{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:NBI5R2INGFCNSTUL3I4HZHUW44","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":"307aeedaf2bbe3b12c7666a272f12299974819af6a5e53a7f7ec818298ed6e43","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2018-12-12T01:36:50Z","title_canon_sha256":"88e6d4736bc053864e41e2663a23314e2232262a315efcab8b1e566977f9be57"},"schema_version":"1.0","source":{"id":"1812.04767","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.04767","created_at":"2026-07-05T03:02:05Z"},{"alias_kind":"arxiv_version","alias_value":"1812.04767v4","created_at":"2026-07-05T03:02:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.04767","created_at":"2026-07-05T03:02:05Z"},{"alias_kind":"pith_short_12","alias_value":"NBI5R2INGFCN","created_at":"2026-07-05T03:02:05Z"},{"alias_kind":"pith_short_16","alias_value":"NBI5R2INGFCNSTUL","created_at":"2026-07-05T03:02:05Z"},{"alias_kind":"pith_short_8","alias_value":"NBI5R2IN","created_at":"2026-07-05T03:02:05Z"}],"graph_snapshots":[{"event_id":"sha256:d6864d6fb8fa22d25c40b0de2f8acd55f0821ca47dd9e8c298277df1c353a5d8","target":"graph","created_at":"2026-07-05T03:02:05Z","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/1812.04767/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a new algorithm for predicting the near-term trajectories of road-agents in dense traffic videos. Our approach is designed for heterogeneous traffic, where the road-agents may correspond to buses, cars, scooters, bicycles, or pedestrians. We model the interactions between different road-agents using a novel LSTM-CNN hybrid network for trajectory prediction. In particular, we take into account heterogeneous interactions that implicitly accounts for the varying shapes, dynamics, and behaviors of different road agents. In addition, we model horizon-based interactions which are used to ","authors_text":"Aniket Bera, Dinesh Manocha, Rohan Chandra, Uttaran Bhattacharya","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2018-12-12T01:36:50Z","title":"TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.04767","kind":"arxiv","version":4},"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":"sha256:04aebe0d1a18854d961240e54028d2b95fbc364827f9b3a5a82b6ff55dda435c","target":"record","created_at":"2026-07-05T03:02:05Z","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":"307aeedaf2bbe3b12c7666a272f12299974819af6a5e53a7f7ec818298ed6e43","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2018-12-12T01:36:50Z","title_canon_sha256":"88e6d4736bc053864e41e2663a23314e2232262a315efcab8b1e566977f9be57"},"schema_version":"1.0","source":{"id":"1812.04767","kind":"arxiv","version":4}},"canonical_sha256":"6851d8e90d3144d94e8bda387c9e96e728a606521ca7773c8df8dd1ca19a5a7a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6851d8e90d3144d94e8bda387c9e96e728a606521ca7773c8df8dd1ca19a5a7a","first_computed_at":"2026-07-05T03:02:05.643352Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:02:05.643352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T72oNlD+sWyB90HNguRAZvJmATtF8CwDTB4FnedusJXIYGgKgraCCar0mo+zZBkMFDGgfIynZ1FSTZH9GOB0CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:02:05.643855Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.04767","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04aebe0d1a18854d961240e54028d2b95fbc364827f9b3a5a82b6ff55dda435c","sha256:d6864d6fb8fa22d25c40b0de2f8acd55f0821ca47dd9e8c298277df1c353a5d8"],"state_sha256":"189c065d34d5e026c4b20e9dca59d06f3fbc3a869e242e816b9bb5df5d113bfe"}