{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:XKYP7JHFIHZFQ5HSWTISFQZFMK","short_pith_number":"pith:XKYP7JHF","canonical_record":{"source":{"id":"1509.01719","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-05T17:12:21Z","cross_cats_sorted":[],"title_canon_sha256":"e63aace1d3c5394c8d0443e66b607efe21b70d6886e611e2ed97bb24af8cf72a","abstract_canon_sha256":"1cf149e26dd3a4acb85e175034c19a1a7d5608e72f23d9ffbbc85f33fcc11f5b"},"schema_version":"1.0"},"canonical_sha256":"bab0ffa4e541f25874f2b4d122c3256293c3ee015897584a2c0419c5d7dbffd9","source":{"kind":"arxiv","id":"1509.01719","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.01719","created_at":"2026-05-18T01:33:50Z"},{"alias_kind":"arxiv_version","alias_value":"1509.01719v1","created_at":"2026-05-18T01:33:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.01719","created_at":"2026-05-18T01:33:50Z"},{"alias_kind":"pith_short_12","alias_value":"XKYP7JHFIHZF","created_at":"2026-05-18T12:29:50Z"},{"alias_kind":"pith_short_16","alias_value":"XKYP7JHFIHZFQ5HS","created_at":"2026-05-18T12:29:50Z"},{"alias_kind":"pith_short_8","alias_value":"XKYP7JHF","created_at":"2026-05-18T12:29:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:XKYP7JHFIHZFQ5HSWTISFQZFMK","target":"record","payload":{"canonical_record":{"source":{"id":"1509.01719","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-05T17:12:21Z","cross_cats_sorted":[],"title_canon_sha256":"e63aace1d3c5394c8d0443e66b607efe21b70d6886e611e2ed97bb24af8cf72a","abstract_canon_sha256":"1cf149e26dd3a4acb85e175034c19a1a7d5608e72f23d9ffbbc85f33fcc11f5b"},"schema_version":"1.0"},"canonical_sha256":"bab0ffa4e541f25874f2b4d122c3256293c3ee015897584a2c0419c5d7dbffd9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:33:50.773970Z","signature_b64":"+ymQI8LSPZVxm16T5HOKACrt5KASTq04//7UOxaoEYETwjDjlrKmitfeBQ5aOHG7wGtw38CD5fnTxcEKP7vADQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bab0ffa4e541f25874f2b4d122c3256293c3ee015897584a2c0419c5d7dbffd9","last_reissued_at":"2026-05-18T01:33:50.773440Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:33:50.773440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1509.01719","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":"2026-05-18T01:33:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l+DZvkE0sxG/UwU2xhyia76Ad2KtCFA5Jr0hS6Av8vSCb5GWcW+01PjmwB7rmYk66XDZ1Th9q96dwb0IFKWQCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T04:01:29.163659Z"},"content_sha256":"32011eeeef23eb0da50f18b8216721ea0ca21e35e143ed1cf4f12a03427646ae","schema_version":"1.0","event_id":"sha256:32011eeeef23eb0da50f18b8216721ea0ca21e35e143ed1cf4f12a03427646ae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:XKYP7JHFIHZFQ5HSWTISFQZFMK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jing Chen, Lingfeng Zhang, Song Wang, Youjie Zhou, Yuan Yan Tang, Yu Cao, Yuewei Lin","submitted_at":"2015-09-05T17:12:21Z","abstract_excerpt":"This paper introduces a new method to solve the cross-domain recognition problem. Different from the traditional domain adaption methods which rely on a global domain shift for all classes between source and target domain, the proposed method is more flexible to capture individual class variations across domains. By adopting a natural and widely used assumption -- \"the data samples from the same class should lay on a low-dimensional subspace, even if they come from different domains\", the proposed method circumvents the limitation of the global domain shift, and solves the cross-domain recogni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.01719","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":"2026-05-18T01:33:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jpkxbe7lFxFqyPOPMXM9qJm98jpUef0adE5TZmwGZUPdblnMp5PzbnD9X7uij/jkF7smNXl/xXOGU8+GKKSsDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T04:01:29.164001Z"},"content_sha256":"40c994eeab557d2dd56ca102e3e1bd0c6d6ca298ce8020105a69b42bdc9932fb","schema_version":"1.0","event_id":"sha256:40c994eeab557d2dd56ca102e3e1bd0c6d6ca298ce8020105a69b42bdc9932fb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XKYP7JHFIHZFQ5HSWTISFQZFMK/bundle.json","state_url":"https://pith.science/pith/XKYP7JHFIHZFQ5HSWTISFQZFMK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XKYP7JHFIHZFQ5HSWTISFQZFMK/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":"2026-06-04T04:01:29Z","links":{"resolver":"https://pith.science/pith/XKYP7JHFIHZFQ5HSWTISFQZFMK","bundle":"https://pith.science/pith/XKYP7JHFIHZFQ5HSWTISFQZFMK/bundle.json","state":"https://pith.science/pith/XKYP7JHFIHZFQ5HSWTISFQZFMK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XKYP7JHFIHZFQ5HSWTISFQZFMK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:XKYP7JHFIHZFQ5HSWTISFQZFMK","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":"1cf149e26dd3a4acb85e175034c19a1a7d5608e72f23d9ffbbc85f33fcc11f5b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-05T17:12:21Z","title_canon_sha256":"e63aace1d3c5394c8d0443e66b607efe21b70d6886e611e2ed97bb24af8cf72a"},"schema_version":"1.0","source":{"id":"1509.01719","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.01719","created_at":"2026-05-18T01:33:50Z"},{"alias_kind":"arxiv_version","alias_value":"1509.01719v1","created_at":"2026-05-18T01:33:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.01719","created_at":"2026-05-18T01:33:50Z"},{"alias_kind":"pith_short_12","alias_value":"XKYP7JHFIHZF","created_at":"2026-05-18T12:29:50Z"},{"alias_kind":"pith_short_16","alias_value":"XKYP7JHFIHZFQ5HS","created_at":"2026-05-18T12:29:50Z"},{"alias_kind":"pith_short_8","alias_value":"XKYP7JHF","created_at":"2026-05-18T12:29:50Z"}],"graph_snapshots":[{"event_id":"sha256:40c994eeab557d2dd56ca102e3e1bd0c6d6ca298ce8020105a69b42bdc9932fb","target":"graph","created_at":"2026-05-18T01:33:50Z","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 introduces a new method to solve the cross-domain recognition problem. Different from the traditional domain adaption methods which rely on a global domain shift for all classes between source and target domain, the proposed method is more flexible to capture individual class variations across domains. By adopting a natural and widely used assumption -- \"the data samples from the same class should lay on a low-dimensional subspace, even if they come from different domains\", the proposed method circumvents the limitation of the global domain shift, and solves the cross-domain recogni","authors_text":"Jing Chen, Lingfeng Zhang, Song Wang, Youjie Zhou, Yuan Yan Tang, Yu Cao, Yuewei Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-05T17:12:21Z","title":"Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.01719","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":"sha256:32011eeeef23eb0da50f18b8216721ea0ca21e35e143ed1cf4f12a03427646ae","target":"record","created_at":"2026-05-18T01:33:50Z","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":"1cf149e26dd3a4acb85e175034c19a1a7d5608e72f23d9ffbbc85f33fcc11f5b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-05T17:12:21Z","title_canon_sha256":"e63aace1d3c5394c8d0443e66b607efe21b70d6886e611e2ed97bb24af8cf72a"},"schema_version":"1.0","source":{"id":"1509.01719","kind":"arxiv","version":1}},"canonical_sha256":"bab0ffa4e541f25874f2b4d122c3256293c3ee015897584a2c0419c5d7dbffd9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bab0ffa4e541f25874f2b4d122c3256293c3ee015897584a2c0419c5d7dbffd9","first_computed_at":"2026-05-18T01:33:50.773440Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:33:50.773440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+ymQI8LSPZVxm16T5HOKACrt5KASTq04//7UOxaoEYETwjDjlrKmitfeBQ5aOHG7wGtw38CD5fnTxcEKP7vADQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:33:50.773970Z","signed_message":"canonical_sha256_bytes"},"source_id":"1509.01719","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32011eeeef23eb0da50f18b8216721ea0ca21e35e143ed1cf4f12a03427646ae","sha256:40c994eeab557d2dd56ca102e3e1bd0c6d6ca298ce8020105a69b42bdc9932fb"],"state_sha256":"cffe6f8ad1547bab0c2c97cba1b07710bc9cdad7a7be7a39e3cb2c6439201a5b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5HPj2I+VavqXcfAxHZ+sNE9klUPOk3aYKuYJMxQvVk5stDtWLCNbkKFAMmjQjAbYwA52uhv15utWspTjocpTCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T04:01:29.165922Z","bundle_sha256":"e4487306e5b489e53624e7ca548c2789d75ab6ccfaee3377fc66fa8dc2554f86"}}