{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:G67SM7CIJ5D7LIW2SF3EI5F37L","short_pith_number":"pith:G67SM7CI","schema_version":"1.0","canonical_sha256":"37bf267c484f47f5a2da91764474bbfad631ff2d715e37d342161f0718f45f70","source":{"kind":"arxiv","id":"2605.25947","version":1},"attestation_state":"computed","paper":{"title":"A Pedestrian-Vehicle Interaction Benchmark and Annotation Framework for Unstructured Scenes via Uncalibrated Cameras","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haoyang Peng, Ming Yang, Qian Hu, Songan Zhang","submitted_at":"2026-05-25T15:26:18Z","abstract_excerpt":"Predicting the interaction between pedestrian and vehicle is essential for autonomous driving safety in unstructured and semi-structured scenarios; however, this task is severely hindered by the scarcity of public datasets that feature dense pedestrian-vehicle interactions. Most current studies rely on structured road data, leaving the complex, heterogeneous interactions found in unstructured environments insufficiently represented and researched. In this paper, we propose a dataset annotation framework based on video data from uncalibrated surveillance cameras and present PINNS (Pedestrian-ve"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.25947","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T15:26:18Z","cross_cats_sorted":[],"title_canon_sha256":"5511bddea5ff0ece4d1e32e599aec5b8b2d94a6746e7f7991a3751a337856c7d","abstract_canon_sha256":"f6258543bc4dce7265b7620c418b208e5619eafc2c2146fce578730e606fe4a3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:05:19.588696Z","signature_b64":"U31I6DsAtTVPIkJLGBrj0d9kprn/bIXtma+JiRYamebYIYpkREjvS0GwwaC4qLF0AvKOYJziZESxM5nIIIAuCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37bf267c484f47f5a2da91764474bbfad631ff2d715e37d342161f0718f45f70","last_reissued_at":"2026-05-26T02:05:19.587984Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:05:19.587984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Pedestrian-Vehicle Interaction Benchmark and Annotation Framework for Unstructured Scenes via Uncalibrated Cameras","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haoyang Peng, Ming Yang, Qian Hu, Songan Zhang","submitted_at":"2026-05-25T15:26:18Z","abstract_excerpt":"Predicting the interaction between pedestrian and vehicle is essential for autonomous driving safety in unstructured and semi-structured scenarios; however, this task is severely hindered by the scarcity of public datasets that feature dense pedestrian-vehicle interactions. Most current studies rely on structured road data, leaving the complex, heterogeneous interactions found in unstructured environments insufficiently represented and researched. In this paper, we propose a dataset annotation framework based on video data from uncalibrated surveillance cameras and present PINNS (Pedestrian-ve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25947","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/2605.25947/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.25947","created_at":"2026-05-26T02:05:19.588092+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.25947v1","created_at":"2026-05-26T02:05:19.588092+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25947","created_at":"2026-05-26T02:05:19.588092+00:00"},{"alias_kind":"pith_short_12","alias_value":"G67SM7CIJ5D7","created_at":"2026-05-26T02:05:19.588092+00:00"},{"alias_kind":"pith_short_16","alias_value":"G67SM7CIJ5D7LIW2","created_at":"2026-05-26T02:05:19.588092+00:00"},{"alias_kind":"pith_short_8","alias_value":"G67SM7CI","created_at":"2026-05-26T02:05:19.588092+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/G67SM7CIJ5D7LIW2SF3EI5F37L","json":"https://pith.science/pith/G67SM7CIJ5D7LIW2SF3EI5F37L.json","graph_json":"https://pith.science/api/pith-number/G67SM7CIJ5D7LIW2SF3EI5F37L/graph.json","events_json":"https://pith.science/api/pith-number/G67SM7CIJ5D7LIW2SF3EI5F37L/events.json","paper":"https://pith.science/paper/G67SM7CI"},"agent_actions":{"view_html":"https://pith.science/pith/G67SM7CIJ5D7LIW2SF3EI5F37L","download_json":"https://pith.science/pith/G67SM7CIJ5D7LIW2SF3EI5F37L.json","view_paper":"https://pith.science/paper/G67SM7CI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.25947&json=true","fetch_graph":"https://pith.science/api/pith-number/G67SM7CIJ5D7LIW2SF3EI5F37L/graph.json","fetch_events":"https://pith.science/api/pith-number/G67SM7CIJ5D7LIW2SF3EI5F37L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G67SM7CIJ5D7LIW2SF3EI5F37L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G67SM7CIJ5D7LIW2SF3EI5F37L/action/storage_attestation","attest_author":"https://pith.science/pith/G67SM7CIJ5D7LIW2SF3EI5F37L/action/author_attestation","sign_citation":"https://pith.science/pith/G67SM7CIJ5D7LIW2SF3EI5F37L/action/citation_signature","submit_replication":"https://pith.science/pith/G67SM7CIJ5D7LIW2SF3EI5F37L/action/replication_record"}},"created_at":"2026-05-26T02:05:19.588092+00:00","updated_at":"2026-05-26T02:05:19.588092+00:00"}