{"as_of":"2026-08-09T00:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c39d568db103297f930528d3dba19bbb207806bb08972a485bffd981c90ec2c5","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":29,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T00:35:28.478770Z","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":"2026-07-02T23:57:27.960048Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2406.14075","last_updated":"2026-06-09T10:01:10Z","snapshot_observed_at":"2026-08-06T22:56:11.997903Z","submitted_at":"2024-06-20T07:50:37Z","title":"EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-23T23:39:40.979939Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2406.14075"},"observation_digest":"sha256:cb9488197cec79b0b0a076a891f8e1d548ae8df21f5c2fb1984226240ac5bc6a","observation_id":"80da3a50-82f2-4d1d-9590-68210647e0af","resolution":{"observed_at":"2026-05-23T23:43:38.149232Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-09T00:35:28.478770Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03843","last_updated":"2025-02-06T07:53:40Z","snapshot_observed_at":"2026-08-09T00:29:37.775346Z","submitted_at":"2025-02-06T07:53:40Z","title":"Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-09T00:35:28.478770Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2502.03843"},"observation_digest":"sha256:a3d9804b89d9d05dd49247e4884ae8ad91c0813aeb4a70db9d7c620b09489285","observation_id":"73907357-d1d8-4902-abad-b23d332d10fb","resolution":{"observed_at":"2026-08-09T00:35:28.478770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-09T00:11:30.623369Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03954","last_updated":"2025-02-06T10:46:19Z","snapshot_observed_at":"2026-08-09T00:04:30.755175Z","submitted_at":"2025-02-06T10:46:19Z","title":"MAQInstruct: Instruction-based Unified Event Relation Extraction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T00:11:30.623369Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2502.03954"},"observation_digest":"sha256:870367176852dd62162d1c80adf40ad1364580f1ea3b7f0e9e6b81bc0a202be4","observation_id":"468ebd1b-d840-4e5c-bf4d-d38028917c43","resolution":{"observed_at":"2026-08-09T00:11:30.623369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-08T13:16:54.521934Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07286","last_updated":"2025-02-11T06:06:25Z","snapshot_observed_at":"2026-08-08T13:10:37.813717Z","submitted_at":"2025-02-11T06:06:25Z","title":"Small Language Model Makes an Effective Long Text Extractor","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-08T13:16:54.521934Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2502.07286"},"observation_digest":"sha256:7bedee66960e1e68d49b16888578c2de2d21b37d26c1cf73e61b116bebff1ccc","observation_id":"50c5a6b3-2027-4807-95c3-fb8bcc930cb5","resolution":{"observed_at":"2026-08-08T13:16:54.521934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-07T14:02:40.330257Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20113","last_updated":"2025-05-26T15:16:48Z","snapshot_observed_at":"2026-08-07T13:56:38.305605Z","submitted_at":"2025-05-26T15:16:48Z","title":"Named Entity Recognition in Historical Italian: The Case of Giacomo Leopardi's Zibaldone","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:02:40.330257Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2505.20113"},"observation_digest":"sha256:7f749bea2798e7e0004e81ce6b4005f40366cedc052900219770bdaa79c367a1","observation_id":"86a64748-8aa9-463f-9f69-4e30a0dcb552","resolution":{"observed_at":"2026-08-07T14:02:40.330257Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-07T12:05:25.544531Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00649","last_updated":"2025-05-31T17:36:18Z","snapshot_observed_at":"2026-08-07T11:58:55.046654Z","submitted_at":"2025-05-31T17:36:18Z","title":"GuideX: Guided Synthetic Data Generation for Zero-Shot Information Extraction","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T12:05:25.544531Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2506.00649"},"observation_digest":"sha256:b153837f7444d7f2503cf40e016e94eed5cb08e5b7d5ca13cf3dc269dda4c88a","observation_id":"568b6dd1-ba7c-48f8-ae8d-5544526a83d0","resolution":{"observed_at":"2026-08-07T12:05:25.544531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-07T05:51:44.597516Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction, 2023b","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06881","last_updated":"2025-06-07T18:01:25Z","snapshot_observed_at":"2026-08-09T00:25:51.043346Z","submitted_at":"2025-06-07T18:01:25Z","title":"KnowCoder-V2: Deep Knowledge Analysis","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:51:44.597516Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2506.06881"},"observation_digest":"sha256:dbc9278d4451a22dee32ac8505a5c365ff94442422a82e7c6c99aa3d16d49e7e","observation_id":"64a7b9ff-bc03-4b08-9b6d-617672ccb013","resolution":{"observed_at":"2026-08-07T05:51:44.597516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-06T22:34:07.272399Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21222","last_updated":"2025-06-26T13:14:52Z","snapshot_observed_at":"2026-08-06T22:27:50.476282Z","submitted_at":"2025-06-26T13:14:52Z","title":"Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T22:34:07.272399Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2506.21222"},"observation_digest":"sha256:f1f8820375a9a29676f16a2811f7a051f5ecf40cba86bb3da66eef0973dfd7a1","observation_id":"98d40c99-95af-4b34-b5c9-21721b1f25e9","resolution":{"observed_at":"2026-08-06T22:34:07.272399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-06T22:02:40.459732Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.22813","last_updated":"2025-06-28T08:28:52Z","snapshot_observed_at":"2026-08-06T21:54:58.366208Z","submitted_at":"2025-06-28T08:28:52Z","title":"Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T22:02:40.459732Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2506.22813"},"observation_digest":"sha256:ec1386526e249835f31b837b0776ab8f75aae226efb7195a43efb9d9fb96b213","observation_id":"528c7de8-b438-4e8e-9b01-adeea9c870b3","resolution":{"observed_at":"2026-08-06T22:02:40.459732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-05T15:44:48.094834Z","title":"arXiv:2304.08085","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19569","last_updated":"2025-08-27T04:58:56Z","snapshot_observed_at":"2026-08-07T00:55:46.071950Z","submitted_at":"2025-08-27T04:58:56Z","title":"Skill-based Explanations for Serendipitous Course Recommendation","version":1},"reference_index":113,"source":"pdf_text","source_observed_at":"2026-08-05T15:44:48.094834Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2508.19569"},"observation_digest":"sha256:9225b9313077bc3ed3b431e8505acea8ad589d9b8f6ef9286c6bd6a6c4c26a0a","observation_id":"7730891a-b6c2-4ace-af43-9d6127ccd75d","resolution":{"observed_at":"2026-08-05T15:44:48.094834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-05T12:54:05.465108Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.01158","last_updated":"2025-09-09T07:14:16Z","snapshot_observed_at":"2026-08-05T12:54:04.080007Z","submitted_at":"2025-09-01T06:28:33Z","title":"Joint Information Extraction Across Classical and Modern Chinese with Tea-MOELoRA","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T12:54:05.465108Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2509.01158"},"observation_digest":"sha256:9ccf2c57100da31828c281ede5340a1ce2677ae9727e5bc33930456fcab3fc51","observation_id":"3464a59c-47f3-4ab8-8d6e-1411added121","resolution":{"observed_at":"2026-08-05T12:54:05.465108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-04T20:44:00.087316Z","title":"InstructUIE: Multi-task instruction tuning for unified information extraction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08381","last_updated":"2025-09-10T08:19:07Z","snapshot_observed_at":"2026-08-04T20:43:52.461435Z","submitted_at":"2025-09-10T08:19:07Z","title":"Low-Resource Fine-Tuning for Multi-Task Structured Information Extraction with a Billion-Parameter Instruction-Tuned Model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T20:44:00.087316Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2509.08381"},"observation_digest":"sha256:6729da5aa3c9bc1e0c684707069242c16883eab234a7311b05b5e76ad30627d9","observation_id":"966f9ff6-a1bb-4b6d-9d8b-4dc2fe259db0","resolution":{"observed_at":"2026-08-04T20:44:00.087316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-04T19:48:22.613269Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09082","last_updated":"2025-09-11T01:08:58Z","snapshot_observed_at":"2026-08-04T19:48:21.592720Z","submitted_at":"2025-09-11T01:08:58Z","title":"MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extraction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T19:48:22.613269Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2509.09082"},"observation_digest":"sha256:34162e1e8de61a154ae656d3530d8c203c1ae32e8eb4071cf627e30ae17cb223","observation_id":"b293bb00-9dcb-455b-a3a8-ec20a0f90abb","resolution":{"observed_at":"2026-08-04T19:48:22.613269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-02T23:30:10.382835Z","title":"Yang, Siyuan Li, and Chunsai Du","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13748","last_updated":"2026-05-27T06:41:14Z","snapshot_observed_at":"2026-08-03T20:03:51.407251Z","submitted_at":"2026-02-14T12:43:25Z","title":"RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T23:30:10.382835Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2602.13748"},"observation_digest":"sha256:c4889514e39fee0d6a7463738404cd0dee3e3d25a6b0528aba35299bd4e976bd","observation_id":"9128aa8b-6a87-4f6b-bb4a-eeb7bf8ae993","resolution":{"observed_at":"2026-08-02T23:30:10.382835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2604.01674","last_updated":"2026-05-16T03:07:23Z","snapshot_observed_at":"2026-08-05T20:07:32.045019Z","submitted_at":"2026-04-02T06:21:21Z","title":"Can Heterogeneous Language Models Be Fused?","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-21T10:57:01.529364Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2604.01674"},"observation_digest":"sha256:ea785080836ebf92442b17083184db9a58db216258ecaee91bcce788eb39c3bf","observation_id":"843875bd-36a8-4a5f-96f2-6f041cb9d49f","resolution":{"observed_at":"2026-05-21T11:00:02.086431Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2604.10212","last_updated":"2026-04-11T13:43:56Z","snapshot_observed_at":"2026-07-06T22:58:51.931478Z","submitted_at":"2026-04-11T13:43:56Z","title":"Relational Probing: LM-to-Graph Adaptation for Financial Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T15:43:59.697979Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2604.10212"},"observation_digest":"sha256:61701f9f59f981b0d9c0af4c8b63bb023be61f394ac75ee89118c6781cd728b9","observation_id":"48daf638-534d-4a0e-bd71-8394687fc670","resolution":{"observed_at":"2026-05-11T09:56:04.485030Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2604.21525","last_updated":"2026-04-23T10:46:07Z","snapshot_observed_at":"2026-07-06T23:08:05.568089Z","submitted_at":"2026-04-23T10:46:07Z","title":"Job Skill Extraction via LLM-Centric Multi-Module Framework","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-09T22:00:23.485730Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2604.21525"},"observation_digest":"sha256:c373691e8b1bd309d3470430340d931da2d981a144ade972b9280404a79e28ac","observation_id":"9ce923ce-4779-4560-8c01-f10fbdda3982","resolution":{"observed_at":"2026-05-11T14:21:06.357593Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2604.27479","last_updated":"2026-04-30T06:20:35Z","snapshot_observed_at":"2026-07-06T23:12:57.730833Z","submitted_at":"2026-04-30T06:20:35Z","title":"Gender Bias in YouTube Exposure: Allocative and Structural Inequalities in Political Information Environments","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-07T08:08:22.704549Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2604.27479"},"observation_digest":"sha256:aa212c101efc3e6cf741a584c70b340cc89574179afe554f18fddc6b5fd9f34f","observation_id":"37039aaf-7867-4371-907f-5b6ec7b6ca4c","resolution":{"observed_at":"2026-05-12T10:01:29.314851Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2605.03103","last_updated":"2026-05-04T19:37:21Z","snapshot_observed_at":"2026-07-31T13:35:55.740924Z","submitted_at":"2026-05-04T19:37:21Z","title":"MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-08T18:10:43.434573Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2605.03103"},"observation_digest":"sha256:d698dadb32239f2be91ab992d048af52cc64f56b5a8fb151dba6c9f82e19294c","observation_id":"e21ede2a-df0c-4795-b28b-2159100df0c1","resolution":{"observed_at":"2026-05-09T06:45:40.888862Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2605.03706","last_updated":"2026-05-05T12:54:17Z","snapshot_observed_at":"2026-07-06T23:16:34.988490Z","submitted_at":"2026-05-05T12:54:17Z","title":"SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-07T16:42:00.898695Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2605.03706"},"observation_digest":"sha256:f2f49d36d0d09fbe214b682195a72ed0119380ab0ec8bf25b61c1128759f0ef8","observation_id":"90575eec-a5ee-4a80-a31c-6dd568882109","resolution":{"observed_at":"2026-05-11T23:36:20.593393Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2605.18113","last_updated":"2026-05-27T11:07:32Z","snapshot_observed_at":"2026-07-06T23:28:59.503300Z","submitted_at":"2026-05-18T09:21:04Z","title":"iPOE: Interpretable Prompt Optimization via Explanations","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T18:51:02.893069Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2605.18113"},"observation_digest":"sha256:0fd30605079fe214482f72a543f435c32cb2744501079e35e14dc9c4ccf2d1bd","observation_id":"f93ffddc-28de-473f-947a-91f7bdf27e05","resolution":{"observed_at":"2026-06-30T18:55:00.385262Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2606.28070","last_updated":"2026-06-29T06:29:34Z","snapshot_observed_at":"2026-08-03T01:30:11.337878Z","submitted_at":"2026-06-26T13:33:27Z","title":"JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-06-29T04:11:05.226043Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2606.28070"},"observation_digest":"sha256:2a623a956603507126d4ba83f742d05920280ac67a4b8579436f5da36501bc11","observation_id":"8e2c6aee-0e27-482c-965a-18a66a044bc4","resolution":{"observed_at":"2026-07-01T17:05:51.153223Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2606.28070","last_updated":"2026-06-29T06:29:34Z","snapshot_observed_at":"2026-08-03T01:30:11.337878Z","submitted_at":"2026-06-26T13:33:27Z","title":"JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications","version":2},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-06-30T09:43:58.385814Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2606.28070"},"observation_digest":"sha256:5f0428546f53ed5cad1f0c6732067d229a064d778b3bce37add60e519760ad19","observation_id":"f3f322e1-2eaa-42d7-809f-cba1b255bdf6","resolution":{"observed_at":"2026-06-30T09:44:37.214028Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2606.29407","last_updated":"2026-06-28T14:01:52Z","snapshot_observed_at":"2026-08-05T07:03:09.154314Z","submitted_at":"2026-06-28T14:01:52Z","title":"LC-ICL: Label-Guided Contrastive In-Context Learning for Robust Information Extraction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T07:33:12.712241Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2606.29407"},"observation_digest":"sha256:6e319baa58aa6883c61931f60e372c633e8cfcae8eaf2a7d9e80f8634bc8c6a8","observation_id":"2c636b10-8d95-4393-bef8-2d253d12bf9b","resolution":{"observed_at":"2026-06-30T07:34:21.319290Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":"2304.08085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-02T23:57:27.960048Z","title":"Instructuie: Multi-task instruction tuning for unified information extraction","venue":null,"work_id":"55f1f30b-a51e-400e-873c-ccd6bfc49154","year":2024},"citing_paper":{"arxiv_id":"2607.00008","last_updated":"2026-05-04T20:55:50Z","snapshot_observed_at":"2026-08-06T18:04:07.293382Z","submitted_at":"2026-05-04T20:55:50Z","title":"SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-02T23:54:20.000531Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2607.00008"},"observation_digest":"sha256:bc1bbcc1dea8f4c00378a3dd3a0fc75e7f1f48abe80d3f8a2ae3ec919c5adb28","observation_id":"183faf77-9695-40c8-8828-4805c743ba9e","resolution":{"observed_at":"2026-07-02T23:57:27.961582Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-02T13:27:16.871181Z","title":"arXiv preprint arXiv:2304.08085 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20470","last_updated":"2026-05-22T13:37:33Z","snapshot_observed_at":"2026-08-08T00:54:24.049505Z","submitted_at":"2026-05-22T13:37:33Z","title":"PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-02T13:27:16.871181Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2607.20470"},"observation_digest":"sha256:29b5584de4e561ae51a8e2a4a90b4ab1b69387db6aeb565c4d14afbac78360c7","observation_id":"f8cb0d3e-51d2-4af4-869e-89d9ffd5ed3f","resolution":{"observed_at":"2026-08-02T13:27:16.871181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-30T22:49:43.099445Z","title":"arXiv preprint arXiv:2304.08085 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23420","last_updated":"2026-07-26T02:35:47Z","snapshot_observed_at":"2026-08-02T21:56:50.028793Z","submitted_at":"2026-07-26T02:35:47Z","title":"LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-07-30T22:49:43.099445Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2607.23420"},"observation_digest":"sha256:acea5e8b841356d241c3b8181e8758c71c993d13c078070c8d80f7d2f3aeb57f","observation_id":"2596587b-5910-44d3-8031-37d603887b94","resolution":{"observed_at":"2026-07-30T22:49:43.099445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-07-30T17:59:31.278170Z","title":"Instructuie: Multi-task instruction tuning for unified in- formation extraction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26891","last_updated":"2026-07-29T13:23:30Z","snapshot_observed_at":"2026-08-07T11:31:45.670575Z","submitted_at":"2026-07-29T13:23:30Z","title":"DIRECT: Direct Decoding for Efficient and Aligned Sequence Labeling with Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-30T17:59:31.278170Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2607.26891"},"observation_digest":"sha256:870ee714c6017279e6a58d6f2cd17820ce3fbd60c834b894a662dc3c33f99d34","observation_id":"02f9a4b8-73ac-4bfc-b6e2-0262230d3d25","resolution":{"observed_at":"2026-07-30T17:59:31.278170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08085","snapshot_observed_at":"2026-08-05T00:45:14.354606Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00538","last_updated":"2026-08-01T08:46:53Z","snapshot_observed_at":"2026-08-07T06:11:51.695219Z","submitted_at":"2026-08-01T08:46:53Z","title":"DE-NER : Zero-shot Named Entity Recognition via Dialogue Elicitation of Large Language Models","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T00:45:14.354606Z"},"links":{"cited_paper":"/paper/2304.08085","citing_paper":"/paper/2608.00538"},"observation_digest":"sha256:5b6a9e8a21d9e0c002d66e7d4177d12ba208522e9235d9b28ea6a8e95886671f","observation_id":"3b70058e-f18e-4330-b9a0-0b0b2b7f0998","resolution":{"observed_at":"2026-08-05T00:45:14.354606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2304.08085/citation-record","integrity":"/paper/2304.08085/integrity","json":"/paper/2304.08085/citation-record.json","paper":"/paper/2304.08085"},"outbound":[],"paper":{"arxiv_id":"2304.08085","last_updated":"2023-04-17T09:00:50Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T15:25:41.220313Z","submitted_at":"2023-04-17T09:00:50Z","title":"InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2304.08085."}