{"as_of":"2026-08-13T04:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3d91c83330d39f8ccf3875f59bee19160a6f235d2396170e51ea76f63ccd1e8b","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:09:29.159257Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2411.14593/citation-record","integrity":"/paper/2411.14593/integrity","json":"/paper/2411.14593/citation-record.json","paper":"/paper/2411.14593"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:09:30.019092Z","title":"Fuad Fahruddin Achmad Ali Fikri, Syamsul Arifin","venue":null,"work_id":"4ff974fa-5445-4e84-815c-42001a3d402b","year":2022},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:28.960939Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:322dbd5e06734b38f326fa6670675bb08502e41b116ed73f34059dcf5f9f2e3d","observation_id":"eea6f632-a02a-4c24-ab28-46bb13e5095b","resolution":{"observed_at":"2026-08-12T15:09:30.024533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:30.007604Z","title":null,"venue":null,"work_id":"72989162-6203-4660-8700-df003019f252","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:28.966325Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:1ba39dfd915d5df7e4e2f89cb7b18bf78dbf0143fac76cd7e78892585c73ff7e","observation_id":"8ca23ed6-9556-40be-b503-21f097a7d954","resolution":{"observed_at":"2026-08-12T15:09:30.011844Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.994490Z","title":null,"venue":null,"work_id":"59f5ca98-3230-47f6-9e02-c965208b0cc0","year":2022},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:28.970191Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:40aa9297462a129969b3836960b85c07f05731a84cc964208ff140ed49a9efc6","observation_id":"7476dcdb-b624-43d0-a72c-f5b6fb7c6858","resolution":{"observed_at":"2026-08-12T15:09:29.998266Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.984501Z","title":null,"venue":null,"work_id":"a5d9afb9-ff5e-4d6d-b17c-0d44647cd5c2","year":1998},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:28.974113Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:d8aff6f72f5be8c2bec421994641e054da1899d9feed5098211087a016e72b3e","observation_id":"0e460193-bc4d-43a4-b8f9-d8f94d309a36","resolution":{"observed_at":"2026-08-12T15:09:29.987722Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.974840Z","title":null,"venue":null,"work_id":"c087c110-d80d-4576-b67c-1e6172256e71","year":2023},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:28.977718Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:79358ce42af62cef3167a09bfaefe2a892c299aa7efd3af058351224d79388f2","observation_id":"ee1a4386-9b9e-4175-a16e-7588f4502c6e","resolution":{"observed_at":"2026-08-12T15:09:29.978065Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.965667Z","title":null,"venue":null,"work_id":"3dae72e3-0608-4e9e-84c9-46803cd192ca","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:28.981738Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:fd7b5c904d4cf76c681a91a5180635eba7bdea4f674bee5911f806efd9eb3488","observation_id":"25af967b-3e88-495e-b262-5e25ba95dc21","resolution":{"observed_at":"2026-08-12T15:09:29.968670Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.955769Z","title":null,"venue":null,"work_id":"61deb4ee-658c-4d34-a3c8-7483f1187db5","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:28.985763Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:a994fd180cfe5c5d6dc182fc40cc6142ddcae45b91717834bc124ee8184a4a43","observation_id":"597379ce-0748-4311-bebb-7b870418d15e","resolution":{"observed_at":"2026-08-12T15:09:29.959237Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.945859Z","title":null,"venue":null,"work_id":"e7d8a945-dd8b-48eb-bd6b-36d7cdc13f23","year":2017},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:28.990567Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:d1f229059ae579cfd88ce61a05bad1beeaa9b69dd19e1d9eb87e3ed59ab510d4","observation_id":"44b414c2-785a-4211-85c6-45ef87b09d81","resolution":{"observed_at":"2026-08-12T15:09:29.949093Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:28.994634Z","title":"Dolan, and Bakhtiar Litkouhi","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:28.994634Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:d627fcb69485e8f2eb8fb5ecb751d8731ccb70175c7a4138ea7432dbeb94da96","observation_id":"3ed7384b-7e83-4dcc-bfec-c24654a459d1","resolution":{"observed_at":"2026-08-12T15:09:28.994634Z","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":"2026-08-12T15:09:29.935722Z","title":null,"venue":null,"work_id":"c75a01c2-f7a4-44a8-b012-37bd9207bd48","year":2023},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.009190Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:4cd7db4c1e47cdf17629350809bea694cb252f90f320387e83d074a0d30510a0","observation_id":"9c27e7d5-7199-450d-9c0b-84d0cc51e3b5","resolution":{"observed_at":"2026-08-12T15:09:29.939003Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.925500Z","title":null,"venue":null,"work_id":"76512ade-0765-494e-844c-866fe3f5365c","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.016551Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:be29e040b1bcdca686f4c4d48cb3dbb1c9450592eaa63ec936f88b58a35c08ea","observation_id":"22d47a5c-8dee-44cf-8d87-893ac43fbdb1","resolution":{"observed_at":"2026-08-12T15:09:29.928789Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.913399Z","title":null,"venue":null,"work_id":"ee3cb4e4-0138-402d-ae3d-4826a19e9a82","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.024737Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:a0c582dbdf111c5cebb5e71f6315be64e82a37ee50bcadf5d659e5544c2bb9fd","observation_id":"3956f805-f2c6-438f-b708-c6ca946c67ae","resolution":{"observed_at":"2026-08-12T15:09:29.916828Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"francisco-north-beach/3294264","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:09:29.638101Z","title":null,"venue":null,"work_id":"234b6007-3824-4deb-aa25-e8cc6b49b26a","year":2023},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.029733Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:b853c8638f6801af4c9179ffb4e1dff0ddfaca355bffff94d6534ca17cf8f2ef","observation_id":"4c8de5cb-5d3a-4560-b8a3-d982a588eb3b","resolution":{"observed_at":"2026-08-12T15:09:29.643516Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.044146Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.044146Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:2d4628e9375edf02553c5420c2a5285b666db927f7163b379e68d2bb4161358f","observation_id":"1a7762e3-f54b-4cef-86ad-5e9aa9059fe8","resolution":{"observed_at":"2026-08-12T15:09:29.044146Z","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":"2021.95649","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:09:29.553009Z","title":null,"venue":null,"work_id":"beb038f7-8d65-4edd-84c4-7c176ac5db87","year":2021},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.050440Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:d2df6d74c4f1d554319e9d3fcd905a2d571e9a0c8e4525ed46a1d496337fc0dc","observation_id":"736fa274-5937-48b5-9dc1-78fd4493473a","resolution":{"observed_at":"2026-08-12T15:09:29.559011Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.900841Z","title":null,"venue":null,"work_id":"5ec781bc-06c8-4dda-bc51-5403a556ff9e","year":2023},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.054052Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:ee0515089acc09382482042fdd05276b4986fa99b439117cd01a2f3f8c7078d1","observation_id":"cba03ad9-c624-4818-b893-8e8f4bb88f99","resolution":{"observed_at":"2026-08-12T15:09:29.905185Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.890211Z","title":null,"venue":null,"work_id":"12fdc564-cba5-4558-bfd5-d5e97c7ebdce","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.057672Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:3181a01c960fb1ba187ff32a1d0f725f45107aeefbecac0580cf575f9a6487de","observation_id":"b72fbcfe-5f5b-41cd-8cb7-9adfe1a2a5e5","resolution":{"observed_at":"2026-08-12T15:09:29.893777Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.879405Z","title":null,"venue":null,"work_id":"a8b7a2e4-2f2b-475d-909d-2fed92e7c8cd","year":2022},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.061149Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:04b9a672d6db57cb166ff72df8e279ffbf97dc312b3b20f496f0720f09b0eba5","observation_id":"b5c8c15b-77cd-434a-a391-edb2a2f8ffee","resolution":{"observed_at":"2026-08-12T15:09:29.882985Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.869728Z","title":null,"venue":null,"work_id":"8603c01a-6a37-4bee-b703-ad5580953477","year":2023},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.064436Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:ca1a599b6b4ee03398faca00ccbd01ab325d34e38f0a7d21244d9b67c89acebe","observation_id":"5f50e63c-72ea-4bc3-9e8d-4eafde9cfb21","resolution":{"observed_at":"2026-08-12T15:09:29.872758Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1509.02971","last_updated":"2019-07-05T10:47:27Z","snapshot_observed_at":"2026-07-06T04:29:24.362640Z","submitted_at":"2015-09-09T23:01:36Z","title":"Continuous control with deep reinforcement learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.02971","snapshot_observed_at":"2026-08-12T15:09:29.077117Z","title":"Lillicrap, Jonathan J","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.077117Z"},"links":{"cited_paper":"/paper/1509.02971","citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:580cfcdc4c243f4d68164e90ddb16b2c072ec9cecb95320c09b266df19a7fb81","observation_id":"a84fed8b-8956-423c-a55a-517f8f1c63f1","resolution":{"observed_at":"2026-08-12T15:09:29.077117Z","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":"2026-08-12T15:09:29.858388Z","title":"Boudette","venue":null,"work_id":"484e8468-6e35-42e8-bc1d-a0b55335f07b","year":2021},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.080885Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:c2e9cd22eb26222048f1575a139852daddc1a424a84e8b50fae89458e78dc03f","observation_id":"e876c88e-836b-4f33-a6ae-209005bb0a3e","resolution":{"observed_at":"2026-08-12T15:09:29.862425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.846735Z","title":null,"venue":null,"work_id":"a6555d7f-b017-44c7-8ea8-9e4a6e059dc3","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.084498Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:9f5cda3870786e1d1109c65556d20942baa7ab3b92f66207eaa6b3cec9493d60","observation_id":"68bbff76-f59d-4840-af6b-706df0ddc375","resolution":{"observed_at":"2026-08-12T15:09:29.850619Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.087777Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.087777Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:900080bb8d64f19d4dfb07f596137b87e62acb585c2383d76b08df86ac4977af","observation_id":"43220acd-4400-4658-a404-04c3ef76a2a7","resolution":{"observed_at":"2026-08-12T15:09:29.087777Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1177/154193121005402403","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:09:29.219337Z","title":null,"venue":null,"work_id":"0e14865d-7e95-42c2-9f14-23f1f15b7ee7","year":2011},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.090856Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:814775364db3bc520755aac214e83199b6ab0a3b7cf66e0d994ee90fe2a7116d","observation_id":"e1a1b60e-68cd-4071-8363-7324d0b847c2","resolution":{"observed_at":"2026-08-12T15:09:29.222953Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.829787Z","title":null,"venue":null,"work_id":"a1e0c3e2-8888-4499-b826-7074a32802ca","year":2022},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.094373Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:ed1feefd954ca53e68f7be632d1fcd72f1aba901de2f2767ef64730be7b86a54","observation_id":"c56e319f-2ecc-4443-bbce-e260f377a2ca","resolution":{"observed_at":"2026-08-12T15:09:29.832752Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.techfore.2019.02.010","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:09:29.208129Z","title":null,"venue":null,"work_id":"74db0c13-261b-42e7-8f67-921e273f3aa8","year":2019},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.097642Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:97f8be348f4b4abfe16ffcb8c67957095534ae9293a51bcac8b8cf23cf8764ef","observation_id":"fc5ed0c0-524a-4703-b4d7-b8ad0de5e789","resolution":{"observed_at":"2026-08-12T15:09:29.212120Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.819938Z","title":null,"venue":null,"work_id":"fee2e0b1-4d4b-45e6-92ff-0d346b6f2019","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.100911Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:ad173dc5fd4979c44f40d42d2abb485367115af692f0a33eade3eaf70bfcce96","observation_id":"9e57e7e8-6c3c-4c80-963b-d2d9506a7dc2","resolution":{"observed_at":"2026-08-12T15:09:29.823198Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.4271/j3018_","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:09:29.194937Z","title":null,"venue":null,"work_id":"9b7c6f99-e26a-4d16-a989-9cb1a2f290cd","year":2020},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.104171Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:8ed39a87faefb5153374b4fe278683bd017279af82a46f6ce4279ab1b1672430","observation_id":"7323b12b-6237-424a-b2a7-2cd11c133a45","resolution":{"observed_at":"2026-08-12T15:09:29.200007Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.809966Z","title":null,"venue":null,"work_id":"22e5c804-ee2b-4297-b095-6bb1a0c3185b","year":2023},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.107497Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:d4f470742ae0fb832a35bf6df4e6224e41ea5b02b9f37e5eea54c05b66681879","observation_id":"9600676c-dd8d-4b24-8d57-d72aa1b99ce2","resolution":{"observed_at":"2026-08-12T15:09:29.813209Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.110516Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.110516Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:4afd25f4eadbc28553e55c955a407567ea7f9ddcf1d2d2c50126d06e5ad11e8c","observation_id":"6a0c03e7-dc1d-44ad-85b8-04a8e95179ac","resolution":{"observed_at":"2026-08-12T15:09:29.110516Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1610.03295","last_updated":"2016-10-11T12:09:03Z","snapshot_observed_at":"2026-08-12T23:44:54.360729Z","submitted_at":"2016-10-11T12:09:03Z","title":"Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.03295","snapshot_observed_at":"2026-08-12T15:09:29.116430Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.116430Z"},"links":{"cited_paper":"/paper/1610.03295","citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:85af5c2b462876c0f0d5ed991299ef63c59fb664be3258fd3193afd6efafaf53","observation_id":"d5e95d8f-47dc-43e7-a4f5-1de84e585473","resolution":{"observed_at":"2026-08-12T15:09:29.116430Z","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":"2026-08-12T15:09:29.120016Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.120016Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:52390fa79b861f6c090668f3bc93a6118a97e74afe81a1bcb71d77663d28ae59","observation_id":"8f117bec-13ad-4de0-af6f-062a1cc825b2","resolution":{"observed_at":"2026-08-12T15:09:29.120016Z","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":"2026-08-12T15:09:29.798808Z","title":null,"venue":null,"work_id":"236f03e0-f5a4-4575-bf58-8cc2be801342","year":2023},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.125955Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:d00cab21ce04f923a382f19d97008e1f5c01bd9bac2198367b697d7e8bb512ce","observation_id":"61baf26b-323b-4252-99dc-a90f87bb36a3","resolution":{"observed_at":"2026-08-12T15:09:29.801892Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.788668Z","title":null,"venue":null,"work_id":"0571c968-263a-4167-b7dc-74580c29950f","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.131333Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:ab05469ff5d24f2234891e1ba5570495a9e03277243f8215dcc3e3906fdf7367","observation_id":"c16baf71-f495-4e65-8115-93cacfaee41f","resolution":{"observed_at":"2026-08-12T15:09:29.792314Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.777917Z","title":null,"venue":null,"work_id":"71fef933-ac50-412a-8868-ddac3578acc7","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.134556Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:544c8c1cb27adddc86070046c6caa014eb3216497daa3a21ee0fbaf6e461cfec","observation_id":"72e60733-7e3b-4339-a201-d506498ac8e1","resolution":{"observed_at":"2026-08-12T15:09:29.781552Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.767455Z","title":null,"venue":null,"work_id":"d5c5a100-3da9-4eac-8722-f381525f5d52","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.138109Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:aded0700fe39b5b0e5cb23abf24c86f6b8804221727772cc5f315f07efe41c2c","observation_id":"5cfaac31-fb30-49d9-a726-5a51461ab80e","resolution":{"observed_at":"2026-08-12T15:09:29.770592Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.141676Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.141676Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:74676760135444f79679792b7e5224d5169db6bbb5cee09e92aed818525f1d85","observation_id":"6319b314-3145-4560-bddc-4e5093bec1e6","resolution":{"observed_at":"2026-08-12T15:09:29.141676Z","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":"2026-08-12T15:09:29.757132Z","title":null,"venue":null,"work_id":"6c5464b5-cc1a-4870-b317-39d725b250b1","year":null},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.145391Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:05f09ebfaa07a3fa2469d5ad7a4318d54549e473d0a5f53f333e9c14542532dd","observation_id":"489a73c1-91a8-4355-bf9a-a7982db98e3b","resolution":{"observed_at":"2026-08-12T15:09:29.760651Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.735422Z","title":null,"venue":null,"work_id":"ba31d053-861c-4d12-80a9-bd21676d1ba7","year":2013},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.152756Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:ce5327c3144b7918034a9ff956b0d1970067768774d9e275f82aec1e52d229af","observation_id":"a7ba5d7f-30fd-412a-914c-922457d6536d","resolution":{"observed_at":"2026-08-12T15:09:29.738708Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.724268Z","title":null,"venue":null,"work_id":"19b0d422-bea3-4fc6-b0b0-a43febcfcc80","year":2024},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.156090Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:545f6fbbf483f941500712e210390158d6148d3ef1e201521e8325882bb89fa8","observation_id":"d24cc2ec-c721-4f56-8724-8b1d59a72b43","resolution":{"observed_at":"2026-08-12T15:09:29.727913Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:09:29.159257Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.159257Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:c6073c16b93830f971a982c41c2b1d53568eb7981a8844ea26b28f236699c18f","observation_id":"b3ba2696-c3bb-45b6-bd60-f26d1de37f69","resolution":{"observed_at":"2026-08-12T15:09:29.159257Z","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":"2026-08-12T15:09:29.746135Z","title":"(2017), 1–30","venue":null,"work_id":"60f2c85a-5530-42b8-9b38-ee2745136666","year":2017},"citing_paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-12T15:09:29.149520Z"},"links":{"citing_paper":"/paper/2411.14593"},"observation_digest":"sha256:fb06fae97a1a7c1b481aba1c995450f4750bc86822d5d5764f66be415e84ddc4","observation_id":"c16da26c-1a65-44a5-95b3-051f1fa7269b","resolution":{"observed_at":"2026-08-12T15:09:29.750060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.14593","last_updated":"2025-01-17T01:00:13Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-12T15:04:50.333051Z","submitted_at":"2024-11-21T21:23:46Z","title":"A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":2,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":32,"verified_exact":4,"verified_fuzzy":3},"total_outbound_references":42},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.14593."}