{"as_of":"2026-08-08T11:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b3f7f7f026e85a3bd4e076198b39ed03d3bcc482a04f991316ba2f3e1f8a9d6","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:05:48.992546Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2505.22753/citation-record","integrity":"/paper/2505.22753/integrity","json":"/paper/2505.22753/citation-record.json","paper":"/paper/2505.22753"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:06:00.452667Z","title":"Agrawal, S","venue":null,"work_id":"577731da-6745-4948-bebb-f23c7ffdd0ad","year":2022},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:44.643128Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:dcb95a1f30ef082d0522737c15b96944f7656ce217371d0af86b126c55a1f7d2","observation_id":"a1d7bcac-63a9-46f2-9cf0-32a18db119f8","resolution":{"observed_at":"2026-08-07T13:06:00.517728Z","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":"2026-08-07T13:06:00.315756Z","title":"Barraquand, B","venue":null,"work_id":"a9710f74-ffc8-4862-972c-75761182fdb8","year":1992},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:44.722864Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:c5965336a783bed89966ccb5692b35acb78f8ea4e90e7d82dcdc8407934e2424","observation_id":"72b96ba6-2e6e-4828-b5ff-c01f1bd80be9","resolution":{"observed_at":"2026-08-07T13:06:00.382260Z","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":"2026-08-07T13:06:00.123481Z","title":"Barták, J","venue":null,"work_id":"619accb9-965d-4e87-a3cc-44c1d224380b","year":2019},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:44.816196Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:789cd22c708d2e6f2873c226b0bafdaf9387b4d0d997230adc4660eddc4bfb56","observation_id":"c1d46926-7679-4123-bd1a-b982ffd294c5","resolution":{"observed_at":"2026-08-07T13:06:00.236057Z","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":"2026-08-07T13:05:59.915059Z","title":"Bennewitz, W","venue":null,"work_id":"1d48b93d-4f53-4961-b267-aac47fddc297","year":2001},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:44.914826Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:f7be689edc83426df6e3f48d2cc786139e00ad440bacabc577f4cd05a465b909","observation_id":"903ad598-a9cd-4f94-9200-789c185b2e3c","resolution":{"observed_at":"2026-08-07T13:06:00.008524Z","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":"2207.03530","last_updated":"2022-09-17T14:02:00Z","snapshot_observed_at":"2026-07-06T13:28:57.815460Z","submitted_at":"2022-07-07T18:48:58Z","title":"VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.03530","snapshot_observed_at":"2026-08-07T13:05:44.974365Z","title":"Bettini, R","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:44.974365Z"},"links":{"cited_paper":"/paper/2207.03530","citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:a84e84fd5bb70dfcc75ea6394a21e06f0d3dcc8db791cb88dfbc8fef65945bb0","observation_id":"da286589-81ae-439f-b666-00ddcc4eb620","resolution":{"observed_at":"2026-08-07T13:05:44.974365Z","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":"2026-08-07T13:05:59.677016Z","title":null,"venue":null,"work_id":"f768145e-884f-4a9c-905f-c6f5b4f2fec5","year":2023},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.050759Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:ba13ad0bf5b8902d89fed0d472708fa8dbdd918ae3dc4ee7a5c72f748cf8d05a","observation_id":"8c6c4446-dd00-4320-8cd0-c2e9e59da887","resolution":{"observed_at":"2026-08-07T13:05:59.812608Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:59.402401Z","title":null,"venue":null,"work_id":"5736197a-07d5-4e17-a137-ce6195f98235","year":2024},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.141608Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:e0cc8e5cd221e96b3a7e187d237b1a3a99fa1388c84df2a0b5ebd4bb36a9bc2a","observation_id":"a1e4f285-62c0-4945-ae0a-34f7b8bef75e","resolution":{"observed_at":"2026-08-07T13:05:59.534963Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:59.155721Z","title":"Daily and D","venue":null,"work_id":"7025dc67-d1ad-4e15-bb82-e2d6a19e8329","year":2008},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.187563Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:7cc3a689c862328dd17130cf1f0285f7dc4e170e46fdf5d4bd81fce22774c240","observation_id":"0004d8ff-e5d9-4e72-9838-d688725d63ac","resolution":{"observed_at":"2026-08-07T13:05:59.287397Z","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":"2026-08-07T13:05:58.912376Z","title":null,"venue":null,"work_id":"a93e5263-584f-47e9-b175-fffe1c26bd32","year":1984},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.297342Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:bc7641942267172e513fc1491ea2b786b51e75ae391bebb32777cee0e7e5d384","observation_id":"f173e72b-6a53-408a-bffd-e5d42ad66a31","resolution":{"observed_at":"2026-08-07T13:05:59.023169Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:58.629388Z","title":"Dergachev and K","venue":null,"work_id":"5f082d65-235d-4759-92f5-cec2e2a01000","year":2021},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.378089Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:6b894b0d97d7e289de19d5e4e87a2f64ccb36de1e74966ba4616d52c4c81ce6b","observation_id":"b8f10c32-f76e-413f-b668-bd397c56531a","resolution":{"observed_at":"2026-08-07T13:05:58.777390Z","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":"2026-08-07T13:05:58.320564Z","title":null,"venue":null,"work_id":"31848dc8-2cbb-4055-8474-7ecb721478cb","year":2016},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.443147Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:c4add263bc4a20ccdcd4ca4bcbf394996e23bc1e88b259dcb75f4af3a941a84d","observation_id":"53940ce8-8d30-402b-b02b-6c85cbe8ebb0","resolution":{"observed_at":"2026-08-07T13:05:58.478915Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:57.960856Z","title":null,"venue":null,"work_id":"6519a695-b657-4c2a-b556-32d6e1aa65df","year":2020},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.487276Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:40fcc9033404d531a064f5202c84c28e72c721b186f6fe70092d7abcd5197eab","observation_id":"f410db61-50ae-44d0-b3d2-27472fbafc47","resolution":{"observed_at":"2026-08-07T13:05:58.158988Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:57.545917Z","title":null,"venue":null,"work_id":"4a3c210c-fe93-4e80-b3d5-730316f34f1e","year":1997},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.575604Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:cc38a589dc3ce91c527ac73a5bed9c896fa057604c4a5f9f6fa1528cb8dbabb5","observation_id":"aa92a869-0720-436a-8eff-47adfa22c69d","resolution":{"observed_at":"2026-08-07T13:05:57.743091Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:57.139930Z","title":"Hagelback and S","venue":null,"work_id":"ed9c55c0-506c-48f0-bbfc-758914f21ac9","year":2009},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.617758Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:d4b4959e9336aee538f3718e4e9af23cee5d94f79585538c861288ed31cf4709","observation_id":"fe10a7e9-981c-4f3b-9eca-7fa75668c8b9","resolution":{"observed_at":"2026-08-07T13:05:57.370567Z","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":"2026-08-07T13:05:56.826218Z","title":"Hagelbäck and S","venue":null,"work_id":"e2e63de2-f1f4-4154-bfac-c1eb4ef8ffdb","year":2008},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.677676Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:97c844423977b5735699fc53389f2cf612520b10c1e154b8ce8c129c01b8fb8f","observation_id":"37b2034d-92af-42e2-81ea-82eb4d475373","resolution":{"observed_at":"2026-08-07T13:05:56.998875Z","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":"2026-08-07T13:05:56.555408Z","title":null,"venue":null,"work_id":"60c9125f-f4b8-4333-9d54-d49ede1c4c9c","year":2020},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.751740Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:667cda9edc1b4d8f06070d98bc3f154923e2da91829324bade71cde5710fcb20","observation_id":"c0a3abca-fb0f-4078-b48c-b163a4817a57","resolution":{"observed_at":"2026-08-07T13:05:56.704121Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:56.378912Z","title":null,"venue":null,"work_id":"72faf655-3711-4b98-8a1a-c5418f0f3fe0","year":2022},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.812596Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:db4a9311938ebcac342e4b9dd16cf3d797f4cf3712c96f29e57b80322f4bfcf0","observation_id":"f1169fbb-0316-4b7f-b527-b5115af28135","resolution":{"observed_at":"2026-08-07T13:05:56.445743Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:56.222668Z","title":null,"venue":null,"work_id":"37d46b22-e5da-45bb-b3de-1d09f0225b4d","year":1986},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.902617Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:f463c233355eb8ff3de60b400cf4eb4f8117003bb8f5d8ab00572ef1cd62b89c","observation_id":"d3ae7a3b-2e70-4a25-82b4-29d01eb79392","resolution":{"observed_at":"2026-08-07T13:05:56.318760Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:56.092050Z","title":"Koren and J","venue":null,"work_id":"c562a88a-b9cc-4edb-8cd5-39a0fd896157","year":1991},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:45.961775Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:f46b35a09249bbff31cd279a3379cda1d748a4fa70faacdf0f36ecfde691b261","observation_id":"6548d4cd-2cf1-4f46-8fff-9bcd144e69a3","resolution":{"observed_at":"2026-08-07T13:05:56.145836Z","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":"2026-08-07T13:05:55.843257Z","title":null,"venue":null,"work_id":"69bd62b8-cb4c-43d3-b3ad-ad94a66e3213","year":2022},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.053130Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:4ce816c2dd8cc61c45c8c3fce502284177a15ab927382eaf0e0fefff2b9181b3","observation_id":"ac8ae5fb-1992-44a0-8ccf-9dbe31e2698c","resolution":{"observed_at":"2026-08-07T13:05:56.005694Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:55.574278Z","title":null,"venue":null,"work_id":"7d589b85-2fba-42f3-8f30-afeaff231f7d","year":2022},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.092982Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:a881f3b8363462935978e5b5fb9f4be31b846c2960f3600aba48b2d5e35d0207","observation_id":"0fd9e276-d025-45a9-975b-337c5e51a822","resolution":{"observed_at":"2026-08-07T13:05:55.700659Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:55.293907Z","title":null,"venue":null,"work_id":"7f17ceaa-0d4b-48df-9799-93339f6bee3a","year":2021},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.192724Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:e74abd2c85c151e25ddc7ef33935cb367a87ba62ff6218b2ff8db8f66191203f","observation_id":"f18da87c-7d71-40bc-b3fe-82fcdac869b3","resolution":{"observed_at":"2026-08-07T13:05:55.454518Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:55.006631Z","title":null,"venue":null,"work_id":"106a4664-8683-45b4-90dd-7fbd9c31cd5d","year":2021},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.252612Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:4414421139c32c988ec47007d0149e496f0e18ae18d81727dcc70e9ad4937e43","observation_id":"899aa00f-ce6e-4753-acde-3220af06cfb7","resolution":{"observed_at":"2026-08-07T13:05:55.146563Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:54.789908Z","title":null,"venue":null,"work_id":"37dfa401-fac6-4d3d-b647-ea4462d61b2d","year":2022},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.309784Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:29d69ab8f7cfc83b3efd98d8f0e74c9462e20f983ec63ab2763f1373bc0662aa","observation_id":"781b9cfe-b26c-4e4f-aae5-932ecf143114","resolution":{"observed_at":"2026-08-07T13:05:54.875701Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:54.568108Z","title":null,"venue":null,"work_id":"4e1d8c68-1c75-49e9-bcec-f38cb9d67040","year":2017},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.401415Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:c8f671f66771bb9b2e6ec68a99cb2ac6d8532061be0bccd2ca257f49318fd123","observation_id":"5a9ac0fa-04cf-4e69-9bdc-cad43dd42d1b","resolution":{"observed_at":"2026-08-07T13:05:54.690560Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:54.229590Z","title":null,"venue":null,"work_id":"14e5d9ce-f8a8-4ef5-b6a8-cc70cb1c3939","year":2011},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.441993Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:6794ed61b2488021c3b699dd51b3a7712b73c05dbe9b248d6dc9013c9fff5989","observation_id":"c76c09c9-8f1b-4efd-9053-a784aca31bf9","resolution":{"observed_at":"2026-08-07T13:05:54.382180Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:54.085299Z","title":null,"venue":null,"work_id":"acc220a0-17ae-4de6-a6f0-5ff8fba35cd5","year":2017},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.539776Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:8dc5815f08bd0faf4ba702e6dd7c3b2eb2084e81a7f5d0cdb14ba1371112d537","observation_id":"a7f72806-42f1-43b1-b76e-36fba183e67a","resolution":{"observed_at":"2026-08-07T13:05:54.136134Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:53.885924Z","title":null,"venue":null,"work_id":"28dd831f-f151-4c79-8582-da3822e22a6c","year":2019},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.602299Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:28f4fb38a45172cbf079efb621b947a1aed3e7fef0d046c765871e0228d6450c","observation_id":"d83217ad-8624-418e-88d3-f23eed12c03a","resolution":{"observed_at":"2026-08-07T13:05:54.015299Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:53.685921Z","title":null,"venue":null,"work_id":"1df0a77d-6423-4c49-bcf8-0c32db79962f","year":2016},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.670179Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:cd5843d8bfd3caca61daf2ea4f923d9829620f251baddffc565f73b8ff232712","observation_id":"4b8d8b32-bad2-4cdc-9785-b3a98d7c8111","resolution":{"observed_at":"2026-08-07T13:05:53.789041Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:53.518460Z","title":"Morag, R","venue":null,"work_id":"6dd65588-5e55-44dd-9af4-b1ddd7d386bf","year":2023},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.734188Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:d5b61baa1db392660476c4627d31f8d5d57276bca739de548abb72a595081376","observation_id":"c3f6fe5d-725d-43f7-8df9-4167cc976eab","resolution":{"observed_at":"2026-08-07T13:05:53.601325Z","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":"2026-08-07T13:05:53.315594Z","title":"Morris, C","venue":null,"work_id":"76cd8861-5ee4-4234-a4dc-a004852d60fb","year":2016},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.811324Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:ec74c07d9b7f73e0081671cc143e81b32379d4a858c13e06a0a9d02a9590f78a","observation_id":"230b27f7-632a-4d17-a03f-fa19efb2e8b7","resolution":{"observed_at":"2026-08-07T13:05:53.428077Z","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":"2026-08-07T13:05:53.121694Z","title":null,"venue":null,"work_id":"85d91392-d1cb-4226-8a65-e1f3eae5e9d0","year":2023},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.886975Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:47cf48d93b191c8fc0b7386dfe75b70d79be6147eb1d37e358cbb797a120fd35","observation_id":"0b1473b8-8e9a-42d3-b961-3bb92d1aa01e","resolution":{"observed_at":"2026-08-07T13:05:53.237739Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:52.988469Z","title":"Okumura, M","venue":null,"work_id":"45be3d69-1e6a-4bfc-b359-64842ac511a5","year":2022},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:46.943626Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:15d3d14ad8bf28f8eba8fe319ffe043434b5ddb29633ce35e89202e2e38b34c6","observation_id":"285610cb-cc6b-487c-b4b2-ed058a53c1ea","resolution":{"observed_at":"2026-08-07T13:05:53.036655Z","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":"2026-08-07T13:05:52.916675Z","title":"Phillips and M","venue":null,"work_id":"da80a98c-3372-4073-9b1d-461633b6569c","year":2011},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.006110Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:77837dd633c41e0efc39e5b25007867dbbc80c6ff57480a5389fa633830a6ca5","observation_id":"176076a5-9c28-41d1-9250-5f9200a997f0","resolution":{"observed_at":"2026-08-07T13:05:52.922039Z","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":"2026-08-07T13:05:52.805630Z","title":"Rezaee and F","venue":null,"work_id":"eafb5f6d-8cef-41ce-a8b7-ab0f0d7f0840","year":2012},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.088451Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:f3b7b721973d667762fc465a647ac9ce80886899ecabd4472013a6847b468bf1","observation_id":"017b2bfd-cd4e-4179-a721-d5797779d2a9","resolution":{"observed_at":"2026-08-07T13:05:52.861417Z","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":"2026-08-07T13:05:52.644421Z","title":"Salzman and R","venue":null,"work_id":"eff5a8da-ac5f-43c4-9300-c13d6e1bde0d","year":2020},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.142179Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:6be7389fb23527138d340079f0bbf54653704059b2871b4cc798ecf0f192c87b","observation_id":"6c1b0abf-4812-4bc8-8286-51871f7ef3ff","resolution":{"observed_at":"2026-08-07T13:05:52.725535Z","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":"2026-08-07T13:05:52.521227Z","title":null,"venue":null,"work_id":"5abdb4cb-0b26-443a-85dd-d7a8e429e0dc","year":2020},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.212116Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:0a3fc2869d8df55d335de76a5f4acc41970e20ca9f338900fe24d4775aa4f52d","observation_id":"046d56db-6edf-49bb-ad1b-c84706511e93","resolution":{"observed_at":"2026-08-07T13:05:52.582334Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:52.378015Z","title":"Sharon, R","venue":null,"work_id":"f2538ca9-8656-43f8-bbbf-b9da249002e5","year":2013},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.296362Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:29ff1eafcb10e6a218e6c013311ad167619b962c94547bbd45ab82613009ff5d","observation_id":"4b445531-8f16-47f5-8fbf-de53ca85773f","resolution":{"observed_at":"2026-08-07T13:05:52.441859Z","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":"2026-08-07T13:05:52.225590Z","title":"Sharon, R","venue":null,"work_id":"5110e071-b2ad-49a4-9343-05bd6dbab40d","year":2015},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.379164Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:2857b6921f046e18e0b8d033f88c1bfcbbb220bf9106f9b881c1816ce98cb0ca","observation_id":"01e7f8a9-b5d6-42c3-8abb-45edefd6ba27","resolution":{"observed_at":"2026-08-07T13:05:52.279578Z","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":"2026-08-07T13:05:52.092392Z","title":"Shin and E","venue":null,"work_id":"240c4818-3b65-45df-92d5-5f9844f1c426","year":2021},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.421568Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:d605180a06c1e31f261f1c04aeb331adcb6c02c1caf1ee6a2cfc7d37fe0a7315","observation_id":"967d9d23-e51c-4524-98ed-c4b598647a03","resolution":{"observed_at":"2026-08-07T13:05:52.151626Z","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":"2026-08-07T13:05:51.947604Z","title":null,"venue":null,"work_id":"25964209-9cd3-41e5-9bfd-cfcedc46b8bd","year":2005},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.492953Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:8c53f015b58fb18389acfe7523529ced7234634f567965c1a20f25a194e44610","observation_id":"bfb9df6f-d68b-4522-a0a1-13fdd2c06c28","resolution":{"observed_at":"2026-08-07T13:05:51.997245Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:51.809091Z","title":"Skrynnik, A","venue":null,"work_id":"23c5499f-74d0-4dd2-95a2-7f0a4e937ba9","year":2024},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.580655Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:be1481dd48e0c02935ccf8673837b98ed15dd9405fbc29b41c57eb9ae4a0f1de","observation_id":"926fa186-a665-4799-ae97-de9fbb4e127e","resolution":{"observed_at":"2026-08-07T13:05:51.867535Z","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":"2026-08-07T13:05:51.673389Z","title":"Song, K.-I","venue":null,"work_id":"813b819a-0a83-44df-907c-b0ced1c608f4","year":2023},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.627214Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:26efd9e2829534c9e38e68bee2647a020298232be1b36388302ca89f17352a04","observation_id":"8d873f05-182d-464c-9ac3-c74ddd0dc78c","resolution":{"observed_at":"2026-08-07T13:05:51.727188Z","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":"2026-08-07T13:05:51.507435Z","title":null,"venue":null,"work_id":"11b2684a-2045-4436-8709-27e2ccf8a834","year":2010},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.702218Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:b700bfdd0641f1620bfb560bcb9572e96ab314069fbb9c1235696580e57b19b6","observation_id":"0808cce0-5d2c-42b4-80d7-d55f0c85e2c9","resolution":{"observed_at":"2026-08-07T13:05:51.606949Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:51.370849Z","title":"Stern, N","venue":null,"work_id":"eb320af9-271c-4a6f-93cd-b34b902150bb","year":2019},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.795282Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:6bb63965ed27ab63387b1e181f1c992ed610c479a9f1e85923ba1b52e85ece8e","observation_id":"150ebac0-23ff-4688-b9ab-1e2f377909c7","resolution":{"observed_at":"2026-08-07T13:05:51.432281Z","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":"2026-08-07T13:05:51.210937Z","title":null,"venue":null,"work_id":"de8375b7-eb0b-4f35-8d0e-d47a773524fd","year":2010},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.840334Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:46960343bf31ba7fe7de02812471bb5ff67d42fd6a3b3a5d314e7e73d4eabe25","observation_id":"df0b6b8a-aa70-4ae8-a3ed-d32c1840be70","resolution":{"observed_at":"2026-08-07T13:05:51.300513Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:51.062183Z","title":"Surynek, A","venue":null,"work_id":"f9fe7777-0b09-4b5f-97ff-dcabc619a60b","year":2016},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.916081Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:4b9cee8f867ccba68262239c149a20424a35764aec9861c21f1887cddfc2cc4e","observation_id":"b1c725e0-0ce2-40b5-87a9-c845cce37389","resolution":{"observed_at":"2026-08-07T13:05:51.126869Z","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":"2026-08-07T13:05:50.891317Z","title":"Švancara, M","venue":null,"work_id":"46fc77b9-1347-4b0d-afee-eaaed6d4b7cb","year":2019},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:47.992783Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:562310178b9ac0b6f39f0bd1d5593758a72dfc474d3faedb6d8e1548391921a3","observation_id":"cc68780c-0000-43e3-8208-ecd9b89d6fa7","resolution":{"observed_at":"2026-08-07T13:05:51.005076Z","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":"2026-08-07T13:05:50.780812Z","title":"Vadakkepat, K","venue":null,"work_id":"1d380612-2856-4c1c-808d-26f953e4ec25","year":2000},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.072803Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:5e6c4182530a3befa888b31c47ddeae83e2fd90fe9b681d988ff02b17e9a3f86","observation_id":"27240c5b-17cb-42c6-b4c4-8a3b4ae562f0","resolution":{"observed_at":"2026-08-07T13:05:50.832960Z","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":"2026-08-07T13:05:50.636552Z","title":"Van den Berg, S","venue":null,"work_id":"c9fec5cd-d951-482e-8c54-7f484dae5b59","year":2011},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.189408Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:fa145a27f535435c4c412140a1e963d4062df0d870b6343e3ca007695a4470b8","observation_id":"52c6a45e-2940-42c0-9e9c-08ab9fc306bc","resolution":{"observed_at":"2026-08-07T13:05:50.692269Z","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":"2026-08-07T13:05:50.484179Z","title":"Varambally, J","venue":null,"work_id":"223b52d1-3753-4301-a5a4-140d1ff26be6","year":2022},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.251744Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:7905ab089db566b354273be927f70f38decbb076cf5cd51b09428358edd84172","observation_id":"afa3856b-522f-420e-a581-b3c38a8cdd14","resolution":{"observed_at":"2026-08-07T13:05:50.579456Z","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":"2026-08-07T13:05:50.325986Z","title":"Wagner and H","venue":null,"work_id":"90ac345e-9c26-4d08-bd3f-489d363d7bb9","year":2011},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.330511Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:9d2e34d1690ae3de0a5be949519d4afd4cf379a3a92dafbe10cbde588c1f5390","observation_id":"8d5a686e-447b-4b33-8aa1-ae47d5e1c962","resolution":{"observed_at":"2026-08-07T13:05:50.388740Z","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":"2026-08-07T13:05:50.161143Z","title":"Wahid, H","venue":null,"work_id":"537ec1ea-dfe4-4b44-8d18-eb7f4df27da8","year":2017},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.449660Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:0946551f8e47b0fa402d29e703178a016be8b9df39a2a88854d79d228447b442","observation_id":"aab8dfb0-7ed9-4b1b-bdcf-e38734d787db","resolution":{"observed_at":"2026-08-07T13:05:50.246953Z","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":"2000.84472","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:05:49.172061Z","title":"Wang and G","venue":null,"work_id":"e9a5fc37-5f22-4daa-860a-6c6062c7157b","year":2000},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.533120Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:89ffaad9e98af05080cb6767693d757f0b629118bb8161d1cefdf5b1e0532243","observation_id":"4f2e362a-4c72-4e1d-8c9e-62fbf1343477","resolution":{"observed_at":"2026-08-07T13:05:49.232828Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-07T13:05:49.966902Z","title":null,"venue":null,"work_id":"f81f7f93-50a7-4b82-992d-77adcb8f23e2","year":2008},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.635032Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:af749c6a9964a47e9aa4ca58adc91b97beaf526a31a06717a156893699f8e510","observation_id":"d8860665-a161-4adb-9164-0d1560629405","resolution":{"observed_at":"2026-08-07T13:05:50.062589Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T13:05:49.778066Z","title":"Yu and S","venue":null,"work_id":"f175bd2d-52fb-493e-9f46-3da0ff9340ba","year":2013},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.711445Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:7ad3de15f5bbae3861bc1d7c45da5aa9c53499b88a322ccaaa9d431d6daefc47","observation_id":"3ae65f74-095c-411e-8f27-eb009482fb04","resolution":{"observed_at":"2026-08-07T13:05:49.893718Z","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":"2026-08-07T13:05:49.657501Z","title":"Zhang, W.-m","venue":null,"work_id":"bfc77e26-a0d1-4a87-8691-d1acc42e9d65","year":2018},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.819078Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:dce0312d7163fcdca64f3444893004513f300a05a1f97d50f8c479b809137a50","observation_id":"9db001f6-846a-4fee-aa3d-2a45c519bf8b","resolution":{"observed_at":"2026-08-07T13:05:49.722694Z","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":"2026-08-07T13:05:49.452476Z","title":"Zhang, J","venue":null,"work_id":"ec0cf7e3-2688-4320-8107-3dd05335766e","year":null},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.885980Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:3baa43f4adeeb071874236e9754c200777e78a9e7ab7e6fcf491f4e8e3996553","observation_id":"0ae7426e-d0bf-4c36-addf-87088bcc51bc","resolution":{"observed_at":"2026-08-07T13:05:49.545411Z","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":"2026-08-07T13:05:49.336208Z","title":"A Justification for Parameters To demonstrate the role of each parameter, consider Figure 5","venue":null,"work_id":"2bcc242b-f6c7-465c-b8cf-0f27a31fc467","year":null},"citing_paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T13:05:48.992546Z"},"links":{"citing_paper":"/paper/2505.22753"},"observation_digest":"sha256:0efd45670571cf1f6157cc6af02ebf37e690ea5c87ae48032770c150f85e9aa9","observation_id":"3ecec633-8894-49ac-a97e-e21d12ab5d01","resolution":{"observed_at":"2026-08-07T13:05:49.377355Z","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"}}],"paper":{"arxiv_id":"2505.22753","last_updated":"2025-05-28T18:13:10Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T23:01:59.215573Z","submitted_at":"2025-05-28T18:13:10Z","title":"Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":32},"total_outbound_references":59},"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 8 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2505.22753."}