{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:XBI2OD4HCLVZS35LUO5KHHOYOJ","short_pith_number":"pith:XBI2OD4H","canonical_record":{"source":{"id":"2208.07360","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-15T17:55:26Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2b1c4370bc257f40ec779295ea7277c286971862f20fb31824d8c5e6e73ad87a","abstract_canon_sha256":"2e64887fac7834ba1ec66e3626f91df0f6266a0400209f09eeea73dbd3297459"},"schema_version":"1.0"},"canonical_sha256":"b851a70f8712eb996faba3baa39dd8726513bb7e2ef9afc105ae4a8a74593630","source":{"kind":"arxiv","id":"2208.07360","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.07360","created_at":"2026-07-05T06:11:16Z"},{"alias_kind":"arxiv_version","alias_value":"2208.07360v4","created_at":"2026-07-05T06:11:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.07360","created_at":"2026-07-05T06:11:16Z"},{"alias_kind":"pith_short_12","alias_value":"XBI2OD4HCLVZ","created_at":"2026-07-05T06:11:16Z"},{"alias_kind":"pith_short_16","alias_value":"XBI2OD4HCLVZS35L","created_at":"2026-07-05T06:11:16Z"},{"alias_kind":"pith_short_8","alias_value":"XBI2OD4H","created_at":"2026-07-05T06:11:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:XBI2OD4HCLVZS35LUO5KHHOYOJ","target":"record","payload":{"canonical_record":{"source":{"id":"2208.07360","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-15T17:55:26Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2b1c4370bc257f40ec779295ea7277c286971862f20fb31824d8c5e6e73ad87a","abstract_canon_sha256":"2e64887fac7834ba1ec66e3626f91df0f6266a0400209f09eeea73dbd3297459"},"schema_version":"1.0"},"canonical_sha256":"b851a70f8712eb996faba3baa39dd8726513bb7e2ef9afc105ae4a8a74593630","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:11:16.632912Z","signature_b64":"mh4BcWzlfLAT6J2L8GbjWr5VlsHJP5cpXdDfSwZhzEmUv613bZ6PLw2pVR2lDROraNzGFNXKMeV+EEwRZ7Z/DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b851a70f8712eb996faba3baa39dd8726513bb7e2ef9afc105ae4a8a74593630","last_reissued_at":"2026-07-05T06:11:16.632488Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:11:16.632488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.07360","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:11:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pgZUbuFv7VIXEEPFvY8/meB3TCIMTLSsSv++tNNcv+qWHa3gHvTXYK0Qls5PKzRYBG4qXFG0lszmhAHjzb6ADA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T15:53:02.514176Z"},"content_sha256":"e41b5380f624c90b2c4100791795de45ece910be8ca06ba93c7e090c992f50dc","schema_version":"1.0","event_id":"sha256:e41b5380f624c90b2c4100791795de45ece910be8ca06ba93c7e090c992f50dc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:XBI2OD4HCLVZS35LUO5KHHOYOJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Three New Validators and a Large-Scale Benchmark Ranking for Unsupervised Domain Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Kevin Musgrave, Serge Belongie, Ser-Nam Lim","submitted_at":"2022-08-15T17:55:26Z","abstract_excerpt":"Changes to hyperparameters can have a dramatic effect on model accuracy. Thus, the tuning of hyperparameters plays an important role in optimizing machine-learning models. An integral part of the hyperparameter-tuning process is the evaluation of model checkpoints, which is done through the use of \"validators\". In a supervised setting, these validators evaluate checkpoints by computing accuracy on a validation set that has labels. In contrast, in an unsupervised setting, the validation set has no such labels. Without any labels, it is impossible to compute accuracy, so validators must estimate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.07360","kind":"arxiv","version":4},"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/2208.07360/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":"2026-07-05T06:11:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/ZYiGOuTbRDpVY4M/oUy8s5eZsGPvwykaJbnaCHvDA7JLEoWe8pxamwz7n7/bCQeHcHRlvhNnzcOWUasad3bDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T15:53:02.514566Z"},"content_sha256":"7f173b8e9a0b6143633bea576c6be631d853268d874b047b2d554cdb9528cfa9","schema_version":"1.0","event_id":"sha256:7f173b8e9a0b6143633bea576c6be631d853268d874b047b2d554cdb9528cfa9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XBI2OD4HCLVZS35LUO5KHHOYOJ/bundle.json","state_url":"https://pith.science/pith/XBI2OD4HCLVZS35LUO5KHHOYOJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XBI2OD4HCLVZS35LUO5KHHOYOJ/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":"2026-08-01T15:53:02Z","links":{"resolver":"https://pith.science/pith/XBI2OD4HCLVZS35LUO5KHHOYOJ","bundle":"https://pith.science/pith/XBI2OD4HCLVZS35LUO5KHHOYOJ/bundle.json","state":"https://pith.science/pith/XBI2OD4HCLVZS35LUO5KHHOYOJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XBI2OD4HCLVZS35LUO5KHHOYOJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:XBI2OD4HCLVZS35LUO5KHHOYOJ","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":"2e64887fac7834ba1ec66e3626f91df0f6266a0400209f09eeea73dbd3297459","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-15T17:55:26Z","title_canon_sha256":"2b1c4370bc257f40ec779295ea7277c286971862f20fb31824d8c5e6e73ad87a"},"schema_version":"1.0","source":{"id":"2208.07360","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.07360","created_at":"2026-07-05T06:11:16Z"},{"alias_kind":"arxiv_version","alias_value":"2208.07360v4","created_at":"2026-07-05T06:11:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.07360","created_at":"2026-07-05T06:11:16Z"},{"alias_kind":"pith_short_12","alias_value":"XBI2OD4HCLVZ","created_at":"2026-07-05T06:11:16Z"},{"alias_kind":"pith_short_16","alias_value":"XBI2OD4HCLVZS35L","created_at":"2026-07-05T06:11:16Z"},{"alias_kind":"pith_short_8","alias_value":"XBI2OD4H","created_at":"2026-07-05T06:11:16Z"}],"graph_snapshots":[{"event_id":"sha256:7f173b8e9a0b6143633bea576c6be631d853268d874b047b2d554cdb9528cfa9","target":"graph","created_at":"2026-07-05T06:11:16Z","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/2208.07360/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Changes to hyperparameters can have a dramatic effect on model accuracy. Thus, the tuning of hyperparameters plays an important role in optimizing machine-learning models. An integral part of the hyperparameter-tuning process is the evaluation of model checkpoints, which is done through the use of \"validators\". In a supervised setting, these validators evaluate checkpoints by computing accuracy on a validation set that has labels. In contrast, in an unsupervised setting, the validation set has no such labels. Without any labels, it is impossible to compute accuracy, so validators must estimate","authors_text":"Kevin Musgrave, Serge Belongie, Ser-Nam Lim","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-15T17:55:26Z","title":"Three New Validators and a Large-Scale Benchmark Ranking for Unsupervised Domain Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.07360","kind":"arxiv","version":4},"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:e41b5380f624c90b2c4100791795de45ece910be8ca06ba93c7e090c992f50dc","target":"record","created_at":"2026-07-05T06:11:16Z","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":"2e64887fac7834ba1ec66e3626f91df0f6266a0400209f09eeea73dbd3297459","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-15T17:55:26Z","title_canon_sha256":"2b1c4370bc257f40ec779295ea7277c286971862f20fb31824d8c5e6e73ad87a"},"schema_version":"1.0","source":{"id":"2208.07360","kind":"arxiv","version":4}},"canonical_sha256":"b851a70f8712eb996faba3baa39dd8726513bb7e2ef9afc105ae4a8a74593630","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b851a70f8712eb996faba3baa39dd8726513bb7e2ef9afc105ae4a8a74593630","first_computed_at":"2026-07-05T06:11:16.632488Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:11:16.632488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mh4BcWzlfLAT6J2L8GbjWr5VlsHJP5cpXdDfSwZhzEmUv613bZ6PLw2pVR2lDROraNzGFNXKMeV+EEwRZ7Z/DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:11:16.632912Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.07360","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e41b5380f624c90b2c4100791795de45ece910be8ca06ba93c7e090c992f50dc","sha256:7f173b8e9a0b6143633bea576c6be631d853268d874b047b2d554cdb9528cfa9"],"state_sha256":"05302fadc270a4f520bcaa3eb9b832a7bdf6375a8ee559eba59a66f937c0a75c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Eovn2kdfz+h4VkoLPYwAdsEj8VO6D+A6RsDqHFDGLMrEw6tUDTXYwsZibvLXJ9lJSBndZGkAzlpMx38oScbSCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T15:53:02.517008Z","bundle_sha256":"c1110bf6e63e6e6b5fa0ecea4234f2257a3db3a0178ed7d967f659206866b393"}}