{"as_of":"2026-08-09T00:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:94057e273fd8825f326a5031b6312d109379564baca7d423e701342c3eefd574","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:00:58.731688Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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":"2026-07-30T16:16:29.099738Z","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":"2026-07-01T23:16:23.629635Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"cited_work":{"arxiv_id":"2505.20242","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.20242","snapshot_observed_at":"2026-07-01T23:16:23.629635Z","title":"Verstraete, D","venue":null,"work_id":"7d9c1a79-0bf5-4621-9b78-a7e1fd07413c","year":2025},"citing_paper":{"arxiv_id":"2604.07872","last_updated":"2026-04-09T06:36:15Z","snapshot_observed_at":"2026-07-06T22:57:05.146373Z","submitted_at":"2026-04-09T06:36:15Z","title":"PyVRP$^+$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T18:21:52.115078Z"},"links":{"cited_paper":"/paper/2505.20242","citing_paper":"/paper/2604.07872"},"observation_digest":"sha256:25f623b2b642c7ff159dd598ea3b2f5300bcb90b37d10d1ac7e5ba3ec1c5bca0","observation_id":"f698ebc7-45f1-4e7f-80cb-7da4e1e4d7e4","resolution":{"observed_at":"2026-05-11T00:45:49.248883Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"cited_work":{"arxiv_id":"2505.20242","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.20242","snapshot_observed_at":"2026-07-01T23:16:23.629635Z","title":"Verstraete, D","venue":null,"work_id":"7d9c1a79-0bf5-4621-9b78-a7e1fd07413c","year":2025},"citing_paper":{"arxiv_id":"2606.01975","last_updated":"2026-06-01T09:36:59Z","snapshot_observed_at":"2026-08-07T08:56:38.903231Z","submitted_at":"2026-06-01T09:36:59Z","title":"Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-06-28T14:35:24.936368Z"},"links":{"cited_paper":"/paper/2505.20242","citing_paper":"/paper/2606.01975"},"observation_digest":"sha256:5305e56995f66355f5eab065898ce918736695b85f4f4faa09950aa796944523","observation_id":"46769cc9-3e72-4996-8bc7-5048c36be238","resolution":{"observed_at":"2026-07-01T23:16:23.631491Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.20242","snapshot_observed_at":"2026-07-30T16:16:29.099738Z","title":"arXiv preprint arXiv:2505.20242 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23676","last_updated":"2026-07-26T14:22:15Z","snapshot_observed_at":"2026-08-06T15:45:01.094949Z","submitted_at":"2026-07-26T14:22:15Z","title":"SpecAHD: Localize to Specialize for Automated Heuristic Design in Large-Scale Routing Problems","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-30T16:16:29.099738Z"},"links":{"cited_paper":"/paper/2505.20242","citing_paper":"/paper/2607.23676"},"observation_digest":"sha256:9e5f1aec993beb5ea7bb6a66473a4b1bc96726bea8bc281273730fdcf46348dd","observation_id":"90f4f325-4066-46cf-a977-b93a101186cb","resolution":{"observed_at":"2026-07-30T16:16:29.099738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.20242/citation-record","integrity":"/paper/2505.20242/integrity","json":"/paper/2505.20242/citation-record.json","paper":"/paper/2505.20242"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:04.888275Z","title":"A computation investigation of the impact of convex hull subtour on the nearest neighbour heuristic","venue":null,"work_id":"863f6b83-fb1d-4641-b48a-5395215fa909","year":2023},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:54.439826Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:8eb60a3d1172d6dd75efcf62851235b9c2c1114f8452fd52754ccefd5ecf6fcc","observation_id":"75cd867a-431b-4c9c-8f29-2d4ba4616411","resolution":{"observed_at":"2026-08-07T14:01:04.977215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:00:54.525644Z","title":"Handbook of evolutionary computa- tion","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:54.525644Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:45473fdba182e3b88442b8ac10dc25bff61697d0ed4f9c5a161f86fcd64f22d6","observation_id":"d5366727-ead1-4330-afde-12e82fcd75cf","resolution":{"observed_at":"2026-08-07T14:00:54.525644Z","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":"2026-08-07T14:00:54.593824Z","title":"Machine learning for combinatorial optimization: a methodological tour d’horizon","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:54.593824Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:aa92aa310b21dae44dd6a24a0ae5a2e3e63f8e5305fbcba835ace43dff2caff3","observation_id":"a3f02a63-bae8-4836-a74e-24d7e7d6f5eb","resolution":{"observed_at":"2026-08-07T14:00:54.593824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:04.715286Z","title":"The approximation ratio of the greedy algorithm for the metric traveling salesman problem","venue":null,"work_id":"027249b9-4a31-44a0-a37f-ddd0ebc03412","year":2015},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:54.674977Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:ded1538ee02c51ca7cef0d4e45ba77d0f2f29d2a6ecde1fe4857c2846c7b796e","observation_id":"19a97670-1d91-4604-b64e-212a3e18ff65","resolution":{"observed_at":"2026-08-07T14:01:04.764405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:00:54.751345Z","title":"Language models are few-shot learners","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:54.751345Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:5c756779d30869ee6bfd4423ec539684a2d5b8081827edb1b03d3175c2c7c234","observation_id":"c929f9f5-9bf6-49cc-a994-4d41d9adadf8","resolution":{"observed_at":"2026-08-07T14:00:54.751345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:04.571149Z","title":"Hyper-heuristics: A survey of the state of the art","venue":null,"work_id":"cdbfe616-a426-4cf5-ace0-f6123204e22e","year":2013},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:54.858224Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:301e42b1593847d91891e8c93c3e971b32dd4097c97783d857fb3335499bb5d4","observation_id":"0fbcd5f9-d156-458e-b483-c4d0ca5bc022","resolution":{"observed_at":"2026-08-07T14:01:04.624251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:04.401633Z","title":"Efficient meta neural heuristic for multi-objective combinatorial optimization","venue":null,"work_id":"201b4ee5-8977-4c6c-a4bd-55fb2f6ed8fc","year":2023},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:54.950424Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:0d9a5d0a538c43080238f01c88c9f144c6bd82e8cb891a243fdf76015a231d9b","observation_id":"79ab7e47-d48a-4db5-a8c1-6f61ddb165fa","resolution":{"observed_at":"2026-08-07T14:01:04.472636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:04.279161Z","title":"Worst-case analysis of a new heuristic for the travelling salesman problem","venue":null,"work_id":"c20ebf50-2f18-4b78-b614-f395321531a2","year":2022},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:55.066671Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:fe86e252928ef7b9542b30d02dda613cc93b42d24ea612a79f8a010ad3117103","observation_id":"1bc9c528-6936-480b-8d7e-085f8ca40aa8","resolution":{"observed_at":"2026-08-07T14:01:04.333523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:04.129969Z","title":"A short guide to approximation preserving reductions","venue":null,"work_id":"78e224de-1e5f-4cf5-97c6-a67ee8bb60c5","year":1997},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:55.206427Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:89a0a476273a644783f37ba2e0e556ca47f2a5a8653ea681909e31797d04f670","observation_id":"f5fdf170-f70f-478d-ac6c-d4134ddb5f84","resolution":{"observed_at":"2026-08-07T14:01:04.199682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:00:55.327527Z","title":"The truck dispatching problem","venue":null,"work_id":null,"year":1959},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:55.327527Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:d9add32a07b4af0e577daddd3a0af13553440ac71173ee5e70c94802439ceb6a","observation_id":"45334705-431a-4aa7-abd6-25e693b4d560","resolution":{"observed_at":"2026-08-07T14:00:55.327527Z","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":"2026-08-07T14:00:55.431530Z","title":"Hsevo: Elevating automatic heuristic design with diversity-driven harmony search and genetic algorithm using llms","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:55.431530Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:da90e9b07ed179a81c81dd2675a81e496431a9b9fe8167dc3cfc270d8daad7f8","observation_id":"4e03accd-6cf6-4044-929e-d257f4db20f2","resolution":{"observed_at":"2026-08-07T14:00:55.431530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:03.895850Z","title":"Heuristic and meta-heuristic algorithms and their relevance to the real world: a survey","venue":null,"work_id":"59acc475-934d-4cc6-87c3-f7323e3a02a2","year":2015},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:55.588177Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:ebd9ca14c34a4fd61ee3d19c2679221c426b6a13959ad31278214a7aa15d6784","observation_id":"861e6b58-c4a1-4dce-91bf-df2bc1777445","resolution":{"observed_at":"2026-08-07T14:01:03.992501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:03.717087Z","title":"Ant colony optimization","venue":null,"work_id":"a2cf82d2-85d4-4db7-a993-076be5735e99","year":2007},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:55.714025Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:e29178496e7850ad3f42bf0006d3b60ff9dcae36c15568b7d32a28bbc8200400","observation_id":"507bf328-139a-479a-9473-203617f29e1d","resolution":{"observed_at":"2026-08-07T14:01:03.795611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:03.506311Z","title":"Recent advances in selection hyper-heuristics","venue":null,"work_id":"561c820f-08d9-4bf2-9355-c6b4c21052ba","year":2020},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:55.821010Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:bb0d3e260fa3e1b573a79a4111cff5f5ce5d3f8458f06bbfcd5299e2d454244c","observation_id":"9aa14fbd-fdc3-473a-8036-3a6f57a0c844","resolution":{"observed_at":"2026-08-07T14:01:03.611735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:03.351466Z","title":"A gp hyper-heuristic approach for generating tsp heuristics","venue":null,"work_id":"6624b32d-2ab9-4fa3-ac91-dc76af2fef1c","year":2019},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:55.941702Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:f9c1e8327fa823182224d7b8b50637431b39f3414ae3a26471476393fd74191b","observation_id":"09ea66f6-a832-4824-bdfd-91b2d10cf2f2","resolution":{"observed_at":"2026-08-07T14:01:03.407038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:00:56.058862Z","title":"From evolutionary computation to the evolution of things","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.058862Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:b58eb00ce700fb8e84019df90c7c22312413326e9d010fead82da119c3e26c39","observation_id":"82106972-331f-490d-9353-6acfca06be5d","resolution":{"observed_at":"2026-08-07T14:00:56.058862Z","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":"2026-08-07T14:00:56.163640Z","title":"Or-tools routing library","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.163640Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:a36b899200eb0a52b921a49ab5d954f294f2aba5437f765ec67d466253f2a208","observation_id":"ba8c3f0e-2d38-489b-a06c-c6c564f8209f","resolution":{"observed_at":"2026-08-07T14:00:56.163640Z","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":"2026-08-07T14:00:56.241303Z","title":"Connecting large language models with evolutionary algorithms yields powerful prompt optimizers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.241303Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:83c7739344dd15231caad94c486fc57b03a2a5ef0f97148b75dddabe9300a22b","observation_id":"90a471d0-9c4f-4adb-85f2-ec9c023fb7fe","resolution":{"observed_at":"2026-08-07T14:00:56.241303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:03.104471Z","title":"Evolving code with a large language model","venue":null,"work_id":"b4638e63-e27e-4763-b28e-38e90148d0ee","year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.326299Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:2815ddb23924c76cac5d64b5cb652b6fb7e37fca5e374cdb9bfadd6ccef5dd7f","observation_id":"7d768187-d1d9-485b-93f5-50abc6bb2275","resolution":{"observed_at":"2026-08-07T14:01:03.196277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:00:56.394687Z","title":"A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.394687Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:31ce1464432ee0ebb5b92c38f301f193a3218bd20d959dc14bcefacbd44e7648","observation_id":"78858482-7815-4e74-ac9f-06e2bab0c6d2","resolution":{"observed_at":"2026-08-07T14:00:56.394687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:02.820468Z","title":"Position: Llms can’t plan, but can help planning in llm-modulo frameworks","venue":null,"work_id":"945728b1-fd48-451b-9094-b10912130c92","year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.515020Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:81b94d623ddd72f663071bbe02a6c124ed85f884b9a02db8edc9c4ac659402ef","observation_id":"3e609558-a79f-4788-91de-1a7544a2b556","resolution":{"observed_at":"2026-08-07T14:01:02.961636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:00:56.604769Z","title":"Pomo: Policy optimization with multiple optima for reinforcement learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.604769Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:59c7492d4348105c82ac5af5ee2bbbbe25fb6e5a1d7dfc9bbd1f87e5517e44c6","observation_id":"b62c3cbf-1d22-4b13-86ab-7415b7e124fe","resolution":{"observed_at":"2026-08-07T14:00:56.604769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:02.521766Z","title":"Foundations of genetic programming","venue":null,"work_id":"eb3bfff5-5e71-45ea-908d-5fc51156c0db","year":2013},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.692905Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:0a8919c17fa06923db6fc35292151b42ba705c73fa9e29889c14289db58880fb","observation_id":"43f29daa-e6f0-435f-9495-177a481fb273","resolution":{"observed_at":"2026-08-07T14:01:02.630634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:00:56.794484Z","title":"Large language models as evolution strategies","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.794484Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:ba82c47d30a6cd3f35356542fc650a882e94bcdf8c2c064f59862dd147e40dbb","observation_id":"f62edd14-badb-4bab-809b-de2f236c8e07","resolution":{"observed_at":"2026-08-07T14:00:56.794484Z","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":"2026-08-07T14:00:56.886651Z","title":"Evolution through large models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.886651Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:4fd494458bac546696393b35533fc0273ebd5124be13e1de7f571dac7d2d08e1","observation_id":"ae9af059-45a3-4582-b695-b0ff81f8f9d9","resolution":{"observed_at":"2026-08-07T14:00:56.886651Z","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":"2026-08-07T14:00:56.942594Z","title":"Evolution of heuristics: Towards efficient automatic algorithm design using large language model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:56.942594Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:2d7fbcf20b364efee7b8e3f6b0268ce4ee1d4e9bc93c44c78df9a4c0e7914d55","observation_id":"637b3183-af1a-415e-bfd7-9a8e6364e52f","resolution":{"observed_at":"2026-08-07T14:00:56.942594Z","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":"2026-08-07T14:00:57.034065Z","title":"A systematic survey on large language models for algorithm design","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.034065Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:eb3a5ace74f9922b457745c67e0a2ac4d4d27f75593926a7fe916ebeb3766f84","observation_id":"fcb175c0-7d88-4d53-be28-d61cb396a477","resolution":{"observed_at":"2026-08-07T14:00:57.034065Z","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":"2026-08-07T14:00:57.093030Z","title":"Large language models as evolutionary optimizers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.093030Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:ac70e87d30b8a21f29a8be3703c0a29f9797c6b46b5ca89cf85d88fdf4e16d63","observation_id":"a3101fab-fd33-452a-9dab-66e2c9a6f9a1","resolution":{"observed_at":"2026-08-07T14:00:57.093030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:02.176396Z","title":"Metabox: A benchmark platform for meta-black-box optimization with reinforcement learning","venue":null,"work_id":"27caba94-3e29-408a-8d54-357e184a86b1","year":2023},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.145674Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:eb5f6e318d47a405a3069ec9d834ebf1adb53a1f02fd105e0ecf58f6183be496","observation_id":"7957cb1f-79ac-48bc-8de7-ae4c99c2adf5","resolution":{"observed_at":"2026-08-07T14:01:02.308492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:01.845003Z","title":"Dissociating language and thought in large language models","venue":null,"work_id":"a32a6a6b-5a4b-42d1-99e2-261fcc97966c","year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.235596Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:46b2938914633602d99d289881cc656c5522ee3eb334da8bbf426eb1bbd8169c","observation_id":"bf1b9242-a3e3-4718-9e27-fefea4f17a26","resolution":{"observed_at":"2026-08-07T14:01:01.965209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:01.602782Z","title":"Traveling salesman problem: an overview of applications, formulations, and solution approaches","venue":null,"work_id":"af1e0bc9-a84d-4812-b823-e706fcfd9bfc","year":2010},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.293622Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:438d9d9312f1ca931368bc36c9748d079e3a7515fa814b5875cdbc0483303775","observation_id":"3fe3d7d3-5e1a-4c57-b9fe-ff0152fa380c","resolution":{"observed_at":"2026-08-07T14:01:01.724107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:01.244623Z","title":"Explainable artificial intelli- gence by genetic programming: A survey","venue":null,"work_id":"7dd47741-85b8-48a9-9e35-a6648d3cab74","year":2022},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.374873Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:df9a62fdc40b5f5cfe55cb3756cf07b5229d307e2b890debfae6bd62387bb91a","observation_id":"196dacd2-f85a-4923-9b47-89f94d445ee5","resolution":{"observed_at":"2026-08-07T14:01:01.427825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:00:57.491760Z","title":"Language model crossover: Variation through few-shot prompting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.491760Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:1165f38e073fd6b8a5c54be9aded2415254ed57741446589e2a63270b72f42bd","observation_id":"3ed79809-f70a-4a92-9dfc-561c06fd02b6","resolution":{"observed_at":"2026-08-07T14:00:57.491760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:00.994309Z","title":"Open issues in genetic programming","venue":null,"work_id":"0a362bcd-32b0-4fa0-b1ea-ec97757fd264","year":2010},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.542679Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:8e7ae9c699f3249277e5f9092b9e64a86d7e384e92d512503c96ca407056428c","observation_id":"9c41e4d6-a9c9-4c0d-8651-16951ba07109","resolution":{"observed_at":"2026-08-07T14:01:01.089130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:00.899940Z","title":"Hyper-heuristics: theory and applications","venue":null,"work_id":"5cac817f-b553-4d9e-8aa6-6f177f210779","year":2018},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.602878Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:76fdc719fb8dd1b69ae9da1f6a4a4c6e4bf794cdf739cdf7fedb6c14f367abd5","observation_id":"5452493a-2b2c-4a36-8e4d-612ae5eeaeaa","resolution":{"observed_at":"2026-08-07T14:01:00.971982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:00.786675Z","title":"Tsplib—a traveling salesman problem library","venue":null,"work_id":"0e61e896-29c1-455a-b060-06d165ccfbf4","year":1991},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.680370Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:7f01ffdff83f272a00fafe8df4bd4f8f7dd8424d8f6d42e39062167988eef649","observation_id":"750ef066-c791-4fdb-afec-9983b11b4a4a","resolution":{"observed_at":"2026-08-07T14:01:00.836203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:00:57.736736Z","title":"Mathematical discoveries from program search with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.736736Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:de2d07aff7f71c059e843f93e888667360df9ba75ff9030e1319f7d8dfb36ba2","observation_id":"1cfb5f4a-8105-415a-af93-6d4c4ce51297","resolution":{"observed_at":"2026-08-07T14:00:57.736736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:00.654092Z","title":"An analysis of several heuristics for the traveling salesman problem","venue":null,"work_id":"b5f2b1b3-65ce-4bbd-a03c-d51b5d214b8a","year":1977},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.848744Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:18ebddbe48c95a0e7f41f5501dc2a3ed53f1a24786c940b16c836c50afa6f5bb","observation_id":"e612c912-064f-4f9c-9910-1a97e891f19a","resolution":{"observed_at":"2026-08-07T14:01:00.703063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:00.506063Z","title":"Guided local search","venue":null,"work_id":"94bf272c-6c28-46ce-aec0-492b1a3bc8dc","year":2010},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:57.967691Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:80d615771a847f0ee2c5c26c74b17933b122f3bc47be8b62355a97cc5d948d15","observation_id":"29d86525-cb36-4d91-8dcf-360dbbd5fe1d","resolution":{"observed_at":"2026-08-07T14:01:00.586263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:00.364373Z","title":"Pokorny, Xiao Huang, and Xinrun Wang","venue":null,"work_id":"7791b575-d92e-4d61-8695-2612f0cbce20","year":2025},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:58.115040Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:1583fe0c7780c5fd4bdcae0a9d725a17bfec9d2c2ed263b19e7153c3ddd5d95a","observation_id":"2cf37631-9848-421d-9fd3-91f660a8f2a3","resolution":{"observed_at":"2026-08-07T14:01:00.419795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:00.228743Z","title":"A survey on reinforcement learning for combinatorial optimization","venue":null,"work_id":"8aa6ffe0-8a29-4942-9936-23604fca7dec","year":2023},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:58.187256Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:f66149044ad212326d791f3073abeab60ca8c0b2fa68d921ac7db8a12e6f966c","observation_id":"9e1a2e8b-d74d-4b1a-9f09-d5dc31ab0d2c","resolution":{"observed_at":"2026-08-07T14:01:00.284692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:01:00.071233Z","title":"Multi-objective evolution of heuristic using large language model","venue":null,"work_id":"e29a4443-6a67-4874-9df0-b7d0b282eace","year":2025},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:58.273633Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:6eb99b9d7b59cb9a1dfbd63515107eec31c3dc96b030834eb926ea62cf262664","observation_id":"c5a5be4f-12b0-4903-9b91-90f73030a755","resolution":{"observed_at":"2026-08-07T14:01:00.136815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:59.888894Z","title":"Reevo: Large language models as hyper-heuristics with reflective evolution","venue":null,"work_id":"08dbe0c3-52ab-4800-9cfe-c3c873725cca","year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:58.322193Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:a9920776ba1a9c5801a1ea133947342dd066a8f49a1bd490a99adbbacd205d38","observation_id":"287f6f3c-8d1c-48c4-8b70-627e361bd6d2","resolution":{"observed_at":"2026-08-07T14:00:59.947074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:59.737959Z","title":"Deepaco: Neural-enhanced ant systems for combinatorial optimization","venue":null,"work_id":"36e1bee6-d30d-4df0-aff2-8deffd86a57d","year":2023},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:58.409912Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:b7f5849d0c35a3157b593a5fd0057ee035ede39b29a61274541ea74922f6ef63","observation_id":"c5d8295e-7665-460b-881c-b6a3901ed93a","resolution":{"observed_at":"2026-08-07T14:00:59.796352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06532","last_updated":"2024-02-21T08:15:58Z","snapshot_observed_at":"2026-08-06T01:52:36.939815Z","submitted_at":"2023-03-12T01:20:49Z","title":"Automated Design of Metaheuristic Algorithms: A Survey","version":3},"cited_work":{"arxiv_id":"2303.06532","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.06532","snapshot_observed_at":"2026-08-07T14:00:58.933229Z","title":"Automated Design of Metaheuristic Algorithms: A Survey","venue":"cs.NE","work_id":"9c6602c1-1383-4892-bafe-e227715bb876","year":2023},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:58.488322Z"},"links":{"cited_paper":"/paper/2303.06532","citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:5b767e1c34753f3b6f52031f1325f5c06993ac56b6a9547bd8f16756c29fb4cc","observation_id":"bc8ce125-a603-454b-a50d-b03f8bd4f4f8","resolution":{"observed_at":"2026-08-07T14:00:59.041842Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:59.520141Z","title":"A review on edge large language models: Design, execution, and applications","venue":null,"work_id":"644d45bb-ad16-4fc8-9c51-4d953a633ab2","year":2025},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:58.575935Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:7f558ab986ffbf588042c71e937ad655fad12287d359ba2fb93d4101534ed5c3","observation_id":"698b34f1-148f-43d1-b42e-520a59d35563","resolution":{"observed_at":"2026-08-07T14:00:59.648872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:00:59.297072Z","title":"Monte carlo tree search for com- prehensive exploration in llm-based automatic heuristic design","venue":null,"work_id":"e8739567-8ebd-4fc4-989f-54202aba7b79","year":2025},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:58.654582Z"},"links":{"citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:a44bae55d19ff0dc11e0d8dea626f982ff6d3f7f5354807aaa447d0b16f0d5f6","observation_id":"48aac16d-9ee2-4127-9b1e-8023593a35b9","resolution":{"observed_at":"2026-08-07T14:00:59.379616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00312","last_updated":"2025-01-18T06:02:08Z","snapshot_observed_at":"2026-08-06T05:54:29.164028Z","submitted_at":"2024-06-29T04:29:03Z","title":"UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00312","snapshot_observed_at":"2026-08-07T14:00:58.731688Z","title":"heuristics","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T14:00:58.731688Z"},"links":{"cited_paper":"/paper/2407.00312","citing_paper":"/paper/2505.20242"},"observation_digest":"sha256:f60110d67dd2e80c821f46e6962ac857bc3660052b8bb6f55a760cd4ab6e8d92","observation_id":"1b618215-ba0f-4dcb-8b29-2b9eafb5c2ff","resolution":{"observed_at":"2026-08-07T14:00:58.731688Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.20242","last_updated":"2025-05-26T17:21:16Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T13:54:00.554854Z","submitted_at":"2025-05-26T17:21:16Z","title":"RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":29},"total_outbound_references":48},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 3 inbound Pith citation observations for arXiv:2505.20242."}