{"as_of":"2026-08-10T17:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5f6324579fb99a66a9c57c406e7e85367de634c73db7e82c52b5c5faa4761e93","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:42:13.694341Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T08:52:23.330736Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T10:29:44.540672Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"cited_work":{"arxiv_id":"2507.04877","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.04877","snapshot_observed_at":"2026-07-04T10:29:44.540672Z","title":"Dopi: Doctor-like proactive interrogation llm for traditional chinese medicine.arXiv preprint arXiv:2507.04877, 2025","venue":null,"work_id":"16473cf0-c632-48a6-83c4-5a1b789dd4b6","year":2025},"citing_paper":{"arxiv_id":"2606.23254","last_updated":"2026-06-22T12:37:15Z","snapshot_observed_at":"2026-08-05T22:00:16.486446Z","submitted_at":"2026-06-22T12:37:15Z","title":"SteerVTE: Seamless Video Text Editing with Style and Glyph Control","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-26T08:52:23.330736Z"},"links":{"cited_paper":"/paper/2507.04877","citing_paper":"/paper/2606.23254"},"observation_digest":"sha256:6e1808c5ede658648fe9a706cef065787c9c3c12544b75e69d6d4ac821b47034","observation_id":"849f1ebf-63aa-41a4-8f95-888c08d12ac4","resolution":{"observed_at":"2026-07-04T10:29:44.542349Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.04877/citation-record","integrity":"/paper/2507.04877/integrity","json":"/paper/2507.04877/citation-record.json","paper":"/paper/2507.04877"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:42:13.634925Z","title":"Advances in neural information processing systems 33, 1877–1901 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.634925Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:311f08ffbab27345f6a990876790c70c02259f1128bbd0afa2ccb334ced0828d","observation_id":"884ea2ca-4e50-45dc-b6f3-8e2f0988cda2","resolution":{"observed_at":"2026-08-06T19:42:13.634925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-06T19:42:13.637775Z","title":"arXiv preprint arXiv:2302.13971 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.637775Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:0533a56dfaa84b5cd08bc1b93fe65a62b19fa348fe4ab3eddf27f4a7222c8c57","observation_id":"f35224f5-1d3b-4442-bcd5-0fa10687e068","resolution":{"observed_at":"2026-08-06T19:42:13.637775Z","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":"2026-08-06T19:42:13.939369Z","title":"Ieee Network 33(5), 156–165 (2019)","venue":null,"work_id":"430c0a75-dc88-4855-8ff5-90039db2ae1d","year":2019},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.640575Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:07d5f85e71520efb4e55d3f1173a10cb7873891c2c4fc87bc089d4777bc7d1d1","observation_id":"4dfc3e2c-b9ec-4e62-9dd8-492e80c35ebe","resolution":{"observed_at":"2026-08-06T19:42:13.941646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15075","last_updated":"2023-05-24T11:56:01Z","snapshot_observed_at":"2026-08-07T23:04:52.692705Z","submitted_at":"2023-05-24T11:56:01Z","title":"HuatuoGPT, towards Taming Language Model to Be a Doctor","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15075","snapshot_observed_at":"2026-08-06T19:42:13.643104Z","title":"arXiv preprint arXiv:2305.15075 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.643104Z"},"links":{"cited_paper":"/paper/2305.15075","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:b3e44a6e7687e5ffbe795feee7c1e82786949bc5d578dad09ed2bdfa1f3b9743","observation_id":"cafdc2d2-763a-4c02-8b40-d247280c691a","resolution":{"observed_at":"2026-08-06T19:42:13.643104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15896","last_updated":"2023-12-04T09:26:22Z","snapshot_observed_at":"2026-07-06T16:37:50.485332Z","submitted_at":"2023-10-24T14:57:34Z","title":"BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15896","snapshot_observed_at":"2026-08-06T19:42:13.645718Z","title":"arXiv preprint arXiv:2310.15896 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.645718Z"},"links":{"cited_paper":"/paper/2310.15896","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:a9b86958afc091114b2d1f9fedc516f4dc6a16cc02ec266424d0723e1fe50cfe","observation_id":"b475ed0b-78ed-4797-a915-c227648b426a","resolution":{"observed_at":"2026-08-06T19:42:13.645718Z","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":"2026-08-06T19:42:13.933219Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence, vol","venue":null,"work_id":"236e7006-631b-4e72-97f7-c0756adfa6aa","year":2024},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.648177Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:94ce7093090f9abb96f1a17b95645c25a1dc646f3d058bae9abb65a08a63e1a5","observation_id":"bbd46755-4fa9-45c0-9531-b45987c1d32a","resolution":{"observed_at":"2026-08-06T19:42:13.935342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01114","last_updated":"2023-09-03T08:08:15Z","snapshot_observed_at":"2026-08-07T23:02:34.745819Z","submitted_at":"2023-09-03T08:08:15Z","title":"MedChatZH: a Better Medical Adviser Learns from Better Instructions","version":1},"cited_work":{"arxiv_id":"2309.01114","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.01114","snapshot_observed_at":"2026-08-06T19:42:13.840333Z","title":"MedChatZH: a Better Medical Adviser Learns from Better Instructions","venue":"cs.CL","work_id":"6240b95b-cff2-4dfa-a10c-a207d128d8ac","year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.650757Z"},"links":{"cited_paper":"/paper/2309.01114","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:b2fa72b6e73316bf6518b6e58bbb485de34ab7073eefcac95e682f1e7a61df61","observation_id":"01401feb-b9a4-4204-9caf-6311217b54f5","resolution":{"observed_at":"2026-08-06T19:42:13.844557Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:42:13.926799Z","title":"GitHub (2023)","venue":null,"work_id":"0fdf81b3-c7bf-4fbf-8357-abb5e3442d87","year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.652898Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:a3c2039f397c65bfc07ad9879cd679818afe929ea6df4f4ae7602f766b98db62","observation_id":"56ba95be-5b37-4817-b26a-3ac07ffdc023","resolution":{"observed_at":"2026-08-06T19:42:13.928801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16056","last_updated":"2024-06-22T05:43:53Z","snapshot_observed_at":"2026-08-09T10:34:02.464254Z","submitted_at":"2024-03-24T07:48:05Z","title":"Qibo: A Large Language Model for Traditional Chinese Medicine","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.16056","snapshot_observed_at":"2026-08-06T19:42:13.654936Z","title":"arXiv preprint 16 arXiv:2403.16056 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.654936Z"},"links":{"cited_paper":"/paper/2403.16056","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:24e715dc78297d73b0df0b755f23131a7bf3ea2b41dd60e704f39579270a7885","observation_id":"f197697a-e4cf-4311-b616-36dee71ed310","resolution":{"observed_at":"2026-08-06T19:42:13.654936Z","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":"2026-08-06T19:42:13.920538Z","title":"Computer Methods and Programs in Biomedicine Update 6, 100158 (2024)","venue":null,"work_id":"e982d1d5-ca39-40d2-86f2-8b282f78f9b8","year":2024},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.657121Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:6e09ee9c2259591fdb4482be425e49fee12450ea9eee8e6d28f5f87fdd6da704","observation_id":"5e70818d-6981-4d13-94d9-233f6e7e8a8a","resolution":{"observed_at":"2026-08-06T19:42:13.922779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:42:13.914080Z","title":"Journal of Chinese Information Processing 33(10), 1–9 (2019)","venue":null,"work_id":"96a6a93a-0084-4558-a9c6-c2fb991afc2e","year":2019},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.658998Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:9572a489687e18c6792915381a267eff0b36616441473e9df55b8ab4a1e48a6d","observation_id":"698f89eb-2ef0-48a9-b033-d86d135d8815","resolution":{"observed_at":"2026-08-06T19:42:13.916346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:42:13.908015Z","title":null,"venue":null,"work_id":"0d8c5450-da03-4875-8d8c-83688f6a0afd","year":2025},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.661092Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:59b54fe1cc6f3e2f6cf17a2c487c43b05f65a125c325e56ae95d50fa3cc07947","observation_id":"b0b8271d-cbf7-4865-8b5f-444ddbacca36","resolution":{"observed_at":"2026-08-06T19:42:13.910129Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08177","last_updated":"2024-02-23T02:22:36Z","snapshot_observed_at":"2026-08-10T16:12:39.857703Z","submitted_at":"2023-04-17T11:39:53Z","title":"Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08177","snapshot_observed_at":"2026-08-06T19:42:13.662936Z","title":"arXiv preprint arXiv:2304.08177 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.662936Z"},"links":{"cited_paper":"/paper/2304.08177","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:22f177041046c52321e46ef67c127cd168755429f2c0927a9a76cbbc23590ee9","observation_id":"8449da99-4110-4fcc-b6dc-d44278bae3e6","resolution":{"observed_at":"2026-08-06T19:42:13.662936Z","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":"2026-08-06T19:42:13.665133Z","title":"arXiv preprint arXiv:2303.08774 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.665133Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:55eac390d60b18036d6cb9bed2a29ad69b11d3e8b58aea5af16eb5a3d574421d","observation_id":"98b05578-1ea6-4cb3-85f6-60add3e36a80","resolution":{"observed_at":"2026-08-06T19:42:13.665133Z","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":"2026-08-06T19:42:13.667131Z","title":"arXiv preprint arXiv:2409.18486 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.667131Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:9d7186f5ac52894f9834a29174adeb44efb80ca4a3aeb9d0df165288b9e9249a","observation_id":"793b43dd-dae2-44c7-a2eb-6284266bda46","resolution":{"observed_at":"2026-08-06T19:42:13.667131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-08-10T17:02:50.054809Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-06T19:42:13.668939Z","title":"arXiv preprint arXiv:2412.19437 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.668939Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:d8626497e895a8bcaae37445bc9a81a53e60a693d4ab355617fd9eac6e669258","observation_id":"77ef8f17-89f7-45c4-bff7-306027e55cae","resolution":{"observed_at":"2026-08-06T19:42:13.668939Z","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":"2026-08-06T19:42:13.901420Z","title":null,"venue":null,"work_id":"01e31745-ee98-4d06-941d-cc4c36817eab","year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.671033Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:0bd3744237f131641623973937f53c3d59cba6048b4bbb1e9a73bb7ebca4fcfd","observation_id":"e3d1d0ee-23a2-4fa8-bfd6-9df0d3b35760","resolution":{"observed_at":"2026-08-06T19:42:13.903839Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15020","last_updated":"2023-07-27T17:24:09Z","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:24:09Z","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15020","snapshot_observed_at":"2026-08-06T19:42:13.672819Z","title":"arXiv preprint arXiv:2307.15020 7, 3 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.672819Z"},"links":{"cited_paper":"/paper/2307.15020","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:2e07d935486ef782b6a7766dfd8110e663be2efb579b2487b415fc0a38059a02","observation_id":"a374978f-5a0f-4b02-b3f6-832041adb1c6","resolution":{"observed_at":"2026-08-06T19:42:13.672819Z","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":"2026-08-06T19:42:13.894631Z","title":"Computers in biology and medicine 172, 108290 (2024)","venue":null,"work_id":"1a44c769-608d-462c-91d3-c20c12ad0fae","year":2024},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.674756Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:b8a83825ce45da69eb116ca7a84e3b67bc21d3c9d93b322bb7505dce85ca8730","observation_id":"0979254d-f44f-4862-916c-33736117267d","resolution":{"observed_at":"2026-08-06T19:42:13.896822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:42:13.887988Z","title":"Journal of the American Medical Informatics Association 31(9), 2019–2029 (2024)","venue":null,"work_id":"da133ea2-98e2-4bce-8c97-57238a777e36","year":2024},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.676754Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:27046eab732a78430be3e5547e81cfade63013808ad15485e07c49da862bc93d","observation_id":"3b783e54-aa78-4b4a-9d48-0d68789845a9","resolution":{"observed_at":"2026-08-06T19:42:13.890358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:42:13.881120Z","title":"Journal of Evidence-Based Medicine 18(1), 12658 (2025)","venue":null,"work_id":"07934bb6-5e76-4f07-a6fd-1144a6a0e96b","year":2025},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.679165Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:98b6463615c3679d342569e3c9a7dd275decca1dbb54143047bf8cbdaf45e2d0","observation_id":"c09045b1-f71d-41e7-bbd6-cd69956be85a","resolution":{"observed_at":"2026-08-06T19:42:13.883351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08247","last_updated":"2025-03-18T21:31:51Z","snapshot_observed_at":"2026-08-07T23:01:40.564640Z","submitted_at":"2023-04-14T11:28:08Z","title":"MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08247","snapshot_observed_at":"2026-08-06T19:42:13.681185Z","title":"arXiv preprint arXiv:2304.08247 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.681185Z"},"links":{"cited_paper":"/paper/2304.08247","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:62240eb5190fa49afc1deec91b56fca17823949dd31bf42c4f05ed8f9899bb09","observation_id":"40ca1d8a-cb81-4aaa-b1c4-a293d38ffa68","resolution":{"observed_at":"2026-08-06T19:42:13.681185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.14070","last_updated":"2023-06-24T15:26:44Z","snapshot_observed_at":"2026-07-06T15:07:41.634914Z","submitted_at":"2023-03-24T15:29:16Z","title":"ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.14070","snapshot_observed_at":"2026-08-06T19:42:13.683249Z","title":"https://arxiv.org/abs/2303.14070","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.683249Z"},"links":{"cited_paper":"/paper/2303.14070","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:fb9923c8e51a7d1d331d99a92847102718c2b532c87260c5ecdce20600a91244","observation_id":"44bf95fa-131f-4db4-a612-83188df5d8ef","resolution":{"observed_at":"2026-08-06T19:42:13.683249Z","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":"2026-08-06T19:42:13.874835Z","title":"Nature Medicine, 1–8 (2025)","venue":null,"work_id":"eb3d3cbf-0962-414f-b6ed-dc9dbd740148","year":2025},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.685417Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:7fd25ed3b537740ff3ed3c9bb5f7f175a6c33c76555a695036e8256493381a25","observation_id":"e2c70908-1804-4ec9-bdfc-cafc3806474a","resolution":{"observed_at":"2026-08-06T19:42:13.877008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-07T07:43:16.294957Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-06T19:42:13.687316Z","title":"arXiv preprint arXiv:2106.09685 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.687316Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:d236583cf0932114ee23ae19a0b1147b9bcd15ecff3a458708b36bec5049904e","observation_id":"0303b2e9-4db7-4cb3-906d-9d3db3a922b2","resolution":{"observed_at":"2026-08-06T19:42:13.687316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-07-06T05:10:16.862707Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-06T19:42:13.689241Z","title":"https://arxiv.org/abs/1609.02907","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.689241Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:466594a492167a82f7c8388c4ede1815aef5aae49e13ae9a6c199b3a996a6cbd","observation_id":"e453a839-f2ef-47f4-86c6-176b4a92ed67","resolution":{"observed_at":"2026-08-06T19:42:13.689241Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-06T19:42:13.691813Z","title":"https://arxiv.org/abs/2412.15115","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.691813Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:077242c5ede6ea84a5bb420cf5e57fd6a15b0a56b7692a6423543108d3395227","observation_id":"275e4c95-60b2-4218-981b-3b23b35b6a93","resolution":{"observed_at":"2026-08-06T19:42:13.691813Z","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":"2026-08-06T19:42:13.868174Z","title":"In: Proceedings of the 37th International Con- ference on Neural Information Processing Systems","venue":null,"work_id":"37117b7f-fb03-4410-92cf-c1e4d594568c","year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.694341Z"},"links":{"citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:c0c8f272e03c4145594ae949f1ed09ec76df45121f5161f06baec98d6d7a3099","observation_id":"e1f64ef0-115e-470b-8c21-08ce187e2f4c","resolution":{"observed_at":"2026-08-06T19:42:13.870524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-10T06:32:01.250689Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":17,"verified_exact":0,"verified_fuzzy":10},"total_outbound_references":28},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2507.04877."}