{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JDIJLHHGXCKGY2PBBUBYQU3OUY","short_pith_number":"pith:JDIJLHHG","canonical_record":{"source":{"id":"1806.02424","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-06T20:59:40Z","cross_cats_sorted":[],"title_canon_sha256":"64e51429a09cf98e60897e34312114810a26da7e9ba56c7811418d6d52df39ee","abstract_canon_sha256":"9089e1b053cad93b54cf36776551236059bf45fa1689adbc399878af46dda770"},"schema_version":"1.0"},"canonical_sha256":"48d0959ce6b8946c69e10d0388536ea60537e8c0224830cf8699b098ce923de2","source":{"kind":"arxiv","id":"1806.02424","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02424","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02424v1","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02424","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"pith_short_12","alias_value":"JDIJLHHGXCKG","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JDIJLHHGXCKGY2PB","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JDIJLHHG","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JDIJLHHGXCKGY2PBBUBYQU3OUY","target":"record","payload":{"canonical_record":{"source":{"id":"1806.02424","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-06T20:59:40Z","cross_cats_sorted":[],"title_canon_sha256":"64e51429a09cf98e60897e34312114810a26da7e9ba56c7811418d6d52df39ee","abstract_canon_sha256":"9089e1b053cad93b54cf36776551236059bf45fa1689adbc399878af46dda770"},"schema_version":"1.0"},"canonical_sha256":"48d0959ce6b8946c69e10d0388536ea60537e8c0224830cf8699b098ce923de2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:56.872350Z","signature_b64":"OkhSyv4bCtbSMLwPuIOiVC3VZuaeSPFzBOkrVE4JDoLWTksqfsc5QUsqcX/1JjVnm2V20jztuA0eOV1GOai+BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"48d0959ce6b8946c69e10d0388536ea60537e8c0224830cf8699b098ce923de2","last_reissued_at":"2026-05-18T00:13:56.871640Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:56.871640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.02424","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":"2026-05-18T00:13:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lj36DC3SmSRsGzF6Mf5LQszkwqp/CgHRpZbvlLb1rWmLCKVaUTC8pmi0j0rsoBX/XwqW/EIN4Lwofrt4ybsjDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T08:25:51.873206Z"},"content_sha256":"50f08bad3c8c4bed1bb1cda5a8010c53aa775d2bf36b61189a830e98dd515a6d","schema_version":"1.0","event_id":"sha256:50f08bad3c8c4bed1bb1cda5a8010c53aa775d2bf36b61189a830e98dd515a6d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JDIJLHHGXCKGY2PBBUBYQU3OUY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Action4D: Real-time Action Recognition in the Crowd and Clutter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Jiang, Quanzeng You","submitted_at":"2018-06-06T20:59:40Z","abstract_excerpt":"Recognizing every person's action in a crowded and cluttered environment is a challenging task. In this paper, we propose a real-time action recognition method, Action4D, which gives reliable and accurate results in the real-world settings. We propose to tackle the action recognition problem using a holistic 4D \"scan\" of a cluttered scene to include every detail about the people and environment. Recognizing multiple people's actions in the cluttered 4D representation is a new problem. In this paper, we propose novel methods to solve this problem. We propose a new method to track people in 4D, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02424","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":"2026-05-18T00:13:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kJqQpusFqvaN7ySNZ9wssB1110kwiKsBy+r0Zs+KJ1gpkShiUaWVk4nz35+ebs5/AFeaNHQxhgmnQoDQ4AVMBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T08:25:51.873888Z"},"content_sha256":"7a0feb22c8d26cb2d9487cca194d5ed94c55b5a533a783754a19d92bbd425908","schema_version":"1.0","event_id":"sha256:7a0feb22c8d26cb2d9487cca194d5ed94c55b5a533a783754a19d92bbd425908"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JDIJLHHGXCKGY2PBBUBYQU3OUY/bundle.json","state_url":"https://pith.science/pith/JDIJLHHGXCKGY2PBBUBYQU3OUY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JDIJLHHGXCKGY2PBBUBYQU3OUY/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":"2026-06-10T08:25:51Z","links":{"resolver":"https://pith.science/pith/JDIJLHHGXCKGY2PBBUBYQU3OUY","bundle":"https://pith.science/pith/JDIJLHHGXCKGY2PBBUBYQU3OUY/bundle.json","state":"https://pith.science/pith/JDIJLHHGXCKGY2PBBUBYQU3OUY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JDIJLHHGXCKGY2PBBUBYQU3OUY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JDIJLHHGXCKGY2PBBUBYQU3OUY","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":"9089e1b053cad93b54cf36776551236059bf45fa1689adbc399878af46dda770","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-06T20:59:40Z","title_canon_sha256":"64e51429a09cf98e60897e34312114810a26da7e9ba56c7811418d6d52df39ee"},"schema_version":"1.0","source":{"id":"1806.02424","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02424","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02424v1","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02424","created_at":"2026-05-18T00:13:56Z"},{"alias_kind":"pith_short_12","alias_value":"JDIJLHHGXCKG","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JDIJLHHGXCKGY2PB","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JDIJLHHG","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:7a0feb22c8d26cb2d9487cca194d5ed94c55b5a533a783754a19d92bbd425908","target":"graph","created_at":"2026-05-18T00:13:56Z","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":"Recognizing every person's action in a crowded and cluttered environment is a challenging task. In this paper, we propose a real-time action recognition method, Action4D, which gives reliable and accurate results in the real-world settings. We propose to tackle the action recognition problem using a holistic 4D \"scan\" of a cluttered scene to include every detail about the people and environment. Recognizing multiple people's actions in the cluttered 4D representation is a new problem. In this paper, we propose novel methods to solve this problem. We propose a new method to track people in 4D, ","authors_text":"Hao Jiang, Quanzeng You","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-06T20:59:40Z","title":"Action4D: Real-time Action Recognition in the Crowd and Clutter"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02424","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":"sha256:50f08bad3c8c4bed1bb1cda5a8010c53aa775d2bf36b61189a830e98dd515a6d","target":"record","created_at":"2026-05-18T00:13:56Z","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":"9089e1b053cad93b54cf36776551236059bf45fa1689adbc399878af46dda770","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-06T20:59:40Z","title_canon_sha256":"64e51429a09cf98e60897e34312114810a26da7e9ba56c7811418d6d52df39ee"},"schema_version":"1.0","source":{"id":"1806.02424","kind":"arxiv","version":1}},"canonical_sha256":"48d0959ce6b8946c69e10d0388536ea60537e8c0224830cf8699b098ce923de2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"48d0959ce6b8946c69e10d0388536ea60537e8c0224830cf8699b098ce923de2","first_computed_at":"2026-05-18T00:13:56.871640Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:56.871640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OkhSyv4bCtbSMLwPuIOiVC3VZuaeSPFzBOkrVE4JDoLWTksqfsc5QUsqcX/1JjVnm2V20jztuA0eOV1GOai+BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:56.872350Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.02424","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:50f08bad3c8c4bed1bb1cda5a8010c53aa775d2bf36b61189a830e98dd515a6d","sha256:7a0feb22c8d26cb2d9487cca194d5ed94c55b5a533a783754a19d92bbd425908"],"state_sha256":"fcd0b33ee4482879ecdbdd0bd852d8d92b6f709b73ec67f694cbd31a2cadcc4d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gv4/8miqjaGq4R17b/hFibR6fBTDjqwhf2heWnYt4PWfAQltXpBuHC4oYJVkopORKfaYYruSNmcL1U1t8jJsBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T08:25:51.877905Z","bundle_sha256":"63311a019905d47485ab9b11c8774b737e5fd53f73740dda0f19b5002e7139ff"}}