{"as_of":"2026-08-09T04:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d587dbcca64f5fc7022d2fe8d6329267c834f29333f660a06c5ef9d3f836cd00","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":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:05:02.572722Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":9,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2304.08244","last_updated":"2023-10-25T06:54:12Z","snapshot_observed_at":"2026-08-02T00:07:12.855748Z","submitted_at":"2023-04-14T14:05:32Z","title":"API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-15T20:51:41.198767Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2304.08244"},"observation_digest":"sha256:f21ecd1936557604365b391411afc8dded8380f37e07a791e2f0eded45859862","observation_id":"da151480-a189-4469-b097-b10dbc9d831b","resolution":{"observed_at":"2026-05-15T20:51:41.229535Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2305.06355","last_updated":"2024-01-04T02:06:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-10T17:59:04Z","title":"VideoChat: Chat-Centric Video Understanding","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-13T23:30:00.457974Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2305.06355"},"observation_digest":"sha256:4c05ead2dbf5bc83fc45b40b791e9d5f7a8ef9bf2f639b2c4d8b87052a03d816","observation_id":"93260ef7-5c24-485d-93a9-050fee0c7104","resolution":{"observed_at":"2026-05-13T23:30:00.591327Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2305.15334","last_updated":"2023-05-24T16:48:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-24T16:48:11Z","title":"Gorilla: Large Language Model Connected with Massive APIs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-11T23:22:16.879418Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2305.15334"},"observation_digest":"sha256:2c06f223af4329561835e260272d551ed632212fab53596ba357e4ab06704d4b","observation_id":"e7714dc8-6229-4d35-9a53-a0bf5e0c9a48","resolution":{"observed_at":"2026-05-11T23:22:17.371932Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2305.18323","last_updated":"2023-05-23T00:16:48Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-23T00:16:48Z","title":"ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-15T18:15:55.525596Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2305.18323"},"observation_digest":"sha256:afc97dc8a436fb8dd14c857fd361da0fee64744334c174e1d2428da3270d473c","observation_id":"73dea35b-2349-4797-887d-90c2423423ca","resolution":{"observed_at":"2026-05-15T18:15:55.613294Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2307.06435","last_updated":"2024-10-17T01:10:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-12T20:01:52Z","title":"A Comprehensive Overview of Large Language Models","version":10},"reference_index":225,"source":"pdf_text","source_observed_at":"2026-05-19T20:28:38.900026Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2307.06435"},"observation_digest":"sha256:2e136da8ba91ac38ff19f301216af79796132845a7708d4279347eea4b08606d","observation_id":"2b1192e3-b30b-4462-96f1-e53b365ff81b","resolution":{"observed_at":"2026-05-19T20:28:39.009221Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2309.17421","last_updated":"2023-10-11T05:07:37Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-29T17:34:51Z","title":"The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-15T23:26:06.183574Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2309.17421"},"observation_digest":"sha256:23cdee601bdc5705c20b57e7e24ba8cfb5153c99531f31bf0a2cbdeb69e96c9a","observation_id":"1426fcc7-a89e-4aa6-88d0-c4d91fad8c1f","resolution":{"observed_at":"2026-05-15T23:26:06.459449Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2401.10774","last_updated":"2024-06-14T23:32:32Z","snapshot_observed_at":"2026-07-06T17:17:56.276857Z","submitted_at":"2024-01-19T15:48:40Z","title":"Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads","version":3},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-05-13T10:36:17.764761Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2401.10774"},"observation_digest":"sha256:8036d3a72f63ef49f0fe6cb5d41e71da0457ea2f4a506f124aec1d893aa71353","observation_id":"09e8137a-d235-42f4-b8e4-c359ff39c8e7","resolution":{"observed_at":"2026-05-13T10:36:18.123769Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-06T19:05:02.572722Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08034","last_updated":"2025-07-09T04:09:59Z","snapshot_observed_at":"2026-08-06T18:58:58.105292Z","submitted_at":"2025-07-09T04:09:59Z","title":"Integrating External Tools with Large Language Models to Improve Accuracy","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:02.572722Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2507.08034"},"observation_digest":"sha256:afdf834aa52cc73440787441925a17e20c1d66611a30080779705ce5efd3afd5","observation_id":"d191450d-0210-49d8-a55c-b8d0560ac3ab","resolution":{"observed_at":"2026-08-06T19:05:02.572722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T13:38:18.197913Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00510","last_updated":"2025-08-30T14:12:46Z","snapshot_observed_at":"2026-08-05T13:38:11.607669Z","submitted_at":"2025-08-30T14:12:46Z","title":"LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-05T13:38:18.197913Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2509.00510"},"observation_digest":"sha256:9c27370aee8e6aa93191d46fcfbe08ec9c8c7d747aa6500e61b526d33b261f75","observation_id":"b921e120-8448-4281-9570-6181de3c7208","resolution":{"observed_at":"2026-08-05T13:38:18.197913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2601.12538","last_updated":"2026-01-18T18:58:23Z","snapshot_observed_at":"2026-08-04T22:42:23.171653Z","submitted_at":"2026-01-18T18:58:23Z","title":"Agentic Reasoning for Large Language Models","version":1},"reference_index":209,"source":"pdf_text","source_observed_at":"2026-05-17T15:14:25.558878Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2601.12538"},"observation_digest":"sha256:eba38b185600c269e3e835b350d49439e8e10e001b9589c24db2797a2a8e9631","observation_id":"8117a37b-bf54-4c81-b572-b48ca36c66ee","resolution":{"observed_at":"2026-05-17T15:14:25.732274Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2605.07935","last_updated":"2026-05-08T16:05:31Z","snapshot_observed_at":"2026-08-03T01:09:10.584822Z","submitted_at":"2026-05-08T16:05:31Z","title":"TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-11T03:27:03.589336Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2605.07935"},"observation_digest":"sha256:150abe4b7ddd53859ee120e424750bdf88f5a8060a3469aa1cc210ee2e87a72d","observation_id":"3d4c34a4-8ad1-420b-be0f-093f0c56cad5","resolution":{"observed_at":"2026-05-11T03:30:55.977489Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2605.10555","last_updated":"2026-05-11T13:30:43Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:30:43Z","title":"Agent-First Tool API: A Semantic Interface Paradigm for Enterprise AI Agent Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-12T04:19:32.031454Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2605.10555"},"observation_digest":"sha256:cbf2b11c5745a72d11af12a5d3d272cf713d979825bbd054ee28830803f789a5","observation_id":"24b465d5-c8be-461a-8129-7816ed77d266","resolution":{"observed_at":"2026-05-12T06:21:27.837118Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":"2303.16434","doi":"10.48550/arxiv.2303.16434","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis","venue":"arXiv (Cornell University)","work_id":"90f98bad-b70c-481c-a56f-1197ee89e441","year":2023},"citing_paper":{"arxiv_id":"2605.18133","last_updated":"2026-05-18T09:38:18Z","snapshot_observed_at":"2026-07-06T23:29:04.241654Z","submitted_at":"2026-05-18T09:38:18Z","title":"An Empirical Study of Privacy Leakage Chains via Prompt Injection in Black-Box Chatbot Environments","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-20T09:58:05.349147Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2605.18133"},"observation_digest":"sha256:9e22fdb3b07ed37793967ebec8750c297b193b0fc18d0a34bb1fa98ba9eeece3","observation_id":"c42d8109-0681-4610-a439-89c548173e5e","resolution":{"observed_at":"2026-05-20T09:58:10.821228Z","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":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-07-14T06:48:32.645976Z","title":"TaskMatrix.AI: Completing Tasks by Connect- ing Foundation Models with Millions of APIs,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11138","last_updated":"2026-07-13T06:15:51Z","snapshot_observed_at":"2026-08-06T19:31:30.215955Z","submitted_at":"2026-07-13T06:15:51Z","title":"A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T06:48:32.645976Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2607.11138"},"observation_digest":"sha256:d587dcbd0e540a3ff2c17078503bf4b0f968ac916e65c2bfc4b6824aafd7721d","observation_id":"a8f4eeec-2468-4c09-a4ef-fc1259516281","resolution":{"observed_at":"2026-07-14T06:48:32.645976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-02T09:51:03.572363Z","title":"ai: Completing tasks by connecting foundation models with millions of apis , author=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16252","last_updated":"2026-06-27T03:25:36Z","snapshot_observed_at":"2026-08-08T02:31:05.095460Z","submitted_at":"2026-06-27T03:25:36Z","title":"SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling","version":1},"reference_index":127,"source":"arxiv_source","source_observed_at":"2026-08-02T09:51:03.572363Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2607.16252"},"observation_digest":"sha256:dddf298a1cd0acf2bdaac692ef1e89c9ae74ead8d55d02ffca034374fa3c490d","observation_id":"7b66495e-4180-4465-8acd-9bc424b73a50","resolution":{"observed_at":"2026-08-02T09:51:03.572363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.16434","last_updated":"2023-03-29T03:30:38Z","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.16434","snapshot_observed_at":"2026-08-01T16:35:15.120607Z","title":"TaskMatrix.AI: Completing tasks by connecting foundation models with millions of apis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17951","last_updated":"2026-07-20T13:52:24Z","snapshot_observed_at":"2026-08-08T08:52:05.370156Z","submitted_at":"2026-07-20T13:52:24Z","title":"RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T16:35:15.120607Z"},"links":{"cited_paper":"/paper/2303.16434","citing_paper":"/paper/2607.17951"},"observation_digest":"sha256:ecfe98339eebedabe7beba5d0ce018fa73984632a5117e96d41b9e843f4f618e","observation_id":"964d61b5-a9e6-477e-978d-bb4b9f578a9d","resolution":{"observed_at":"2026-08-01T16:35:15.120607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2303.16434/citation-record","integrity":"/paper/2303.16434/integrity","json":"/paper/2303.16434/citation-record.json","paper":"/paper/2303.16434"},"outbound":[],"paper":{"arxiv_id":"2303.16434","last_updated":"2023-03-29T03:30:38Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T15:09:21.780147Z","submitted_at":"2023-03-29T03:30:38Z","title":"TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs"},"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 16 inbound Pith citation observations for arXiv:2303.16434."}