{"as_of":"2026-08-10T00:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f21f0710af9740d0a9eadfe15ad9c8d3be8a555d77fc2d83ba8f985949a6dc3a","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":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":23,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:42:25.439983Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-06T14:42:25.439983Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.18165","last_updated":"2025-07-24T08:02:35Z","snapshot_observed_at":"2026-08-09T12:54:03.503869Z","submitted_at":"2025-07-24T08:02:35Z","title":"ProactiveVA: Proactive Visual Analytics with LLM-Based UI Agent","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T14:42:25.439983Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2507.18165"},"observation_digest":"sha256:9c5d8d8b64cae74822bebc5f9aa17515944735f4ac2c5c4286223f249b8ad04a","observation_id":"b3a6cc80-2ae3-4762-b0d6-5ec5de24ccc2","resolution":{"observed_at":"2026-08-06T14:42:25.439983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-06T12:53:24.409775Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21389","last_updated":"2025-07-28T23:50:09Z","snapshot_observed_at":"2026-08-09T15:35:01.078131Z","submitted_at":"2025-07-28T23:50:09Z","title":"Teaching Language Models To Gather Information Proactively","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T12:53:24.409775Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2507.21389"},"observation_digest":"sha256:d7bbc969c2cbae4e68365fe7fbb4b692d685d71455b4fbfa81d03805757e5318","observation_id":"c57ab806-3168-4c1c-b9af-74216cc40911","resolution":{"observed_at":"2026-08-06T12:53:24.409775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-06T01:01:38.551062Z","title":"arXiv:2410.12361","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.03991","last_updated":"2025-08-06T00:46:38Z","snapshot_observed_at":"2026-08-09T03:39:46.517509Z","submitted_at":"2025-08-06T00:46:38Z","title":"Galaxy: A Cognition-Centered Framework for Proactive, Privacy-Preserving, and Self-Evolving LLM Agents","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T01:01:38.551062Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2508.03991"},"observation_digest":"sha256:5c72b5bc93f997c0051371882356ab7ffb72cd6b1398b4a57d069295469ea3a6","observation_id":"9ba97994-59f0-4cc4-b265-095907478448","resolution":{"observed_at":"2026-08-06T01:01:38.551062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2508.18167","last_updated":"2026-05-14T18:20:00Z","snapshot_observed_at":"2026-08-04T20:09:49.064679Z","submitted_at":"2025-08-25T16:16:42Z","title":"DiscussLLM: Teaching Large Language Models When to Speak","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-21T22:09:03.740109Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2508.18167"},"observation_digest":"sha256:090beafccb3f1bce20d12b59b9242d447bba9ac3abb869a3cea13541b30d839f","observation_id":"69209e5f-7de0-40b0-b5b0-98701818252f","resolution":{"observed_at":"2026-05-21T22:10:42.335560Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T14:43:16.367718Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.20973","last_updated":"2025-08-28T16:26:44Z","snapshot_observed_at":"2026-08-06T17:08:59.895643Z","submitted_at":"2025-08-28T16:26:44Z","title":"ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T14:43:16.367718Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2508.20973"},"observation_digest":"sha256:857cc2746d7eab96d809f8e1bf85c9374162413db7ff0399561a0dcbedd4b8af","observation_id":"30d0fba8-d25e-4292-9175-e75668d5d107","resolution":{"observed_at":"2026-08-05T14:43:16.367718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2512.06721","last_updated":"2026-05-07T12:58:39Z","snapshot_observed_at":"2026-08-02T13:37:30.485189Z","submitted_at":"2025-12-07T08:21:07Z","title":"ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-17T00:38:54.001341Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2512.06721"},"observation_digest":"sha256:65fe205f8205b9a1245852159e15c6974c20003b858ac16b5187dd6775687db0","observation_id":"35da2c92-2552-41cf-8f57-6e1006d63b45","resolution":{"observed_at":"2026-05-17T00:41:24.029517Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-03T04:54:13.009818Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.04000","last_updated":"2026-08-04T16:43:12Z","snapshot_observed_at":"2026-08-07T23:11:25.596094Z","submitted_at":"2026-02-03T20:37:59Z","title":"After Talking with 1,000 Personas: Learning Preference-Aligned Proactive Assistants From Large-Scale Persona Interactions","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T04:54:13.009818Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2602.04000"},"observation_digest":"sha256:8448b364d66312b467def2e588f9ff22b01349b214d2cb32ef571b57e391b721","observation_id":"2a434c5d-5f29-45ba-a31e-aacd2521ee8e","resolution":{"observed_at":"2026-08-03T04:54:13.009818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2602.21858","last_updated":"2026-05-08T09:18:26Z","snapshot_observed_at":"2026-07-29T15:22:59.258825Z","submitted_at":"2026-02-25T12:32:37Z","title":"ProactiveMobile: A Comprehensive Benchmark for Boosting Proactive Intelligence on Mobile Devices","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-15T19:43:30.394715Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2602.21858"},"observation_digest":"sha256:d3735ebf4f3cc8bb961d7ce63390bc2d208b22df5cc8b5a6790dc2d3bb411df2","observation_id":"d77bf595-b6dd-446f-b90a-423f0174ab28","resolution":{"observed_at":"2026-05-15T19:46:34.121822Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-04T05:50:27.209032Z","title":"arXiv preprint arXiv:2410.12361 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.12147","last_updated":"2026-08-03T09:43:55Z","snapshot_observed_at":"2026-08-08T20:08:07.326425Z","submitted_at":"2026-03-12T16:46:01Z","title":"EgoIntent: A Pre-Outcome Micro-Step Benchmark for Understanding What, Why, and Next","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T05:50:27.209032Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2603.12147"},"observation_digest":"sha256:79703bf36e88e698fd643f95d7c7c65c46d478377d340723baa9d3a20f599e05","observation_id":"7c514e3b-97ee-40a2-b0b1-9ad7f2fe4eae","resolution":{"observed_at":"2026-08-04T05:50:27.209032Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2604.07645","last_updated":"2026-04-08T23:11:12Z","snapshot_observed_at":"2026-07-06T22:55:50.808914Z","submitted_at":"2026-04-08T23:11:12Z","title":"PRIME: Training Free Proactive Reasoning via Iterative Memory Evolution for User-Centric Agent","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T17:17:59.156121Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2604.07645"},"observation_digest":"sha256:8e95e14c21bedf7bc583d2f142ada2b6ab9030c7fbc84dfd1839652681c73b03","observation_id":"20602ad1-171f-4946-85a8-2566acdd271d","resolution":{"observed_at":"2026-05-11T07:06:11.425990Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2604.08000","last_updated":"2026-04-09T09:06:13Z","snapshot_observed_at":"2026-07-06T22:57:13.745326Z","submitted_at":"2026-04-09T09:06:13Z","title":"PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T18:05:40.242925Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2604.08000"},"observation_digest":"sha256:cedde1c90d81cd71f7c324f2050f480ecc769c5373db80a07af732759a4d3065","observation_id":"cf5d4ffa-3387-43e8-b150-ff43481efb82","resolution":{"observed_at":"2026-05-11T05:30:59.707235Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2604.09579","last_updated":"2026-02-25T07:46:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-02-25T07:46:39Z","title":"Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-15T19:55:48.665958Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2604.09579"},"observation_digest":"sha256:06a576a4953af3f370ccd8e66d66c1cfe09e7e002988bd3729713a52969575b3","observation_id":"f174f423-234e-4284-9fb9-90d0b9006300","resolution":{"observed_at":"2026-05-15T19:56:32.912566Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2604.11067","last_updated":"2026-04-13T06:46:37Z","snapshot_observed_at":"2026-07-06T22:59:32.051572Z","submitted_at":"2026-04-13T06:46:37Z","title":"Contexty: Capturing and Organizing In-situ Thoughts for Context-Aware AI Support","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T16:03:26.400262Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2604.11067"},"observation_digest":"sha256:1fa98eaee959293599178baacdeabbac432cb2e913a9463c0aadc68f22deb34e","observation_id":"253db7ee-b3b4-42c0-a431-a76191eafb32","resolution":{"observed_at":"2026-05-11T09:21:02.314344Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2604.15037","last_updated":"2026-05-02T12:33:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-16T14:06:30Z","title":"From Reactive to Proactive: Assessing the Proactivity of Voice Agents via ProVoice-Bench","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T11:44:12.373082Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2604.15037"},"observation_digest":"sha256:73d1556a734d092c1aa4437d10c581e875552bbe363a27794802868bac3966dc","observation_id":"505c2b00-32f6-47dd-98e5-a713eeee232e","resolution":{"observed_at":"2026-05-10T11:45:21.047199Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2604.18133","last_updated":"2026-04-20T12:00:31Z","snapshot_observed_at":"2026-08-03T09:21:05.928583Z","submitted_at":"2026-04-20T12:00:31Z","title":"Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-05-10T04:31:28.242097Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2604.18133"},"observation_digest":"sha256:aa52784580fe2c58d8e7994b8f5f0e584bfa4359478de3d5662242c6187eb932","observation_id":"f4c24b09-578d-4642-9df0-5618a7f5b653","resolution":{"observed_at":"2026-05-11T11:51:03.748936Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2604.18171","last_updated":"2026-04-20T12:30:08Z","snapshot_observed_at":"2026-07-06T23:05:04.279268Z","submitted_at":"2026-04-20T12:30:08Z","title":"Alleviating Linguistic and Interactional Anxiety of Non-Native Speakers in Multilingual Communication","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-10T04:05:25.800106Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2604.18171"},"observation_digest":"sha256:c1537f826e68b55ada929a88ca30bd3732de5ccd424dd2edc1b371817de1f662","observation_id":"747acfa5-be9b-4ced-b418-e7e5361f9a28","resolution":{"observed_at":"2026-05-11T12:11:06.622375Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2604.24348","last_updated":"2026-04-27T11:44:26Z","snapshot_observed_at":"2026-07-31T20:25:37.534799Z","submitted_at":"2026-04-27T11:44:26Z","title":"OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-08T03:51:54.310805Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2604.24348"},"observation_digest":"sha256:1fe1f3a2de3890ea1a20ce80b4192f52f2b5cd1eb4740ca761512d0f71bcdd59","observation_id":"55de8152-4a8c-4897-9945-98cb0811de9c","resolution":{"observed_at":"2026-05-11T21:56:11.604933Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2605.00497","last_updated":"2026-05-01T08:13:32Z","snapshot_observed_at":"2026-07-06T23:13:57.367556Z","submitted_at":"2026-05-01T08:13:32Z","title":"\"What Are You Really Trying to Do?\": Co-Creating Life Goals from Everyday Computer Use","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-09T19:02:24.951442Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2605.00497"},"observation_digest":"sha256:47ae203b469a17016d8a27d9b7dbc1a1522a264dfcfb5864def5b63ab479431b","observation_id":"a28a94f8-f773-492f-99a3-7614abfa9f0e","resolution":{"observed_at":"2026-05-11T15:56:29.095155Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2605.05700","last_updated":"2026-05-07T05:44:52Z","snapshot_observed_at":"2026-08-05T12:33:17.159859Z","submitted_at":"2026-05-07T05:44:52Z","title":"An Empirical Study of Proactive Coding Assistants in Real-World Software Development","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-08T09:22:38.776358Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2605.05700"},"observation_digest":"sha256:48bcfe952a892720edeff28ba437aa29b9b9f7be013dca5cd54affc8ce8e2163","observation_id":"395d89e4-437b-4a03-a95d-a1152b96b146","resolution":{"observed_at":"2026-05-11T20:21:11.844348Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2605.06717","last_updated":"2026-05-07T03:52:56Z","snapshot_observed_at":"2026-07-06T23:19:10.574595Z","submitted_at":"2026-05-07T03:52:56Z","title":"Agentic Coding Needs Proactivity, Not Just Autonomy","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-11T01:04:24.810916Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2605.06717"},"observation_digest":"sha256:aa9e69a316d0bad90cb259232e0dd5e5dbbebfe212d8b21b226fea944de7e513","observation_id":"bb04392b-0d50-49ed-be3b-b0b9b22953df","resolution":{"observed_at":"2026-05-11T04:46:00.330947Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2605.25971","last_updated":"2026-05-26T04:49:24Z","snapshot_observed_at":"2026-08-09T21:53:31.485260Z","submitted_at":"2026-05-25T15:47:21Z","title":"Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-29T21:44:44.789852Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2605.25971"},"observation_digest":"sha256:b2a68610131389cb499c24bfcfbfca6bac5b596137b238f4e1bbe4893261330b","observation_id":"9b8daf3f-00ea-4555-b365-8a18d6de1fe4","resolution":{"observed_at":"2026-06-29T22:04:00.594676Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":"2410.12361","doi":"10.48550/arxiv.2410.12361","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proactive agent: Shifting llm agents from reactive responses to active assistance","venue":"arXiv (Cornell University)","work_id":"5804e134-c400-4a39-91db-646e99d510cb","year":2024},"citing_paper":{"arxiv_id":"2606.17929","last_updated":"2026-06-16T13:40:21Z","snapshot_observed_at":"2026-08-05T10:34:10.739663Z","submitted_at":"2026-06-16T13:40:21Z","title":"PreAct: Computer-Using Agents that Get Faster on Repeated Tasks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T01:06:26.643487Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2606.17929"},"observation_digest":"sha256:a67a59e57e4d5a2ae82dba41886f6f7af37d5e3d696afa061aec5437af089686","observation_id":"a8f66cd3-c232-4c87-aec5-412db7a5d2a4","resolution":{"observed_at":"2026-07-03T20:58:57.413955Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12361","snapshot_observed_at":"2026-08-01T17:18:05.652634Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17701","last_updated":"2026-07-20T08:48:36Z","snapshot_observed_at":"2026-08-09T03:45:10.127037Z","submitted_at":"2026-07-20T08:48:36Z","title":"ProEvent: An Event-centric Benchmark for Proactive Agents","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-01T17:18:05.652634Z"},"links":{"cited_paper":"/paper/2410.12361","citing_paper":"/paper/2607.17701"},"observation_digest":"sha256:7c26f2a83f8faf5fd1a955c7a9eae90356e9149e8bbe3bee797fd8751503977d","observation_id":"9a51a758-9316-4595-90b7-4cfbf506f2c1","resolution":{"observed_at":"2026-08-01T17:18:05.652634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.12361/citation-record","integrity":"/paper/2410.12361/integrity","json":"/paper/2410.12361/citation-record.json","paper":"/paper/2410.12361"},"outbound":[],"paper":{"arxiv_id":"2410.12361","last_updated":"2024-12-03T04:34:09Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T14:49:31.677740Z","submitted_at":"2024-10-16T08:24:09Z","title":"Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2410.12361."}