{"as_of":"2026-08-19T16:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:50847e89896c0de2de0c176cd8d90374e06170aedf9310bbeabb76ffff9f8bb3","coverage":[{"denominator":11,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T16:47:34.948237Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-21T11:41:26.274423Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T11:44:09.291884Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"cited_work":{"arxiv_id":"2508.20525","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.20525","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"& Peng, Y","venue":null,"work_id":"72280c48-d340-49e9-80e1-1970af24ff9f","year":2025},"citing_paper":{"arxiv_id":"2603.05308","last_updated":"2026-06-01T00:49:17Z","snapshot_observed_at":"2026-08-16T05:24:20.392588Z","submitted_at":"2026-03-05T15:48:43Z","title":"Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-21T11:41:26.274423Z"},"links":{"cited_paper":"/paper/2508.20525","citing_paper":"/paper/2603.05308"},"observation_digest":"sha256:c7788b6fd1065328669c8a43723714f2657d1f785a293df37e6778b17737e57f","observation_id":"56777979-4b31-4025-ad3f-83a8d779ab84","resolution":{"observed_at":"2026-05-21T11:44:09.293635Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.20525/citation-record","integrity":"/paper/2508.20525/integrity","json":"/paper/2508.20525/citation-record.json","paper":"/paper/2508.20525"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:47:34.888277Z","title":"Explainable automated fact-checking for public health claims","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.888277Z"},"links":{"citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:ffb7e22b6cf6970fe69675722429fdfe3644e3dc94fa0a7c6aa07fc99f11b6db","observation_id":"21cd5f54-23c2-4adc-a6c3-572ad411546b","resolution":{"observed_at":"2026-08-15T16:47:34.888277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:47:34.894100Z","title":"Fact checking: Task definition and dataset construction","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.894100Z"},"links":{"citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:33df9a980bdaa53dba3c891a2777a6638cd408484402f4dfc7d2c384c459fe06","observation_id":"82604cff-fca4-4c42-8d8f-f6d46a5666dc","resolution":{"observed_at":"2026-08-15T16:47:34.894100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.hlpt.2018.03.002","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:47:35.068718Z","title":"Waszak, Wioleta Kasprzycka-Waszak, and Alicja Kubanek","venue":null,"work_id":"0e7d9ede-5635-4ec6-8ac3-01310fe00e23","year":2018},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.899978Z"},"links":{"citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:df7a2d4159c2bb5d1b989e0ccbecc297ac99f105113487348e5dfa09fe2a85e1","observation_id":"65a9fb57-9704-4cd5-a91c-8518f7f6a61e","resolution":{"observed_at":"2026-08-15T16:47:35.077627Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06150","last_updated":"2025-02-10T04:33:27Z","snapshot_observed_at":"2026-08-18T18:58:22.844210Z","submitted_at":"2025-02-10T04:33:27Z","title":"Scaling Public Health Text Annotation: Zero-Shot Learning vs. Crowdsourcing for Improved Efficiency and Labeling Accuracy","version":1},"cited_work":{"arxiv_id":"2502.06150","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.06150","snapshot_observed_at":"2026-08-15T16:47:35.143770Z","title":"Scaling Public Health Text Annotation: Zero-Shot Learning vs. Crowdsourcing for Improved Efficiency and Labeling Accuracy","venue":"cs.CL","work_id":"7eeb9f59-92ca-4526-a8cd-e4126322039d","year":2025},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.905497Z"},"links":{"cited_paper":"/paper/2502.06150","citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:c271d21850b2bec4b020197cca68c15690ca94752b6405d0ee9c98b07972915f","observation_id":"e46588f1-45f3-4d3c-a8d1-c5ab1d44ff4d","resolution":{"observed_at":"2026-08-15T16:47:35.150968Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:47:34.912202Z","title":"FEVER: A Large-Scale Dataset for Fact Extraction and VERification","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.912202Z"},"links":{"citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:480a7fd3c023badcb068a588a73a0aae18897195c68f735928caa81544e93434","observation_id":"1d698f51-f1d0-4ebb-a93c-32ffa379a93b","resolution":{"observed_at":"2026-08-15T16:47:34.912202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:47:34.919319Z","title":"Fact or fiction: Verifying scientific claims","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.919319Z"},"links":{"citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:ab25210e70e0adbbf323f3b43496902ade5a50918ada7c47209312a91d73c71f","observation_id":"2cf801aa-56e5-4bef-915c-67f3430e040a","resolution":{"observed_at":"2026-08-15T16:47:34.919319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:47:34.925360Z","title":"MiniCheck : Efficient fact-checking of LLMs on grounding documents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.925360Z"},"links":{"citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:7d2488968e5beba8cb4fb58363144c224f80497a0f925bc5efcd2a1366656d16","observation_id":"45e305b6-6264-4b5b-8e5f-ffaba4253b1e","resolution":{"observed_at":"2026-08-15T16:47:34.925360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:47:34.931454Z","title":"FActScore : Fine-grained atomic evaluation of factual precision in long form text generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.931454Z"},"links":{"citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:66374cf103e8aec86198c2ffc2bb710fffd5829d366562cda07fb4a587d39d8f","observation_id":"7cfaa355-3d04-462a-b235-ca534ee15086","resolution":{"observed_at":"2026-08-15T16:47:34.931454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:47:35.201303Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":"59bed2e8-2956-4fb2-817f-ff9c4ce12945","year":2019},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.937962Z"},"links":{"citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:3b3aea167152fc09a107027ade036ea9fe20d137586561fd4ede13283bdaa77b","observation_id":"1d13057b-d0da-4d91-97f9-baa2863f9a3f","resolution":{"observed_at":"2026-08-15T16:47:35.208557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:47:35.182481Z","title":"A paragraph-level multi-task learning model for scientific fact-verification","venue":null,"work_id":"537791f8-9592-45cb-aefd-e7edb6dbaec5","year":2020},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.942975Z"},"links":{"citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:1d517f44c1a76b224a4f603a58b4f62d59df80f8b31b3e3123785a0c9e37b955","observation_id":"5994d6f1-1234-4c41-a662-2414d26220d0","resolution":{"observed_at":"2026-08-15T16:47:35.188692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:47:34.948237Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T16:47:34.948237Z"},"links":{"citing_paper":"/paper/2508.20525"},"observation_digest":"sha256:85b08eb68a635e186582658814c2eb42c9b57c2ac80f1d0ca2d44251c1f366e0","observation_id":"a9ab059e-5115-4235-8b31-1b1d6957645f","resolution":{"observed_at":"2026-08-15T16:47:34.948237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.20525","last_updated":"2025-08-28T08:06:33Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-18T19:00:45.233279Z","submitted_at":"2025-08-28T08:06:33Z","title":"Enhancing Health Fact-Checking with LLM-Generated Synthetic Data"},"reference_resolution":{"displayed":11,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":2,"verified_fuzzy":2},"total_outbound_references":11},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 1 inbound Pith citation observation for arXiv:2508.20525."}