{"as_of":"2026-08-08T12:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:40fa07b9b01923c375db66f147d05643d2e3dfa5f50ccc31da3b4a4a987339c6","coverage":[{"denominator":10,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T01:15:41.668055Z","state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2602.10282/citation-record","integrity":"/paper/2602.10282/integrity","json":"/paper/2602.10282/citation-record.json","paper":"/paper/2602.10282"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.06261","last_updated":"2025-12-19T14:25:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:36:04Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.06261","snapshot_observed_at":"2026-08-03T01:15:41.018901Z","title":"Gemini Team, Google","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T01:15:41.018901Z"},"links":{"cited_paper":"/paper/2507.06261","citing_paper":"/paper/2602.10282"},"observation_digest":"sha256:c34e4771ae92fe009aa786f71822acd6d6038d7930f6912f67d74203f33d5809","observation_id":"0ec465a1-9d69-466f-8483-a8d8a1ff28e8","resolution":{"observed_at":"2026-08-03T01:15:41.018901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20747","last_updated":"2025-02-28T05:53:16Z","snapshot_observed_at":"2026-08-07T17:40:51.223296Z","submitted_at":"2025-02-28T05:53:16Z","title":"Measuring Determinism in Large Language Models for Software Code Review","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20747","snapshot_observed_at":"2026-08-03T01:15:41.159292Z","title":"Emre Kiciman, Robert Ness, Amit Sharma, and Chenhao Tan","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T01:15:41.159292Z"},"links":{"cited_paper":"/paper/2502.20747","citing_paper":"/paper/2602.10282"},"observation_digest":"sha256:baab86082fa133c1b6006024dea98e27fc5492ffd7f0a0914807d02c01908e6e","observation_id":"91f73ab1-c833-46c9-8c62-ed30aedcf46d","resolution":{"observed_at":"2026-08-03T01:15:41.159292Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.05524","last_updated":"2023-04-11T22:30:03Z","snapshot_observed_at":"2026-08-03T08:08:17.266689Z","submitted_at":"2023-04-11T22:30:03Z","title":"Understanding Causality with Large Language Models: Feasibility and Opportunities","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.05524","snapshot_observed_at":"2026-08-03T01:15:41.475092Z","title":"Karan Singhal, Shekoofeh Azizi, Tao Tu, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T01:15:41.475092Z"},"links":{"cited_paper":"/paper/2304.05524","citing_paper":"/paper/2602.10282"},"observation_digest":"sha256:c5d2fde55e623c62c2db8aa1cce9814d0d8ee475ab6b4d2bfec895d0363be344","observation_id":"3b22c1ff-cd58-4293-8601-d1718142a747","resolution":{"observed_at":"2026-08-03T01:15:41.475092Z","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":"2026-08-03T01:15:41.569538Z","title":"Unlike these approaches, we assume pre-specified causal DAG structures without observational data","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T01:15:41.569538Z"},"links":{"citing_paper":"/paper/2602.10282"},"observation_digest":"sha256:7f01f01f2f301817144903a98bace66725b684e9c00b758d1954a4ab8d23a72b","observation_id":"704314b8-2f7e-4ac3-9348-fa83359b43ef","resolution":{"observed_at":"2026-08-03T01:15:41.569538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-03T01:15:41.206129Z","title":"doi: 10.1007/s00291-020-00588-8","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-03T01:15:41.206129Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2602.10282"},"observation_digest":"sha256:339f4bb8d8ac0838305349e741cb6a92dbede4a01714f0034b78e674ffdeac19","observation_id":"aa75a756-cfb7-42bf-b0c7-2d2f07da3cd2","resolution":{"observed_at":"2026-08-03T01:15:41.206129Z","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":"2026-08-03T01:15:40.976449Z","title":"doi: 10.18653/v1/2023.acl-long.302","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-03T01:15:40.976449Z"},"links":{"citing_paper":"/paper/2602.10282"},"observation_digest":"sha256:22df03048031a1ee321447188c2c68c8ea650476f63172463b24406e8147f9ed","observation_id":"228aaee2-07fc-4d52-8f5d-3c7dd44227ac","resolution":{"observed_at":"2026-08-03T01:15:40.976449Z","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":"2026-08-03T01:15:41.278716Z","title":"Judea Pearl","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T01:15:41.278716Z"},"links":{"citing_paper":"/paper/2602.10282"},"observation_digest":"sha256:f7f8c8d48556ae5cf301fa50445df71c1d14bc8819e187b929088ade417724e4","observation_id":"f1adc192-f51e-4d71-8d06-7a577b8e1e01","resolution":{"observed_at":"2026-08-03T01:15:41.278716Z","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":"2026-08-03T01:15:41.668055Z","title":"Gaussian","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-03T01:15:41.668055Z"},"links":{"citing_paper":"/paper/2602.10282"},"observation_digest":"sha256:5aaa7b643d072d07a02a8914eb4b7740e704f518562ef9c684ba95e01e8aa083","observation_id":"519aa7a1-b865-40cd-a51a-0b717d118a74","resolution":{"observed_at":"2026-08-03T01:15:41.668055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.10122","last_updated":"2018-05-09T09:06:27Z","snapshot_observed_at":"2026-07-31T21:36:45.596575Z","submitted_at":"2018-03-27T15:08:55Z","title":"World Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.10122","snapshot_observed_at":"2026-08-03T01:15:41.090801Z","title":"David Ha and J ¨urgen Schmidhuber","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models","version":2},"reference_index":7928,"source":"pdf_text","source_observed_at":"2026-08-03T01:15:41.090801Z"},"links":{"cited_paper":"/paper/1803.10122","citing_paper":"/paper/2602.10282"},"observation_digest":"sha256:16dbb187c52d7c102a001875ce3aa7e5b4e53cbf3983a894d0338ff62b113d14","observation_id":"cf841f96-1e54-40d5-9816-63996c099873","resolution":{"observed_at":"2026-08-03T01:15:41.090801Z","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":"10.1016/j.heliyon.2023.e23798","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"URLhttps://www.sciencedirect.com/ science/article/pii/S2405844023110061","venue":"Heliyon","work_id":"78764c35-4c3b-420b-8d3a-c1f64eab4a16","year":2023},"citing_paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models","version":2},"reference_index":8440,"source":"pdf_text","source_observed_at":"2026-08-03T01:15:41.338937Z"},"links":{"citing_paper":"/paper/2602.10282"},"observation_digest":"sha256:730e841f255cf979da518bb373978c41456bdce0d76596eede9d02ceb39c803a","observation_id":"51c3c486-41ef-4cd8-8e03-aee58e3b580f","resolution":{"observed_at":"2026-08-03T01:18:54.790490Z","resolver_source":"doi","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"}}],"paper":{"arxiv_id":"2602.10282","last_updated":"2026-07-28T13:02:22Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T19:42:56.769223Z","submitted_at":"2026-02-10T20:49:01Z","title":"Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models"},"reference_resolution":{"displayed":10,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":10},"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 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2602.10282."}