{"as_of":"2026-08-04T19:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3a6a11248796948fe162a1371b118c2657e8d622abbb4b44227067735cb9547e","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T19:17:12.219533Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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/2604.05663/citation-record","integrity":"/paper/2604.05663/integrity","json":"/paper/2604.05663/citation-record.json","paper":"/paper/2604.05663"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.24963/ijcai.2022/535","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi- agent reinforcement learning for traffic signal control through universal communication method","venue":null,"work_id":"e194ceb0-e6d2-42e0-bad4-075ef1dabf8d","year":2022},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:f01faf4fc5fdac9f77f42a82ef8d7f03341f1019ccea44e82bad5af2eba01b05","observation_id":"df9ae624-9725-4b68-b6f6-94144f76d7e3","resolution":{"observed_at":"2026-05-10T19:20:45.111258Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"π-light: Programmatic interpretable reinforcement learning for resource-limited traffic signal control","venue":null,"work_id":"f272b8b1-552f-41b7-a69c-8931490cab4a","year":2024},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:f8ddbb9264d87b85bb6401d3c3080470d027a7eb35fe39eb53939333db5c309a","observation_id":"c89ef06b-68b3-4a93-bd65-a75e27c27030","resolution":{"observed_at":"2026-05-16T06:32:28.451675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Decentralized signal control for multi-modal traffic network: A deep reinforcement learning approach","venue":null,"work_id":"bd3016b3-882a-4ef8-b100-86def26b9b93","year":2023},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:67baf3def2083a36b53c8358a11ea3ecb65e1869d9353b98831be27f14d24e72","observation_id":"d2d37a71-c13e-4560-a428-4fbcfae14115","resolution":{"observed_at":"2026-05-16T06:32:28.437975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Prompt to transfer: Sim-to-real transfer for traffic signal control with prompt learning","venue":null,"work_id":"12b16e35-d42a-4c78-9773-a5f4d412329a","year":2024},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:ffd741d3ed646eb3cf22da954066952eeb7c5d6d04bef1f047b6838692ba3deb","observation_id":"edee3aaa-a7e2-4a11-aa53-691243fcdda5","resolution":{"observed_at":"2026-05-16T06:32:28.446670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0624.370937","doi":"10.1145/3690624.3709379","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"LLMLight: Large language models as traffic signal control agents","venue":null,"work_id":"670146fb-24ea-456d-b374-dd8f6a638973","year":2025},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:5f80854602dd5f03ddc38e4f7cb3ad2d827caba556dcf0387e2f0d8e34300fc1","observation_id":"fbeb4a33-dcc4-4ef0-83af-a4e6c71ed7b6","resolution":{"observed_at":"2026-05-10T19:20:45.109092Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11739","last_updated":"2025-03-14T15:40:39Z","snapshot_observed_at":"2026-07-06T20:52:55.699004Z","submitted_at":"2025-03-14T15:40:39Z","title":"CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control","version":1},"cited_work":{"arxiv_id":"2503.11739","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.11739","snapshot_observed_at":"2026-07-01T13:35:46.005236Z","title":"Collmlight: Cooperative large language model agents for network-wide traffic signal control","venue":null,"work_id":"42326cdb-0b39-495d-a583-5694c6a85252","year":2025},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"cited_paper":"/paper/2503.11739","citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:2d301afdd3a47499022f6108f0f06fc4ae6429ba6b257780d2298e3f37597b3f","observation_id":"4f420a7d-2808-4779-b4b4-bec09ae713a8","resolution":{"observed_at":"2026-05-10T23:10:53.685155Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Encouraging divergent thinking in large language models through multi-agent debate","venue":null,"work_id":"854966ed-da29-4922-b9c2-ededb702f8cf","year":2024},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:556f5eff1202699ee8aac96b9ba48f5714b4967fde7344d5c8ab0d43229c8c34","observation_id":"5456d8e2-ee5e-4a89-a365-f06ac2fdf32b","resolution":{"observed_at":"2026-05-16T06:32:28.440078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Multi-llm debate: Framework, principals, and interventions","venue":null,"work_id":"0df65edf-fbd5-4d1e-8d29-0813077e3853","year":2024},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:a406b656a03d612ebc7afb24e5beea52f42c0112512e622d998729856eb96971","observation_id":"d2c0a466-3118-4809-849b-29539478ea99","resolution":{"observed_at":"2026-05-16T06:32:28.444300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Trust or escalate: LLM judges with provable guarantees for human agreement","venue":null,"work_id":"b2ad9fb1-d9fa-4c36-bd50-cd3bb98e2146","year":2025},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:367ab191e68277322f7441f0a07ac33c638bfb2acf269f0e3a730849506ecce1","observation_id":"0f66f5fc-a2c4-4911-aa51-8abd531362ee","resolution":{"observed_at":"2026-05-16T06:32:28.435664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Offline RL by reward- weighted fine-tuning for conversation optimization","venue":null,"work_id":"f5354fc1-cc05-4bf3-8133-45d8737aa7d0","year":2025},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:7e5c5ad5ba0a5ae90ab786ac5eeee857fd09cdfc80db66693a15b27762d3f170","observation_id":"76722c7d-1542-4c33-b43c-9f384dbef355","resolution":{"observed_at":"2026-05-16T06:32:28.449489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Traffic signal timing manual","venue":null,"work_id":"985c9cc4-7d50-4e25-a105-8a081637076c","year":2008},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:c06bcbef5dae202f9c12984d58580a9eab9bbde3e6e7e264dd328209cde39c32","observation_id":"ad7ed4a4-f46b-461a-8e17-cb28db7b403e","resolution":{"observed_at":"2026-05-16T06:32:28.433031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-06T02:11:52.478589Z","title":"Max pressure control of a network of signalized intersec- tions","venue":null,"work_id":"85fe269c-3118-456c-ab84-697e76593561","year":2013},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:0e73ca505197424f80f1b0954fa04dbbaffb2b464236a1c43fccd16ab872d850","observation_id":"6e4bba34-7c27-4bad-9b7c-68aa2a83a646","resolution":{"observed_at":"2026-05-16T06:32:28.430472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Presslight: Learning max pressure control to coordinate traffic signals in arterial network","venue":null,"work_id":"5f7e1048-2516-4b27-ae4d-311f1fc8bbf6","year":2019},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:47d0491ecf7336b4fda8aba2d02cdaa1904c3e2ae064a505f7a03c3221dcee21","observation_id":"62df4fea-07d9-4ed4-8d47-49879c1dfff4","resolution":{"observed_at":"2026-05-16T06:32:28.422731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control","venue":null,"work_id":"809c082c-e70d-42a5-b23c-2256b224cdbf","year":2020},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:59b5b954a491cccd692fff55eb2b3ec4abf20281c8bb6754019b764006832362","observation_id":"e0a227f0-ddd5-4e11-9013-13c2cbeae049","resolution":{"observed_at":"2026-05-16T06:32:28.442395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Colight: Learning network-level cooperation for traffic signal control","venue":null,"work_id":"be5d22f1-c3f3-495e-9f6b-268f5558a195","year":2019},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:47d5eed70d453fa74ede916820a8481dd6a32580cfbb4e30402c46996fd222c5","observation_id":"112d003c-63bb-4139-a4d1-e362a2c692dc","resolution":{"observed_at":"2026-05-16T06:32:28.419828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.02336","last_updated":"2021-12-04T13:49:58Z","snapshot_observed_at":"2026-07-06T12:15:20.950385Z","submitted_at":"2021-12-04T13:49:58Z","title":"Efficient Pressure: Improving efficiency for signalized intersections","version":1},"cited_work":{"arxiv_id":"2112.02336","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.02336","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efficient pressure: Improving efficiency for signalized intersections","venue":null,"work_id":"64829753-46b6-419f-94ed-ec9a70a536b5","year":2021},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"cited_paper":"/paper/2112.02336","citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:62ed5a69e505422ed884b648fffc07dda5dea8dd08596547267509ee04e02350","observation_id":"15ecb63e-bd02-44cc-a7f8-6500e23d124e","resolution":{"observed_at":"2026-05-10T23:10:53.694485Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control","venue":null,"work_id":"aa290544-c2cb-424c-bf1f-b4f1c0f6dd9b","year":2022},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:94eb6db1224d04a73120fb0b180ff2f0c8ca99629f68430242fdb623d406ecc6","observation_id":"9740bc4e-1820-4e35-a8e1-ae54e572a67b","resolution":{"observed_at":"2026-05-16T06:32:28.425419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Attendlight: Universal attention-based reinforcement learning model for traffic sig- nal control","venue":null,"work_id":"ff852482-d285-442c-880a-e6a900e242fc","year":2020},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:40e49fb6206e88f65227bebc2bbad570e6f1aad6f06a6ebd59dbab9a6707d558","observation_id":"48e38c94-cc1a-4b1c-a403-77c71a1c389f","resolution":{"observed_at":"2026-05-16T06:32:28.416839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Unitsa: A universal reinforcement learning framework for v2x traffic signal control","venue":null,"work_id":"e5c8beb5-b98d-45d7-bf21-2d8238d159ac","year":2024},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:eae2e4363dee76a56f7257caefa7b7072f624210af181f910b4ef48bde056df7","observation_id":"dedc4a83-8a69-4b00-8ebf-fb3ce14fb56e","resolution":{"observed_at":"2026-05-16T06:32:28.428090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2508.02344","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T07:33:13.316860Z","title":"Traffic-r1: Reinforced llms bring human-like reasoning to traffic signal control systems","venue":null,"work_id":"f5f65464-108c-4c68-b705-145db8a67e30","year":2025},"citing_paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:12.219533Z"},"links":{"citing_paper":"/paper/2604.05663"},"observation_digest":"sha256:98c2794892994e96757a8babf51e97a3ddbe9f28b87395b0274343d7b25825c7","observation_id":"d8536149-1d72-4081-b649-998f686070da","resolution":{"observed_at":"2026-05-10T23:10:53.703793Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.05663","last_updated":"2026-04-13T08:40:25Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:05:43Z","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":5,"verified_fuzzy":15},"total_outbound_references":20},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2604.05663."}