{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:AJMUUMUBHU4AVHN5KY35C4MJMH","short_pith_number":"pith:AJMUUMUB","schema_version":"1.0","canonical_sha256":"02594a32813d380a9dbd5637d1718961da7ff5df13eafc8f18ff90820e9b31cd","source":{"kind":"arxiv","id":"2510.20182","version":2},"attestation_state":"computed","paper":{"title":"PEDRA: Evaluating the Realism of Pedestrian Dynamics in Video Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aaron Appelle, Jerome P. Lynch","submitted_at":"2025-10-23T04:06:58Z","abstract_excerpt":"Pedestrian simulation traditionally relies on expert-tuned, hand-crafted models that limit scalability and generalization. Meanwhile, large-scale video generation models have achieved high visual realism across diverse settings, motivating exploration of their potential as general-purpose world simulators. Existing benchmarks primarily assess single-subject realism rather than scenes with multiple interacting people, leaving the plausibility of multi-agent dynamics in generated videos untested. We propose a rigorous evaluation protocol to benchmark text-to-video (T2V) and image-to-video (I2V) "},"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":"2510.20182","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-23T04:06:58Z","cross_cats_sorted":[],"title_canon_sha256":"90c16df0014e76cf11d16c9a7ca1439bdcfea9acd6fa085fdfa1b9b92bf54b7a","abstract_canon_sha256":"720ad6e16ea028c85d2e15af26ef752e41e602405fcbe23a0c03b1af9f02a7fb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:04:39.665728Z","signature_b64":"L7tuWSrSTntY/2oGDsl6HDlVpJ+anA3eQUEsml6KMn9uTpkUR52nVWsB5OH9Y5NCN3Fz1GMsIXQti5n4wAKPCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02594a32813d380a9dbd5637d1718961da7ff5df13eafc8f18ff90820e9b31cd","last_reissued_at":"2026-06-09T01:04:39.665235Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:04:39.665235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PEDRA: Evaluating the Realism of Pedestrian Dynamics in Video Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aaron Appelle, Jerome P. Lynch","submitted_at":"2025-10-23T04:06:58Z","abstract_excerpt":"Pedestrian simulation traditionally relies on expert-tuned, hand-crafted models that limit scalability and generalization. Meanwhile, large-scale video generation models have achieved high visual realism across diverse settings, motivating exploration of their potential as general-purpose world simulators. Existing benchmarks primarily assess single-subject realism rather than scenes with multiple interacting people, leaving the plausibility of multi-agent dynamics in generated videos untested. We propose a rigorous evaluation protocol to benchmark text-to-video (T2V) and image-to-video (I2V) "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.20182","kind":"arxiv","version":2},"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/2510.20182/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":"2510.20182","created_at":"2026-06-09T01:04:39.665295+00:00"},{"alias_kind":"arxiv_version","alias_value":"2510.20182v2","created_at":"2026-06-09T01:04:39.665295+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.20182","created_at":"2026-06-09T01:04:39.665295+00:00"},{"alias_kind":"pith_short_12","alias_value":"AJMUUMUBHU4A","created_at":"2026-06-09T01:04:39.665295+00:00"},{"alias_kind":"pith_short_16","alias_value":"AJMUUMUBHU4AVHN5","created_at":"2026-06-09T01:04:39.665295+00:00"},{"alias_kind":"pith_short_8","alias_value":"AJMUUMUB","created_at":"2026-06-09T01:04:39.665295+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/AJMUUMUBHU4AVHN5KY35C4MJMH","json":"https://pith.science/pith/AJMUUMUBHU4AVHN5KY35C4MJMH.json","graph_json":"https://pith.science/api/pith-number/AJMUUMUBHU4AVHN5KY35C4MJMH/graph.json","events_json":"https://pith.science/api/pith-number/AJMUUMUBHU4AVHN5KY35C4MJMH/events.json","paper":"https://pith.science/paper/AJMUUMUB"},"agent_actions":{"view_html":"https://pith.science/pith/AJMUUMUBHU4AVHN5KY35C4MJMH","download_json":"https://pith.science/pith/AJMUUMUBHU4AVHN5KY35C4MJMH.json","view_paper":"https://pith.science/paper/AJMUUMUB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2510.20182&json=true","fetch_graph":"https://pith.science/api/pith-number/AJMUUMUBHU4AVHN5KY35C4MJMH/graph.json","fetch_events":"https://pith.science/api/pith-number/AJMUUMUBHU4AVHN5KY35C4MJMH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AJMUUMUBHU4AVHN5KY35C4MJMH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AJMUUMUBHU4AVHN5KY35C4MJMH/action/storage_attestation","attest_author":"https://pith.science/pith/AJMUUMUBHU4AVHN5KY35C4MJMH/action/author_attestation","sign_citation":"https://pith.science/pith/AJMUUMUBHU4AVHN5KY35C4MJMH/action/citation_signature","submit_replication":"https://pith.science/pith/AJMUUMUBHU4AVHN5KY35C4MJMH/action/replication_record"}},"created_at":"2026-06-09T01:04:39.665295+00:00","updated_at":"2026-06-09T01:04:39.665295+00:00"}