{"as_of":"2026-08-14T00:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36ab386d4e4f83c2b359e4cf6b865247d26baee5071560e7b13c2085be44915b","coverage":[{"denominator":69,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":69,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T16:35:06.462606Z","state":"measured"},{"denominator":70,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":70,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T20:11:31.178430Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09972","snapshot_observed_at":"2026-08-03T20:11:31.178430Z","title":"Efficient large-scale traffic forecasting with trans- formers: A spatial data management perspective.arXiv preprint arXiv:2412.09972,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.07854","last_updated":"2026-06-29T03:12:06Z","snapshot_observed_at":"2026-08-09T20:36:55.612362Z","submitted_at":"2025-11-26T07:16:47Z","title":"HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-03T20:11:31.178430Z"},"links":{"cited_paper":"/paper/2412.09972","citing_paper":"/paper/2512.07854"},"observation_digest":"sha256:226595da6e2974906d24a192ba3db2e979f7c3292c2ac4cd50efbc99962f88d9","observation_id":"6e8a5a95-c6aa-42a7-bb62-f36e6eae8ade","resolution":{"observed_at":"2026-08-03T20:11:31.178430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.09972/citation-record","integrity":"/paper/2412.09972/integrity","json":"/paper/2412.09972/citation-record.json","paper":"/paper/2412.09972"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:35:07.635900Z","title":null,"venue":null,"work_id":"1c9626c9-4668-470b-b593-277dd2033bdc","year":2020},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.126453Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:2ecd652237e05ab8e9663775ea87125481241540c08d9e777f81a816bb9d7719","observation_id":"a3177cee-b305-494e-9df9-b89925f63ca3","resolution":{"observed_at":"2026-08-11T16:35:07.640372Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.620913Z","title":null,"venue":null,"work_id":"1907cd05-792d-4ac5-8155-11e6ce942cfc","year":2009},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.131890Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:a131038c0bf169fe060d0e00bb9569b9349a14aa0b56499bc6a16fba30220402","observation_id":"672b76e1-b829-4bea-acae-01280838afb8","resolution":{"observed_at":"2026-08-11T16:35:07.625420Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.604464Z","title":null,"venue":null,"work_id":"32eca72b-80b0-460d-a667-24824ddda43e","year":2022},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.136490Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:ac1270f5417fe6baac676258c63a027c8b7dbf720c67279d73cec4a69e75f371","observation_id":"49489a37-741b-4e63-8a31-82ad89a7e7b6","resolution":{"observed_at":"2026-08-11T16:35:07.609955Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.586641Z","title":null,"venue":null,"work_id":"9ed99ca1-2d62-4c62-9be6-fa6f1e517c21","year":2021},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.141551Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:db3a2b2a523d2d311ef598c38253556b791ace645371152f465571100227d939","observation_id":"551a24cd-32c2-448f-9b55-4a2863dcff44","resolution":{"observed_at":"2026-08-11T16:35:07.591836Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.570329Z","title":null,"venue":null,"work_id":"7d4c5db7-96a8-48cc-bd56-401094a766be","year":2008},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.146580Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:28ed7ab210a8c25f2867353ebc6f3d2bc446ab4c00953d521faef61c5d4c6fa5","observation_id":"90a8ccac-b317-404d-8d08-9f0327055eaa","resolution":{"observed_at":"2026-08-11T16:35:07.575324Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03038","last_updated":"2024-12-04T05:19:34Z","snapshot_observed_at":"2026-08-11T22:47:32.034884Z","submitted_at":"2024-12-04T05:19:34Z","title":"MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.03038","snapshot_observed_at":"2026-08-11T16:35:06.151682Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.151682Z"},"links":{"cited_paper":"/paper/2412.03038","citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:d7612b4666078b0daf6649ac7e28ffd8b66c6b7fcc255d2a755f4553570c4ad5","observation_id":"afa748b1-f2a4-41d8-98de-d3f3f8eb3736","resolution":{"observed_at":"2026-08-11T16:35:06.151682Z","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":"2026-08-11T16:35:07.554158Z","title":null,"venue":null,"work_id":"1014c01d-3908-4061-8907-006cb89ee614","year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.157270Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:891aec91fd230856e1c7ccede6c0b80932d1574065db85076fd7c55b42955b3a","observation_id":"5fc52c12-72f2-4146-b5f5-27556ec14052","resolution":{"observed_at":"2026-08-11T16:35:07.559174Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.538430Z","title":null,"venue":null,"work_id":"fdc35a00-c5e1-4103-9671-1af511698db1","year":2020},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.161951Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:14b4a769ad4523d23f8f00c130d788b7752d4e0cb8751211db190276519d78d4","observation_id":"dabf792c-5a0a-4607-a53b-70fd38f4851e","resolution":{"observed_at":"2026-08-11T16:35:07.542997Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.521821Z","title":null,"venue":null,"work_id":"8bcae7d5-a726-40b5-aa73-beab68ab9855","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.167105Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:5369700bce22e616901fcc295e8558ce60db9a6df6815345790e403db3e80abd","observation_id":"65e72374-feb4-47db-bc02-1b3c33529dc1","resolution":{"observed_at":"2026-08-11T16:35:07.526622Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.505844Z","title":null,"venue":null,"work_id":"87a3262c-1b8c-4de3-8fb9-ffbb24f17f10","year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.171935Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:9d98a620a3cd4814c78509995b3201ce7a1cc29b40c08e7f4e6fd647101f812d","observation_id":"be299f08-58fd-40ef-a51d-ea86d20af07d","resolution":{"observed_at":"2026-08-11T16:35:07.510656Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.488758Z","title":null,"venue":null,"work_id":"32b9ac52-40f3-4c9e-b2e9-0f8b7bc9cd11","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.176512Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:68ffe70ddbdfa7a3ab92cf8f720ca450642bcb712f2c6b1a192abd46c4c7a4fa","observation_id":"3a5298e7-662c-4a0b-80f1-fee4e23ae677","resolution":{"observed_at":"2026-08-11T16:35:07.494101Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.473116Z","title":null,"venue":null,"work_id":"aa96ae4f-02e6-4c5f-8b62-9d771af67095","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.181314Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:9d61efc031a8ca5c693834205bb65e5741593dbe6d92942cd49cb2c368e979d6","observation_id":"464c607b-fa3f-451d-a987-69091cfbf0c3","resolution":{"observed_at":"2026-08-11T16:35:07.477746Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.456072Z","title":null,"venue":null,"work_id":"5ad567d9-af30-4ce1-93df-fb8312a7ed8c","year":2022},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.186782Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:cb7c8409145f4236d7eb14186dbd9deb68f92354566e784983377186606419a0","observation_id":"a642d0c2-4969-4ae6-b8c2-e375bbf21257","resolution":{"observed_at":"2026-08-11T16:35:07.460939Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.439998Z","title":null,"venue":null,"work_id":"8ad8710d-634c-451e-8bf7-a03767320965","year":2021},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.191710Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:2dfe59496748e3def2bb8e6e1b387b38c1fde9c18b251be1d113f07023076b71","observation_id":"d9bebf92-0d15-41ae-9691-242f21e0c7dd","resolution":{"observed_at":"2026-08-11T16:35:07.444582Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.422841Z","title":null,"venue":null,"work_id":"de91f19d-e67d-4827-9d02-aee5ee7689f9","year":2022},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.196494Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:67289f793a982e10479f58da3ad9a0f6f2da5fff61b35296f2b3bae26514fc21","observation_id":"441f39ff-c66e-40e2-b553-e41437398a07","resolution":{"observed_at":"2026-08-11T16:35:07.428648Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.404985Z","title":null,"venue":null,"work_id":"5ec09008-ffb4-41ef-a7f4-a136e33bda59","year":2021},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.201289Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:01e1c8797099bfbebfeee8990cf52d2f1f40d6fc2fc3599b766d51bcc8b08e5c","observation_id":"786036a8-7784-4762-9da5-eb594049da1e","resolution":{"observed_at":"2026-08-11T16:35:07.410183Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.388353Z","title":null,"venue":null,"work_id":"fe51d4bc-1268-4b32-9505-6211a95276c7","year":2019},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.205992Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:8eddd13bf5f2e029e27161059259d8e75ac438469948faf4f93c5937a5308c5c","observation_id":"39caf0dd-dad9-46df-a65c-54f8060b0c22","resolution":{"observed_at":"2026-08-11T16:35:07.393293Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.370834Z","title":null,"venue":null,"work_id":"61e88ea6-0d3e-4050-952e-6274d662271e","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.210837Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:32089f7ad0c334a7977de915f299aad383272fe7aacd3d3744eb9f05549239a9","observation_id":"c926fe39-fc91-4cfd-8b98-1708271baa4c","resolution":{"observed_at":"2026-08-11T16:35:07.376026Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.354114Z","title":null,"venue":null,"work_id":"7e38b3f9-82e2-4c69-beb9-5fdc5ef9435e","year":1984},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.215698Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:c6066a45ad4bbb228369d040deba2e6b58d47d1a236693582ebb126e3999c3df","observation_id":"e2677b57-9e23-4740-a805-a9e0c3e168d2","resolution":{"observed_at":"2026-08-11T16:35:07.359084Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.337348Z","title":null,"venue":null,"work_id":"36f9d181-2eca-41a5-ad49-85cfb17f438e","year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.220437Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:7603f4c3951c4ab2e142cc7d1f9474f1fd1ce8c27975bb122ee66ff4dd1a2985","observation_id":"47bb35df-e8bc-4076-9cee-9f9f014b4237","resolution":{"observed_at":"2026-08-11T16:35:07.342644Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:35:06.225477Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.225477Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:cfadc7377bf4430df81154bf2c19d325bf2c00250be3c298380a1aa0fc051868","observation_id":"c34364ad-ffa8-41ae-bc89-fd47faba657d","resolution":{"observed_at":"2026-08-11T16:35:06.225477Z","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":"2026-08-11T16:35:07.289892Z","title":null,"venue":null,"work_id":"f3ab3e10-962a-45d8-a215-be576f376024","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.235113Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:8949978196172937d226dffc9400aded9cb90464949bc79ee1ab70aa6cba79af","observation_id":"ff5906e1-f750-4cad-8b39-92eca7e32098","resolution":{"observed_at":"2026-08-11T16:35:07.294580Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.272597Z","title":null,"venue":null,"work_id":"4e76b353-37ea-48e7-9741-f00f2678eedc","year":2021},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.239963Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:bce0bef68d79df5c76958ce90dfdc9f9293c6628c2255dce1057b3160df4b680","observation_id":"e716f39f-0388-475e-955c-1ebab44aa2c2","resolution":{"observed_at":"2026-08-11T16:35:07.277453Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.252955Z","title":null,"venue":null,"work_id":"8a5bf9d1-d5f1-4a92-b14c-6524a00c7973","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.244918Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:b09b3b41a419d923aafb55e4214f46e9de7ce8b6a9502f0fe25bb66960f47ead","observation_id":"434cd4fa-7c54-4cf6-9468-8175df0a1d77","resolution":{"observed_at":"2026-08-11T16:35:07.258111Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23855","last_updated":"2024-12-07T10:34:41Z","snapshot_observed_at":"2026-08-12T22:10:54.768579Z","submitted_at":"2024-10-31T12:05:21Z","title":"RAGraph: A General Retrieval-Augmented Graph Learning Framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23855","snapshot_observed_at":"2026-08-11T16:35:06.249897Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.249897Z"},"links":{"cited_paper":"/paper/2410.23855","citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:250900317c133084b96f89a044dcf88eadb43e9f5e238f5231b84c477293a8f3","observation_id":"f5ad3bca-10e7-4813-b413-02f86735734c","resolution":{"observed_at":"2026-08-11T16:35:06.249897Z","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":"2026-08-11T16:35:07.235460Z","title":null,"venue":null,"work_id":"d6600ea3-774d-400a-ad8b-dd7caadb30d9","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.255059Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:c4d622990f9f0dd20afb0410997f33f47d1089e025dcdc70fb6c7d5c4a1aff9a","observation_id":"8f894f39-1400-4aec-afde-ca22b68917ba","resolution":{"observed_at":"2026-08-11T16:35:07.240510Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:35:06.259721Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.259721Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:bb49a07dd23372b4859937a176766c3bece729b3ddbfb79b202ebfff5b5f2646","observation_id":"4dee9b46-ffa9-443a-bb97-05402945500e","resolution":{"observed_at":"2026-08-11T16:35:06.259721Z","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":"2026-08-11T16:35:07.202464Z","title":null,"venue":null,"work_id":"ad102e1f-a3d4-409a-b444-dfa76d0353e0","year":2015},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.264867Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:ee350ed6d8c362e51ba1941e2656a2e684c813c7afed9d83562da986b09e62da","observation_id":"129ba01e-4a7a-4cbb-8910-df1d3660d6c1","resolution":{"observed_at":"2026-08-11T16:35:07.208438Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.16044","last_updated":"2024-12-17T12:41:13Z","snapshot_observed_at":"2026-08-13T04:53:51.232029Z","submitted_at":"2023-12-26T13:17:06Z","title":"LLMLight: Large Language Models as Traffic Signal Control Agents","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.16044","snapshot_observed_at":"2026-08-11T16:35:06.269871Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.269871Z"},"links":{"cited_paper":"/paper/2312.16044","citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:06163385ae7f556de19cf36db50615c595902aacea230347c47d5dc1a37c6e56","observation_id":"84b1ff7c-cf97-4496-9461-56bd321d95f5","resolution":{"observed_at":"2026-08-11T16:35:06.269871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:35:06.274894Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.274894Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:5807774259ed7dcf2ac26feba24c961c2603d2fd901ccb7ab5844a997e7545e0","observation_id":"30ccdef7-738b-44fc-a8e2-175e5ae7f721","resolution":{"observed_at":"2026-08-11T16:35:06.274894Z","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":"2026-08-11T16:35:07.151269Z","title":null,"venue":null,"work_id":"6d0d5d4a-ef51-463a-aeaf-7aa53d5747e9","year":2022},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.284655Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:79031ebb8d6bb48aea6ca82184f2caae3c303690991fa3dcb29fa8c5641029dc","observation_id":"82b07b5f-9c7b-4451-a737-a77f4b0ff95b","resolution":{"observed_at":"2026-08-11T16:35:07.156452Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.134249Z","title":null,"venue":null,"work_id":"59e6b905-5031-40ed-b42e-921ebfba16ea","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.289177Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:28a0f70003d5804a083663a2382974f06ac9eceb7878a0c1e642791ec7bfc572","observation_id":"855974e7-bade-4139-b456-56d29f30a534","resolution":{"observed_at":"2026-08-11T16:35:07.138816Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:35:06.293460Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.293460Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:3248807c8e9353185829cf767f1a699390a425bd6dbefe1ad48a41e6a2395b24","observation_id":"1902d85c-4d89-4409-b153-778e9256aa45","resolution":{"observed_at":"2026-08-11T16:35:06.293460Z","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":"2026-08-11T16:35:07.089849Z","title":null,"venue":null,"work_id":"bd216876-373c-47fe-81e8-ef048a772ad0","year":2018},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.302872Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:bb1de49d73b1f8f200920f6b72ba4043a2db23dd712f7d495bfdbb4bbe01f3a9","observation_id":"b69eb19f-6236-4d21-a337-1398a2fe498f","resolution":{"observed_at":"2026-08-11T16:35:07.095338Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.072547Z","title":null,"venue":null,"work_id":"0a82a227-593e-4bea-8d17-db2c088a1a49","year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.307441Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:9a3ac0b568ec31fc6270c5387e93899eb8c6bb7e1d0a1eb933fa0050e2888d52","observation_id":"adc8465f-0bb4-4e23-b7fe-0ee019cc3f0c","resolution":{"observed_at":"2026-08-11T16:35:07.077656Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.055551Z","title":null,"venue":null,"work_id":"25f41c18-6571-436a-b675-14a25dac8784","year":2021},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.311717Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:ee7889803cf69e3476659543acd13383c1efb148477d1f3f8aa6c3d5e5a6833b","observation_id":"81c455e3-e35b-46c7-956e-251a0136d346","resolution":{"observed_at":"2026-08-11T16:35:07.060999Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.036989Z","title":null,"venue":null,"work_id":"f5fbd6d8-e6ba-40a2-8a89-a8333292dc17","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.316054Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:21b87fcc562f474b610e31b4d2b5060d3f55cb7a4187f05408b4165fa2268473","observation_id":"f49e91d2-2633-48a1-b4ed-3de7f34cb55a","resolution":{"observed_at":"2026-08-11T16:35:07.043090Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.018534Z","title":null,"venue":null,"work_id":"2401db05-5bac-4787-9f61-4a21053d8cc6","year":2022},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.320379Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:480d78b29c07006e6fdfffbd120ccfe1dabc93b42898190291725422c75070cd","observation_id":"9ad0351c-ebd7-4bc4-8e10-48e2f194fa8b","resolution":{"observed_at":"2026-08-11T16:35:07.024259Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.000681Z","title":null,"venue":null,"work_id":"1878b048-16fc-4a82-b9d6-b6dd72c120fd","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.324764Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:20e83a7b0608ffd7dc863783ab4291da94eef84dae1e9dc3b82f44a0e52bb6e7","observation_id":"c3dc3f26-0a95-4322-b22f-7afe85d9c81a","resolution":{"observed_at":"2026-08-11T16:35:07.005847Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.984213Z","title":null,"venue":null,"work_id":"82b2a25e-3065-47f9-81c2-9f1dc4b8f200","year":2022},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.329478Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:420f3d9e07fe736ac5377ac10bd5016baa33dcc31d0880ee216c9ade1684ebf2","observation_id":"fcc6c300-ed5a-4764-8cf2-2f4545c74833","resolution":{"observed_at":"2026-08-11T16:35:06.989656Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.969263Z","title":null,"venue":null,"work_id":"72fbafbc-40a5-42f5-a7eb-f5554d38e619","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.333918Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:4fc5cfb4679b0bce51a0ece5c38bbbe6d897e14617f7ae98d3d9c3b06e87a212","observation_id":"1d1a5976-af8f-478d-b6c3-4d532b60b0ec","resolution":{"observed_at":"2026-08-11T16:35:06.973660Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.954885Z","title":null,"venue":null,"work_id":"e43a5557-359c-4908-a1b2-304fefc9c3b0","year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.338389Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:40e91465b039020e9dc875ae2ba23dec2049f79703f928918b8b9e2be7791ea1","observation_id":"0d24b32c-367c-4f22-8e96-05c039efda4b","resolution":{"observed_at":"2026-08-11T16:35:06.959282Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.940219Z","title":null,"venue":null,"work_id":"74af8fbc-5479-41b5-be2f-dd4ec32482d7","year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.342668Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:0bf0a0d8a2581018fe8b1bbb6fbe635f98c9cdb50a1ea65d93d25f079f0840b9","observation_id":"092ee0bf-df8a-44cf-8306-6f4cce72dd78","resolution":{"observed_at":"2026-08-11T16:35:06.944684Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.924050Z","title":null,"venue":null,"work_id":"157526b4-4d55-4b94-be94-0666fb362364","year":2021},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.347472Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:45492e95f608f41c4803b000cce87ae87319d184f159a52623af46f6fae3d2ae","observation_id":"fa40172e-a0e4-4c2d-b561-6a3808727884","resolution":{"observed_at":"2026-08-11T16:35:06.929102Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17350","last_updated":"2024-02-09T05:44:54Z","snapshot_observed_at":"2026-08-13T04:30:55.172700Z","submitted_at":"2024-01-30T17:57:07Z","title":"Time Series Supplier Allocation via Deep Black-Litterman Model","version":2},"cited_work":{"arxiv_id":"2401.17350","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.17350","snapshot_observed_at":"2026-08-11T16:35:06.540575Z","title":"Time Series Supplier Allocation via Deep Black-Litterman Model","venue":"cs.LG","work_id":"2cc880a6-2d98-4166-a46a-f6361660e410","year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.352299Z"},"links":{"cited_paper":"/paper/2401.17350","citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:d209ee7f2af168fd75597483cda62b26ea0bd6886658e0034172462518caf9f3","observation_id":"3887f7a2-92f2-493e-84c7-3ff739dd2763","resolution":{"observed_at":"2026-08-11T16:35:06.547262Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.908175Z","title":null,"venue":null,"work_id":"3c329267-3d66-4edc-9468-22c0f8b5419b","year":2018},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.358012Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:f186a5649efa00e284fe6613f6f4a50495fef5d361d507147daeb58d09a7dad3","observation_id":"dae9ff44-e314-42b7-899d-241a52f04f7b","resolution":{"observed_at":"2026-08-11T16:35:06.913250Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.889006Z","title":null,"venue":null,"work_id":"39f1f667-6f13-4668-826b-19bd5c22898e","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.362850Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:fad64679ad5335aabad153aa76724c025d60ccfdc17f947b1b50774a4849bff0","observation_id":"9a11c72b-db0b-4b66-afce-e65d2a4a5cf3","resolution":{"observed_at":"2026-08-11T16:35:06.894920Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.871955Z","title":null,"venue":null,"work_id":"ed238d99-3f8f-468c-ba97-19447bb53adb","year":2022},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.368010Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:b3186f84c7dbab91ac4c5c3bfbd0bceedc5d3e6d3bd59c045f3f036d00a7edb9","observation_id":"de848e82-e1df-4fcf-8ec6-26ce86e9c9d4","resolution":{"observed_at":"2026-08-11T16:35:06.877717Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.855869Z","title":null,"venue":null,"work_id":"4b19e10a-6ed4-4f4f-9dfd-f41b16583e1a","year":2020},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.372780Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:df5cddc42385bc1d43acaff5f2705cc2bc366c43d21443f17f18eb8d0fec00be","observation_id":"c2759305-3112-4166-9d83-81796cc63c1e","resolution":{"observed_at":"2026-08-11T16:35:06.860738Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.841094Z","title":null,"venue":null,"work_id":"aa3d9234-9e92-4f28-a340-e1f461971a02","year":2022},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.377935Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:2e74bbd76ff745eda3c62a5786636b98e245f453b56f15e32cf5a04dda145fb0","observation_id":"3e528c13-0797-461a-a1c6-590565e2682b","resolution":{"observed_at":"2026-08-11T16:35:06.845358Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.826426Z","title":null,"venue":null,"work_id":"be107f15-0cc7-4013-b5df-14dbe40c4ff7","year":2022},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.382885Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:42d7d25812ab6558eb5f64e39060b4bc616a7da1eedf85ebd3bded866cea3cc0","observation_id":"0aa44f1f-3004-4b5a-b08e-cc318e93d93b","resolution":{"observed_at":"2026-08-11T16:35:06.830833Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.810839Z","title":null,"venue":null,"work_id":"012311d4-02b1-44f4-8559-d6ebe56d03a1","year":1991},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.387991Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:48ecf612ae19cb93e8a9efa5a434f488dc7aa7b5167599b32477ae608ad68e59","observation_id":"42b59b05-5c77-4c1a-ae54-ed8de783b3eb","resolution":{"observed_at":"2026-08-11T16:35:06.815953Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.794913Z","title":null,"venue":null,"work_id":"a60bccaf-2ab5-4eb5-84fa-cdbf4ac1ec01","year":null},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.392867Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:9c52339ed9fcf6236ab07c5ff3c766d81e6a33d905c3ee273dea8ba383e6af7b","observation_id":"62922d22-0565-4868-9741-3b29899e3ce6","resolution":{"observed_at":"2026-08-11T16:35:06.799892Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.764634Z","title":null,"venue":null,"work_id":"e062c4dc-2a5c-483f-b795-84f8cf79754c","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.402965Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:dfe6c51667ef51dc1e8dab51f04f00549229814bce4f4f6e9b7a260152a6ab9c","observation_id":"90e86eaf-2018-487d-853d-3c15832ac832","resolution":{"observed_at":"2026-08-11T16:35:06.769636Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.748548Z","title":null,"venue":null,"work_id":"ede67f08-4f5e-4de8-8779-27da1d42552d","year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.407934Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:c011bcaa437170ee0860a6b22e18ee0ee59827826983656f8878183afd2c5b77","observation_id":"e3d3263b-c283-4bf7-9799-425bd86a6bcb","resolution":{"observed_at":"2026-08-11T16:35:06.753601Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.732744Z","title":null,"venue":null,"work_id":"bf2f6449-b59b-4d6e-923a-124e064db7f0","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.412878Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:8e71bd97286903fe7af98232f6c9b5202e431210fdd631105a99deced83e61b4","observation_id":"d851600d-46dd-48a0-8c5a-369c58a98521","resolution":{"observed_at":"2026-08-11T16:35:06.737409Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.715893Z","title":null,"venue":null,"work_id":"5bdda29d-8368-4863-859c-873e7f5a1994","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.418062Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:1369f5de01962da18050ee5f379bac4ea862095221d79d802bd920789da090bc","observation_id":"cf3db332-d212-4666-9b86-b24977a851da","resolution":{"observed_at":"2026-08-11T16:35:06.720880Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.698889Z","title":null,"venue":null,"work_id":"d12ce7eb-143a-4ed9-be85-400d2ef0b461","year":2020},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.423077Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:6399a6ab2ef5afb02e9b5ed40d5084b1135fd4dfca4808738a73fcbe9fa1a412","observation_id":"b9272cfc-d45d-4db3-9f25-fceab20e8255","resolution":{"observed_at":"2026-08-11T16:35:06.704572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.680178Z","title":null,"venue":null,"work_id":"0d9885be-b961-4326-a6b3-bfa684a8abd5","year":2019},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.428319Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:3d0701f3ffeb0911bb729cceb80054b7a470d05906adb3d95bd7f542e6d10eda","observation_id":"0af332ae-abc6-48c6-a44e-e1d6837ee86c","resolution":{"observed_at":"2026-08-11T16:35:06.685827Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.661796Z","title":null,"venue":null,"work_id":"2d3b68ee-bd1c-4638-a4c9-9269bd71ce21","year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.433123Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:63c5051d624581bbd4e2dff834e0d75201b56932b0540dcecd8a3640d03aae19","observation_id":"cc4a003c-f6b2-4428-a7fa-40ac7a5d2b45","resolution":{"observed_at":"2026-08-11T16:35:06.666923Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.644519Z","title":null,"venue":null,"work_id":"21ca0290-a415-408d-bed1-b4d3f1fb0afd","year":2018},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.438499Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:4fa051fb9439f80258c1dc3148b4559f1b0d4e6eb5cec21f079910d06650418b","observation_id":"cfe69d9d-307a-4678-b58d-cd50e4d1e3e0","resolution":{"observed_at":"2026-08-11T16:35:06.649235Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01440","last_updated":"2024-09-20T05:27:29Z","snapshot_observed_at":"2026-08-13T04:28:21.199340Z","submitted_at":"2024-02-02T14:32:42Z","title":"A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01440","snapshot_observed_at":"2026-08-11T16:35:06.446004Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.446004Z"},"links":{"cited_paper":"/paper/2402.01440","citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:5ffdbff9fbc92c47eafd92e8465e59d181efd73393f9fe95d459b90c4ef16fc2","observation_id":"a3f98948-964f-4f54-8b35-7afc464489df","resolution":{"observed_at":"2026-08-11T16:35:06.446004Z","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":"2026-08-11T16:35:06.628767Z","title":null,"venue":null,"work_id":"d22dd6e5-b19c-40dd-be23-32cce57fed7c","year":2023},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.451881Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:a91629a205557067f3f73c679ffe466ccaf7ba82f15d7391c26208f778c7a867","observation_id":"071e1e7c-3399-4374-aefd-aef7245841b6","resolution":{"observed_at":"2026-08-11T16:35:06.633312Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13937","last_updated":"2025-03-03T05:10:46Z","snapshot_observed_at":"2026-08-13T00:01:53.654825Z","submitted_at":"2024-05-22T19:10:24Z","title":"Node-Time Conditional Prompt Learning In Dynamic Graphs","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13937","snapshot_observed_at":"2026-08-11T16:35:06.456744Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.456744Z"},"links":{"cited_paper":"/paper/2405.13937","citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:81a4f720aaa5bcda051331961121b188a1e5214a810d57698de0971a09ddd762","observation_id":"5521264d-b57a-46f5-9596-4d5c05ed7620","resolution":{"observed_at":"2026-08-11T16:35:06.456744Z","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":"2026-08-11T16:35:06.613030Z","title":null,"venue":null,"work_id":"d588f00e-b08c-4dd2-9fe9-5cc7f9080b8d","year":2020},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.462606Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:1fe17b34d3e4fc569171349ccdfe62e959cc7e3a853bdcf44833503f2daa4a6e","observation_id":"7dc6ebcd-b283-4b1d-a4aa-449f83c570d8","resolution":{"observed_at":"2026-08-11T16:35:06.617666Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.308349Z","title":"In Proceedings of SIGKDD","venue":null,"work_id":"76f2047d-6d16-42df-8f5a-e716b80e71fa","year":null},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.230314Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:61cf22efeba9311637fa2a54d774da89827536295d6a7b5fb463b3dc955575f3","observation_id":"f7837d83-b3b8-40bb-8adc-ff848322616d","resolution":{"observed_at":"2026-08-11T16:35:07.312993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.105711Z","title":"In Proceedings of SIGKDD","venue":null,"work_id":"04d15243-0e8e-44fe-9a48-2b78999c1973","year":null},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.297760Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:dd1527ed95cf803ea9df42bea8459b8e23d635087745c222524f8e225bf8e061","observation_id":"50e59abb-bc6a-40c5-a5ee-82376d761f91","resolution":{"observed_at":"2026-08-11T16:35:07.110426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:07.167473Z","title":"In Proceedings of SIGMOD","venue":null,"work_id":"ae3deebd-be1d-4f9a-9dc5-0b945c1438ed","year":null},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.279258Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:718b2506ec142f1f4f1c5ec55e2543abd2847b4ca650ffa33b2cacaabfcc91a9","observation_id":"6d0121c2-461c-42ca-96de-a902560ccf55","resolution":{"observed_at":"2026-08-11T16:35:07.177975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T16:35:06.780388Z","title":"In Proceedings of SIGKDD","venue":null,"work_id":"c6afa465-2bab-4e4a-9b3e-1254dddcc789","year":null},"citing_paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-11T16:35:06.397935Z"},"links":{"citing_paper":"/paper/2412.09972"},"observation_digest":"sha256:f48675c24cf0bbd38e304da80fe19066d1bc41647e34793283c78fa822d1f63d","observation_id":"62a11388-8ffe-4bf8-951c-eef4403af596","resolution":{"observed_at":"2026-08-11T16:35:06.785026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.09972","last_updated":"2024-12-31T03:52:09Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T02:55:24.999502Z","submitted_at":"2024-12-13T08:59:18Z","title":"Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective"},"reference_resolution":{"displayed":69,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":64,"verified_exact":1,"verified_fuzzy":4},"total_outbound_references":69},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2412.09972."}