{"as_of":"2026-08-13T02:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c2461a842af42e5df66c5e4a70f059d8ad62ffe416ad742e74555c3ce2b75628","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:11:49.158769Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2411.10961/citation-record","integrity":"/paper/2411.10961/integrity","json":"/paper/2411.10961/citation-record.json","paper":"/paper/2411.10961"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.856596Z","title":"Adapt: Efficient multi-agent trajectory prediction with adaptation","venue":null,"work_id":"be7d46ae-e2df-4454-9073-0ee10040a9aa","year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:48.964525Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:e72fd8fd8adb550a032c79d108b08d22260bc9492b9ce63770e2c0ba8e957049","observation_id":"0a6d6646-cfc2-4bb1-8d3a-2ed6f82ff949","resolution":{"observed_at":"2026-08-12T19:11:49.861034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1607.06450","last_updated":"2016-07-21T19:57:52Z","snapshot_observed_at":"2026-08-12T08:59:05.030983Z","submitted_at":"2016-07-21T19:57:52Z","title":"Layer Normalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.06450","snapshot_observed_at":"2026-08-12T19:11:48.969160Z","title":"Layer normalization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:48.969160Z"},"links":{"cited_paper":"/paper/1607.06450","citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:2f4994252dbd4e37644efb6f1c6c3d6068641bfca1f6f7e42636d8c8c58410ec","observation_id":"4d5f02e5-3d3f-42a0-a7b8-55a98becf731","resolution":{"observed_at":"2026-08-12T19:11:48.969160Z","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":"2026-08-12T19:11:49.844304Z","title":"Eigentrajectory: Low-rank descriptors for multi-modal trajectory forecasting","venue":null,"work_id":"66f9ea07-4f36-4d2c-b64b-280af56e366f","year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:48.973404Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:9d4f8678eb19da0ff9d53f0fd5751fc3a5ce2ee89f6c816bd96aca68cf5bcfcc","observation_id":"c8924f1b-5b96-4fab-a912-fa336b6b9e99","resolution":{"observed_at":"2026-08-12T19:11:49.848475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.832208Z","title":"Vehicle trajectory prediction works, but not everywhere","venue":null,"work_id":"d21cbdc0-1249-4bfd-8428-429be53581b5","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:48.977814Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:a012e3a890300d08622d92411989f27f91c39646e4227c3385790fe6e94a176f","observation_id":"2ad8d904-37e5-4fdf-927f-ce692753b8bc","resolution":{"observed_at":"2026-08-12T19:11:49.836472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:48.981885Z","title":"nuscenes: A multi- modal dataset for autonomous driving","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:48.981885Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:65aa14b745c1ddfc13d8d59a5bb53d6862ea65ef1767ee18200950f1a8f3720c","observation_id":"c2867333-2385-49ff-b30f-66c07bef7cdf","resolution":{"observed_at":"2026-08-12T19:11:48.981885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.05449","last_updated":"2019-10-12T00:34:37Z","snapshot_observed_at":"2026-08-10T19:51:16.852667Z","submitted_at":"2019-10-12T00:34:37Z","title":"MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.05449","snapshot_observed_at":"2026-08-12T19:11:48.986699Z","title":"Multipath: Multiple probabilistic anchor tra- jectory hypotheses for behavior prediction","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:48.986699Z"},"links":{"cited_paper":"/paper/1910.05449","citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:e387f2cf7353c7a53b2999c9f86c105b4a01221a4a27a146637b9bb10d5546c3","observation_id":"ebf4df0d-3fc1-4bb3-bf28-a719955ee137","resolution":{"observed_at":"2026-08-12T19:11:48.986699Z","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":"2026-08-12T19:11:49.813306Z","title":"Argoverse: 3d tracking and forecasting with rich maps","venue":null,"work_id":"caba9d19-3fff-4e2e-97ac-0eeb01ff2552","year":2019},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:48.991432Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:13de50d7f9748b3edc524906dbaa94b6982c5978611263e3bd85646dd1fb7ced","observation_id":"473bcfb5-a49e-4991-ba87-8d144b817964","resolution":{"observed_at":"2026-08-12T19:11:49.817414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.800814Z","title":"Online knowledge distillation with diverse peers","venue":null,"work_id":"cf11e565-8d91-4067-b249-e62d7a54fcb2","year":2020},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:48.995617Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:ec6fe61157dcfc7430613cb72462bc898b3164d42a064cae7fa658e3f27317cf","observation_id":"d10eefcc-46de-4f8d-aa82-9d0f03a6bb14","resolution":{"observed_at":"2026-08-12T19:11:49.804816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:48.999515Z","title":"Forecast-mae: Self-supervised pre-training for motion forecasting with masked autoencoders","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:48.999515Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:654cd3003396f2ae891dceb6c1d39d0b6a404fe47e995088917f0d61574aac1d","observation_id":"f6251172-3ef0-4231-8e25-96757d4fe1f4","resolution":{"observed_at":"2026-08-12T19:11:48.999515Z","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":"2026-08-12T19:11:49.780943Z","title":"Hierarchical latent structure for multi-modal vehicle trajectory forecasting","venue":null,"work_id":"e408769d-2e9a-467b-a345-ee043489ab7b","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.003483Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:072cbfc40810ef4030570a9ad25b357265bb7e9ee7891e23e784625c750e453e","observation_id":"4362c609-1d51-4151-ab8a-2d28df216781","resolution":{"observed_at":"2026-08-12T19:11:49.784769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.768929Z","title":"Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation","venue":null,"work_id":"a582d46c-b113-4b68-8657-8f7095ccda8e","year":2020},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.007337Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:ecb5bb24430081e9e7e46c25535985a42f311e99396a9143230d7b78ae523771","observation_id":"dd883091-2cb5-43c4-99f4-f8eab342daa1","resolution":{"observed_at":"2026-08-12T19:11:49.773048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.757248Z","title":"Densetnt: End-to-end trajectory prediction from dense goal sets","venue":null,"work_id":"84badf05-0009-4820-8f0c-3c482ba4c6ac","year":2021},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.011475Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:cb4ff2246b3522cd31631e37e1d28556f7129853adecf544a0b4fc3e8963b12b","observation_id":"9d35fa82-5d68-4799-ba04-4053f5232a6a","resolution":{"observed_at":"2026-08-12T19:11:49.761561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.014723Z","title":"Online knowl- edge distillation via collaborative learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.014723Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:21f2b1a07843788f723442c9db29a05c8341348e6c790083073e443525a4332f","observation_id":"1de3e71a-6c67-458c-86cd-ec487114c8c0","resolution":{"observed_at":"2026-08-12T19:11:49.014723Z","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":"2026-08-12T19:11:49.019116Z","title":"A comprehensive overhaul of feature distillation","venue":null,"work_id":null,"year":1921},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.019116Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:92aa084360da573fe4d5795ae5205bfbcede2ca81c43993f672d5b322f1b6dec","observation_id":"3b387543-230e-4e9c-894f-c687f07a6776","resolution":{"observed_at":"2026-08-12T19:11:49.019116Z","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":"2026-08-12T19:11:49.022835Z","title":"Knowledge transfer via distillation of activation boundaries formed by hidden neurons","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.022835Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:e3e9503d8920aab91b4cc2c7e9d35309f9474a21972bb055d4ae1c4027f6150e","observation_id":"a400acf4-4983-475d-972c-b05cc50e55af","resolution":{"observed_at":"2026-08-12T19:11:49.022835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-07-06T04:11:24.157003Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-12T19:11:49.026466Z","title":"Distill- ing the knowledge in a neural network","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.026466Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:5876c35889fad098e4f97bbd428b476e2f4e65b0d459d749d57e69aa741fb455","observation_id":"ef5cc65a-0a7e-4cca-bf39-7bf2ad540d27","resolution":{"observed_at":"2026-08-12T19:11:49.026466Z","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":"2026-08-12T19:11:49.717921Z","title":"Motiondiffuser: Controllable multi-agent motion prediction using diffusion","venue":null,"work_id":"6c955a8a-09f5-43bc-bdef-715967b5cb6b","year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.030451Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:e58deca6932c04d24cd0a530fdda0b0e4383d74da4a7d44bccf0f9ce394644e6","observation_id":"e438d1b7-8547-4fdc-95ec-9d29fae1543c","resolution":{"observed_at":"2026-08-12T19:11:49.722156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.703855Z","title":"Paraphras- ing complex network: Network compression via factor trans- fer","venue":null,"work_id":"3f1a0953-75df-4e15-a504-d01e71c8cb04","year":null},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.034148Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:83583cd3c2bf481fce539792e8a59fcc96c400720bd93a6e0e66887f87ff71c9","observation_id":"ec9ec5b6-d66d-45b3-959e-5428828ad89b","resolution":{"observed_at":"2026-08-12T19:11:49.708544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.691894Z","title":"Multi-modality cascaded fusion technology for au- tonomous driving","venue":null,"work_id":"1244b62d-5143-4395-851b-09cb127c33db","year":2020},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.038681Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:e3a796cf484541ffdc4c470826fc85ceecdd40fadd00e23c62530f4994c146bd","observation_id":"c985327d-ace5-4ebd-a2ea-5b92df640ed6","resolution":{"observed_at":"2026-08-12T19:11:49.695977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.677855Z","title":"Shadow knowledge distillation: Bridg- ing offline and online knowledge transfer","venue":null,"work_id":"a9abc409-c60a-4d66-ad69-96c628fd68e2","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.042738Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:014f8912576e7b7b723012efb4ac9ee92c36c9ace38cdd315d2e672b89cc6e81","observation_id":"a42e3034-ed4b-4fa5-a60f-a5af4287b707","resolution":{"observed_at":"2026-08-12T19:11:49.683507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.665951Z","title":"Distilling a powerful student model via online knowledge distillation","venue":null,"work_id":"7aa7c118-6475-459e-8327-0770a7b111d5","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.047460Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:c9abfe73bac8362f651ec479e02c5c5d6549884cebdc17034572b3d96a926954","observation_id":"bba3dbad-9ec2-47cd-84ec-3f50566ccd17","resolution":{"observed_at":"2026-08-12T19:11:49.670273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.654319Z","title":"Sit: A spatial interaction-aware transformer- based model for freeway trajectory prediction","venue":null,"work_id":"8446b43a-ce0a-45b2-91e2-b65449a7aefd","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.051581Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:5baf8379d9975554a6bcbeb684ce10b6b9657ab923546e48f5ea3741ba3a987c","observation_id":"90a080e9-2e20-4bbc-be23-6ecfdc0bdfbf","resolution":{"observed_at":"2026-08-12T19:11:49.658219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.055343Z","title":"Online knowledge distillation for efficient pose estimation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.055343Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:6ea69e0a9db418ae98880943a3f2e0a977991631777ea88c5ed9a57281552b1f","observation_id":"3e0bd4f7-b336-47c4-9604-1530530574d1","resolution":{"observed_at":"2026-08-12T19:11:49.055343Z","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":"2026-08-12T19:11:49.634183Z","title":"Learning lane graph represen- tations for motion forecasting","venue":null,"work_id":"17a61d5e-1bc5-414a-8687-0e87ee4117fc","year":2020},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.058963Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:465280a672b2e65a4a829052d484559880cde9960d7fd67d3fd00c32c2106961","observation_id":"59ac2d54-f680-490d-abae-b00204377a8f","resolution":{"observed_at":"2026-08-12T19:11:49.638149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13933","last_updated":"2023-02-27T16:34:16Z","snapshot_observed_at":"2026-08-10T06:12:13.995901Z","submitted_at":"2023-02-27T16:34:16Z","title":"LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13933","snapshot_observed_at":"2026-08-12T19:11:49.062444Z","title":"Laformer: Trajectory prediction for autonomous driving with lane-aware scene constraints","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.062444Z"},"links":{"cited_paper":"/paper/2302.13933","citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:25ac35ae9f9557fde19ab0408b8443c1c011fc8eba71bad2dbf303054c124503","observation_id":"4d55424f-ce8a-4adf-b208-b31b460d5f30","resolution":{"observed_at":"2026-08-12T19:11:49.062444Z","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":"2026-08-12T19:11:49.622883Z","title":"Im- proved knowledge distillation via teacher assistant","venue":null,"work_id":"849d1c82-a483-4362-9ae9-3b6ebe78160c","year":2020},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.066048Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:5f9f2e04bf0fc8f3bd3b09651c41d26fe348b0ca550d0d3812f2137c9e145bb7","observation_id":"d2dd53b4-6227-40b8-83dc-1c36ebde15c9","resolution":{"observed_at":"2026-08-12T19:11:49.626988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.611303Z","title":"Wayformer: Motion forecasting via simple & efficient attention networks","venue":null,"work_id":"f283e03f-9458-4f62-95e0-e6e280063bf9","year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.069512Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:54c924cdc3b40d917befcc28f76d06ef244250b9d49cbdbdbee9435e4ab8ac4b","observation_id":"ac19796b-5d62-4309-a8dc-20ae280f478f","resolution":{"observed_at":"2026-08-12T19:11:49.615508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.073792Z","title":"Relational knowledge distillation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.073792Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:de10f35b146a5a2c417cd2e7e9061770e82a2021efd555a0d853e8ec5eef0861","observation_id":"03d5776c-1f7f-4007-a23c-4707286fbd59","resolution":{"observed_at":"2026-08-12T19:11:49.073792Z","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":"2026-08-12T19:11:49.591263Z","title":"Switchable online knowledge distillation","venue":null,"work_id":"6ee228c2-1ae1-42c5-9389-fb789ffa613e","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.077477Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:5245f32d7ac74de8f3d805e08fb77778a2c3215d272e709f86c4109d678ee6f9","observation_id":"da857c2f-501b-4ced-8e37-16a0fe07d9ae","resolution":{"observed_at":"2026-08-12T19:11:49.595534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.577800Z","title":"Crat-pred: Vehicle trajectory prediction with crystal graph convolutional neural networks and multi-head self-attention","venue":null,"work_id":"db2cae62-fbe0-41e8-be97-42301c16842f","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.081237Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:e35402311a2bea18114203ed48103b1477427abcf16da6b5c30a517357cc3fdd","observation_id":"8d5e599b-f068-4ea9-bb32-4adba5d2afa5","resolution":{"observed_at":"2026-08-12T19:11:49.582532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.566531Z","title":"Motionlm: Multi-agent motion forecast- ing as language modeling","venue":null,"work_id":"cda19755-99e8-49a4-a243-823c8bbcfded","year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.085169Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:0ce970d06c545700fdceaf209f738d7c866103f64ed2789b59798a38a6a0d516","observation_id":"2d1ba8d8-7225-458a-b094-f326727b5d53","resolution":{"observed_at":"2026-08-12T19:11:49.570706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.553762Z","title":"Motion transformer with global intention localization and lo- cal movement refinement","venue":null,"work_id":"c1f0941e-1597-4a4b-bb10-86b58bcc22cc","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.088869Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:710abb6b77b147a77c8dff4ff1c3f89d1ccdf02940a457a23ef90879ee7632b1","observation_id":"e90ff10a-3eb2-49d1-99b2-f3d7de81db73","resolution":{"observed_at":"2026-08-12T19:11:49.557739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.17770","last_updated":"2024-03-09T08:56:22Z","snapshot_observed_at":"2026-08-12T08:23:18.287968Z","submitted_at":"2023-06-30T16:23:04Z","title":"MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.17770","snapshot_observed_at":"2026-08-12T19:11:49.093202Z","title":"Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.093202Z"},"links":{"cited_paper":"/paper/2306.17770","citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:8ad8602a524b584d7fb1741213e850c83f151615402595f90585ecc2ad0277fc","observation_id":"69fee98d-e9b1-4040-a2fd-a80f901fcd8e","resolution":{"observed_at":"2026-08-12T19:11:49.093202Z","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":"2026-08-12T19:11:49.540724Z","title":"Scalability in perception for autonomous driving: Waymo open dataset","venue":null,"work_id":"f0d7c780-1bea-47b2-bf32-80235200eb9d","year":2020},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.098310Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:4c6e30c8e3d90dcb6d21e582cdbfe64f775c1689f971d49ab12d012d5a061a17","observation_id":"e899ffa1-6115-423d-8667-4f7ac191e1f4","resolution":{"observed_at":"2026-08-12T19:11:49.545781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.10699","last_updated":"2022-01-24T19:12:34Z","snapshot_observed_at":"2026-08-10T18:58:30.893017Z","submitted_at":"2019-10-23T17:59:18Z","title":"Contrastive Representation Distillation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.10699","snapshot_observed_at":"2026-08-12T19:11:49.102427Z","title":"Contrastive representation distillation","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.102427Z"},"links":{"cited_paper":"/paper/1910.10699","citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:93695736fd7e6cbb0446abb8b5ca3dd227112fef24f2570239088b621fb9eb93","observation_id":"986c71c7-237d-4715-b425-bee573ac2d19","resolution":{"observed_at":"2026-08-12T19:11:49.102427Z","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":"2026-08-12T19:11:49.528303Z","title":"Multipath++: Efficient information fu- sion and trajectory aggregation for behavior prediction","venue":null,"work_id":"392664ef-39f1-4e3e-b798-fba6a783fc0a","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.106755Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:9ac760605955b1db21fdcad6f69279422ac9ce36793d2f11b3793f2064ff91c8","observation_id":"61796b44-cd29-412d-b482-dbc5cc2a0c94","resolution":{"observed_at":"2026-08-12T19:11:49.532644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.111175Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.111175Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:38949bc10884c5ff6e9176c293971e43ba53dc4b19765e83fdeb5145d63ccab8","observation_id":"3d3caa27-febb-4992-b547-2bbbb0ec5068","resolution":{"observed_at":"2026-08-12T19:11:49.111175Z","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":"2026-08-12T19:11:49.509465Z","title":"Ptseformer: Progressive temporal-spatial enhanced transformer towards video object detection","venue":null,"work_id":"e6349a1c-ea0a-4955-95f8-e429f2f64254","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.114747Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:1c4f317a32435e5139def2f742abcaf95e96a3e772ee5faffe42d71822d00ad5","observation_id":"2d48a54c-c98d-47fc-91b6-8617418ba8ef","resolution":{"observed_at":"2026-08-12T19:11:49.513652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.118415Z","title":"Dis- tilling object detectors with fine-grained feature imitation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.118415Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:49b398a066610217293842fb882178500b24df9109c488577abe35715f2b7b6a","observation_id":"ca9b7c08-5877-4b7c-8588-5b82e01a4a36","resolution":{"observed_at":"2026-08-12T19:11:49.118415Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14177","last_updated":"2023-06-25T09:05:48Z","snapshot_observed_at":"2026-08-04T01:17:21.758965Z","submitted_at":"2023-06-25T09:05:48Z","title":"Enhancing Mapless Trajectory Prediction through Knowledge Distillation","version":1},"cited_work":{"arxiv_id":"2306.14177","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.14177","snapshot_observed_at":"2026-08-12T19:11:49.225470Z","title":"Enhancing Mapless Trajectory Prediction through Knowledge Distillation","venue":"cs.CV","work_id":"bebb05b2-e18f-4639-863f-5260e1a789e1","year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.122253Z"},"links":{"cited_paper":"/paper/2306.14177","citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:2527a82fa871f168cd31a736658b98a0bb6411ab571de6ba2bdea620222f1b04","observation_id":"4fba0b77-25c7-43d6-985f-cce9afba3a24","resolution":{"observed_at":"2026-08-12T19:11:49.230297Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.489214Z","title":"Fend: A future enhanced distribution-aware contrastive learning framework for long-tail trajectory prediction","venue":null,"work_id":"ad1c5237-fd80-4bad-a55f-eb5d8e791f28","year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.126617Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:ab91a2b75efb97c0bea5a43ba551ea36a3867bbbaee52c7af95e9e17a071bb50","observation_id":"76d6915b-04b6-40a8-8124-999d3fc99385","resolution":{"observed_at":"2026-08-12T19:11:49.493503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-12T19:11:49.130422Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.130422Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:b90272b4e5a3b980ccf76e17a0e350f2751e9499226ebd7495bc327e36a2acac","observation_id":"e32a45cf-9cf7-404c-ad14-1211df9743c8","resolution":{"observed_at":"2026-08-12T19:11:49.130422Z","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":"2026-08-12T19:11:49.476555Z","title":"Peer collaborative learn- ing for online knowledge distillation","venue":null,"work_id":"7a9ab112-7cc7-4cd8-8aa2-3a3b93366c6b","year":2021},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.134335Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:96282fdd54b9468c385fe94788ad4ab27192483a9ffd30c9d0065ee6f580540b","observation_id":"10d0f756-9a52-4b41-be1a-8ca235dc2115","resolution":{"observed_at":"2026-08-12T19:11:49.481369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09831","last_updated":"2023-07-19T08:36:31Z","snapshot_observed_at":"2026-08-12T19:50:42.534277Z","submitted_at":"2023-07-19T08:36:31Z","title":"A Fast and Map-Free Model for Trajectory Prediction in Traffics","version":1},"cited_work":{"arxiv_id":"2307.09831","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.09831","snapshot_observed_at":"2026-08-12T19:11:49.192579Z","title":"A Fast and Map-Free Model for Trajectory Prediction in Traffics","venue":"cs.AI","work_id":"fa9cbf7c-a71c-4c17-9217-e0696a73119d","year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.138375Z"},"links":{"cited_paper":"/paper/2307.09831","citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:5fd9735bd7153efb9632af2e9e9162548f62f2f2cf51f041fed4fba9cf02a538","observation_id":"1f339118-30d5-4ad0-8307-8ec6d6a12d61","resolution":{"observed_at":"2026-08-12T19:11:49.199350Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.143416Z","title":"Feature nor- malized knowledge distillation for image classification","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.143416Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:77aacb03c3f19004f6878f13a88e899db34c2523fa29e14ae18905b34248f3aa","observation_id":"4484857f-b8fe-4b73-a0c5-e8fdb56e2139","resolution":{"observed_at":"2026-08-12T19:11:49.143416Z","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":"2026-08-12T19:11:49.456694Z","title":"Decoupled knowledge distillation","venue":null,"work_id":"7bfedae8-9075-46c0-bac6-8881ca1a8da4","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.148092Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:ff056fbe283fcca135ce013ded3b2019b2f5e67bcfe791dcfa338325222861ed","observation_id":"e62282c2-50c6-4356-aa5b-b986a95e6f29","resolution":{"observed_at":"2026-08-12T19:11:49.460839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.442583Z","title":"Query-centric trajectory prediction","venue":null,"work_id":"6ced96a8-5fbb-4478-b959-d52cd8f40a77","year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.151833Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:1516c7052f534a1c240d868d0221d84df2efd7c587a8090c7afaa65b98fca923","observation_id":"3958f606-7a96-4d9d-90aa-b7917e4378f8","resolution":{"observed_at":"2026-08-12T19:11:49.447308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.427839Z","title":"Hivt: Hierarchical vector transformer for multi-agent motion prediction","venue":null,"work_id":"3730a32c-8c43-4d98-a58d-1e9d8b511d99","year":2022},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.155385Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:072a10480e9f8a1667bb2d14565df71710806488efbef1dcb340b343d1f4c9e4","observation_id":"574c8326-6f2d-425f-88cd-dc87e98be31f","resolution":{"observed_at":"2026-08-12T19:11:49.432463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:11:49.158769Z","title":"Ipcc-tp: Utilizing incre- mental pearson correlation coefficient for joint multi-agent trajectory prediction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.158769Z"},"links":{"citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:185477818524673f8f0424ba76dfdc1fa04cadcf915d831ccbba007f33f2ca1d","observation_id":"0a01559a-a992-47ec-8d1c-e390c34a0314","resolution":{"observed_at":"2026-08-12T19:11:49.158769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T19:03:16.945357Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":2,"verified_fuzzy":29},"total_outbound_references":49},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2411.10961."}