{"as_of":"2026-08-22T09:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b10551c94d5519ab08c6368e6f3582b99e06638db97641e159115d0974f3a38","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":21,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:47:37.271898Z","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":"2026-07-02T22:57:26.038933Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-12T13:03:27.182269Z","title":"Real-time anomaly detection and reactive planning with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16554","last_updated":"2024-11-25T16:38:17Z","snapshot_observed_at":"2026-08-14T17:12:43.301999Z","submitted_at":"2024-11-25T16:38:17Z","title":"Generating Out-Of-Distribution Scenarios Using Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T13:03:27.182269Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2411.16554"},"observation_digest":"sha256:0b0e0003b342d1ac1b9c6ba061b712fc9d23be31859121a74f744d49a0d3d04f","observation_id":"a00e429f-6800-439f-840f-911c76d2312d","resolution":{"observed_at":"2026-08-12T13:03:27.182269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-11T13:31:30.216549Z","title":"Real-time anomaly detection and reactive planning with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.13238","last_updated":"2024-12-19T04:30:24Z","snapshot_observed_at":"2026-08-16T17:09:15.369548Z","submitted_at":"2024-12-17T16:45:27Z","title":"SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T13:31:30.216549Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2412.13238"},"observation_digest":"sha256:106a628e4de2d95f78c1835c72bb48c1f027d289cd05f69be35062c5e2b23f56","observation_id":"9792a8c1-620d-4938-83c0-dcf0e6e5a3b0","resolution":{"observed_at":"2026-08-11T13:31:30.216549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-10T12:10:35.643959Z","title":"Real-Time Anomaly Detec- tion and Reactive Planning with Large Language Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.16588","last_updated":"2025-01-28T00:02:00Z","snapshot_observed_at":"2026-08-18T09:55:56.338770Z","submitted_at":"2025-01-28T00:02:00Z","title":"Fine-Tuned Language Models as Space Systems Controllers","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T12:10:35.643959Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2501.16588"},"observation_digest":"sha256:a21f742db135d47cd28bf84ede36efedd3de42f753e6141b521288cdcb655c16","observation_id":"b70b93a9-3b76-4953-a682-4a3c390c89a1","resolution":{"observed_at":"2026-08-10T12:10:35.643959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-08T15:04:10.875781Z","title":"Real-time anomaly detection and reactive planning with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06575","last_updated":"2025-02-10T15:44:34Z","snapshot_observed_at":"2026-08-14T03:12:46.772367Z","submitted_at":"2025-02-10T15:44:34Z","title":"Predictive Red Teaming: Breaking Policies Without Breaking Robots","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T15:04:10.875781Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2502.06575"},"observation_digest":"sha256:d3a56564d1778dd88456e2b2edf80d05b4a7609a2a064b4b6d1ecee2d93881b7","observation_id":"668ba732-86bf-4823-ad65-caa56cbd0f7c","resolution":{"observed_at":"2026-08-08T15:04:10.875781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-08T15:03:44.822134Z","title":"Real-time anomaly detection and reactive planning with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06623","last_updated":"2025-02-10T16:19:09Z","snapshot_observed_at":"2026-08-21T08:32:38.935579Z","submitted_at":"2025-02-10T16:19:09Z","title":"Deferred-Decision Trajectory Optimization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T15:03:44.822134Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2502.06623"},"observation_digest":"sha256:2793d4e7b1cdb7b2b4ad5d6adbed98ab9d1013fa922705a2aa334b1425f7a639","observation_id":"b59b4843-dcd8-485a-a73f-c90b012c2b9a","resolution":{"observed_at":"2026-08-08T15:03:44.822134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-15T22:47:37.271898Z","title":"Sinha, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06399","last_updated":"2025-05-09T19:55:22Z","snapshot_observed_at":"2026-08-18T11:22:22.163501Z","submitted_at":"2025-05-09T19:55:22Z","title":"LLM-Land: Large Language Models for Context-Aware Drone Landing","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T22:47:37.271898Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2505.06399"},"observation_digest":"sha256:25a9b2f66fd0cb9be162117e98dc4daa98a78c70a67037a6bcc2b9a1b3683fdc","observation_id":"7de040c2-6e0e-4cf1-9c71-64c399db5fd2","resolution":{"observed_at":"2026-08-15T22:47:37.271898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-15T20:19:23.636126Z","title":"Real-time anomaly detection and reactive planning with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13376","last_updated":"2025-05-19T17:19:43Z","snapshot_observed_at":"2026-08-15T20:12:45.726611Z","submitted_at":"2025-05-19T17:19:43Z","title":"Seeing, Saying, Solving: An LLM-to-TL Framework for Cooperative Robots","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:19:23.636126Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2505.13376"},"observation_digest":"sha256:1e589d61348ba5339b52d21353c6d177dbb2027c9faa20ac9c1dffa5b3502793","observation_id":"7ed7d53b-2d73-4caf-aca0-57b2f6c7cef1","resolution":{"observed_at":"2026-08-15T20:19:23.636126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-07T11:11:40.268031Z","title":"Real-time anomaly detection and reactive planning with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03350","last_updated":"2025-06-03T19:43:58Z","snapshot_observed_at":"2026-08-10T20:18:21.272344Z","submitted_at":"2025-06-03T19:43:58Z","title":"Adversarial Attacks on Robotic Vision Language Action Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:11:40.268031Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2506.03350"},"observation_digest":"sha256:0680c97d98fa0978e6456a4f2b396e93dcd2a06fef836d7044d1d2c1d4ca25b8","observation_id":"0d042e41-996c-40a5-8a96-c74ece747715","resolution":{"observed_at":"2026-08-07T11:11:40.268031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-07T00:39:41.994028Z","title":"Sinha, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12958","last_updated":"2025-06-20T15:52:06Z","snapshot_observed_at":"2026-08-20T13:33:41.882131Z","submitted_at":"2025-06-15T20:42:45Z","title":"Domain Specific Benchmarks for Evaluating Multimodal Large Language Models","version":2},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-07T00:39:41.994028Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2506.12958"},"observation_digest":"sha256:21ec381285a9237fa23f48279ae5db758d445e63c6de38a28bed785399053d72","observation_id":"9b129a3a-eb73-4630-ac44-4989b94424b5","resolution":{"observed_at":"2026-08-07T00:39:41.994028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-15T20:02:56.356694Z","title":"Sinha, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13624","last_updated":"2026-08-18T00:28:03Z","snapshot_observed_at":"2026-08-21T23:09:55.935924Z","submitted_at":"2025-06-16T15:53:18Z","title":"Parallel Branch Model Predictive Control on GPUs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:02:56.356694Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2506.13624"},"observation_digest":"sha256:fcc7827b97f1a6e8b14ec1ed385adc0acef76ac10a9e4ffcc4af1b3e8a9aa2e0","observation_id":"b0e4b87b-616c-48f4-a0e1-cae93c048464","resolution":{"observed_at":"2026-08-15T20:02:56.356694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-15T19:06:37.986849Z","title":"Sinha, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.17811","last_updated":"2025-07-07T02:08:10Z","snapshot_observed_at":"2026-08-15T18:58:27.173451Z","submitted_at":"2025-06-21T20:56:17Z","title":"RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T19:06:37.986849Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2506.17811"},"observation_digest":"sha256:d29891fc7f22f8af63d9c6a445bea026eb7c0869ef51f1d28ddd5e169d3e264d","observation_id":"5173db46-84b5-4d06-8e7a-ca875a913f41","resolution":{"observed_at":"2026-08-15T19:06:37.986849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-05T22:58:42.566961Z","title":"Real-time anomaly detection and reactive planning with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06096","last_updated":"2025-08-08T07:42:14Z","snapshot_observed_at":"2026-08-13T23:15:05.304759Z","submitted_at":"2025-08-08T07:42:14Z","title":"Bounding Distributional Shifts in World Modeling through Novelty Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T22:58:42.566961Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2508.06096"},"observation_digest":"sha256:a1eedd06b534708cc7771b24a406952a50cfd7a22ec26d41f24bd23bf073d311","observation_id":"bbec4ebe-6dec-4f8e-ae59-9e8ae3af1cb9","resolution":{"observed_at":"2026-08-05T22:58:42.566961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":"2407.08735","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-07-02T22:57:26.038933Z","title":"Real-time anomaly detection and reactive planning with large language models","venue":null,"work_id":"e38bc7f4-5cdf-4b86-91c1-fc66faad8ebb","year":2024},"citing_paper":{"arxiv_id":"2512.24470","last_updated":"2026-01-05T14:30:28Z","snapshot_observed_at":"2026-08-16T12:30:53.709457Z","submitted_at":"2025-12-30T21:20:41Z","title":"Foundation models on the bridge: Semantic hazard detection and safety maneuvers for maritime autonomy with vision-language models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-21T15:40:06.327434Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2512.24470"},"observation_digest":"sha256:18b4d112d185738b11bbc80f89bb69cc48ee9f2aec8574ab6c182cabe004c933","observation_id":"58a27c16-05f2-4382-bedd-e4f50ac5f25f","resolution":{"observed_at":"2026-05-21T15:40:18.840464Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":"2407.08735","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-07-02T22:57:26.038933Z","title":"Real-time anomaly detection and reactive planning with large language models","venue":null,"work_id":"e38bc7f4-5cdf-4b86-91c1-fc66faad8ebb","year":2024},"citing_paper":{"arxiv_id":"2601.12538","last_updated":"2026-01-18T18:58:23Z","snapshot_observed_at":"2026-08-04T22:42:23.171653Z","submitted_at":"2026-01-18T18:58:23Z","title":"Agentic Reasoning for Large Language Models","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-17T15:14:25.558878Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2601.12538"},"observation_digest":"sha256:4794a135c1a336d80bf79993f082fae7d0db005c68ff099137b10ed36f4e4f76","observation_id":"ba8a187b-d962-4c33-bd57-c75e0b1cabd3","resolution":{"observed_at":"2026-05-17T15:14:25.933475Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":"2407.08735","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-07-02T22:57:26.038933Z","title":"Real-time anomaly detection and reactive planning with large language models","venue":null,"work_id":"e38bc7f4-5cdf-4b86-91c1-fc66faad8ebb","year":2024},"citing_paper":{"arxiv_id":"2604.14360","last_updated":"2026-04-15T19:23:40Z","snapshot_observed_at":"2026-08-16T16:54:31.629143Z","submitted_at":"2026-04-15T19:23:40Z","title":"Digital Guardians: The Past and The Future of Cyber-Physical Resilience","version":1},"reference_index":207,"source":"pdf_text","source_observed_at":"2026-05-10T12:41:29.119556Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2604.14360"},"observation_digest":"sha256:8dc36a196d7596da9ac00f8a1ac6578ba587a9a7b58fdab4348233ef42a2d25b","observation_id":"588062ec-6f7d-4d2c-a7d2-b0027cff9926","resolution":{"observed_at":"2026-05-11T11:46:15.679346Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":"2407.08735","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-07-02T22:57:26.038933Z","title":"Real-time anomaly detection and reactive planning with large language models","venue":null,"work_id":"e38bc7f4-5cdf-4b86-91c1-fc66faad8ebb","year":2024},"citing_paper":{"arxiv_id":"2604.20472","last_updated":"2026-04-22T11:58:05Z","snapshot_observed_at":"2026-08-13T12:57:10.710822Z","submitted_at":"2026-04-22T11:58:05Z","title":"Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-05-09T23:59:32.295839Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2604.20472"},"observation_digest":"sha256:de8f77ac462e31de8d966057585a9b57d27a0c798583a5158a08db210db05ffc","observation_id":"e8493e24-f14e-4fcc-8937-d1896ff943ce","resolution":{"observed_at":"2026-05-11T13:51:03.401149Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":"2407.08735","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-07-02T22:57:26.038933Z","title":"Real-time anomaly detection and reactive planning with large language models","venue":null,"work_id":"e38bc7f4-5cdf-4b86-91c1-fc66faad8ebb","year":2024},"citing_paper":{"arxiv_id":"2605.29605","last_updated":"2026-08-17T02:14:52Z","snapshot_observed_at":"2026-08-20T23:12:32.119413Z","submitted_at":"2026-05-28T08:42:12Z","title":"VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-29T06:53:56.750481Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2605.29605"},"observation_digest":"sha256:05318bb1f55a82091c4963620d88171ad4f2bd7822e3a53a6153cdcfc481e7e8","observation_id":"59318dc3-2a5a-474e-ac8d-ce9aa32f46af","resolution":{"observed_at":"2026-06-29T14:13:30.481158Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":"2407.08735","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-07-02T22:57:26.038933Z","title":"Real-time anomaly detection and reactive planning with large language models","venue":null,"work_id":"e38bc7f4-5cdf-4b86-91c1-fc66faad8ebb","year":2024},"citing_paper":{"arxiv_id":"2605.31119","last_updated":"2026-07-22T13:05:59Z","snapshot_observed_at":"2026-08-03T04:42:02.141362Z","submitted_at":"2026-05-29T10:30:02Z","title":"Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven Reasoning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T22:11:35.012271Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2605.31119"},"observation_digest":"sha256:99a7b67f3d91b9621a81c213d4154d7dc2488e702347c13db8b837bc187a8a91","observation_id":"5cf32ff2-f0aa-4e9d-b1da-7cdda730c07f","resolution":{"observed_at":"2026-07-01T19:36:09.420069Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-02T12:49:27.003772Z","title":"Real-time anomaly detection and reactive planning with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.31119","last_updated":"2026-07-22T13:05:59Z","snapshot_observed_at":"2026-08-03T04:42:02.141362Z","submitted_at":"2026-05-29T10:30:02Z","title":"Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven Reasoning","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T12:49:27.003772Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2605.31119"},"observation_digest":"sha256:f25d3cdb51a61b931cad0c4f4bca4dc3b5ac6f5e0b40775c0bf5a608b9716b2f","observation_id":"07d3ed05-7e13-4393-ab9e-798d607e98f0","resolution":{"observed_at":"2026-08-02T12:49:27.003772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":"2407.08735","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-07-02T22:57:26.038933Z","title":"Real-time anomaly detection and reactive planning with large language models","venue":null,"work_id":"e38bc7f4-5cdf-4b86-91c1-fc66faad8ebb","year":2024},"citing_paper":{"arxiv_id":"2606.08508","last_updated":"2026-06-07T08:18:11Z","snapshot_observed_at":"2026-08-16T23:05:03.472196Z","submitted_at":"2026-06-07T08:18:11Z","title":"ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T18:35:24.934570Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2606.08508"},"observation_digest":"sha256:9f3ecdf29b83d99f5c341a8d8a9303873881301cacf743fa0651755092623035","observation_id":"e9aa56da-2e6b-445c-9ccd-bf172f869a63","resolution":{"observed_at":"2026-07-02T22:57:26.040487Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08735","snapshot_observed_at":"2026-08-04T00:49:31.803546Z","title":"arXiv preprint arXiv:2407.08735 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.00315","last_updated":"2026-07-31T22:00:35Z","snapshot_observed_at":"2026-08-07T01:30:24.546411Z","submitted_at":"2026-07-31T22:00:35Z","title":"Towards General Language-Conditioned Latent Safety Filters","version":1},"reference_index":138,"source":"arxiv_source","source_observed_at":"2026-08-04T00:49:31.803546Z"},"links":{"cited_paper":"/paper/2407.08735","citing_paper":"/paper/2608.00315"},"observation_digest":"sha256:e1ab1e99ab099a9cbbffc333bc5f69d63f95a128dac3e0cea50f93b56bf2a5bf","observation_id":"cde8bc8d-84f1-447b-8f2d-bafe71bdce5b","resolution":{"observed_at":"2026-08-04T00:49:31.803546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.08735/citation-record","integrity":"/paper/2407.08735/integrity","json":"/paper/2407.08735/citation-record.json","paper":"/paper/2407.08735"},"outbound":[],"paper":{"arxiv_id":"2407.08735","last_updated":"2024-07-11T17:59:22Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-21T08:32:09.171351Z","submitted_at":"2024-07-11T17:59:22Z","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2407.08735."}