{"as_of":"2026-08-12T06:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4e8c820a39ec1287835bd4a7e63702e06161e00b8fcd91c903fbbbb8608f8a27","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T16:13:32.785392Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2501.13984/citation-record","integrity":"/paper/2501.13984/integrity","json":"/paper/2501.13984/citation-record.json","paper":"/paper/2501.13984"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:13:35.505407Z","title":"Treatment by cancer type,","venue":null,"work_id":"dff71a21-d6f8-46bb-ae28-30c80593d5ae","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.456125Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:b4f27bc6ba95c619277ca7618382eccf036da1c93f2e43ae27157736d1e75e3e","observation_id":"2b65fcbc-7d00-4cc7-980b-25e79d5933ce","resolution":{"observed_at":"2026-08-10T16:13:35.594402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:35.490691Z","title":"Guidelines, tools, & resources,","venue":null,"work_id":"f4bde7df-0a4f-4aa3-8c2e-a5ef5570cee0","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.511671Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:a83da802f070534e965d3fc12c8d85c3200d07a557736d5d23a9050f478fb69b","observation_id":"c9b7b35e-a2ec-4c92-83d6-4bff49e1360a","resolution":{"observed_at":"2026-08-10T16:13:35.495729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:35.476176Z","title":"4, 2024)","venue":null,"work_id":"7defa412-e4ae-4d73-a9dc-5d1747c3a8b2","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.582671Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:036c0fa62be8e2628d12c1459be84c7f75c67eb1d57a9eea1f32034e0334bca6","observation_id":"041f409a-28f9-4863-a7ba-904e9d96169c","resolution":{"observed_at":"2026-08-10T16:13:35.480883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.05489","last_updated":"2020-12-10T07:23:02Z","snapshot_observed_at":"2026-08-11T17:44:26.666526Z","submitted_at":"2020-12-10T07:23:02Z","title":"AI Driven Knowledge Extraction from Clinical Practice Guidelines: Turning Research into Practice","version":1},"cited_work":{"arxiv_id":"2012.05489","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.05489","snapshot_observed_at":"2026-08-10T16:13:33.712981Z","title":"AI Driven Knowledge Extraction from Clinical Practice Guidelines: Turning Research into Practice","venue":"cs.AI","work_id":"0d861d4e-aea6-4d65-aa98-a18d34541745","year":2020},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.590009Z"},"links":{"cited_paper":"/paper/2012.05489","citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:b46022c1047ee81ab5adb9e624a5d4b8214a5faa802893323aafd9e5b2c326ff","observation_id":"6dc74e4d-de9e-4342-a807-2cabd095a37f","resolution":{"observed_at":"2026-08-10T16:13:33.768803Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:35.448307Z","title":"Comprehensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines,","venue":null,"work_id":"77b43373-fe2f-4c7d-952f-40400f1f7eac","year":2020},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.596465Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:40f8ce4a39e5c1aac2e40a1b87eaf6f24d62dc8b44ef3983949941e5c11218a0","observation_id":"524c4b07-37cd-4bf1-a49a-3d8a1dd551ba","resolution":{"observed_at":"2026-08-10T16:13:35.466182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/1265377","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:13:33.604042Z","title":"GDSI: a Web-based decision support system to facilitate the efficient and effective use of clinical practice guidelines,","venue":null,"work_id":"769dfe3d-c0c2-40ad-91a0-df6a803db90a","year":2004},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.601814Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:318f33cb2675ae817242d7d1fa0732b52017c38a5f11a5252ea0d178acca192a","observation_id":"da3d0075-7512-47d6-86ee-db9e0132bdcb","resolution":{"observed_at":"2026-08-10T16:13:33.622651Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:35.276798Z","title":"A knowledge-based approach to assign breast cancer treatments in oncology units,","venue":null,"work_id":"92795d5a-5062-4ef0-af40-42e98552f5b1","year":2006},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.607666Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:deeec1b23d7e19b20490d5434da994f5b46f6c03f320e2ca9b9d43c43c81b57f","observation_id":"5c1ce8aa-2c20-4788-ac86-bd05881b2321","resolution":{"observed_at":"2026-08-10T16:13:35.355344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4311.34243","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:13:33.383319Z","title":"Design and Implementation of Medical Process Visualization CDSS Oriented to NCCN Guidelines,","venue":null,"work_id":"4c9871a1-c608-49fc-8ec0-dcd4354ed101","year":2020},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.612721Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:ecab2d0c9fd1c7bef1abb2092ef762ab51a035dd4b210268221f10e73c16bb1c","observation_id":"af5d286c-0146-4f9d-aa88-5f908a2ef9d8","resolution":{"observed_at":"2026-08-10T16:13:33.495634Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:35.259045Z","title":"Translating an evidence-based clinical pathway into shareable CDS: developing a systematic process using publicly available tools,","venue":null,"work_id":"3b5e73e7-f831-4598-b532-2a29a6e06c39","year":2021},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.618012Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:629d79c1900c414a3288e2dfd2c9194dbbb22b11700e913928717ecf7719dd25","observation_id":"406552af-2bfd-41cb-9cea-90c13efee48d","resolution":{"observed_at":"2026-08-10T16:13:35.264571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:35.216354Z","title":"Ontology Based Modeling and Execution of Nursing Care Plans and Practice Guidelines,","venue":null,"work_id":"806a9bcc-17ea-439f-8c8e-020e596dab1c","year":2010},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.622647Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:5503868af6a501c2cc7ad84a5fe65763aa7ec07e798ccd3d11dc112db5f49b6b","observation_id":"f1a9baab-974e-4e7a-97a8-c58220f79c92","resolution":{"observed_at":"2026-08-10T16:13:35.236844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:35.202045Z","title":"An overview of clinical decision support systems: benefits, risks, and strategies for success,","venue":null,"work_id":"511d1060-09a6-4e8a-85e2-fa267acd087d","year":2020},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.628066Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:89f16c562edca8a402498ebc70a6db7d44bd9de8e16cc0441dde48476b2b116d","observation_id":"059ca03b-ceda-4a41-a719-1d52e9c244cd","resolution":{"observed_at":"2026-08-10T16:13:35.206770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:35.098636Z","title":"Some Unintended Consequences of Clinical Decision Support Systems,","venue":null,"work_id":"6e81457e-18e1-41b9-a18d-5b234c00bc1b","year":2007},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.635257Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:447513c63f69ea807eb79edad0f06c5e8cabb9a05a4f936957acfbc4fb337b60","observation_id":"2406ff3b-ace2-4418-9610-3eb2a17b7503","resolution":{"observed_at":"2026-08-10T16:13:35.167939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:35.064817Z","title":"Rule-based clinical decision support system using the openehr standard,","venue":null,"work_id":"afcd1ef3-d0fc-4a5a-81f1-d810f652ba80","year":2022},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.643225Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:4eecbb058be2d1a46e0dd4bde9287cdf87720ab70112835099ea5f9ddd07235c","observation_id":"3e96d154-fe4c-4a0a-85ad-81a0288acf01","resolution":{"observed_at":"2026-08-10T16:13:35.069756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/1034103","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:13:33.260154Z","title":"Automated Knowledge Modeling for Cancer Clinical Practice Guidelines,","venue":null,"work_id":"4cae11bf-a162-46b3-be4e-9700ab73b847","year":2023},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.647716Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:1cc16aebe9283f8b598ef5d9172bae3a3551d0ebd8d6a118c5083049fb3ff7f0","observation_id":"06f0c578-868a-4b0f-9626-5b8bf1b8e524","resolution":{"observed_at":"2026-08-10T16:13:33.309853Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02984","last_updated":"2023-08-06T01:38:40Z","snapshot_observed_at":"2026-08-12T02:01:31.330947Z","submitted_at":"2023-08-06T01:38:40Z","title":"Decision Knowledge Graphs: Construction of and Usage in Question Answering for Clinical Practice Guidelines","version":1},"cited_work":{"arxiv_id":"2308.02984","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.02984","snapshot_observed_at":"2026-08-10T16:13:33.156304Z","title":"Decision Knowledge Graphs: Construction of and Usage in Question Answering for Clinical Practice Guidelines","venue":"cs.IR","work_id":"5ca94cb7-f76c-48d6-a3ee-584dcbef7b2f","year":2023},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.652057Z"},"links":{"cited_paper":"/paper/2308.02984","citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:e54eb956efc6347ae0977fc5a157e48289921617fa4fae4a8fbd8229b0236060","observation_id":"9631707b-7d7e-4bb5-be12-e937a6ff2538","resolution":{"observed_at":"2026-08-10T16:13:33.166476Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04802","last_updated":"2025-02-02T19:38:20Z","snapshot_observed_at":"2026-08-10T07:04:18.502399Z","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":"2026-08-10T16:13:31.657003Z","title":"A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.657003Z"},"links":{"cited_paper":"/paper/2306.04802","citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:fccff466decd52e9d9d221dcd4c8a15feb798fd8e382cf7a8533a6030653ea02","observation_id":"22260f98-849c-4cff-ab09-c22a2f9efe33","resolution":{"observed_at":"2026-08-10T16:13:31.657003Z","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":"2026-08-10T16:13:35.047774Z","title":"GPT-3.5, GPT-4, or BARD? Evaluating LLMs reasoning ability in zero-shot setting and performance boosting through prompts,","venue":null,"work_id":"d5cfe0bd-f330-4a7f-90d6-d116ca554562","year":2023},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.661694Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:7b84005b706281015a5d1a9e9e9967e7847d4a144cf6ea8a1354d6b38c005074","observation_id":"c85026b2-1ff4-4331-9c26-d6b1d6c2aaa6","resolution":{"observed_at":"2026-08-10T16:13:35.052933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.986077Z","title":"Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies,","venue":null,"work_id":"25d5438e-b362-4a90-b082-0d355e8f7fcc","year":2023},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.706942Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:f3f8fc235687f24a943c5034b7aa1953c4477aa6d16517b4c1789c18598d13b8","observation_id":"3fc4e97b-f7e2-4051-99a7-39c792631070","resolution":{"observed_at":"2026-08-10T16:13:35.021502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:31.805362Z","title":"LLM Based Generation of Item-Description for Recommendation System,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.805362Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:ee95cd90e420784419ce632e14a0a06b9c6d89a80376a1881569819fee4fa8a4","observation_id":"8cc0f9aa-4c05-4d57-9679-658e36069421","resolution":{"observed_at":"2026-08-10T16:13:31.805362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-10T16:13:31.871508Z","title":"A Survey of Large Language Models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.871508Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:a2ffe4d0119abe291064ed396d2b85679661e8af66f3260bc602a57ea8961d56","observation_id":"c62a02ee-53b7-474e-a50e-60f9f76cd0fa","resolution":{"observed_at":"2026-08-10T16:13:31.871508Z","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":"2026-08-10T16:13:34.904162Z","title":"Open-Source Large Language Models Outperform Crowd Workers and Approach ChatGPT in Text- Annotation Tasks,","venue":null,"work_id":"c40e4530-9091-4e2a-862e-a4bf2db68f1c","year":2023},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.879867Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:34308293c3492beae990c86408d84087ccbdfeb59223649c02d061ed84ebff7c","observation_id":"5cabd35b-fe43-44f6-a8a9-e217ae667586","resolution":{"observed_at":"2026-08-10T16:13:34.946884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02179","last_updated":"2024-05-29T12:29:08Z","snapshot_observed_at":"2026-08-08T10:16:09.590390Z","submitted_at":"2023-07-05T10:15:07Z","title":"Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02179","snapshot_observed_at":"2026-08-10T16:13:31.884659Z","title":"Available: https://arxiv.org/abs/2307.02179","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.884659Z"},"links":{"cited_paper":"/paper/2307.02179","citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:18583799fa9567ac801f2e2b05c6d01d18b7eaf761bc44dee7276a282d395247","observation_id":"29252ca1-e8a3-451b-b0ad-34a46d007d2a","resolution":{"observed_at":"2026-08-10T16:13:31.884659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13446","last_updated":"2024-12-02T20:55:15Z","snapshot_observed_at":"2026-08-10T18:54:22.974622Z","submitted_at":"2024-02-21T00:44:04Z","title":"Large Language Models for Data Annotation and Synthesis: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13446","snapshot_observed_at":"2026-08-10T16:13:31.892656Z","title":"Large language models for data annotation: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.892656Z"},"links":{"cited_paper":"/paper/2402.13446","citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:8b4a05b9014ec64c77f4861ffb8a5bcd5be4f86056f45399f540b3d0f04b26ab","observation_id":"a55d4c35-a71a-4b77-94dc-8cdfe5216306","resolution":{"observed_at":"2026-08-10T16:13:31.892656Z","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":"2026-08-10T16:13:34.864104Z","title":"Multi-perspective improvement of knowledge graph completion with large language models,","venue":null,"work_id":"1b709c69-798a-431c-b30e-b8bd33fbf254","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.966445Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:31892f26e1fe77b64cf29197321ecc64ed1e086ea683498c076f8ca4456809ed","observation_id":"e30d3156-ff66-4194-b821-9b05552d20da","resolution":{"observed_at":"2026-08-10T16:13:34.869063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-10T16:13:31.971205Z","title":"Language models are few- shot learners,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.971205Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:d18cee04e5fa08edfc7a116c890c87c4bf52d4d6bfbf54b39d9287c97a6359a6","observation_id":"a8e08736-c50f-44c0-b152-6e4ce6eeee52","resolution":{"observed_at":"2026-08-10T16:13:31.971205Z","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":"2026-08-10T16:13:34.849439Z","title":"Few- shot adaptation works with UnpredicTable data,","venue":null,"work_id":"93e81df4-f170-4534-b267-b877fbed2159","year":2023},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.976967Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:5064a7ded72efa3d5d0c1ccc4a081a88d33c665688eaf4f370db0c1d80ce6339","observation_id":"7f8bddfe-e430-458a-af77-e79bdea510c7","resolution":{"observed_at":"2026-08-10T16:13:34.853924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s12911-024-02459-6","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:13:32.831290Z","title":"Assessing the research landscape and clinical utility of large language models: a scoping review,","venue":null,"work_id":"748b6086-a001-46f0-a056-75b5279ddce0","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.982709Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:95be3900183448a71a83971eee6ec0fdae9f63a06e7da6d710e70e92271fce44","observation_id":"6e8f1e76-b878-4af1-84f0-35d7efa3b435","resolution":{"observed_at":"2026-08-10T16:13:32.888606Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.834410Z","title":"Uncertainty-Aware Text- to-Program for Question Answering on Structured Electronic Health Records,","venue":null,"work_id":"bdbedc6b-2d5f-4e4f-843d-61ad2c7efe4d","year":2022},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:31.988056Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:628d2371ccd4007d30b0897fb63f967e570b7e63df5f857ccca7c1c2dafeeb72","observation_id":"1348412f-2848-4bce-a270-9b67356c70a7","resolution":{"observed_at":"2026-08-10T16:13:34.839167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.819147Z","title":"Guidelines detail - non-small cell lung cancer,","venue":null,"work_id":"eedfae35-ee74-4973-94ca-bb22e3133efa","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.085010Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:f7c59a59c8463b11335fc7fa037e96aaae54eaad73689232cec6acceca01f4d3","observation_id":"962f8e48-707e-4623-9079-822b4293d900","resolution":{"observed_at":"2026-08-10T16:13:34.823700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.804117Z","title":"Snomed ct,","venue":null,"work_id":"a27f1fdd-2661-4eb7-9c54-3cbd6d7ff664","year":2016},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.148519Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:7ab45b9b5d45f77e5d8f1576912bca3802247a0bf2465505b879c2b719308735","observation_id":"9f1cecc5-7d57-4599-b520-ae9a981d26e0","resolution":{"observed_at":"2026-08-10T16:13:34.808862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.770206Z","title":"NCI thesaurus,","venue":null,"work_id":"b250ae0f-18c5-4064-9574-627f42ee7e82","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.155472Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:7de23d0203bf1113ac2a5414a8030d88348e45eb43f1ec6b533cbd3dbec14b3f","observation_id":"0efa0b82-1033-4269-84b5-fc1f17cfca14","resolution":{"observed_at":"2026-08-10T16:13:34.792835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.697775Z","title":"MeSH - NCBI,","venue":null,"work_id":"fa97c1da-d015-4298-b46a-32b618ddf47f","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.160654Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:f7cc8dc18677bc21c373682b29b3daed25503a49a8269fcf57fe1b8e130ac6ce","observation_id":"4bca7847-6b94-4776-8145-2bfda33697d1","resolution":{"observed_at":"2026-08-10T16:13:34.702014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.591680Z","title":"The unified medical language system (umls): integrating biomedical terminology,","venue":null,"work_id":"135b0afd-104a-4e43-85d0-3f292cf7d213","year":2004},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.165209Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:16229a567305ddda43556d6ea6325ce20c310faa9f9ee0380579d90e40759b2e","observation_id":"b050cff3-fc7d-4fa4-9f43-530f50e181e2","resolution":{"observed_at":"2026-08-10T16:13:34.638377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.506831Z","title":"Classification, Ontology, and Precision Medicine,","venue":null,"work_id":"72c0e814-7757-4cec-90ad-4945e13d87fb","year":2018},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.204382Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:95fb0c071068348d8a1ea8a9579f0e3d5f778c5e9bb7a66542056410623890c4","observation_id":"48e50d47-b453-4ada-813d-6e1f2c6ccb24","resolution":{"observed_at":"2026-08-10T16:13:34.513258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.489800Z","title":"Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services,","venue":null,"work_id":"5ff99faf-c005-47c5-a580-474c3930a570","year":2017},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.224821Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:2d80a472bc09e819aa0482e1eeaac21d69e74679e8702636ecd8b9da60b12dbe","observation_id":"713d6a48-c0d7-4403-b03d-214d910bbd20","resolution":{"observed_at":"2026-08-10T16:13:34.495747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.441312Z","title":"Developing an Ontology for Encoding Disease Treatment Information in Medical Abstracts,","venue":null,"work_id":"8ea356df-b643-49b8-b1a8-8c7f3c8d46a6","year":2011},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.236882Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:917811dc05a9476d9d1a6aab9c5ed2cf1e6a7952f7c17b94153757e0a389df43","observation_id":"9b834ba5-26a5-4218-81b4-b05b20028253","resolution":{"observed_at":"2026-08-10T16:13:34.470120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.327400Z","title":"Modeling of Clinical Practice Guidelines for an Interactive Decision Support Using Ontologies,","venue":null,"work_id":"7302669d-d221-4efb-96b5-e5127aac85e5","year":2018},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.314489Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:ed9d9656c617b2a55b1befc7b3b0e5e472e31b63d9b1c3c4a9f20a0760d223d1","observation_id":"5e4aa2a8-8c21-4992-98b0-e8060e7a5908","resolution":{"observed_at":"2026-08-10T16:13:34.391422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.309235Z","title":"Hl7 fhir: An agile and restful approach to healthcare information exchange,","venue":null,"work_id":"5e9d0edc-2e71-4f73-9f6d-c9aaa69f2687","year":2013},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.427697Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:d3d89b96f3e9a0e4458d624b374c478e20ab4848e40ca483e705c8966c836340","observation_id":"2aa9b707-18d9-485c-8444-2149d0690a50","resolution":{"observed_at":"2026-08-10T16:13:34.315705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.290396Z","title":"Neo4j cypher® manual,","venue":null,"work_id":"51765856-2830-4439-a3b4-7116dcc8aa3d","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.442975Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:46ca5208f96996e6e9afc34f6a1ce4719d742991571aa59e574230158ca2e0b5","observation_id":"27625e2a-a65a-41a7-837e-f71d97efa80f","resolution":{"observed_at":"2026-08-10T16:13:34.296998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.154219Z","title":"Query a neo4j database using cypher,","venue":null,"work_id":"867a3b29-f6b4-42c1-b8e8-1b49ae94842f","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.448975Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:a14ebe8c90dcd491a7a25121ada542b227432b644f002f65d1c2492f59fe668e","observation_id":"c79ab4b2-3d54-4269-8da7-88fd4a046466","resolution":{"observed_at":"2026-08-10T16:13:34.216548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.030095Z","title":"ChatGPT - open a I gpt 3.5,","venue":null,"work_id":"db92dff6-2f6d-4672-9d9d-d051e20f0a70","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.544150Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:6b9d3359dccdd311099dc9426275d963e6edf18590aef8acb5ef324c61958761","observation_id":"9d72cdd9-824a-4bdb-8b16-feec4dec8d07","resolution":{"observed_at":"2026-08-10T16:13:34.086748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:34.014041Z","title":"Neo4j graph database & analytics,","venue":null,"work_id":"8bc2834b-93fa-4396-b056-c872b215be13","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.630248Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:a4692b668de1442a59ce0e61fdc9e92554f9154cc5c079dc28b606e79fadea40","observation_id":"a5744f0e-637f-4b52-8e6e-fb51cd93da90","resolution":{"observed_at":"2026-08-10T16:13:34.019366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:33.964171Z","title":"Text2Cypher - natural language queries,","venue":null,"work_id":"b72f0801-5f18-47c1-8d79-24b126872ade","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.651182Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:266324b835e60bb329558c2260f4124a4f9f64f3079197907bedee31e119173a","observation_id":"e874f224-f763-42a0-ab14-893c7948ccef","resolution":{"observed_at":"2026-08-10T16:13:34.003703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:33.868702Z","title":"NeoDash - Dashboard Builder for Neo4j,","venue":null,"work_id":"ba7c5085-e7ad-4977-a8d1-afb69b1d603f","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.694736Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:c0c21a42372b02b0f65a17b6492e9eea71e25c07b346231b70bf604a5ea14626","observation_id":"f515e5c2-d4d0-4e73-bde0-109fd1ec6a64","resolution":{"observed_at":"2026-08-10T16:13:33.914224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:13:33.802105Z","title":"FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering,","venue":null,"work_id":"2df04865-a37d-47e0-8a30-c091f5666b34","year":2024},"citing_paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T16:13:32.785392Z"},"links":{"citing_paper":"/paper/2501.13984"},"observation_digest":"sha256:10163fbd1cbbb036dcd6a182ef0818f65a07696e4c5144aebfa34d8d400c7391","observation_id":"0cbab516-0442-4aed-a236-b7b180dec915","resolution":{"observed_at":"2026-08-10T16:13:33.808855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.13984","last_updated":"2025-01-23T07:06:26Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-11T15:08:09.103391Z","submitted_at":"2025-01-23T07:06:26Z","title":"Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":6,"verified_exact":5,"verified_fuzzy":33},"total_outbound_references":45},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2501.13984."}