{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:VWMM33HKBWHQTD4PYUT4ZRGC5P","short_pith_number":"pith:VWMM33HK","canonical_record":{"source":{"id":"1603.04015","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-13T10:20:25Z","cross_cats_sorted":[],"title_canon_sha256":"915d627b70137dd91d26439cfa1b4468f5a98a72c008c2133a0b1517efe96808","abstract_canon_sha256":"281dd6cb7d4b08de923fa5ff690dc5638498e0a5e4bb668fe02c3a2e9e12c630"},"schema_version":"1.0"},"canonical_sha256":"ad98cdecea0d8f098f8fc527ccc4c2ebc573e9ff96212e4189c4b8e7eadc5929","source":{"kind":"arxiv","id":"1603.04015","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.04015","created_at":"2026-05-18T01:03:44Z"},{"alias_kind":"arxiv_version","alias_value":"1603.04015v3","created_at":"2026-05-18T01:03:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.04015","created_at":"2026-05-18T01:03:44Z"},{"alias_kind":"pith_short_12","alias_value":"VWMM33HKBWHQ","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"VWMM33HKBWHQTD4P","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"VWMM33HK","created_at":"2026-05-18T12:30:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:VWMM33HKBWHQTD4PYUT4ZRGC5P","target":"record","payload":{"canonical_record":{"source":{"id":"1603.04015","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-13T10:20:25Z","cross_cats_sorted":[],"title_canon_sha256":"915d627b70137dd91d26439cfa1b4468f5a98a72c008c2133a0b1517efe96808","abstract_canon_sha256":"281dd6cb7d4b08de923fa5ff690dc5638498e0a5e4bb668fe02c3a2e9e12c630"},"schema_version":"1.0"},"canonical_sha256":"ad98cdecea0d8f098f8fc527ccc4c2ebc573e9ff96212e4189c4b8e7eadc5929","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:03:44.085669Z","signature_b64":"F88FQaKsthiIR1L4cCISq+6Wi/mXXIG1nW0dx/v0zhSPUdcTGh5ug00UwUwJtkqMKQJ7yrdKOE+iG3Gsx7MDAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad98cdecea0d8f098f8fc527ccc4c2ebc573e9ff96212e4189c4b8e7eadc5929","last_reissued_at":"2026-05-18T01:03:44.085190Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:03:44.085190Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1603.04015","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:03:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9HYLIgS10zi919VJpQR4WrBOzTjuwp6ys5lnooCg4OGuIt1CqV1l4ouvQAsH46CGm6YTxqxeTGZm9Pr4E0CABQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T07:04:27.870630Z"},"content_sha256":"3dc6972be8dc96b473e41c92499280edf0a8721632fcb29523c112c83906463f","schema_version":"1.0","event_id":"sha256:3dc6972be8dc96b473e41c92499280edf0a8721632fcb29523c112c83906463f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:VWMM33HKBWHQTD4PYUT4ZRGC5P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning zeroth class dictionary for human action recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guocan Feng, Jia-xin Cai, Lifang Zhang, Xin Tang","submitted_at":"2016-03-13T10:20:25Z","abstract_excerpt":"In this paper, a discriminative two-phase dictionary learning framework is proposed for classifying human action by sparse shape representations, in which the first-phase dictionary is learned on the selected discriminative frames and the second-phase dictionary is built for recognition using reconstruction errors of the first-phase dictionary as input features. We propose a \"zeroth class\" trick for detecting undiscriminating frames of the test video and eliminating them before voting on the action categories. Experimental results on benchmarks demonstrate the effectiveness of our method."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.04015","kind":"arxiv","version":3},"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":"2026-05-18T01:03:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VCRn1AQ2gVUUDzwXEDxvJIbXrqQbKTVEtSM3e/1QbwTVGA9SZJL5PxW48FMKbsTPFS4lO46FsBQF2IKqQ10/Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T07:04:27.871281Z"},"content_sha256":"f7ba1f2af5da490b1f615148c9b17d79423e138d218326ba2f6a5c9de1587f06","schema_version":"1.0","event_id":"sha256:f7ba1f2af5da490b1f615148c9b17d79423e138d218326ba2f6a5c9de1587f06"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VWMM33HKBWHQTD4PYUT4ZRGC5P/bundle.json","state_url":"https://pith.science/pith/VWMM33HKBWHQTD4PYUT4ZRGC5P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VWMM33HKBWHQTD4PYUT4ZRGC5P/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":"2026-05-25T07:04:27Z","links":{"resolver":"https://pith.science/pith/VWMM33HKBWHQTD4PYUT4ZRGC5P","bundle":"https://pith.science/pith/VWMM33HKBWHQTD4PYUT4ZRGC5P/bundle.json","state":"https://pith.science/pith/VWMM33HKBWHQTD4PYUT4ZRGC5P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VWMM33HKBWHQTD4PYUT4ZRGC5P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:VWMM33HKBWHQTD4PYUT4ZRGC5P","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":"281dd6cb7d4b08de923fa5ff690dc5638498e0a5e4bb668fe02c3a2e9e12c630","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-13T10:20:25Z","title_canon_sha256":"915d627b70137dd91d26439cfa1b4468f5a98a72c008c2133a0b1517efe96808"},"schema_version":"1.0","source":{"id":"1603.04015","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.04015","created_at":"2026-05-18T01:03:44Z"},{"alias_kind":"arxiv_version","alias_value":"1603.04015v3","created_at":"2026-05-18T01:03:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.04015","created_at":"2026-05-18T01:03:44Z"},{"alias_kind":"pith_short_12","alias_value":"VWMM33HKBWHQ","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"VWMM33HKBWHQTD4P","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"VWMM33HK","created_at":"2026-05-18T12:30:48Z"}],"graph_snapshots":[{"event_id":"sha256:f7ba1f2af5da490b1f615148c9b17d79423e138d218326ba2f6a5c9de1587f06","target":"graph","created_at":"2026-05-18T01:03:44Z","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":"In this paper, a discriminative two-phase dictionary learning framework is proposed for classifying human action by sparse shape representations, in which the first-phase dictionary is learned on the selected discriminative frames and the second-phase dictionary is built for recognition using reconstruction errors of the first-phase dictionary as input features. We propose a \"zeroth class\" trick for detecting undiscriminating frames of the test video and eliminating them before voting on the action categories. Experimental results on benchmarks demonstrate the effectiveness of our method.","authors_text":"Guocan Feng, Jia-xin Cai, Lifang Zhang, Xin Tang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-13T10:20:25Z","title":"Learning zeroth class dictionary for human action recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.04015","kind":"arxiv","version":3},"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":"sha256:3dc6972be8dc96b473e41c92499280edf0a8721632fcb29523c112c83906463f","target":"record","created_at":"2026-05-18T01:03:44Z","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":"281dd6cb7d4b08de923fa5ff690dc5638498e0a5e4bb668fe02c3a2e9e12c630","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-13T10:20:25Z","title_canon_sha256":"915d627b70137dd91d26439cfa1b4468f5a98a72c008c2133a0b1517efe96808"},"schema_version":"1.0","source":{"id":"1603.04015","kind":"arxiv","version":3}},"canonical_sha256":"ad98cdecea0d8f098f8fc527ccc4c2ebc573e9ff96212e4189c4b8e7eadc5929","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad98cdecea0d8f098f8fc527ccc4c2ebc573e9ff96212e4189c4b8e7eadc5929","first_computed_at":"2026-05-18T01:03:44.085190Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:03:44.085190Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F88FQaKsthiIR1L4cCISq+6Wi/mXXIG1nW0dx/v0zhSPUdcTGh5ug00UwUwJtkqMKQJ7yrdKOE+iG3Gsx7MDAg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:03:44.085669Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.04015","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3dc6972be8dc96b473e41c92499280edf0a8721632fcb29523c112c83906463f","sha256:f7ba1f2af5da490b1f615148c9b17d79423e138d218326ba2f6a5c9de1587f06"],"state_sha256":"50ad1f66438d338aa297ee0e247cf5d472f6587bb659dd45ecab2f5994e87ff3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f40kbd8xuEO+ZIoWm82u3I7wu92y+u2IsM6oP+kZvBqR6ZXysIKZjRRIZEu8e05ohF054oyzHpwstAKNQWcvCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T07:04:27.874934Z","bundle_sha256":"d61e8fc928f395702b68fdab688a0695fe773ff9568e998efff8bd3ccc0e0af2"}}