{"as_of":"2026-08-21T23:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd342d2141fb3bc17a4ce123f79ea05370e3d64e1c4fb8241a72b9ed34edfa70","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T00:34:10.962930Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2607.03703/citation-record","integrity":"/paper/2607.03703/integrity","json":"/paper/2607.03703/citation-record.json","paper":"/paper/2607.03703"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Shen, ”Hierarchical reinforcement learning-based traffic signal con- trol,”Scientific Reports, vol","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:34e57f6e4edbd849145a4b35746c398ad026d4461a2a100246e33ad23076e2b8","observation_id":"90ae5bd6-c66e-4d0a-a2e0-3a7b3cc48171","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.355031","doi":"10.1109/ojits.2025.3550312","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Othman, X","venue":"IEEE Open Journal of Intelligent Transportation Systems","work_id":"1726b981-3fd9-4edf-a4cf-dc2f426fe6b6","year":2025},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:5ba38b3620d4c21de2788e5ed27fa051be4c8cce9b82983d6e4fefbd4621e461","observation_id":"72803d03-0960-4e02-9c94-c7aa164aa36f","resolution":{"observed_at":"2026-07-12T00:38:26.144965Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:49.172783+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:49.172783+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.356275","doi":"10.1109/ojits.2025.3562757","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"IEEE Open Journal of Intelligent Transportation Systems","work_id":"d7e35dc0-01aa-47be-96e3-a8b8995a57de","year":2025},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:5de1a15b0cbeb7706377e0d308757dc70db3c561580073914af08b6e3c6a1a4f","observation_id":"b671abc7-541f-4e6f-b4bf-3be0e622cbd5","resolution":{"observed_at":"2026-07-12T00:38:26.194142Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:49.428497+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:49.428497+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.344447","doi":"10.1109/tvt.2024.3444475","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"IEEE Transactions on Vehicular Technology","work_id":"7b50f56f-11ae-4579-bc4f-3f413688f4d0","year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:1b030be594e6c769b1459cce8a22fd059f0ae52e14c5f992723a5b2bde070cf6","observation_id":"a8c1ed01-d6e2-4183-8bb6-e119f0268c13","resolution":{"observed_at":"2026-07-12T00:38:26.055237Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:49.72219+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:49.72219+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1177/03611981231184250","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Transportation Research Record Journal of the Transportation Research Board","work_id":"e466b3a3-ffad-4ce1-bacf-098d392c9f84","year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:c413a9d52416e2b66e69ef864d86600c22d8b1de088b3a054627ac20351f5d43","observation_id":"99184bd8-b9a3-4996-a546-0512868545f6","resolution":{"observed_at":"2026-07-12T00:38:26.164930Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:49.982987+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:49.982987+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:286eb92117bcdcae1f5ec7319e2e970e29348514dea762b880d591e330b7310b","observation_id":"fa9437f4-8f7c-485e-89e2-05ec5629526a","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","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":"2023.333168","doi":"10.1109/ojits.2023.3331689","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"IEEE Open Journal of Intelligent Transportation Systems","work_id":"ca894ed9-579f-4938-ac5b-563828be893a","year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:289ef6a223b7fb1388cf2c2a650665844af926e288576c0ef01436821bcf1e33","observation_id":"ab74c59a-d1b9-46b1-ad65-efdd6e057ff0","resolution":{"observed_at":"2026-07-12T00:38:26.075983Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:50.500069+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:50.500069+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19359","last_updated":"2024-11-28T20:09:12Z","snapshot_observed_at":"2026-08-17T23:12:42.617034Z","submitted_at":"2024-11-28T20:09:12Z","title":"Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19359","snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Kwesiga, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"cited_paper":"/paper/2411.19359","citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:67bab34c2e8815ce3bf3d3eeff92fdd3983a09212c07a01cef8cc6ce51fe4e7e","observation_id":"16f4d35b-be8a-44e2-902f-8afdc311f402","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Kwesiga, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:dd0d5f9c43c86f762b2bd052e287f81a49d905a46f61b1fbd89b702b4e67972e","observation_id":"c89d23bc-bdf9-4192-b6c7-0d58d4405faf","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","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":"10.3390/electronics13234794","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Electronics","work_id":"511c64c2-44ac-4ac8-a73a-033da2e27da5","year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:b9313045ee493ad661705e1da7a90e14d6c1ae2f0bdcaf58639791cb59b9284b","observation_id":"056d6e28-ff9e-431e-ac16-309c3ab31360","resolution":{"observed_at":"2026-07-12T00:38:26.086887Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:51.064983+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:51.064983+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/su16052160","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chang, Y","venue":"Sustainability","work_id":"ab14fb45-416d-4b4c-be22-b2541e657d68","year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:8980827a2861acd03f184d74a854bd9d033e8f601bda678e32f3bdfc4e507a01","observation_id":"3b7e63cd-d10c-4113-a345-3eb2d4b779d7","resolution":{"observed_at":"2026-07-12T00:38:26.178794Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:51.366845+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:51.366845+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"6129.2023","doi":"10.1109/mt-its56129.2023.10241759","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Long and E","venue":null,"work_id":"18bcb01b-da95-41cd-99d9-3bbb84db6a66","year":2023},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:ebba305a8d72e4373f0f2041b68c6850527d08ef872169245563134c849518f7","observation_id":"68c1a13c-4ba2-4df6-a825-8c7ebb5b62ba","resolution":{"observed_at":"2026-07-12T00:38:26.028710Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:51.602694+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:51.602694+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.03669","last_updated":"2025-05-07T13:57:44Z","snapshot_observed_at":"2026-08-16T15:57:46.655111Z","submitted_at":"2023-02-04T02:49:12Z","title":"Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.03669","snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"cited_paper":"/paper/2302.03669","citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:332ef88b467e6c6572d29803a8ea6a73e13ac978805701014da8da0e578461a2","observation_id":"5a9ac117-ab96-4071-82db-2346b1cc3165","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","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":"10.1038/s41598-023-36606-2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Liu and L","venue":"Scientific Reports","work_id":"30074af4-50e5-47a9-8a0c-487cf21958d9","year":2023},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:e2a2b7aea4c97f36e99e0ba7ec18c296bbfa3b3eecea1c9aa793c8b370a998fa","observation_id":"5488b97f-656b-45c5-823d-f8eb1a747f64","resolution":{"observed_at":"2026-07-12T00:38:26.169202Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:51.914553+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:51.914553+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/su15043479","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolat, B","venue":"Sustainability","work_id":"f8e982e4-0e53-417f-9ceb-3f9db70379a3","year":2023},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:a62443acf8dad0eccf096498b5e77fe3e238fa76099620607787b4e01469cb21","observation_id":"f746b6ab-f0b8-49d0-9b8e-98f1eeafc39a","resolution":{"observed_at":"2026-07-12T00:38:26.049312Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:52.216896+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:52.216896+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:fdc92d697d0e368e962c088260a3f70061463ea5d99604175d8df67135485420","observation_id":"37d8fa8c-aae7-4fe5-bb61-2d564ce94cac","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Bouktif, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:9c16bf07c082eb4c2b22775b73ea9fdac651e8114d9178c24d98a96639ffe464","observation_id":"39ab411c-c2fe-4050-b85f-8b109702a04a","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Bokade, X","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:884f342fb72dbbadc60f91a3840f48636fb0d7b1e3c39e3142932a0488d8b58f","observation_id":"d703a3cc-69ce-406c-957f-61c307c4f7c8","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","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":"10.1680/jtran.17.00085","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Aslani, M","venue":"Proceedings of the Institution of Civil Engineers - Transport","work_id":"a4a7c9b6-26b5-4547-a26e-e529cf8802d9","year":2019},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:2b93b17a07147c4f7be86ff374a4d2cde739d0b6e2bd089452ad9d9cfc0e7348","observation_id":"0a233498-501e-46b1-a9e2-93da507840b7","resolution":{"observed_at":"2026-07-12T00:38:26.103602Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:52.985116+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:52.985116+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.trpro.2022.02.035","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"B ´alint, T","venue":"Transportation research procedia","work_id":"fbf4ecec-01f3-4245-a8fa-686513269141","year":2022},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:40791aad2b7df0dbef1e5c88713028eed4ff8766f7d6787fd4cdd38c851b7f95","observation_id":"93f392e5-5459-4fcb-9692-4b7a0b28dc0d","resolution":{"observed_at":"2026-07-12T00:38:26.059613Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:53.258697+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:53.258697+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s21072302","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Bouktif, A","venue":"Sensors","work_id":"c5a8e349-0889-499c-91c3-6467417939c5","year":2021},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:38309937bebf1897abcbe2386259c49580e953c995abb1c932fe431c2ed5ac1a","observation_id":"b971a4c9-1855-4922-90f7-fb4f2d00cf12","resolution":{"observed_at":"2026-07-12T00:38:26.078283Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:53.506371+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:53.506371+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.09035","last_updated":"2017-08-02T15:15:51Z","snapshot_observed_at":"2026-08-14T21:09:52.756618Z","submitted_at":"2017-03-27T12:40:14Z","title":"Deep Deterministic Policy Gradient for Urban Traffic Light Control","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.09035","snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Casas, ”Deep Deterministic Policy Gradient for Urban Traffic Light Control,” arXiv preprint arXiv:1703.09035, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"cited_paper":"/paper/1703.09035","citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:7f6a25027f5806608c2a9c43e017984951841b7fbd1baf850ed0f95201c86e16","observation_id":"7f1a871e-707c-4ac9-a096-4d8217109e30","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","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":"10.1371/journal.pone.0277813","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"PLoS ONE","work_id":"f4509e5d-64cc-4f83-8ac2-0f2c6acaa20d","year":2022},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:466a36a67c0eff2d7f75713f6e39a7ffb3717a738600c85f576706f9c58dee7d","observation_id":"12816ccc-3673-44bb-bbea-151bc84bd149","resolution":{"observed_at":"2026-07-12T00:38:26.117011Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:53.822646+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:53.822646+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1155/2020/6505893","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Journal of Advanced Transportation","work_id":"f63acf60-63c6-41d2-a10a-eb5b4e2b4f11","year":2020},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:5e818666ef4b29a3b40cd7727e933660d507907c2b3777fc528b44a6811900b2","observation_id":"48daed07-a77b-414c-8e12-9677de1e63bd","resolution":{"observed_at":"2026-07-12T00:38:26.183010Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:54.080192+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:54.080192+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:cb7fec41c06c678a5204320672f6a17366a4eee80482f3dbf20a67715f4a2bad","observation_id":"1dff5a32-7a10-4bb8-964c-2e8de105b365","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","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":"7707.346776","doi":"10.1145/3467707.3467767","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"c2b93033-cde2-4715-925e-7ff56209a17e","year":2021},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:d8d27ac0fe52e35e989f12f5fbddcd1e8c0149df1d82f1dc208a66646ac7d149","observation_id":"e721d5eb-e5d2-4d43-9309-867430438fa3","resolution":{"observed_at":"2026-07-12T00:38:26.175849Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:54.341617+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:54.341617+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3338.2022","doi":"10.1109/sustech53338.2022.9794168","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"7d0de65b-9601-4a0f-8e4b-35dfe1a375af","year":2022},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:dc15697d153022704ae7251bd2ed72b71bdaffc7ef07335ebecd9b21a5502d0c","observation_id":"576d5b5b-9109-4e5e-b7b1-1a952ff21670","resolution":{"observed_at":"2026-07-12T00:38:26.065705Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:54.577851+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:54.577851+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.15837/ijccc.2015.5.2025","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"International Journal of Computers Communications & Control","work_id":"d805c105-8d82-44cd-9e7d-ea83841e00c3","year":2015},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:02e12d4475472d7ffdc45ebbf7d60a3bc3bb00502784d82d0e0cbb388f0aabe3","observation_id":"6473ecb8-2f53-4301-b7bf-47124cb61434","resolution":{"observed_at":"2026-07-12T00:38:26.020743Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:54.846113+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:54.846113+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"El-Tantawy, B","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:bbc8a78fd947e91aee2491dd75c0e53e3742029757b08ab8e5e16bfe3cb29810","observation_id":"7d982ea8-c73c-44da-8919-760be313d2fe","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","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":"2018.289072","doi":"10.1109/tvt.2018.2890726","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Liang, X","venue":"IEEE Transactions on Vehicular Technology","work_id":"e74c9763-fd95-4615-ad94-74432b273c2b","year":2019},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:e56e570b6e795c8c3063599dad8cf3e4429770a5d420766d0d7a3e07d1dd34e2","observation_id":"21732494-6bbc-4459-ad9f-848502e8e7e7","resolution":{"observed_at":"2026-07-12T00:38:26.039881Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:55.3159+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:55.3159+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.883240","doi":"10.1109/ccdc.2019.8832406","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pang and W","venue":null,"work_id":"f64174b8-8161-4096-bb9a-3485fc5d135e","year":2019},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:34afd7241b8de09bf7187d2542aa32595a8f0d43ad8e90ae8ae21621cef5e335","observation_id":"f84d5a20-b4f5-4432-9e4e-b1194f0d7180","resolution":{"observed_at":"2026-07-12T00:38:26.188616Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:55.548911+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:55.548911+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:3fade3c03a48f53bf4e72d02da7505e1ae25ca66fe7188fa1c3aabf13ce06073","observation_id":"bbcbe15b-faaa-4373-a4f0-98c6e1fa0b0f","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:d8a0c75b7d08890fc4cd1492bf85e2bea81354a372db9aff505e0f37d075d9b4","observation_id":"43942429-dfdb-4fe4-8502-2fdb15fe5567","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.04527","last_updated":"2019-03-11T18:28:58Z","snapshot_observed_at":"2026-08-14T17:04:02.564758Z","submitted_at":"2019-03-11T18:28:58Z","title":"Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.04527","snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"cited_paper":"/paper/1903.04527","citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:e2c9c1fc6652d311199ee02ceda27757fe4ae2ac7a467c75ede0c52266e5ad48","observation_id":"e2997f17-2848-4555-b4b3-dffc13f04256","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","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":"2024.337658","doi":"10.1109/ojits.2024.3376583","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"IEEE Open Journal of Intelligent Transportation Systems","work_id":"836526b3-be74-48a1-92df-4477bc116c87","year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:bf7ea0bf5ac5287dbea65c69109d243a1a523f9cf1cb5701a9e91a1b26c25e1e","observation_id":"81c41fa8-8663-4969-8def-dfa3a89452ad","resolution":{"observed_at":"2026-07-12T00:38:26.133787Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:56.301895+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:56.301895+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:2e16f1ecbf8c5ecdf42fae5ff64eea1ac36b4dbfe319cdc02224f5bf4b5c7e47","observation_id":"0fb1fa26-89e1-4aa8-9021-bc49b937e808","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13639","last_updated":"2024-03-20T14:43:23Z","snapshot_observed_at":"2026-08-21T13:23:07.045713Z","submitted_at":"2024-03-20T14:43:23Z","title":"Multi-agent Reinforcement Traffic Signal Control based on Interpretable Influence Mechanism and Biased ReLU Approximation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.13639","snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"cited_paper":"/paper/2403.13639","citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:9953a5b689a197f6788c5b800762192cfa6b7c0aa335fc1185f3e5b152a0964f","observation_id":"64db2a15-2991-4daf-ae80-6c9b22e5588a","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","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":"10.1111/mice.70037","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Computer-Aided Civil and Infrastructure Engineering","work_id":"3f8d2a9c-7d7a-4d2d-8ad5-3ac2eba6d5e3","year":2025},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:09a8468b890f9a0142529d49bc24d46b2bd481b583c7222a4b3efcaef2c5b71f","observation_id":"895a965a-f056-4ba3-99a2-7a43fcdf0c9a","resolution":{"observed_at":"2026-07-12T00:38:26.151915Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-12T20:50:56.840343+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T20:50:56.840343+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.0473","last_updated":"2016-05-19T21:53:22Z","snapshot_observed_at":"2026-08-18T12:17:42.484599Z","submitted_at":"2014-09-01T16:33:02Z","title":"Neural Machine Translation by Jointly Learning to Align and Translate","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.0473","snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Bahdanau, K","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"cited_paper":"/paper/1409.0473","citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:0b02d9f3b3b5d89468468fb2a2cb0435f23a50a38577133505ab95e29e254036","observation_id":"ab824bb1-6e22-4f5a-838d-743ab905ef16","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:1d468447e1699861cc15962801e145a1d86bae28a1439b4ca70b8ba5d51f6acf","observation_id":"a15f796c-30d8-464c-b6a1-582508f371a8","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1607.06450","last_updated":"2016-07-21T19:57:52Z","snapshot_observed_at":"2026-08-15T04:53:45.483331Z","submitted_at":"2016-07-21T19:57:52Z","title":"Layer Normalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.06450","snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"cited_paper":"/paper/1607.06450","citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:6a1dd732d0c43c7177c31bca338c0f7d87467af369e15733aeee3e11a32c88bf","observation_id":"a7644351-aca0-4f88-ad30-289fbda46c28","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Vaswaniet al., ”Attention is all you need,” inAdvances in Neural Information Processing Systems (NeurIPS), 2017, pp","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:dac9ad250ed3f53ad82ab9e9b75506f449bc7d673061b78929b11bb4c0c2d55a","observation_id":"0c062408-5464-4938-beb4-78748fbe1b2e","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Dosovitskiyet al., ”An image is worth 16x16 words: Transformers for image recognition at scale,” arXiv preprint arXiv:2010.11929, 2020","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:e20a9fae8f8b80f9450b9adc149c4f5eb62e976709530af5e0340e45405c1c9a","observation_id":"642ad030-2b75-4798-9242-f272c40672f7","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Jumperet al., ”Highly accurate protein structure prediction with AlphaFold,”Nature, vol","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:98ef3dd0b5a161ca8cea0964e9681c380510a6704c8edf4ba712913ffd08b955","observation_id":"6cc3f122-2343-4e75-92bc-ccc6e50884be","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"McGibbonet al., ”From intuition to AI: evolution of small molecule representations in drug discovery,”Briefings in Bioinformatics, vol","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:2b41cbe0268e4efc3658b2575febcebb07be4e0f2ca0ad087fe6d1329eccd140","observation_id":"0a18dcdf-10cb-4abc-ab82-f54fa14fca7b","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:c4b09a65c2da2373ededb26e57563fb5d3feba42939cee9dea8f89a05dae773a","observation_id":"7008ff16-097e-40d7-bb99-7bf63f07f9d1","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Mullenbach, S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:7ce95c7716eeedffa080e2aa227eb45195505567d9d08fdf04719908feb146ae","observation_id":"3c094350-7994-486a-be22-fe8667a783a7","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Xuet al., ”Show, attend and tell: Neural image caption generation with visual attention,” inProceedings of the International Conference on Machine Learning (ICML), 2015, pp","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:52c4c7ddc2ce4838d7eb937120c6c1f5a78a2d5789708c46c3762060d2abbfe1","observation_id":"9cd020cf-3163-4676-91eb-38f04e300419","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:7c243b14f88833cdb9f8607278f6fa5b70d495a9039f3bd0901c3d76ed60dab7","observation_id":"9a277f31-0ef0-47f0-924e-0103a1c0d9e4","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-08-20T07:04:06.309989Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Schulman, F","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:32e0bcc219e6a3ecd8c9e7b31cbfd11b36c14ce4c85ee13b23dfe3830a22c527","observation_id":"a814f2fb-8037-4c48-82bb-5cf04773293d","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:5f9d9e4761d78fe84fc5953fd895ff2f77cc2fbfb69162681a58fbb8f2a96e45","observation_id":"a517757b-2c2b-4ab6-a8d4-1364b1260a00","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:bd8faf2055511a5229c08548ef64e0899667f1b4eac8f9945144c23c27fae7dc","observation_id":"6cbe7ba4-b645-4a89-ad9e-6a48585cb9f9","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T00:34:10.962930Z","title":"Kwesiga, A","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-12T00:34:10.962930Z"},"links":{"citing_paper":"/paper/2607.03703"},"observation_digest":"sha256:f42ed46a1701124f9a216327e0ada478c1359f51fb24cbe1c8765038e0554c6b","observation_id":"c5bcf048-1136-4985-bd2e-aea94b00dad9","resolution":{"observed_at":"2026-07-12T00:34:10.962930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.03703","last_updated":"2026-07-04T04:45:54Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-20T08:32:05.634036Z","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":29,"verified_exact":22,"verified_fuzzy":0},"total_outbound_references":53},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.03703."}