{"as_of":"2026-08-22T03:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e6e8158c868f768d77d7ca4cd63c2fd460fb8f5ed053b5d63ea98bb16c262f46","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":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":14,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:26:18.369494Z","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":"2026-07-03T05:57:41.651539Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.00835","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-07-03T05:57:41.651539Z","title":"arXiv preprint arXiv:2310.00835 (2023)","venue":null,"work_id":"818d92e1-2dd0-40b2-8661-250745010d7f","year":2023},"citing_paper":{"arxiv_id":"2402.17753","last_updated":"2024-02-27T18:42:31Z","snapshot_observed_at":"2026-08-17T18:26:41.317652Z","submitted_at":"2024-02-27T18:42:31Z","title":"Evaluating Very Long-Term Conversational Memory of LLM Agents","version":1},"reference_index":156,"source":"arxiv_source","source_observed_at":"2026-05-12T08:05:10.586357Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2402.17753"},"observation_digest":"sha256:2e2856f8c6f62f7ae48251d3d12f2774acac52566d23a9acb2b466a835f8dd7b","observation_id":"6fd0c0e5-5f14-4a5d-ac49-bf8f3cbc4f98","resolution":{"observed_at":"2026-05-12T08:05:13.017306Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-08-10T22:03:13.191388Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.03040","last_updated":"2025-07-21T08:01:59Z","snapshot_observed_at":"2026-08-20T01:01:25.544975Z","submitted_at":"2025-01-06T14:27:41Z","title":"ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T22:03:13.191388Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2501.03040"},"observation_digest":"sha256:c252cb354bec2cf74b2e1332b41aec6b03c80247c72f061c90b6cb5191adf258","observation_id":"ebe1db13-4469-42e9-b217-e49ec74bbc1f","resolution":{"observed_at":"2026-08-10T22:03:13.191388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-08-09T00:46:44.995580Z","title":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.05227","last_updated":"2025-02-06T05:50:37Z","snapshot_observed_at":"2026-08-18T18:22:01.577265Z","submitted_at":"2025-02-06T05:50:37Z","title":"Robotouille: An Asynchronous Planning Benchmark for LLM Agents","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T00:46:44.995580Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2502.05227"},"observation_digest":"sha256:be741a7b2c8ad650de6d1929af8ace34d9a4a3e7089fe7f4c4153bcd5082104e","observation_id":"b015e2a4-3a71-49c2-bb36-5ed4ee3bdf41","resolution":{"observed_at":"2026-08-09T00:46:44.995580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-08-16T04:26:18.369494Z","title":"https://arxiv.org/abs/2310.00835","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.01325","last_updated":"2025-05-02T14:56:50Z","snapshot_observed_at":"2026-08-21T16:32:10.417354Z","submitted_at":"2025-05-02T14:56:50Z","title":"TRAVELER: A Benchmark for Evaluating Temporal Reasoning across Vague, Implicit and Explicit References","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T04:26:18.369494Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2505.01325"},"observation_digest":"sha256:181b9dd1b194da49728eb62d0e90396e5c4c812df84b9642d36270592e822b5f","observation_id":"8f220694-2a95-43dd-b02f-29cf3515867b","resolution":{"observed_at":"2026-08-16T04:26:18.369494Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-08-15T23:31:12.772419Z","title":"TRAM: Benchmarking Temporal Rea- soning for Large Language Models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.05515","last_updated":"2025-05-07T14:25:46Z","snapshot_observed_at":"2026-08-15T23:58:16.239225Z","submitted_at":"2025-05-07T14:25:46Z","title":"Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience","version":1},"reference_index":229,"source":"pdf_text","source_observed_at":"2026-08-15T23:31:12.772419Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2505.05515"},"observation_digest":"sha256:80262603fd8727de7e6a4eedd7f349907455043fb03591d87c4f9619d7e4aaaa","observation_id":"5572825b-d5de-4337-b6ea-3840793692de","resolution":{"observed_at":"2026-08-15T23:31:12.772419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-08-15T16:55:30.796292Z","title":"Tram: Benchmarking temporal reasoning for large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19484","last_updated":"2025-08-27T00:01:41Z","snapshot_observed_at":"2026-08-20T02:06:47.924168Z","submitted_at":"2025-08-27T00:01:41Z","title":"Rule Synergy Analysis using LLMs: State of the Art and Implications","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T16:55:30.796292Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2508.19484"},"observation_digest":"sha256:f1bed5735e40aa1c98ecb58a091d0d625a6f93b8e9f9d1bcfd0150b13f5b682d","observation_id":"b611178d-fea8-4f02-bda4-c868b10f8ad0","resolution":{"observed_at":"2026-08-15T16:55:30.796292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-08-04T07:01:42.806076Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.27544","last_updated":"2026-08-09T16:20:29Z","snapshot_observed_at":"2026-08-16T07:05:11.640804Z","submitted_at":"2025-10-31T15:17:55Z","title":"TempoBench: Reasoning Execution Without Causal Attribution Is Just Simulation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T07:01:42.806076Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2510.27544"},"observation_digest":"sha256:e0772b976dc16b6a6e3229d79309c9ab48d79a189fe9a63aa40297876a2d80c7","observation_id":"83268337-fb65-4c4e-839e-323f0c56603c","resolution":{"observed_at":"2026-08-04T07:01:42.806076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.00835","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-07-03T05:57:41.651539Z","title":"arXiv preprint arXiv:2310.00835 (2023)","venue":null,"work_id":"818d92e1-2dd0-40b2-8661-250745010d7f","year":2023},"citing_paper":{"arxiv_id":"2605.16303","last_updated":"2026-04-24T14:01:50Z","snapshot_observed_at":"2026-08-16T05:20:39.723085Z","submitted_at":"2026-04-24T14:01:50Z","title":"From Demographics to Survey Anchors: Evaluating LLM Agents for Modeling Retirement Attitudes","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-21T01:08:50.547385Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2605.16303"},"observation_digest":"sha256:60ffc9b8b8c8c4bb41c4fa52d53fa6346962ec290a47cbf65d7da3772a80feab","observation_id":"ad5c8a61-53be-4996-84b5-1aa5af41b5d2","resolution":{"observed_at":"2026-05-21T01:09:20.174294Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.00835","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-07-03T05:57:41.651539Z","title":"arXiv preprint arXiv:2310.00835 (2023)","venue":null,"work_id":"818d92e1-2dd0-40b2-8661-250745010d7f","year":2023},"citing_paper":{"arxiv_id":"2605.25902","last_updated":"2026-06-02T12:10:15Z","snapshot_observed_at":"2026-08-14T11:38:59.858450Z","submitted_at":"2026-05-25T14:29:36Z","title":"Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-29T22:37:02.708284Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2605.25902"},"observation_digest":"sha256:bfa634ad00dfc885c3eba23987be4648301a70d7bbbc45124becd6d66f76d6cc","observation_id":"80ff6244-8fdd-4fef-9ce4-b19daa0d9be6","resolution":{"observed_at":"2026-06-29T22:44:01.671881Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.00835","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-07-03T05:57:41.651539Z","title":"arXiv preprint arXiv:2310.00835 (2023)","venue":null,"work_id":"818d92e1-2dd0-40b2-8661-250745010d7f","year":2023},"citing_paper":{"arxiv_id":"2606.05194","last_updated":"2026-07-08T19:54:16Z","snapshot_observed_at":"2026-08-06T06:51:53.907927Z","submitted_at":"2026-05-11T21:09:00Z","title":"Temporal Preference Concepts and their Functions in a Large Language Model","version":1},"reference_index":111,"source":"pdf_text","source_observed_at":"2026-06-30T22:16:47.743387Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2606.05194"},"observation_digest":"sha256:866678e581ada9bfca35731e823638f1c34c22fb84abaac86292015eaa17cfde","observation_id":"7d3b205b-ca38-4a71-a10e-819e98590fb1","resolution":{"observed_at":"2026-07-01T14:05:47.192165Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-07-12T17:03:44.315006Z","title":"Tram: Benchmarking temporal reasoning for large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05194","last_updated":"2026-07-08T19:54:16Z","snapshot_observed_at":"2026-08-06T06:51:53.907927Z","submitted_at":"2026-05-11T21:09:00Z","title":"Temporal Preference Concepts and their Functions in a Large Language Model","version":2},"reference_index":111,"source":"pdf_text","source_observed_at":"2026-07-12T17:03:44.315006Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2606.05194"},"observation_digest":"sha256:80f12d48025f6f436ac458732a4cd941854916acf87c20c771ab8a03174cb50f","observation_id":"60267c19-8c75-4f70-88ed-8ef36f6c1491","resolution":{"observed_at":"2026-07-12T17:03:44.315006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.00835","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-07-03T05:57:41.651539Z","title":"arXiv preprint arXiv:2310.00835 (2023)","venue":null,"work_id":"818d92e1-2dd0-40b2-8661-250745010d7f","year":2023},"citing_paper":{"arxiv_id":"2606.11470","last_updated":"2026-08-10T19:13:02Z","snapshot_observed_at":"2026-08-14T23:09:31.705348Z","submitted_at":"2026-06-09T21:59:37Z","title":"The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes","version":1},"reference_index":250,"source":"arxiv_source","source_observed_at":"2026-06-27T12:59:51.091008Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2606.11470"},"observation_digest":"sha256:7993bc6c99fa052b6de9a32e8a7454b876771bb713e7edf56e8a9fb594218f7c","observation_id":"a91c1ebe-c113-4725-8782-c8a18983701b","resolution":{"observed_at":"2026-07-03T05:57:41.653196Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-08-01T09:49:36.498551Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20638","last_updated":"2026-07-22T18:10:07Z","snapshot_observed_at":"2026-08-16T19:12:11.124536Z","submitted_at":"2026-07-22T18:10:07Z","title":"WaveformQA: Benchmarking LLM Temporal Reasoning on Digital Waveforms","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T09:49:36.498551Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2607.20638"},"observation_digest":"sha256:b2126f5fd5108e00ecea2f5a48ebcce355095e00a8fc4161569f66c110bc3999","observation_id":"7290a414-d2d5-424b-9c5c-5d5fee9b49ef","resolution":{"observed_at":"2026-08-01T09:49:36.498551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00835","snapshot_observed_at":"2026-07-31T21:55:17.370287Z","title":"arXiv preprint arXiv:2310.00835 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27967","last_updated":"2026-07-30T10:14:24Z","snapshot_observed_at":"2026-08-19T08:32:48.558680Z","submitted_at":"2026-07-30T10:14:24Z","title":"MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-07-31T21:55:17.370287Z"},"links":{"cited_paper":"/paper/2310.00835","citing_paper":"/paper/2607.27967"},"observation_digest":"sha256:0f08702635316ab2209fe09409302677287e08325ca9e1b3f61fbafc82716f9a","observation_id":"625ea4a6-55da-4a5a-be4d-13dc98e7a7a8","resolution":{"observed_at":"2026-07-31T21:55:17.370287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.00835/citation-record","integrity":"/paper/2310.00835/integrity","json":"/paper/2310.00835/citation-record.json","paper":"/paper/2310.00835"},"outbound":[],"paper":{"arxiv_id":"2310.00835","last_updated":"2024-05-31T15:36:09Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-21T16:32:05.605155Z","submitted_at":"2023-10-02T00:59:07Z","title":"TRAM: Benchmarking Temporal Reasoning for 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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2310.00835."}