{"as_of":"2026-08-11T22:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fcaf53f0ca3d08366a9b2f649cac32eb69c52bd32551019b57ee772859141e23","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T05:48:04.871819Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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":"2026-08-03T06:07:39.996498Z","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":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"cited_work":{"arxiv_id":"2412.17146","doi":"10.48550/arxiv.2412.17146","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.17146","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llm agent for fire dynamics simulations","venue":"arXiv (Cornell University)","work_id":"2e584420-f299-487c-b298-f3e4b27bcdb0","year":2024},"citing_paper":{"arxiv_id":"2604.09552","last_updated":"2026-06-05T13:56:30Z","snapshot_observed_at":"2026-08-03T06:07:39.172822Z","submitted_at":"2026-01-31T03:09:47Z","title":"MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-16T09:29:32.250418Z"},"links":{"cited_paper":"/paper/2412.17146","citing_paper":"/paper/2604.09552"},"observation_digest":"sha256:5f0eea9c77366d97073f6f281e81060a52cfcdcb892cf7bced69fb9728bd26a3","observation_id":"15e8e9c9-dd40-4bf8-80fb-acfcb963628f","resolution":{"observed_at":"2026-05-16T09:30:48.224679Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.17146","snapshot_observed_at":"2026-08-03T06:07:39.996498Z","title":"Llm agent for fire dynamics simulations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.09552","last_updated":"2026-06-05T13:56:30Z","snapshot_observed_at":"2026-08-03T06:07:39.172822Z","submitted_at":"2026-01-31T03:09:47Z","title":"MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T06:07:39.996498Z"},"links":{"cited_paper":"/paper/2412.17146","citing_paper":"/paper/2604.09552"},"observation_digest":"sha256:b411fafc6bad87553350531d21d9ea407e33d307d1c8d05e779841821d13229d","observation_id":"8967e028-ce35-42bb-a128-2a2e78a30175","resolution":{"observed_at":"2026-08-03T06:07:39.996498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"cited_work":{"arxiv_id":"2412.17146","doi":"10.48550/arxiv.2412.17146","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.17146","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llm agent for fire dynamics simulations","venue":"arXiv (Cornell University)","work_id":"2e584420-f299-487c-b298-f3e4b27bcdb0","year":2024},"citing_paper":{"arxiv_id":"2605.06607","last_updated":"2026-05-12T22:57:53Z","snapshot_observed_at":"2026-07-06T23:19:00.794334Z","submitted_at":"2026-05-07T17:27:23Z","title":"AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-08T05:49:04.698675Z"},"links":{"cited_paper":"/paper/2412.17146","citing_paper":"/paper/2605.06607"},"observation_digest":"sha256:aab1619d5c47a2c6d25520500f8d21fda7970f705cf941ad3e302c1e493b5ebf","observation_id":"f455b3f3-6680-4b4f-975d-d542b070f7cf","resolution":{"observed_at":"2026-05-08T23:34:25.500058Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"cited_work":{"arxiv_id":"2412.17146","doi":"10.48550/arxiv.2412.17146","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.17146","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llm agent for fire dynamics simulations","venue":"arXiv (Cornell University)","work_id":"2e584420-f299-487c-b298-f3e4b27bcdb0","year":2024},"citing_paper":{"arxiv_id":"2605.06607","last_updated":"2026-05-12T22:57:53Z","snapshot_observed_at":"2026-07-06T23:19:00.794334Z","submitted_at":"2026-05-07T17:27:23Z","title":"AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-11T02:05:57.854868Z"},"links":{"cited_paper":"/paper/2412.17146","citing_paper":"/paper/2605.06607"},"observation_digest":"sha256:fdeb49a95d3122cbbb164d56582fc4863ce2c855ecba0b4183841291022a2938","observation_id":"96ab7e3b-d52a-45fd-9b00-999b075b74bc","resolution":{"observed_at":"2026-05-11T02:10:53.108512Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"cited_work":{"arxiv_id":"2412.17146","doi":"10.48550/arxiv.2412.17146","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.17146","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llm agent for fire dynamics simulations","venue":"arXiv (Cornell University)","work_id":"2e584420-f299-487c-b298-f3e4b27bcdb0","year":2024},"citing_paper":{"arxiv_id":"2605.06607","last_updated":"2026-05-12T22:57:53Z","snapshot_observed_at":"2026-07-06T23:19:00.794334Z","submitted_at":"2026-05-07T17:27:23Z","title":"AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-14T22:02:47.160731Z"},"links":{"cited_paper":"/paper/2412.17146","citing_paper":"/paper/2605.06607"},"observation_digest":"sha256:4d862b2fd39b32d634af19c58a64571eaf2eecf8e05a9f1cc1dee552d007a4ce","observation_id":"f8f3f778-394d-4d24-b096-372e364e5605","resolution":{"observed_at":"2026-05-14T22:03:01.586118Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.17146/citation-record","integrity":"/paper/2412.17146/integrity","json":"/paper/2412.17146/citation-record.json","paper":"/paper/2412.17146"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-11T05:48:04.823330Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.823330Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:bbd25fb6454acd005c31659c66ee7000d5f3308983f1525c7b5c1b5c82c6da51","observation_id":"d2adbe92-ba65-4954-bbc5-066617b789c1","resolution":{"observed_at":"2026-08-11T05:48:04.823330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00515","last_updated":"2024-11-10T22:02:27Z","snapshot_observed_at":"2026-07-29T20:40:25.374189Z","submitted_at":"2024-06-01T17:48:15Z","title":"A Survey on Large Language Models for Code Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00515","snapshot_observed_at":"2026-08-11T05:48:04.828016Z","title":"A survey on large language models for code generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.828016Z"},"links":{"cited_paper":"/paper/2406.00515","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:bb5455f678fec8ff14bc4ae82414428780b76c28316160fdfc9d99bc99944d38","observation_id":"5dec59e8-2408-4ce9-9e90-cba219e9ca1e","resolution":{"observed_at":"2026-08-11T05:48:04.828016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.00352","last_updated":"2024-11-01T14:36:52Z","snapshot_observed_at":"2026-07-06T16:01:07.532053Z","submitted_at":"2023-08-01T07:49:10Z","title":"MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.00352","snapshot_observed_at":"2026-08-11T05:48:04.838123Z","title":"Metagpt: Meta programming for multi-agent collaborative framework","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.838123Z"},"links":{"cited_paper":"/paper/2308.00352","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:5d1dd5e0195a0729935b9c289af460d0da5eff881a4b07ca85689811f711773a","observation_id":"be258f25-f67c-44b7-a726-fd1517329fe5","resolution":{"observed_at":"2026-08-11T05:48:04.838123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17134","last_updated":"2024-10-28T17:33:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-03-25T19:17:43Z","title":"RepairAgent: An Autonomous, LLM-Based Agent for Program Repair","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17134","snapshot_observed_at":"2026-08-11T05:48:04.843009Z","title":"Repairagent: An autonomous, llm-based agent for program repair","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.843009Z"},"links":{"cited_paper":"/paper/2403.17134","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:44aa0e219cecf76b159a78dc2ddfe2884cbd0f1c5888ed582d97b7060c4211ec","observation_id":"f88ca0ec-ca1d-4d6f-b7a4-cdbc443d8c6d","resolution":{"observed_at":"2026-08-11T05:48:04.843009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18092","last_updated":"2024-07-22T14:03:48Z","snapshot_observed_at":"2026-08-11T00:45:40.709506Z","submitted_at":"2024-05-28T11:59:40Z","title":"LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18092","snapshot_observed_at":"2026-08-11T05:48:04.848175Z","title":"Llm experiments with simulation: Large language model multi-agent system for process simulation parametrization in digital twins","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.848175Z"},"links":{"cited_paper":"/paper/2405.18092","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:56612816c9a9674a1d056d81b26905eddd10a2c7c18950d62e291d174ef17457","observation_id":"13feda07-6488-4cf5-a247-36b8909245a3","resolution":{"observed_at":"2026-08-11T05:48:04.848175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-11T05:48:04.807749Z","title":"Language models are few-shot learners","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.807749Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:acdc8127609452f9e5b188240f26814bdf3049c7104738501118f67651f7b00b","observation_id":"78f6c8dc-d6e6-4f40-9986-e2848029ccc9","resolution":{"observed_at":"2026-08-11T05:48:04.807749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21320","last_updated":"2024-08-07T04:34:11Z","snapshot_observed_at":"2026-07-06T18:54:49.923926Z","submitted_at":"2024-07-31T04:01:08Z","title":"MetaOpenFOAM: an LLM-based multi-agent framework for CFD","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21320","snapshot_observed_at":"2026-08-11T05:48:04.852615Z","title":"Metaopenfoam: an llm-based multi-agent framework for cfd","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.852615Z"},"links":{"cited_paper":"/paper/2407.21320","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:3387a58b0362351e9d8de9f16ddf650965e83934185051dc61cb4fb7fb28f225","observation_id":"f355f4e6-7a56-4e6a-b2d8-a36d594cb9be","resolution":{"observed_at":"2026-08-11T05:48:04.852615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08281","last_updated":"2025-10-23T09:36:08Z","snapshot_observed_at":"2026-07-31T05:45:37.385210Z","submitted_at":"2024-01-16T11:12:36Z","title":"The Faiss library","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08281","snapshot_observed_at":"2026-08-11T05:48:04.861960Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.861960Z"},"links":{"cited_paper":"/paper/2401.08281","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:f39e6d2d912f65301d4f3793e1781eacbe4f62a9e30c9f51c07de3dd62a9f48b","observation_id":"db4b3d3d-34a1-4c46-8cff-ccbce69cf542","resolution":{"observed_at":"2026-08-11T05:48:04.861960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15884","last_updated":"2024-10-07T02:19:21Z","snapshot_observed_at":"2026-08-10T21:04:30.672163Z","submitted_at":"2024-01-29T04:36:39Z","title":"Corrective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.15884","snapshot_observed_at":"2026-08-11T05:48:04.867409Z","title":"Corrective retrieval augmented generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.867409Z"},"links":{"cited_paper":"/paper/2401.15884","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:59046051bea724bd355c61b83c40f79ed013f5dd95c47c2b8a0f5119c1214556","observation_id":"9c357817-fac9-416f-b060-cbd3d32b3848","resolution":{"observed_at":"2026-08-11T05:48:04.867409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11511","last_updated":"2023-10-17T18:18:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-17T18:18:32Z","title":"Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11511","snapshot_observed_at":"2026-08-11T05:48:04.871819Z","title":"Self-rag: Learning to retrieve, generate, and critique through self-reflection","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.871819Z"},"links":{"cited_paper":"/paper/2310.11511","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:010576750e2513d0806834f3e9df1d226604fee8f9960eb306d5778a54ffddca","observation_id":"377c8aad-6702-4840-9209-a9e6d7a46031","resolution":{"observed_at":"2026-08-11T05:48:04.871819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12950","last_updated":"2024-01-31T19:47:26Z","snapshot_observed_at":"2026-07-06T16:10:07.931347Z","submitted_at":"2023-08-24T17:39:13Z","title":"Code Llama: Open Foundation Models for Code","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12950","snapshot_observed_at":"2026-08-11T05:48:04.812849Z","title":"Code llama: Open foundation models for code","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.812849Z"},"links":{"cited_paper":"/paper/2308.12950","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:c21704bacc46ed047dea8ed86ba09927a6383f1812227fe29971931b4062fa73","observation_id":"b4da7ee9-d173-430f-a901-890080966038","resolution":{"observed_at":"2026-08-11T05:48:04.812849Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:48:05.099658Z","title":null,"venue":null,"work_id":"077e927c-e2fa-481d-a203-bce4f9bce884","year":2024},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.802847Z"},"links":{"citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:613ec85e6e93b10416a0f2aef11d10d4e19245946b6d0cabc6fc7048981b6255","observation_id":"60eed478-7f65-403f-87fc-da41f1b8af1e","resolution":{"observed_at":"2026-08-11T05:48:05.104253Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:48:05.084116Z","title":"Learning to reason with LLMs","venue":null,"work_id":"5aa545c8-bccb-457d-b915-6fcd762608a1","year":2024},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.857287Z"},"links":{"citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:17fed5165ed8ab076f89c56df1442c91f052502e01e55a19f41d014070c25e72","observation_id":"662bfef3-161c-47ed-9474-5910a30014de","resolution":{"observed_at":"2026-08-11T05:48:05.089730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08155","last_updated":"2020-09-18T15:38:12Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-02-19T13:09:07Z","title":"CodeBERT: A Pre-Trained Model for Programming and Natural Languages","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08155","snapshot_observed_at":"2026-08-11T05:48:04.817845Z","title":"Codebert: A pre-trained model for programming and natural languages","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.817845Z"},"links":{"cited_paper":"/paper/2002.08155","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:92e4a3dbc6859741c277bc41fc35bc2219ea72984fb278c350e7e367cf136c4a","observation_id":"39f3e895-3c65-4690-9de4-7f1ee7372664","resolution":{"observed_at":"2026-08-11T05:48:04.817845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.02977","last_updated":"2025-12-03T03:33:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-04T15:59:41Z","title":"Large Language Model-Based Agents for Software Engineering: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.02977","snapshot_observed_at":"2026-08-11T05:48:04.833137Z","title":"Large language model-based agents for software engineering: A survey","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-11T05:48:04.833137Z"},"links":{"cited_paper":"/paper/2409.02977","citing_paper":"/paper/2412.17146"},"observation_digest":"sha256:8399e1355bff5e1b81cacca7619b93453a6d872c6e3704c113050b3116eaf812","observation_id":"2f1f0581-98e0-4a22-94ef-c1ede1b193b8","resolution":{"observed_at":"2026-08-11T05:48:04.833137Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.17146","last_updated":"2024-12-22T20:03:35Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-11T05:42:52.187611Z","submitted_at":"2024-12-22T20:03:35Z","title":"LLM Agent for Fire Dynamics Simulations"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":15},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 5 inbound Pith citation observations for arXiv:2412.17146."}