{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:JJRB3KSULZBD73CZXMLOEBKU4B","short_pith_number":"pith:JJRB3KSU","canonical_record":{"source":{"id":"1901.07757","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-23T07:49:31Z","cross_cats_sorted":[],"title_canon_sha256":"84e4ecc84394743c1697bfd667f17a3182f585e5b88fedfdf49c9ae84f16c384","abstract_canon_sha256":"d8a17896de78b7c02db6b37040f1a6119640609ed35eabd00ac014ed71dee20f"},"schema_version":"1.0"},"canonical_sha256":"4a621daa545e423fec59bb16e20554e072d324ec0e5d2627505dcb90f9abe878","source":{"kind":"arxiv","id":"1901.07757","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.07757","created_at":"2026-05-17T23:55:41Z"},{"alias_kind":"arxiv_version","alias_value":"1901.07757v1","created_at":"2026-05-17T23:55:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.07757","created_at":"2026-05-17T23:55:41Z"},{"alias_kind":"pith_short_12","alias_value":"JJRB3KSULZBD","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"JJRB3KSULZBD73CZ","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"JJRB3KSU","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:JJRB3KSULZBD73CZXMLOEBKU4B","target":"record","payload":{"canonical_record":{"source":{"id":"1901.07757","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-23T07:49:31Z","cross_cats_sorted":[],"title_canon_sha256":"84e4ecc84394743c1697bfd667f17a3182f585e5b88fedfdf49c9ae84f16c384","abstract_canon_sha256":"d8a17896de78b7c02db6b37040f1a6119640609ed35eabd00ac014ed71dee20f"},"schema_version":"1.0"},"canonical_sha256":"4a621daa545e423fec59bb16e20554e072d324ec0e5d2627505dcb90f9abe878","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:41.564332Z","signature_b64":"1Uc0wYbzScvFCHYr8buUgOqd4KJGT0xsEY3dIOu77wOOSqTwUlw248KnpCNtKkrnNS/Ys1etK+yF37QDGov/CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a621daa545e423fec59bb16e20554e072d324ec0e5d2627505dcb90f9abe878","last_reissued_at":"2026-05-17T23:55:41.563794Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:41.563794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.07757","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":"2026-05-17T23:55:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uf+PYNv83uwfrNPIf98pWMVw/Lad+UTm/9ZJrcwL6iMWXQYXF0ACvwfTFxDrJJQdhCd2i6n0e2RLChn/qTEGCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T19:43:31.445857Z"},"content_sha256":"f3694069c46fc9554ac5cddee29eb3804947746dfb9f4af8a47408bad0c9d826","schema_version":"1.0","event_id":"sha256:f3694069c46fc9554ac5cddee29eb3804947746dfb9f4af8a47408bad0c9d826"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:JJRB3KSULZBD73CZXMLOEBKU4B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ODN: Opening the Deep Network for Open-set Action Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Qingsheng Yuan, Yaowei Wang, Yemin Shi, Yixiong Zou, Yonghong Tian, Yu Shu","submitted_at":"2019-01-23T07:49:31Z","abstract_excerpt":"In recent years, the performance of action recognition has been significantly improved with the help of deep neural networks. Most of the existing action recognition works hold the \\textit{closed-set} assumption that all action categories are known beforehand while deep networks can be well trained for these categories. However, action recognition in the real world is essentially an \\textit{open-set} problem, namely, it is impossible to know all action categories beforehand and consequently infeasible to prepare sufficient training samples for those emerging categories. In this case, applying "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.07757","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":"2026-05-17T23:55:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Cr8hxHW1t5PTXRDgW8IXzV3L1aReWvfI5SXQIwVzDUxRNy4/pUq1+eHDWtm0wsENAYG81jdQ+KZu0R8zi2DKAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T19:43:31.446483Z"},"content_sha256":"14e20d2b0aa4981acfe58e1995460a4d1f2cc279a2a02ddf1caa8cdc88e7ad25","schema_version":"1.0","event_id":"sha256:14e20d2b0aa4981acfe58e1995460a4d1f2cc279a2a02ddf1caa8cdc88e7ad25"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JJRB3KSULZBD73CZXMLOEBKU4B/bundle.json","state_url":"https://pith.science/pith/JJRB3KSULZBD73CZXMLOEBKU4B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JJRB3KSULZBD73CZXMLOEBKU4B/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":"2026-05-27T19:43:31Z","links":{"resolver":"https://pith.science/pith/JJRB3KSULZBD73CZXMLOEBKU4B","bundle":"https://pith.science/pith/JJRB3KSULZBD73CZXMLOEBKU4B/bundle.json","state":"https://pith.science/pith/JJRB3KSULZBD73CZXMLOEBKU4B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JJRB3KSULZBD73CZXMLOEBKU4B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JJRB3KSULZBD73CZXMLOEBKU4B","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":"d8a17896de78b7c02db6b37040f1a6119640609ed35eabd00ac014ed71dee20f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-23T07:49:31Z","title_canon_sha256":"84e4ecc84394743c1697bfd667f17a3182f585e5b88fedfdf49c9ae84f16c384"},"schema_version":"1.0","source":{"id":"1901.07757","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.07757","created_at":"2026-05-17T23:55:41Z"},{"alias_kind":"arxiv_version","alias_value":"1901.07757v1","created_at":"2026-05-17T23:55:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.07757","created_at":"2026-05-17T23:55:41Z"},{"alias_kind":"pith_short_12","alias_value":"JJRB3KSULZBD","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"JJRB3KSULZBD73CZ","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"JJRB3KSU","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:14e20d2b0aa4981acfe58e1995460a4d1f2cc279a2a02ddf1caa8cdc88e7ad25","target":"graph","created_at":"2026-05-17T23:55:41Z","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 recent years, the performance of action recognition has been significantly improved with the help of deep neural networks. Most of the existing action recognition works hold the \\textit{closed-set} assumption that all action categories are known beforehand while deep networks can be well trained for these categories. However, action recognition in the real world is essentially an \\textit{open-set} problem, namely, it is impossible to know all action categories beforehand and consequently infeasible to prepare sufficient training samples for those emerging categories. In this case, applying ","authors_text":"Qingsheng Yuan, Yaowei Wang, Yemin Shi, Yixiong Zou, Yonghong Tian, Yu Shu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-23T07:49:31Z","title":"ODN: Opening the Deep Network for Open-set Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.07757","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:f3694069c46fc9554ac5cddee29eb3804947746dfb9f4af8a47408bad0c9d826","target":"record","created_at":"2026-05-17T23:55:41Z","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":"d8a17896de78b7c02db6b37040f1a6119640609ed35eabd00ac014ed71dee20f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-23T07:49:31Z","title_canon_sha256":"84e4ecc84394743c1697bfd667f17a3182f585e5b88fedfdf49c9ae84f16c384"},"schema_version":"1.0","source":{"id":"1901.07757","kind":"arxiv","version":1}},"canonical_sha256":"4a621daa545e423fec59bb16e20554e072d324ec0e5d2627505dcb90f9abe878","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a621daa545e423fec59bb16e20554e072d324ec0e5d2627505dcb90f9abe878","first_computed_at":"2026-05-17T23:55:41.563794Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:55:41.563794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1Uc0wYbzScvFCHYr8buUgOqd4KJGT0xsEY3dIOu77wOOSqTwUlw248KnpCNtKkrnNS/Ys1etK+yF37QDGov/CA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:55:41.564332Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.07757","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3694069c46fc9554ac5cddee29eb3804947746dfb9f4af8a47408bad0c9d826","sha256:14e20d2b0aa4981acfe58e1995460a4d1f2cc279a2a02ddf1caa8cdc88e7ad25"],"state_sha256":"e6116e1fd8d7d34bb14cf37175014cbb07d0f9b7d8927c50ab2db9a548343986"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xEA+mKNAFhhq/Re30vp9Epcc9mJ5puKfjsFRdxcr/+d6V84/7GRbKkVTXImkA0ZeRRSGvo9dXlmKZK/ipOq2Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T19:43:31.450459Z","bundle_sha256":"36b6bf1b4f5f7cb38e9fb2a7a57c962421c1e0eba6fd937748778ae24e15f765"}}