{"as_of":"2026-08-08T02:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a3269acf950a578ffb6d025aa6aae258a272b5bc5e91aeae9ea56c40aba214e0","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:05:36.246567Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.00612/citation-record","integrity":"/paper/2506.00612/integrity","json":"/paper/2506.00612/citation-record.json","paper":"/paper/2506.00612"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.01512","last_updated":"2024-10-11T04:52:48Z","snapshot_observed_at":"2026-08-01T15:45:04.709462Z","submitted_at":"2024-02-02T15:53:31Z","title":"Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation","version":2},"cited_work":{"arxiv_id":"2402.01512","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.01512","snapshot_observed_at":"2026-08-07T12:05:37.130232Z","title":"Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation","venue":"cs.CL","work_id":"1f8fdfdc-2d07-46e2-9954-936a90b21999","year":2024},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:34.654961Z"},"links":{"cited_paper":"/paper/2402.01512","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:b1e7dc6048a9e9f6b8c715478a2f4ca4a07482d6593f5e6e3a9073ebe7ea67fa","observation_id":"9464dca2-3468-4b8d-af23-362c077a5ee8","resolution":{"observed_at":"2026-08-07T12:05:37.209830Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:05:35.106489Z","title":"doi: 10.1145/3447772","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.106489Z"},"links":{"citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:c6c660469072a38220f5aa7553f06531a7ad945709a58cff10c3dc5be0f4bdf4","observation_id":"a938f4f0-a675-49c4-a1db-b167a79b5dd9","resolution":{"observed_at":"2026-08-07T12:05:35.106489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.11632","last_updated":"2025-01-22T06:17:14Z","snapshot_observed_at":"2026-07-06T20:23:31.551214Z","submitted_at":"2025-01-20T18:02:03Z","title":"Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.11632","snapshot_observed_at":"2026-08-07T12:05:35.245320Z","title":"org/abs/2501.11632","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.245320Z"},"links":{"cited_paper":"/paper/2501.11632","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:bc99747e37d3ac0ab5b0c296d2edc8a8a07b4ddc294169eebbdf1378a87d0963","observation_id":"b16289d1-299e-4465-bd42-cc8a6da6d6fb","resolution":{"observed_at":"2026-08-07T12:05:35.245320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T12:05:35.386825Z","title":"Pal, A., Umapathi, L","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.386825Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:a75440418c6a929a6a69bc3f963b73f28de48080f1af0ec6014f543f710e8cf1","observation_id":"0f34ba76-33d9-48a2-bed8-dced657b7d58","resolution":{"observed_at":"2026-08-07T12:05:35.386825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08921","last_updated":"2024-09-10T15:38:56Z","snapshot_observed_at":"2026-07-06T19:01:41.274385Z","submitted_at":"2024-08-15T12:20:24Z","title":"Graph Retrieval-Augmented Generation: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08921","snapshot_observed_at":"2026-08-07T12:05:35.466580Z","title":"Phan, L., Gatti, A., Han, Z., Li, N., Hu, J., Zhang, H., Zhang, C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.466580Z"},"links":{"cited_paper":"/paper/2408.08921","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:07fb0f13e266c0d00c8902cb0afcd844f6c6beba8ec51f66172f2a75750efd2f","observation_id":"62cc2919-1a0f-4f37-92c6-fff92aa2be64","resolution":{"observed_at":"2026-08-07T12:05:35.466580Z","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":"2026-08-07T12:05:37.581307Z","title":"Distractor generation using generative and discriminative capabilities of transformer-based models","venue":null,"work_id":"206f8f8c-87dc-4002-aa1f-ba3b73054d84","year":2024},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.544451Z"},"links":{"citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:24c9dc1bb47976167db5fade75b3de2d7935c6314f10ee6fb3fec52d8f34c24f","observation_id":"c94374ea-09dd-4708-b5e5-149b2baf2712","resolution":{"observed_at":"2026-08-07T12:05:37.627785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05530","last_updated":"2024-12-16T17:39:39Z","snapshot_observed_at":"2026-07-06T17:41:42.995949Z","submitted_at":"2024-03-08T18:54:20Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05530","snapshot_observed_at":"2026-08-07T12:05:35.634864Z","title":"I., Burnell, R., Bai, L., Gulati, A., Tanzer, G., Vincent, D., Pan, Z., Wang, S., et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.634864Z"},"links":{"cited_paper":"/paper/2403.05530","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:c133b94aefbef6e892ded9798898517876a9d0c3171b6c69690b4aa8319fa8e0","observation_id":"ffb2a9a7-2873-434c-b1b5-ca1d01947ead","resolution":{"observed_at":"2026-08-07T12:05:35.634864Z","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":"2026-08-07T12:05:37.470159Z","title":"H., and MacNeil, S","venue":null,"work_id":"c184cd6a-0bef-4d43-a8e7-540c1d81acbb","year":2023},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.735105Z"},"links":{"citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:d7e28cf14dc3d537bde6a5067788c904e0cfa7c2ad721e6be3f1f2bb25cc03df","observation_id":"33c861c9-2f34-48b1-9240-5489112fbdf9","resolution":{"observed_at":"2026-08-07T12:05:37.522148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03009","last_updated":"2024-06-05T07:16:51Z","snapshot_observed_at":"2026-08-03T17:12:19.082790Z","submitted_at":"2024-06-05T07:16:51Z","title":"Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03009","snapshot_observed_at":"2026-08-07T12:05:35.814703Z","title":"Unveiling selection biases: Exploring order and token sensitivity in large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.814703Z"},"links":{"cited_paper":"/paper/2406.03009","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:c01e8b14173b84c7a64434c2f4fb9b5f7648a84fa7546898afe10982b3263a0d","observation_id":"826c63b1-2466-44ca-a6c7-0aaabfa18f05","resolution":{"observed_at":"2026-08-07T12:05:35.814703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.00993","last_updated":"2025-04-04T18:29:18Z","snapshot_observed_at":"2026-08-07T16:16:51.008728Z","submitted_at":"2025-04-01T17:31:44Z","title":"MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.00993","snapshot_observed_at":"2026-08-07T12:05:35.877233Z","title":"Medreason: Eliciting factual medical reasoning steps in llms via knowledge graphs","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.877233Z"},"links":{"cited_paper":"/paper/2504.00993","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:b591fa78001945b3eacca5901725b88dfa0851df41cb5437fc33cf542ec5e432","observation_id":"7c72d925-91b5-44be-9d92-273d106a100c","resolution":{"observed_at":"2026-08-07T12:05:35.877233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.15277","last_updated":"2024-09-23T17:59:43Z","snapshot_observed_at":"2026-08-07T23:41:53.087365Z","submitted_at":"2024-09-23T17:59:43Z","title":"A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15277","snapshot_observed_at":"2026-08-07T12:05:35.983531Z","title":"A preliminary study of o1 in medicine: Are we closer to an ai doctor? arXiv preprint arXiv:2409.15277,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.983531Z"},"links":{"cited_paper":"/paper/2409.15277","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:eccc3362923fc10e60d2277fed9a993686960310a0078aadf97d5be1643fb75b","observation_id":"21472ea8-336c-4bdf-bdf7-3dd39e5603bd","resolution":{"observed_at":"2026-08-07T12:05:35.983531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18362","last_updated":"2025-06-06T13:00:07Z","snapshot_observed_at":"2026-07-06T20:28:24.203633Z","submitted_at":"2025-01-30T14:07:56Z","title":"MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18362","snapshot_observed_at":"2026-08-07T12:05:36.112254Z","title":"URL https://www.biorxiv.org/content/ early/2023/10/17/2023.10.13.562216","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:36.112254Z"},"links":{"cited_paper":"/paper/2501.18362","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:75a3bcf4f09fc57a4730e6278440a451e4cadeb36d2c798d6b57cfebb785a595","observation_id":"b373415e-d784-4a85-8e22-d02a0c3ab2c4","resolution":{"observed_at":"2026-08-07T12:05:36.112254Z","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":"2026-08-07T12:05:37.344960Z","title":"Question Entity","venue":null,"work_id":"07727d74-2082-4ed8-8ac6-aafde8f4c2da","year":2024},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:36.246567Z"},"links":{"citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:1a2c9e0db9cef6f2f7ceefdb5a25eabe65eca8ca4b0a1f346b190f1813350c14","observation_id":"1bb7a7b5-a74b-4175-9034-c9e53ffed8be","resolution":{"observed_at":"2026-08-07T12:05:37.396950Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1101/011569","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:05:36.395644Z","title":"URL https://www.biorxiv","venue":null,"work_id":"ef663a45-758f-42fd-9357-d780e11bccdf","year":2014},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.027717Z"},"links":{"citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:2bba6c1303ea6581907e4adae39a34f80b3707939f5f6d35bdf557cd3b681999","observation_id":"35c2cada-c056-4f2b-b4ed-782c1ccf7b79","resolution":{"observed_at":"2026-08-07T12:05:36.450623Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.06146","last_updated":"2019-09-13T11:18:20Z","snapshot_observed_at":"2026-07-06T08:21:28.880621Z","submitted_at":"2019-09-13T11:18:20Z","title":"PubMedQA: A Dataset for Biomedical Research Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.06146","snapshot_observed_at":"2026-08-07T12:05:35.173239Z","title":"Liu, A., Feng, B., Xue, B., Wang, B., Wu, B., Lu, C., Zhao, C., Deng, C., Zhang, C., Ruan, C., et al","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.173239Z"},"links":{"cited_paper":"/paper/1909.06146","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:2118ab9202dbd92baffefe5f20219494e212e804f208a4cb75391aac97a21b6b","observation_id":"fc901d36-d595-487a-82c2-cda7eab534a1","resolution":{"observed_at":"2026-08-07T12:05:35.173239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02707","last_updated":"2020-05-05T18:12:41Z","snapshot_observed_at":"2026-07-06T08:35:17.887292Z","submitted_at":"2019-11-07T01:40:39Z","title":"Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs","version":3},"cited_work":{"arxiv_id":"1911.02707","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.02707","snapshot_observed_at":"2026-08-07T12:05:36.582939Z","title":"Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs","venue":"cs.CL","work_id":"c0607314-2a09-4e08-a8d1-cfe575b77e5e","year":2019},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:36.052372Z"},"links":{"cited_paper":"/paper/1911.02707","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:71445b64d9758101538b957798659a37a27977a357268a5c622ef611a731dae5","observation_id":"0fa9833a-4ef5-43f2-849f-5e4535b8d879","resolution":{"observed_at":"2026-08-07T12:05:36.686179Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.03300","last_updated":"2021-01-12T18:57:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-09-07T17:59:25Z","title":"Measuring Massive Multitask Language Understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.03300","snapshot_observed_at":"2026-08-07T12:05:34.963790Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:34.963790Z"},"links":{"cited_paper":"/paper/2009.03300","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:170b5d74f07fa84bc1afe783ce14eca52c2cf0e49ce409c2405e896c318f2698","observation_id":"97755f8b-32c1-495a-9db1-8dac6c09bec4","resolution":{"observed_at":"2026-08-07T12:05:34.963790Z","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":"2026-08-07T12:05:34.781805Z","title":"org/pdf/2402.18060","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:34.781805Z"},"links":{"citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:70d5a8fec4e495acff7041f68d1a2496d237a74cc7606c24ab349365415c7f69","observation_id":"cef99a54-3a7d-41fa-a793-8c2fce74abd8","resolution":{"observed_at":"2026-08-07T12:05:34.781805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04802","last_updated":"2025-02-02T19:38:20Z","snapshot_observed_at":"2026-07-06T15:40:00.975837Z","submitted_at":"2023-06-07T21:51:56Z","title":"A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.04802","snapshot_observed_at":"2026-08-07T12:05:34.861786Z","title":"org/abs/2306.04802","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:34.861786Z"},"links":{"cited_paper":"/paper/2306.04802","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:a08ad7e53eb55b207922a16795c6eb275a2a6603dc8b6625b0e2d7d28a89f5b3","observation_id":"8c5a7c7b-c426-4731-9f8c-c96eb7359da7","resolution":{"observed_at":"2026-08-07T12:05:34.861786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T11:59:22.333859Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":3,"verified_fuzzy":2},"total_outbound_references":19},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.00612."}