{"as_of":"2026-08-09T21:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6eced651bce655c858cb6f7c043eba7893389c1654317a5b32531989f74daf25","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:53:39.705185Z","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":"2026-07-04T06:49:37.894038Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.17525","last_updated":"2025-04-30T18:23:36Z","snapshot_observed_at":"2026-07-06T18:06:12.068436Z","submitted_at":"2024-04-26T16:41:24Z","title":"Large Language Model Agent as a Mechanical Designer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17525","snapshot_observed_at":"2026-08-07T12:53:39.705185Z","title":"& Farimani, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00056","last_updated":"2025-08-23T04:47:22Z","snapshot_observed_at":"2026-08-07T12:48:08.627739Z","submitted_at":"2025-05-29T08:15:27Z","title":"Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T12:53:39.705185Z"},"links":{"cited_paper":"/paper/2404.17525","citing_paper":"/paper/2506.00056"},"observation_digest":"sha256:7547f73d726422dab8c41fbb6ec244dcc87e7ebbf7d79a93c4dbf805cf5cb1a9","observation_id":"fa154f5e-ea5b-4509-8b30-75b14897fef4","resolution":{"observed_at":"2026-08-07T12:53:39.705185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17525","last_updated":"2025-04-30T18:23:36Z","snapshot_observed_at":"2026-07-06T18:06:12.068436Z","submitted_at":"2024-04-26T16:41:24Z","title":"Large Language Model Agent as a Mechanical Designer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17525","snapshot_observed_at":"2026-08-06T19:57:53.145017Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00843","last_updated":"2025-07-05T23:30:17Z","snapshot_observed_at":"2026-08-07T16:46:16.973791Z","submitted_at":"2025-07-05T23:30:17Z","title":"Generative AI for CAD Automation: Leveraging Large Language Models for 3D Modelling","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:57:53.145017Z"},"links":{"cited_paper":"/paper/2404.17525","citing_paper":"/paper/2508.00843"},"observation_digest":"sha256:b655ae81e527db9897994698c18fbfbe8e33e21d7057145049a07c1a2cefdcd9","observation_id":"450e0240-0ba9-4b4f-9cbc-9e6292f1428a","resolution":{"observed_at":"2026-08-06T19:57:53.145017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17525","last_updated":"2025-04-30T18:23:36Z","snapshot_observed_at":"2026-07-06T18:06:12.068436Z","submitted_at":"2024-04-26T16:41:24Z","title":"Large Language Model Agent as a Mechanical Designer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17525","snapshot_observed_at":"2026-08-05T05:16:13.862514Z","title":"Jadhav and A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07010","last_updated":"2025-09-06T11:04:15Z","snapshot_observed_at":"2026-08-07T08:55:05.831901Z","submitted_at":"2025-09-06T11:04:15Z","title":"Human-in-the-Loop: Quantitative Evaluation of 3D Models Generation by Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T05:16:13.862514Z"},"links":{"cited_paper":"/paper/2404.17525","citing_paper":"/paper/2509.07010"},"observation_digest":"sha256:247df13b6a7053aa4aff2a127ca7b2f6d0df954da1b45f037e0307dda0154823","observation_id":"f49011ad-6b53-40a7-8d83-e02ce26e92db","resolution":{"observed_at":"2026-08-05T05:16:13.862514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17525","last_updated":"2025-04-30T18:23:36Z","snapshot_observed_at":"2026-07-06T18:06:12.068436Z","submitted_at":"2024-04-26T16:41:24Z","title":"Large Language Model Agent as a Mechanical Designer","version":3},"cited_work":{"arxiv_id":"2404.17525","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.17525","snapshot_observed_at":"2026-07-04T06:49:37.894038Z","title":"and Farimani, A","venue":null,"work_id":"c07dd168-bccc-4afa-ab86-a9982eef9d63","year":2024},"citing_paper":{"arxiv_id":"2509.20374","last_updated":"2026-04-26T17:39:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-19T22:21:26Z","title":"CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-18T15:05:37.519850Z"},"links":{"cited_paper":"/paper/2404.17525","citing_paper":"/paper/2509.20374"},"observation_digest":"sha256:2f39a2c639b8b8a94c61fdfbfae741f98753ae8775df8e6c8995138582810665","observation_id":"aec2a487-a27d-4ce3-8ab4-b605753ee137","resolution":{"observed_at":"2026-05-18T15:06:32.098242Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17525","last_updated":"2025-04-30T18:23:36Z","snapshot_observed_at":"2026-07-06T18:06:12.068436Z","submitted_at":"2024-04-26T16:41:24Z","title":"Large Language Model Agent as a Mechanical Designer","version":3},"cited_work":{"arxiv_id":"2404.17525","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.17525","snapshot_observed_at":"2026-07-04T06:49:37.894038Z","title":"and Farimani, A","venue":null,"work_id":"c07dd168-bccc-4afa-ab86-a9982eef9d63","year":2024},"citing_paper":{"arxiv_id":"2604.27300","last_updated":"2026-04-30T01:22:15Z","snapshot_observed_at":"2026-08-03T04:22:48.384946Z","submitted_at":"2026-04-30T01:22:15Z","title":"METASYMBO: Multi-Agent Language-Guided Metamaterial Discovery via Symbolic Latent Evolution","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-07T08:53:11.226238Z"},"links":{"cited_paper":"/paper/2404.17525","citing_paper":"/paper/2604.27300"},"observation_digest":"sha256:81e2468a66e4fc25fa5039d7aa01aba53ddcb189d2347db24fb14d99e5d96bcc","observation_id":"d2c186d7-9bc6-4cd1-8cb1-09efa22c87f5","resolution":{"observed_at":"2026-05-12T09:56:26.507018Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17525","last_updated":"2025-04-30T18:23:36Z","snapshot_observed_at":"2026-07-06T18:06:12.068436Z","submitted_at":"2024-04-26T16:41:24Z","title":"Large Language Model Agent as a Mechanical Designer","version":3},"cited_work":{"arxiv_id":"2404.17525","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.17525","snapshot_observed_at":"2026-07-04T06:49:37.894038Z","title":"and Farimani, A","venue":null,"work_id":"c07dd168-bccc-4afa-ab86-a9982eef9d63","year":2024},"citing_paper":{"arxiv_id":"2605.02592","last_updated":"2026-05-04T13:44:22Z","snapshot_observed_at":"2026-07-06T23:15:37.099197Z","submitted_at":"2026-05-04T13:44:22Z","title":"Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-05-08T17:59:50.936998Z"},"links":{"cited_paper":"/paper/2404.17525","citing_paper":"/paper/2605.02592"},"observation_digest":"sha256:980c46159fd10871c9baa949a992cb1097d8953a3c135b31b4e861092b7bf8c6","observation_id":"2c7e10ec-950b-4cc5-93f7-2be26c00676a","resolution":{"observed_at":"2026-05-09T06:50:41.994403Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17525","last_updated":"2025-04-30T18:23:36Z","snapshot_observed_at":"2026-07-06T18:06:12.068436Z","submitted_at":"2024-04-26T16:41:24Z","title":"Large Language Model Agent as a Mechanical Designer","version":3},"cited_work":{"arxiv_id":"2404.17525","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.17525","snapshot_observed_at":"2026-07-04T06:49:37.894038Z","title":"and Farimani, A","venue":null,"work_id":"c07dd168-bccc-4afa-ab86-a9982eef9d63","year":2024},"citing_paper":{"arxiv_id":"2606.21378","last_updated":"2026-06-19T12:35:10Z","snapshot_observed_at":"2026-08-04T03:59:57.346569Z","submitted_at":"2026-06-19T12:35:10Z","title":"Enhancing Creativity in 3D Generative Design via a TRIZ-Inspired Text-to-CAD Framework","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-26T14:11:24.539336Z"},"links":{"cited_paper":"/paper/2404.17525","citing_paper":"/paper/2606.21378"},"observation_digest":"sha256:ba3dab48969983b51533251426ce91b674923d067d4e074e03fdeaffba528323","observation_id":"f04414f5-e4d4-47c2-b525-0322c21ee091","resolution":{"observed_at":"2026-07-04T06:49:37.896310Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.17525/citation-record","integrity":"/paper/2404.17525/integrity","json":"/paper/2404.17525/citation-record.json","paper":"/paper/2404.17525"},"outbound":[],"paper":{"arxiv_id":"2404.17525","last_updated":"2025-04-30T18:23:36Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:06:12.068436Z","submitted_at":"2024-04-26T16:41:24Z","title":"Large Language Model Agent as a Mechanical Designer"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.17525."}