{"as_of":"2026-08-05T17:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:45be7745fa9c2e43d005402dba0dc1c6b8a4d024d2821920c81ebdb79a50de3e","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-14T23:17:29.025222Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T00:18:21.899106Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-03T15:18:33.654825Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"cited_work":{"arxiv_id":"2604.19773","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.19773","snapshot_observed_at":"2026-07-03T15:18:33.654825Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","venue":"cs.CL","work_id":"6e883277-b662-4c7a-abfb-eb97dd778865","year":2026},"citing_paper":{"arxiv_id":"2606.13368","last_updated":"2026-06-30T07:06:53Z","snapshot_observed_at":"2026-08-02T02:14:11.218178Z","submitted_at":"2026-06-11T13:53:21Z","title":"IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T06:34:49.610716Z"},"links":{"cited_paper":"/paper/2604.19773","citing_paper":"/paper/2606.13368"},"observation_digest":"sha256:0f1ddb24431b6a836ff849216ab696cecc8e9a7f3a2ceab64f832f2ebdcc05aa","observation_id":"57fae075-e692-4e50-ac06-6c5bb1797591","resolution":{"observed_at":"2026-07-03T15:18:33.656387Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"cited_work":{"arxiv_id":"2604.19773","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.19773","snapshot_observed_at":"2026-07-03T15:18:33.654825Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","venue":"cs.CL","work_id":"6e883277-b662-4c7a-abfb-eb97dd778865","year":2026},"citing_paper":{"arxiv_id":"2606.13368","last_updated":"2026-06-30T07:06:53Z","snapshot_observed_at":"2026-08-02T02:14:11.218178Z","submitted_at":"2026-06-11T13:53:21Z","title":"IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-01T07:33:15.429521Z"},"links":{"cited_paper":"/paper/2604.19773","citing_paper":"/paper/2606.13368"},"observation_digest":"sha256:10542a83530f6d83113f20823365f63eca0b97701f5ec8f3e19a8e0db1d58a76","observation_id":"f466b491-e0bb-4d56-9397-0c6027b61ae6","resolution":{"observed_at":"2026-07-01T07:35:28.852230Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.19773","snapshot_observed_at":"2026-08-05T00:18:21.899106Z","title":"PR-CAD: Progressive refinement for unified controllable and faithful text-to-CAD generation with large language models.arXiv preprint arXiv:2604.19773,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.00799","last_updated":"2026-08-01T17:59:58Z","snapshot_observed_at":"2026-08-05T16:17:38.251332Z","submitted_at":"2026-08-01T17:59:58Z","title":"CADENA: Stepwise CAD Reverse Engineering","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T00:18:21.899106Z"},"links":{"cited_paper":"/paper/2604.19773","citing_paper":"/paper/2608.00799"},"observation_digest":"sha256:2e31a43116b86dfc3839a025a29e0377f883192165d1668a48d9f4bcc820c301","observation_id":"72bccd04-f900-48ab-b36e-ccb5b9289f01","resolution":{"observed_at":"2026-08-05T00:18:21.899106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.19773/citation-record","integrity":"/paper/2604.19773/integrity","json":"/paper/2604.19773/citation-record.json","paper":"/paper/2604.19773"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":"2502.13923","doi":"10.48550/arxiv.2502.13923","metadata_source":"pith","pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen2.5-VL Technical Report","venue":"cs.CV","work_id":"69dffacb-bfe8-442d-be86-48624c60426f","year":2025},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:8566d8035c62ad1bcdbb0c64350867461687bf728209c8426c4c2afcfc7f441e","observation_id":"b6fe4417-283a-4068-a141-93384f61b5b5","resolution":{"observed_at":"2026-05-14T23:18:15.814391Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-12T05:19:13.082554+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T05:19:13.082554+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21949","last_updated":"2025-03-27T19:48:02Z","snapshot_observed_at":"2026-07-06T20:59:58.485598Z","submitted_at":"2025-03-27T19:48:02Z","title":"Reward Design for Reinforcement Learning Agents","version":1},"cited_work":{"arxiv_id":"2503.21949","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21949","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Reward design for reinforcement learning agents.arXiv preprint arXiv:2503.21949","venue":null,"work_id":"118681af-55a7-4a86-9f9b-1c8111ae1c48","year":null},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2503.21949","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:392dc9f3feb6c4189f3f27f80f9fe456f2b717dd7adb728850546aac37a39e30","observation_id":"3d47c7b4-f05b-47e4-9705-9db43d1f6a04","resolution":{"observed_at":"2026-05-14T23:18:15.822360Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07019","last_updated":"2024-02-10T18:36:42Z","snapshot_observed_at":"2026-07-06T17:28:27.220300Z","submitted_at":"2024-02-10T18:36:42Z","title":"Informativeness of Reward Functions in Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2402.07019","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.07019","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Informativeness of reward functions in reinforcement learning.arXiv preprint arXiv:2402.07019","venue":null,"work_id":"bfbe7d43-b75d-4b60-8293-a3a8fecbb885","year":null},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2402.07019","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:44a80792cf8e9a6b90e17601d6c3a99c39c0fcafe97f0826c8d86d768aff86c4","observation_id":"59a39187-a445-465f-b735-958f52533f8d","resolution":{"observed_at":"2026-05-14T23:18:15.808280Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T10:43:38.681654Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":"58451c04-a54a-4b28-8c39-cc4fc7afe5f1","year":2019},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:52ffceabac69a27dd0d2d3eef895599418ff70ba9d77858c388be3c05f2f749a","observation_id":"2e141854-0580-4a92-9db7-402e8b557ca7","resolution":{"observed_at":"2026-05-14T23:18:16.178335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15594","last_updated":"2025-10-19T10:32:43Z","snapshot_observed_at":"2026-08-02T10:23:50.881300Z","submitted_at":"2024-11-23T16:03:35Z","title":"A Survey on LLM-as-a-Judge","version":6},"cited_work":{"arxiv_id":"2411.15594","doi":"10.1016/j.xinn.2025.101253","metadata_source":"pith","pith_arxiv_id":"2411.15594","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Survey on LLM-as-a-Judge","venue":"cs.CL","work_id":"2676656a-67bd-4ad5-bad6-cb6f5fcdbfbe","year":2024},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2411.15594","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:843744fac7db5f0c91f718ecf55a48c49694aa5681774c36b338213f8a9756bc","observation_id":"b7a1baed-f8ee-47f2-b7c7-22d69ccbbea5","resolution":{"observed_at":"2026-05-14T23:18:15.801859Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-10T18:20:01.818871+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T18:20:01.818871+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":"2410.21276","doi":"10.1177/15248380231178756","metadata_source":"pith","pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"GPT-4o System Card","venue":"cs.CL","work_id":"f37bf1c7-4964-4e56-9762-d20da8d9009f","year":2024},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:e5085266598f5fcf1cd1421504a1d14aab963bf0fc1b3b2ef224a75ec798e566","observation_id":"deb024f5-69db-4e7c-affb-4534db7c4318","resolution":{"observed_at":"2026-05-14T23:18:15.692508Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.17702","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T15:18:33.674549Z","title":"Seek-CAD:Aself-refinedgenerativemodelingfor3DparametricCAD using local inference via DeepSeek","venue":null,"work_id":"0266c583-bd51-4f0e-bd5c-8e53cfc6f77c","year":2025},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:64613084cc1ceb6017b0ce5eb0a45e687be8bac7e2f42c03910ace04217b7d9a","observation_id":"2c0d8109-dc24-482f-8d81-39519feecbcd","resolution":{"observed_at":"2026-05-14T23:18:15.722907Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13711","last_updated":"2023-05-23T05:57:09Z","snapshot_observed_at":"2026-07-06T15:31:09.320113Z","submitted_at":"2023-05-23T05:57:09Z","title":"LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models","version":1},"cited_work":{"arxiv_id":"2305.13711","doi":"10.48550/arxiv.2305.13711","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.13711","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llm-eval: Unified multi-dimensional automatic evaluation for open-domain conversations with large language models","venue":"arXiv (Cornell University)","work_id":"ecab5a50-9f87-4819-902a-2df7c2d195ae","year":2023},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2305.13711","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:2b0ce0e60576a0765f985010465451d13721f464b5d985ed56513c6ca8a66312","observation_id":"97735431-dc0d-43ed-9288-07d9533441c0","resolution":{"observed_at":"2026-05-14T23:18:15.753099Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.10446","last_updated":"2025-06-12T07:49:24Z","snapshot_observed_at":"2026-08-05T14:05:59.671046Z","submitted_at":"2025-06-12T07:49:24Z","title":"Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty","version":1},"cited_work":{"arxiv_id":"2506.10446","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.10446","snapshot_observed_at":"2026-07-10T11:37:03.402806Z","title":"arXiv preprint arXiv:2506.10446 , year=","venue":"cs.CL","work_id":"e153fd26-2a21-4d09-94e5-4ad4496f8fbe","year":2025},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2506.10446","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:ec7852f6b6a66cf246c1e64dae8b4f079ccc7eee1bec713251c44840ccecd9ea","observation_id":"357fa96c-7cad-4d73-ab57-e01601f11fd8","resolution":{"observed_at":"2026-05-14T23:18:15.685504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":"2412.19437","doi":"10.1016/j.neucom.2023.127063.url:https://www.sciencedirect","metadata_source":"pith","pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"DeepSeek-V3 Technical Report","venue":"cs.CL","work_id":"57d2791d-2219-4c31-a077-afc04b12a75c","year":2024},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:591142af9f44829369d850623cf49e3a47fea378052493f82341c8d1fff539de","observation_id":"5cd62994-74ae-46cf-bfbd-6bd32cc130fb","resolution":{"observed_at":"2026-05-14T23:18:15.780292Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.02087","last_updated":"2024-08-04T16:53:37Z","snapshot_observed_at":"2026-07-06T18:56:40.234434Z","submitted_at":"2024-08-04T16:53:37Z","title":"Constructing Mechanical Design Agent Based on Large Language Models","version":1},"cited_work":{"arxiv_id":"2408.02087","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.02087","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Constructing mechanical design agent based on large language models.arXiv preprint arXiv:2408.02087","venue":null,"work_id":"9ae16cf3-df00-4149-afd3-0ffb842b807f","year":null},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2408.02087","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:e43a3ee40917ea7f5cbf5bc6cb817e25a2ac1e05e5655aca5528d0654b999159","observation_id":"ad9e8793-cbb5-4abc-b68a-565749c3c179","resolution":{"observed_at":"2026-05-14T23:18:15.676198Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":"2402.03300","doi":"10.1016/0004-3702(73)90011-8","metadata_source":"pith","pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","venue":"cs.CL","work_id":"c5006563-f3ec-438a-9e35-b7b484f34828","year":2024},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:8df9373d7e9c3c1927e378aa1b9cedb51ef479b525c3460852c7f0f3813fe6e6","observation_id":"bd127573-f2c5-423d-b62d-cbfe4db8195d","resolution":{"observed_at":"2026-05-14T23:18:15.730536Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19256","last_updated":"2024-10-02T04:01:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-28T06:20:03Z","title":"HybridFlow: A Flexible and Efficient RLHF Framework","version":2},"cited_work":{"arxiv_id":"2409.19256","doi":"10.1145/3689031.3696075.url:","metadata_source":"pith","pith_arxiv_id":"2409.19256","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"HybridFlow: A Flexible and Efficient RLHF Framework","venue":"cs.LG","work_id":"7eb9c9f4-b322-4bba-8011-09ff8d6ad801","year":2024},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2409.19256","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:e6b1e1a359a20b6131392acd0b63f21a80b1bb22ca03f75234f56cf0013ed46f","observation_id":"4097c056-2036-43d6-a016-7b874c86849e","resolution":{"observed_at":"2026-05-14T23:18:15.773690Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":"2312.11805","doi":"10.1038/nrn2888","metadata_source":"pith","pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemini: A Family of Highly Capable Multimodal Models","venue":"cs.CL","work_id":"83f7c85b-3f11-450f-ac0c-64d9745220b2","year":2023},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:5c43a45346296cea3de2909faa8bacb05e8be845f72cfe3fc887ff76166ea92e","observation_id":"0fac7d16-4595-4662-9a84-a266abb3a669","resolution":{"observed_at":"2026-05-14T23:18:15.794440Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-15T12:35:42Z","title":"Qwen2 Technical Report","version":4},"cited_work":{"arxiv_id":"2407.10671","doi":"10.18653/v1/2024.naacl-long.246","metadata_source":"pith","pith_arxiv_id":"2407.10671","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen2 Technical Report","venue":"cs.CL","work_id":"a1857881-ab9b-4b80-9b5f-9ae4b5c2566d","year":2024},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:481b021b8ae92b2c4683d03dd97f57fd817ad7632b584b55a577ef75fd1c8194","observation_id":"5ba90714-96da-4462-971c-1a866a8b801e","resolution":{"observed_at":"2026-05-14T23:18:15.707796Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.05707","last_updated":"2024-08-06T19:53:17Z","snapshot_observed_at":"2026-08-05T00:17:47.237860Z","submitted_at":"2023-10-09T13:29:37Z","title":"Guiding Language Model Reasoning with Planning Tokens","version":4},"cited_work":{"arxiv_id":"2310.05707","doi":"10.48550/arxiv.2310.05707","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.05707","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"how much does Lloyd make on eggs per week","venue":"arXiv (Cornell University)","work_id":"4be4f397-22db-48cf-a1b7-75bca1047999","year":2023},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2310.05707","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:4583d2043ff5310e0559a6738b15bc636ecc83f79d858b54a4dc7d6379e123e4","observation_id":"47a20374-0185-4c3d-aa3d-1e7e3fbf435a","resolution":{"observed_at":"2026-05-14T23:18:15.715391Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.04821","last_updated":"2025-06-05T09:40:47Z","snapshot_observed_at":"2026-08-04T18:49:10.524165Z","submitted_at":"2025-06-05T09:40:47Z","title":"LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2506.04821","doi":"10.48550/arxiv.2506.04821","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.04821","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Logicpuzzlerl: Cultivating robust mathematical reasoning in llms via reinforcement learning.arXiv preprint arXiv:2506.04821","venue":"ArXiv.org","work_id":"45221a31-3bc9-4a60-9e44-6d73724d2285","year":2025},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2506.04821","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:8b3eb938ac68e3ce4099cec237f01f7f5105c260fae8c85a2f38282f321241bb","observation_id":"999d9f8e-21e8-4887-9e79-2dd05598ca63","resolution":{"observed_at":"2026-05-14T23:18:15.745450Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06507","last_updated":"2025-05-10T04:47:08Z","snapshot_observed_at":"2026-08-04T10:02:58.928426Z","submitted_at":"2025-05-10T04:47:08Z","title":"Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilities","version":1},"cited_work":{"arxiv_id":"2505.06507","doi":"10.48550/arxiv.2505.06507","metadata_source":"pith","pith_arxiv_id":"2505.06507","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Text-to-CadQuery: A New Paradigm for CADgenerationwithscalablelargemodelcapabilities","venue":"cs.AI","work_id":"0ad704e8-21d5-4a90-84f9-f52547c17b80","year":2025},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2505.06507","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:78c57c84e1feedb6bc9247b6b51299d66a950669412065b88de70510e2d1df16","observation_id":"0400dfc6-4bd4-43ec-bdd4-48a138f61eb9","resolution":{"observed_at":"2026-05-14T23:18:15.767940Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11489","last_updated":"2024-05-25T06:42:10Z","snapshot_observed_at":"2026-07-06T16:21:25.401345Z","submitted_at":"2023-09-20T17:39:13Z","title":"Text2Reward: Reward Shaping with Language Models for Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"2309.11489","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.11489","snapshot_observed_at":"2026-07-07T12:53:50.316535Z","title":"Text2reward: Automated dense reward function generation for reinforcement learning","venue":"cs.LG","work_id":"936973da-fa6b-4e55-a9af-d909a7c0810f","year":2023},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2309.11489","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:11025b67c11255f2b6cfb8baa63840afdf4a475a2ceff318344241e59bd7b1f1","observation_id":"8caf378a-ab71-4dc1-b7e9-0f224c756884","resolution":{"observed_at":"2026-05-14T23:18:15.758972Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.03997","last_updated":"2025-07-03T15:54:50Z","snapshot_observed_at":"2026-07-06T20:32:09.545287Z","submitted_at":"2025-02-06T11:57:14Z","title":"CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing","version":2},"cited_work":{"arxiv_id":"2502.03997","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.03997","snapshot_observed_at":"2026-07-04T03:49:29.751136Z","title":"arXiv preprint arXiv:2502.03997 , year=","venue":null,"work_id":"f7c7f1c5-38f3-4471-a51f-3c0df3fb112d","year":2025},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2502.03997","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:05d22a10f74ced93dd9aebe76d25fb23358a7cfa8a8af8092538c2c0ba460b94","observation_id":"d161056c-4131-412e-905f-806136429ef9","resolution":{"observed_at":"2026-05-14T23:18:15.700799Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05823","last_updated":"2025-02-17T03:04:57Z","snapshot_observed_at":"2026-07-06T19:47:38.708013Z","submitted_at":"2024-11-05T05:45:26Z","title":"FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models","version":2},"cited_work":{"arxiv_id":"2411.05823","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.05823","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2411.05823 , year=","venue":null,"work_id":"b1a2354a-af80-449b-b8af-3f23cd7b2dc5","year":null},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2411.05823","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:e94b7cd1a93ca7ed1920644b7023d35e50e88f02b7e11f938d063d1f7fdcf2c1","observation_id":"e453a1c0-94c1-42bd-a207-cf49832a0526","resolution":{"observed_at":"2026-05-14T23:18:15.787396Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13372","last_updated":"2024-06-27T22:44:48Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-03-20T08:08:54Z","title":"LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models","version":4},"cited_work":{"arxiv_id":"2403.13372","doi":"10.48550/arxiv.2403.13372","metadata_source":"pith","pith_arxiv_id":"2403.13372","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models","venue":"cs.CL","work_id":"462b3287-e058-48e3-b5e3-82a5f2a8dc06","year":2024},"citing_paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-14T23:17:29.025222Z"},"links":{"cited_paper":"/paper/2403.13372","citing_paper":"/paper/2604.19773"},"observation_digest":"sha256:1502b12daac22d1c9231374c2624758743f469b53620cc35a1ab406e55f4becc","observation_id":"37d6f763-8a12-4882-97c9-b0b166902cab","resolution":{"observed_at":"2026-05-14T23:18:15.738126Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.19773","last_updated":"2026-03-27T12:13:20Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-03T12:53:29.360699Z","submitted_at":"2026-03-27T12:13:20Z","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":0,"verified_exact":18,"verified_fuzzy":1},"total_outbound_references":22},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 3 inbound Pith citation observations for arXiv:2604.19773."}