{"as_of":"2026-08-07T05:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9b2bf5742d7068c84931fdcf1b8a8b5cdc173db56251a2bbdf990913271f0c53","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:54:48.118975Z","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":"2026-05-23T01:12:20.771011Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.10276","last_updated":"2024-08-05T04:52:16Z","snapshot_observed_at":"2026-08-05T10:25:06.999919Z","submitted_at":"2023-05-17T15:07:50Z","title":"Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models","version":7},"cited_work":{"arxiv_id":"2305.10276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.10276","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chain-of- symbol prompting elicits planning in large langauge models","venue":null,"work_id":"2eb84299-0729-4e7b-8a63-675c1a3afda3","year":2023},"citing_paper":{"arxiv_id":"2503.22693","last_updated":"2026-05-20T06:35:51Z","snapshot_observed_at":"2026-08-02T19:43:11.453664Z","submitted_at":"2025-03-14T01:35:20Z","title":"Bridging Language Models and Financial Analysis","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-23T01:08:58.528533Z"},"links":{"cited_paper":"/paper/2305.10276","citing_paper":"/paper/2503.22693"},"observation_digest":"sha256:0e4ce7600af25c5ac61a73c731cd08ecd488aaa003a09fe2648ecee0f8f02040","observation_id":"4ea05107-40b0-4e9b-8155-8262db635be1","resolution":{"observed_at":"2026-05-23T01:12:20.774380Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10276","last_updated":"2024-08-05T04:52:16Z","snapshot_observed_at":"2026-08-05T10:25:06.999919Z","submitted_at":"2023-05-17T15:07:50Z","title":"Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10276","snapshot_observed_at":"2026-08-06T19:54:48.118975Z","title":"Chain-of-symbol prompting elicits planning in large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13362","last_updated":"2025-07-06T10:51:12Z","snapshot_observed_at":"2026-08-06T19:47:41.467899Z","submitted_at":"2025-07-06T10:51:12Z","title":"Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:54:48.118975Z"},"links":{"cited_paper":"/paper/2305.10276","citing_paper":"/paper/2507.13362"},"observation_digest":"sha256:b0d7063e957fae933871787674ab8ebf437cd61b7defb7dada0b8855c75dba20","observation_id":"a241cba3-ce08-431e-90ed-5525cdbb95cc","resolution":{"observed_at":"2026-08-06T19:54:48.118975Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10276","last_updated":"2024-08-05T04:52:16Z","snapshot_observed_at":"2026-08-05T10:25:06.999919Z","submitted_at":"2023-05-17T15:07:50Z","title":"Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models","version":7},"cited_work":{"arxiv_id":"2305.10276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.10276","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chain-of- symbol prompting elicits planning in large langauge models","venue":null,"work_id":"2eb84299-0729-4e7b-8a63-675c1a3afda3","year":2023},"citing_paper":{"arxiv_id":"2601.12358","last_updated":"2026-01-18T11:32:29Z","snapshot_observed_at":"2026-08-01T15:14:36.636242Z","submitted_at":"2026-01-18T11:32:29Z","title":"From Prompts to Pavement: LMMs-based Agentic Behavior-Tree Generation Framework for Autonomous Vehicles","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-21T15:28:09.702566Z"},"links":{"cited_paper":"/paper/2305.10276","citing_paper":"/paper/2601.12358"},"observation_digest":"sha256:ae4044b71753e6224d5bc355cfbebc9023b852126a7f09e3d851432b8a6056fa","observation_id":"eb561803-bab5-415d-a9e3-6d9f27f9f182","resolution":{"observed_at":"2026-05-21T15:30:17.854286Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10276","last_updated":"2024-08-05T04:52:16Z","snapshot_observed_at":"2026-08-05T10:25:06.999919Z","submitted_at":"2023-05-17T15:07:50Z","title":"Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models","version":7},"cited_work":{"arxiv_id":"2305.10276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.10276","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chain-of- symbol prompting elicits planning in large langauge models","venue":null,"work_id":"2eb84299-0729-4e7b-8a63-675c1a3afda3","year":2023},"citing_paper":{"arxiv_id":"2604.02812","last_updated":"2026-05-15T14:52:29Z","snapshot_observed_at":"2026-07-06T22:52:06.460027Z","submitted_at":"2026-04-03T07:27:33Z","title":"Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-13T20:11:58.423612Z"},"links":{"cited_paper":"/paper/2305.10276","citing_paper":"/paper/2604.02812"},"observation_digest":"sha256:cf585646e72323c34f0dba9630f6b30183cd0fd4a7606af13d7cdb7f7f550c82","observation_id":"98506d08-5f72-45a9-bfe5-a9b0d426396d","resolution":{"observed_at":"2026-05-13T20:13:13.307817Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10276","last_updated":"2024-08-05T04:52:16Z","snapshot_observed_at":"2026-08-05T10:25:06.999919Z","submitted_at":"2023-05-17T15:07:50Z","title":"Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models","version":7},"cited_work":{"arxiv_id":"2305.10276","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.10276","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chain-of- symbol prompting elicits planning in large langauge models","venue":null,"work_id":"2eb84299-0729-4e7b-8a63-675c1a3afda3","year":2023},"citing_paper":{"arxiv_id":"2604.02812","last_updated":"2026-05-15T14:52:29Z","snapshot_observed_at":"2026-07-06T22:52:06.460027Z","submitted_at":"2026-04-03T07:27:33Z","title":"Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-19T17:30:08.755545Z"},"links":{"cited_paper":"/paper/2305.10276","citing_paper":"/paper/2604.02812"},"observation_digest":"sha256:75d8e113c8ce339a2d58e709e750346c3a190b618f1a6125ada0a4ab0fa497a0","observation_id":"5aab1eff-2bce-4e79-937f-b0145172d945","resolution":{"observed_at":"2026-05-19T17:32:41.686291Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.10276/citation-record","integrity":"/paper/2305.10276/integrity","json":"/paper/2305.10276/citation-record.json","paper":"/paper/2305.10276"},"outbound":[],"paper":{"arxiv_id":"2305.10276","last_updated":"2024-08-05T04:52:16Z","latest_version":7,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T10:25:06.999919Z","submitted_at":"2023-05-17T15:07:50Z","title":"Chain-of-Symbol Prompting Elicits Planning in Large Langauge 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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.10276."}