{"as_of":"2026-08-23T14:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a43e860ce2edb6bff797b7ac25ed3c016c429ab6a559804f033d40aedca37159","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-10T21:39:45.646371Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2607.06771/citation-record","integrity":"/paper/2607.06771/integrity","json":"/paper/2607.06771/citation-record.json","paper":"/paper/2607.06771"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T21:47:38.475982Z","title":null,"venue":null,"work_id":"2ecf6c83-da56-42cc-a04f-166d8a0a4d53","year":2015},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:7e07326eed37075bf7948902b2ff5517f9da80bfd94db450a210f311ea46dc99","observation_id":"fe919ad3-52a7-48ec-8a1f-fef96b145758","resolution":{"observed_at":"2026-07-10T21:47:38.489468Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.04143","last_updated":"2024-05-03T15:00:50Z","snapshot_observed_at":"2026-08-14T22:23:10.894196Z","submitted_at":"2015-11-13T02:34:33Z","title":"Deep Reinforcement Learning in Parameterized Action Space","version":5},"cited_work":{"arxiv_id":"1511.04143","doi":null,"metadata_source":"pith","pith_arxiv_id":"1511.04143","snapshot_observed_at":"2026-07-10T21:47:36.506263Z","title":"Deep Reinforcement Learning in Parameterized Action Space","venue":"cs.AI","work_id":"37101041-93a9-4cfc-b1d7-391ffbeec9f4","year":2015},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"cited_paper":"/paper/1511.04143","citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:7636c128aee82ce01f4ab8579052ff1e3dfa0be9acef3896254ec4d56a70855a","observation_id":"3cf8e4e4-6058-490a-bd89-2f555a4c812f","resolution":{"observed_at":"2026-07-10T21:47:36.521773Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-07-10T21:47:38.488708Z","title":null,"venue":null,"work_id":"e58edc31-fc55-4961-b360-5cd3604bbbe3","year":2018},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:a6db3fd2fd7f424bf700c1bff9c58f20641d834492fa1033130de3678757aaa2","observation_id":"c5798f55-f4a1-4c45-a9b6-70c8e93cfe59","resolution":{"observed_at":"2026-07-10T21:47:38.501501Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-07-10T21:47:38.524158Z","title":null,"venue":null,"work_id":"d320de9d-62f5-4aed-b8e5-c4667436542f","year":2021},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:9f6695c905798e3f251eaceb02613220e2ccf6d15b7afe0b88e2ab76de503779","observation_id":"8d3018dc-b30e-4fbd-816a-3fa8bebbaa5a","resolution":{"observed_at":"2026-07-10T21:47:38.538240Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-07-10T21:47:38.505667Z","title":null,"venue":null,"work_id":"2c448f32-5f1f-4edf-aefa-3dcd4ac17da5","year":2019},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:a4036d8f12dcca1e1a9469dfa3f8142e5153d113776cbc3eaf68e59f8e08caa7","observation_id":"61890f62-6ecd-44f2-a033-5b798382da81","resolution":{"observed_at":"2026-07-10T21:47:38.522170Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-07-10T21:47:38.461051Z","title":null,"venue":null,"work_id":"da5e2f4e-6fa3-4886-b0a7-91b8e0dbc3f4","year":2017},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:247b3a9694a03ed3c56549e93a6dd26388bb1d6f3adaba23d991aa0f96ad6307","observation_id":"3f280f4f-4475-4662-84b6-7954a87c50e0","resolution":{"observed_at":"2026-07-10T21:47:38.473976Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02612","last_updated":"2024-01-17T03:15:15Z","snapshot_observed_at":"2026-08-16T16:26:33.500436Z","submitted_at":"2022-10-06T00:22:02Z","title":"Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2210.02612","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.02612","snapshot_observed_at":"2026-07-10T21:47:36.484476Z","title":"Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning","venue":"eess.SY","work_id":"f3fa4f24-fc40-4ed1-a02d-506e0ce55938","year":2022},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"cited_paper":"/paper/2210.02612","citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:70354070897b4509ebeec9914793337a8109ecc34c0f0bc535d5deec7f789c78","observation_id":"b721d40d-cf48-4811-8ad5-44e6852b18c1","resolution":{"observed_at":"2026-07-10T21:47:36.502423Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-07-10T21:47:38.591147Z","title":"Computer-Aided Civil and Infrastructure Engineering 37, 2033–2051","venue":null,"work_id":"04e848f4-d0ff-4a2f-b0ea-47317454cc04","year":2033},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:0436ce7b6d3d0e1f9a95c4718d7ddfb74b1f1f3adaf82a60ec2faf40e11fb2f6","observation_id":"1bf8cf7a-fb85-480c-a1f8-426c5da20b99","resolution":{"observed_at":"2026-07-10T21:47:38.605488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-07-10T21:47:38.556277Z","title":null,"venue":null,"work_id":"94201c27-0ab1-4c19-ba8c-39e40d19dc3d","year":2018},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:3f63df29b757ae8f9aa63a57c856c9da0a28d215b2db189b298ff17fd1568bc6","observation_id":"6b42da04-7c07-4164-a0d7-44c55ae80f81","resolution":{"observed_at":"2026-07-10T21:47:38.571472Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.06394","last_updated":"2018-10-10T07:38:44Z","snapshot_observed_at":"2026-08-22T01:36:16.287925Z","submitted_at":"2018-10-10T07:38:44Z","title":"Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space","version":1},"cited_work":{"arxiv_id":"1810.06394","doi":"10.48550/arxiv.1810.06394","metadata_source":"pith","pith_arxiv_id":"1810.06394","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space","venue":"cs.LG","work_id":"27093fc9-5d4a-4cac-8643-04be8ff89b89","year":2018},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"cited_paper":"/paper/1810.06394","citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:f06285fa7249417c0d811a3b32508e790c6f698407aada1bb00ffbc2206973a8","observation_id":"1077ed42-efb6-46d7-8ee1-5cfe79c7833e","resolution":{"observed_at":"2026-07-10T21:47:36.542576Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-07-10T21:47:38.540104Z","title":null,"venue":null,"work_id":"d3f0e305-3dde-43c2-876f-46748343a761","year":2020},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:a61240ecc44fcbab9690d0634d40371f5def0df9f3dab53c74d6332cd98e6be7","observation_id":"fae5e1b9-d2b8-4a28-9149-84b03657276a","resolution":{"observed_at":"2026-07-10T21:47:38.554390Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-07-10T21:47:38.573608Z","title":"IEEE Transactions on Intelligent Transportation Systems 21, 2339–2349","venue":null,"work_id":"f4493b48-f518-411f-88b8-440f1eee0d64","year":2019},"citing_paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-10T21:39:45.646371Z"},"links":{"citing_paper":"/paper/2607.06771"},"observation_digest":"sha256:41a6334f32c917e9f4977c07f580bb3204874b9a7e5f8c309e3d3a45d5f097e2","observation_id":"a7aedd47-86b7-420b-aea9-fc05072ed0b4","resolution":{"observed_at":"2026-07-10T21:47:38.589209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.06771","last_updated":"2026-07-07T20:05:12Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-20T00:59:45.930037Z","submitted_at":"2026-07-07T20:05:12Z","title":"Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":12},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.06771."}