{"as_of":"2026-08-07T15:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:567d0ec28756632779bfb913a03cb7e0f295c45dd528015fc2da3a41cdca852b","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:48:33.848826Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.16209/citation-record","integrity":"/paper/2506.16209/integrity","json":"/paper/2506.16209/citation-record.json","paper":"/paper/2506.16209"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:48:40.052396Z","title":"Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving","venue":null,"work_id":"094b5950-4f98-4343-a97e-4b33f1268f3f","year":2023},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.264742Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:29db36d40267130dbc542353043dbf6a1560350fb81a7ec879ebe24d063ebea0","observation_id":"af0b4f02-f7a3-4f95-8b70-12a05f11f4e7","resolution":{"observed_at":"2026-08-06T23:48:40.165094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:30.300908Z","title":"Social LSTM: Human Trajectory Prediction in Crowded Spaces","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.300908Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:93e118f4db097214a013cd328937c2b9ed6a75da50bb650146f1e79d96625f30","observation_id":"e157398e-8759-4426-bd99-b055293f63b9","resolution":{"observed_at":"2026-08-06T23:48:30.300908Z","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":"2026-08-06T23:48:30.382881Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.382881Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:7e8331f0ef2feb6975c3e45f0c58228395096a3a2430f528d52d0b182953d069","observation_id":"91cdc175-41f0-49a3-9ed0-9489907d4e3c","resolution":{"observed_at":"2026-08-06T23:48:30.382881Z","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":"2026-08-06T23:48:39.865213Z","title":"Machine Learning for Autonomous Vehicle’s Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions, July 2023","venue":null,"work_id":"30a82136-890e-4d68-a4f8-3a9346e38784","year":2023},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.464063Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:9ea91e935fef88fca27db3d687c9cfafb4742a34b272e0c08ae2d671c43d8f7a","observation_id":"037df6bd-fc34-4df1-8dd4-55416c92c6a0","resolution":{"observed_at":"2026-08-06T23:48:39.929504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:39.554881Z","title":"Generating Long Videos of Dynamic Scenes","venue":null,"work_id":"afd0edbb-5ff8-4a18-9fd5-51805345b94d","year":2022},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.506154Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:3b5d5a7da9657f9022200ae7020beaab8fd599e4b0cb68d89b40d19cc24393b1","observation_id":"98ba297b-8694-4d3b-a7be-208179b0e3b1","resolution":{"observed_at":"2026-08-06T23:48:39.715540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:39.333041Z","title":"MP3: A Unified Model To Map, Perceive, Predict and Plan","venue":null,"work_id":"e2b7c194-d9c5-4fbd-a0de-7187ad17aff0","year":2021},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.553664Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:91a5313f3e70d597d521aca2a8dfc48edc756842346283d774d20176e7f4383e","observation_id":"9b92d99c-eec9-4a8a-880a-141ce54d4eab","resolution":{"observed_at":"2026-08-06T23:48:39.435031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:39.140647Z","title":"Trajectory generation: A survey on methods and techniques","venue":null,"work_id":"e3e7b406-7877-48bc-927e-e244ee061e7d","year":2025},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.610133Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:9f5565aa87cd8295a2a35a72eda8b699a4c9c67a7f8ee4becf17edff40e0b656","observation_id":"c003333b-c099-41b7-b14e-d4f854782077","resolution":{"observed_at":"2026-08-06T23:48:39.240906Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:38.918324Z","title":"LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving","venue":null,"work_id":"17fd696b-39f9-4918-9041-aa97061ba31a","year":2021},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.669951Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:bc4edfb23420e3b810e55e761507428b8e899e13ab9199ba8e7a54e10f02b9a6","observation_id":"4b9f4c48-987d-4cc3-a565-6ca83cb4273a","resolution":{"observed_at":"2026-08-06T23:48:39.024034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:38.712309Z","title":"TPNet: Trajectory Pro- posal Network for Motion Prediction","venue":null,"work_id":"8c878362-6825-456a-b8be-5c2127bb114e","year":2020},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.727655Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:6e7a7818d3ae6776429f67316971fc7157c274a8337e3fd0e28d88554a0c64e6","observation_id":"e2854db5-c2ce-4ecb-9b9c-ce9633bf9b85","resolution":{"observed_at":"2026-08-06T23:48:38.821739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:30.822442Z","title":"HOME: Heatmap Output for future Motion Estimation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.822442Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:3b5b2fb8cee44658e3b12052fe3f7d86528b223831aff6bdbb381de2fde4bccc","observation_id":"e2da7c01-0c98-4ba3-b80c-7fb7f999f987","resolution":{"observed_at":"2026-08-06T23:48:30.822442Z","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":"2026-08-06T23:48:30.918100Z","title":"A Survey of Deep Learning Techniques for Autonomous Driving","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:30.918100Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:a3a9d2fcf6cd0fb47d4fef23b797d405e479d864afc1d89d448426f18c396035","observation_id":"fee79d22-3baa-4ee0-8140-747c38443e48","resolution":{"observed_at":"2026-08-06T23:48:30.918100Z","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":"2026-08-06T23:48:38.476218Z","title":"Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion","venue":null,"work_id":"aa82e8e4-5457-4427-beab-d3018b9f23b2","year":2022},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.052707Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:1b3549f5c6c25d80b900f58a4b00ce6a095eeaf9e4fd300ab7ec406996c44685","observation_id":"97be5f7b-7bcf-4de2-a2fe-e669a75f180a","resolution":{"observed_at":"2026-08-06T23:48:38.592853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:38.277505Z","title":"Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks","venue":null,"work_id":"bd26f08a-b2a8-4f68-8360-af1c650e6a8f","year":2018},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.165852Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:3480350d3fd95d3cdab7914f4528bd11728582c9e1eb5cf56c81d00786d2da5c","observation_id":"55c1d435-3588-49f0-bb17-a1a7f10faaf9","resolution":{"observed_at":"2026-08-06T23:48:38.388113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:31.248749Z","title":"The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.248749Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:3549cd8617ec1c26e31d9831b674eccfd966a9c748d5a70f44104bf4514f58ee","observation_id":"979e686a-4ee2-4e18-91bc-c5d6ad599913","resolution":{"observed_at":"2026-08-06T23:48:31.248749Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:48:31.349546Z","title":"Vision-Based Driver Assistance Systems: Survey, Taxonomy and Advances","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.349546Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:3d77f6aa2005dad023fc9f8b743d64b02bf25c0eba2fbb90f02ee397f2db96c1","observation_id":"f08d7c3f-75db-4826-954a-48fbb578d85e","resolution":{"observed_at":"2026-08-06T23:48:31.349546Z","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":"2026-08-06T23:48:31.461375Z","title":"FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.461375Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:05386d68ec33764b6715a073613f62e2ae4d7220f4921f9b6a1c098cc32b73a0","observation_id":"39b6f482-9222-4dea-82b2-5511576ae15f","resolution":{"observed_at":"2026-08-06T23:48:31.461375Z","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":"2026-08-06T23:48:31.604070Z","title":"ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.604070Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:27d839b558919852a77ec9cf1e3f4411c34ddecfa7cfdcce5c98d1086416f3a7","observation_id":"3fe47134-b3f8-4f7f-b196-88f128a149c0","resolution":{"observed_at":"2026-08-06T23:48:31.604070Z","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":"2026-08-06T23:48:31.712601Z","title":"A Review of Deep Learning-Based Vehicle Motion Prediction for Autonomous Driving","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.712601Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:ec14754a5f389d306133f08a6a6254534ec20fbbb4e965111298cb073e990af2","observation_id":"1e4f65d3-a878-486f-b77d-ef149bba2d47","resolution":{"observed_at":"2026-08-06T23:48:31.712601Z","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":"2026-08-06T23:48:38.120587Z","title":"Multimodal Trajectory Prediction: A Survey, February 2023","venue":null,"work_id":"07c12c65-67a7-43f9-867e-246ce22b142e","year":2023},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.769110Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:2f0de952a2bb19c378de52efc5f733f47def272b2135f75b925ef0de981133a8","observation_id":"391c6704-c47c-4ecf-ac0d-5f2195c25b1e","resolution":{"observed_at":"2026-08-06T23:48:38.193815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:31.830386Z","title":"HDGT: Hetero- geneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encod- ing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.830386Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:ef8f736bfa397410c0fc8a7599a56c73304539187816a503c0e9380fae16c499","observation_id":"b11921aa-3cdf-4e12-91cd-8c760d46216d","resolution":{"observed_at":"2026-08-06T23:48:31.830386Z","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":"2026-08-06T23:48:37.852389Z","title":"MotionDiffuser: Controllable Multi-Agent Motion Prediction Us- ing Diffusion","venue":null,"work_id":"6f99ed71-e7e1-4d55-a5e7-b1205c1ccf59","year":2023},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.882429Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:850cf7dc766c3af07ec6d34f0cbefa819449a5a6f1944f94d014f7b0838f7039","observation_id":"69f95420-4009-4cd9-bbc3-a45379bfeb00","resolution":{"observed_at":"2026-08-06T23:48:37.992813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:48:34.766517Z","title":"Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling","venue":null,"work_id":"3ddcb379-4aef-4a1a-a39c-ce6aa76c246c","year":2024},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.930255Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:0b34140fb9d5383524e929fd398cd6834507e71292869ac80e619028b5aca3e8","observation_id":"f5366778-296d-4321-91f0-76bbee17bc4e","resolution":{"observed_at":"2026-08-06T23:48:34.837651Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:31.985744Z","title":"Towards learning-based planning: The nuPlan benchmark for real-world autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:31.985744Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:64431e8043c115e11dac02e144f091848ff7ab7b16a79d652abe4704fa09f61d","observation_id":"aa78110c-a46c-4316-979f-fe7fb3cb32e9","resolution":{"observed_at":"2026-08-06T23:48:31.985744Z","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":"2026-08-06T23:48:32.103991Z","title":"Level-5 Autonomous Driving—Are We There Yet? A Review of Research Literature","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.103991Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:3bfbc1de9fbc246b44a4dcc4cd5d2ce6cb91e9e2f0b071d3cb85fc6ecaf4542d","observation_id":"ca6c8e36-93f2-4b81-94a0-512774c0e251","resolution":{"observed_at":"2026-08-06T23:48:32.103991Z","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":"2026-08-06T23:48:32.241837Z","title":"A Review of Tracking and Trajectory Prediction Methods for Autonomous Driving","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.241837Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:47fe89de1b3483978b23dd056eed758908a2a7d8396a6f92a3cbee8655c9d434","observation_id":"84fec882-2afc-42bb-b502-6f8578341a90","resolution":{"observed_at":"2026-08-06T23:48:32.241837Z","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":"2026-08-06T23:48:37.661755Z","title":"Gener- ative Models in Decision Making: A Survey, March 2025","venue":null,"work_id":"05350772-0504-41f2-83a9-7ea90c11fbf8","year":2025},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.352735Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:d3bf5583836670a60ca1a51f576d799bba82de9a43dc873439560c19df453bda","observation_id":"6ff0636d-a16d-4413-bcfe-a52775907f37","resolution":{"observed_at":"2026-08-06T23:48:37.724882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:32.474157Z","title":"Occupancy Flow Fields for Motion Forecasting in Autonomous Driving","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.474157Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:563036d74aff25b970e1113aca7b3a5edeaeb39213ba11ddb7d8307d4bc8475d","observation_id":"13a13eeb-9c06-4693-bf85-ac9bdd6e7238","resolution":{"observed_at":"2026-08-06T23:48:32.474157Z","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":"2026-08-06T23:48:37.470657Z","title":"Weiss, Benjamin Sapp, Zhifeng Chen, and Jonathon Shlens","venue":null,"work_id":"dd3f84f3-80a3-4025-9fdb-646d0d288740","year":2021},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.539578Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:e05f0a113f8357a43cec2d9cb64786a6bac1809fd305dc9cfb365429a7e37a6f","observation_id":"295b76b7-b409-4084-816a-9df4144be781","resolution":{"observed_at":"2026-08-06T23:48:37.556163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:37.291245Z","title":"Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction","venue":null,"work_id":"661b9234-ee2e-4fb5-9073-13036dc1557c","year":2023},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.594608Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:103722636562307218af3920191a0c4911178142dbb59bcb801cf3510944e3b2","observation_id":"9a500318-8df9-4ab2-afe3-8a2349ef7f74","resolution":{"observed_at":"2026-08-06T23:48:37.373337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:37.005934Z","title":"Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey, December 2020","venue":null,"work_id":"8e9d5399-196c-483a-8419-7ef2d7e2a22a","year":2020},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.655112Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:6e445ed5a6e67b4a51ee8b42b3f902965c58526ad684092da2da7b7a5412857b","observation_id":"e712427e-07f2-42ba-ba58-ed443a70f58f","resolution":{"observed_at":"2026-08-06T23:48:37.181559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:36.686271Z","title":"Deep Imitative Mod- els for Flexible Inference, Planning, and Control","venue":null,"work_id":"ca3b23f4-ef37-4289-a1e7-234c93ff2644","year":2019},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.701165Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:b18ce87a4d6ec9616f07736730e10ae76fb8fbca599743568c80761d42fe6aeb","observation_id":"a0eb1b3a-bf73-4cf7-ab5f-846218fbb8c6","resolution":{"observed_at":"2026-08-06T23:48:36.814724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.29743","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:48:34.389854Z","title":"Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids.IEEE Robotics and Automation Letters, 5(2):2816–2823, April 2020","venue":null,"work_id":"a321e699-4c8d-4bd8-ab56-4df2dccac411","year":2020},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.749866Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:5af9d329f55a4d01ed32d84a581f14bc5a2dfe88a7bee1a85ea5157b1b2a3412","observation_id":"2e44ff4e-f09b-4189-82f5-22ac633189d6","resolution":{"observed_at":"2026-08-06T23:48:34.478980Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/gamm","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:48:33.984026Z","title":"An introduction to deep generative modeling","venue":null,"work_id":"bb943bc8-1fa0-488b-99c1-9320c19b94f9","year":2021},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.798704Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:a4886da889843f0abd9d2487a267c57f5dda434cbb47cb9fb3f738af90faa80e","observation_id":"2f39a2c5-6aba-4cda-aa0c-248f492655f1","resolution":{"observed_at":"2026-08-06T23:48:34.016598Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:32.840998Z","title":"Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.840998Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:4cc078fd59b49900b765666a518666e866e9306a791080cac130aa561015a1c8","observation_id":"58ab81dd-7a91-496c-9fcf-994669cf3866","resolution":{"observed_at":"2026-08-06T23:48:32.840998Z","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":"2026-08-06T23:48:32.902828Z","title":"Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.902828Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:4790771d66aa9bbaf82d8be0ac590d03a9ad9951d932f9dee7debccd35a38702","observation_id":"11b436e5-0135-439c-9d28-b11234a9853f","resolution":{"observed_at":"2026-08-06T23:48:32.902828Z","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":"2026-08-06T23:48:36.510232Z","title":"Motion Transformer with Global Intention Localization and Local Movement Refinement","venue":null,"work_id":"301ba0e8-1024-49d1-a754-640d9aaef6af","year":2022},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:32.958270Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:9e47821265a3fec938b5e63fd953603112c95d7984b3a5fb0b04647cde042a63","observation_id":"df00020a-c25e-4700-a0aa-f808cf7c9004","resolution":{"observed_at":"2026-08-06T23:48:36.600300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:33.083293Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:33.083293Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:b16b2606497c27c2122e9e6c421d4d4fa7daf38af690ebb85979b78356186124","observation_id":"dce0d205-0d7a-45fb-8b8c-53f699aa6e41","resolution":{"observed_at":"2026-08-06T23:48:33.083293Z","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":"2026-08-06T23:48:36.252856Z","title":"A Survey on Video Diffusion Models","venue":null,"work_id":"4e3c0748-d26a-414c-a55c-f0832defac54","year":null},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:33.164102Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:c254b266602b5bd60e21afa2e228450ccecf3690984005c306d0b814f8b06454","observation_id":"e1422221-df47-4d35-8179-8f3469437423","resolution":{"observed_at":"2026-08-06T23:48:36.371429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:35.952605Z","title":"Fine-Grained Behavior and Lane Constraints Guided Trajectory Prediction Method, April 2025","venue":null,"work_id":"5496639a-1ce7-4f3b-90b5-790c8e59757f","year":2025},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:33.343963Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:04206f9293d9954608a9b018050a616a74d1ea764d07a910ff6d0ca9c6ed1846","observation_id":"47ed3fd0-ff2b-435f-9b45-4a12b53391ce","resolution":{"observed_at":"2026-08-06T23:48:36.039449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:35.772945Z","title":"Researches on Adaptive Cruise Control system: A state of the art review","venue":null,"work_id":"102e7f79-dd16-4d10-83de-5163e49745e9","year":2021},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:33.450791Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:67db782da7331305a53edee0d31f8bf14951b91c3d786f15d29b6c24f9458008","observation_id":"78222881-236c-43c4-a9e8-006452bd72f7","resolution":{"observed_at":"2026-08-06T23:48:35.861332Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:35.618587Z","title":"Kebria, Abbas Khosravi, and Saeid Nahavandi","venue":null,"work_id":"37c95431-8966-40d3-950f-97206b4f0977","year":2023},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:33.585522Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:a6e2a03a9d88a49f8b5038a2495d23fa0ce79b0399688175ab29bfcb3d3f425c","observation_id":"2cc82d99-bb70-42d8-8e04-cf50a77dc2c3","resolution":{"observed_at":"2026-08-06T23:48:35.679535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:35.465497Z","title":"A Novel Di- rect Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly- Exploring Random Tree","venue":null,"work_id":"cab9205a-c073-48d9-9fdd-77758c4126ba","year":null},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:33.702634Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:a0ab1bf10def69e7b280ef91e9427b5acfed91d8b763ccf997d34bfdb91d3f23","observation_id":"5bef62ba-fac5-49dc-a6e7-97558c63b50d","resolution":{"observed_at":"2026-08-06T23:48:35.524030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:35.206380Z","title":"HiVT: Hierar- chical Vector Transformer for Multi-Agent Motion Prediction","venue":null,"work_id":"083e559a-ebf0-4ef2-8ade-3af5e8b7409c","year":2022},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:33.848826Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:74969bd1c7f4627144a68ffb25a01c60f8b91a4510ce3392ee3d027903b44854","observation_id":"b48ca677-a560-4c34-9709-cd7dc1ae133c","resolution":{"observed_at":"2026-08-06T23:48:35.276679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:48:33.790888Z","title":"doi: 10.1109/TITS.2022.3164391","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:33.790888Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:a00f1b278545e5aea69bb037550a198ca93a18be60a1f0db9f8eee41b4b0b0e4","observation_id":"6d748efe-2b73-43a7-a413-41475f1f8187","resolution":{"observed_at":"2026-08-06T23:48:33.790888Z","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":"2026-08-06T23:48:33.223761Z","title":"doi: 10.1145/3696415","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:33.223761Z"},"links":{"citing_paper":"/paper/2506.16209"},"observation_digest":"sha256:dced616663218a698dc85aa0b5cde657c163576dc21a88dc868d2b2d0d111be0","observation_id":"cdcde8ee-faa0-4950-95c4-f9951ee75dfd","resolution":{"observed_at":"2026-08-06T23:48:33.223761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.16209","last_updated":"2025-06-19T10:57:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T23:41:56.309183Z","submitted_at":"2025-06-19T10:57:44Z","title":"VideoGAN-based Trajectory Proposal for Automated Vehicles"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":4,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":18,"verified_exact":1,"verified_fuzzy":21},"total_outbound_references":45},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.16209."}