{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:GO24UTX3XQU2XE5JWUYCHOGOMW","short_pith_number":"pith:GO24UTX3","canonical_record":{"source":{"id":"1602.00828","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-02T08:42:44Z","cross_cats_sorted":[],"title_canon_sha256":"84e40e8caf2b73d23064c5c8f8533bdef4482a35d132f41048203dcd7a0d8bd2","abstract_canon_sha256":"44d82b17937d007f0b38bad28dca3631a65340ad3eb948e44c6891593c89c8f7"},"schema_version":"1.0"},"canonical_sha256":"33b5ca4efbbc29ab93a9b53023b8ce65b22380212b600490561501e7d7bfd4e8","source":{"kind":"arxiv","id":"1602.00828","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.00828","created_at":"2026-05-18T01:04:45Z"},{"alias_kind":"arxiv_version","alias_value":"1602.00828v1","created_at":"2026-05-18T01:04:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.00828","created_at":"2026-05-18T01:04:45Z"},{"alias_kind":"pith_short_12","alias_value":"GO24UTX3XQU2","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"GO24UTX3XQU2XE5J","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"GO24UTX3","created_at":"2026-05-18T12:30:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:GO24UTX3XQU2XE5JWUYCHOGOMW","target":"record","payload":{"canonical_record":{"source":{"id":"1602.00828","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-02T08:42:44Z","cross_cats_sorted":[],"title_canon_sha256":"84e40e8caf2b73d23064c5c8f8533bdef4482a35d132f41048203dcd7a0d8bd2","abstract_canon_sha256":"44d82b17937d007f0b38bad28dca3631a65340ad3eb948e44c6891593c89c8f7"},"schema_version":"1.0"},"canonical_sha256":"33b5ca4efbbc29ab93a9b53023b8ce65b22380212b600490561501e7d7bfd4e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:04:45.425009Z","signature_b64":"gjNRWbjXkm0RQqc99wUPEWlu1vZNPL3IgdIGLf4I9ul3FROR9Gm4lnCeWHQvc5zsVWL1FVaH6zpy8dc50S+sDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33b5ca4efbbc29ab93a9b53023b8ce65b22380212b600490561501e7d7bfd4e8","last_reissued_at":"2026-05-18T01:04:45.424254Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:04:45.424254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.00828","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":"2026-05-18T01:04:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qrYauTXHA9bR+0wLaHA+oaXbSzRam68p+0WGVsBms7Bkx+Uypr8sKt6eheYuW1pM41BAkEV/I04oc2cYN11gDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T13:16:11.023230Z"},"content_sha256":"ba9389f90b40ec540f40b413fb0ff70a0e0ee8332fa24df1aa20a036c2f8f28e","schema_version":"1.0","event_id":"sha256:ba9389f90b40ec540f40b413fb0ff70a0e0ee8332fa24df1aa20a036c2f8f28e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:GO24UTX3XQU2XE5JWUYCHOGOMW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning a Deep Model for Human Action Recognition from Novel Viewpoints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ajmal Mian, Hossein Rahmani, Mubarak Shah","submitted_at":"2016-02-02T08:42:44Z","abstract_excerpt":"Recognizing human actions from unknown and unseen (novel) views is a challenging problem. We propose a Robust Non-Linear Knowledge Transfer Model (R-NKTM) for human action recognition from novel views. The proposed R-NKTM is a deep fully-connected neural network that transfers knowledge of human actions from any unknown view to a shared high-level virtual view by finding a non-linear virtual path that connects the views. The R-NKTM is learned from dense trajectories of synthetic 3D human models fitted to real motion capture data and generalizes to real videos of human actions. The strength of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.00828","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":"2026-05-18T01:04:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v3pzB9SXPGIeqeM+2KxpgfLDOBr2+jt0dzehCSser7F+O6TLi2Lmw93SLoIQd19p7KEzCM+B9WThYqd5ilo0AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T13:16:11.023587Z"},"content_sha256":"207cc9d2a34a5b50cf38e767f541edb1bece783f7dcf1f721088c41827340b32","schema_version":"1.0","event_id":"sha256:207cc9d2a34a5b50cf38e767f541edb1bece783f7dcf1f721088c41827340b32"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GO24UTX3XQU2XE5JWUYCHOGOMW/bundle.json","state_url":"https://pith.science/pith/GO24UTX3XQU2XE5JWUYCHOGOMW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GO24UTX3XQU2XE5JWUYCHOGOMW/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":"2026-07-04T13:16:11Z","links":{"resolver":"https://pith.science/pith/GO24UTX3XQU2XE5JWUYCHOGOMW","bundle":"https://pith.science/pith/GO24UTX3XQU2XE5JWUYCHOGOMW/bundle.json","state":"https://pith.science/pith/GO24UTX3XQU2XE5JWUYCHOGOMW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GO24UTX3XQU2XE5JWUYCHOGOMW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:GO24UTX3XQU2XE5JWUYCHOGOMW","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":"44d82b17937d007f0b38bad28dca3631a65340ad3eb948e44c6891593c89c8f7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-02T08:42:44Z","title_canon_sha256":"84e40e8caf2b73d23064c5c8f8533bdef4482a35d132f41048203dcd7a0d8bd2"},"schema_version":"1.0","source":{"id":"1602.00828","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.00828","created_at":"2026-05-18T01:04:45Z"},{"alias_kind":"arxiv_version","alias_value":"1602.00828v1","created_at":"2026-05-18T01:04:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.00828","created_at":"2026-05-18T01:04:45Z"},{"alias_kind":"pith_short_12","alias_value":"GO24UTX3XQU2","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"GO24UTX3XQU2XE5J","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"GO24UTX3","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:207cc9d2a34a5b50cf38e767f541edb1bece783f7dcf1f721088c41827340b32","target":"graph","created_at":"2026-05-18T01:04:45Z","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 human actions from unknown and unseen (novel) views is a challenging problem. We propose a Robust Non-Linear Knowledge Transfer Model (R-NKTM) for human action recognition from novel views. The proposed R-NKTM is a deep fully-connected neural network that transfers knowledge of human actions from any unknown view to a shared high-level virtual view by finding a non-linear virtual path that connects the views. The R-NKTM is learned from dense trajectories of synthetic 3D human models fitted to real motion capture data and generalizes to real videos of human actions. The strength of ","authors_text":"Ajmal Mian, Hossein Rahmani, Mubarak Shah","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-02T08:42:44Z","title":"Learning a Deep Model for Human Action Recognition from Novel Viewpoints"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.00828","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:ba9389f90b40ec540f40b413fb0ff70a0e0ee8332fa24df1aa20a036c2f8f28e","target":"record","created_at":"2026-05-18T01:04:45Z","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":"44d82b17937d007f0b38bad28dca3631a65340ad3eb948e44c6891593c89c8f7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-02T08:42:44Z","title_canon_sha256":"84e40e8caf2b73d23064c5c8f8533bdef4482a35d132f41048203dcd7a0d8bd2"},"schema_version":"1.0","source":{"id":"1602.00828","kind":"arxiv","version":1}},"canonical_sha256":"33b5ca4efbbc29ab93a9b53023b8ce65b22380212b600490561501e7d7bfd4e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33b5ca4efbbc29ab93a9b53023b8ce65b22380212b600490561501e7d7bfd4e8","first_computed_at":"2026-05-18T01:04:45.424254Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:04:45.424254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gjNRWbjXkm0RQqc99wUPEWlu1vZNPL3IgdIGLf4I9ul3FROR9Gm4lnCeWHQvc5zsVWL1FVaH6zpy8dc50S+sDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:04:45.425009Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.00828","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba9389f90b40ec540f40b413fb0ff70a0e0ee8332fa24df1aa20a036c2f8f28e","sha256:207cc9d2a34a5b50cf38e767f541edb1bece783f7dcf1f721088c41827340b32"],"state_sha256":"d19cd89baff6866e02e1fb71182cde0c32b5f1beb975ddcbe2efb9ea2d1873d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T8VMaI52QnuRXWxdVdeYhh1jafTBxpqNGjzY5K/VDwhjpE8YnrhtlPXZXWy2G0i8cd21aw/e6kY4seUl+mqEBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T13:16:11.025389Z","bundle_sha256":"054de2e11a7966e04d6328a655e1ba0cdc57916d9e75df7a3ae66f342bbaf010"}}