{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AYUIX3N4JGN4KQXBXUYM3O3TCE","short_pith_number":"pith:AYUIX3N4","canonical_record":{"source":{"id":"2403.19026","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T21:43:12Z","cross_cats_sorted":[],"title_canon_sha256":"bfbeb26844285590c249cb418e6212ed37d91d40f74f7e8dfc0a53e1f4136553","abstract_canon_sha256":"f8a8914bbd706f70fa4e501e5942cb3a75bd1c5b7fa1ff2df8e2927a0178500c"},"schema_version":"1.0"},"canonical_sha256":"06288bedbc499bc542e1bd30cdbb73112cf78ed6d298f19cfee1ea70c472299f","source":{"kind":"arxiv","id":"2403.19026","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.19026","created_at":"2026-07-05T08:52:52Z"},{"alias_kind":"arxiv_version","alias_value":"2403.19026v3","created_at":"2026-07-05T08:52:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.19026","created_at":"2026-07-05T08:52:52Z"},{"alias_kind":"pith_short_12","alias_value":"AYUIX3N4JGN4","created_at":"2026-07-05T08:52:52Z"},{"alias_kind":"pith_short_16","alias_value":"AYUIX3N4JGN4KQXB","created_at":"2026-07-05T08:52:52Z"},{"alias_kind":"pith_short_8","alias_value":"AYUIX3N4","created_at":"2026-07-05T08:52:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AYUIX3N4JGN4KQXBXUYM3O3TCE","target":"record","payload":{"canonical_record":{"source":{"id":"2403.19026","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T21:43:12Z","cross_cats_sorted":[],"title_canon_sha256":"bfbeb26844285590c249cb418e6212ed37d91d40f74f7e8dfc0a53e1f4136553","abstract_canon_sha256":"f8a8914bbd706f70fa4e501e5942cb3a75bd1c5b7fa1ff2df8e2927a0178500c"},"schema_version":"1.0"},"canonical_sha256":"06288bedbc499bc542e1bd30cdbb73112cf78ed6d298f19cfee1ea70c472299f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:52:52.950246Z","signature_b64":"a0xpIHbhI+kOPU+QDF667drBSJ2mPX11rUBhInUrjIrk04fjFFwues7buoTzBKAz/wM+hiXEAOsVmazS7icGCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06288bedbc499bc542e1bd30cdbb73112cf78ed6d298f19cfee1ea70c472299f","last_reissued_at":"2026-07-05T08:52:52.949826Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:52:52.949826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.19026","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:52:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0IntHwiRn4wGWBpxrqaxd5yPW5QTGuBYbpjDsLPC9RYFVzxcpaZONNYBkg1vMPaeQEjtbo8RhB8vxq65qU/EAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:22:39.048669Z"},"content_sha256":"99c4eed4872d012666dc1ef534f5b2a72570928194787c8ec67dfefc2b78f903","schema_version":"1.0","event_id":"sha256:99c4eed4872d012666dc1ef534f5b2a72570928194787c8ec67dfefc2b78f903"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AYUIX3N4JGN4KQXBXUYM3O3TCE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EgoNav: Egocentric Scene-aware Human Trajectory Prediction","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"C. Karen Liu, Monroe Kennedy III, Weizhuo Wang","submitted_at":"2024-03-27T21:43:12Z","abstract_excerpt":"Wearable collaborative robots stand to assist human wearers who need fall prevention assistance or wear exoskeletons. Such a robot needs to be able to constantly adapt to the surrounding scene based on egocentric vision, and predict the ego motion of the wearer. In this work, we leveraged body-mounted cameras and sensors to anticipate the trajectory of human wearers through complex surroundings. To facilitate research in ego-motion prediction, we have collected a comprehensive walking scene navigation dataset centered on the user's perspective. We then present a method to predict human motion "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.19026","kind":"arxiv","version":3},"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/2403.19026/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":"2026-07-05T08:52:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pXXmWLVF02pw/Z5XPAWGZYdG2MQHDpJWlDVTHsI+r/geAbjPtTA2LE2zaqfrLI0ZbmRYZs5WUhJDgVpjbStpCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:22:39.049267Z"},"content_sha256":"a145523a568b7073e0c10ba767a2d833636372215db233afd5c8647c228ac021","schema_version":"1.0","event_id":"sha256:a145523a568b7073e0c10ba767a2d833636372215db233afd5c8647c228ac021"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AYUIX3N4JGN4KQXBXUYM3O3TCE/bundle.json","state_url":"https://pith.science/pith/AYUIX3N4JGN4KQXBXUYM3O3TCE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AYUIX3N4JGN4KQXBXUYM3O3TCE/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":"2026-08-09T21:22:39Z","links":{"resolver":"https://pith.science/pith/AYUIX3N4JGN4KQXBXUYM3O3TCE","bundle":"https://pith.science/pith/AYUIX3N4JGN4KQXBXUYM3O3TCE/bundle.json","state":"https://pith.science/pith/AYUIX3N4JGN4KQXBXUYM3O3TCE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AYUIX3N4JGN4KQXBXUYM3O3TCE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AYUIX3N4JGN4KQXBXUYM3O3TCE","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":"f8a8914bbd706f70fa4e501e5942cb3a75bd1c5b7fa1ff2df8e2927a0178500c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T21:43:12Z","title_canon_sha256":"bfbeb26844285590c249cb418e6212ed37d91d40f74f7e8dfc0a53e1f4136553"},"schema_version":"1.0","source":{"id":"2403.19026","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.19026","created_at":"2026-07-05T08:52:52Z"},{"alias_kind":"arxiv_version","alias_value":"2403.19026v3","created_at":"2026-07-05T08:52:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.19026","created_at":"2026-07-05T08:52:52Z"},{"alias_kind":"pith_short_12","alias_value":"AYUIX3N4JGN4","created_at":"2026-07-05T08:52:52Z"},{"alias_kind":"pith_short_16","alias_value":"AYUIX3N4JGN4KQXB","created_at":"2026-07-05T08:52:52Z"},{"alias_kind":"pith_short_8","alias_value":"AYUIX3N4","created_at":"2026-07-05T08:52:52Z"}],"graph_snapshots":[{"event_id":"sha256:a145523a568b7073e0c10ba767a2d833636372215db233afd5c8647c228ac021","target":"graph","created_at":"2026-07-05T08:52:52Z","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/2403.19026/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Wearable collaborative robots stand to assist human wearers who need fall prevention assistance or wear exoskeletons. Such a robot needs to be able to constantly adapt to the surrounding scene based on egocentric vision, and predict the ego motion of the wearer. In this work, we leveraged body-mounted cameras and sensors to anticipate the trajectory of human wearers through complex surroundings. To facilitate research in ego-motion prediction, we have collected a comprehensive walking scene navigation dataset centered on the user's perspective. We then present a method to predict human motion ","authors_text":"C. Karen Liu, Monroe Kennedy III, Weizhuo Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T21:43:12Z","title":"EgoNav: Egocentric Scene-aware Human Trajectory Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.19026","kind":"arxiv","version":3},"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":"sha256:99c4eed4872d012666dc1ef534f5b2a72570928194787c8ec67dfefc2b78f903","target":"record","created_at":"2026-07-05T08:52:52Z","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":"f8a8914bbd706f70fa4e501e5942cb3a75bd1c5b7fa1ff2df8e2927a0178500c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T21:43:12Z","title_canon_sha256":"bfbeb26844285590c249cb418e6212ed37d91d40f74f7e8dfc0a53e1f4136553"},"schema_version":"1.0","source":{"id":"2403.19026","kind":"arxiv","version":3}},"canonical_sha256":"06288bedbc499bc542e1bd30cdbb73112cf78ed6d298f19cfee1ea70c472299f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06288bedbc499bc542e1bd30cdbb73112cf78ed6d298f19cfee1ea70c472299f","first_computed_at":"2026-07-05T08:52:52.949826Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:52:52.949826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a0xpIHbhI+kOPU+QDF667drBSJ2mPX11rUBhInUrjIrk04fjFFwues7buoTzBKAz/wM+hiXEAOsVmazS7icGCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:52:52.950246Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.19026","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:99c4eed4872d012666dc1ef534f5b2a72570928194787c8ec67dfefc2b78f903","sha256:a145523a568b7073e0c10ba767a2d833636372215db233afd5c8647c228ac021"],"state_sha256":"9d3e121d66b6a336ce803018afed27d48b22c5b2962f133e7c43e02b3bf77c66"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8J1N/CW0ZbBkuQWzw9fYRYAe2Obal0FevqAp6GdC17SL/8xuWuon7ktx2bx4FvGkdK2HxtaEWJQreF/Ue7DlCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T21:22:39.053185Z","bundle_sha256":"8bf867a7bfb7bee19a783d0f0b0bbae1701dc1ceb63a025c5b525d7c015eb201"}}