{"as_of":"2026-08-12T14:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:972667726906b4a08e0c35c62d819dbc5035ed0494c3674cfa58392717362b28","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:21:14.978547Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.11095/citation-record","integrity":"/paper/2412.11095/integrity","json":"/paper/2412.11095/citation-record.json","paper":"/paper/2412.11095"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.434749Z","title":"Christofa, K","venue":null,"work_id":"7ed11e2b-6562-4c5e-b660-f3f5378f1084","year":2016},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.861392Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:17260682223bad82351622c2cb225d4c03d2e652536cf9746fdbe7caf1b519f3","observation_id":"556a7ea0-a225-4392-9fd2-596a3e45e886","resolution":{"observed_at":"2026-08-11T15:21:15.438738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.421999Z","title":null,"venue":null,"work_id":"f276d214-3aae-4fff-a01d-06602e244f34","year":2002},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.866496Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:5a7856de723430370498ed428619f9b530fb2b10b69152c8b554500478a22e9d","observation_id":"c0015aa0-9f1f-4349-b3fc-e4cfc2da6396","resolution":{"observed_at":"2026-08-11T15:21:15.426100Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.408653Z","title":null,"venue":null,"work_id":"3dbc7f69-71a2-47fb-92cc-5aace4373cd8","year":1955},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.879542Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:06294967e281f22266bfa951ae3fee32a65c304e432afa03a15058a669877a83","observation_id":"8da73e20-1afd-4ae6-a962-edacbbeebecd","resolution":{"observed_at":"2026-08-11T15:21:15.413304Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.395346Z","title":null,"venue":null,"work_id":"a3368819-5e46-4cd1-9a2d-f707034494b2","year":1981},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.885168Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:f845386ec02f4ac2fa269f1bd807129529997ac10360a1dd3f32180690b010ec","observation_id":"f2dead7d-3088-443e-bb95-ec3cb0aae238","resolution":{"observed_at":"2026-08-11T15:21:15.400042Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.382659Z","title":"Liu and W","venue":null,"work_id":"059a65ff-6b54-4902-a93e-fe33abb31a83","year":2009},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.891087Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:f4ae2affa356d1a11e7e8155464b9ab77aa215f7a2f94361fb955caf50fc4d85","observation_id":"e4eef7cd-2dd2-4234-b778-8d3ec19e3f65","resolution":{"observed_at":"2026-08-11T15:21:15.387307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.367301Z","title":null,"venue":null,"work_id":"d0c23bd6-d6b3-4231-933d-47a6782441b3","year":2009},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.896120Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:a3dd90ad9e4b1df63a938602e7c93a59796465104673e413264c27a83b8cfbd9","observation_id":"8ab21069-3ca6-4a3d-bb98-8a0b962fdd7a","resolution":{"observed_at":"2026-08-11T15:21:15.372141Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.353700Z","title":null,"venue":null,"work_id":"68b8c4aa-ab84-46cd-a093-5ec374716c52","year":2012},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.903866Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:1f383ce740b656fbd35d7947d77ba15317960b281cb86ad11b5e4deb74917b2e","observation_id":"c26b9970-8988-425d-b57e-7cee17a2afde","resolution":{"observed_at":"2026-08-11T15:21:15.358491Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.331783Z","title":"Liu, M.-Y","venue":null,"work_id":"b3d8b610-7c44-469b-a1a3-7e31086b8f33","year":2016},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.911421Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:5be7f4f51540181883d927884ce050eb1aa812ac11073b07ac9e33f10ecfd347","observation_id":"b7caaded-90fb-4536-91b2-3c511d24be24","resolution":{"observed_at":"2026-08-11T15:21:15.337164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.315306Z","title":null,"venue":null,"work_id":"47ab5f21-e49a-4f2a-a7e8-757e5d598474","year":1993},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.919018Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:8f62ad81baa888ed5c261812139c8649948f20112824e0191339a7cff0ae063d","observation_id":"5cac8593-a054-4372-ab0b-1bc978ebb65e","resolution":{"observed_at":"2026-08-11T15:21:15.320998Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.298900Z","title":"Nguyen, C","venue":null,"work_id":"5a34f846-fae7-47d0-94be-00bab934aebe","year":2019},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.925281Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:0fa0cf022b1c166916736c2729d65d9994f6cbf0147b9e063793f1ee21964e67","observation_id":"bc0bad76-c810-4e48-995c-20a9cbabb3b8","resolution":{"observed_at":"2026-08-11T15:21:15.304407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.283903Z","title":null,"venue":null,"work_id":"dec0c1b7-dafc-495c-9c42-7b51d503a3db","year":2019},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.929737Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:cd1860544d224bb7baafdec9b50859c883aceab39e59bac06468e7761e937635","observation_id":"ab67ed48-0d7c-463d-9779-d4e707a8d2a2","resolution":{"observed_at":"2026-08-11T15:21:15.289425Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.270420Z","title":null,"venue":null,"work_id":"274e5558-158c-4320-bd5c-cec757a30d59","year":2018},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.938413Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:4755425ca569db813be4686c66e9c4638198485be3a01ea580eb65c0e59791e2","observation_id":"5ce04c62-ceaa-4643-9dd2-2e1ea7f7f3cc","resolution":{"observed_at":"2026-08-11T15:21:15.275158Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.252646Z","title":"Stamatiadis and N","venue":null,"work_id":"24cb5cb1-633a-4f38-a032-b12cc6d49ca1","year":1996},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.944955Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:36f98959f750728e66131fab488d754710b0016b82aac0270f8bad0dae437359","observation_id":"024ab393-5d4a-4991-b805-980f98808213","resolution":{"observed_at":"2026-08-11T15:21:15.258092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.236069Z","title":null,"venue":null,"work_id":"232bf719-d74f-4b83-8206-490ecd1dd2e3","year":2002},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.951537Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:4f5a3c0cb2071b1994bf84b0ccfe509c0d3b9ef2e2e64eda888c2ec76501f63b","observation_id":"556c6096-20ce-48ea-8e25-ba75e9957648","resolution":{"observed_at":"2026-08-11T15:21:15.240343Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.07962","last_updated":"2020-02-19T02:05:37Z","snapshot_observed_at":"2026-08-07T16:55:19.222155Z","submitted_at":"2020-02-19T02:05:37Z","title":"Inductive Representation Learning on Temporal Graphs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.07962","snapshot_observed_at":"2026-08-11T15:21:14.956984Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.956984Z"},"links":{"cited_paper":"/paper/2002.07962","citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:8b87bdabacb363f00cb4392ec3d4a4ac121da2ba708d3b198888cb20260bf9c0","observation_id":"eff6ad7f-a429-49c3-a678-e61ac7e25e27","resolution":{"observed_at":"2026-08-11T15:21:14.956984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.223349Z","title":null,"venue":null,"work_id":"dac74583-a769-4467-8434-6e69420cc82e","year":2018},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.962789Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:c0e9f732d6040b64ae2fde891d3ff43e7f06e38c49c4ffeed9cdc293d0930a18","observation_id":"7d5d8923-b6fa-41dc-81b8-da0f48533b23","resolution":{"observed_at":"2026-08-11T15:21:15.227816Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07446","last_updated":"2024-05-02T00:39:01Z","snapshot_observed_at":"2026-08-12T13:29:33.460579Z","submitted_at":"2024-04-11T03:02:06Z","title":"Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation","version":2},"cited_work":{"arxiv_id":"2404.07446","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.07446","snapshot_observed_at":"2026-08-11T15:21:15.160504Z","title":"Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation","venue":"cs.LG","work_id":"4a7bc1a4-8e19-4902-b3ea-6bcfec503ed4","year":2024},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.967245Z"},"links":{"cited_paper":"/paper/2404.07446","citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:8d830b7a91d82e9bab72779a6d84307addba828fa7c32f553899723f8ff1a1ec","observation_id":"bbc57785-94c7-45f6-a0d5-fa22560ba40f","resolution":{"observed_at":"2026-08-11T15:21:15.170123Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.209413Z","title":"Yousefzadeh, M","venue":null,"work_id":"37fc3be2-3bfd-4b81-991e-3029da48e857","year":2023},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.973606Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:836f712596ea520e4ec88ffb4005a590b17410562f2e01cc5177c2e299fa8a71","observation_id":"f98692ca-1c6f-4111-8eac-6b5e3c58bf23","resolution":{"observed_at":"2026-08-11T15:21:15.213931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:21:15.194189Z","title":"Zou, S.-K","venue":null,"work_id":"887aaea9-5cf6-4249-8fe0-b92e9f0b6767","year":2004},"citing_paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T15:21:14.978547Z"},"links":{"citing_paper":"/paper/2412.11095"},"observation_digest":"sha256:c5534b0ddd215bf2f58b3f7391d0133dd9a46dbb93cdc155d479623af237a233","observation_id":"c0113801-1453-4801-9bec-c54a552b0732","resolution":{"observed_at":"2026-08-11T15:21:15.199084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.11095","last_updated":"2024-12-15T07:30:01Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T15:15:58.357194Z","submitted_at":"2024-12-15T07:30:01Z","title":"Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":7},"total_outbound_references":19},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2412.11095."}