{"as_of":"2026-08-08T18:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4fabb0b07126817395b90ae5c507e03501a579c9b5a627eeabfe530134aebe0b","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:56:19.053872Z","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":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.08166","last_updated":"2023-11-14T13:49:03Z","snapshot_observed_at":"2026-07-06T16:47:21.000236Z","submitted_at":"2023-11-14T13:49:03Z","title":"MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08166","snapshot_observed_at":"2026-08-05T22:56:19.053872Z","title":"& author Buehler, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06591","last_updated":"2025-08-08T10:41:03Z","snapshot_observed_at":"2026-08-05T22:55:44.725352Z","submitted_at":"2025-08-08T10:41:03Z","title":"Generative Artificial Intelligence Extracts Structure-Function Relationships from Plants for New Materials","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T22:56:19.053872Z"},"links":{"cited_paper":"/paper/2311.08166","citing_paper":"/paper/2508.06591"},"observation_digest":"sha256:bfeec6267bfadaba3e4cfc4296b558e236edb2e51a24f5e9ee58cf076742ef03","observation_id":"48b270ea-f5c4-4882-910a-ee2326a826f3","resolution":{"observed_at":"2026-08-05T22:56:19.053872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08166","last_updated":"2023-11-14T13:49:03Z","snapshot_observed_at":"2026-07-06T16:47:21.000236Z","submitted_at":"2023-11-14T13:49:03Z","title":"MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge","version":1},"cited_work":{"arxiv_id":"2311.08166","doi":"10.48550/arxiv.2311.08166","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.08166","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MechAgents: Large lan- guage model multi-agent collaborations can solve mechan- ics problems, generate new data, and integrate knowledge","venue":"arXiv (Cornell University)","work_id":"cb51cc4f-a33f-430e-8261-a491a198049a","year":2023},"citing_paper":{"arxiv_id":"2603.21011","last_updated":"2026-04-13T22:50:31Z","snapshot_observed_at":"2026-08-02T09:15:35.839681Z","submitted_at":"2026-01-08T21:25:59Z","title":"ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-16T15:49:36.623425Z"},"links":{"cited_paper":"/paper/2311.08166","citing_paper":"/paper/2603.21011"},"observation_digest":"sha256:b9d7b36939202d8dc1795bce26eb5c0f22f88c55789e6e7e06b1a4c0ded6c4ef","observation_id":"4b61819e-7312-4d80-90ec-a59c28674322","resolution":{"observed_at":"2026-05-16T15:51:05.260945Z","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":"2026-05-20T23:23:32.050047+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T23:23:32.050047+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08166","last_updated":"2023-11-14T13:49:03Z","snapshot_observed_at":"2026-07-06T16:47:21.000236Z","submitted_at":"2023-11-14T13:49:03Z","title":"MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge","version":1},"cited_work":{"arxiv_id":"2311.08166","doi":"10.48550/arxiv.2311.08166","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.08166","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MechAgents: Large lan- guage model multi-agent collaborations can solve mechan- ics problems, generate new data, and integrate knowledge","venue":"arXiv (Cornell University)","work_id":"cb51cc4f-a33f-430e-8261-a491a198049a","year":2023},"citing_paper":{"arxiv_id":"2605.18630","last_updated":"2026-05-18T16:34:45Z","snapshot_observed_at":"2026-07-06T23:29:29.105126Z","submitted_at":"2026-05-18T16:34:45Z","title":"SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-20T10:36:09.724234Z"},"links":{"cited_paper":"/paper/2311.08166","citing_paper":"/paper/2605.18630"},"observation_digest":"sha256:3e59ba6ec0d15f85d55e600f22356f0649214fdd8436df04d5628a3161363033","observation_id":"ab5d95f8-a4de-4084-9294-b56af5cd19f1","resolution":{"observed_at":"2026-05-20T10:38:12.195249Z","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":"2026-05-20T23:23:32.050047+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T23:23:32.050047+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08166","last_updated":"2023-11-14T13:49:03Z","snapshot_observed_at":"2026-07-06T16:47:21.000236Z","submitted_at":"2023-11-14T13:49:03Z","title":"MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge","version":1},"cited_work":{"arxiv_id":"2311.08166","doi":"10.48550/arxiv.2311.08166","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.08166","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MechAgents: Large lan- guage model multi-agent collaborations can solve mechan- ics problems, generate new data, and integrate knowledge","venue":"arXiv (Cornell University)","work_id":"cb51cc4f-a33f-430e-8261-a491a198049a","year":2023},"citing_paper":{"arxiv_id":"2605.21622","last_updated":"2026-05-20T18:32:56Z","snapshot_observed_at":"2026-07-06T23:32:01.202542Z","submitted_at":"2026-05-20T18:32:56Z","title":"TO-Agents: A Multi-Agent AI Pipeline for Preference-Guided Topology Optimization","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-22T09:33:43.733883Z"},"links":{"cited_paper":"/paper/2311.08166","citing_paper":"/paper/2605.21622"},"observation_digest":"sha256:d602abd1badb61751b4edd0a27e4efc8a8c1b1d18eb3bf54e195255181b6da9a","observation_id":"8f379924-2b8e-4633-bf1e-1425b8209faf","resolution":{"observed_at":"2026-05-22T09:34:46.914178Z","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":"2026-05-20T23:23:32.050047+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T23:23:32.050047+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08166","last_updated":"2023-11-14T13:49:03Z","snapshot_observed_at":"2026-07-06T16:47:21.000236Z","submitted_at":"2023-11-14T13:49:03Z","title":"MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge","version":1},"cited_work":{"arxiv_id":"2311.08166","doi":"10.48550/arxiv.2311.08166","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.08166","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MechAgents: Large lan- guage model multi-agent collaborations can solve mechan- ics problems, generate new data, and integrate knowledge","venue":"arXiv (Cornell University)","work_id":"cb51cc4f-a33f-430e-8261-a491a198049a","year":2023},"citing_paper":{"arxiv_id":"2606.09774","last_updated":"2026-06-25T18:32:21Z","snapshot_observed_at":"2026-07-06T23:49:03.237958Z","submitted_at":"2026-06-08T17:35:17Z","title":"Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-27T16:14:26.278017Z"},"links":{"cited_paper":"/paper/2311.08166","citing_paper":"/paper/2606.09774"},"observation_digest":"sha256:39dfdd3e9795db03bcfc45d2d5d19c06eb4c6fa83a85225ec7a7b0c2c4c5287f","observation_id":"39107686-cfa7-4df6-9f44-179e36e9085a","resolution":{"observed_at":"2026-07-03T01:47:32.159933Z","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":"2026-05-20T23:23:32.050047+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T23:23:32.050047+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08166","last_updated":"2023-11-14T13:49:03Z","snapshot_observed_at":"2026-07-06T16:47:21.000236Z","submitted_at":"2023-11-14T13:49:03Z","title":"MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge","version":1},"cited_work":{"arxiv_id":"2311.08166","doi":"10.48550/arxiv.2311.08166","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.08166","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MechAgents: Large lan- guage model multi-agent collaborations can solve mechan- ics problems, generate new data, and integrate knowledge","venue":"arXiv (Cornell University)","work_id":"cb51cc4f-a33f-430e-8261-a491a198049a","year":2023},"citing_paper":{"arxiv_id":"2606.09774","last_updated":"2026-06-25T18:32:21Z","snapshot_observed_at":"2026-07-06T23:49:03.237958Z","submitted_at":"2026-06-08T17:35:17Z","title":"Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-06-29T05:25:29.078764Z"},"links":{"cited_paper":"/paper/2311.08166","citing_paper":"/paper/2606.09774"},"observation_digest":"sha256:9ccae7df87f9484129743eee87654afe8c47549e401fc45461f724d95c289e8a","observation_id":"5c121d08-aace-4b8a-a8a6-bd71f23dc658","resolution":{"observed_at":"2026-06-29T15:23:33.004589Z","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":"2026-05-20T23:23:32.050047+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T23:23:32.050047+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.08166/citation-record","integrity":"/paper/2311.08166/integrity","json":"/paper/2311.08166/citation-record.json","paper":"/paper/2311.08166"},"outbound":[],"paper":{"arxiv_id":"2311.08166","last_updated":"2023-11-14T13:49:03Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T16:47:21.000236Z","submitted_at":"2023-11-14T13:49:03Z","title":"MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.08166."}