{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:5HZAEJJSUXJ7YR3H55IBOY5YDE","short_pith_number":"pith:5HZAEJJS","canonical_record":{"source":{"id":"2106.00209","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-01T03:58:18Z","cross_cats_sorted":[],"title_canon_sha256":"4fbdb7768abf44a8c066085c5f7efcc6ad205a0ddc7521029d347d5b63446d80","abstract_canon_sha256":"6962018c111418cc7399ab5cbe01b6fbebb45d41a38ab35b6fb9c74fe5162ccb"},"schema_version":"1.0"},"canonical_sha256":"e9f2022532a5d3fc4767ef501763b8191e79bbe3577c84f661911b3f0b76efe4","source":{"kind":"arxiv","id":"2106.00209","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.00209","created_at":"2026-07-05T03:39:59Z"},{"alias_kind":"arxiv_version","alias_value":"2106.00209v2","created_at":"2026-07-05T03:39:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.00209","created_at":"2026-07-05T03:39:59Z"},{"alias_kind":"pith_short_12","alias_value":"5HZAEJJSUXJ7","created_at":"2026-07-05T03:39:59Z"},{"alias_kind":"pith_short_16","alias_value":"5HZAEJJSUXJ7YR3H","created_at":"2026-07-05T03:39:59Z"},{"alias_kind":"pith_short_8","alias_value":"5HZAEJJS","created_at":"2026-07-05T03:39:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:5HZAEJJSUXJ7YR3H55IBOY5YDE","target":"record","payload":{"canonical_record":{"source":{"id":"2106.00209","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-01T03:58:18Z","cross_cats_sorted":[],"title_canon_sha256":"4fbdb7768abf44a8c066085c5f7efcc6ad205a0ddc7521029d347d5b63446d80","abstract_canon_sha256":"6962018c111418cc7399ab5cbe01b6fbebb45d41a38ab35b6fb9c74fe5162ccb"},"schema_version":"1.0"},"canonical_sha256":"e9f2022532a5d3fc4767ef501763b8191e79bbe3577c84f661911b3f0b76efe4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:39:59.429853Z","signature_b64":"S66Mw3TCjN3oxi4mOWJMf7ehpvePL83vaQVB+zqdTqxwAbX1XwthO1k9IdcJi5HaGZTuXVkGkYbG7KtXwlbgBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9f2022532a5d3fc4767ef501763b8191e79bbe3577c84f661911b3f0b76efe4","last_reissued_at":"2026-07-05T03:39:59.429443Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:39:59.429443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.00209","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:39:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MVhYFm1zKS3UyvDiK9+MKVlnZhtTHp4UUxJUtn+2noOm3m3qGtCMXonw1+/VidBgaq3EgLprN/2d9/J/a6A6AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T14:09:11.511795Z"},"content_sha256":"93a23593790d12879e2e8e17c626bd00d327a12a77311f321d92331349f5db3f","schema_version":"1.0","event_id":"sha256:93a23593790d12879e2e8e17c626bd00d327a12a77311f321d92331349f5db3f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:5HZAEJJSUXJ7YR3H55IBOY5YDE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adam Kortylewski, Alan Yuille, Changhu Wang, Cheng Yang, Ju He, Shaokang Yang, Shuai Liu","submitted_at":"2021-06-01T03:58:18Z","abstract_excerpt":"Semi-Supervised Learning (SSL) has shown its strong ability in utilizing unlabeled data when labeled data is scarce. However, most SSL algorithms work under the assumption that the class distributions are balanced in both training and test sets. In this work, we consider the problem of SSL on class-imbalanced data, which better reflects real-world situations. In particular, we decouple the training of the representation and the classifier, and systematically investigate the effects of different data re-sampling techniques when training the whole network including a classifier as well as fine-t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.00209","kind":"arxiv","version":2},"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/2106.00209/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":"2026-07-05T03:39:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fgvbt+iqXXHWYzGZUPzsBzITI26XvWcxgnp1MQNP/qNoNK6luDb9rY1391hVOWZt4k9pciqOzHrwU2adImBuDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T14:09:11.512652Z"},"content_sha256":"25d168e723dab3af47b05ebe0b30d13b1ba965c894dc4847ebb61b3fbc432e12","schema_version":"1.0","event_id":"sha256:25d168e723dab3af47b05ebe0b30d13b1ba965c894dc4847ebb61b3fbc432e12"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5HZAEJJSUXJ7YR3H55IBOY5YDE/bundle.json","state_url":"https://pith.science/pith/5HZAEJJSUXJ7YR3H55IBOY5YDE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5HZAEJJSUXJ7YR3H55IBOY5YDE/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":"2026-08-22T14:09:11Z","links":{"resolver":"https://pith.science/pith/5HZAEJJSUXJ7YR3H55IBOY5YDE","bundle":"https://pith.science/pith/5HZAEJJSUXJ7YR3H55IBOY5YDE/bundle.json","state":"https://pith.science/pith/5HZAEJJSUXJ7YR3H55IBOY5YDE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5HZAEJJSUXJ7YR3H55IBOY5YDE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:5HZAEJJSUXJ7YR3H55IBOY5YDE","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":"6962018c111418cc7399ab5cbe01b6fbebb45d41a38ab35b6fb9c74fe5162ccb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-01T03:58:18Z","title_canon_sha256":"4fbdb7768abf44a8c066085c5f7efcc6ad205a0ddc7521029d347d5b63446d80"},"schema_version":"1.0","source":{"id":"2106.00209","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.00209","created_at":"2026-07-05T03:39:59Z"},{"alias_kind":"arxiv_version","alias_value":"2106.00209v2","created_at":"2026-07-05T03:39:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.00209","created_at":"2026-07-05T03:39:59Z"},{"alias_kind":"pith_short_12","alias_value":"5HZAEJJSUXJ7","created_at":"2026-07-05T03:39:59Z"},{"alias_kind":"pith_short_16","alias_value":"5HZAEJJSUXJ7YR3H","created_at":"2026-07-05T03:39:59Z"},{"alias_kind":"pith_short_8","alias_value":"5HZAEJJS","created_at":"2026-07-05T03:39:59Z"}],"graph_snapshots":[{"event_id":"sha256:25d168e723dab3af47b05ebe0b30d13b1ba965c894dc4847ebb61b3fbc432e12","target":"graph","created_at":"2026-07-05T03:39:59Z","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/2106.00209/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semi-Supervised Learning (SSL) has shown its strong ability in utilizing unlabeled data when labeled data is scarce. However, most SSL algorithms work under the assumption that the class distributions are balanced in both training and test sets. In this work, we consider the problem of SSL on class-imbalanced data, which better reflects real-world situations. In particular, we decouple the training of the representation and the classifier, and systematically investigate the effects of different data re-sampling techniques when training the whole network including a classifier as well as fine-t","authors_text":"Adam Kortylewski, Alan Yuille, Changhu Wang, Cheng Yang, Ju He, Shaokang Yang, Shuai Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-01T03:58:18Z","title":"Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.00209","kind":"arxiv","version":2},"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":"sha256:93a23593790d12879e2e8e17c626bd00d327a12a77311f321d92331349f5db3f","target":"record","created_at":"2026-07-05T03:39:59Z","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":"6962018c111418cc7399ab5cbe01b6fbebb45d41a38ab35b6fb9c74fe5162ccb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-01T03:58:18Z","title_canon_sha256":"4fbdb7768abf44a8c066085c5f7efcc6ad205a0ddc7521029d347d5b63446d80"},"schema_version":"1.0","source":{"id":"2106.00209","kind":"arxiv","version":2}},"canonical_sha256":"e9f2022532a5d3fc4767ef501763b8191e79bbe3577c84f661911b3f0b76efe4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9f2022532a5d3fc4767ef501763b8191e79bbe3577c84f661911b3f0b76efe4","first_computed_at":"2026-07-05T03:39:59.429443Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:39:59.429443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S66Mw3TCjN3oxi4mOWJMf7ehpvePL83vaQVB+zqdTqxwAbX1XwthO1k9IdcJi5HaGZTuXVkGkYbG7KtXwlbgBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:39:59.429853Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.00209","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93a23593790d12879e2e8e17c626bd00d327a12a77311f321d92331349f5db3f","sha256:25d168e723dab3af47b05ebe0b30d13b1ba965c894dc4847ebb61b3fbc432e12"],"state_sha256":"40a10f9f4af8ef5ef9ebb7200714b6852d2eb9fad1804b8a47f1b0ff215dc937"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ub81I5aJ1vSRVT1sc8U90EL3VbdVRjZvr572wUMEWfswOZ/n61Rq6pXd3EzulfEESY0sy5AXSu0sJ7UVY370BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T14:09:11.517687Z","bundle_sha256":"d0edb43a458eb16f465440523e418332bb52413451ad8e10fb7a833a40c73433"}}