{"as_of":"2026-08-08T06:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:72f0868cfc7ecc67120ba685605ad9d2e08a6bdd18205486dc7d5fb4bded0067","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:14:34.864386Z","state":"measured"},{"denominator":67,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":67,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T05:15:24.308169Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-12T05:16:24.735061Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"cited_work":{"arxiv_id":"2506.08541","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08541","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Trajflow: Multi-modal motion prediction via flow matching","venue":null,"work_id":"c60b0de3-1ca6-494b-8d6d-359909d577b5","year":2025},"citing_paper":{"arxiv_id":"2604.26065","last_updated":"2026-04-28T19:06:06Z","snapshot_observed_at":"2026-08-07T23:27:37.745583Z","submitted_at":"2026-04-28T19:06:06Z","title":"FlowS: One-Step Motion Prediction via Local Transport Conditioning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-07T15:29:43.164528Z"},"links":{"cited_paper":"/paper/2506.08541","citing_paper":"/paper/2604.26065"},"observation_digest":"sha256:13c9924ebe968a63ae3f7ef4dbe3ea3edea28aea21727c33517863d279ef0cfc","observation_id":"8e8b1599-be6d-4ab7-b6ca-4737787d69ff","resolution":{"observed_at":"2026-05-12T00:21:21.847692Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"cited_work":{"arxiv_id":"2506.08541","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08541","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Trajflow: Multi-modal motion prediction via flow matching","venue":null,"work_id":"c60b0de3-1ca6-494b-8d6d-359909d577b5","year":2025},"citing_paper":{"arxiv_id":"2605.10717","last_updated":"2026-05-11T15:26:14Z","snapshot_observed_at":"2026-07-06T23:22:37.355450Z","submitted_at":"2026-05-11T15:26:14Z","title":"Heteroscedastic Diffusion for Multi-Agent Trajectory Modeling","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-12T05:15:24.308169Z"},"links":{"cited_paper":"/paper/2506.08541","citing_paper":"/paper/2605.10717"},"observation_digest":"sha256:fb6c658b946c7a5f97db703b1d1055a084dc5cf0cf3724645c8405a83826d627","observation_id":"55e6dfbf-2b5d-4bcc-9e9e-960326d14cb8","resolution":{"observed_at":"2026-05-12T05:16:24.738956Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.08541/citation-record","integrity":"/paper/2506.08541/integrity","json":"/paper/2506.08541/citation-record.json","paper":"/paper/2506.08541"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:14:34.522641Z","title":"Learning lane graph representations for motion forecasting,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.522641Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:1a09ee7ad6072d4c720f3bbd617336ec300e91c479d8b5978abc0e8b918066cf","observation_id":"faf4a40f-9239-45e0-bc75-278d76b4df1e","resolution":{"observed_at":"2026-08-07T05:14:34.522641Z","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":"2026-08-07T05:14:34.528698Z","title":"Implicit latent variable model for scene-consistent motion forecasting,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.528698Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:854a51c8757b05aa22ec6b4e86352a9f5a50574ca3c425676f000cce3ce3fd19","observation_id":"b06de4bd-27b4-4496-a766-2dcc1f1a89f4","resolution":{"observed_at":"2026-08-07T05:14:34.528698Z","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":"2026-08-07T05:14:36.046335Z","title":"Safety-oriented pedestrian occupancy forecasting,","venue":null,"work_id":"5a214cf6-1dd0-44c5-bbf4-2fe71f267658","year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.534590Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:fee644311ad659118efc990d93ab62b6fb69d601cb9afc69330057ede7df0439","observation_id":"e17cd2a7-24e9-441b-ab8a-eb64ef8dadf5","resolution":{"observed_at":"2026-08-07T05:14:36.050569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:36.032843Z","title":"Lanercnn: Distributed representations for graph-centric motion forecasting,","venue":null,"work_id":"3d45467f-1c60-4b80-a4f4-d00d5af62ac9","year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.540696Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:919c3d506626d02b54bf3b6f2ed2dcc826e7631d0dad4b5bd612fa6f0edd7869","observation_id":"dc0e9aca-d85d-47e6-a2a7-74a336bd0275","resolution":{"observed_at":"2026-08-07T05:14:36.037509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02163","last_updated":"2022-06-05T12:31:58Z","snapshot_observed_at":"2026-07-06T13:17:34.003708Z","submitted_at":"2022-06-05T12:31:58Z","title":"MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2206.02163","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.02163","snapshot_observed_at":"2026-08-07T05:14:35.188516Z","title":"MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving","venue":"cs.CV","work_id":"f6ea12cb-54fa-4c89-b36d-285833cee743","year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.546700Z"},"links":{"cited_paper":"/paper/2206.02163","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:b8e5ef2295f3fb319265750786eb8f811f299354802c1977f2d7bc83c06458e4","observation_id":"a00c000a-8c7b-4523-bfcf-49b5508f5f8c","resolution":{"observed_at":"2026-08-07T05:14:35.194173Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:36.018444Z","title":"Social nce: Contrastive learning of socially-aware motion representations,","venue":null,"work_id":"35bcdd73-b416-420f-a668-ed6ee4d6ca71","year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.553135Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:ebdf8ffacb4ea47cc662a0e368d551f21bf8971c262b853d419fe77c038d8df8","observation_id":"0d20ac51-8a21-4516-8d11-f266533d0d29","resolution":{"observed_at":"2026-08-07T05:14:36.023298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:36.003003Z","title":"Argoverse: 3d tracking and forecasting with rich maps,","venue":null,"work_id":"9fc6d12b-3ef1-4e18-89b3-3634630f9d5d","year":2019},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.558082Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:76440166980fdc1758eb90713ecefc7f95658311b29817742d02f417d90e20ca","observation_id":"35fd9e77-f531-4eb4-aab9-3971a773cf0b","resolution":{"observed_at":"2026-08-07T05:14:36.007918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.988268Z","title":"Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,","venue":null,"work_id":"51ae445e-2b60-4677-bc7b-53ddc13ad3cf","year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.563153Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:4eff63fa1cbf78e0a31d204f609710854af63f3d91fd4dca284e0705bc136800","observation_id":"18a90867-0b0f-4d3d-94ab-fbdc65e8b144","resolution":{"observed_at":"2026-08-07T05:14:35.993178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.973976Z","title":"Tnt: Target-driven trajectory prediction,","venue":null,"work_id":"3c92ce6a-4362-4e1f-a85d-ac7359109c18","year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.568311Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:dc78971a7ff76d6686d4df9bf9c67a268c5c07edf813eac3ed9cffba05034b2b","observation_id":"69ea02d9-7e81-415a-ae9a-f764069062bb","resolution":{"observed_at":"2026-08-07T05:14:35.978473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.959605Z","title":"Densetnt: End-to-end trajectory predic- tion from dense goal sets,","venue":null,"work_id":"a02f2300-001c-4003-9d21-0208aa0c3c9b","year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.574059Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:2fa24cf9f08c22e29b7fb50eee8b1aaf1993e195c7388413ee6f6b0b60035045","observation_id":"84f53b44-71b6-44e1-ba3e-876c679e11a7","resolution":{"observed_at":"2026-08-07T05:14:35.964446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.944532Z","title":"Stochastic trajectory prediction via motion indeterminacy diffusion,","venue":null,"work_id":"5b81ac46-4b03-4c9b-bf0e-8ebd643f1024","year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.579298Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:7a790d826932f86f33d066a665a69f617070b9ef0b60db538e4967f2cc1b6d67","observation_id":"d383f474-2d5b-4f04-9945-76c55f18aa20","resolution":{"observed_at":"2026-08-07T05:14:35.949073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.930635Z","title":"Leapfrog diffusion model for stochastic trajectory prediction,","venue":null,"work_id":"27402d48-7406-48f3-8c57-1dcf506ad889","year":2023},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.583974Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:3512c626229a7ccdf6d35ef1dd3b51d7f85943c691fcbf6b57f297c1b1a520a5","observation_id":"de71c83e-4902-40bc-bbfc-37e7f196a077","resolution":{"observed_at":"2026-08-07T05:14:35.935230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.917026Z","title":"Motiondiffuser: Controllable multi-agent motion prediction using diffusion,","venue":null,"work_id":"4c441e9f-5a26-47aa-853a-d796d033b6b4","year":2023},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.589393Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:69c969a386ca5039a8925a9c71453fa302f4578c06c8b92d9db206059c066c7b","observation_id":"e42d78a0-b35a-4ecd-a721-cd5330cdecca","resolution":{"observed_at":"2026-08-07T05:14:35.921731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.902537Z","title":"Moflow: One-step flow matching for human trajectory forecasting via implicit maximum likelihood estimation based distillation,","venue":null,"work_id":"6aa233b3-d0ca-45fe-88b1-24515faeac58","year":2025},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.594092Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:4488ade41f6f82236605cb1cd12909e5a494b538088b9ffa42ca1951dd5a43a2","observation_id":"571da710-0990-462d-9af9-0ec794efdbbf","resolution":{"observed_at":"2026-08-07T05:14:35.907136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.887852Z","title":"Motionlm: Multi-agent motion forecasting as language modeling,","venue":null,"work_id":"a9427555-44c8-4c25-a869-070ae142b5f1","year":2023},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.598914Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:804698dfe3d833d3ae6600a0c849a68e7027b3a444ff5f2d07d05963975a7ae3","observation_id":"651039b8-da52-42cf-ae3e-442bdac33054","resolution":{"observed_at":"2026-08-07T05:14:35.892631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.08417","last_updated":"2022-03-04T20:25:25Z","snapshot_observed_at":"2026-07-06T11:19:38.321360Z","submitted_at":"2021-06-15T20:20:44Z","title":"Scene Transformer: A unified architecture for predicting multiple agent trajectories","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.08417","snapshot_observed_at":"2026-08-07T05:14:34.604525Z","title":"Scene transformer: A unified architecture for predicting multiple agent tra- jectories,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.604525Z"},"links":{"cited_paper":"/paper/2106.08417","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:33c981dcbd83c3ab0a69c3a807532a7d35699e95b36e10d3f9cc1dcc1f04e078","observation_id":"e9174d2e-166e-4869-93a0-7b1f38f64584","resolution":{"observed_at":"2026-08-07T05:14:34.604525Z","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":"2026-08-07T05:14:35.872850Z","title":"Wayformer: Motion forecasting via simple & efficient attention networks,","venue":null,"work_id":"4754b8e8-bcd0-42dd-af9a-0b2f15c8cef1","year":2023},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.610025Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:8bdf6a7fe34f596a6d1fdd9ffe761b84af9caf24da1304d151cd06ca6a57dca8","observation_id":"87a2416d-75c1-46d3-afbf-82e8af5aabd3","resolution":{"observed_at":"2026-08-07T05:14:35.878092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.857756Z","title":"Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,","venue":null,"work_id":"0787643a-1d9b-4b66-b65f-001db0f83bb9","year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.614901Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:633509dbc0f3efeb55d4fba61bfd2d5e9ae0999c2648f620a45473580c080eeb","observation_id":"c6fd8787-6a37-4ae8-b0ee-45de28e8c014","resolution":{"observed_at":"2026-08-07T05:14:35.862530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.843013Z","title":"Motion transformer with global intention localization and local movement refinement,","venue":null,"work_id":"23a93e45-4848-4f20-b69c-1035493c62ac","year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.619465Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:9797ed04c404dff7df532b2d48a6bbb2ed439baeaa1b204afc48dd979e3c79a0","observation_id":"64bdbec4-3acb-4ca3-b062-50e8d553da8f","resolution":{"observed_at":"2026-08-07T05:14:35.847739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.828579Z","title":"Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying,","venue":null,"work_id":"0fdc4e97-6c25-40ff-8aa8-d0421cfd3a8f","year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.624492Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:b43489ac15a2810e3a1775450e14b9f5b16ef55e9a5cd04e79ebb22c641fe1f2","observation_id":"7a5a1d69-ab45-42fa-9ecc-87de2626b31f","resolution":{"observed_at":"2026-08-07T05:14:35.833223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.814474Z","title":"Query-centric trajectory prediction,","venue":null,"work_id":"170fc2f2-aa3e-4a17-be0e-f37dcc0397ba","year":2023},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.629841Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:82bb58f3dc33da8fec2836882922a3185a7e032c6e87a2cdb591fd31a7da25ef","observation_id":"37a6c2df-67cf-4c58-9cdb-17fde91566c0","resolution":{"observed_at":"2026-08-07T05:14:35.819134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.798598Z","title":"Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding,","venue":null,"work_id":"68522d24-3d2f-4f61-b767-b0a523fa9f20","year":2023},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.634489Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:68280a15f3398d67210bfa31b1ef6ceccddf361e04a0ba4a22efa0de03ccf4cb","observation_id":"3d1a562a-4340-4e48-b792-d8ca5a552785","resolution":{"observed_at":"2026-08-07T05:14:35.803917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.782743Z","title":"Eda: Evolving and distinct anchors for multimodal motion prediction,","venue":null,"work_id":"65bf7673-8d62-436f-bbb4-2a21f8260bd6","year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.639730Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:b2774eddeb7f5bf988db9b863250baa66992a209d772c0f9f96c2d2ae090c38a","observation_id":"52460b2b-eaf5-4230-8905-cd2ff9fb09ba","resolution":{"observed_at":"2026-08-07T05:14:35.788556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.767489Z","title":"Reasoning multi-agent behavioral topology for interactive autonomous driving,","venue":null,"work_id":"a5167b89-e65c-46c0-9c27-55acc8427d14","year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.645149Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:28f5638d1294c87284a80303282cd0edba70afd7256661f0d2b7f92a224268b4","observation_id":"557a2980-67f0-416b-be10-0c119a7b58ea","resolution":{"observed_at":"2026-08-07T05:14:35.772240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.750730Z","title":"Social gan: Socially acceptable trajectories with generative adversarial net- works,","venue":null,"work_id":"18a12b6f-bb4e-4aaa-ac6a-2ca0cbd4c04c","year":2018},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.650619Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:6f92c6ff98388f2952193bab711319f517d6a086930ab9e808e874d70fccd955","observation_id":"cbdf6528-eb7e-40b5-adff-221cfd2c32a7","resolution":{"observed_at":"2026-08-07T05:14:35.756228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.734249Z","title":"Mg-gan: A multi- generator model preventing out-of-distribution samples in pedestrian trajectory prediction,","venue":null,"work_id":"9396b7e4-5a72-4762-92c2-88cc19c01c7d","year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.656365Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:6f8c21d28a472f44a1523b5e6ea89da31b7de619b29536a3ad8ae44090366b90","observation_id":"3e4678c6-182e-41a1-b07d-0580e265b9cb","resolution":{"observed_at":"2026-08-07T05:14:35.739676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.719204Z","title":"Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning,","venue":null,"work_id":"b65a42f1-cbb0-4352-8a84-53d64a171d6a","year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.661386Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:0ffe4cd07a15496cac54ef51a2d4c0c88363aca169d4f20370717a3c039d88b7","observation_id":"d5a02c5d-f673-48ca-b04a-4d59688979cb","resolution":{"observed_at":"2026-08-07T05:14:35.724222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.704613Z","title":"Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning,","venue":null,"work_id":"9549b268-672a-4faa-949e-d71171deebe3","year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.666289Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:4bef23b74ffe472f49ab255b0a23ac4845d43fce674fe9390aeaa68f54c5f7cc","observation_id":"8d85ddf5-0b24-4228-a09d-366b023e02ec","resolution":{"observed_at":"2026-08-07T05:14:35.709619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.688055Z","title":"Muse-vae: Multi-scale vae for environment-aware long term trajec- tory prediction,","venue":null,"work_id":"acb975f9-dbe5-41c2-9f9b-75b141deffa2","year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.671992Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:6c4a46dbb84f7eb2061b5079a292e0b384edd1c4a0402f423f2c031c00a7b567","observation_id":"83ac6568-94a9-4cca-8182-e8882b8bfee3","resolution":{"observed_at":"2026-08-07T05:14:35.694119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.672897Z","title":"Flow matching for generative modeling,","venue":null,"work_id":"ec5aac7b-372a-4f9b-b146-e0eff47a7bfc","year":2023},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.677484Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:9fab8d5d91e73de37ff582d9e3068090b5289ae7505e71e6ea729e96e3301825","observation_id":"9126fbae-c89d-4b54-9cbb-560c732a2cd0","resolution":{"observed_at":"2026-08-07T05:14:35.677828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:34.682887Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.682887Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:8d4d1b88ede9b76fee9ff42b09a6a961b2a3e306f4b8000369d3b11d02a81f75","observation_id":"a5eb01d1-a488-460d-8f4f-c190079cb7e6","resolution":{"observed_at":"2026-08-07T05:14:34.682887Z","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":"2026-08-07T05:14:35.647004Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":"08bad7ef-893d-4b6f-8ec5-0335f6201c86","year":2020},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.688225Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:4e32cc0d682f04591e5d4a12ff90034dda69bfe7f9f41882b75214a9e373ecd2","observation_id":"bba1d985-8af7-4d9b-adc5-2fbddba4dbf7","resolution":{"observed_at":"2026-08-07T05:14:35.651583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.632067Z","title":"Executing your commands via motion diffusion in latent space,","venue":null,"work_id":"9a764203-f9c1-4c2e-b166-40ca7e9e34e5","year":2023},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.693690Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:78545594977c623487b6060a430c74dcdaa0539b024754d4d087f949fef706c5","observation_id":"900380bc-62a1-4456-b388-7537eb38a09b","resolution":{"observed_at":"2026-08-07T05:14:35.637306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14916","last_updated":"2022-10-03T09:17:41Z","snapshot_observed_at":"2026-07-06T13:57:50.746457Z","submitted_at":"2022-09-29T16:27:53Z","title":"Human Motion Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14916","snapshot_observed_at":"2026-08-07T05:14:34.698904Z","title":"Human motion diffusion model,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.698904Z"},"links":{"cited_paper":"/paper/2209.14916","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:ce55ade494cf07a215061c013b8d5d6e6c1e96bb0b46b55722ac2bda3a1f1281","observation_id":"358b32be-091f-4e6f-8e84-1b3809794b94","resolution":{"observed_at":"2026-08-07T05:14:34.698904Z","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":"2026-08-07T05:14:35.616910Z","title":"Motiondiffuse: Text-driven human motion generation with diffusion model,","venue":null,"work_id":"489905a5-5a77-4c41-a884-7d5a3062d002","year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.704339Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:f1850a1135e018da3c2c0922212e0ad266fb0011dc3127a89f856e3d027b99b5","observation_id":"dc8b0871-880d-4ec2-a6f5-603d8fe4a775","resolution":{"observed_at":"2026-08-07T05:14:35.621940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14810","last_updated":"2024-02-22T18:59:21Z","snapshot_observed_at":"2026-08-05T16:39:25.382498Z","submitted_at":"2024-02-22T18:59:21Z","title":"GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14810","snapshot_observed_at":"2026-08-07T05:14:34.709277Z","title":"Geneoh diffusion: Towards generalizable hand- object interaction denoising via denoising diffusion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.709277Z"},"links":{"cited_paper":"/paper/2402.14810","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:bc6d16656cdf22145f4d55af217a5c0400c6acebab23ada5b21394befbbdb7b0","observation_id":"db3923ef-00e0-4d3b-a18c-7d417d9f8263","resolution":{"observed_at":"2026-08-07T05:14:34.709277Z","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":"2026-08-07T05:14:35.602768Z","title":"Interhandgen: Two-hand interaction generation via cascaded reverse diffusion,","venue":null,"work_id":"905d1645-15ec-4f83-b4b8-8dfde2e53375","year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.714527Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:b7082dbd9570fb7b1d333978f39da209dc4c2009b29fcd7fd16e61e4ed0854a6","observation_id":"8218a341-6117-43c0-a55b-87f712ae63bc","resolution":{"observed_at":"2026-08-07T05:14:35.607440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.587919Z","title":"Latenthoi: On the generalizable hand object motion generation with latent hand diffusion","venue":null,"work_id":"7fdeaabc-6255-4d73-92f0-b5ed00011b17","year":2025},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.720642Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:8e9d85a7a49372bc50030eb3a553039850f7651e83692ed2a33d7b6f4157c9a4","observation_id":"938ae9ad-ffa9-4f5d-adda-2c3dedbb7d6f","resolution":{"observed_at":"2026-08-07T05:14:35.592554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.571090Z","title":"Pointnet: Deep learning on point sets for 3d classification and segmentation,","venue":null,"work_id":"85b206b7-c945-45d7-b1cf-9850d58a0169","year":2017},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.726724Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:dee5e8652020b5c668011eec35d85f4aa0dc5c8843dab60757a448ebaf1c43db","observation_id":"e85f8768-8c4a-4f0c-8ee8-6d848e658bc7","resolution":{"observed_at":"2026-08-07T05:14:35.576983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.555816Z","title":"The analysis of permutations,","venue":null,"work_id":"fa6f805d-ce0f-4435-b773-8af84601da2b","year":1975},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.732581Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:92c955d0562ff57fb89e35d037f5f92757f9d92541e6485c8cd51ecf05a68877","observation_id":"ba5ec7c8-a001-42c2-ade4-9abe2456d6f0","resolution":{"observed_at":"2026-08-07T05:14:35.560491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.540735Z","title":null,"venue":null,"work_id":"7d19d97d-8ed4-4494-a266-2c018bdbb553","year":1959},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.738229Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:4831522733e3f037dc983f464ee2ef408bb6816901e851c359aaf5f811ea6bc6","observation_id":"2a506823-c0d9-45ff-9d51-0f06c37dccce","resolution":{"observed_at":"2026-08-07T05:14:35.545646Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.524896Z","title":"Symmetricdiffusers: Learning discrete diffusion on finite symmetric groups,","venue":null,"work_id":"2a5695db-fe5c-4098-8c8d-9219bc0cfb3b","year":2025},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.743544Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:8a7396e0e2ff6125c00c8302a259a4341f2f76bb0d21e2069a64119512981578","observation_id":"9cedd26c-0796-45a6-8075-b83b79ffd4c3","resolution":{"observed_at":"2026-08-07T05:14:35.530625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.508715Z","title":"Recoat: A deep learning-based framework for multi-modal motion prediction in autonomous driving application,","venue":null,"work_id":"e3848f7f-b5eb-47b9-8d41-0546e448baf1","year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.749185Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:46963be37feec9d0d0ce16ea334e168f5924c047740eb115bed12ceca65978b7","observation_id":"0f29c5b6-1840-485d-b893-30f918bf64a1","resolution":{"observed_at":"2026-08-07T05:14:35.514410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.492208Z","title":"Controlmtr: Control-guided motion transformer with scene-compliant intention points for feasible motion prediction,","venue":null,"work_id":"f8536011-8568-4a79-8213-70461325b27e","year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.754197Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:c221a1158fe7565f923fdd77c0d3591161508067a42721e44394cc158fec6fca","observation_id":"675c8f38-cfb3-4a78-945c-15fe39294b57","resolution":{"observed_at":"2026-08-07T05:14:35.498154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:34.759593Z","title":"Decoupled weight decay regularization,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.759593Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:66a181430e1c5d3386bbce7a1b354fc3422e4b6c59695157c94be73e61bcba67","observation_id":"a668943c-1559-4e55-a546-321b01f8ba48","resolution":{"observed_at":"2026-08-07T05:14:34.759593Z","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":"2026-08-07T05:14:35.467510Z","title":"Pytorch: An imperative style, high-performance deep learning library,","venue":null,"work_id":"6cc67cb3-0eef-4ce6-9336-9b034499fc9f","year":2019},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.764899Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:ab5df84216dc0168947240224cdded84301a7ce68c504418488830ad6a4e737c","observation_id":"5a0f4dc9-9a27-401c-8419-7818b436fa1f","resolution":{"observed_at":"2026-08-07T05:14:35.472370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.04202","last_updated":"2023-03-01T00:18:33Z","snapshot_observed_at":"2026-08-06T15:11:19.955049Z","submitted_at":"2022-08-08T15:08:40Z","title":"Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.04202","snapshot_observed_at":"2026-08-07T05:14:34.769719Z","title":"Analog bits: Generating discrete data using diffusion models with self-conditioning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.769719Z"},"links":{"cited_paper":"/paper/2208.04202","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:c8fcd12aba61acebd6a111147e4860b04e47c08aec399f9f9659300c74ccecc4","observation_id":"894480e6-58d3-4343-abf7-f22f00fc0640","resolution":{"observed_at":"2026-08-07T05:14:34.769719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01646","last_updated":"2024-06-19T04:48:13Z","snapshot_observed_at":"2026-07-06T15:50:06.784435Z","submitted_at":"2023-07-04T10:58:42Z","title":"SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01646","snapshot_observed_at":"2026-08-07T05:14:34.775259Z","title":"Swingnn: Rethink- ing permutation invariance in diffusion models for graph generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.775259Z"},"links":{"cited_paper":"/paper/2307.01646","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:37326d9f54fc20549a6e3ecd8931c5bf8c7a24c948d56ef98dd4377f44b0aaf1","observation_id":"8be9468f-c827-492b-84d6-ffd6b17ee269","resolution":{"observed_at":"2026-08-07T05:14:34.775259Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01130","last_updated":"2025-08-02T05:00:21Z","snapshot_observed_at":"2026-08-05T17:09:35.132328Z","submitted_at":"2024-01-02T10:10:29Z","title":"Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models","version":2},"cited_work":{"arxiv_id":"2401.01130","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.01130","snapshot_observed_at":"2026-08-07T05:14:35.095140Z","title":"Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models","venue":"cs.CV","work_id":"ba0fd27d-42d7-4a07-8d64-27013061c12d","year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.780679Z"},"links":{"cited_paper":"/paper/2401.01130","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:96ac62ee5ebc4a62d43a10465901fd478c33e8cb00749c844a0a894018d3b033","observation_id":"f0b84632-51a0-42d2-b50c-82d21bb260c8","resolution":{"observed_at":"2026-08-07T05:14:35.099988Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13109","last_updated":"2026-05-20T05:16:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-17T17:24:23Z","title":"UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.13109","snapshot_observed_at":"2026-08-07T05:14:34.785770Z","title":"Uniedit-flow: Unleash- ing inversion and editing in the era of flow models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.785770Z"},"links":{"cited_paper":"/paper/2504.13109","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:47bbe99868c7c98897f0dca80ce352999605269da61721dfa470dff4731c16ee","observation_id":"027c494d-2d9a-472a-8f1c-c5df75abbe01","resolution":{"observed_at":"2026-08-07T05:14:34.785770Z","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":"2503.12015","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:14:35.051030Z","title":"Qdm: Quadtree- based region-adaptive sparse diffusion models for efficient image super-resolution,","venue":null,"work_id":"3cbe56f1-7176-4c5d-9f23-f57246d82185","year":2025},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.791159Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:72e7bf28ed763f2d8abd86fce665ca945f8dc89a3254c1cae837c63f74291364","observation_id":"e7881a10-589a-49b2-90a6-c85a5eae543c","resolution":{"observed_at":"2026-08-07T05:14:35.061054Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.452998Z","title":"Score-based generative modeling through stochastic differential equations,","venue":null,"work_id":"c49e9ea0-7fe9-4ac2-9b6f-c0b6d9f55364","year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.796657Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:6cbda1875265259396ca0bb57dddb00a509bf8500f8146e38d2109609cf356c4","observation_id":"55116df9-c99b-4a4b-83bc-7f782759e397","resolution":{"observed_at":"2026-08-07T05:14:35.457837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.436848Z","title":"Elucidating the design space of diffusion-based generative models,","venue":null,"work_id":"f9c324f1-60bd-4309-a08f-21e2ea90b264","year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.802142Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:d6ecc2ff6cf32a10ab17aba8ac1c2c3c0451f6beda0272daed41592c7bf28b58","observation_id":"6813da13-1551-4212-8c75-00d1360713ff","resolution":{"observed_at":"2026-08-07T05:14:35.442195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03150","last_updated":"2024-11-17T00:40:09Z","snapshot_observed_at":"2026-07-06T18:10:12.621492Z","submitted_at":"2024-05-06T04:01:42Z","title":"Video Diffusion Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03150","snapshot_observed_at":"2026-08-07T05:14:34.806499Z","title":"Video diffusion models: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.806499Z"},"links":{"cited_paper":"/paper/2405.03150","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:3d5c60e1af91541ad361f0b2524d3d1448a51a7b46f1442ccfc655785e686c6b","observation_id":"686b27ee-3e8b-441f-adb7-7f7ed277706b","resolution":{"observed_at":"2026-08-07T05:14:34.806499Z","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":"2026-08-07T05:14:35.421858Z","title":"Multi-modal interactive agent trajec- tory prediction using heterogeneous edge-enhanced graph attention network,","venue":null,"work_id":"af19276f-aeb9-4600-8322-fc2059fcf202","year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.811050Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:5d2bfc6d6f3382019647e15bac4ff16f097246574ee3e81bc63f7975b1746452","observation_id":"4f411788-2517-449d-ad34-9db9f8180e8a","resolution":{"observed_at":"2026-08-07T05:14:35.426969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.08184","last_updated":"2021-11-16T01:58:30Z","snapshot_observed_at":"2026-08-03T20:01:40.795548Z","submitted_at":"2021-11-16T01:58:30Z","title":"$AIR^2$ for Interaction Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.08184","snapshot_observed_at":"2026-08-07T05:14:34.816281Z","title":"AIR 2 for interaction prediction,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.816281Z"},"links":{"cited_paper":"/paper/2111.08184","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:13cc3314f42083dfd7dff3c261383600f7fc096357ce44652b8a6e6fec99bc08","observation_id":"836fec48-b9f7-4e85-880f-7a695bdcf9d8","resolution":{"observed_at":"2026-08-07T05:14:34.816281Z","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":"2026-08-07T05:14:34.821098Z","title":"M2i: From factored marginal trajectory prediction to interactive prediction,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.821098Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:b618f4649d9ab86e9bd3354c5a3ae410df7d7318998815b7d8cb82f112612e2e","observation_id":"c64124b0-84fc-42a8-ae3d-6f8553e9a507","resolution":{"observed_at":"2026-08-07T05:14:34.821098Z","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":"2026-08-07T05:14:34.826363Z","title":"Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.826363Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:4659870d58ac617f6e8e3b12e6e0f38afdc9078e0f9167ab72a2980e980ee2d5","observation_id":"03e41e58-7383-40e3-b8d9-ac99ccc88d2e","resolution":{"observed_at":"2026-08-07T05:14:34.826363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13331","last_updated":"2024-03-21T04:01:10Z","snapshot_observed_at":"2026-07-31T02:36:16.972993Z","submitted_at":"2024-03-20T06:22:37Z","title":"AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.13331","snapshot_observed_at":"2026-08-07T05:14:34.831703Z","title":"Amp: Autoregressive motion prediction revisited with next token prediction for autonomous driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.831703Z"},"links":{"cited_paper":"/paper/2403.13331","citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:d8a41838862683ecdb61afefe9401ad1d1f95310eb282bb191d2c98d9064df69","observation_id":"76326592-4d5b-4311-8493-1e256b3b11ec","resolution":{"observed_at":"2026-08-07T05:14:34.831703Z","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":"2026-08-07T05:14:35.387774Z","title":null,"venue":null,"work_id":"1a8e50c5-604f-4d46-a5c7-23d0a1acb57c","year":null},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.837552Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:31b0e4d7c1cac0261bc2c2961f00a4d772e5666499dd8cc9032c0c222b81ca8b","observation_id":"3c756f34-9068-4567-86f5-dd31562901d9","resolution":{"observed_at":"2026-08-07T05:14:35.392547Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.372014Z","title":"The context encoder has 6 layers, an embedding dimension of 256, and 8 attention heads","venue":null,"work_id":"dacf68b9-5f98-4f36-b591-e28e9a1c632a","year":1939},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.842401Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:07afe4b7181b29fff4d4849d2c6bcc682777b5acd96136a962655021b21fee79","observation_id":"477e2499-0dee-45a0-87d8-a381fa8b4591","resolution":{"observed_at":"2026-08-07T05:14:35.377403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.251764Z","title":"IV, covering both the standard val- idation and test splits, as well as the interactive validation and test sets","venue":null,"work_id":"6b633865-ecd3-4c5e-9c6b-a6e6392ddfc2","year":null},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.847903Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:cc1216ca0a43cb6336cdf1828931392efcb01af563074ab21d25b883ecfd6c74","observation_id":"5392506a-ab52-4843-9054-5aacb2979132","resolution":{"observed_at":"2026-08-07T05:14:35.256441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.236016Z","title":"V, comparing MTR [19] and our method on the WOMD validation set, which consists of 44,097 agents, using the same hardware (NVIDIA A100 80GB)","venue":null,"work_id":"62a3c27f-9746-41e9-b288-7e49826122e7","year":null},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.853203Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:645c5d11ea5351f0d9613aa45a2e9a3e638f08709c60b6be7a6a73b1e513e52e","observation_id":"b3151ed8-60a0-4de2-a083-6c4078e5d221","resolution":{"observed_at":"2026-08-07T05:14:35.241208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.219782Z","title":"4 and Fig","venue":null,"work_id":"a0e58b23-f8dd-4193-aaf4-6f4981ee34a8","year":null},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.858931Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:0109207eb2cd8ffd038a93d8f4988338198b4a35ff180b20ca624562ce1d20b8","observation_id":"2a3f7ba2-5d09-4c8a-90f9-d25d21973289","resolution":{"observed_at":"2026-08-07T05:14:35.225324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:14:35.205091Z","title":"However, its reliability in edge cases—such as rare behaviors or complex interactions—remains an open question","venue":null,"work_id":"4d73b8e3-c976-4539-b261-1e667b4319f8","year":null},"citing_paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:34.864386Z"},"links":{"citing_paper":"/paper/2506.08541"},"observation_digest":"sha256:7a8e616c8bf4aab6e01afa462e724587dd4e646c70bfeb9859b2e8303160ca7c","observation_id":"e0100aa4-920f-4726-b21e-e846c7ccfc72","resolution":{"observed_at":"2026-08-07T05:14:35.209913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.08541","last_updated":"2025-07-05T09:04:57Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T05:05:21.366726Z","submitted_at":"2025-06-10T08:08:31Z","title":"TrajFlow: Multi-modal Motion Prediction via Flow Matching"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":3,"verified_fuzzy":45},"total_outbound_references":65},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2506.08541."}