diff --git a/README.md b/README.md
index 3342af4..2e758c2 100644
--- a/README.md
+++ b/README.md
@@ -58,8 +58,8 @@ However, to scrape publication data from the preprint servers [biorxiv](https://
 ```py
 from paperscraper.get_dumps import biorxiv, medrxiv, chemrxiv
 chemrxiv()  #  Takes <15min -> +50K papers (~30 MB file)
-medrxiv()  #  Takes <30min -> +100K papers (~200 MB file)
-biorxiv()  # Takes <3h -> +450 papers (~800 MB file)
+medrxiv()  #  Takes <5min -> +100K papers (~200 MB file)
+biorxiv()  # Takes <1h -> +450K papers (~800 MB file)
 ```
 *NOTE*: Once the dumps are stored, please make sure to restart the python interpreter so that the changes take effect. 
 *NOTE*: If you experience API connection issues, retries and request behavior can be tuned, e.g.:
@@ -81,11 +81,21 @@ medrxiv(start_date="2023-04-01", end_date="2023-04-08")
 But watch out. The resulting `.jsonl` file will be labelled according to the current date and all your subsequent searches will be based on this file **only**. If you use this option you might want to keep an eye on the source files (`paperscraper/server_dumps/*jsonl`) to ensure they contain the paper metadata for all papers you're interested in.
 
 #### Arxiv local dump
-If you prefer local search rather than using the arxiv API:
+Local search can be faster than using the arxiv API especially if you plan many queries. Paperscraper provides two backends to bulk-download arxiv, `kaggle` and `arxiv`. The default is `kaggle` since it is much faster. Before using it, authenticate with your Kaggle account:
+
+```sh
+kaggle auth login
+```
+
+```py
+from paperscraper.get_dumps import arxiv
+arxiv(start_date='2019-01-01', end_date='2026-12-31')
+```
+NOTE: The disadvantage of `kaggle` backend is that it bulk-downloads **all** of arXiv. For small API-backed dumps, better use the `arxiv` PyPI package backend:
 
 ```py
 from paperscraper.get_dumps import arxiv
-arxiv(start_date='2024-01-01', end_date=None) # scrapes all metadata from 2024 until today.
+arxiv(start_date='2024-01-01',end_date='2024-01-04',backend='api')
 ```
 
 Afterwards you can search the local arxiv dump just like the other x-rxiv dumps.
diff --git a/assets/ai_quantum_chemistry_venn_2025.png b/assets/ai_quantum_chemistry_venn_2025.png
index ae24516..cc080d2 100644
Binary files a/assets/ai_quantum_chemistry_venn_2025.png and b/assets/ai_quantum_chemistry_venn_2025.png differ
diff --git a/assets/ai_quantum_fields.png b/assets/ai_quantum_fields.png
index 9238ee7..8112cfa 100644
Binary files a/assets/ai_quantum_fields.png and b/assets/ai_quantum_fields.png differ
diff --git a/assets/ai_quantum_venn_2024.png b/assets/ai_quantum_venn_2024.png
index d54af58..a35dea7 100644
Binary files a/assets/ai_quantum_venn_2024.png and b/assets/ai_quantum_venn_2024.png differ
diff --git a/assets/ai_quantum_venn_both.png b/assets/ai_quantum_venn_both.png
index e242981..38d3234 100644
Binary files a/assets/ai_quantum_venn_both.png and b/assets/ai_quantum_venn_both.png differ
diff --git a/paperscraper/arxiv/arxiv.py b/paperscraper/arxiv/arxiv.py
index 3c33efd..98f42e0 100644
--- a/paperscraper/arxiv/arxiv.py
+++ b/paperscraper/arxiv/arxiv.py
@@ -25,10 +25,14 @@ def search_local_arxiv():
     global ARXIV_QUERIER
     if ARXIV_QUERIER is not None:
         return
-    dump_paths = glob.glob(os.path.join(dump_root, "arxiv*"))
+    dump_paths = [
+        path
+        for path in glob.glob(os.path.join(dump_root, "arxiv*.jsonl"))
+        if os.path.isfile(path)
+    ]
 
     if len(dump_paths) > 0:
-        path = sorted(dump_paths, reverse=True)[0]
+        path = max(dump_paths, key=os.path.getmtime)
         querier = XRXivQuery(path)
         if not querier.errored:
             ARXIV_QUERIER = querier.search_keywords
diff --git a/paperscraper/arxiv/kaggle.py b/paperscraper/arxiv/kaggle.py
new file mode 100644
index 0000000..30aea60
--- /dev/null
+++ b/paperscraper/arxiv/kaggle.py
@@ -0,0 +1,208 @@
+"""Kaggle-backed arXiv metadata dumping utilities."""
+
+import glob
+import json
+import os
+import shutil
+from datetime import datetime, timezone
+from email.utils import parsedate_to_datetime
+from typing import Optional
+
+from tqdm import tqdm
+
+from ..utils import get_server_dumps_dir
+
+DEFAULT_KAGGLE_DATASET = "Cornell-University/arxiv"
+
+
+def arxiv_kaggle(
+    start_date: datetime,
+    end_date: datetime,
+    save_path: str,
+    kaggle_filepath: Optional[str] = None,
+) -> int:
+    """Convert a Kaggle arXiv metadata snapshot to paperscraper JSONL format.
+
+    Args:
+        start_date: Earliest paper submission date to include.
+        end_date: Latest paper submission date to include.
+        save_path: Destination JSONL path for converted papers.
+        kaggle_filepath: Existing Kaggle snapshot file. If provided, no Kaggle
+            download is attempted.
+
+    Returns:
+        Number of papers written to `save_path`.
+    """
+    cleanup_dir = default_kaggle_dir() if kaggle_filepath is None else None
+    if kaggle_filepath is None:
+        kaggle_filepath = download_kaggle_snapshot()
+
+    try:
+        written = 0
+        os.makedirs(os.path.dirname(os.path.abspath(save_path)), exist_ok=True)
+        total_size = os.path.getsize(kaggle_filepath)
+        with (
+            open(kaggle_filepath, "r", encoding="utf-8") as in_fp,
+            open(save_path, "w", encoding="utf-8") as out_fp,
+            tqdm(
+                total=total_size,
+                desc="Converting arXiv Kaggle snapshot",
+                unit="B",
+                unit_scale=True,
+            ) as progress_bar,
+        ):
+            for line in in_fp:
+                progress_bar.update(len(line.encode("utf-8")))
+                if not line.strip():
+                    continue
+
+                record = json.loads(line)
+                paper_date = get_kaggle_paper_date(record)
+                if paper_date is None or not start_date <= paper_date <= end_date:
+                    continue
+
+                if written > 0:
+                    out_fp.write(os.linesep)
+                out_fp.write(json.dumps(normalize_kaggle_record(record, paper_date)))
+                written += 1
+        return written
+    finally:
+        if cleanup_dir is not None:
+            shutil.rmtree(cleanup_dir, ignore_errors=True)
+
+
+def download_kaggle_snapshot() -> str:
+    """Download the Kaggle arXiv metadata snapshot if needed.
+
+    Returns:
+        Path to the local Kaggle snapshot JSON file.
+
+    Raises:
+        ImportError: If the `kaggle` package is not installed.
+        RuntimeError: If Kaggle authentication is missing or invalid.
+        FileNotFoundError: If the download succeeds but no snapshot JSON is found.
+    """
+    kaggle_dir = default_kaggle_dir()
+    os.makedirs(kaggle_dir, exist_ok=True)
+
+    if existing_snapshot := find_kaggle_snapshot(kaggle_dir):
+        return existing_snapshot
+
+    try:
+        from kaggle.api.kaggle_api_extended import KaggleApi
+    except ImportError as exc:
+        raise ImportError(
+            "The Kaggle backend requires the `kaggle` package. Install it with "
+            "`pip install kaggle` or `uv add kaggle`."
+        ) from exc
+    except SystemExit as exc:
+        raise RuntimeError(
+            "Kaggle authentication is required for the arXiv Kaggle backend. "
+            "Run `kaggle auth login` or configure Kaggle credentials."
+        ) from exc
+
+    api = KaggleApi()
+    try:
+        api.authenticate()
+    except Exception as exc:
+        raise RuntimeError(
+            "Kaggle authentication is required for the arXiv Kaggle backend. "
+            "Run `kaggle auth login` or configure Kaggle credentials."
+        ) from exc
+    api.dataset_download_files(
+        DEFAULT_KAGGLE_DATASET,
+        path=kaggle_dir,
+        unzip=True,
+        quiet=False,
+    )
+
+    snapshot = find_kaggle_snapshot(kaggle_dir)
+    if snapshot is None:
+        raise FileNotFoundError(f"No arXiv Kaggle snapshot found in {kaggle_dir}")
+    return snapshot
+
+
+def default_kaggle_dir() -> str:
+    """Return the default temporary directory for Kaggle arXiv downloads.
+
+    Returns:
+        Path to the default Kaggle download directory.
+    """
+    return os.path.join(get_server_dumps_dir(), "arxiv_kaggle")
+
+
+def find_kaggle_snapshot(kaggle_dir: str) -> Optional[str]:
+    """Find the arXiv metadata snapshot JSON in a Kaggle download directory.
+
+    Args:
+        kaggle_dir: Directory to search.
+
+    Returns:
+        Path to the largest candidate JSON file, or None if no candidate exists.
+    """
+    candidates = [
+        *glob.glob(os.path.join(kaggle_dir, "arxiv-metadata*.json")),
+        *glob.glob(os.path.join(kaggle_dir, "*.json")),
+    ]
+    candidates = [path for path in candidates if os.path.isfile(path)]
+    if not candidates:
+        return None
+    return sorted(candidates, key=os.path.getsize, reverse=True)[0]
+
+
+def get_kaggle_paper_date(record: dict) -> Optional[datetime]:
+    """Extract the first submission date from a Kaggle arXiv record.
+
+    Args:
+        record: Raw Kaggle arXiv metadata record.
+
+    Returns:
+        Naive UTC-normalized submission date at midnight, or None if no usable
+        date is available.
+    """
+    created = next(
+        (version.get("created") for version in record.get("versions", []) if version),
+        None,
+    )
+    if created:
+        try:
+            date = parsedate_to_datetime(created)
+            if date.tzinfo is not None:
+                date = date.astimezone(timezone.utc).replace(tzinfo=None)
+            return date.replace(hour=0, minute=0, second=0, microsecond=0)
+        except (TypeError, ValueError):
+            pass
+
+    update_date = record.get("update_date")
+    if update_date:
+        try:
+            return datetime.strptime(update_date, "%Y-%m-%d")
+        except ValueError:
+            return None
+    return None
+
+
+def normalize_kaggle_record(record: dict, paper_date: datetime) -> dict:
+    """Normalize a Kaggle arXiv record to paperscraper dump fields.
+
+    Args:
+        record: Raw Kaggle arXiv metadata record.
+        paper_date: Submission date returned by `get_kaggle_paper_date`.
+
+    Returns:
+        Dictionary with paperscraper's standard `title`, `authors`, `date`,
+        `abstract`, `journal`, and `doi` fields.
+    """
+    arxiv_id = str(record.get("id", "")).split("v")[0]
+    return {
+        "title": normalize_whitespace(record.get("title", "")),
+        "authors": normalize_whitespace(record.get("authors", "")),
+        "date": paper_date.strftime("%Y-%m-%d"),
+        "abstract": normalize_whitespace(record.get("abstract", "")),
+        "journal": normalize_whitespace(record.get("journal-ref", "")),
+        "doi": record.get("doi") or f"10.48550/arXiv.{arxiv_id}",
+    }
+
+
+def normalize_whitespace(value: Optional[str]) -> str:
+    return " ".join(str(value or "").split())
diff --git a/paperscraper/get_dumps/arxiv.py b/paperscraper/get_dumps/arxiv.py
index 33bdc40..d70ace4 100644
--- a/paperscraper/get_dumps/arxiv.py
+++ b/paperscraper/get_dumps/arxiv.py
@@ -3,11 +3,12 @@
 import json
 import os
 from datetime import datetime, timedelta
-from typing import Optional
+from typing import Literal, Optional
 
 from tqdm import tqdm
 
 from ..arxiv import get_arxiv_papers_api
+from ..arxiv.kaggle import arxiv_kaggle
 from ..utils import get_server_dumps_dir
 
 today = datetime.today().strftime("%Y-%m-%d")
@@ -19,6 +20,10 @@ def arxiv(
     start_date: Optional[str] = None,
     end_date: Optional[str] = None,
     save_path: str = save_path,
+    backend: Literal["api", "kaggle"] = "kaggle",
+    page_size: int = 2000,
+    delay_seconds: float = 3.0,
+    num_retries: int = 3,
 ):
     """
     Fetches papers from arXiv based on time range, i.e., start_date and end_date.
@@ -29,7 +34,17 @@ def arxiv(
         start_date (str, optional): Start date in format YYYY-MM-DD. Defaults to None.
         end_date (str, optional): End date in format YYYY-MM-DD. Defaults to None.
         save_path (str, optional): Path to save the JSONL dump. Defaults to save_path.
+        backend: Metadata source. If `api`, use the arxiv package/API. If `kaggle`,
+            use the Kaggle arXiv metadata snapshot. Defaults to `kaggle`.
+        page_size (int, optional): Number of records requested per API page.
+            arXiv allows at most 2000. Defaults to 2000.
+        delay_seconds (float, optional): Delay between API requests. arXiv asks for
+            at least 3 seconds. Defaults to 3.0.
+        num_retries (int, optional): Number of retries per API page. Defaults to 3.
     """
+    if backend not in {"api", "kaggle"}:
+        raise ValueError("backend must be one of ['api', 'kaggle']")
+
     # Set default dates
     EARLIEST_START = "1991-01-01"
     if start_date is None:
@@ -46,6 +61,13 @@ def arxiv(
             f"start_date {start_date} cannot be later than end_date {end_date}"
         )
 
+    if backend == "kaggle":
+        return arxiv_kaggle(
+            start_date=start_date,
+            end_date=end_date,
+            save_path=save_path,
+        )
+
     # Open file for writing results
     with open(save_path, "w") as fp:
         progress_bar = tqdm(total=(end_date - start_date).days + 1)
@@ -63,6 +85,11 @@ def arxiv(
                 papers = get_arxiv_papers_api(
                     query=query,
                     fields=["title", "authors", "date", "abstract", "journal", "doi"],
+                    client_options={
+                        "page_size": page_size,
+                        "delay_seconds": delay_seconds,
+                        "num_retries": num_retries,
+                    },
                     verbose=False,
                 )
                 if not papers.empty:
diff --git a/paperscraper/pdf/fallbacks.py b/paperscraper/pdf/fallbacks.py
index aae8345..1818fc4 100644
--- a/paperscraper/pdf/fallbacks.py
+++ b/paperscraper/pdf/fallbacks.py
@@ -26,6 +26,10 @@
 logger = logging.getLogger(__name__)
 
 
+class NCBIRateLimitError(RuntimeError):
+    """Raised when NCBI returns a rate-limit response."""
+
+
 def fallback_wiley_api(
     paper_metadata: Dict[str, Any],
     output_path: Path,
@@ -93,7 +97,12 @@ def fallback_wiley_api(
     return success
 
 
-def fallback_bioc_pmc(doi: str, output_path: Path) -> bool:
+def fallback_bioc_pmc(
+    doi: str,
+    output_path: Path,
+    max_attempts: int = 3,
+    retry_sleep: int = 10,
+) -> bool:
     """
     Attempt to download the XML via the BioC-PMC fallback.
 
@@ -107,6 +116,8 @@ def fallback_bioc_pmc(doi: str, output_path: Path) -> bool:
     Args:
         doi (str): The DOI of the paper to retrieve.
         output_path (Path): A pathlib.Path object representing the path where the XML file will be saved.
+        max_attempts (int): Maximum number of attempts for rate-limited API calls.
+        retry_sleep (int): Base sleep duration between retry attempts.
 
     Returns:
         bool: True if the XML file was successfully downloaded, False otherwise.
@@ -122,42 +133,75 @@ def fallback_bioc_pmc(doi: str, output_path: Path) -> bool:
         "idtype": "doi",
         "format": "json",
     }
-    try:
-        conv_response = requests.get(converter_url, params=params, timeout=60)
-        conv_response.raise_for_status()
-        data = conv_response.json()
-        records = data.get("records", [])
-        if not records or "pmcid" not in records[0]:
-            logger.warning(
-                f"No PMCID available for DOI {doi}. Fallback via PMC therefore not possible."
+    for attempt in range(1, max_attempts + 1):
+        try:
+            conv_response = requests.get(converter_url, params=params, timeout=60)
+            if conv_response.status_code == 429:
+                raise NCBIRateLimitError(
+                    f"NCBI rate-limited DOI to PMCID conversion for {doi}"
+                )
+            conv_response.raise_for_status()
+            data = conv_response.json()
+            records = data.get("records", [])
+            if not records or "pmcid" not in records[0]:
+                logger.warning(
+                    f"No PMCID available for DOI {doi}. Fallback via PMC therefore not possible."
+                )
+                return False
+            pmcid = records[0]["pmcid"]
+            logger.info(f"Converted DOI {doi} to PMCID {pmcid}.")
+            break
+        except NCBIRateLimitError as conv_err:
+            if attempt == max_attempts:
+                logger.error(f"Error during DOI to PMCID conversion: {conv_err}")
+                return False
+            logger.info(
+                f"NCBI rate limit hit during DOI to PMCID conversion "
+                f"(attempt {attempt}/{max_attempts}); retrying"
             )
+            time.sleep(retry_sleep * attempt)
+        except Exception as conv_err:
+            logger.error(f"Error during DOI to PMCID conversion: {conv_err}")
             return False
-        pmcid = records[0]["pmcid"]
-        logger.info(f"Converted DOI {doi} to PMCID {pmcid}.")
-    except Exception as conv_err:
-        logger.error(f"Error during DOI to PMCID conversion: {conv_err}")
-        return False
 
     # Construct PMC XML URL
     xml_url = f"https://www.ncbi.nlm.nih.gov/research/bionlp/RESTful/pmcoa.cgi/BioC_xml/{pmcid}/unicode"
     logger.info(f"Attempting to download XML from BioC-PMC URL: {xml_url}")
-    try:
-        xml_response = requests.get(xml_url, timeout=60)
-        xml_response.raise_for_status()
-        xml_path = output_path.with_suffix(".xml")
-        # check for xml error:
-        if xml_response.content.startswith(
-            b"[Error] : No result can be found. <BR><HR><B> - https://www.ncbi.nlm.nih.gov/research/bionlp/RESTful/"
-        ):
-            logger.warning(f"No XML found for DOI {doi} at BioC-PMC URL {xml_url}.")
+    for attempt in range(1, max_attempts + 1):
+        try:
+            xml_response = requests.get(xml_url, timeout=60)
+            if xml_response.status_code == 429:
+                raise NCBIRateLimitError(
+                    f"NCBI rate-limited BioC-PMC XML download for {doi}"
+                )
+            xml_response.raise_for_status()
+            xml_path = output_path.with_suffix(".xml")
+            # check for xml error:
+            if xml_response.content.startswith(
+                b"[Error] : No result can be found. <BR><HR><B> - https://www.ncbi.nlm.nih.gov/research/bionlp/RESTful/"
+            ):
+                logger.warning(f"No XML found for DOI {doi} at BioC-PMC URL {xml_url}.")
+                return False
+            with open(xml_path, "wb+") as f:
+                f.write(xml_response.content)
+            logger.info(f"Successfully downloaded XML for DOI {doi} to {xml_path}.")
+            return True
+        except NCBIRateLimitError as xml_err:
+            if attempt == max_attempts:
+                logger.error(
+                    f"Failed to download XML from BioC-PMC URL {xml_url}: {xml_err}"
+                )
+                return False
+            logger.info(
+                f"NCBI rate limit hit during BioC-PMC XML download "
+                f"(attempt {attempt}/{max_attempts}); retrying"
+            )
+            time.sleep(retry_sleep * attempt)
+        except Exception as xml_err:
+            logger.error(
+                f"Failed to download XML from BioC-PMC URL {xml_url}: {xml_err}"
+            )
             return False
-        with open(xml_path, "wb+") as f:
-            f.write(xml_response.content)
-        logger.info(f"Successfully downloaded XML for DOI {doi} to {xml_path}.")
-        return True
-    except Exception as xml_err:
-        logger.error(f"Failed to download XML from BioC-PMC URL {xml_url}: {xml_err}")
-        return False
 
 
 def fallback_elsevier_api(
diff --git a/paperscraper/tests/test_dump.py b/paperscraper/tests/test_dump.py
index 307f415..7e54df6 100644
--- a/paperscraper/tests/test_dump.py
+++ b/paperscraper/tests/test_dump.py
@@ -1,4 +1,5 @@
 import importlib
+import json
 import logging
 import multiprocessing
 import os
@@ -13,9 +14,10 @@
 import paperscraper.load_dumps as load_dumps_module
 from paperscraper import dump_queries
 from paperscraper.arxiv import get_and_dump_arxiv_papers
+from paperscraper.arxiv.kaggle import arxiv_kaggle
 from paperscraper.get_dumps import arxiv, biorxiv, chemrxiv, medrxiv
 from paperscraper.load_dumps import QUERY_FN_DICT
-from paperscraper.utils import get_server_dumps_dir
+from paperscraper.utils import get_server_dumps_dir, load_jsonl
 
 logging.disable(logging.INFO)
 
@@ -65,11 +67,23 @@ def test_dump_existence_initial(self):
 
     @pytest.fixture
     def setup_medrxiv(self):
-        return partial(medrxiv, max_retries=2)
+        return partial(
+            medrxiv,
+            start_date="2024-06-01",
+            end_date="2024-06-01",
+            max_retries=2,
+            max_workers=1,
+        )
 
     @pytest.fixture
     def setup_biorxiv(self):
-        return partial(biorxiv, max_retries=2)
+        return partial(
+            biorxiv,
+            start_date="2014-06-01",
+            end_date="2014-06-04",
+            max_retries=2,
+            max_workers=1,
+        )
 
     @pytest.fixture
     def setup_chemrxiv(self):
@@ -77,7 +91,7 @@ def setup_chemrxiv(self):
 
     @pytest.fixture
     def setup_arxiv(self):
-        return arxiv
+        return partial(arxiv, backend="api")
 
     def run_function_with_timeout(self, func, timeout):
         queue = multiprocessing.Queue()
@@ -141,10 +155,13 @@ def test_biorxiv_date(self):
     def test_arxiv_date(self):
         # Result of this may be empty because arxiv updates not daily.
         # With days=4 it should never be empty.
-        arxiv(start_date=(datetime.today() - timedelta(days=1)).strftime("%Y-%m-%d"))
+        arxiv(
+            start_date=(datetime.today() - timedelta(days=1)).strftime("%Y-%m-%d"),
+            backend="api",
+        )
 
-        arxiv(end_date="1991-01-01")
-        arxiv(start_date="1993-04-03", end_date="1993-04-03")
+        arxiv(end_date="1991-01-01", backend="api")
+        arxiv(start_date="1993-04-03", end_date="1993-04-03", backend="api")
 
     def test_arxiv_wrong_date(self):
         with pytest.raises(
@@ -152,6 +169,50 @@ def test_arxiv_wrong_date(self):
         ):
             arxiv(start_date="2024-06-02", end_date="2024-06-01")
 
+    def test_arxiv_kaggle_backend(self, tmp_path):
+        kaggle_filepath = tmp_path / "arxiv-metadata-oai-snapshot.json"
+        records = [
+            {
+                "id": "1901.00001",
+                "authors": "Ada Lovelace",
+                "title": " Quantum  circuits ",
+                "abstract": " A useful result. ",
+                "journal-ref": "Journal of Tests",
+                "doi": "",
+                "versions": [
+                    {"version": "v1", "created": "Tue, 01 Jan 2019 00:00:00 GMT"}
+                ],
+                "update_date": "2019-01-02",
+            },
+            {
+                "id": "2001.00001",
+                "authors": "Grace Hopper",
+                "title": "Outside range",
+                "abstract": "Ignore me.",
+                "versions": [
+                    {"version": "v1", "created": "Wed, 01 Jan 2020 00:00:00 GMT"}
+                ],
+                "update_date": "2020-01-02",
+            },
+        ]
+        with open(kaggle_filepath, "w", encoding="utf-8") as fp:
+            for record in records:
+                fp.write(json.dumps(record) + "\n")
+
+        output_filepath = tmp_path / "arxiv_2019.jsonl"
+        arxiv_kaggle(
+            start_date=datetime.strptime("2019-01-01", "%Y-%m-%d"),
+            end_date=datetime.strptime("2019-12-31", "%Y-%m-%d"),
+            save_path=str(output_filepath),
+            kaggle_filepath=str(kaggle_filepath),
+        )
+
+        papers = load_jsonl(str(output_filepath))
+        assert len(papers) == 1
+        assert papers[0]["title"] == "Quantum circuits"
+        assert papers[0]["date"] == "2019-01-01"
+        assert papers[0]["doi"] == "10.48550/arXiv.1901.00001"
+
     def test_dumping(self):
         queries = [["MPEGO"]]
         self.run_with_arxiv_retries(
diff --git a/paperscraper/xrxiv/xrxiv_api.py b/paperscraper/xrxiv/xrxiv_api.py
index 5cddd87..6cd3da3 100644
--- a/paperscraper/xrxiv/xrxiv_api.py
+++ b/paperscraper/xrxiv/xrxiv_api.py
@@ -528,11 +528,9 @@ def get_papers(
                 returned_count = len(collection)
                 cursor += returned_count
 
-                # API pages are capped at 100 items. If we got less than that, we
-                # reached the end of this interval without another request.
-                if returned_count < 100:
-                    break
-
+                # The x-rxiv API page size is controlled server-side and has
+                # changed over time. Keep paginating until the reported total is
+                # reached, or until the API returns an empty collection.
                 total = _to_int(message.get("total"), default=0)
                 if total and cursor >= total:
                     break
@@ -546,7 +544,7 @@ def __init__(
         max_retries: int = 10,
         request_timeout: Tuple[float, float] = (5.0, 30.0),
         retry_backoff_seconds: float = 1.0,
-        window_days: int = 365,
+        window_days: int = 30,
     ):
         super().__init__(
             server="biorxiv",
@@ -566,7 +564,7 @@ def __init__(
         max_retries: int = 10,
         request_timeout: Tuple[float, float] = (5.0, 30.0),
         retry_backoff_seconds: float = 1.0,
-        window_days: int = 365,
+        window_days: int = 30,
     ):
         super().__init__(
             server="medrxiv",
diff --git a/pyproject.toml b/pyproject.toml
index 4008944..c8f9781 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -58,6 +58,7 @@ dependencies = [
   "unidecode",
   "dotenv",
   "boto3",
+  "kaggle>=1.7.4.5",
 ]
 
 [project.urls]
diff --git a/uv.lock b/uv.lock
index 2b6ab8f..37c207f 100644
--- a/uv.lock
+++ b/uv.lock
@@ -163,6 +163,42 @@ dependencies = [
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/92/8d/e296c7af03757debd8fc80df2898cbed4fb69fc61ed2c9b4a1d42e923a9e/bibtexparser-1.4.3.tar.gz", hash = "sha256:a9c7ded64bc137720e4df0b1b7f12734edc1361185f1c9097048ff7c35af2b8f", size = 55582, upload-time = "2024-12-19T20:41:57.754Z" }
 
+[[package]]
+name = "bleach"
+version = "6.2.0"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.10'",
+]
+dependencies = [
+    { name = "webencodings", marker = "python_full_version < '3.10'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/76/9a/0e33f5054c54d349ea62c277191c020c2d6ef1d65ab2cb1993f91ec846d1/bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f", size = 203083, upload-time = "2024-10-29T18:30:40.477Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fc/55/96142937f66150805c25c4d0f31ee4132fd33497753400734f9dfdcbdc66/bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e", size = 163406, upload-time = "2024-10-29T18:30:38.186Z" },
+]
+
+[[package]]
+name = "bleach"
+version = "6.3.0"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.12' and sys_platform == 'win32'",
+    "python_full_version == '3.11.*' and sys_platform == 'win32'",
+    "python_full_version >= '3.12' and sys_platform == 'emscripten'",
+    "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.10.*'",
+]
+dependencies = [
+    { name = "webencodings", marker = "python_full_version >= '3.10'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/07/18/3c8523962314be6bf4c8989c79ad9531c825210dd13a8669f6b84336e8bd/bleach-6.3.0.tar.gz", hash = "sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22", size = 203533, upload-time = "2025-10-27T17:57:39.211Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cd/3a/577b549de0cc09d95f11087ee63c739bba856cd3952697eec4c4bb91350a/bleach-6.3.0-py3-none-any.whl", hash = "sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6", size = 164437, upload-time = "2025-10-27T17:57:37.538Z" },
+]
+
 [[package]]
 name = "blinker"
 version = "1.9.0"
@@ -1018,6 +1054,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/51/37/b3ea9cd5558ff4cb51957caca2193981c6b0ff30bd0d2630ac62505d99d0/fake_useragent-2.2.0-py3-none-any.whl", hash = "sha256:67f35ca4d847b0d298187443aaf020413746e56acd985a611908c73dba2daa24", size = 161695, upload-time = "2025-04-14T15:32:17.732Z" },
 ]
 
+[[package]]
+name = "fastjsonschema"
+version = "2.21.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/b5/23b216d9d985a956623b6bd12d4086b60f0059b27799f23016af04a74ea1/fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de", size = 374130, upload-time = "2025-08-14T18:49:36.666Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cb/a8/20d0723294217e47de6d9e2e40fd4a9d2f7c4b6ef974babd482a59743694/fastjsonschema-2.21.2-py3-none-any.whl", hash = "sha256:1c797122d0a86c5cace2e54bf4e819c36223b552017172f32c5c024a6b77e463", size = 24024, upload-time = "2025-08-14T18:49:34.776Z" },
+]
+
 [[package]]
 name = "feedparser"
 version = "6.0.12"
@@ -1678,6 +1723,136 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/14/2f/967ba146e6d58cf6a652da73885f52fc68001525b4197effc174321d70b4/jmespath-1.1.0-py3-none-any.whl", hash = "sha256:a5663118de4908c91729bea0acadca56526eb2698e83de10cd116ae0f4e97c64", size = 20419, upload-time = "2026-01-22T16:35:24.919Z" },
 ]
 
+[[package]]
+name = "jsonschema"
+version = "4.26.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs", marker = "python_full_version >= '3.11'" },
+    { name = "jsonschema-specifications", marker = "python_full_version >= '3.11'" },
+    { name = "referencing", marker = "python_full_version >= '3.11'" },
+    { name = "rpds-py", marker = "python_full_version >= '3.11'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b3/fc/e067678238fa451312d4c62bf6e6cf5ec56375422aee02f9cb5f909b3047/jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326", size = 366583, upload-time = "2026-01-07T13:41:07.246Z" }
+wheels = [
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+]
+
+[[package]]
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+version = "2025.9.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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+wheels = [
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 [[package]]
 name = "keyring"
 version = "25.7.0"
@@ -2287,6 +2462,18 @@ dependencies = [
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 sdist = { url = "https://files.pythonhosted.org/packages/e8/f7/47bddf95492f4d1370ed7164d2b16407805e8eeb38231361de65d387a562/matplotlib-venn-1.1.2.tar.gz", hash = "sha256:6f2b07a03e9bb5a62de2f32f965216739e175176f9d654dd19e7af2c22ec36e3", size = 40821, upload-time = "2025-02-25T10:44:24.294Z" }
 
+[[package]]
+name = "mdit-py-plugins"
+version = "0.6.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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 [[package]]
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 version = "0.1.2"
@@ -2512,6 +2699,21 @@ wheels = [
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