{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:JANXQJNHHNT62ISR43LXZUZLCQ","short_pith_number":"pith:JANXQJNH","canonical_record":{"source":{"id":"2411.16457","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-11-25T15:03:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7f54ca8a628cec44897f5f06711e4e5e7f9455793e6e3c7430611c935d478897","abstract_canon_sha256":"513b83f68e59e40cb527c25b46199ff3ee0800e7dde3d99cb56366c1ed2b96c4"},"schema_version":"1.0"},"canonical_sha256":"481b7825a73b67ed2251e6d77cd32b140d20228fd98089cd5e61d6652e03c31e","source":{"kind":"arxiv","id":"2411.16457","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16457","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16457v1","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16457","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"pith_short_12","alias_value":"JANXQJNHHNT6","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"pith_short_16","alias_value":"JANXQJNHHNT62ISR","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"pith_short_8","alias_value":"JANXQJNH","created_at":"2026-07-05T09:40:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:JANXQJNHHNT62ISR43LXZUZLCQ","target":"record","payload":{"canonical_record":{"source":{"id":"2411.16457","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-11-25T15:03:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7f54ca8a628cec44897f5f06711e4e5e7f9455793e6e3c7430611c935d478897","abstract_canon_sha256":"513b83f68e59e40cb527c25b46199ff3ee0800e7dde3d99cb56366c1ed2b96c4"},"schema_version":"1.0"},"canonical_sha256":"481b7825a73b67ed2251e6d77cd32b140d20228fd98089cd5e61d6652e03c31e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:09.612310Z","signature_b64":"/AyRc3WvEu4IG6EnYFIkUyRu2dPDUmO9/R1jqkGqxwyIhPSF4C6PtJOCV8w+b9fGGKxuXShlwTpejcfT8e10Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"481b7825a73b67ed2251e6d77cd32b140d20228fd98089cd5e61d6652e03c31e","last_reissued_at":"2026-07-05T09:40:09.611837Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:09.611837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.16457","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:40:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yfr1uIAJ/etJGMziPOiPjDL2VWuT8WZMoE3eEeBWyaNGYOfbluzM4WrYfB3vwYmktn4hRwUSPGnnImkoFNTkBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T07:07:27.998798Z"},"content_sha256":"31ae3fdbb44ecf6dd7efbc8fff7fd22a2ba9f45c17ceac3b9fcd39ec18eb5488","schema_version":"1.0","event_id":"sha256:31ae3fdbb44ecf6dd7efbc8fff7fd22a2ba9f45c17ceac3b9fcd39ec18eb5488"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:JANXQJNHHNT62ISR43LXZUZLCQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Haoming Li","submitted_at":"2024-11-25T15:03:44Z","abstract_excerpt":"In this paper, we present a novel trajectory prediction model for autonomous driving, combining a Characterized Diffusion Module and a Spatial-Temporal Interaction Network to address the challenges posed by dynamic and heterogeneous traffic environments. Our model enhances the accuracy and reliability of trajectory predictions by incorporating uncertainty estimation and complex agent interactions. Through extensive experimentation on public datasets such as NGSIM, HighD, and MoCAD, our model significantly outperforms existing state-of-the-art methods. We demonstrate its ability to capture the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16457","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.16457/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:40:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"buu7KIYr8LUhDrEZVblKFawJxl8Q0bQoLB3trqeLOt/P8qMYooxzLFC2C5fRPCfrUGJWLrciGYMLMUMVmen4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T07:07:27.999309Z"},"content_sha256":"b4a372508bf0941accd0a73f515ba2de57ae0a7b0b01413d7ba7ed6ad02a17d2","schema_version":"1.0","event_id":"sha256:b4a372508bf0941accd0a73f515ba2de57ae0a7b0b01413d7ba7ed6ad02a17d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JANXQJNHHNT62ISR43LXZUZLCQ/bundle.json","state_url":"https://pith.science/pith/JANXQJNHHNT62ISR43LXZUZLCQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JANXQJNHHNT62ISR43LXZUZLCQ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-13T07:07:28Z","links":{"resolver":"https://pith.science/pith/JANXQJNHHNT62ISR43LXZUZLCQ","bundle":"https://pith.science/pith/JANXQJNHHNT62ISR43LXZUZLCQ/bundle.json","state":"https://pith.science/pith/JANXQJNHHNT62ISR43LXZUZLCQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JANXQJNHHNT62ISR43LXZUZLCQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JANXQJNHHNT62ISR43LXZUZLCQ","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":"513b83f68e59e40cb527c25b46199ff3ee0800e7dde3d99cb56366c1ed2b96c4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-11-25T15:03:44Z","title_canon_sha256":"7f54ca8a628cec44897f5f06711e4e5e7f9455793e6e3c7430611c935d478897"},"schema_version":"1.0","source":{"id":"2411.16457","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16457","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16457v1","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16457","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"pith_short_12","alias_value":"JANXQJNHHNT6","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"pith_short_16","alias_value":"JANXQJNHHNT62ISR","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"pith_short_8","alias_value":"JANXQJNH","created_at":"2026-07-05T09:40:09Z"}],"graph_snapshots":[{"event_id":"sha256:b4a372508bf0941accd0a73f515ba2de57ae0a7b0b01413d7ba7ed6ad02a17d2","target":"graph","created_at":"2026-07-05T09:40:09Z","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/2411.16457/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present a novel trajectory prediction model for autonomous driving, combining a Characterized Diffusion Module and a Spatial-Temporal Interaction Network to address the challenges posed by dynamic and heterogeneous traffic environments. Our model enhances the accuracy and reliability of trajectory predictions by incorporating uncertainty estimation and complex agent interactions. Through extensive experimentation on public datasets such as NGSIM, HighD, and MoCAD, our model significantly outperforms existing state-of-the-art methods. We demonstrate its ability to capture the ","authors_text":"Haoming Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-11-25T15:03:44Z","title":"Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16457","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":"sha256:31ae3fdbb44ecf6dd7efbc8fff7fd22a2ba9f45c17ceac3b9fcd39ec18eb5488","target":"record","created_at":"2026-07-05T09:40:09Z","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":"513b83f68e59e40cb527c25b46199ff3ee0800e7dde3d99cb56366c1ed2b96c4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-11-25T15:03:44Z","title_canon_sha256":"7f54ca8a628cec44897f5f06711e4e5e7f9455793e6e3c7430611c935d478897"},"schema_version":"1.0","source":{"id":"2411.16457","kind":"arxiv","version":1}},"canonical_sha256":"481b7825a73b67ed2251e6d77cd32b140d20228fd98089cd5e61d6652e03c31e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"481b7825a73b67ed2251e6d77cd32b140d20228fd98089cd5e61d6652e03c31e","first_computed_at":"2026-07-05T09:40:09.611837Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:09.611837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/AyRc3WvEu4IG6EnYFIkUyRu2dPDUmO9/R1jqkGqxwyIhPSF4C6PtJOCV8w+b9fGGKxuXShlwTpejcfT8e10Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:09.612310Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.16457","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31ae3fdbb44ecf6dd7efbc8fff7fd22a2ba9f45c17ceac3b9fcd39ec18eb5488","sha256:b4a372508bf0941accd0a73f515ba2de57ae0a7b0b01413d7ba7ed6ad02a17d2"],"state_sha256":"799aea8a84169d1d587f3cf495afbf9cc0e49fe1130270485ea0bd44f99196ec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8cL1BTx1h4qZHPMlvaC80YJusWyzdHb46q/jIKBE1dATO0QYOG5BUX/5JctdjKAyLZXN/TMkHiK4b+zGZ0SGAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T07:07:28.004476Z","bundle_sha256":"0c4471888a59772873ad8d81d63e3f18d45d1cce9bcfe9db67809baebe765d33"}}