{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:XHPOUCOWEM64TZQV4BT26FC3GI","short_pith_number":"pith:XHPOUCOW","canonical_record":{"source":{"id":"1711.03213","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-08T23:54:52Z","cross_cats_sorted":[],"title_canon_sha256":"99706508c542077dcd06423937eecad1c31dec981c52a0999e0b9e5c2d191666","abstract_canon_sha256":"850669fd73cdc27aec4a84d48672e64b749b4ade2c562f7899f1fb95d170a722"},"schema_version":"1.0"},"canonical_sha256":"b9deea09d6233dc9e615e067af145b322b6568dc5a8e96f090514d3985762d0e","source":{"kind":"arxiv","id":"1711.03213","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.03213","created_at":"2026-05-18T00:27:04Z"},{"alias_kind":"arxiv_version","alias_value":"1711.03213v3","created_at":"2026-05-18T00:27:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.03213","created_at":"2026-05-18T00:27:04Z"},{"alias_kind":"pith_short_12","alias_value":"XHPOUCOWEM64","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"XHPOUCOWEM64TZQV","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"XHPOUCOW","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:XHPOUCOWEM64TZQV4BT26FC3GI","target":"record","payload":{"canonical_record":{"source":{"id":"1711.03213","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-08T23:54:52Z","cross_cats_sorted":[],"title_canon_sha256":"99706508c542077dcd06423937eecad1c31dec981c52a0999e0b9e5c2d191666","abstract_canon_sha256":"850669fd73cdc27aec4a84d48672e64b749b4ade2c562f7899f1fb95d170a722"},"schema_version":"1.0"},"canonical_sha256":"b9deea09d6233dc9e615e067af145b322b6568dc5a8e96f090514d3985762d0e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:04.364977Z","signature_b64":"w/XvFxga/Lnttmf9N/fHfODBczz2oUwOkwZknM/wCXjCGthBA5S6MgcF+olS3+5RPEGUTzO4Vpje9UuZDLHDDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9deea09d6233dc9e615e067af145b322b6568dc5a8e96f090514d3985762d0e","last_reissued_at":"2026-05-18T00:27:04.364376Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:04.364376Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.03213","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":"2026-05-18T00:27:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cM9edKOlOZOspHdVHHkgxUV1SCHD7kC9hYQbIWx+sgED8Fl3SuHe6iRMzziwyhB6OacY/JBlpNBuKucyDbwrBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T16:27:37.695085Z"},"content_sha256":"3260258bc29977be9ea957d68085083cc9e3171cecb4b115a3dffec011b86eee","schema_version":"1.0","event_id":"sha256:3260258bc29977be9ea957d68085083cc9e3171cecb4b115a3dffec011b86eee"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:XHPOUCOWEM64TZQV4BT26FC3GI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexei A. Efros, Eric Tzeng, Judy Hoffman, Jun-Yan Zhu, Kate Saenko, Phillip Isola, Taesung Park, Trevor Darrell","submitted_at":"2017-11-08T23:54:52Z","abstract_excerpt":"Domain adaptation is critical for success in new, unseen environments. Adversarial adaptation models applied in feature spaces discover domain invariant representations, but are difficult to visualize and sometimes fail to capture pixel-level and low-level domain shifts. Recent work has shown that generative adversarial networks combined with cycle-consistency constraints are surprisingly effective at mapping images between domains, even without the use of aligned image pairs. We propose a novel discriminatively-trained Cycle-Consistent Adversarial Domain Adaptation model. CyCADA adapts repres"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.03213","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":"2026-05-18T00:27:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fYdNxNFF9zJOdJztDwiTi05i1IQSFvDlnczMq0N7wWdA+vc2ssnwFaRLYJyD0LZdMZHEKN5Cjlq1VYLZjDw9CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T16:27:37.695734Z"},"content_sha256":"c250fb456673ebb11db3d31126f065a4eba2984374905d5b5ccff9c2daabfc6b","schema_version":"1.0","event_id":"sha256:c250fb456673ebb11db3d31126f065a4eba2984374905d5b5ccff9c2daabfc6b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XHPOUCOWEM64TZQV4BT26FC3GI/bundle.json","state_url":"https://pith.science/pith/XHPOUCOWEM64TZQV4BT26FC3GI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XHPOUCOWEM64TZQV4BT26FC3GI/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":"2026-05-22T16:27:37Z","links":{"resolver":"https://pith.science/pith/XHPOUCOWEM64TZQV4BT26FC3GI","bundle":"https://pith.science/pith/XHPOUCOWEM64TZQV4BT26FC3GI/bundle.json","state":"https://pith.science/pith/XHPOUCOWEM64TZQV4BT26FC3GI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XHPOUCOWEM64TZQV4BT26FC3GI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XHPOUCOWEM64TZQV4BT26FC3GI","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":"850669fd73cdc27aec4a84d48672e64b749b4ade2c562f7899f1fb95d170a722","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-08T23:54:52Z","title_canon_sha256":"99706508c542077dcd06423937eecad1c31dec981c52a0999e0b9e5c2d191666"},"schema_version":"1.0","source":{"id":"1711.03213","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.03213","created_at":"2026-05-18T00:27:04Z"},{"alias_kind":"arxiv_version","alias_value":"1711.03213v3","created_at":"2026-05-18T00:27:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.03213","created_at":"2026-05-18T00:27:04Z"},{"alias_kind":"pith_short_12","alias_value":"XHPOUCOWEM64","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"XHPOUCOWEM64TZQV","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"XHPOUCOW","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:c250fb456673ebb11db3d31126f065a4eba2984374905d5b5ccff9c2daabfc6b","target":"graph","created_at":"2026-05-18T00:27:04Z","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":"Domain adaptation is critical for success in new, unseen environments. Adversarial adaptation models applied in feature spaces discover domain invariant representations, but are difficult to visualize and sometimes fail to capture pixel-level and low-level domain shifts. Recent work has shown that generative adversarial networks combined with cycle-consistency constraints are surprisingly effective at mapping images between domains, even without the use of aligned image pairs. We propose a novel discriminatively-trained Cycle-Consistent Adversarial Domain Adaptation model. CyCADA adapts repres","authors_text":"Alexei A. Efros, Eric Tzeng, Judy Hoffman, Jun-Yan Zhu, Kate Saenko, Phillip Isola, Taesung Park, Trevor Darrell","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-08T23:54:52Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.03213","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":"sha256:3260258bc29977be9ea957d68085083cc9e3171cecb4b115a3dffec011b86eee","target":"record","created_at":"2026-05-18T00:27:04Z","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":"850669fd73cdc27aec4a84d48672e64b749b4ade2c562f7899f1fb95d170a722","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-08T23:54:52Z","title_canon_sha256":"99706508c542077dcd06423937eecad1c31dec981c52a0999e0b9e5c2d191666"},"schema_version":"1.0","source":{"id":"1711.03213","kind":"arxiv","version":3}},"canonical_sha256":"b9deea09d6233dc9e615e067af145b322b6568dc5a8e96f090514d3985762d0e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9deea09d6233dc9e615e067af145b322b6568dc5a8e96f090514d3985762d0e","first_computed_at":"2026-05-18T00:27:04.364376Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:27:04.364376Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w/XvFxga/Lnttmf9N/fHfODBczz2oUwOkwZknM/wCXjCGthBA5S6MgcF+olS3+5RPEGUTzO4Vpje9UuZDLHDDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:27:04.364977Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.03213","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3260258bc29977be9ea957d68085083cc9e3171cecb4b115a3dffec011b86eee","sha256:c250fb456673ebb11db3d31126f065a4eba2984374905d5b5ccff9c2daabfc6b"],"state_sha256":"2796942d27dcfc0726db6f1410a2699824852b560eeda2a61cadd0f35a12d64a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v+ecUdc0M/dOLab1u3xdQdEeSaDLmCnnyJRKhZWQOl5dyCjnmvL2yW8jzWZD9bZD++w9ol4zwmiT0IIi2W+SAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T16:27:37.699070Z","bundle_sha256":"b7d3b7703800851d46535539cb3214e4fd752233efa29bf1f9dd473ad97af3ea"}}