{"as_of":"2026-08-18T06:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6fa2537590e74f1501dee309a7035b0098f17e53be4fdd2d071c11fb54bfd63c","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T21:36:14.566306Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2603.20412/citation-record","integrity":"/paper/2603.20412/integrity","json":"/paper/2603.20412/citation-record.json","paper":"/paper/2603.20412"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Zero duality gap in optimal power flow problem,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:f30a416bcc1ae2f4dd7eb6055b2310ddc501dfcd2d3abcee0c1a931d0b1b261c","observation_id":"68795ab0-8999-4355-b6ca-ee558dece12f","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"A survey of relaxations and approximations of the power flow equations,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:2c7f313f0c08e25a41ded578d0d94c0e843a458b55b7ddfec57bf16c838c8b4e","observation_id":"10166680-4183-48fd-9859-933b8e960d04","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Radial distribution load flow using conic programming,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:e13487792e020b765b1aa9907714e4aebf258099e584fbcf9550db46c4388853","observation_id":"feb42fb8-78bd-4b0b-baab-214cdb6912df","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"A survey on conic relaxations of optimal power flow problem,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:e17217d6085453e01ea6129719632e14a44aca876d577f5cbeb3e29514a87907","observation_id":"74cdcaef-35f2-4813-89a5-830588b46508","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Inexact convex relaxations for ac optimal power flow: Towards ac feasibility,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:f6bb0b0cebc2fb7d601515b401e3a4cf6d6e48b466ad9b38b8d9d7f1b479f53a","observation_id":"18ec08a3-5fa1-4f6b-95ef-04508517377b","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"On the tightness of the lagrangian dual bound for alternating current optimal power flow,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:d9e46e093b5a241afcd32e2503cc6904e4513e6fac87a1e7cff1708347d3b943","observation_id":"8d5ae4c6-e39c-4577-9d75-1c4cb9e45673","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Strong socp relaxations for the optimal power flow problem,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:b03580ea2bdb867c597b67acf3c86e23a19ea1499824603a74cfe5e7374b7a0d","observation_id":"ee1e90c6-7cd0-41d2-b224-a7377ab5d625","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Tight lp approximations for the optimal power flow problem,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:ba0ec59bd217a475dd8a674905926071af10244528099ddeced53c2514c2c438","observation_id":"6dad6114-1c14-4e4c-be53-fad915095b46","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Alternating direction augmented lagrangian methods for semidefinite programming,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:623376540c433e869a7504803c0744ce5ec564538223f117bfe7af4b841751a7","observation_id":"4757a725-2104-4357-9188-b02cae762a61","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Adaptive admm for dis- tributed ac optimal power flow,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:03a28f79cf4c7d8e619dfa0eaf40c5df6e667ba732cfd566c92876c36e4a184d","observation_id":"288a91b5-641e-495a-bcfa-d70c3866cb58","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Pdlp: A practical first-order method for large-scale linear programming,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:ca314fdbf970bf38a833bde53a1effe219fa2b35b3ff2a8a334b05e2a8c586ee","observation_id":"82dc2d0c-f772-4f7c-b8df-a295cacb3a54","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Gpu-accelerated primal heuristics for mixed integer programming,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:7b8276572ebdb8cce0811454ed9fa3b512ab930363836f4b28cb794491cee169","observation_id":"26172a59-0c19-471f-995c-e16052fd3fd1","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Concurrent crossover for pdhg,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:73e66838bdc9b6a0f04e545f8606cfcdeac60a4a9d79152ed7f641c62f0c61fe","observation_id":"16fd37ef-fabe-4bb2-913d-e64a9d7cda82","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Dual conic proxies for ac optimal power flow,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:26d3bb4b157c666c3ea0a8e4beeddce37e0b630c5dcb4f1f7a2a49018598a5f3","observation_id":"6dc44f22-8c09-451f-8c79-6bf583d2a032","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Dual lagrangian learning for conic optimization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:fe25b3165ef44b16ae135e2e6e2cba155380b274ef85a2acad747d93c91a1553","observation_id":"ab8376f9-5f3f-465c-95a6-843149f9aef0","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Conic optimization via operator splitting and homogeneous self-dual embedding,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:f0e9ee611fb8d7ac49932956084e5c02454dfa9271f71e02d16a63227e6eaaeb","observation_id":"b566bcef-16aa-44cf-8aec-5cac340ead3a","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Proportional–integral projected gradient method for conic optimization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:df408f1bf5baab58b9ad0b9c346bb577167f9a3446a287b87122d85eb3ab60c2","observation_id":"559c45d6-4dd9-476b-8440-7f9013d48541","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1137/21m1450112","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Leveraging gpu batching for scalable nonlinear programming through massive lagrangian decomposition,","venue":"SIAM Journal on Scientific Computing","work_id":"8aa92965-a5b6-47e2-8abb-c962f180e97e","year":2025},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:0444f0a920c7f4cc1efaefac60e7e4fef83b358710770c27da5c80d63535b025","observation_id":"74de4e3e-f5ce-4fd3-ba2d-f3b5a8ca988a","resolution":{"observed_at":"2026-07-13T21:39:56.585124Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7276.354863","doi":"10.1145/3547276.3548631","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Accelerated computation and tracking of ac optimal power flow solutions using gpus,","venue":null,"work_id":"497f783c-c565-4df2-9f9e-4b3efc3f3143","year":2023},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:05b73bde9a322be111c59e1b452ce023de6def3f0be1707480e2df26af5988b0","observation_id":"1c1ad52e-968e-4dd1-92dc-7b8e13652fbf","resolution":{"observed_at":"2026-07-13T21:39:56.593559Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Gpu-accelerated sequential quadratic programming algorithm for solving acopf,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:e4b181b83a693921055aac2ff0a690dda4b8bb24074047fdee5ef9fb4fcb6280","observation_id":"dd47b719-c465-445e-a528-20de9dd6bbf7","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13191","last_updated":"2024-09-25T15:05:51Z","snapshot_observed_at":"2026-08-16T13:41:37.275514Z","submitted_at":"2024-06-19T03:49:21Z","title":"GPU-Accelerated DCOPF using Gradient-Based Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13191","snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Gpu-accelerated dcopf using gradient- based optimization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"cited_paper":"/paper/2406.13191","citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:2b6d9a46859670f90fdf2b14ff697bbcad29d3eb6ab5e7f587d764a81fac7be0","observation_id":"90710590-eb1e-49d7-9822-465bb1dba0fe","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Accurate and warm-startable linear cutting-plane relaxations for acopf,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:c9e095b7e787d5508058012a289408ef10dcfb403d02102b9c548afbedf98845","observation_id":"58fc9bdd-7839-4538-b488-a919ae348fbd","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Strong socp relaxations for the optimal power flow problem,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:0e6f280fae2d17a0f4d8495fac911cc4211253d1be8e719380d7c838596ce387","observation_id":"26eee305-62d9-44be-bae7-3757d1942eca","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Mosek modeling cookbook,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:a933b7647add98b4b21059cc77e5f9d89fbaca2091ef2cf9eb8c6df44467b4be","observation_id":"0af1b07c-d663-45cf-9e28-7cc57d9827cd","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.02788","last_updated":"2021-01-04T18:52:39Z","snapshot_observed_at":"2026-08-15T04:21:38.596694Z","submitted_at":"2019-08-07T18:22:18Z","title":"The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.02788","snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"The power grid library for benchmarking ac optimal power flow algorithms,","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"cited_paper":"/paper/1908.02788","citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:2ec31e68f200ec43d2db49ab3578fac955465851f04584142d4632e12f2dcc56","observation_id":"02bc5261-cb5f-4cfe-a694-854ce705d88d","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Powermodels.jl: An open-source framework for exploring power flow formulations,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:72bbc246595e017ea15283fbc4df8c935dc91b409b4cd610d696f99a2b751a9e","observation_id":"ed51b18e-963d-4912-ba28-1244f1063ba8","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Jump: A mod- eling language for mathematical optimization,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:aa91890378b3d15448de7aa04fb665335092a8d3bf3a4772bcf42035c5bca2dc","observation_id":"76361ba4-be9b-463c-aea6-4205a8c2b87f","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Knitro: An integrated package for nonlinear optimization,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:3bc144ba88effeb7f61500f285616a1d8b9bc9757cf8c67e1d108c32ead302ee","observation_id":"8576b4f3-5a4b-4660-a99b-31191adf9688","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"Mosek optimization software,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:42e3df7f68892aacf0236a059294f837ef787e3b4fd03317d062e793321970d2","observation_id":"7a3fc8db-924e-4a90-ae9b-e2f46ebd5d79","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T21:36:14.566306Z","title":"On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear programming,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-13T21:36:14.566306Z"},"links":{"citing_paper":"/paper/2603.20412"},"observation_digest":"sha256:d3fa7dca54ace6fcfa476dd280b98a75de317c13667b95f518a99605633cb1e7","observation_id":"d0b02511-a661-46cb-a1a7-a677524ba612","resolution":{"observed_at":"2026-07-13T21:36:14.566306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2603.20412","last_updated":"2026-06-22T11:45:54Z","latest_version":2,"primary_category":"physics.ed-ph","snapshot_observed_at":"2026-08-15T04:09:34.234962Z","submitted_at":"2026-03-20T18:32:20Z","title":"Exploring the potential of ChatGPT for feedback and evaluation in experimental physics"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":30},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2603.20412."}