{"as_of":"2026-08-07T03:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:22b7eecfa83ce5b7758d1926330014d09467bc2355aaabacdca4673426ae171a","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":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":992,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:59:11.052619Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":555,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2211.10435","last_updated":"2023-01-27T15:30:27Z","snapshot_observed_at":"2026-08-07T01:22:26.004756Z","submitted_at":"2022-11-18T18:56:13Z","title":"PAL: Program-aided Language Models","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-05-15T05:02:50.117120Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2211.10435"},"observation_digest":"sha256:2bdc15cc42bf888a1b291347a8a7b8c310919dd4040c44ee137c47fc17db9a9f","observation_id":"6dadc203-1607-451d-93c4-daa252f14b80","resolution":{"observed_at":"2026-05-15T05:02:50.182443Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2303.11381","last_updated":"2023-03-20T18:31:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-20T18:31:47Z","title":"MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-14T01:17:58.678036Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2303.11381"},"observation_digest":"sha256:07bd8c160b43aba4d37815d34693d9c6469c848c983f81618d07ff46dab69053","observation_id":"3310b8bc-69a6-48d2-a718-c1b1a265fd28","resolution":{"observed_at":"2026-05-14T01:17:58.831780Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2304.05376","last_updated":"2023-10-02T17:03:01Z","snapshot_observed_at":"2026-07-06T15:14:32.823996Z","submitted_at":"2023-04-11T17:41:13Z","title":"ChemCrow: Augmenting large-language models with chemistry tools","version":5},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-15T19:05:22.921088Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2304.05376"},"observation_digest":"sha256:1b0e84a4ba78f7b05d61882d2c88d41e48ad188f23b652fcc267c0de01a1de81","observation_id":"d257595c-0b09-4c5c-8abc-b792c7322754","resolution":{"observed_at":"2026-05-15T19:05:23.048930Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"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":19,"source":"pdf_text","source_observed_at":"2026-05-15T20:51:41.198767Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2304.08244"},"observation_digest":"sha256:509696d2c36aca28473e19f9d08139821f814fc691cfc6b000ba25e435c7a71f","observation_id":"f235feca-3722-451c-9108-83b41a289ca4","resolution":{"observed_at":"2026-05-15T20:51:41.264870Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2305.10601","last_updated":"2023-12-03T22:50:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-17T23:16:17Z","title":"Tree of Thoughts: Deliberate Problem Solving with Large Language Models","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-11T15:36:42.284829Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2305.10601"},"observation_digest":"sha256:bc3c0084f07bee32c913a85515649b8a694262cb8deab64284e035157e16e673","observation_id":"b0ac9b4a-d1ff-4fe5-8e5b-9f62fec45877","resolution":{"observed_at":"2026-05-11T15:36:43.225010Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"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":46,"source":"pdf_text","source_observed_at":"2026-05-11T23:22:16.879418Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2305.15334"},"observation_digest":"sha256:8bc7faa09699ed66d30db4267889309edeff260b0677e4a82263dce0c0a853e9","observation_id":"47fac2d1-cc2b-4220-9c84-10825e798772","resolution":{"observed_at":"2026-05-11T23:22:17.184807Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2305.16291","last_updated":"2023-10-19T16:27:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-25T17:46:38Z","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T13:11:40.995345Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2305.16291"},"observation_digest":"sha256:c1d86e8b569a0d8a12ea466e77672adbc5ed16d1d14bf0bd7cddccab76c2b07d","observation_id":"e1693cb8-2822-4a85-82b0-54f9b995dfbb","resolution":{"observed_at":"2026-05-10T13:11:41.206536Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2306.06070","last_updated":"2023-12-09T05:57:46Z","snapshot_observed_at":"2026-07-06T15:40:50.807376Z","submitted_at":"2023-06-09T17:44:31Z","title":"Mind2Web: Towards a Generalist Agent for the Web","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-15T20:05:15.992207Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2306.06070"},"observation_digest":"sha256:79de23803df8cebd9f34bdda39e05b87592a55f3a6e6fe3d0bd5a4671327a3fa","observation_id":"9546a7a1-9839-4875-8ab6-cd502a94caee","resolution":{"observed_at":"2026-05-15T20:05:16.183366Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2309.02427","last_updated":"2024-03-15T15:44:11Z","snapshot_observed_at":"2026-08-03T00:38:27.580701Z","submitted_at":"2023-09-05T17:56:20Z","title":"Cognitive Architectures for Language Agents","version":3},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-16T19:33:44.146134Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2309.02427"},"observation_digest":"sha256:0213d628f30abcfa559868043dccdc51879c7a9f8a66ce43a4af47e91cf86964","observation_id":"b7bb1c15-12ab-4076-9c5b-137093c58cd5","resolution":{"observed_at":"2026-05-16T19:33:44.251259Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2310.01415","last_updated":"2023-12-05T05:26:29Z","snapshot_observed_at":"2026-07-06T16:26:38.284922Z","submitted_at":"2023-10-02T17:59:57Z","title":"GPT-Driver: Learning to Drive with GPT","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-15T15:05:31.928650Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2310.01415"},"observation_digest":"sha256:32c8817f7462c41f8e22f195d4b8d130fef7aba7d60bca5b97b238a5156246ab","observation_id":"11f149b4-ad51-4028-93e3-13b766a218df","resolution":{"observed_at":"2026-05-15T15:05:31.963719Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2310.03714","last_updated":"2023-10-05T17:37:25Z","snapshot_observed_at":"2026-08-04T05:21:05.846165Z","submitted_at":"2023-10-05T17:37:25Z","title":"DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-05-11T18:57:46.756656Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2310.03714"},"observation_digest":"sha256:a28e0be19c569f058a2a11aed45ade29b2e44c71abe43e28689aa1746731dce2","observation_id":"c1ba77c1-c935-4405-b4d6-a33629e261e0","resolution":{"observed_at":"2026-05-11T18:57:47.216650Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2310.08560","last_updated":"2024-02-12T18:59:46Z","snapshot_observed_at":"2026-08-03T06:31:15.541423Z","submitted_at":"2023-10-12T17:51:32Z","title":"MemGPT: Towards LLMs as Operating Systems","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T12:27:29.041352Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2310.08560"},"observation_digest":"sha256:df8b62aad680ddb73b2a8d2440cb175028dd4eb81ad3e187ff16797bc7af1e56","observation_id":"0add0d36-345c-4fcd-b39c-1ad6128dc156","resolution":{"observed_at":"2026-05-10T12:27:29.068161Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2312.13010","last_updated":"2024-05-24T11:47:24Z","snapshot_observed_at":"2026-07-06T17:05:56.282078Z","submitted_at":"2023-12-20T13:22:41Z","title":"AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-15T03:58:45.824197Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2312.13010"},"observation_digest":"sha256:59c9fa011fc15fcb18700967d5d8051435f6dae3dcd494e1eec597028245d8e6","observation_id":"0f138f71-87d4-42cf-be42-6bfeefb533c4","resolution":{"observed_at":"2026-05-15T03:58:46.042421Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2401.05459","last_updated":"2024-05-08T06:16:23Z","snapshot_observed_at":"2026-08-02T13:57:57.119489Z","submitted_at":"2024-01-10T09:25:45Z","title":"Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security","version":2},"reference_index":227,"source":"pdf_text","source_observed_at":"2026-05-17T00:57:26.303195Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2401.05459"},"observation_digest":"sha256:facea2121c78c25b1e957762563569e6dca07ed5d45883a2d5645d0f7e8c93c9","observation_id":"d0baa9d8-aa83-436f-963d-6ad148ab0b7a","resolution":{"observed_at":"2026-05-17T00:57:26.604750Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2402.02716","last_updated":"2024-02-05T04:25:24Z","snapshot_observed_at":"2026-07-06T17:25:14.115360Z","submitted_at":"2024-02-05T04:25:24Z","title":"Understanding the planning of LLM agents: A survey","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-13T18:12:57.568144Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2402.02716"},"observation_digest":"sha256:257163b3ad16f1dd766d098810dbdde1a15cd4dfd2a4e14753128e2f234224d2","observation_id":"64e93801-0802-4cd8-b8a5-3c53d86746a4","resolution":{"observed_at":"2026-05-13T18:12:57.639471Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2402.06196","last_updated":"2025-03-23T14:51:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-09T05:37:09Z","title":"Large Language Models: A Survey","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-11T15:22:54.023279Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2402.06196"},"observation_digest":"sha256:3db24319b4f17f8eb48dbcb1f19f4f560cc213fcc651638f7df4f94308da7edd","observation_id":"58bae5d3-f3d5-4ee6-a8dc-aa09ad00e86d","resolution":{"observed_at":"2026-05-11T15:22:54.796352Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2402.06922","last_updated":"2026-04-21T14:06:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-10T11:07:24Z","title":"Whispers in the Machine: Confidentiality in Agentic Systems","version":5},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-24T03:59:03.972043Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2402.06922"},"observation_digest":"sha256:a695848deb7b149fc8c0777752b6bfcbe1d96c9e4e52b5f24509920cd2f7dea9","observation_id":"0408bd79-fbc3-4ebf-a44a-f1154c8526c3","resolution":{"observed_at":"2026-05-24T04:03:53.905887Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2402.07927","last_updated":"2025-03-16T06:23:34Z","snapshot_observed_at":"2026-08-05T17:55:26.008016Z","submitted_at":"2024-02-05T19:49:13Z","title":"A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-12T21:52:09.938550Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2402.07927"},"observation_digest":"sha256:4b13d185d987824f3af822f23cd4b732cc1a42d70db0b6816333b03d40bb5ed8","observation_id":"9e0aa485-85e1-44cc-837c-89b86754f94c","resolution":{"observed_at":"2026-05-12T21:52:10.503403Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2403.07718","last_updated":"2024-07-23T06:19:28Z","snapshot_observed_at":"2026-08-02T12:09:24.340284Z","submitted_at":"2024-03-12T14:58:45Z","title":"WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?","version":5},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-05-15T02:48:04.972868Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2403.07718"},"observation_digest":"sha256:86593b3007d3f6b354e0901dd5b939d89faf531061adfc34f3fca468f433c225","observation_id":"d4d151b6-2bcf-4ca1-9add-3ab93a60f058","resolution":{"observed_at":"2026-05-15T02:48:05.240690Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2404.08144","last_updated":"2024-04-17T04:34:39Z","snapshot_observed_at":"2026-08-02T04:29:28.130280Z","submitted_at":"2024-04-11T22:07:19Z","title":"LLM Agents can Autonomously Exploit One-day Vulnerabilities","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-18T04:18:27.597704Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2404.08144"},"observation_digest":"sha256:c44290dc8f44c404130c99537464b31727a6fa1e7e70e617c96084da83577526","observation_id":"a69df0b8-3545-489a-b091-0f89b9f61558","resolution":{"observed_at":"2026-05-18T04:18:27.654033Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2404.11584","last_updated":"2024-04-17T17:32:41Z","snapshot_observed_at":"2026-08-04T23:37:27.678120Z","submitted_at":"2024-04-17T17:32:41Z","title":"The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-16T23:16:41.679855Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2404.11584"},"observation_digest":"sha256:759a1ebe0eaaacdffcc9295b27c658360879eb076d91c47188197edf39616451","observation_id":"e343d0af-77da-4ac2-b878-eb3ee795ba55","resolution":{"observed_at":"2026-05-16T23:16:41.818772Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2404.13501","last_updated":"2024-04-21T01:49:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-04-21T01:49:46Z","title":"A Survey on the Memory Mechanism of Large Language Model based Agents","version":1},"reference_index":104,"source":"pdf_text","source_observed_at":"2026-05-15T07:21:39.440092Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2404.13501"},"observation_digest":"sha256:6946581e606d2a9b0329fe5310d1593738370ab56902732811080f699b5916a3","observation_id":"bc09e844-ee74-48cd-bc7d-91d985588efc","resolution":{"observed_at":"2026-05-15T07:21:39.995500Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2404.18796","last_updated":"2024-05-01T15:37:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-04-29T15:33:23Z","title":"Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-05-15T23:32:17.279836Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2404.18796"},"observation_digest":"sha256:55fb4d791680c1fdc86d764ce3f27f8a15bc3359d65466b396f68a071422e72a","observation_id":"61c18e5b-cc20-481c-aef5-f28ab8720316","resolution":{"observed_at":"2026-05-15T23:32:17.965468Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2406.12045","last_updated":"2024-06-17T19:33:08Z","snapshot_observed_at":"2026-08-02T22:19:29.043854Z","submitted_at":"2024-06-17T19:33:08Z","title":"$\\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-11T03:19:00.831153Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2406.12045"},"observation_digest":"sha256:77ea1930765fb83e051ee514775043c253ce0fa41ede2c7819bc915141fce336","observation_id":"96be1a19-496d-46d0-a3b2-e5dfded3e4a3","resolution":{"observed_at":"2026-05-11T03:19:00.916367Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2406.12793","last_updated":"2024-07-30T03:58:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-11T08:08:09.444352Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2406.12793"},"observation_digest":"sha256:895513c91503378868eb6427286e380b46b1375e96158a88dd2aa2bc349b95fd","observation_id":"7b2b76a0-7c2c-48b3-ba1c-229f1d2a0bc2","resolution":{"observed_at":"2026-05-11T08:08:09.670352Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2406.13352","last_updated":"2024-11-24T22:04:23Z","snapshot_observed_at":"2026-07-06T18:33:32.806635Z","submitted_at":"2024-06-19T08:55:56Z","title":"AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-13T06:35:13.331872Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2406.13352"},"observation_digest":"sha256:1e87c14c6a47a5ba2a27b0b50c1c1b520629c7ffb8060678d5c775b603682129","observation_id":"b2e74fb0-7a93-444d-a374-5196be604bfa","resolution":{"observed_at":"2026-05-13T06:35:13.528496Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2407.08608","last_updated":"2024-07-12T22:15:02Z","snapshot_observed_at":"2026-07-06T18:44:53.587276Z","submitted_at":"2024-07-11T15:44:48Z","title":"FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-20T19:45:36.337956Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2407.08608"},"observation_digest":"sha256:693b0e9e1abef43e26c06680ea4daad5d1e946e44fc05b7063b889442b1f7612","observation_id":"69da0dce-aabd-49be-88a2-e75997e09d22","resolution":{"observed_at":"2026-05-20T19:45:36.469659Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2407.21787","last_updated":"2024-12-30T19:03:24Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:57:25Z","title":"Large Language Monkeys: Scaling Inference Compute with Repeated Sampling","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-12T04:42:23.297389Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2407.21787"},"observation_digest":"sha256:721a2d53baca65b189190a8f8a834adbb39e33bc89a29b96c53056f0f9c2319d","observation_id":"87ff9e92-0c87-4170-8373-b0949ac41250","resolution":{"observed_at":"2026-05-12T04:42:23.497100Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2408.00724","last_updated":"2025-03-03T07:53:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-01T17:16:04Z","title":"Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models","version":3},"reference_index":167,"source":"arxiv_source","source_observed_at":"2026-05-18T06:38:36.517935Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2408.00724"},"observation_digest":"sha256:4117fd7645573c39900b950c2d0d1ee98267bbc7105fc23b01b51350f8614bd0","observation_id":"f0274aa6-0edd-4faf-8a24-3247582397d6","resolution":{"observed_at":"2026-05-18T06:38:36.910856Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2409.00557","last_updated":"2026-04-29T05:49:57Z","snapshot_observed_at":"2026-07-06T19:08:44.269514Z","submitted_at":"2024-08-31T23:06:12Z","title":"Learning to Ask: When LLM Agents Meet Unclear Instruction","version":4},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-23T21:08:42.276002Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2409.00557"},"observation_digest":"sha256:5da50a0505206a1fc1099c60faeed49eb24c8eca52d3147809631585cd7a8472","observation_id":"a54f16c6-7e7e-42c4-8b44-71c6ea99295f","resolution":{"observed_at":"2026-05-23T21:13:28.089677Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2410.02644","last_updated":"2025-05-30T03:50:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-03T16:30:47Z","title":"Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents","version":4},"reference_index":156,"source":"arxiv_source","source_observed_at":"2026-05-12T13:36:57.011451Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2410.02644"},"observation_digest":"sha256:d7b1e0f9691630f3c6c58abdb8191062dccb97dd94c49cb89a1749d95c09895b","observation_id":"06375812-57b9-4305-aa86-0489f303e32b","resolution":{"observed_at":"2026-05-12T13:36:57.221102Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2410.04047","last_updated":"2026-04-10T06:16:18Z","snapshot_observed_at":"2026-07-06T19:28:18.775189Z","submitted_at":"2024-10-05T06:04:19Z","title":"TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis","version":6},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-23T19:45:39.130509Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2410.04047"},"observation_digest":"sha256:7f3bb85c9d7e8e629f455dc12171def627408a447ecbc1b5569e47a96f04f244","observation_id":"8686a7e5-32d4-4b21-937a-9777a730d4bc","resolution":{"observed_at":"2026-05-23T19:45:47.185723Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2410.09024","last_updated":"2025-04-18T14:30:31Z","snapshot_observed_at":"2026-08-02T12:38:54.249632Z","submitted_at":"2024-10-11T17:39:22Z","title":"AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-14T01:35:50.992477Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2410.09024"},"observation_digest":"sha256:ed3e7cb4a70a32d44be9f8ae8f5d9406b1e624c4af1559d061c4bed37dd489a7","observation_id":"15ca40ab-63a7-4ec8-9f26-494cf125be63","resolution":{"observed_at":"2026-05-14T01:35:51.107555Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2410.23218","last_updated":"2024-10-30T17:10:19Z","snapshot_observed_at":"2026-08-05T06:30:40.974506Z","submitted_at":"2024-10-30T17:10:19Z","title":"OS-ATLAS: A Foundation Action Model for Generalist GUI Agents","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-05-13T09:29:27.173784Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2410.23218"},"observation_digest":"sha256:2db943db450184c24cdc19c32acd8ac4722ab92b4b86049f91a548c5b6e62a1a","observation_id":"6d515b37-b537-4921-83f4-da04f8411be3","resolution":{"observed_at":"2026-05-13T09:29:27.626093Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2411.10446","last_updated":"2026-04-16T20:29:38Z","snapshot_observed_at":"2026-08-02T10:07:28.951415Z","submitted_at":"2024-11-15T18:59:51Z","title":"VeriGraph: Scene Graphs for Execution Verifiable Robot Planning","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-23T17:12:31.645346Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2411.10446"},"observation_digest":"sha256:6e6862353d3f8b9d5e82eced488d91e8def687279c04b919cd5cc2ed994a515c","observation_id":"b29af0c8-2c05-40cc-9c7f-d172e254396a","resolution":{"observed_at":"2026-05-23T17:13:13.771357Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2411.18279","last_updated":"2025-05-06T15:08:00Z","snapshot_observed_at":"2026-07-06T19:57:55.925634Z","submitted_at":"2024-11-27T12:13:39Z","title":"Large Language Model-Brained GUI Agents: A Survey","version":12},"reference_index":260,"source":"pdf_text","source_observed_at":"2026-05-19T11:08:27.472508Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2411.18279"},"observation_digest":"sha256:aee4cee27b3c9f70e68a4fb9c25068eb2baabe115647862de0d6bb034a8a9065","observation_id":"3ada8854-5cbf-422f-9cf6-c783c7f92fec","resolution":{"observed_at":"2026-05-19T11:08:27.864702Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2501.05366","last_updated":"2025-01-09T16:48:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-09T16:48:17Z","title":"Search-o1: Agentic Search-Enhanced Large Reasoning Models","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-13T17:36:27.515468Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2501.05366"},"observation_digest":"sha256:f197bd3ba90452310157169b4e5e3e7e7ba3f39bc8f1ca11e84299969d9b21c6","observation_id":"27340eac-2d4f-421c-aa94-107f3bdf577b","resolution":{"observed_at":"2026-05-13T17:36:27.627779Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2501.09686","last_updated":"2025-01-23T08:44:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-16T17:37:58Z","title":"Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models","version":3},"reference_index":175,"source":"pdf_text","source_observed_at":"2026-05-15T21:20:59.128986Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2501.09686"},"observation_digest":"sha256:aea265612c6d9e57149da5a0d49df2ef9d932e5cefa09508bf71e1f857ba91da","observation_id":"c4715ffb-3d31-428e-a180-95608cfb9278","resolution":{"observed_at":"2026-05-15T21:20:59.394108Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2502.09891","last_updated":"2026-05-11T03:00:07Z","snapshot_observed_at":"2026-07-06T20:36:26.822412Z","submitted_at":"2025-02-14T03:28:36Z","title":"ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation","version":4},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-05-23T03:28:13.313028Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2502.09891"},"observation_digest":"sha256:2dcdaf6b670b3648d6bc7d5e664c9295bceb7275023801d105b938f6638319fc","observation_id":"e923df73-ed23-44a0-a496-a803a1970b90","resolution":{"observed_at":"2026-05-23T03:32:28.455285Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2503.09572","last_updated":"2025-04-22T17:56:22Z","snapshot_observed_at":"2026-08-04T02:37:26.383513Z","submitted_at":"2025-03-12T17:40:52Z","title":"Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-17T21:32:18.491541Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2503.09572"},"observation_digest":"sha256:ae57d7ed6f94604d44ea6e7e6c02db7949c149768540474b15f99b3b709125b7","observation_id":"b322c630-26eb-4fd8-8ff0-e219ddffcc37","resolution":{"observed_at":"2026-05-17T21:32:18.533248Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2504.01990","last_updated":"2025-08-02T12:44:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-31T18:00:29Z","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","version":2},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-05-22T21:39:49.832151Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2504.01990"},"observation_digest":"sha256:272c282483670a4a34cc638544721a4f2f9b81578c74cdf2c9c094bc7c8c5fb6","observation_id":"6f0003fd-7ec3-4642-ba96-d83c607f384d","resolution":{"observed_at":"2026-05-22T21:42:10.427580Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2504.15965","last_updated":"2025-04-23T13:47:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-22T15:05:04Z","title":"From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-17T11:05:09.588491Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2504.15965"},"observation_digest":"sha256:d900cb59298312d781c6e24d32f27fc16fad4759daa4bb986027a674a403b361","observation_id":"b8ddcc0c-b8b5-4b5f-9cd5-5fdc5932c6d1","resolution":{"observed_at":"2026-05-17T11:05:10.030601Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2504.19793","last_updated":"2025-08-24T03:28:21Z","snapshot_observed_at":"2026-08-01T07:24:09.967062Z","submitted_at":"2025-04-28T13:36:43Z","title":"Prompt Injection Attack to Tool Selection in LLM Agents","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-16T17:08:28.933831Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2504.19793"},"observation_digest":"sha256:675d213e5021152f7f07021f931adb39e52eb29904def309143b5c72914b7221","observation_id":"c2040993-10d3-49c9-a031-418d6dbfb24e","resolution":{"observed_at":"2026-05-16T17:08:29.112714Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2506.06921","last_updated":"2026-04-07T04:29:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-07T21:00:01Z","title":"Teaching Astronomy with Large Language Models","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-19T10:14:51.134936Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.06921"},"observation_digest":"sha256:9694ea8bffff6ac314f2eaa11606e643ff2b0bccf9b217528f0d63d4a57f9d53","observation_id":"33e502f7-3a55-4fac-996c-27f0f9d94e79","resolution":{"observed_at":"2026-05-19T10:17:15.533556Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-07T00:59:11.052619Z","title":"React: Synergizing reasoning and acting in language models.arXiv preprint arXiv:2210.03629, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.12270","last_updated":"2025-06-13T22:50:12Z","snapshot_observed_at":"2026-08-07T00:52:13.692304Z","submitted_at":"2025-06-13T22:50:12Z","title":"Cloud Infrastructure Management in the Age of AI Agents","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T00:59:11.052619Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.12270"},"observation_digest":"sha256:3145c274ec9cd917d37cc7594ab6ef62cb64d047bbb3960fa043042cc70b117e","observation_id":"47664c11-8953-44ac-b355-8f43ea575abf","resolution":{"observed_at":"2026-08-07T00:59:11.052619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-07T00:56:39.750786Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.12331","last_updated":"2025-06-14T03:44:09Z","snapshot_observed_at":"2026-08-07T00:49:59.673126Z","submitted_at":"2025-06-14T03:44:09Z","title":"IndoorWorld: Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T00:56:39.750786Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.12331"},"observation_digest":"sha256:4fa311fbe12d5df10b2761f43046c031f4f25c07dceabfcf2de74ef463c9bfc5","observation_id":"a4a6c735-187b-465b-acb0-d3225eb6b0ef","resolution":{"observed_at":"2026-08-07T00:56:39.750786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-07T00:48:47.684944Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.12607","last_updated":"2025-06-14T19:02:07Z","snapshot_observed_at":"2026-08-07T00:42:57.472715Z","submitted_at":"2025-06-14T19:02:07Z","title":"Towards Building General Purpose Embedding Models for Industry 4.0 Agents","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T00:48:47.684944Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.12607"},"observation_digest":"sha256:53ee31254027b21b420ac90c7cb67b7680f43a534293dbe20f159fdcac8dc7e9","observation_id":"b4837ce1-3116-4004-9982-05cf749bada3","resolution":{"observed_at":"2026-08-07T00:48:47.684944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-07T00:38:37.551268Z","title":"React:Synergizingreasoningandactinginlan- guage models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12949","last_updated":"2025-06-15T19:23:38Z","snapshot_observed_at":"2026-08-07T00:34:41.144741Z","submitted_at":"2025-06-15T19:23:38Z","title":"eLog analysis for accelerators: status and future outlook","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:38:37.551268Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.12949"},"observation_digest":"sha256:5af463639fda201754030850a69bffe20f7b70f5cc0dd560499017a56f2fe38d","observation_id":"070e0e55-5837-405d-acf5-0192e306c545","resolution":{"observed_at":"2026-08-07T00:38:37.551268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T23:59:47.737056Z","title":"React: Synergizing reasoning and acting in language models.arXiv preprint arXiv:2210.03629,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15451","last_updated":"2025-06-18T13:24:04Z","snapshot_observed_at":"2026-08-06T23:53:19.361837Z","submitted_at":"2025-06-18T13:24:04Z","title":"AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:59:47.737056Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.15451"},"observation_digest":"sha256:7e55a41058ab46565483afca4907aab18cfefe6634773441cdbdfba02e6b6e54","observation_id":"f0ee0688-8c94-463c-9ea4-2ffbe4efc7bf","resolution":{"observed_at":"2026-08-06T23:59:47.737056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-07T00:00:14.952457Z","title":"https://doi.org/10.48550/arXiv.2210.03629 arXiv:2210.03629 [cs]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15624","last_updated":"2025-06-18T16:53:38Z","snapshot_observed_at":"2026-08-06T23:49:53.935902Z","submitted_at":"2025-06-18T16:53:38Z","title":"The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T00:00:14.952457Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.15624"},"observation_digest":"sha256:87ab330740988b2f64368a489ae3116aad69628294e2bf4a4d94e55bbca1a1a5","observation_id":"af796e9a-cc3b-4556-b9d9-5060ee7a2d75","resolution":{"observed_at":"2026-08-07T00:00:14.952457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2506.16042","last_updated":"2026-05-18T17:55:59Z","snapshot_observed_at":"2026-08-02T08:51:24.809409Z","submitted_at":"2025-06-19T05:26:40Z","title":"OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agents","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-22T01:22:21.193665Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.16042"},"observation_digest":"sha256:cdb8070defac33638c87e194fbd12266e7a5dcc51911fb79260ad063c119c97c","observation_id":"cd4aabe5-5326-4b84-9e2b-c9440ccf4d98","resolution":{"observed_at":"2026-05-22T01:24:30.467999Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T23:41:46.156989Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16586","last_updated":"2025-06-19T20:22:47Z","snapshot_observed_at":"2026-08-06T23:35:04.524752Z","submitted_at":"2025-06-19T20:22:47Z","title":"AI-Driven Tools in Modern Software Quality Assurance: An Assessment of Benefits, Challenges, and Future Directions","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.156989Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.16586"},"observation_digest":"sha256:4be47666181e32fc9119ea580626dec146db86c778f31f038b7b761448d54598","observation_id":"b8f30a2d-e59e-4c4d-9ec8-50fa529a6532","resolution":{"observed_at":"2026-08-06T23:41:46.156989Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T23:42:00.165379Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16813","last_updated":"2025-06-20T08:03:36Z","snapshot_observed_at":"2026-08-06T23:34:43.531129Z","submitted_at":"2025-06-20T08:03:36Z","title":"Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T23:42:00.165379Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.16813"},"observation_digest":"sha256:35a863cb8278a261c7e8cf8cae5e1b8939c3e5eee83495e0f0d18fde9710940b","observation_id":"759bc185-4c1b-4b43-ac91-a28102c5704a","resolution":{"observed_at":"2026-08-06T23:42:00.165379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T23:35:06.199616Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.17644","last_updated":"2025-06-21T08:56:20Z","snapshot_observed_at":"2026-08-06T23:27:55.914747Z","submitted_at":"2025-06-21T08:56:20Z","title":"Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:06.199616Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.17644"},"observation_digest":"sha256:e81bbc48bbfe7e96fcbdd59c69dc6f9c1bd5bad7d5b74569c06036bff8557086","observation_id":"1d8fa8c4-2b69-43ef-84e7-60eb88c035c4","resolution":{"observed_at":"2026-08-06T23:35:06.199616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T23:26:56.986378Z","title":"React: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18096","last_updated":"2025-09-03T15:32:23Z","snapshot_observed_at":"2026-08-06T23:20:46.744749Z","submitted_at":"2025-06-22T16:52:48Z","title":"Deep Research Agents: A Systematic Examination And Roadmap","version":2},"reference_index":127,"source":"pdf_text","source_observed_at":"2026-08-06T23:26:56.986378Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.18096"},"observation_digest":"sha256:0a972887e6894d2fba88e81fb2a7c8b7067124489ed56ddc6dbe965dac9005aa","observation_id":"0ff27bc2-ba4e-4012-b634-8171be345f0c","resolution":{"observed_at":"2026-08-06T23:26:56.986378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T23:09:53.862291Z","title":"React: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.19592","last_updated":"2025-06-30T14:40:24Z","snapshot_observed_at":"2026-08-06T23:04:22.569221Z","submitted_at":"2025-06-24T13:02:06Z","title":"Adaptive Domain Modeling with Language Models: A Multi-Agent Approach to Task Planning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:09:53.862291Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.19592"},"observation_digest":"sha256:1bf3cbeb68734fbc2a43ac74b972eae30942e4ee145c9965001530bcb3c6eea9","observation_id":"87e7efcf-5f2f-489c-8171-c31a700d27a9","resolution":{"observed_at":"2026-08-06T23:09:53.862291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T23:03:54.472764Z","title":"React: Synergizing reasoning and acting in language models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.19967","last_updated":"2025-06-24T19:31:03Z","snapshot_observed_at":"2026-08-06T22:57:34.785947Z","submitted_at":"2025-06-24T19:31:03Z","title":"Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T23:03:54.472764Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.19967"},"observation_digest":"sha256:36ee1aab39ae9a02b296f98620462e28c0868593d4a21fd36d56bd806da3772f","observation_id":"660312bf-df10-4a0c-8261-b51a496d75b6","resolution":{"observed_at":"2026-08-06T23:03:54.472764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2506.20911","last_updated":"2026-05-06T17:42:17Z","snapshot_observed_at":"2026-07-06T21:47:49.078141Z","submitted_at":"2025-06-26T00:33:43Z","title":"FaSTA$^*$: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-19T08:17:08.223736Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.20911"},"observation_digest":"sha256:9f3ece438cb0045cff7181d60959ff1976ba8e9ae29531807fc9e801c49050f6","observation_id":"8479ea26-9fbe-4190-ac67-c4874d9176da","resolution":{"observed_at":"2026-05-19T08:17:10.739043Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T22:39:59.832957Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.21030","last_updated":"2025-07-16T03:41:36Z","snapshot_observed_at":"2026-08-07T03:10:55.333158Z","submitted_at":"2025-06-26T06:10:02Z","title":"STEP Planner: Constructing cross-hierarchical subgoal tree as an embodied long-horizon task planner","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:59.832957Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.21030"},"observation_digest":"sha256:ebf048e7b120f012ce955e46899a1ac709143fb8497c4e34aa6a947270f73248","observation_id":"30cfa82d-c8da-49b5-ae7a-a4ada43aa366","resolution":{"observed_at":"2026-08-06T22:39:59.832957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T22:34:07.760328Z","title":"React: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.21250","last_updated":"2025-06-26T13:35:53Z","snapshot_observed_at":"2026-08-06T22:27:01.217524Z","submitted_at":"2025-06-26T13:35:53Z","title":"ACTLLM: Action Consistency Tuned Large Language Model","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:34:07.760328Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.21250"},"observation_digest":"sha256:ae34581b18de3b86d665892550b3f66f663394c98fc7bfb1ea3f05d337e21766","observation_id":"3e38b1c1-b8e2-416f-bf70-461e69ae78ae","resolution":{"observed_at":"2026-08-06T22:34:07.760328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T22:23:08.103509Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21762","last_updated":"2025-06-26T20:40:20Z","snapshot_observed_at":"2026-08-06T22:17:08.611094Z","submitted_at":"2025-06-26T20:40:20Z","title":"ViStruct: Simulating Expert-Like Reasoning Through Task Decomposition and Visual Attention Cues","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T22:23:08.103509Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.21762"},"observation_digest":"sha256:b5793a97aa227806e7a1753fb4e2276b5cf2ac08e63623e9c52325e165f26af8","observation_id":"8dde1d8c-d701-442a-b0bc-1ba295734169","resolution":{"observed_at":"2026-08-06T22:23:08.103509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T21:56:24.236553Z","title":"React: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.23080","last_updated":"2025-07-10T09:48:50Z","snapshot_observed_at":"2026-08-06T21:48:03.092081Z","submitted_at":"2025-06-29T04:14:19Z","title":"AI's Euclid's Elements Moment: From Language Models to Computable Thought","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:56:24.236553Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.23080"},"observation_digest":"sha256:3f2c93f74bf25efe459446ae80487bec31012506a4be65d3d562249af835a698","observation_id":"fa286306-63ca-402f-93ec-a287f5df4d6a","resolution":{"observed_at":"2026-08-06T21:56:24.236553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T21:53:44.420003Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23139","last_updated":"2025-06-29T08:34:59Z","snapshot_observed_at":"2026-08-06T21:45:59.953011Z","submitted_at":"2025-06-29T08:34:59Z","title":"Benchmarking Deep Search over Heterogeneous Enterprise Data","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T21:53:44.420003Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.23139"},"observation_digest":"sha256:f026e4a847eebc7b9912208076ba6b1b2fc2cf504f96ba4794a7c0eedea6e8be","observation_id":"050fce0b-1bed-469c-93ae-773208d6b8e3","resolution":{"observed_at":"2026-08-06T21:53:44.420003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T21:45:06.449685Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.23485","last_updated":"2025-06-30T03:15:50Z","snapshot_observed_at":"2026-08-06T21:38:45.209248Z","submitted_at":"2025-06-30T03:15:50Z","title":"Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:06.449685Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.23485"},"observation_digest":"sha256:bd0e1097cbc7c924d9dbfef93e4d39949106794540ff9db8c3d00cadaae3bda9","observation_id":"3e7eb7a0-da0c-41ed-9399-5dbd1e4e5d0e","resolution":{"observed_at":"2026-08-06T21:45:06.449685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T21:38:13.350415Z","title":"React: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00092","last_updated":"2025-06-30T09:53:41Z","snapshot_observed_at":"2026-08-06T21:32:11.201568Z","submitted_at":"2025-06-30T09:53:41Z","title":"Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T21:38:13.350415Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.00092"},"observation_digest":"sha256:9c416a33ad016701abd1a2b7c8d1925e2a553aba8c68b6d9a63d260c0df5b845","observation_id":"0fca2900-3358-467d-974d-3adfe0f460b0","resolution":{"observed_at":"2026-08-06T21:38:13.350415Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T21:26:43.033169Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:43.033169Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:25b6e58f6b1c7d677c10bd91714db635e52ee3a385ddfdfc5c7acf4e37dd10a3","observation_id":"f20a59b9-2dfc-4eea-a253-817954e380d4","resolution":{"observed_at":"2026-08-06T21:26:43.033169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T21:23:23.034448Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00355","last_updated":"2025-07-01T01:01:54Z","snapshot_observed_at":"2026-08-06T21:15:48.959874Z","submitted_at":"2025-07-01T01:01:54Z","title":"Question Decomposition for Retrieval-Augmented Generation","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T21:23:23.034448Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.00355"},"observation_digest":"sha256:9738868f00a8c2e74300e189ebb970bd5db7bbe792e84198590380becb973b9f","observation_id":"5015292e-78bf-4a38-b2e4-4ab2927de593","resolution":{"observed_at":"2026-08-06T21:23:23.034448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2507.00432","last_updated":"2025-10-20T14:27:09Z","snapshot_observed_at":"2026-07-06T21:50:16.465983Z","submitted_at":"2025-07-01T05:23:05Z","title":"Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning","version":2},"reference_index":105,"source":"arxiv_source","source_observed_at":"2026-05-19T01:01:09.840919Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.00432"},"observation_digest":"sha256:bb11b5bcc91c8234edcd9e3c502f36619bdfc4454121b3ab4e9c764b8dcfd3cf","observation_id":"8555c84a-59f8-4d3d-9853-56c464fa92fd","resolution":{"observed_at":"2026-05-19T01:01:10.196463Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T21:22:43.858374Z","title":"React: Synergizing reasoning and acting in language models // arXiv preprint arXiv:2210.03629","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00487","last_updated":"2025-07-02T04:35:44Z","snapshot_observed_at":"2026-08-06T21:11:41.074985Z","submitted_at":"2025-07-01T07:02:26Z","title":"MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T21:22:43.858374Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.00487"},"observation_digest":"sha256:99ef9813b77dff9a65d9773c293b58b0370418183c5074a450f7a62c87218109","observation_id":"74021e78-7f8b-4f6b-b6f4-3321ce963741","resolution":{"observed_at":"2026-08-06T21:22:43.858374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T21:07:00.572050Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00938","last_updated":"2025-08-13T09:05:05Z","snapshot_observed_at":"2026-08-06T20:59:34.677575Z","submitted_at":"2025-07-01T16:43:57Z","title":"WebArXiv: Evaluating Multimodal Agents on Time-Invariant arXiv Tasks","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T21:07:00.572050Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.00938"},"observation_digest":"sha256:05af9be3a2d1d6b43c7e3a99628fe162ab9226ce471a9f2e19e1fd5e8ff736cc","observation_id":"2aaccea3-73b7-4a7e-8ac4-1d5e0bc94222","resolution":{"observed_at":"2026-08-06T21:07:00.572050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T20:55:09.879680Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01489","last_updated":"2025-07-02T08:49:43Z","snapshot_observed_at":"2026-08-06T20:47:39.565655Z","submitted_at":"2025-07-02T08:49:43Z","title":"Agent-as-Tool: A Study on the Hierarchical Decision Making with Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:55:09.879680Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.01489"},"observation_digest":"sha256:1c63e78f9b788ce6a7fd248b0c935173a9535b09b471204b5f66f2f625338836","observation_id":"5a78b56a-609d-4642-bbdd-b527cbff4f49","resolution":{"observed_at":"2026-08-06T20:55:09.879680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T20:36:41.435468Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.02353","last_updated":"2025-07-03T06:37:55Z","snapshot_observed_at":"2026-08-06T20:29:19.243314Z","submitted_at":"2025-07-03T06:37:55Z","title":"OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T20:36:41.435468Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.02353"},"observation_digest":"sha256:ec825e20352f871ba18aa7feb561317e59fb33437d2b7cd91db9493f8fcbac86","observation_id":"0623a1ce-5239-43c1-9f90-7d73ca158f17","resolution":{"observed_at":"2026-08-06T20:36:41.435468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T20:24:28.287337Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.02760","last_updated":"2025-07-03T16:21:14Z","snapshot_observed_at":"2026-08-06T20:19:17.569396Z","submitted_at":"2025-07-03T16:21:14Z","title":"Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:24:28.287337Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.02760"},"observation_digest":"sha256:f4cae439ccf28075188470b467a82f5b2746814cf4faa8aa0ef7fb1cb6b9a0d3","observation_id":"b6ec1be2-c191-4b09-8a17-bd61e879c1c9","resolution":{"observed_at":"2026-08-06T20:24:28.287337Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2507.02935","last_updated":"2026-04-17T02:59:49Z","snapshot_observed_at":"2026-07-06T21:51:57.075589Z","submitted_at":"2025-06-26T20:44:12Z","title":"Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-19T07:23:56.627581Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.02935"},"observation_digest":"sha256:262470e6eb418ebbb63fc1709a4b503bbef87d2c3835643b22dce0ae1fbba08d","observation_id":"704824cc-9f30-4a08-b4d4-3c69ffa5a8db","resolution":{"observed_at":"2026-05-19T07:27:09.120598Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T20:19:20.475651Z","title":"React: Syner- gizing reasoning and acting in language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.03254","last_updated":"2025-07-04T02:20:19Z","snapshot_observed_at":"2026-08-06T20:12:19.896362Z","submitted_at":"2025-07-04T02:20:19Z","title":"CodeAgents: A Token-Efficient Framework for Codified Multi-Agent Reasoning in LLMs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:19:20.475651Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.03254"},"observation_digest":"sha256:9b6171e472aa5356b46ad72ba167365a57a5076c5bc6354ca293ef6ffdac1d4d","observation_id":"6aa398d1-cbc9-4d72-9ad6-2aa8b986720b","resolution":{"observed_at":"2026-08-06T20:19:20.475651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T20:15:51.654026Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.03435","last_updated":"2025-07-04T09:48:02Z","snapshot_observed_at":"2026-08-06T20:07:55.388237Z","submitted_at":"2025-07-04T09:48:02Z","title":"ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T20:15:51.654026Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.03435"},"observation_digest":"sha256:32a78ad121e1914db5557e70de73434d96d132dc67e2f7364be3680b7f150cb4","observation_id":"1089a6d9-ea59-4a13-8497-9e13dae1c892","resolution":{"observed_at":"2026-08-06T20:15:51.654026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T20:09:51.536404Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.03730","last_updated":"2025-07-04T17:37:15Z","snapshot_observed_at":"2026-08-06T20:11:09.340750Z","submitted_at":"2025-07-04T17:37:15Z","title":"Less is More: Empowering GUI Agent with Context-Aware Simplification","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T20:09:51.536404Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.03730"},"observation_digest":"sha256:14239c380b98fc70a979602db1887a7dedcb7615a92fc11e92812c993f2fde0d","observation_id":"d9798bdd-4b3e-4216-b93b-356c4e7b30c0","resolution":{"observed_at":"2026-08-06T20:09:51.536404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T19:29:52.169152Z","title":"React: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.05445","last_updated":"2025-07-07T19:50:21Z","snapshot_observed_at":"2026-08-06T19:23:54.638215Z","submitted_at":"2025-07-07T19:50:21Z","title":"A Systematization of Security Vulnerabilities in Computer Use Agents","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:29:52.169152Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.05445"},"observation_digest":"sha256:7081ed27d0ce7eda410e55cff1dffa265eaf7be9a6d7bd9191f7e274062534bf","observation_id":"85b7d1bc-eae4-4750-85ac-b64822e7cbcf","resolution":{"observed_at":"2026-08-06T19:29:52.169152Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T19:12:22.923937Z","title":"React: Synergizing reasoning and acting in language models, 2023,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06323","last_updated":"2025-07-08T18:24:28Z","snapshot_observed_at":"2026-08-06T19:05:12.143746Z","submitted_at":"2025-07-08T18:24:28Z","title":"Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:12:22.923937Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.06323"},"observation_digest":"sha256:e28160a54bde105c7f4eec4f4bf5f64eab100e923453a685d90c33dbff865a10","observation_id":"e6feb5b5-c997-49a9-b090-13f7ab1e35c7","resolution":{"observed_at":"2026-08-06T19:12:22.923937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T19:06:28.592204Z","title":"React: Syn- ergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06520","last_updated":"2025-07-09T03:40:56Z","snapshot_observed_at":"2026-08-06T18:59:32.941407Z","submitted_at":"2025-07-09T03:40:56Z","title":"Gradientsys: A Multi-Agent LLM Scheduler with ReAct Orchestration","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:28.592204Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.06520"},"observation_digest":"sha256:dbb48294e8faee30837ad6d8df20924a628914aa47f5d56f900b4375c84a0f6a","observation_id":"0590a17f-9a2a-4c4c-b5bd-e13df545a91d","resolution":{"observed_at":"2026-08-06T19:06:28.592204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T18:33:52.019252Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.07887","last_updated":"2025-07-10T16:17:40Z","snapshot_observed_at":"2026-08-06T18:27:38.870179Z","submitted_at":"2025-07-10T16:17:40Z","title":"Automating MD simulations for Proteins using Large language Models: NAMD-Agent","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T18:33:52.019252Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.07887"},"observation_digest":"sha256:c7313331fff492bf4e1c1594df68b773e9ab17f1a1b7887e2fd893a84ed48585","observation_id":"a3db284e-66c9-4bec-bace-cc25ad808283","resolution":{"observed_at":"2026-08-06T18:33:52.019252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T19:05:02.543793Z","title":"React: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2022},"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":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:02.543793Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.08034"},"observation_digest":"sha256:2a66ddb867ebb7e60209b1f8b5a5dbb547168ee374162d9aac622ce21ea7d4e3","observation_id":"c42860e7-5794-40a9-a582-51ecc5345a42","resolution":{"observed_at":"2026-08-06T19:05:02.543793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T17:24:07.106990Z","title":"React: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.11014","last_updated":"2025-07-15T06:14:45Z","snapshot_observed_at":"2026-08-06T17:16:27.403210Z","submitted_at":"2025-07-15T06:14:45Z","title":"SIMCODE: A Benchmark for Natural Language to ns-3 Network Simulation Code Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:24:07.106990Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.11014"},"observation_digest":"sha256:a4a9c2152632d937922966d64da65cfcf65447b6fce8c266880bc5bc3d09699f","observation_id":"d0941fb3-31cf-49ae-b655-443df8e9e00c","resolution":{"observed_at":"2026-08-06T17:24:07.106990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T17:17:29.791883Z","title":"React: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.11222","last_updated":"2025-07-15T11:50:25Z","snapshot_observed_at":"2026-08-06T17:10:50.084446Z","submitted_at":"2025-07-15T11:50:25Z","title":"An Agentic Flow for Finite State Machine Extraction using Prompt Chaining","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.791883Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.11222"},"observation_digest":"sha256:964281b12bdc5c7401b7354e1390e411936cd823888d8031ecd88c39a43b5f07","observation_id":"2331e0fa-3f93-4031-bd4c-d3e04b1959c8","resolution":{"observed_at":"2026-08-06T17:17:29.791883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T17:15:44.262596Z","title":"React: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.11310","last_updated":"2025-07-15T13:42:32Z","snapshot_observed_at":"2026-08-06T17:08:40.759428Z","submitted_at":"2025-07-15T13:42:32Z","title":"LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:15:44.262596Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.11310"},"observation_digest":"sha256:69cd464f52d377435ae95286d447ac650397f4b32f97fe1c4083a74ed3088df2","observation_id":"0c574154-9b63-42a6-9dc2-49aef673a5b7","resolution":{"observed_at":"2026-08-06T17:15:44.262596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T17:11:34.005200Z","title":"berkeley.edu/blogs/8_berkeley_function_calling_leaderboard.html","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.11527","last_updated":"2025-07-15T17:56:04Z","snapshot_observed_at":"2026-08-06T17:04:24.553170Z","submitted_at":"2025-07-15T17:56:04Z","title":"DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:11:34.005200Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.11527"},"observation_digest":"sha256:1029f3fd2144ca844fb160f8af34c22485a5fb20ff9aeb134fd0e7b407d97269","observation_id":"211882c0-9401-42ee-a152-4b27eb61ac31","resolution":{"observed_at":"2026-08-06T17:11:34.005200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T16:51:56.079892Z","title":"Yao et al","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12425","last_updated":"2025-07-16T17:13:06Z","snapshot_observed_at":"2026-08-06T16:43:38.785449Z","submitted_at":"2025-07-16T17:13:06Z","title":"Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal Data","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:51:56.079892Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.12425"},"observation_digest":"sha256:7954dfee1937037803df4ddd8f02fc06d2bf573bbe2d7674ae3dfc4e572ff3bb","observation_id":"82c1a694-5bcd-467d-af74-2018a87a2c15","resolution":{"observed_at":"2026-08-06T16:51:56.079892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T17:29:28.415355Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12484","last_updated":"2025-07-14T20:35:16Z","snapshot_observed_at":"2026-08-06T17:22:59.512434Z","submitted_at":"2025-07-14T20:35:16Z","title":"AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:29:28.415355Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.12484"},"observation_digest":"sha256:51010102aa7632c7ab0647b3c2b1199509cbae7b94907a43bb274aa7249a12b1","observation_id":"523cc9d4-8944-4a95-a880-72704bb7acba","resolution":{"observed_at":"2026-08-06T17:29:28.415355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T16:26:36.964876Z","title":"ReAct: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13511","last_updated":"2025-07-17T19:41:09Z","snapshot_observed_at":"2026-08-06T16:58:51.460985Z","submitted_at":"2025-07-17T19:41:09Z","title":"GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:36.964876Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.13511"},"observation_digest":"sha256:7e66cfc89ca3d71f547e2b43db32ed8d713a40e0256924dd5787d20bba228dc5","observation_id":"3a970184-0ea0-417a-9b43-b56e5d46db54","resolution":{"observed_at":"2026-08-06T16:26:36.964876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2507.14201","last_updated":"2026-05-01T04:31:46Z","snapshot_observed_at":"2026-08-03T00:52:00.145580Z","submitted_at":"2025-07-14T17:06:26Z","title":"ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-19T04:37:33.942379Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.14201"},"observation_digest":"sha256:147796c08e2f6888306659508919d9d17f06be545cfaaf3bcd68fcf42a862919","observation_id":"fa7349a9-805b-4c2e-b3ff-6e8e7cd830ee","resolution":{"observed_at":"2026-05-19T04:42:04.758901Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T17:35:48.576790Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.14202","last_updated":"2025-07-14T17:41:12Z","snapshot_observed_at":"2026-08-06T17:26:43.433203Z","submitted_at":"2025-07-14T17:41:12Z","title":"PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-06T17:35:48.576790Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.14202"},"observation_digest":"sha256:d6cc8d9f68ca877b2afe17fbd016b89c9add8a88cc06dab74ae006d432b085dc","observation_id":"72c27dd0-14f0-497b-baa6-8cddeb7a5a7a","resolution":{"observed_at":"2026-08-06T17:35:48.576790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T16:14:08.565734Z","title":"React: Synergizing reasoning and acting in language models, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.14295","last_updated":"2025-08-22T16:49:10Z","snapshot_observed_at":"2026-08-06T15:57:18.677408Z","submitted_at":"2025-07-18T18:07:38Z","title":"A Simple \"Try Again\" Can Elicit Multi-Turn LLM Reasoning","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T16:14:08.565734Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.14295"},"observation_digest":"sha256:e89f875acb558b1751c60d25aee2606f6ca974cae6951399d7029305c8760995","observation_id":"86811f4b-5b09-410d-a948-d896f4aa6c56","resolution":{"observed_at":"2026-08-06T16:14:08.565734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T16:10:29.159833Z","title":"ReAct: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.14393","last_updated":"2025-07-18T22:46:27Z","snapshot_observed_at":"2026-08-06T15:54:50.729945Z","submitted_at":"2025-07-18T22:46:27Z","title":"Adaptive Multi-Agent Reasoning via Automated Workflow Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:29.159833Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.14393"},"observation_digest":"sha256:ad8821cf32e3595558b0d8c059213640683d5257f7a6469724b3c622b567e1ca","observation_id":"d561dc61-a6b9-4d6e-858a-1bf5ba5c767b","resolution":{"observed_at":"2026-08-06T16:10:29.159833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T15:57:56.291234Z","title":"React: Synergizing reasoning and acting in language models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14513","last_updated":"2025-07-19T07:21:09Z","snapshot_observed_at":"2026-08-06T15:51:27.179102Z","submitted_at":"2025-07-19T07:21:09Z","title":"Amico: An Event-Driven Modular Framework for Persistent and Embedded Autonomy","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T15:57:56.291234Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.14513"},"observation_digest":"sha256:4085f0251b4a5b2382679b53deb4e8bc5ddb1913909aca8e17fc628e24083c60","observation_id":"df73ab73-d7ff-42de-a9e7-4c3b32c9a92d","resolution":{"observed_at":"2026-08-06T15:57:56.291234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T14:56:30.245781Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.17273","last_updated":"2025-07-23T07:18:55Z","snapshot_observed_at":"2026-08-06T14:50:02.367398Z","submitted_at":"2025-07-23T07:18:55Z","title":"Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T14:56:30.245781Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.17273"},"observation_digest":"sha256:7226b019923a6a8db1e0d7bb2d52535427e94cc30439374b3625ee8616296052","observation_id":"01fa9af5-3685-4643-8b45-52d03343be53","resolution":{"observed_at":"2026-08-06T14:56:30.245781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T14:42:25.553080Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.18165","last_updated":"2025-07-24T08:02:35Z","snapshot_observed_at":"2026-08-06T14:36:13.171076Z","submitted_at":"2025-07-24T08:02:35Z","title":"ProactiveVA: Proactive Visual Analytics with LLM-Based UI Agent","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T14:42:25.553080Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.18165"},"observation_digest":"sha256:ce80d429dd67412fba5642c5dc910db460600f09c83ceeebcff6f9601c6e45a1","observation_id":"1a1d9fbb-8589-4e82-9715-f1788ca94ba4","resolution":{"observed_at":"2026-08-06T14:42:25.553080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T14:37:17.508635Z","title":"React: synergizing reasoning and acting in language models (2022),","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.18755","last_updated":"2025-07-24T19:12:32Z","snapshot_observed_at":"2026-08-07T01:39:47.026330Z","submitted_at":"2025-07-24T19:12:32Z","title":"Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T14:37:17.508635Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.18755"},"observation_digest":"sha256:bb3af15b4b82cdc5b758a8e0a5162bee979bb26a6fb55ec67cc21309d2520a8d","observation_id":"81706946-c6de-4f0b-9300-818ceedacf94","resolution":{"observed_at":"2026-08-06T14:37:17.508635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":"2210.03629","doi":"10.48550/arxiv.2210.03629","metadata_source":"pith","pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","venue":"cs.CL","work_id":"407a2351-25f1-497d-b611-f77d0292a8e6","year":2022},"citing_paper":{"arxiv_id":"2507.21035","last_updated":"2026-05-17T21:43:43Z","snapshot_observed_at":"2026-07-06T22:04:01.721229Z","submitted_at":"2025-07-28T17:55:08Z","title":"GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis","version":3},"reference_index":146,"source":"pdf_text","source_observed_at":"2026-05-22T00:37:11.945418Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.21035"},"observation_digest":"sha256:b4d564af3f953fabba0f751de155055422a0131d0265572a9aba2eed07904a2d","observation_id":"654da59a-1d2f-4165-82bc-0ad6d8bcb86e","resolution":{"observed_at":"2026-05-22T00:40:51.221211Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:36.897515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T13:00:16.411777Z","title":", Tow , J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21287","last_updated":"2025-07-28T19:20:04Z","snapshot_observed_at":"2026-08-06T13:00:14.549720Z","submitted_at":"2025-07-28T19:20:04Z","title":"Structured Relevance Assessment for Robust Retrieval-Augmented Language Models","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T13:00:16.411777Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.21287"},"observation_digest":"sha256:5631f4d0aaff23bda6ec726358c7386439e5fbf10d3ccb6b1769a2ceb163561a","observation_id":"cff6c07e-afac-4ffc-9714-49f32812cb37","resolution":{"observed_at":"2026-08-06T13:00:16.411777Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T12:44:21.830769Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21504","last_updated":"2025-07-29T04:57:02Z","snapshot_observed_at":"2026-08-06T15:35:42.279155Z","submitted_at":"2025-07-29T04:57:02Z","title":"Evaluation and Benchmarking of LLM Agents: A Survey","version":1},"reference_index":120,"source":"pdf_text","source_observed_at":"2026-08-06T12:44:21.830769Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.21504"},"observation_digest":"sha256:676b80c2ef08888e5a9e2019e4a1097f0de0973bbd9f14bcfe47f86c7aabcd7a","observation_id":"68d6fa23-56e5-41af-9f19-2054e8ead9fa","resolution":{"observed_at":"2026-08-06T12:44:21.830769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.03629/citation-record","integrity":"/paper/2210.03629/integrity","json":"/paper/2210.03629/citation-record.json","paper":"/paper/2210.03629"},"outbound":[],"paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:2210.03629."}