{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ECQPTH4MGAUDBP6HOU6J26YIWH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"80dad6e11e9ebfc206821eac29d357f19ffd9b31cf476505f8ea63f262b9bc0d","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-18T10:35:15Z","title_canon_sha256":"5d9e489c92213e6d748746d12ea38e9d3d6ec006bfe7fe0a1c548031cfae6a61"},"schema_version":"1.0","source":{"id":"2403.11643","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.11643","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"arxiv_version","alias_value":"2403.11643v1","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.11643","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"pith_short_12","alias_value":"ECQPTH4MGAUD","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"pith_short_16","alias_value":"ECQPTH4MGAUDBP6H","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"pith_short_8","alias_value":"ECQPTH4M","created_at":"2026-07-05T07:57:19Z"}],"graph_snapshots":[{"event_id":"sha256:81460216745cde63b084796b6f7f3b426ab53285806a73b8f54e93e4130ad11a","target":"graph","created_at":"2026-07-05T07:57:19Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2403.11643/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The ability to predict the future trajectories of traffic participants is crucial for the safe and efficient operation of autonomous vehicles. In this paper, a diffusion-based generative model for multi-agent trajectory prediction is proposed. The model is capable of capturing the complex interactions between traffic participants and the environment, accurately learning the multimodal nature of the data. The effectiveness of the approach is assessed on large-scale datasets of real-world traffic scenarios, showing that our model outperforms several well-established methods in terms of predictio","authors_text":"Bj\\\"orn Olofsson, Erik Frisk, Theodor Westny","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-18T10:35:15Z","title":"Diffusion-Based Environment-Aware Trajectory Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.11643","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f8ddb4ede97138c3c6e478e117ffc1bd3390c90eb0a2e9c0034aa837a925b534","target":"record","created_at":"2026-07-05T07:57:19Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"80dad6e11e9ebfc206821eac29d357f19ffd9b31cf476505f8ea63f262b9bc0d","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-18T10:35:15Z","title_canon_sha256":"5d9e489c92213e6d748746d12ea38e9d3d6ec006bfe7fe0a1c548031cfae6a61"},"schema_version":"1.0","source":{"id":"2403.11643","kind":"arxiv","version":1}},"canonical_sha256":"20a0f99f8c302830bfc7753c9d7b08b1f393702251321a354d944a8c6395a87e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20a0f99f8c302830bfc7753c9d7b08b1f393702251321a354d944a8c6395a87e","first_computed_at":"2026-07-05T07:57:19.412762Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:57:19.412762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"crWG4HoWlQtywLJEJ7Qg2IY1UooA/38sAxAfGuyPqa7KLVylPfdzvWbB4CZLnGSxgL2YMWMk8xvpAB64UNpFAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:57:19.413189Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.11643","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f8ddb4ede97138c3c6e478e117ffc1bd3390c90eb0a2e9c0034aa837a925b534","sha256:81460216745cde63b084796b6f7f3b426ab53285806a73b8f54e93e4130ad11a"],"state_sha256":"fd14cc9b5d6622b5fbac9e74853a90abf86c713fc97eeb9145d1d001fc31a0b1"}