{"as_of":"2026-08-19T08:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dc088f217ed01f7437c52571849cca837cc4ae8aab760a987185ca7407f9b3e5","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:28:06.261963Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-13T05:48:44.584051Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-13T05:52:22.583132Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"cited_work":{"arxiv_id":"2504.20609","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.20609","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"WenyanGPT: A large language model for classical chinese tasks","venue":null,"work_id":"abe629cc-fc4d-4fc4-b67f-f4fdf40a0a82","year":2025},"citing_paper":{"arxiv_id":"2605.11960","last_updated":"2026-05-12T11:14:25Z","snapshot_observed_at":"2026-08-10T12:54:16.722893Z","submitted_at":"2026-05-12T11:14:25Z","title":"Chronicles-OCR: A Cross-Temporal Perception Benchmark for the Evolutionary Trajectory of Chinese Characters","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-13T05:48:44.584051Z"},"links":{"cited_paper":"/paper/2504.20609","citing_paper":"/paper/2605.11960"},"observation_digest":"sha256:009d4a3c26ba9d03680d5214804d7ec759f9079d4abb2a9682c4d4895ebbe938","observation_id":"26ac9832-6a17-415a-8101-a6478bfc8d29","resolution":{"observed_at":"2026-05-13T05:52:22.584740Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.20609/citation-record","integrity":"/paper/2504.20609/integrity","json":"/paper/2504.20609/citation-record.json","paper":"/paper/2504.20609"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.050470Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.050470Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:3b614737fc9364f62796e22e6e54d1e7109bea49c7fd6409834dec1e95f469f5","observation_id":"5e3a7919-1de8-462a-9f58-c6fc666213fc","resolution":{"observed_at":"2026-08-16T05:28:06.050470Z","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":"2026-08-16T05:28:06.055152Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.055152Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:dbce8736d80ca10fece53477419c3b68d9a83e8bbd88b23bd346e46e72cbe252","observation_id":"4e1258a1-3a8a-478b-9427-e97583bb33ad","resolution":{"observed_at":"2026-08-16T05:28:06.055152Z","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":"2026-08-17T09:58:46.058102Z","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":"2026-08-16T05:28:06.060331Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.060331Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:a5ba410cab7651dffb996e9c8b7eb56055cda8f327248929124806a8cbc799c3","observation_id":"21ff88e1-a779-4c1a-a2f1-aa4d7fa0577b","resolution":{"observed_at":"2026-08-16T05:28:06.060331Z","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":"2026-08-16T05:28:06.954920Z","title":null,"venue":null,"work_id":"aca2faec-c989-4b1e-8945-b45ef2ed7849","year":2020},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.064824Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:a234f8ac704f6c62b14400844dc4bddf355aab0a2ecfb4a6ec5a5400bd4e57a8","observation_id":"1b808c54-363d-40f3-9591-0e812c9d0539","resolution":{"observed_at":"2026-08-16T05:28:06.959338Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.941461Z","title":null,"venue":null,"work_id":"367ff528-0e24-42a6-b076-5e6ab6432118","year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.069139Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:f0359275b93181f0402591db43ba81f4475c86a540d2ef4701a2cdf41cbe2a8d","observation_id":"77d6e44a-6224-4358-8a1f-e8e6853a8371","resolution":{"observed_at":"2026-08-16T05:28:06.945676Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.928342Z","title":null,"venue":null,"work_id":"4f295ef9-6171-4088-b424-0dadc6b7e9d6","year":2024},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.073470Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:68030bc4cd9627d0032de0a93264fc76d6d0de5f06b4b3df1e8618bc99985513","observation_id":"c2ab4d85-3efe-4a41-91f2-2f543e4e81f2","resolution":{"observed_at":"2026-08-16T05:28:06.932582Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.914871Z","title":null,"venue":null,"work_id":"8803d072-b7ce-4515-87c2-4d16af9967b6","year":2024},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.078044Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:a1906932dcae402176a8029493f618e1ffa253d7aedee6ee1e553bba5577f48a","observation_id":"d29ec1e5-5b4c-46ea-900b-32e82e0fc03e","resolution":{"observed_at":"2026-08-16T05:28:06.919036Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.901520Z","title":null,"venue":null,"work_id":"14795cd3-ae71-4bcb-904e-7941131cf0d1","year":2020},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.082130Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:83f86af6dca9227ba17877a2fed10128d1c9e2618dd0950f4f3fe662e43c14c3","observation_id":"a677cb50-38e0-406f-8e8b-7754329a3aec","resolution":{"observed_at":"2026-08-16T05:28:06.905819Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.888219Z","title":null,"venue":null,"work_id":"48b7e62a-e97f-46c6-a146-c2050e1baa6a","year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.086664Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:c879b6c1ae3e7bfb545d54e1d9fddd485d27ffcf138d7a291889c2847c4d9a9b","observation_id":"64ff259b-c774-4552-977d-4deb96d5a77e","resolution":{"observed_at":"2026-08-16T05:28:06.892488Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.873884Z","title":null,"venue":null,"work_id":"56049618-c473-40e2-9f1a-3326f1b05afb","year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.090757Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:bc345caebc0dedce26538f41b45ee6252d96ce4b994d6b17c1222844f6617f40","observation_id":"bebe1025-6e4b-41cb-ad80-6cead8d2fdf1","resolution":{"observed_at":"2026-08-16T05:28:06.878557Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02773","last_updated":"2023-08-05T02:55:35Z","snapshot_observed_at":"2026-08-16T15:10:39.123334Z","submitted_at":"2023-08-05T02:55:35Z","title":"EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.02773","snapshot_observed_at":"2026-08-16T05:28:06.094776Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.094776Z"},"links":{"cited_paper":"/paper/2308.02773","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:6ee32c3785a4662f833befb7c34909f37f8203805a55f8614313cec01499c898","observation_id":"4b07fb2f-3c9c-4bd9-8fae-3da9957b6efc","resolution":{"observed_at":"2026-08-16T05:28:06.094776Z","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":"2026-08-18T18:18:37.449517Z","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":"2026-08-16T05:28:06.099139Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.099139Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:e2715f90265b5c99270d566fe9f95cfee7082ef64b7ff34090f0bf300ae9d9f6","observation_id":"9a633330-8af3-47dd-8379-19f63234d3d9","resolution":{"observed_at":"2026-08-16T05:28:06.099139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-16T05:28:06.103830Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.103830Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:558b1c559225930f0c825b33662d7543fb5f7cc39d63c1ed8f03bac5cbe7ab22","observation_id":"78702262-ed91-4f37-b32e-0e6bb0fd2f2c","resolution":{"observed_at":"2026-08-16T05:28:06.103830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.04014","last_updated":"2023-09-06T23:13:07Z","snapshot_observed_at":"2026-08-18T13:13:10.840816Z","submitted_at":"2023-08-08T03:18:18Z","title":"Continual Pre-Training of Large Language Models: How to (re)warm your model?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.04014","snapshot_observed_at":"2026-08-16T05:28:06.108062Z","title":"Richter, Quentin G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.108062Z"},"links":{"cited_paper":"/paper/2308.04014","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:652c84dc1031a60098157c171e40f27fbaf2b1df083a984e70c74dc38749b1a9","observation_id":"de5b615b-9b21-455f-b664-3f61993c92e3","resolution":{"observed_at":"2026-08-16T05:28:06.108062Z","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":"2026-08-16T05:28:06.859704Z","title":null,"venue":null,"work_id":"a0baf554-deca-4113-8eee-e0784aebd4bd","year":2020},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.112681Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:26db4108d0463fd27bd252bd40452fce68cff3e0a06c5abf9ecbcf235b51cf94","observation_id":"2e3918fe-9c41-42bd-ba74-6e3aaf9bc406","resolution":{"observed_at":"2026-08-16T05:28:06.863999Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.845432Z","title":null,"venue":null,"work_id":"800864f1-f53e-494a-9f14-aa0b41af45e2","year":2010},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.116616Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:8c9c1714389eaeb03661133755dfa4e0ad3e652966e139735d8e8d2ba1dfc996","observation_id":"d2d5353e-a315-4a64-a108-228567d7919f","resolution":{"observed_at":"2026-08-16T05:28:06.850605Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.831119Z","title":null,"venue":null,"work_id":"c65b1dc9-f887-487e-bf99-4e964f2ff1ff","year":2002},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.120717Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:15d1d8cc467cafe41650e2cfde254951a87f72093a5d50909fc91fe264f43e6c","observation_id":"56ee6cec-7321-43c8-9371-620217386883","resolution":{"observed_at":"2026-08-16T05:28:06.835689Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.815986Z","title":null,"venue":null,"work_id":"2cc40923-a11a-4f30-a4b5-f2b4a6ddb244","year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.124771Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:1b67877c543fe7f32a724c036ae24fa4fb181b0b2fb13565b432f6102421d581","observation_id":"deb1f7f6-ca04-4bb7-add6-15e314fad08c","resolution":{"observed_at":"2026-08-16T05:28:06.821261Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-08-15T14:02:47.366139Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-16T05:28:06.128784Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.128784Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:28f8300578164403d9ebbdc579c8dcbaa9462a448cc0891ca322ff2ff02d36a8","observation_id":"5a16708e-9f5d-4a26-90dc-da944e0f2309","resolution":{"observed_at":"2026-08-16T05:28:06.128784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08763","last_updated":"2024-09-04T16:13:18Z","snapshot_observed_at":"2026-08-16T14:10:04.613423Z","submitted_at":"2024-03-13T17:58:57Z","title":"Simple and Scalable Strategies to Continually Pre-train Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08763","snapshot_observed_at":"2026-08-16T05:28:06.132947Z","title":"Richter, Quentin Anthony, Timoth \\'e e Lesort, Eugene Belilovsky, and Irina Rish","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.132947Z"},"links":{"cited_paper":"/paper/2403.08763","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:27c00d8d631eb5d9c17bc13d621c4419f3359a455948e1b506dc16fbadf96e70","observation_id":"ef218ce0-69f0-4f5e-8d2c-c21dbc223ad5","resolution":{"observed_at":"2026-08-16T05:28:06.132947Z","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":"2026-08-16T05:28:06.801203Z","title":null,"venue":null,"work_id":"1861809b-85a0-4a45-a2be-0937858683f8","year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.137095Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:784da90b3cb479bc90d2fa780b985bece5fa80f4a9a0c38ed268e6380d73dd54","observation_id":"306f88b5-4b81-4cc0-a5d0-47918a9a6dcf","resolution":{"observed_at":"2026-08-16T05:28:06.805445Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.141160Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.141160Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:cd048f7861acb791c9a7ae8403724c006821d8dc246bedc32aa798f1e2b9d5b7","observation_id":"823ae473-1391-4027-95d3-4b92d4f391dd","resolution":{"observed_at":"2026-08-16T05:28:06.141160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.08091","last_updated":"2023-02-16T05:08:34Z","snapshot_observed_at":"2026-08-17T18:35:16.160576Z","submitted_at":"2023-02-16T05:08:34Z","title":"Do We Still Need Clinical Language Models?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.08091","snapshot_observed_at":"2026-08-16T05:28:06.145020Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.145020Z"},"links":{"cited_paper":"/paper/2302.08091","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:0fe4d6e2188c632e3fd3ca517cef082da714a595d2b80669d7dc991a4a7deadd","observation_id":"a33f0dd3-a065-485b-a59f-a3fdde9bd405","resolution":{"observed_at":"2026-08-16T05:28:06.145020Z","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":"2026-08-16T05:28:06.777705Z","title":null,"venue":null,"work_id":"abfe5378-de88-41a8-82cb-ed60132c24ef","year":2018},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.148953Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:da43bd73482df2995035017a0d3bcdc9a70a3d744a03eb3e0bfda999d2ec80b5","observation_id":"3de0d913-71bc-4d7c-90c5-eaef78503a39","resolution":{"observed_at":"2026-08-16T05:28:06.783113Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07778","last_updated":"2023-04-16T13:25:24Z","snapshot_observed_at":"2026-08-16T15:40:07.897734Z","submitted_at":"2023-04-16T13:25:24Z","title":"SikuGPT: A Generative Pre-trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07778","snapshot_observed_at":"2026-08-16T05:28:06.152854Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.152854Z"},"links":{"cited_paper":"/paper/2304.07778","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:0e8417dfd85d5f7f5317ca34ee029a9c5b558bad598d3626ec4cbe710c0df0c5","observation_id":"538bd3da-df33-4513-ae88-1786df6651da","resolution":{"observed_at":"2026-08-16T05:28:06.152854Z","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":"2026-08-16T05:28:06.764141Z","title":null,"venue":null,"work_id":"203b2d77-7159-4845-a7c6-0c28e363e4bd","year":2018},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.157119Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:59fd2f894bc721f42842f879030bc19103abd835113d79cbc3b972243a49c813","observation_id":"10980d74-0ce5-41ee-a8ab-50535e92cc80","resolution":{"observed_at":"2026-08-16T05:28:06.768405Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15461","last_updated":"2023-09-27T07:57:21Z","snapshot_observed_at":"2026-08-18T17:14:34.792778Z","submitted_at":"2023-09-27T07:57:21Z","title":"ChatCounselor: A Large Language Models for Mental Health Support","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15461","snapshot_observed_at":"2026-08-16T05:28:06.161085Z","title":"Liu, Donghao Li, He Cao, Tianhe Ren, Zeyi Liao, and Jiamin Wu","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.161085Z"},"links":{"cited_paper":"/paper/2309.15461","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:ddb5c2825fe27d1cb874585e8835910cdaf5e462fff3948ed90464e97b9f7b82","observation_id":"b310901b-5663-4154-a01a-798911d3bc25","resolution":{"observed_at":"2026-08-16T05:28:06.161085Z","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":"2026-08-16T05:28:06.750569Z","title":null,"venue":null,"work_id":"b5cc5143-e3d8-484e-9f3f-6661e9550a61","year":2020},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.165250Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:f7625a7999b68981db4229271d62e86a92ff9cf46fb31a37d0cb3fd3767999a0","observation_id":"562a9490-7b9c-4496-a3cd-9569ca6f9ed8","resolution":{"observed_at":"2026-08-16T05:28:06.754912Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.169268Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.169268Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:cf61d878ef412a5270d17509b3ea2cee642b52cb0d038bde84db660a6633fabb","observation_id":"464b0383-b2fb-4d81-9204-04a012f4f5b6","resolution":{"observed_at":"2026-08-16T05:28:06.169268Z","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":"2026-08-16T05:28:06.728001Z","title":null,"venue":null,"work_id":"1880efea-67ab-4bcd-8c97-efa27701f164","year":2019},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.173297Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:5942706c035384f5b789ece0890b9b0cf1aef11f107a50f8fb6ffe4a480e177e","observation_id":"3ce01024-f9fc-4db7-b122-dc18ae818262","resolution":{"observed_at":"2026-08-16T05:28:06.732520Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.713382Z","title":null,"venue":null,"work_id":"2b7a3992-5c3f-4edd-8844-f0caadf3a044","year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.177311Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:19d861fb425731cb4e27b66b5e6b1d4e14197c939713f9bcc90dc05a0185e6f8","observation_id":"e86c67c9-158a-4248-8d8c-df842f1cf778","resolution":{"observed_at":"2026-08-16T05:28:06.718798Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09085","last_updated":"2022-11-16T18:06:33Z","snapshot_observed_at":"2026-08-17T08:35:32.078396Z","submitted_at":"2022-11-16T18:06:33Z","title":"Galactica: A Large Language Model for Science","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09085","snapshot_observed_at":"2026-08-16T05:28:06.181263Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.181263Z"},"links":{"cited_paper":"/paper/2211.09085","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:a853819eb9c39c6f78747146ec7e362983786563b149aba97f3c2154ccf55e2c","observation_id":"59c0ecac-156a-49db-8c15-39d87d33530c","resolution":{"observed_at":"2026-08-16T05:28:06.181263Z","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":"2026-08-16T05:28:06.699305Z","title":null,"venue":null,"work_id":"0a40438a-d695-4dd8-a7ac-8bbf7101182e","year":2020},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.185568Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:2d59984938daacb8cc00c465fbbcb5a4075070f330682729a8a898fba542f408","observation_id":"5a69c863-736b-4ba5-80ea-2d0d0ce9e18a","resolution":{"observed_at":"2026-08-16T05:28:06.703765Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-16T05:28:06.189717Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.189717Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:058a81ae93f8433b3bcaceec979e840f840746b1286e49ed2db2e2d0f08ca18b","observation_id":"d5b8e0a6-1c3e-4bdf-ba5f-5d3e3677650c","resolution":{"observed_at":"2026-08-16T05:28:06.189717Z","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":"2026-08-16T05:28:06.194017Z","title":"Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.194017Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:26e68f665fbf8d43d53071c8bfeb5dea4ed01541cdb6def71f32dd68a145ff0f","observation_id":"eef3673f-bcd8-4790-8cd5-6aef2b8f7e55","resolution":{"observed_at":"2026-08-16T05:28:06.194017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05354","last_updated":"2023-07-11T15:44:01Z","snapshot_observed_at":"2026-08-16T15:17:04.387448Z","submitted_at":"2023-07-11T15:44:01Z","title":"GujiBERT and GujiGPT: Construction of Intelligent Information Processing Foundation Language Models for Ancient Texts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05354","snapshot_observed_at":"2026-08-16T05:28:06.197989Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.197989Z"},"links":{"cited_paper":"/paper/2307.05354","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:9edda7cfe4d8721a752a1f82edfa1d2222753ce1c0aa72291cd200f512ea9118","observation_id":"2a5c606d-ab42-4dc4-9dc1-83cf9abd1f32","resolution":{"observed_at":"2026-08-16T05:28:06.197989Z","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":"2026-08-16T05:28:06.676546Z","title":null,"venue":null,"work_id":"709ddcc6-b4e9-4052-b093-8253b71369a1","year":2022},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.202799Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:2320c2afca5c69af7f212202e4456fc16b651b638a9e94fa50eece7057aa7404","observation_id":"b96eb985-17ec-4cda-badd-f9f74d1967fe","resolution":{"observed_at":"2026-08-16T05:28:06.681056Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06975","last_updated":"2023-04-14T07:54:17Z","snapshot_observed_at":"2026-08-16T15:40:30.307678Z","submitted_at":"2023-04-14T07:54:17Z","title":"HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.06975","snapshot_observed_at":"2026-08-16T05:28:06.206925Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.206925Z"},"links":{"cited_paper":"/paper/2304.06975","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:34c1f3dde0a241b7a7dd892969133015e5a4f708f0402e8bd41b6d45f4320310","observation_id":"e8d7ae9a-5fb4-477d-98ac-817f21b320b1","resolution":{"observed_at":"2026-08-16T05:28:06.206925Z","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":"2026-08-16T05:28:06.661543Z","title":null,"venue":null,"work_id":"65e512ba-8c1b-4ee3-a23b-ec68533dfc5a","year":2019},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.211654Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:675bc61469a7cb860a683d823e6b3eb8f6fdb561dee96dd03c1aa69952a1b8c4","observation_id":"e1c58700-bdc3-4442-85e3-501f675ad28a","resolution":{"observed_at":"2026-08-16T05:28:06.667155Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01097","last_updated":"2023-04-17T17:06:29Z","snapshot_observed_at":"2026-08-16T15:43:09.845753Z","submitted_at":"2023-04-03T15:57:51Z","title":"DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01097","snapshot_observed_at":"2026-08-16T05:28:06.215807Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.215807Z"},"links":{"cited_paper":"/paper/2304.01097","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:3c03ac16647625040d2a575b48baf81e67c970971c555069bb62df2dcc893e58","observation_id":"489d0dcd-8e46-4b1e-87a4-447fa6af47a8","resolution":{"observed_at":"2026-08-16T05:28:06.215807Z","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":"2026-08-16T05:28:06.646908Z","title":null,"venue":null,"work_id":"54095e25-02f6-4019-b698-35ffca81d871","year":2016},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.220073Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:77ba4731b6c032d49568f11aaa6ce777f35ef49cac4b126d27cdf65cebf1b877","observation_id":"940b01a2-ec1a-470e-8b88-300f401f5eda","resolution":{"observed_at":"2026-08-16T05:28:06.651507Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.10305","last_updated":"2025-04-17T08:34:42Z","snapshot_observed_at":"2026-08-14T19:59:05.307983Z","submitted_at":"2023-09-19T04:13:22Z","title":"Baichuan 2: Open Large-scale Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.10305","snapshot_observed_at":"2026-08-16T05:28:06.223968Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.223968Z"},"links":{"cited_paper":"/paper/2309.10305","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:8809a8733c01043299fb432844b8350db31d1bf2f16f3f1012755f55c34b4bea","observation_id":"73d39564-915f-4361-b2ca-2302b49cfa57","resolution":{"observed_at":"2026-08-16T05:28:06.223968Z","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":"2026-08-17T18:50:07.059564Z","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":"2026-08-16T05:28:06.227823Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.227823Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:38600bcce727053fbc96907966f6379d8948397138989eb40582d0adbd08c51b","observation_id":"718d4b2f-e343-46a8-919b-22b5284a59da","resolution":{"observed_at":"2026-08-16T05:28:06.227823Z","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":"2026-08-16T05:28:06.631148Z","title":null,"venue":null,"work_id":"65497493-37ba-4763-a6e9-81fe8972adc2","year":2024},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.231257Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:c9f417c50ad61ba7ec1f0f899172612a6fc77c76d7c8fb69bd4c8facce84f6e8","observation_id":"ea40f8f5-d6b8-48ef-b87f-ef3cd8f12498","resolution":{"observed_at":"2026-08-16T05:28:06.636868Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13064","last_updated":"2023-09-15T02:59:31Z","snapshot_observed_at":"2026-08-17T22:33:46.637845Z","submitted_at":"2023-09-15T02:59:31Z","title":"InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.13064","snapshot_observed_at":"2026-08-16T05:28:06.235111Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.235111Z"},"links":{"cited_paper":"/paper/2309.13064","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:60610693239b27c4653cc5159db9b673a705d18f954a733c05cc11936775017a","observation_id":"66366294-571f-427a-a631-7b5464eaee4e","resolution":{"observed_at":"2026-08-16T05:28:06.235111Z","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":"2026-08-16T05:28:06.615375Z","title":null,"venue":null,"work_id":"b92a7dcc-b988-4da9-afba-5d8f261bbd02","year":2017},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.239306Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:6222cde63b82f26ea22f8f007595e8a48e6fec791ec8acc76bd033abcc493557","observation_id":"288352f8-ecdd-42a7-b72a-1282693f30c8","resolution":{"observed_at":"2026-08-16T05:28:06.619847Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.600626Z","title":null,"venue":null,"work_id":"114292b6-c45a-43f9-bdab-996ecaebd340","year":2019},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.243035Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:bdecfea385e6a644e1dc42ac2847a4337ac71188aa104ee622d4da265f224e06","observation_id":"fa345bf3-7497-4969-9d22-23a782a0155d","resolution":{"observed_at":"2026-08-16T05:28:06.605327Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11325","last_updated":"2023-09-23T18:36:21Z","snapshot_observed_at":"2026-08-16T14:59:06.585153Z","submitted_at":"2023-09-20T13:50:26Z","title":"DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11325","snapshot_observed_at":"2026-08-16T05:28:06.246694Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.246694Z"},"links":{"cited_paper":"/paper/2309.11325","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:5612c2a984c09727557a975f9f6eb5eea5872e60b6baa8e9eaed101eafe070bd","observation_id":"65a5e818-5b11-4707-b702-bc02b427070c","resolution":{"observed_at":"2026-08-16T05:28:06.246694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12793","last_updated":"2024-07-30T03:58:11Z","snapshot_observed_at":"2026-08-14T09:56:00.692687Z","submitted_at":"2024-06-18T16:58:21Z","title":"ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12793","snapshot_observed_at":"2026-08-16T05:28:06.250463Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.250463Z"},"links":{"cited_paper":"/paper/2406.12793","citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:fbb2915f98cfee6c3b59d4230388ae11591864bd5d055a5eb74048a4aacd7227","observation_id":"85c966e4-2bbc-4f33-924e-b7f84c7546ed","resolution":{"observed_at":"2026-08-16T05:28:06.250463Z","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":"2026-08-16T05:28:06.585969Z","title":null,"venue":null,"work_id":"d25ee530-b01d-44da-9f39-2edd72f378da","year":2024},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.254286Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:076f8c0165ae564ccca87adc308b812e34bfc4374a25df32a6ca95477a05343f","observation_id":"d8694283-19b3-4ab7-b63e-aa1b23dfd565","resolution":{"observed_at":"2026-08-16T05:28:06.590627Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.572036Z","title":null,"venue":null,"work_id":"b3800478-df65-47d1-abd7-c5d3d9c748b6","year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.258354Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:50d3eb60eb5d3181bd98a78f6a09ac0581912ca2febe7495392d390660c3884c","observation_id":"8e1d0780-5c26-45c5-9071-ec325efbece8","resolution":{"observed_at":"2026-08-16T05:28:06.576439Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:28:06.556561Z","title":null,"venue":null,"work_id":"4bad34d3-31c0-4d9a-b508-fdc02f84e7d1","year":2023},"citing_paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-16T05:28:06.261963Z"},"links":{"citing_paper":"/paper/2504.20609"},"observation_digest":"sha256:070843606d0d2f585ad0174f32dc543f0406fe20000870c0685e2f7561bcae18","observation_id":"e3692c3a-fa8e-4d41-a076-18d56c9bc150","resolution":{"observed_at":"2026-08-16T05:28:06.562128Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.20609","last_updated":"2025-04-29T10:19:05Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T13:13:39.110518Z","submitted_at":"2025-04-29T10:19:05Z","title":"WenyanGPT: A Large Language Model for Classical Chinese Tasks"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":52,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":52},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2504.20609."}