{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:WN4O5WZYGHBC6OJZYDKF5UOERC","short_pith_number":"pith:WN4O5WZY","canonical_record":{"source":{"id":"1602.04921","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-16T06:25:30Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"4e5630e525f73faadb90c38638cf9717affed79c7504eb3cb2f743cdd27ea0ae","abstract_canon_sha256":"e2662a550a4ab6448a5440f2c5264eb5eed978c7d692c32bdbfc0603fa4a0523"},"schema_version":"1.0"},"canonical_sha256":"b378eedb3831c22f3939c0d45ed1c48893958db01e6cb4fea040b20014836b97","source":{"kind":"arxiv","id":"1602.04921","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.04921","created_at":"2026-05-18T01:16:42Z"},{"alias_kind":"arxiv_version","alias_value":"1602.04921v1","created_at":"2026-05-18T01:16:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.04921","created_at":"2026-05-18T01:16:42Z"},{"alias_kind":"pith_short_12","alias_value":"WN4O5WZYGHBC","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"WN4O5WZYGHBC6OJZ","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"WN4O5WZY","created_at":"2026-05-18T12:30:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:WN4O5WZYGHBC6OJZYDKF5UOERC","target":"record","payload":{"canonical_record":{"source":{"id":"1602.04921","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-16T06:25:30Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"4e5630e525f73faadb90c38638cf9717affed79c7504eb3cb2f743cdd27ea0ae","abstract_canon_sha256":"e2662a550a4ab6448a5440f2c5264eb5eed978c7d692c32bdbfc0603fa4a0523"},"schema_version":"1.0"},"canonical_sha256":"b378eedb3831c22f3939c0d45ed1c48893958db01e6cb4fea040b20014836b97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:16:42.464835Z","signature_b64":"gmp2ZMRx3xvBFmzE1cVpY77Clk21B62of4+crjatUxOeBoBCqlfzKTS3UWpFFGEDkTnY9mkkIDt3XMkg0VfzCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b378eedb3831c22f3939c0d45ed1c48893958db01e6cb4fea040b20014836b97","last_reissued_at":"2026-05-18T01:16:42.464376Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:16:42.464376Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.04921","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":"2026-05-18T01:16:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fKAuJZ97OFmtQ5Wh6s4vq+hxF6coMFKJUyUp2T73qiW8Nc67+/TRBBQzqMDbNUG6w86asWQKU91yLzcXC+36Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T05:15:04.325155Z"},"content_sha256":"d95e809a12b188922bfa17b6a977b94c75daa7099e3e19e64a4a4f3dfc220ddd","schema_version":"1.0","event_id":"sha256:d95e809a12b188922bfa17b6a977b94c75daa7099e3e19e64a4a4f3dfc220ddd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:WN4O5WZYGHBC6OJZYDKF5UOERC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.MM"],"primary_cat":"cs.CV","authors_text":"Jianxin Wu, Jingdong Wang, Tao Mei, Weiyao Lin, Weiyue Wang, Yang Mi","submitted_at":"2016-02-16T06:25:30Z","abstract_excerpt":"This paper addresses the problem of detecting coherent motions in crowd scenes and presents its two applications in crowd scene understanding: semantic region detection and recurrent activity mining. It processes input motion fields (e.g., optical flow fields) and produces a coherent motion filed, named as thermal energy field. The thermal energy field is able to capture both motion correlation among particles and the motion trends of individual particles which are helpful to discover coherency among them. We further introduce a two-step clustering process to construct stable semantic regions "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.04921","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":""},"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":"2026-05-18T01:16:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a3RLoHT/0tdpnaLyXVtRGYvR98+kG1nZ5ZAyUj5ocHo15knMNVl3EmeKu8EUNjCmCYMVujE2nxqI7oS1SzxKCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T05:15:04.325968Z"},"content_sha256":"dcb4701448f500edf434396037ec53b1be2212796c20e6927cb4fd007ba845bb","schema_version":"1.0","event_id":"sha256:dcb4701448f500edf434396037ec53b1be2212796c20e6927cb4fd007ba845bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WN4O5WZYGHBC6OJZYDKF5UOERC/bundle.json","state_url":"https://pith.science/pith/WN4O5WZYGHBC6OJZYDKF5UOERC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WN4O5WZYGHBC6OJZYDKF5UOERC/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":"2026-05-31T05:15:04Z","links":{"resolver":"https://pith.science/pith/WN4O5WZYGHBC6OJZYDKF5UOERC","bundle":"https://pith.science/pith/WN4O5WZYGHBC6OJZYDKF5UOERC/bundle.json","state":"https://pith.science/pith/WN4O5WZYGHBC6OJZYDKF5UOERC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WN4O5WZYGHBC6OJZYDKF5UOERC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:WN4O5WZYGHBC6OJZYDKF5UOERC","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":"e2662a550a4ab6448a5440f2c5264eb5eed978c7d692c32bdbfc0603fa4a0523","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-16T06:25:30Z","title_canon_sha256":"4e5630e525f73faadb90c38638cf9717affed79c7504eb3cb2f743cdd27ea0ae"},"schema_version":"1.0","source":{"id":"1602.04921","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.04921","created_at":"2026-05-18T01:16:42Z"},{"alias_kind":"arxiv_version","alias_value":"1602.04921v1","created_at":"2026-05-18T01:16:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.04921","created_at":"2026-05-18T01:16:42Z"},{"alias_kind":"pith_short_12","alias_value":"WN4O5WZYGHBC","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"WN4O5WZYGHBC6OJZ","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"WN4O5WZY","created_at":"2026-05-18T12:30:48Z"}],"graph_snapshots":[{"event_id":"sha256:dcb4701448f500edf434396037ec53b1be2212796c20e6927cb4fd007ba845bb","target":"graph","created_at":"2026-05-18T01:16:42Z","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"},"paper":{"abstract_excerpt":"This paper addresses the problem of detecting coherent motions in crowd scenes and presents its two applications in crowd scene understanding: semantic region detection and recurrent activity mining. It processes input motion fields (e.g., optical flow fields) and produces a coherent motion filed, named as thermal energy field. The thermal energy field is able to capture both motion correlation among particles and the motion trends of individual particles which are helpful to discover coherency among them. We further introduce a two-step clustering process to construct stable semantic regions ","authors_text":"Jianxin Wu, Jingdong Wang, Tao Mei, Weiyao Lin, Weiyue Wang, Yang Mi","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-16T06:25:30Z","title":"A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.04921","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:d95e809a12b188922bfa17b6a977b94c75daa7099e3e19e64a4a4f3dfc220ddd","target":"record","created_at":"2026-05-18T01:16:42Z","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":"e2662a550a4ab6448a5440f2c5264eb5eed978c7d692c32bdbfc0603fa4a0523","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-16T06:25:30Z","title_canon_sha256":"4e5630e525f73faadb90c38638cf9717affed79c7504eb3cb2f743cdd27ea0ae"},"schema_version":"1.0","source":{"id":"1602.04921","kind":"arxiv","version":1}},"canonical_sha256":"b378eedb3831c22f3939c0d45ed1c48893958db01e6cb4fea040b20014836b97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b378eedb3831c22f3939c0d45ed1c48893958db01e6cb4fea040b20014836b97","first_computed_at":"2026-05-18T01:16:42.464376Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:16:42.464376Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gmp2ZMRx3xvBFmzE1cVpY77Clk21B62of4+crjatUxOeBoBCqlfzKTS3UWpFFGEDkTnY9mkkIDt3XMkg0VfzCw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:16:42.464835Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.04921","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d95e809a12b188922bfa17b6a977b94c75daa7099e3e19e64a4a4f3dfc220ddd","sha256:dcb4701448f500edf434396037ec53b1be2212796c20e6927cb4fd007ba845bb"],"state_sha256":"f64225d0eaadd8183c9eca289fd041059e3e0ba49f9706b0a6e82a76fef34882"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EdruJPc/I+NDJz0o35nFEP9RVBW3ncQrRhMmM2WwMSkmU6qK0cM/xtDmwzATaa0r7WOr+0//7++RqefQvhNdDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T05:15:04.329932Z","bundle_sha256":"f368ae62cc43b038212274a4403bebcdda19d25632e5968fc2bbb222312e0d30"}}