{"as_of":"2026-08-09T01:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3f91253c26a7e526931690110dc52f77020d3afcc05f5f0c82c9437191973dc3","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T15:08:16.339875Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":6,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.14540","doi":"10.48550/arxiv.2310.14540","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yamada, Y","venue":"arXiv (Cornell University)","work_id":"58cdd9aa-5195-4278-8c0f-bb9452abdd37","year":2023},"citing_paper":{"arxiv_id":"2503.19786","last_updated":"2025-03-25T15:52:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-25T15:52:34Z","title":"Gemma 3 Technical Report","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-22T22:18:55.976503Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2503.19786"},"observation_digest":"sha256:f852436d43a5a0f6d000adc88f358f72c82861b33f12b75686414bc8d42dd8cb","observation_id":"b6b2eb4a-0acd-4d6d-ae6f-eb9ad87d7b5b","resolution":{"observed_at":"2026-05-22T22:22:12.103716Z","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":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-07T15:08:16.339875Z","title":"K., Kasai, J., and Yildirim, I","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17136","last_updated":"2025-05-22T05:21:31Z","snapshot_observed_at":"2026-08-07T15:02:46.429744Z","submitted_at":"2025-05-22T05:21:31Z","title":"Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations","version":1},"reference_index":110,"source":"arxiv_source","source_observed_at":"2026-08-07T15:08:16.339875Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2505.17136"},"observation_digest":"sha256:ddf74950234449478b6dc3ff0a49c3c191292af9cd2d7238624f2bf2cf9f7911","observation_id":"1c5c2c49-c045-40ee-bda9-c7aad43ddc88","resolution":{"observed_at":"2026-08-07T15:08:16.339875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-07T14:47:17.109005Z","title":"Evaluating spatial understanding of large language models.arXiv preprint arXiv:2310.14540, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17572","last_updated":"2025-05-23T07:30:57Z","snapshot_observed_at":"2026-08-07T21:56:03.875890Z","submitted_at":"2025-05-23T07:30:57Z","title":"USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T14:47:17.109005Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2505.17572"},"observation_digest":"sha256:c27de56f11cfe05db1bcc3172ae15088fdaf4e35a9df6fa61614bd1852a61c87","observation_id":"63d0c6b9-0757-42fd-99dc-eea7f6aee440","resolution":{"observed_at":"2026-08-07T14:47:17.109005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-07T12:14:03.935340Z","title":"K., Kasai, J., and Yildirim, I","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00203","last_updated":"2025-05-30T20:14:17Z","snapshot_observed_at":"2026-08-07T12:08:03.787825Z","submitted_at":"2025-05-30T20:14:17Z","title":"The World As Large Language Models See It: Exploring the reliability of LLMs in representing geographical features","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T12:14:03.935340Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2506.00203"},"observation_digest":"sha256:ccbfe4e799032157f54942b349a2da1e4f96ae65a648d5cf00de16d6fba8fdd0","observation_id":"e955196e-5680-47be-965f-6e8651b752d5","resolution":{"observed_at":"2026-08-07T12:14:03.935340Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.14540","doi":"10.48550/arxiv.2310.14540","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yamada, Y","venue":"arXiv (Cornell University)","work_id":"58cdd9aa-5195-4278-8c0f-bb9452abdd37","year":2023},"citing_paper":{"arxiv_id":"2506.09965","last_updated":"2025-06-19T03:46:55Z","snapshot_observed_at":"2026-07-31T21:40:49.363128Z","submitted_at":"2025-06-11T17:41:50Z","title":"Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-17T04:58:10.202784Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2506.09965"},"observation_digest":"sha256:114efb3e0cd05887693f6986e2358ba5709a2c35287bbea31bf15651b4c9c168","observation_id":"1b4f80f2-3a2f-4e10-b65c-06e434a48e91","resolution":{"observed_at":"2026-05-17T04:58:10.247590Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-07T04:22:31.952262Z","title":"Evaluating spatial understand- ing of large language models.arXiv preprint arXiv:2310.14540, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10853","last_updated":"2025-06-12T16:14:32Z","snapshot_observed_at":"2026-08-07T04:14:10.429669Z","submitted_at":"2025-06-12T16:14:32Z","title":"A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:22:31.952262Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2506.10853"},"observation_digest":"sha256:b8282efed30f0616b4aff1a6416d861f106e5208c7668b237cdaedd8a277cddb","observation_id":"1c6c0c29-4e11-499e-9ddd-634bde7810e6","resolution":{"observed_at":"2026-08-07T04:22:31.952262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-06T18:42:37.107691Z","title":"org/CorpusID:274446060","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07644","last_updated":"2026-05-25T12:09:37Z","snapshot_observed_at":"2026-08-06T18:33:39.875357Z","submitted_at":"2025-07-10T11:16:48Z","title":"FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T18:42:37.107691Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2507.07644"},"observation_digest":"sha256:934c399c85521cec69b97b40be5ded59d0bbc202f1d05596dfe8e7f0b968170c","observation_id":"ba5982b8-ba7c-4116-9dd4-638fd6d401fa","resolution":{"observed_at":"2026-08-06T18:42:37.107691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-05T20:05:11.770715Z","title":"Evaluating spatial understanding of large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.11286","last_updated":"2025-08-15T07:48:51Z","snapshot_observed_at":"2026-08-07T23:38:03.610009Z","submitted_at":"2025-08-15T07:48:51Z","title":"Scene Graph-Guided Proactive Replanning for Failure-Resilient Embodied Agent","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T20:05:11.770715Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2508.11286"},"observation_digest":"sha256:8abcae83af484021d35a25d3ce014f59592c0dc6e6f600df13102f091c7f69f8","observation_id":"cf89d0c7-8cf9-413d-868c-0ddfbb68dd94","resolution":{"observed_at":"2026-08-05T20:05:11.770715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-05T18:06:03.140867Z","title":"arXiv preprint arXiv:2310.14540 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15232","last_updated":"2025-08-21T04:43:35Z","snapshot_observed_at":"2026-08-07T11:07:22.139611Z","submitted_at":"2025-08-21T04:43:35Z","title":"AeroDuo: Aerial Duo for UAV-based Vision and Language Navigation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T18:06:03.140867Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2508.15232"},"observation_digest":"sha256:47e736621263268f7dde42961770a9cf9adf82e707abc38cce5274bcb1a3ef0e","observation_id":"f8c84c9e-3c54-405b-94a6-d662cd229fb4","resolution":{"observed_at":"2026-08-05T18:06:03.140867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-03T23:08:54.820458Z","title":"Evaluating spatial understanding of large language models.arXiv preprint arXiv:2310.14540,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.07403","last_updated":"2026-07-02T19:21:24Z","snapshot_observed_at":"2026-08-07T07:35:15.256090Z","submitted_at":"2025-11-10T18:52:47Z","title":"SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T23:08:54.820458Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2511.07403"},"observation_digest":"sha256:bce374189649d6c50f093c01b16e78a1e08ea98d46deda413dfdc706be6bcf7a","observation_id":"2da96a50-0811-4637-a97e-afca4a1a2534","resolution":{"observed_at":"2026-08-03T23:08:54.820458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.14540","doi":"10.48550/arxiv.2310.14540","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yamada, Y","venue":"arXiv (Cornell University)","work_id":"58cdd9aa-5195-4278-8c0f-bb9452abdd37","year":2023},"citing_paper":{"arxiv_id":"2602.04850","last_updated":"2026-04-14T01:09:29Z","snapshot_observed_at":"2026-07-29T14:33:02.912292Z","submitted_at":"2026-02-04T18:38:50Z","title":"El Agente Quntur: A research collaborator agent for quantum chemistry","version":2},"reference_index":105,"source":"pdf_text","source_observed_at":"2026-05-16T06:48:44.713745Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2602.04850"},"observation_digest":"sha256:9198fc04c7c63528f3d0af5290c9486fb62f8d368822e887ae519298c26dfe21","observation_id":"b3121184-1b27-491b-ba86-dc75731e165e","resolution":{"observed_at":"2026-05-16T06:50:42.372864Z","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":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.14540","doi":"10.48550/arxiv.2310.14540","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yamada, Y","venue":"arXiv (Cornell University)","work_id":"58cdd9aa-5195-4278-8c0f-bb9452abdd37","year":2023},"citing_paper":{"arxiv_id":"2605.18380","last_updated":"2026-05-18T13:26:14Z","snapshot_observed_at":"2026-08-02T08:42:16.384161Z","submitted_at":"2026-05-18T13:26:14Z","title":"QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-20T11:18:08.326304Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2605.18380"},"observation_digest":"sha256:b9d0914a683d714ba4ca138a88fc0de90dd8c4940c5f531da5a8986e47add888","observation_id":"69b895ad-9854-43dd-9944-ad62eb11ec71","resolution":{"observed_at":"2026-05-20T11:18:13.566635Z","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":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.14540","doi":"10.48550/arxiv.2310.14540","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yamada, Y","venue":"arXiv (Cornell University)","work_id":"58cdd9aa-5195-4278-8c0f-bb9452abdd37","year":2023},"citing_paper":{"arxiv_id":"2606.02211","last_updated":"2026-06-01T13:10:49Z","snapshot_observed_at":"2026-08-02T18:41:16.377453Z","submitted_at":"2026-06-01T13:10:49Z","title":"Consistency Training while Mitigating Obfuscation via Rate Matching","version":1},"reference_index":127,"source":"arxiv_source","source_observed_at":"2026-06-28T14:25:43.147442Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2606.02211"},"observation_digest":"sha256:2f10a462a28fa33fd7c6eca56d627178c2eb822f4eaca61182bd2f0fc84ed492","observation_id":"0678bb0e-5764-4824-b321-7898a1232dfc","resolution":{"observed_at":"2026-06-28T14:32:18.083542Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2310.14540","last_updated":"2024-04-13T01:59:06Z","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.14540","doi":"10.48550/arxiv.2310.14540","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.14540","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yamada, Y","venue":"arXiv (Cornell University)","work_id":"58cdd9aa-5195-4278-8c0f-bb9452abdd37","year":2023},"citing_paper":{"arxiv_id":"2606.27378","last_updated":"2026-05-07T04:04:25Z","snapshot_observed_at":"2026-07-07T00:01:34.696890Z","submitted_at":"2026-05-07T04:04:25Z","title":"Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-06-30T23:50:48.584391Z"},"links":{"cited_paper":"/paper/2310.14540","citing_paper":"/paper/2606.27378"},"observation_digest":"sha256:f3c466925a3b89e7daa03f2e74c2b952eb77c318a777f3a6086fb4f8b43a8cf0","observation_id":"49933303-3705-4317-a074-8367b0b862b2","resolution":{"observed_at":"2026-07-01T13:15:45.675528Z","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/2310.14540/citation-record","integrity":"/paper/2310.14540/integrity","json":"/paper/2310.14540/citation-record.json","paper":"/paper/2310.14540"},"outbound":[],"paper":{"arxiv_id":"2310.14540","last_updated":"2024-04-13T01:59:06Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T09:56:38.377469Z","submitted_at":"2023-10-23T03:44:40Z","title":"Evaluating Spatial Understanding of 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2310.14540."}