{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PQBNWM2NDGNCLVDBFZFM65N5Q3","short_pith_number":"pith:PQBNWM2N","canonical_record":{"source":{"id":"2508.15336","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-21T08:08:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"af3f3c87fd102d11eb7e51f3ae5492c3f800c34b7acd4712df58234b21c75890","abstract_canon_sha256":"964feed6e1d2b6254851055cf6dc2104341e4ff1bcdd4cdd5648b1c20b8f0ef1"},"schema_version":"1.0"},"canonical_sha256":"7c02db334d199a25d4612e4acf75bd86dc02545deffab1519a05a0e81caa5447","source":{"kind":"arxiv","id":"2508.15336","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.15336","created_at":"2026-07-05T11:57:10Z"},{"alias_kind":"arxiv_version","alias_value":"2508.15336v1","created_at":"2026-07-05T11:57:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.15336","created_at":"2026-07-05T11:57:10Z"},{"alias_kind":"pith_short_12","alias_value":"PQBNWM2NDGNC","created_at":"2026-07-05T11:57:10Z"},{"alias_kind":"pith_short_16","alias_value":"PQBNWM2NDGNCLVDB","created_at":"2026-07-05T11:57:10Z"},{"alias_kind":"pith_short_8","alias_value":"PQBNWM2N","created_at":"2026-07-05T11:57:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PQBNWM2NDGNCLVDBFZFM65N5Q3","target":"record","payload":{"canonical_record":{"source":{"id":"2508.15336","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-21T08:08:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"af3f3c87fd102d11eb7e51f3ae5492c3f800c34b7acd4712df58234b21c75890","abstract_canon_sha256":"964feed6e1d2b6254851055cf6dc2104341e4ff1bcdd4cdd5648b1c20b8f0ef1"},"schema_version":"1.0"},"canonical_sha256":"7c02db334d199a25d4612e4acf75bd86dc02545deffab1519a05a0e81caa5447","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:10.422477Z","signature_b64":"x9CT+Gudt9oG31lR5BoseBeF7JGsi1atSwK1+nipZwh+m5xUteWlJhSRZ0kWKU4Cqx8IRcNbLJ7OFGKFivGjAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c02db334d199a25d4612e4acf75bd86dc02545deffab1519a05a0e81caa5447","last_reissued_at":"2026-07-05T11:57:10.422006Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:10.422006Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.15336","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":"2026-07-05T11:57:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BCzM14KM8I1z0DTT+Bb8zIUTMnEOz+Fsh+AZn8KYakNES9y0BCleXkcbplSOTusKlV03TqzKhLH3mdUNpNFCAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T04:00:51.910603Z"},"content_sha256":"277317abffe413aedcbd3023ae982c9472e4cf42ae609aa1243764c0c596f8be","schema_version":"1.0","event_id":"sha256:277317abffe413aedcbd3023ae982c9472e4cf42ae609aa1243764c0c596f8be"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PQBNWM2NDGNCLVDBFZFM65N5Q3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Agniva Roy, Jaydip Sen, Preetam Saha, Subhasis Dasgupta","submitted_at":"2025-08-21T08:08:50Z","abstract_excerpt":"The world is constantly moving towards AI based systems and autonomous vehicles are now reality in different parts of the world. These vehicles require sensors and cameras to detect objects and maneuver according to that. It becomes important to for such vehicles to also predict from a distant if a person is about to cross a road or not. The current study focused on predicting the intent of crossing the road by pedestrians in an experimental setup. The study involved working with deep learning models to predict poses and sequence modelling for temporal predictions. The study analysed three dif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.15336","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/2508.15336/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":"2026-07-05T11:57:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A4livLMaGnQpbcyvs4tTILkZnJmDNVbtcIolTyPM9Ykh4+NwvJBfRwHlfhoQpvN+eF+YX8iXaEHwmFReInUiDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T04:00:51.911115Z"},"content_sha256":"cff10cac84c42e61213b09a8fcc7cfa0612bb5cbba893737dab261fe302cb8c7","schema_version":"1.0","event_id":"sha256:cff10cac84c42e61213b09a8fcc7cfa0612bb5cbba893737dab261fe302cb8c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PQBNWM2NDGNCLVDBFZFM65N5Q3/bundle.json","state_url":"https://pith.science/pith/PQBNWM2NDGNCLVDBFZFM65N5Q3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PQBNWM2NDGNCLVDBFZFM65N5Q3/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":"2026-08-20T04:00:51Z","links":{"resolver":"https://pith.science/pith/PQBNWM2NDGNCLVDBFZFM65N5Q3","bundle":"https://pith.science/pith/PQBNWM2NDGNCLVDBFZFM65N5Q3/bundle.json","state":"https://pith.science/pith/PQBNWM2NDGNCLVDBFZFM65N5Q3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PQBNWM2NDGNCLVDBFZFM65N5Q3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PQBNWM2NDGNCLVDBFZFM65N5Q3","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":"964feed6e1d2b6254851055cf6dc2104341e4ff1bcdd4cdd5648b1c20b8f0ef1","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-21T08:08:50Z","title_canon_sha256":"af3f3c87fd102d11eb7e51f3ae5492c3f800c34b7acd4712df58234b21c75890"},"schema_version":"1.0","source":{"id":"2508.15336","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.15336","created_at":"2026-07-05T11:57:10Z"},{"alias_kind":"arxiv_version","alias_value":"2508.15336v1","created_at":"2026-07-05T11:57:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.15336","created_at":"2026-07-05T11:57:10Z"},{"alias_kind":"pith_short_12","alias_value":"PQBNWM2NDGNC","created_at":"2026-07-05T11:57:10Z"},{"alias_kind":"pith_short_16","alias_value":"PQBNWM2NDGNCLVDB","created_at":"2026-07-05T11:57:10Z"},{"alias_kind":"pith_short_8","alias_value":"PQBNWM2N","created_at":"2026-07-05T11:57:10Z"}],"graph_snapshots":[{"event_id":"sha256:cff10cac84c42e61213b09a8fcc7cfa0612bb5cbba893737dab261fe302cb8c7","target":"graph","created_at":"2026-07-05T11:57:10Z","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/2508.15336/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The world is constantly moving towards AI based systems and autonomous vehicles are now reality in different parts of the world. These vehicles require sensors and cameras to detect objects and maneuver according to that. It becomes important to for such vehicles to also predict from a distant if a person is about to cross a road or not. The current study focused on predicting the intent of crossing the road by pedestrians in an experimental setup. The study involved working with deep learning models to predict poses and sequence modelling for temporal predictions. The study analysed three dif","authors_text":"Agniva Roy, Jaydip Sen, Preetam Saha, Subhasis Dasgupta","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-21T08:08:50Z","title":"Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.15336","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":"sha256:277317abffe413aedcbd3023ae982c9472e4cf42ae609aa1243764c0c596f8be","target":"record","created_at":"2026-07-05T11:57:10Z","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":"964feed6e1d2b6254851055cf6dc2104341e4ff1bcdd4cdd5648b1c20b8f0ef1","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-21T08:08:50Z","title_canon_sha256":"af3f3c87fd102d11eb7e51f3ae5492c3f800c34b7acd4712df58234b21c75890"},"schema_version":"1.0","source":{"id":"2508.15336","kind":"arxiv","version":1}},"canonical_sha256":"7c02db334d199a25d4612e4acf75bd86dc02545deffab1519a05a0e81caa5447","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c02db334d199a25d4612e4acf75bd86dc02545deffab1519a05a0e81caa5447","first_computed_at":"2026-07-05T11:57:10.422006Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:10.422006Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x9CT+Gudt9oG31lR5BoseBeF7JGsi1atSwK1+nipZwh+m5xUteWlJhSRZ0kWKU4Cqx8IRcNbLJ7OFGKFivGjAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:10.422477Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.15336","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:277317abffe413aedcbd3023ae982c9472e4cf42ae609aa1243764c0c596f8be","sha256:cff10cac84c42e61213b09a8fcc7cfa0612bb5cbba893737dab261fe302cb8c7"],"state_sha256":"1b7a87e9e9fe6c462072de4daa501df2ea12cad24978349e8decc630bb951a77"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FQ12I6CGfJhT70bRcnyXu0wx93mtSGv4M0YNLdX7onVA3lRrwf4ROn1dTrkBU0VThAUgkMzKr4YrVWXJv+DgCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T04:00:51.916611Z","bundle_sha256":"242403f054d815c54565b96c54d11d34be419c5458b5eea56675d73e76f7848b"}}