{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NWHOC7MHMLNHGPKCH5GB2DK2QS","short_pith_number":"pith:NWHOC7MH","canonical_record":{"source":{"id":"2303.01283","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T14:07:36Z","cross_cats_sorted":[],"title_canon_sha256":"0c1c7d5c5c252dcf5f667324973da4123efcabad45a44e7b1bec628326cf93de","abstract_canon_sha256":"65823092bbe5d3cc3b805ee733885fa621bd8cea19c87675581ea2848c91c6a1"},"schema_version":"1.0"},"canonical_sha256":"6d8ee17d8762da733d423f4c1d0d5a849100c5d1f40caf69048a8b7d6d59eef7","source":{"kind":"arxiv","id":"2303.01283","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.01283","created_at":"2026-07-05T05:47:29Z"},{"alias_kind":"arxiv_version","alias_value":"2303.01283v1","created_at":"2026-07-05T05:47:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.01283","created_at":"2026-07-05T05:47:29Z"},{"alias_kind":"pith_short_12","alias_value":"NWHOC7MHMLNH","created_at":"2026-07-05T05:47:29Z"},{"alias_kind":"pith_short_16","alias_value":"NWHOC7MHMLNHGPKC","created_at":"2026-07-05T05:47:29Z"},{"alias_kind":"pith_short_8","alias_value":"NWHOC7MH","created_at":"2026-07-05T05:47:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NWHOC7MHMLNHGPKCH5GB2DK2QS","target":"record","payload":{"canonical_record":{"source":{"id":"2303.01283","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T14:07:36Z","cross_cats_sorted":[],"title_canon_sha256":"0c1c7d5c5c252dcf5f667324973da4123efcabad45a44e7b1bec628326cf93de","abstract_canon_sha256":"65823092bbe5d3cc3b805ee733885fa621bd8cea19c87675581ea2848c91c6a1"},"schema_version":"1.0"},"canonical_sha256":"6d8ee17d8762da733d423f4c1d0d5a849100c5d1f40caf69048a8b7d6d59eef7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:47:29.145332Z","signature_b64":"ETmiy0Rb4h4n3qxBMhHjNME+keqL5gAqmyOFOt02bpHf59t3uGp5A4C4+Jcn4oj9dRk9AyoB0OWd5olQ9cDSDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d8ee17d8762da733d423f4c1d0d5a849100c5d1f40caf69048a8b7d6d59eef7","last_reissued_at":"2026-07-05T05:47:29.144963Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:47:29.144963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.01283","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":"2026-07-05T05:47:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NCvFH8p9pz6OY77HF6NnarruofwmkGU9rpPmuQv8oGory5Nw0NFLj3/4R7kBvmZ+BMDBvABbjZzj+06l7BLwBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T15:11:39.999298Z"},"content_sha256":"5a7dba26cbb7f65e8694b9ab3df6df3b88e09cbdd41c1510265f10926247ebd9","schema_version":"1.0","event_id":"sha256:5a7dba26cbb7f65e8694b9ab3df6df3b88e09cbdd41c1510265f10926247ebd9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NWHOC7MHMLNHGPKCH5GB2DK2QS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Akihiko Yoshizawa, Hiroyuki Abe, Kazuhiro Terada, Kengo Araki, Mariyo Kurata, Naoki Nakajima, Ryoma Bise, Seiichi Uchida, Shota Harada, Tetsuo Ushiku","submitted_at":"2023-03-02T14:07:36Z","abstract_excerpt":"Semi-supervised domain adaptation is a technique to build a classifier for a target domain by modifying a classifier in another (source) domain using many unlabeled samples and a small number of labeled samples from the target domain. In this paper, we develop a semi-supervised domain adaptation method, which has robustness to class-imbalanced situations, which are common in medical image classification tasks. For robustness, we propose a weakly-supervised clustering pipeline to obtain high-purity clusters and utilize the clusters in representation learning for domain adaptation. The proposed "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.01283","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/2303.01283/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":"2026-07-05T05:47:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IqX1pK5isT3rBj1gK5uXqklaT/26NaaWIn7WIvENmp1RrAJVEoJwC72zbd+GlOr00QQr7EILwCAAah8RNf20DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T15:11:39.999827Z"},"content_sha256":"c1c55b15f5e1b871785f5094927b82661366227bad7fde14c4702a6b3a8e9a52","schema_version":"1.0","event_id":"sha256:c1c55b15f5e1b871785f5094927b82661366227bad7fde14c4702a6b3a8e9a52"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NWHOC7MHMLNHGPKCH5GB2DK2QS/bundle.json","state_url":"https://pith.science/pith/NWHOC7MHMLNHGPKCH5GB2DK2QS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NWHOC7MHMLNHGPKCH5GB2DK2QS/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":"2026-08-21T15:11:40Z","links":{"resolver":"https://pith.science/pith/NWHOC7MHMLNHGPKCH5GB2DK2QS","bundle":"https://pith.science/pith/NWHOC7MHMLNHGPKCH5GB2DK2QS/bundle.json","state":"https://pith.science/pith/NWHOC7MHMLNHGPKCH5GB2DK2QS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NWHOC7MHMLNHGPKCH5GB2DK2QS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NWHOC7MHMLNHGPKCH5GB2DK2QS","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":"65823092bbe5d3cc3b805ee733885fa621bd8cea19c87675581ea2848c91c6a1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T14:07:36Z","title_canon_sha256":"0c1c7d5c5c252dcf5f667324973da4123efcabad45a44e7b1bec628326cf93de"},"schema_version":"1.0","source":{"id":"2303.01283","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.01283","created_at":"2026-07-05T05:47:29Z"},{"alias_kind":"arxiv_version","alias_value":"2303.01283v1","created_at":"2026-07-05T05:47:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.01283","created_at":"2026-07-05T05:47:29Z"},{"alias_kind":"pith_short_12","alias_value":"NWHOC7MHMLNH","created_at":"2026-07-05T05:47:29Z"},{"alias_kind":"pith_short_16","alias_value":"NWHOC7MHMLNHGPKC","created_at":"2026-07-05T05:47:29Z"},{"alias_kind":"pith_short_8","alias_value":"NWHOC7MH","created_at":"2026-07-05T05:47:29Z"}],"graph_snapshots":[{"event_id":"sha256:c1c55b15f5e1b871785f5094927b82661366227bad7fde14c4702a6b3a8e9a52","target":"graph","created_at":"2026-07-05T05:47:29Z","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/2303.01283/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semi-supervised domain adaptation is a technique to build a classifier for a target domain by modifying a classifier in another (source) domain using many unlabeled samples and a small number of labeled samples from the target domain. In this paper, we develop a semi-supervised domain adaptation method, which has robustness to class-imbalanced situations, which are common in medical image classification tasks. For robustness, we propose a weakly-supervised clustering pipeline to obtain high-purity clusters and utilize the clusters in representation learning for domain adaptation. The proposed ","authors_text":"Akihiko Yoshizawa, Hiroyuki Abe, Kazuhiro Terada, Kengo Araki, Mariyo Kurata, Naoki Nakajima, Ryoma Bise, Seiichi Uchida, Shota Harada, Tetsuo Ushiku","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T14:07:36Z","title":"Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.01283","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":"sha256:5a7dba26cbb7f65e8694b9ab3df6df3b88e09cbdd41c1510265f10926247ebd9","target":"record","created_at":"2026-07-05T05:47:29Z","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":"65823092bbe5d3cc3b805ee733885fa621bd8cea19c87675581ea2848c91c6a1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T14:07:36Z","title_canon_sha256":"0c1c7d5c5c252dcf5f667324973da4123efcabad45a44e7b1bec628326cf93de"},"schema_version":"1.0","source":{"id":"2303.01283","kind":"arxiv","version":1}},"canonical_sha256":"6d8ee17d8762da733d423f4c1d0d5a849100c5d1f40caf69048a8b7d6d59eef7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6d8ee17d8762da733d423f4c1d0d5a849100c5d1f40caf69048a8b7d6d59eef7","first_computed_at":"2026-07-05T05:47:29.144963Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:47:29.144963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ETmiy0Rb4h4n3qxBMhHjNME+keqL5gAqmyOFOt02bpHf59t3uGp5A4C4+Jcn4oj9dRk9AyoB0OWd5olQ9cDSDg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:47:29.145332Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.01283","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a7dba26cbb7f65e8694b9ab3df6df3b88e09cbdd41c1510265f10926247ebd9","sha256:c1c55b15f5e1b871785f5094927b82661366227bad7fde14c4702a6b3a8e9a52"],"state_sha256":"f7e29607c87355a21e25c4f22f341367a70fe6053167793cb06127d923754699"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GdnWcmvh/PFJHsNKRgXfPkpMJijKoD6UiTf7BGj9VPH84w4X8HjHWei3rxnB9315O5V3YmNDSu2qZkd8UUqPDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T15:11:40.006046Z","bundle_sha256":"6c34bbd4d5d13f1d4d7f89efa380c5657e102f696a445e2e0c9a42c4ce25a597"}}