{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:47LXTM7YIUUI7L5ZBMZ5YAAKMB","short_pith_number":"pith:47LXTM7Y","canonical_record":{"source":{"id":"2010.07539","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T06:03:47Z","cross_cats_sorted":[],"title_canon_sha256":"7926120b1318616a01d8103556ee0e009249f049da3d289cf653087d57d74d55","abstract_canon_sha256":"a719546f715e40c7a525fddc88d35b023aef0b7822049584759491bc2210ea42"},"schema_version":"1.0"},"canonical_sha256":"e7d779b3f845288fafb90b33dc000a60566191038996f1b18a56c909903aed4d","source":{"kind":"arxiv","id":"2010.07539","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.07539","created_at":"2026-07-05T01:43:18Z"},{"alias_kind":"arxiv_version","alias_value":"2010.07539v1","created_at":"2026-07-05T01:43:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.07539","created_at":"2026-07-05T01:43:18Z"},{"alias_kind":"pith_short_12","alias_value":"47LXTM7YIUUI","created_at":"2026-07-05T01:43:18Z"},{"alias_kind":"pith_short_16","alias_value":"47LXTM7YIUUI7L5Z","created_at":"2026-07-05T01:43:18Z"},{"alias_kind":"pith_short_8","alias_value":"47LXTM7Y","created_at":"2026-07-05T01:43:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:47LXTM7YIUUI7L5ZBMZ5YAAKMB","target":"record","payload":{"canonical_record":{"source":{"id":"2010.07539","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T06:03:47Z","cross_cats_sorted":[],"title_canon_sha256":"7926120b1318616a01d8103556ee0e009249f049da3d289cf653087d57d74d55","abstract_canon_sha256":"a719546f715e40c7a525fddc88d35b023aef0b7822049584759491bc2210ea42"},"schema_version":"1.0"},"canonical_sha256":"e7d779b3f845288fafb90b33dc000a60566191038996f1b18a56c909903aed4d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:43:18.069899Z","signature_b64":"PPTzRZXuztLmjrRIzK51tef7IDHWdeMz3RSx8UlZGJmrN42SI8wDFSsd4neKhGQcvWcOwepdtOMWUELKqghADw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7d779b3f845288fafb90b33dc000a60566191038996f1b18a56c909903aed4d","last_reissued_at":"2026-07-05T01:43:18.069416Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:43:18.069416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.07539","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":"2026-07-05T01:43:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cCz7tEtJV7wst0gg2lNsqJnheueh14M9W2sVKfkTnBDrRa755+ChhyhZCxoUTKkPB9UqFcgy6Fqas4Fj7K+uAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T11:01:24.009986Z"},"content_sha256":"69649b4007269167fa96e0e24b1f78e240bbe59d3663b452d15fa74c509b64d1","schema_version":"1.0","event_id":"sha256:69649b4007269167fa96e0e24b1f78e240bbe59d3663b452d15fa74c509b64d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:47LXTM7YIUUI7L5ZBMZ5YAAKMB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-Supervised Domain Adaptation with Consistency Training","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"B. Dai, D. Zhao, J. Xu, L. Wang, L. Xiao, Y. Nie, Z. Wang","submitted_at":"2020-10-15T06:03:47Z","abstract_excerpt":"We consider the problem of unsupervised domain adaptation for image classification. To learn target-domain-aware features from the unlabeled data, we create a self-supervised pretext task by augmenting the unlabeled data with a certain type of transformation (specifically, image rotation) and ask the learner to predict the properties of the transformation. However, the obtained feature representation may contain a large amount of irrelevant information with respect to the main task. To provide further guidance, we force the feature representation of the augmented data to be consistent with tha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.07539","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2010.07539/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T01:43:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iVJuFTl3bZxw2U5M9JqoXaO8jFfbjQibLHUVjde+JCsj/Rkow0n+ri7V/xf6cDYaZTjqW03hrFeqBEkz+C6rDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T11:01:24.010371Z"},"content_sha256":"dfc3483a27d5df45d60eef55f6a77c81a6c176687b2d1ce54e2967ebdc87a30b","schema_version":"1.0","event_id":"sha256:dfc3483a27d5df45d60eef55f6a77c81a6c176687b2d1ce54e2967ebdc87a30b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/47LXTM7YIUUI7L5ZBMZ5YAAKMB/bundle.json","state_url":"https://pith.science/pith/47LXTM7YIUUI7L5ZBMZ5YAAKMB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/47LXTM7YIUUI7L5ZBMZ5YAAKMB/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":"2026-07-27T11:01:24Z","links":{"resolver":"https://pith.science/pith/47LXTM7YIUUI7L5ZBMZ5YAAKMB","bundle":"https://pith.science/pith/47LXTM7YIUUI7L5ZBMZ5YAAKMB/bundle.json","state":"https://pith.science/pith/47LXTM7YIUUI7L5ZBMZ5YAAKMB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/47LXTM7YIUUI7L5ZBMZ5YAAKMB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:47LXTM7YIUUI7L5ZBMZ5YAAKMB","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":"a719546f715e40c7a525fddc88d35b023aef0b7822049584759491bc2210ea42","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T06:03:47Z","title_canon_sha256":"7926120b1318616a01d8103556ee0e009249f049da3d289cf653087d57d74d55"},"schema_version":"1.0","source":{"id":"2010.07539","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.07539","created_at":"2026-07-05T01:43:18Z"},{"alias_kind":"arxiv_version","alias_value":"2010.07539v1","created_at":"2026-07-05T01:43:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.07539","created_at":"2026-07-05T01:43:18Z"},{"alias_kind":"pith_short_12","alias_value":"47LXTM7YIUUI","created_at":"2026-07-05T01:43:18Z"},{"alias_kind":"pith_short_16","alias_value":"47LXTM7YIUUI7L5Z","created_at":"2026-07-05T01:43:18Z"},{"alias_kind":"pith_short_8","alias_value":"47LXTM7Y","created_at":"2026-07-05T01:43:18Z"}],"graph_snapshots":[{"event_id":"sha256:dfc3483a27d5df45d60eef55f6a77c81a6c176687b2d1ce54e2967ebdc87a30b","target":"graph","created_at":"2026-07-05T01:43:18Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2010.07539/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We consider the problem of unsupervised domain adaptation for image classification. To learn target-domain-aware features from the unlabeled data, we create a self-supervised pretext task by augmenting the unlabeled data with a certain type of transformation (specifically, image rotation) and ask the learner to predict the properties of the transformation. However, the obtained feature representation may contain a large amount of irrelevant information with respect to the main task. To provide further guidance, we force the feature representation of the augmented data to be consistent with tha","authors_text":"B. Dai, D. Zhao, J. Xu, L. Wang, L. Xiao, Y. Nie, Z. Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T06:03:47Z","title":"Self-Supervised Domain Adaptation with Consistency Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.07539","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":"sha256:69649b4007269167fa96e0e24b1f78e240bbe59d3663b452d15fa74c509b64d1","target":"record","created_at":"2026-07-05T01:43:18Z","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":"a719546f715e40c7a525fddc88d35b023aef0b7822049584759491bc2210ea42","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T06:03:47Z","title_canon_sha256":"7926120b1318616a01d8103556ee0e009249f049da3d289cf653087d57d74d55"},"schema_version":"1.0","source":{"id":"2010.07539","kind":"arxiv","version":1}},"canonical_sha256":"e7d779b3f845288fafb90b33dc000a60566191038996f1b18a56c909903aed4d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7d779b3f845288fafb90b33dc000a60566191038996f1b18a56c909903aed4d","first_computed_at":"2026-07-05T01:43:18.069416Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:43:18.069416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PPTzRZXuztLmjrRIzK51tef7IDHWdeMz3RSx8UlZGJmrN42SI8wDFSsd4neKhGQcvWcOwepdtOMWUELKqghADw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:43:18.069899Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.07539","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69649b4007269167fa96e0e24b1f78e240bbe59d3663b452d15fa74c509b64d1","sha256:dfc3483a27d5df45d60eef55f6a77c81a6c176687b2d1ce54e2967ebdc87a30b"],"state_sha256":"17c6828a58eef1d30be31a53bb599775260a6a549e37bfd293222fd67e2ffa48"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cKz3DkkzZK4pg2Wb/ZNoyq1ubP8ulkU01eD+uiZ2Gwi7CvvmycsWgbMMEr6MICio2g+clggIrZnNbuSqezHHBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-27T11:01:24.012718Z","bundle_sha256":"e3c9586cb2dd34a8a3fc209cf779d3d5a795bd098352988b99f9ec7c80bc1bca"}}