{"as_of":"2026-08-08T19:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c0f3dab8f76c2dd79160920375584887a5410ce8720503b55d1096944b6caac2","coverage":[{"denominator":90,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":90,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T11:39:47.967387Z","state":"measured"},{"denominator":92,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":92,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T12:53:05.153500Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T06:07:41.601806Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"cited_work":{"arxiv_id":"2509.02401","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.02401","snapshot_observed_at":"2026-07-03T06:07:41.601806Z","title":"Towards agents that know when they don’t know: Uncertainty as a control signal for structured reasoning","venue":null,"work_id":"8af4fe08-0d15-4942-847a-3c64d56bc28f","year":2025},"citing_paper":{"arxiv_id":"2604.12632","last_updated":"2026-04-14T12:03:17Z","snapshot_observed_at":"2026-08-03T05:40:03.205960Z","submitted_at":"2026-04-14T12:03:17Z","title":"Calibration-Aware Policy Optimization for Reasoning LLMs","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-10T15:40:24.396851Z"},"links":{"cited_paper":"/paper/2509.02401","citing_paper":"/paper/2604.12632"},"observation_digest":"sha256:c07a80e16bb14307262717d9886f5fdcf5bffcdde4e3fe2211ccaee061ff4d72","observation_id":"ad115b17-aaa9-4cfb-be1a-398a997caf4b","resolution":{"observed_at":"2026-05-11T10:06:01.010006Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"cited_work":{"arxiv_id":"2509.02401","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.02401","snapshot_observed_at":"2026-07-03T06:07:41.601806Z","title":"Towards agents that know when they don’t know: Uncertainty as a control signal for structured reasoning","venue":null,"work_id":"8af4fe08-0d15-4942-847a-3c64d56bc28f","year":2025},"citing_paper":{"arxiv_id":"2606.20662","last_updated":"2026-06-09T23:13:53Z","snapshot_observed_at":"2026-07-06T23:55:48.334376Z","submitted_at":"2026-06-09T23:13:53Z","title":"Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-27T12:53:05.153500Z"},"links":{"cited_paper":"/paper/2509.02401","citing_paper":"/paper/2606.20662"},"observation_digest":"sha256:2b7381782bb6297fd2e96736ff26decb5aa94f5b72cd94adf18db8d5292727f7","observation_id":"7e76a1f1-9fa1-4507-971b-280801f2ffff","resolution":{"observed_at":"2026-07-03T06:07:41.603380Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.02401/citation-record","integrity":"/paper/2509.02401/integrity","json":"/paper/2509.02401/citation-record.json","paper":"/paper/2509.02401"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.06664","last_updated":"2025-03-09T15:29:46Z","snapshot_observed_at":"2026-08-07T17:18:49.579181Z","submitted_at":"2025-03-09T15:29:46Z","title":"Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06664","snapshot_observed_at":"2026-08-05T11:39:47.596846Z","title":"Exploring LLM agents for cleaning tabular machine learning datasets","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.596846Z"},"links":{"cited_paper":"/paper/2503.06664","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:53cfa5927300eafc11d0af916595c9e40d4b7656b2ee36a5f8adf5cfa1e07d25","observation_id":"b2398e06-5385-4122-87ae-c93382834ac4","resolution":{"observed_at":"2026-08-05T11:39:47.596846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14578","last_updated":"2024-03-21T17:30:59Z","snapshot_observed_at":"2026-08-07T19:28:53.660050Z","submitted_at":"2024-03-21T17:30:59Z","title":"RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14578","snapshot_observed_at":"2026-08-05T11:39:47.686930Z","title":"Rambla: a framework for evalu- ating the reliability of LLMs as assistants in the biomedical domain","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.686930Z"},"links":{"cited_paper":"/paper/2403.14578","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:2a3bda161ad491043ebfbf14accc66534533adff2c35b20786c1fc4aace584c3","observation_id":"efae5460-d578-4b3a-9db9-b80407587851","resolution":{"observed_at":"2026-08-05T11:39:47.686930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2507.06196","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:48.987834Z","title":"Uqlm: A python package for uncertainty quantification in large language models","venue":null,"work_id":"65a24920-7972-4ebf-8fd7-b26d95b2493d","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.708235Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:a8cda60ca67654a56bd0d471e8c042f0ca466fcad6931683c3aa749f2b5e08c6","observation_id":"ffe710a1-91f8-4f3c-8ea3-f56d39dfd759","resolution":{"observed_at":"2026-08-05T11:39:48.993148Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.711943Z","title":"The uk biobank resource with deep phenotyping and genomic data","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.711943Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:0bb5b4946a9e1baa7f851ac0adb41f5025810f70757d0760ec8b2e56edaadcde","observation_id":"ce5aced6-6263-41e7-b9d9-fb6edc116d7b","resolution":{"observed_at":"2026-08-05T11:39:47.711943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20592","last_updated":"2025-05-19T22:03:52Z","snapshot_observed_at":"2026-08-07T17:41:25.226085Z","submitted_at":"2025-02-27T23:34:47Z","title":"Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20592","snapshot_observed_at":"2026-08-05T11:39:47.715101Z","title":"Multi2: Multi-agent test-time scalable frame- work for multi-document processing","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.715101Z"},"links":{"cited_paper":"/paper/2502.20592","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:8174fd3083d5c6ca40ef3cf20ee7141e8c600919f2b392d84f154da9c4b1f8fe","observation_id":"1738eb20-6446-4509-96e9-c26833c0287b","resolution":{"observed_at":"2026-08-05T11:39:47.715101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.00055","last_updated":"2017-07-31T20:12:06Z","snapshot_observed_at":"2026-08-04T03:50:51.013049Z","submitted_at":"2017-07-31T20:12:06Z","title":"SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.00055","snapshot_observed_at":"2026-08-05T11:39:47.718780Z","title":"Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.718780Z"},"links":{"cited_paper":"/paper/1708.00055","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:71a19ac0208344ef64e7c87172aad2606abd2568210b2b4272719308736ee8ed","observation_id":"183e79a0-0ef9-4246-be9d-60fc74de7b72","resolution":{"observed_at":"2026-08-05T11:39:47.718780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.722542Z","title":"The gtex consortium atlas of genetic regulatory effects across human tissues","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.722542Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:e8d699b07bd9a5c4a38b7c782081ee33182916d0d79193432117e5551bd2caf7","observation_id":"b299973a-ee57-4d41-9e8a-2e00d52948b3","resolution":{"observed_at":"2026-08-05T11:39:47.722542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22617","last_updated":"2025-05-28T17:38:45Z","snapshot_observed_at":"2026-08-07T08:20:32.332400Z","submitted_at":"2025-05-28T17:38:45Z","title":"The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22617","snapshot_observed_at":"2026-08-05T11:39:47.725921Z","title":"The entropy mechanism of reinforcement learning for reasoning language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.725921Z"},"links":{"cited_paper":"/paper/2505.22617","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:da7c90fde0e068ad16c07a4fdf47cc709c573dfef62181a20ec775309eccadfd","observation_id":"df7215a8-a65a-4f07-bc0f-e2796da79ef6","resolution":{"observed_at":"2026-08-05T11:39:47.725921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.728962Z","title":"Multi-LLM debate: Framework, princi- pals, and interventions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.728962Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:f1b4faa83362c6de638bebb207845d44ec0c903d8857dbde39df003437707871","observation_id":"e2990691-e02b-45e5-84da-c9915a89da41","resolution":{"observed_at":"2026-08-05T11:39:47.728962Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.21072","last_updated":"2026-04-29T15:09:14Z","snapshot_observed_at":"2026-08-02T12:26:26.914502Z","submitted_at":"2025-05-27T11:56:59Z","title":"Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval Augmented Generation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.21072","snapshot_observed_at":"2026-08-05T11:39:47.731762Z","title":"Faithfulness-aware uncertainty quan- tification for fact-checking the output of retrieval augmented generation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.731762Z"},"links":{"cited_paper":"/paper/2505.21072","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:9688799f024d854375d7addaa764bdb095092220ceadc33ae05cfddc09c422b2","observation_id":"32d0b002-c906-46ca-b553-95e2c73a1da1","resolution":{"observed_at":"2026-08-05T11:39:47.731762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07383","last_updated":"2023-11-13T15:08:59Z","snapshot_observed_at":"2026-07-06T16:46:38.855912Z","submitted_at":"2023-11-13T15:08:59Z","title":"LM-Polygraph: Uncertainty Estimation for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07383","snapshot_observed_at":"2026-08-05T11:39:47.734879Z","title":"LM-polygraph: Uncertainty estimation for language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.734879Z"},"links":{"cited_paper":"/paper/2311.07383","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:81da202fb3e3f39438bb2227c78bd691d33e376a73ae135cace1c7c1f8d742c4","observation_id":"e3939a02-5e72-4219-93ff-464658a9f5c5","resolution":{"observed_at":"2026-08-05T11:39:47.734879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17944","last_updated":"2024-06-21T19:59:54Z","snapshot_observed_at":"2026-07-06T17:36:32.068270Z","submitted_at":"2024-02-27T23:59:01Z","title":"Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17944","snapshot_observed_at":"2026-08-05T11:39:47.737895Z","title":"Large language models (LLMs) on tabular data: Prediction, generation, and understanding–a survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.737895Z"},"links":{"cited_paper":"/paper/2402.17944","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:9aaa67960f1d7d220f546d67b8b2ab674b329fa5df724beec60b4a31aae8c71e","observation_id":"35948124-f490-4c3d-9c93-b5fcf4c23183","resolution":{"observed_at":"2026-08-05T11:39:47.737895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.740999Z","title":"Scaling laws for reward model overoptimization","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.740999Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:6408a38e7d1d449d55aa9b38d13edd309376c933c6750029bd6b5174fd1023f1","observation_id":"fbffc938-2f53-46cb-baea-38d76f6c7706","resolution":{"observed_at":"2026-08-05T11:39:47.740999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19652","last_updated":"2025-02-27T00:50:25Z","snapshot_observed_at":"2026-08-07T17:44:34.354593Z","submitted_at":"2025-02-27T00:50:25Z","title":"Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19652","snapshot_observed_at":"2026-08-05T11:39:47.743675Z","title":"Robust gymnasium: A uni- fied modular benchmark for robust reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.743675Z"},"links":{"cited_paper":"/paper/2502.19652","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:aa31d1b90255e21c029e396b8fd8dbc752b3f17134d11642852d5ada204dafc1","observation_id":"ff31e499-9824-4880-a34e-4b824c3fd3dd","resolution":{"observed_at":"2026-08-05T11:39:47.743675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.746897Z","title":"Riche- lieu: Self-evolving LLM-based agents for ai diplomacy","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.746897Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:f1b9ee98b0113cccd8e9d87ef439f8779023d9b6cfa9dd2c761a7ac1d2d3486b","observation_id":"74fadb86-ebf1-41fb-9095-dca03ca643b6","resolution":{"observed_at":"2026-08-05T11:39:47.746897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14820","last_updated":"2025-02-20T18:41:48Z","snapshot_observed_at":"2026-08-07T18:01:05.227385Z","submitted_at":"2025-02-20T18:41:48Z","title":"eC-Tab2Text: Aspect-Based Text Generation from e-Commerce Product Tables","version":1},"cited_work":{"arxiv_id":"2502.14820","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.14820","snapshot_observed_at":"2026-08-05T11:39:48.853155Z","title":"eC-Tab2Text: Aspect-Based Text Generation from e-Commerce Product Tables","venue":"cs.CL","work_id":"0c8a48bc-40a0-488f-a2fb-75a05a99ae79","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.749935Z"},"links":{"cited_paper":"/paper/2502.14820","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:15c8aa18d4722cf1554a1268fab72b6f5871eee69c46c18bb09c4c04276a175d","observation_id":"80f61988-c551-4199-a0df-414ee685e9b2","resolution":{"observed_at":"2026-08-05T11:39:48.856437Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-05T11:39:47.752853Z","title":"Deepseek- r1: Incentivizing reasoning capability in LLMs via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.752853Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:68b27a1aa4bc59f8680e048e0996de4cbd24aca7d34087813acd78b6df0898df","observation_id":"570e6c80-59c2-4157-bc23-6ff557c11dd4","resolution":{"observed_at":"2026-08-05T11:39:47.752853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.18322","last_updated":"2024-09-04T17:16:05Z","snapshot_observed_at":"2026-08-06T23:39:48.045445Z","submitted_at":"2024-07-01T19:52:41Z","title":"The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.18322","snapshot_observed_at":"2026-08-05T11:39:47.755638Z","title":"The need for guardrails with large language models in medical safety-critical settings: An artificial intelligence application in the pharma- covigilance ecosystem","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.755638Z"},"links":{"cited_paper":"/paper/2407.18322","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:8bc112cf84bfe1f352b7c7d6b4cd92da810b3c1c1d57b8c4b94d0aabc5a7135e","observation_id":"f6e32a07-750a-46a4-8bbc-5722621125c1","resolution":{"observed_at":"2026-08-05T11:39:47.755638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14016","last_updated":"2024-05-30T13:26:38Z","snapshot_observed_at":"2026-08-06T08:20:39.326640Z","submitted_at":"2024-01-25T08:48:21Z","title":"Towards Uncertainty-Aware Language Agent","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.14016","snapshot_observed_at":"2026-08-05T11:39:47.758592Z","title":"Towards uncertainty- aware language agent","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.758592Z"},"links":{"cited_paper":"/paper/2401.14016","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:fd5e630101fe380a5bf8f9b2c580dff8c215fa5a1199e2450869e5191ab4551e","observation_id":"26199a84-62dd-4987-97df-ab6b8c106059","resolution":{"observed_at":"2026-08-05T11:39:47.758592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.04025","last_updated":"2025-08-06T02:38:02Z","snapshot_observed_at":"2026-08-07T12:39:39.663911Z","submitted_at":"2025-08-06T02:38:02Z","title":"Uncertainty-Aware GUI Agent: Adaptive Perception through Component Recommendation and Human-in-the-Loop Refinement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.04025","snapshot_observed_at":"2026-08-05T11:39:47.761397Z","title":"Uncertainty-aware gui agent: Adaptive perception through component recommendation and human-in- the-loop refinement","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.761397Z"},"links":{"cited_paper":"/paper/2508.04025","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:1617ccd8504037e104bd32561741b10e227cea8d4a1c69db9bf263414d0191d0","observation_id":"284629bd-b5ca-495c-bc57-6b43d3600dbf","resolution":{"observed_at":"2026-08-05T11:39:47.761397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.764636Z","title":"Agentgen: Enhancing plan- ning abilities for large language model based agent via environment and task generation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.764636Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:2ffcb603e0df71d6da0fe1ecff4c0ef126cb300f1f3a7100020b47e97d75e631","observation_id":"8166090e-17e8-428f-bc14-284f656dc65d","resolution":{"observed_at":"2026-08-05T11:39:47.764636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.767799Z","title":"Un- certainty of thoughts: Uncertainty-aware planning enhances information seeking in LLMs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.767799Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:b45252da8d84340ee88e24f3423e7e1dd7b4f84856a50e04a85192a0ca9ecff7","observation_id":"9fa6bff0-adcf-4287-be0e-2fff5b1f857a","resolution":{"observed_at":"2026-08-05T11:39:47.767799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.770712Z","title":"On the importance of exploration for generalization in reinforcement learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.770712Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:0aebade8ed5037784d47e0ff8a856789eaec328617753d61d32a3ddefc8b7aaf","observation_id":"415e0302-edf9-445e-ac4f-69770df1db3a","resolution":{"observed_at":"2026-08-05T11:39:47.770712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.773550Z","title":"Genegpt: Aug- menting large language models with domain tools for improved access to biomedical information","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.773550Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:0038de870ab7625b9b81ed849a3ff7882bd3290c2e8edd9af682e8d867870efe","observation_id":"46e89f0b-64b4-434f-bb86-4f9326120b81","resolution":{"observed_at":"2026-08-05T11:39:47.773550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.776465Z","title":"A roadmap for multi- omics data integration using deep learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.776465Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:0b07268855440177447abbfcd4f952ba8cc3ee7ec2e543d09d0e9571b825df8f","observation_id":"4e04e269-3c65-45a9-9785-42b25c35d772","resolution":{"observed_at":"2026-08-05T11:39:47.776465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21340","last_updated":"2025-07-28T21:20:44Z","snapshot_observed_at":"2026-08-06T12:57:04.001568Z","submitted_at":"2025-07-28T21:20:44Z","title":"StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.21340","snapshot_observed_at":"2026-08-05T11:39:47.778988Z","title":"Structtext: A synthetic table-to-text approach for benchmark generation with multi-dimensional evaluation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.778988Z"},"links":{"cited_paper":"/paper/2507.21340","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:e37cf3e4d1e4b504d3a3afae3b82fb003a22879bdf905f1929e26203ad7abfdc","observation_id":"443e9ad2-e0d3-4d21-a8cd-bfbbcc7c6c06","resolution":{"observed_at":"2026-08-05T11:39:47.778988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.385227Z","title":"Synthetic data production for biomedical research","venue":null,"work_id":"72270395-bc20-4695-bcfe-0cb82453bdb9","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.781832Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:144f1aaecadf146e18022de00c26a7fc2626a1919c12b3d91f04e1e49c2567ab","observation_id":"e8f10030-8d0b-4a1b-af26-d877e0773bd6","resolution":{"observed_at":"2026-08-05T11:39:49.388410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23691","last_updated":"2025-03-31T03:44:00Z","snapshot_observed_at":"2026-08-07T16:26:19.422182Z","submitted_at":"2025-03-31T03:44:00Z","title":"A Conceptual Framework for Human-AI Collaborative Genome Annotation","version":1},"cited_work":{"arxiv_id":"2503.23691","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.23691","snapshot_observed_at":"2026-08-05T11:39:48.784837Z","title":"A Conceptual Framework for Human-AI Collaborative Genome Annotation","venue":"q-bio.GN","work_id":"2c5c6d3b-5d48-4c8e-9276-f2400005e511","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.784463Z"},"links":{"cited_paper":"/paper/2503.23691","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:06cc4b54481c86ec928461434fbd2333ef6d44b01df7f859d315ec4384fe2aee","observation_id":"bc12995e-c3ad-4b57-96c9-30cd66057855","resolution":{"observed_at":"2026-08-05T11:39:48.788604Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-05T11:39:47.787481Z","title":"Roberta: A robustly optimized bert pretraining approach","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.787481Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:d35ef950e491ef5c0f566dd504240892416cc2eb74f7e29ca734abb58a7af17d","observation_id":"167d049e-584e-43da-91f8-9f040af9f7b7","resolution":{"observed_at":"2026-08-05T11:39:47.787481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.374960Z","title":"The truth becomes clearer through debate! multi-agent systems with large lan- guage models unmask fake news","venue":null,"work_id":"3e9864b3-e0d8-4636-8932-91a29a448883","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.791025Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:e209fa69f58e756e65e2959d8532b31b25445517124ab9c035783abc0fae30ca","observation_id":"8c0537b8-5abb-4f29-8d63-9f722a16d31b","resolution":{"observed_at":"2026-08-05T11:39:49.378160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20783","last_updated":"2025-10-06T09:30:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-26T17:59:14Z","title":"Understanding R1-Zero-Like Training: A Critical Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20783","snapshot_observed_at":"2026-08-05T11:39:47.794071Z","title":"Understanding r1-zero-like training: A critical perspective","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.794071Z"},"links":{"cited_paper":"/paper/2503.20783","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:ba85822eada8ee1518420533ef8336ecac876de512d49a4560b4f7b530c007f4","observation_id":"aad8bbf7-386e-469e-9c03-0f3d21636c1d","resolution":{"observed_at":"2026-08-05T11:39:47.794071Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.365879Z","title":"Large language model for table processing: A survey","venue":null,"work_id":"70bfbe7c-a18a-420e-a7d4-12b69ddc93a7","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.796917Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:a0b4b53fd2e60f2f9a4f6056dcc83b4e898748224f1271b6fb68f54d87941946","observation_id":"dea922e7-55d2-4600-933e-8b1bda49729f","resolution":{"observed_at":"2026-08-05T11:39:49.369153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14056","last_updated":"2025-08-08T23:09:45Z","snapshot_observed_at":"2026-08-08T11:03:12.910119Z","submitted_at":"2025-08-08T23:09:45Z","title":"Confidence Estimation for Text-to-SQL in Large Language Models","version":1},"cited_work":{"arxiv_id":"2508.14056","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.14056","snapshot_observed_at":"2026-08-05T11:39:48.750122Z","title":"Confidence Estimation for Text-to-SQL in Large Language Models","venue":"cs.CL","work_id":"c9c08b0d-cd6a-4d96-b3c0-29aee6bdc4c3","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.799419Z"},"links":{"cited_paper":"/paper/2508.14056","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:bbd6df3bea9741892f8c007f81059410115888912cde8d766f232f502099e27a","observation_id":"08d75eef-01c7-4184-aee9-ed7227102f7c","resolution":{"observed_at":"2026-08-05T11:39:48.753908Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.356724Z","title":"A scalable llm framework for therapeutic biomarker discovery: Grounding q/a generation in knowledge graphs and literature","venue":null,"work_id":"b60514a5-8c30-4f28-98ee-6476f38d1c2d","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.802223Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:afe689e443007ff4221ddd6f39ea13b0aab719cf1bea769f8c1e2938599b57dd","observation_id":"25191e30-7195-43b8-9608-e3011d44a563","resolution":{"observed_at":"2026-08-05T11:39:49.359726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.347514Z","title":"Matsa: Multi- agent table structure attribution","venue":null,"work_id":"ea07ab43-f0b7-4620-8721-09ba735ffdbf","year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.805328Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:e24920d935f840f8a0b67fc3f15881943a039cac499a96a1aac515292bc15f28","observation_id":"90d27f18-f64e-45e7-ae74-d76f22324f9d","resolution":{"observed_at":"2026-08-05T11:39:49.350626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.338566Z","title":"Deep bayesian active learning for preference modeling in large language models","venue":null,"work_id":"0e231121-eccf-45e6-8369-61ac0f7b43d9","year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.808018Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:9867f70e6b3e1480a7d932b76dde1bd90858c0bd365d8a37592836b141c318c1","observation_id":"bee11c8b-e25b-41c3-96ee-cf63d2f350e4","resolution":{"observed_at":"2026-08-05T11:39:49.341513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.329012Z","title":"Benchmarking the confidence of large language models in answering clinical questions: cross-sectional evaluation study","venue":null,"work_id":"2fc60984-913f-4432-a266-1cc5f28a0976","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.810559Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:1518c72d90b8685ed70f48bf54afc57280ff729c50ce604ed2d003e93d77b749","observation_id":"d1e719aa-2887-4352-8748-d33a91fa953e","resolution":{"observed_at":"2026-08-05T11:39:49.332251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.320276Z","title":"Visualization of very large high- dimensional data sets as minimum spanning trees","venue":null,"work_id":"6be68515-3061-4af9-aaf3-0e515545f5be","year":2020},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.813045Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:f0bb964fb812beb23ac226fdeb62990185667f23193cdb1fcded1f762e11bf59","observation_id":"ec900565-4ebc-445d-b232-5d37addb5065","resolution":{"observed_at":"2026-08-05T11:39:49.323398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-07-06T08:17:05.681370Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-05T11:39:47.815636Z","title":"Sentence-bert: Sentence embeddings using siamese bert-networks","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.815636Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:f797b62db480e525499b48f839ec30752b4fd24812152c4681e6092e87aeca46","observation_id":"21e731d5-327f-4812-8197-50a8db78b944","resolution":{"observed_at":"2026-08-05T11:39:47.815636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06682","last_updated":"2024-10-16T23:19:46Z","snapshot_observed_at":"2026-08-07T21:53:38.296252Z","submitted_at":"2024-05-05T18:56:46Z","title":"Self-Reflection in LLM Agents: Effects on Problem-Solving Performance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06682","snapshot_observed_at":"2026-08-05T11:39:47.819080Z","title":"Self-reflection in LLM agents: Effects on problem-solving performance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.819080Z"},"links":{"cited_paper":"/paper/2405.06682","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:a7419b3e6414f5b5a71851c5cbe491b2b24c60ef125f310719135d588ea6360c","observation_id":"7b997ffb-3628-4b00-be6d-2f084eed925a","resolution":{"observed_at":"2026-08-05T11:39:47.819080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04494","last_updated":"2025-01-10T22:22:41Z","snapshot_observed_at":"2026-07-06T20:02:26.756229Z","submitted_at":"2024-11-28T19:36:11Z","title":"MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.04494","snapshot_observed_at":"2026-08-05T11:39:47.821838Z","title":"Mag-v: A multi-agent framework for synthetic data generation and verification","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.821838Z"},"links":{"cited_paper":"/paper/2412.04494","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:2e3adb02a4bcfc5e7d09cfbd97f39574fab3ced025f6cc33a78c4336927d4d3b","observation_id":"350597a5-60f5-46f0-a1be-e1af06a080c4","resolution":{"observed_at":"2026-08-05T11:39:47.821838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-05T11:39:47.825038Z","title":"Deepseekmath: Pushing the limits of mathematical reasoning in open language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.825038Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:51754e5e616376684037a1976a4e9dff37b5dbbb18b4966db04051b4375c3d99","observation_id":"e30a545b-a9d0-4944-828c-864e3d45d46d","resolution":{"observed_at":"2026-08-05T11:39:47.825038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.310572Z","title":"A survey on uncertainty quantification of large language models: Taxonomy, open research challenges, and future directions","venue":null,"work_id":"813699dd-afde-4a07-817f-6b668860ede0","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.828208Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:6deca6670e16b28f4720c8e637095dbd940733edcb8ae8b51c440cb2d6bdbf3c","observation_id":"92b493ef-722f-48d3-9a28-58858bc51bd6","resolution":{"observed_at":"2026-08-05T11:39:49.314018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.01441","last_updated":"2025-04-28T10:42:49Z","snapshot_observed_at":"2026-08-05T20:36:54.358831Z","submitted_at":"2025-04-28T10:42:49Z","title":"Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.01441","snapshot_observed_at":"2026-08-05T11:39:47.831219Z","title":"Agen- tic reasoning and tool integration for LLMs via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.831219Z"},"links":{"cited_paper":"/paper/2505.01441","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:e61701f8f0ffca86749a208cb104834fa077530f9463721f5e35cd9a84648b98","observation_id":"205a1c87-bb94-4364-8702-114daa73c292","resolution":{"observed_at":"2026-08-05T11:39:47.831219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.300391Z","title":"Confidence estimation for error de- tection in text-to-sql systems","venue":null,"work_id":"7f7e0f10-a629-497b-ba74-35e88f7c2e8d","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.834243Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:d2c16f1918aeebfc05713040b50b094b24ddde3d08d71a40b441afa9f7bd0e0b","observation_id":"309a6207-1f86-47f0-9887-0edee920acc9","resolution":{"observed_at":"2026-08-05T11:39:49.303859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00908","last_updated":"2024-07-22T04:45:11Z","snapshot_observed_at":"2026-07-06T18:39:16.236400Z","submitted_at":"2024-07-01T02:20:28Z","title":"FineSurE: Fine-grained Summarization Evaluation using LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00908","snapshot_observed_at":"2026-08-05T11:39:47.836951Z","title":"Finesure: Fine-grained summarization evaluation using LLMs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.836951Z"},"links":{"cited_paper":"/paper/2407.00908","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:b662fc3c8a7e01ddf0c2e4685c3ca97d2a876fcf3ed9a491e13f837ed938a51a","observation_id":"e0eebb50-afde-45e5-b646-8ad908a3811c","resolution":{"observed_at":"2026-08-05T11:39:47.836951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.290800Z","title":"Why uncer- tainty estimation methods fall short in RAG: An axiomatic analysis","venue":null,"work_id":"4f02ec25-d83c-4a18-965e-633e6c8e930f","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.839821Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:faf5c227787b6513ce89d2204089117aeeb0f4cc805a76c6f0f53be8919eeb35","observation_id":"0f263516-6d0a-4799-bb7a-593911439f05","resolution":{"observed_at":"2026-08-05T11:39:49.294214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00016","last_updated":"2025-05-02T11:34:00Z","snapshot_observed_at":"2026-08-07T15:59:44.941450Z","submitted_at":"2025-04-23T19:02:04Z","title":"Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2505.00016","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.00016","snapshot_observed_at":"2026-08-05T11:39:48.669623Z","title":"Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning","venue":"cs.CL","work_id":"b3943dd9-d590-4766-9b22-88e0ef8ffff8","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.843049Z"},"links":{"cited_paper":"/paper/2505.00016","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:a552a081f78936dff6843a613887d4685d0fbbd3c335964b0450e4546dabb638","observation_id":"e04e3955-2550-4167-a761-14699ea866be","resolution":{"observed_at":"2026-08-05T11:39:48.673269Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.846049Z","title":"Query, don’t train: Privacy-preserving tabular prediction from ehr data via sql queries","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.846049Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:002665f8a98b8b758dbf9660e527ac273c62d4c57c4a8b042940296f00f9f13c","observation_id":"63293da8-dc7b-4b9e-bcc5-87f1d21e4ee9","resolution":{"observed_at":"2026-08-05T11:39:47.846049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21575","last_updated":"2025-06-15T22:40:36Z","snapshot_observed_at":"2026-08-07T00:34:02.437805Z","submitted_at":"2025-06-15T22:40:36Z","title":"STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic Parsing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.21575","snapshot_observed_at":"2026-08-05T11:39:47.848753Z","title":"Struct-llm: Unifying tabular and graph reasoning with reinforcement learning for semantic parsing","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.848753Z"},"links":{"cited_paper":"/paper/2506.21575","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:73dfb2d67692dcccad17d0177ee2c02f37f7659ef9be018ee188b737138790ee","observation_id":"1f741d50-c5cd-45b3-a0b3-bbd0a45ce8e2","resolution":{"observed_at":"2026-08-05T11:39:47.848753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.280514Z","title":"Evaluating model ro- bustness and stability to dataset shift","venue":null,"work_id":"6786b85f-bee8-4fce-9298-6cce31c30e27","year":2021},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.851536Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:99a806d694ded59a503beeebc13f99df1759632715e49a521340bd874e72b01e","observation_id":"330b087b-77d3-4ef6-b7f5-5e14ff718a4c","resolution":{"observed_at":"2026-08-05T11:39:49.284230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.854148Z","title":"Chain-of-query: Unleashing the power of LLMs in sql- aided table understanding via multi-agent collaboration","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.854148Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:3899ca5cd34e0f8b626ba16c7bdb81b3f460df72e23412c6266f94f8d9456b47","observation_id":"8e3660c0-a3d8-4054-900e-78dcce5e0824","resolution":{"observed_at":"2026-08-05T11:39:47.854148Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00799","last_updated":"2025-03-12T23:09:08Z","snapshot_observed_at":"2026-08-07T17:36:13.552895Z","submitted_at":"2025-03-02T08:50:14Z","title":"On Generalization Across Environments In Multi-Objective Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2503.00799","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.00799","snapshot_observed_at":"2026-08-05T11:39:48.525320Z","title":"On Generalization Across Environments In Multi-Objective Reinforcement Learning","venue":"cs.LG","work_id":"1680ceeb-732a-4b14-9c7c-6227ae58964d","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.856970Z"},"links":{"cited_paper":"/paper/2503.00799","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:63211cc6f8815bde02e66105e992e0b70db95afbcf12c4c6b2e17a745f6bfd81","observation_id":"c6be9701-f50d-4db7-b8b9-1174c7f4fa04","resolution":{"observed_at":"2026-08-05T11:39:48.529735Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.10281","last_updated":"2025-07-14T13:48:13Z","snapshot_observed_at":"2026-08-07T17:01:26.200941Z","submitted_at":"2025-07-14T13:48:13Z","title":"Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence","version":1},"cited_work":{"arxiv_id":"2507.10281","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.10281","snapshot_observed_at":"2026-08-05T11:39:48.263553Z","title":"Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence","venue":"cs.AI","work_id":"3ee5e845-c8c4-4bd5-ae67-02c1cb53568f","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.860007Z"},"links":{"cited_paper":"/paper/2507.10281","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:dc178a331f40e60dbabc9a42cca91859b965edbdbf9ffc617ea1ce88daa733f8","observation_id":"2fde0cbd-086d-4cc1-97c1-88647636e7b4","resolution":{"observed_at":"2026-08-05T11:39:48.369381Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.862803Z","title":"Uncertainty quan- tification for LLMs through minimum bayes risk: Bridging confidence and consistency","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.862803Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:20b388ba086b21ef2d6891e9677f7b36d452ce1d21cf7d918fbc64b184abdd65","observation_id":"28eacd0a-c51a-4627-8864-8e1d53312c68","resolution":{"observed_at":"2026-08-05T11:39:47.862803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20045","last_updated":"2026-06-17T13:48:28Z","snapshot_observed_at":"2026-08-07T13:58:18.822333Z","submitted_at":"2025-05-26T14:28:37Z","title":"Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.20045","snapshot_observed_at":"2026-08-05T11:39:47.865633Z","title":"Uncertainty-aware attention heads: Efficient unsupervised uncertainty quantification for LLMs","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.865633Z"},"links":{"cited_paper":"/paper/2505.20045","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:2cbbeac07a86dbfc84876b36e064c19f2eccd8731799b006f165060b2c36d757","observation_id":"67c327a2-7734-4e65-9a2d-b4f1bf82307d","resolution":{"observed_at":"2026-08-05T11:39:47.865633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00217","last_updated":"2025-07-31T23:41:31Z","snapshot_observed_at":"2026-08-08T04:57:49.246742Z","submitted_at":"2025-07-31T23:41:31Z","title":"Tabular Data Understanding with LLMs: A Survey of Recent Advances and Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00217","snapshot_observed_at":"2026-08-05T11:39:47.868302Z","title":"Tabular data understanding with LLMs: A survey of recent advances and challenges","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.868302Z"},"links":{"cited_paper":"/paper/2508.00217","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:1a9b49c85b01967f73c6974bf876150f79e9a9328a4698576d80b133ca4ba8ac","observation_id":"13567b7e-643a-4ce4-bb41-616ad38b70b4","resolution":{"observed_at":"2026-08-05T11:39:47.868302Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.10709","last_updated":"2025-03-02T04:37:08Z","snapshot_observed_at":"2026-08-07T18:16:13.572545Z","submitted_at":"2025-02-15T07:45:20Z","title":"An Empirical Analysis of Uncertainty in Large Language Model Evaluations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.10709","snapshot_observed_at":"2026-08-05T11:39:47.871058Z","title":"An empirical analysis of uncertainty in large language model evalu- ations","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.871058Z"},"links":{"cited_paper":"/paper/2502.10709","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:35afc34a42ae72a79e99b68d60a66cf0a5e210d117f8de2cac08763522c10389","observation_id":"05afab25-4eb5-4693-9159-430a874fea16","resolution":{"observed_at":"2026-08-05T11:39:47.871058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11817","last_updated":"2025-02-13T08:11:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-22T10:26:14Z","title":"Hallucination is Inevitable: An Innate Limitation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11817","snapshot_observed_at":"2026-08-05T11:39:47.873830Z","title":"Hallucination is in- evitable: An innate limitation of large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.873830Z"},"links":{"cited_paper":"/paper/2401.11817","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:df71c564fe32f77efd020586b39449142dad90f0708cba4c59d6c342c74bb14a","observation_id":"807fc8a4-e92b-4a5e-908f-7355b33c0d97","resolution":{"observed_at":"2026-08-05T11:39:47.873830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.270284Z","title":"Mlomics: Can- cer multi-omics database for machine learning","venue":null,"work_id":"2c5e11d9-7347-4c07-aaa2-ebc1bb8eb561","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.877090Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:f13f56095c2d1e808f5c45efe86b736e657e4e6040d0fab9a98ab856bfe994af","observation_id":"391461de-fb21-43a0-b644-30a809472f9a","resolution":{"observed_at":"2026-08-05T11:39:49.273636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11250","last_updated":"2025-02-16T20:00:56Z","snapshot_observed_at":"2026-08-07T18:14:20.370186Z","submitted_at":"2025-02-16T20:00:56Z","title":"Uncertainty-Aware Step-wise Verification with Generative Reward Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11250","snapshot_observed_at":"2026-08-05T11:39:47.880480Z","title":"Uncertainty-aware step-wise verification with generative reward models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.880480Z"},"links":{"cited_paper":"/paper/2502.11250","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:66c0cac2255de0387658c2ca5be41c18fdfad6626dfa419b2c19d1d651efafd5","observation_id":"ed9fcd47-06b5-4167-ba37-a3256d3d3457","resolution":{"observed_at":"2026-08-05T11:39:47.880480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.260581Z","title":"Enhancing scientific table understanding with type-guided chain-of-thought","venue":null,"work_id":"6344b56e-47bb-4218-b71e-10f2a6f0c5db","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.883434Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:af2a5a9f47169779514973a08d99c902697c6bc2eb2bb0962530b6dfe0b9d30c","observation_id":"d6267116-a7b4-4078-bd6d-26d94a58ec5d","resolution":{"observed_at":"2026-08-05T11:39:49.264071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:47.886601Z","title":"Tablerag: A retrieval aug- mented generation framework for heterogeneous document reasoning.arXiv preprint arXiv:2506.10380, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.886601Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:72668898c792911b48df73d50169b5ac0ac23c7cfd3f0748e3d244ebb38cb7f8","observation_id":"d1bec16e-990a-4498-9dfe-cf5c238670f6","resolution":{"observed_at":"2026-08-05T11:39:47.886601Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.17219","last_updated":"2025-06-25T13:27:49Z","snapshot_observed_at":"2026-08-07T08:57:51.827843Z","submitted_at":"2025-06-20T17:59:52Z","title":"No Free Lunch: Rethinking Internal Feedback for LLM Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.17219","snapshot_observed_at":"2026-08-05T11:39:47.889405Z","title":"No free lunch: Rethinking internal feedback for LLM reasoning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.889405Z"},"links":{"cited_paper":"/paper/2506.17219","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:c5268bd2fdc39cde8a5deb75d55e34ab6ce4d506999c7fc593d31a3486e4c1de","observation_id":"c31aded5-24be-4437-bcd2-3240d11e67b6","resolution":{"observed_at":"2026-08-05T11:39:47.889405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.250129Z","title":"Uncertainty propagation on LLM agent","venue":null,"work_id":"44ac2437-dff8-452a-b6d4-c6125a6ceb3f","year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.892830Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:74caa378c7c130c3ab811d95562d46c2d3780248c23e34ac8a4e93ad6da0f464","observation_id":"84e24819-22e8-4614-8d03-37f2f43870f8","resolution":{"observed_at":"2026-08-05T11:39:49.254191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01033","last_updated":"2024-12-02T01:31:13Z","snapshot_observed_at":"2026-07-06T19:59:51.517871Z","submitted_at":"2024-12-02T01:31:13Z","title":"SAUP: Situation Awareness Uncertainty Propagation on LLM Agent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01033","snapshot_observed_at":"2026-08-05T11:39:47.895703Z","title":"Saup: Situation awareness uncertainty propagation on LLM agent","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.895703Z"},"links":{"cited_paper":"/paper/2412.01033","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:86b236a1cb2eebcdba01e837a7853f54b5f7840edb99905ebc4ad0631083fb7a","observation_id":"9be5a4bd-a88a-4e51-a567-ef97ab85362f","resolution":{"observed_at":"2026-08-05T11:39:47.895703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14303","last_updated":"2023-11-07T04:53:07Z","snapshot_observed_at":"2026-08-07T21:14:12.951435Z","submitted_at":"2023-05-23T17:43:51Z","title":"QTSumm: Query-Focused Summarization over Tabular Data","version":2},"cited_work":{"arxiv_id":"2305.14303","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.14303","snapshot_observed_at":"2026-08-05T11:39:48.017316Z","title":"QTSumm: Query-Focused Summarization over Tabular Data","venue":"cs.CL","work_id":"14fff71c-4e5a-4a36-b4c8-ba4973a1fd7c","year":2023},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.899132Z"},"links":{"cited_paper":"/paper/2305.14303","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:900918884467228ca6ceb56b40418b138995106a016d62d39c5df66d74818e86","observation_id":"cb45f13c-be0b-4401-80a7-b3b22c4b5fbd","resolution":{"observed_at":"2026-08-05T11:39:48.029128Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.15253","last_updated":"2025-05-21T23:42:20Z","snapshot_observed_at":"2026-08-07T16:00:30.724746Z","submitted_at":"2025-04-21T17:33:23Z","title":"Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.15253","snapshot_observed_at":"2026-08-05T11:39:47.902627Z","title":"Evaluating judges as evaluators: The jetts benchmark of LLM-as-judges as test-time scaling evaluators","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.902627Z"},"links":{"cited_paper":"/paper/2504.15253","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:c5339cb224036e8de056cbaccb7f4353b6d1091881b4e0969cff86336d92a7e5","observation_id":"d3531d6c-a718-48ad-b4dd-4bfeb6ed5f0a","resolution":{"observed_at":"2026-08-05T11:39:47.902627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.08593","last_updated":"2020-01-08T23:02:36Z","snapshot_observed_at":"2026-08-08T07:44:49.921146Z","submitted_at":"2019-09-18T17:33:39Z","title":"Fine-Tuning Language Models from Human Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.08593","snapshot_observed_at":"2026-08-05T11:39:47.905590Z","title":"Fine-tuning language models from human preferences","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.905590Z"},"links":{"cited_paper":"/paper/1909.08593","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:d1e862a04057673037c297aa9c756bcb1814109ccad3b80f07c71644c580aef7","observation_id":"eb88a9ba-cd24-4b0f-8f6b-3b66edba87a0","resolution":{"observed_at":"2026-08-05T11:39:47.905590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.240764Z","title":null,"venue":null,"work_id":"332569b8-787e-4182-a9ce-5819610905af","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.909014Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:98267b1b1a6eb66b9f3c29a4266ec1a03b96e3f9546ebb9847271e99d6180bfa","observation_id":"6791a98f-4897-4dc7-904c-ddffde81d7a9","resolution":{"observed_at":"2026-08-05T11:39:49.243732Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.231987Z","title":null,"venue":null,"work_id":"b19d6f1e-4a8f-4ea2-886f-dff2d5d8583f","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.911775Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:50756035d68d48e92e9acd4289f0f7e8664ce6fb143844c98b2fe268d9ede9c7","observation_id":"d37f8d54-acc9-4459-b885-bc2996199b68","resolution":{"observed_at":"2026-08-05T11:39:49.234986Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.221845Z","title":null,"venue":null,"work_id":"f1959ecd-836a-4c89-991f-37c19283954a","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.915354Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:348df1f36894733025863b20a2a3457ab0dc5c976d9251fa7801aba5a768ead9","observation_id":"f0e56e94-b8d1-4d9a-bf41-e6ba4d5b78d2","resolution":{"observed_at":"2026-08-05T11:39:49.225069Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.211078Z","title":null,"venue":null,"work_id":"5fbde5c6-fa16-4ff0-9102-e95111616ba7","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.918167Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:3f81b816c8ae1b7ca2a342fa385c5389404f81fd2304bdd103d2e87c8bfe1b8b","observation_id":"a46aee59-dadf-4035-a03e-954107d7168f","resolution":{"observed_at":"2026-08-05T11:39:49.214521Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.199675Z","title":"24 Task 2: Molecular Data Profile Objective: For a specified cancer type CANCER TYPE, analyze each omic layer:","venue":null,"work_id":"98439e45-6358-47c3-b536-ff2a1a999a8b","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.920950Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:e4e46d5086c197df636420d27d45e5c62d83ed1af6d709ae28901bf36853ba9b","observation_id":"ec33fd3c-3bd7-4b66-972b-cb996fa608d2","resolution":{"observed_at":"2026-08-05T11:39:49.203356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.189089Z","title":null,"venue":null,"work_id":"1b01a9e4-1b24-4dd7-97a4-b1e768a1a8b8","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.923852Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:961ffc29468e042c71c0472b9e8efe8b920ee835ed835465385e793cffccf227","observation_id":"e4368e1a-6fef-4019-b2f1-ce393009cfa0","resolution":{"observed_at":"2026-08-05T11:39:49.191993Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.178672Z","title":null,"venue":null,"work_id":"b0b27bb1-8306-423d-89da-a7d5fa01bf2c","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.926919Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:351a7c5f17918176b6b093430fb632a83db8497d50dcd49585b21bbdf96602af","observation_id":"64b55465-7bac-409e-b411-af64215258eb","resolution":{"observed_at":"2026-08-05T11:39:49.182210Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.167836Z","title":"Task 3: Cancer-Specific Biomarkers Objective: For a specified cancer type CANCER TYPE, identify and ana- lyze biomarkers:","venue":null,"work_id":"0c4fe529-1053-44c4-acdf-1af3a02778a3","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.929683Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:00dd6cda694365f201cc2020ef6df74d821c689a128e25b251a1044dd02ff94f","observation_id":"1779c967-c56d-4537-b405-a41efd676ef3","resolution":{"observed_at":"2026-08-05T11:39:49.171413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.157011Z","title":null,"venue":null,"work_id":"3fed92c7-0cd9-47d4-a74a-f630f787d215","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.932311Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:c9b6665ce13f85a9a05409b4d1ae08325e563a301e77d61a087181f3573d7d2a","observation_id":"f19e3756-4c12-4010-8d87-640ce87c0d4d","resolution":{"observed_at":"2026-08-05T11:39:49.160702Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.146371Z","title":null,"venue":null,"work_id":"4859a808-842a-4942-b3ab-df475be74209","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.935015Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:972b47be661cf0e2cf4dd9e8c4bdf3f83277aa9d75cbfde1d168609dd33d57c8","observation_id":"6c4238a8-1b74-4804-a3e2-a8d226a591e4","resolution":{"observed_at":"2026-08-05T11:39:49.149396Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.136999Z","title":null,"venue":null,"work_id":"c2484b66-d4f7-42da-8168-58bc010e4f4b","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.937887Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:c0c3e65e849f3b3b38b7fc2005631b8f03febeab099be74e3511c13af13dbcfc","observation_id":"cb974668-1642-4bfc-856c-d4b45b874dfc","resolution":{"observed_at":"2026-08-05T11:39:49.139837Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.126989Z","title":"Task 4: Multi-omic Integration Objective: For a specified cancer type CANCER TYPE, integrate various omic layers:","venue":null,"work_id":"e2ac324d-4a13-43d8-8116-cde1befc91f1","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.940689Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:0c0d96274ac360b1cca8fce57292acda9956716722e58e0a62908bc0f32f2cfb","observation_id":"e373ca0a-6847-4a10-92a5-cd32914cfd19","resolution":{"observed_at":"2026-08-05T11:39:49.130838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.117047Z","title":null,"venue":null,"work_id":"f0e610d9-93bf-4d5d-8a5b-efa146185254","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.943510Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:f3c0d4b8c483d3e416a5ea22560971ff8e356d3011ebc6cd55e79f48c968bbd6","observation_id":"e8a3a6da-e808-4e6f-87f7-67535db79476","resolution":{"observed_at":"2026-08-05T11:39:49.120409Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.105897Z","title":null,"venue":null,"work_id":"d8cd9174-c528-48c0-82c8-1b7af0e79272","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.946623Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:c2784e879b55dde2103f53ae4e2566d7d9326499c7ad6e6efc594c519e56afdb","observation_id":"79060ac1-00e5-4b7e-a0fe-a17031fdd8a8","resolution":{"observed_at":"2026-08-05T11:39:49.109308Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.095738Z","title":null,"venue":null,"work_id":"92cfd037-24ca-4605-a224-0db2338cf175","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.949236Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:908c5767e365a940bf5f32d5ec5e017127d6b18d183878e4d8412f7c2ce0b24f","observation_id":"780e5ca0-6fbc-4e57-98ed-8ee3570d5a93","resolution":{"observed_at":"2026-08-05T11:39:49.098862Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.083009Z","title":"25 Task 5: Clinical-Molecular Summary Objective: Create a comprehensive summary for a specified cancer type CANCER TYPE:","venue":null,"work_id":"b3f33552-62c0-4d33-8819-ea5450db9309","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.952437Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:eb91bd09f891e0577140ee3d49a45e3e1ab2014da0320b0dc4badddf3a484f1e","observation_id":"f882d355-f089-44e4-9ed3-d4a4852b1993","resolution":{"observed_at":"2026-08-05T11:39:49.087908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.072744Z","title":null,"venue":null,"work_id":"275fad35-dd8e-492b-b245-86f7da1074c3","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.955374Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:e777e7fa77eed8316c136612f2c6fb21702e570e0190f03a6ab33f84f2d2f459","observation_id":"69b0b2b0-0346-48d4-bb05-6731bec0281f","resolution":{"observed_at":"2026-08-05T11:39:49.076007Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.061889Z","title":null,"venue":null,"work_id":"fc09397d-6f60-487c-ab8c-802166303b09","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.958121Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:64d0b88e3c5c229328f3fc11d418ac28b9facef2b30c04e6ea39f5d84a611556","observation_id":"6719d37d-1cef-4f76-accf-774f80f02366","resolution":{"observed_at":"2026-08-05T11:39:49.065382Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.048885Z","title":null,"venue":null,"work_id":"3a4ac756-0c89-4360-942f-7a422218a623","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.961484Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:d4f1316cc62f6474f1212ae20b2ab92aaa0bcf4e146941277901577382c7090a","observation_id":"a84bef9c-3d30-4c1e-b93d-74b99365cae7","resolution":{"observed_at":"2026-08-05T11:39:49.053188Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.037816Z","title":null,"venue":null,"work_id":"8044c06f-a908-4b98-aa62-e0a216d22d45","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.964233Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:2030631e17ac4bc141e3bad8a74081b8965bed4a9444dc215f184f5ba41a020a","observation_id":"b6ced005-cb0d-43b8-8edf-6abf582d2da4","resolution":{"observed_at":"2026-08-05T11:39:49.040979Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:39:49.025881Z","title":"D Hyperparameters The backbone of the model used in this work is Qwen2.5-14B-Instruct, imple- mented within the ART framework","venue":null,"work_id":"ba1094ff-211f-47b7-8d71-3d7b2a2fa483","year":null},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.967387Z"},"links":{"citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:5e8d7b575f7c678975daba71130359f219aa66f02a4119cf252f2b397b4be5e6","observation_id":"bc9227f9-0c08-4e1a-9e22-d5a3a178cac4","resolution":{"observed_at":"2026-08-05T11:39:49.029852Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning"},"reference_resolution":{"displayed":90,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":61,"verified_exact":8,"verified_fuzzy":19},"total_outbound_references":90},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 2 inbound Pith citation observations for arXiv:2509.02401."}