{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:BWJEQUCRFIHAO44V6S2MKY2YY4","short_pith_number":"pith:BWJEQUCR","canonical_record":{"source":{"id":"2307.15282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-28T03:27:25Z","cross_cats_sorted":[],"title_canon_sha256":"00a93d23adbaf525a578458c7dcbd91690c1da2b001e2b7b95e41795646c2dab","abstract_canon_sha256":"767e947ad70cf3d52ebb97888408b9d6c9316e639cec652dbec3d7225fb87ab1"},"schema_version":"1.0"},"canonical_sha256":"0d924850512a0e077395f4b4c56358c728d403a3a690ad1950c8b1fe561fa708","source":{"kind":"arxiv","id":"2307.15282","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.15282","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"arxiv_version","alias_value":"2307.15282v1","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.15282","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_12","alias_value":"BWJEQUCRFIHA","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_16","alias_value":"BWJEQUCRFIHAO44V","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_8","alias_value":"BWJEQUCR","created_at":"2026-07-05T07:13:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:BWJEQUCRFIHAO44V6S2MKY2YY4","target":"record","payload":{"canonical_record":{"source":{"id":"2307.15282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-28T03:27:25Z","cross_cats_sorted":[],"title_canon_sha256":"00a93d23adbaf525a578458c7dcbd91690c1da2b001e2b7b95e41795646c2dab","abstract_canon_sha256":"767e947ad70cf3d52ebb97888408b9d6c9316e639cec652dbec3d7225fb87ab1"},"schema_version":"1.0"},"canonical_sha256":"0d924850512a0e077395f4b4c56358c728d403a3a690ad1950c8b1fe561fa708","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:13:24.338425Z","signature_b64":"WBgGDDkBieEzjPUGKngwjfh5mXCwgrlrf2u9/a9COryNmaY+v6u9J0gdcEtqxAxwiYFzTGwT8dDGkjwoQIt7Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d924850512a0e077395f4b4c56358c728d403a3a690ad1950c8b1fe561fa708","last_reissued_at":"2026-07-05T07:13:24.337974Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:13:24.337974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.15282","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":"2026-07-05T07:13:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bCmBhDPTakB9fiYtlalFXTiW+aSrbHRD2FZG1M5OlqN7M16ZnC2820ayOMkO9yOJgaJiTya2HDEuZL88zeXnAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T17:24:15.235920Z"},"content_sha256":"0343b7da1bac15254562be7eb984143229d6ef5bdebbc8c7994c914df9fb27c2","schema_version":"1.0","event_id":"sha256:0343b7da1bac15254562be7eb984143229d6ef5bdebbc8c7994c914df9fb27c2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:BWJEQUCRFIHAO44V6S2MKY2YY4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuyan Zhang, Hao Zheng, Yuncheng Yang, Yun Gu","submitted_at":"2023-07-28T03:27:25Z","abstract_excerpt":"Driven by the latest trend towards self-supervised learning (SSL), the paradigm of \"pretraining-then-finetuning\" has been extensively explored to enhance the performance of clinical applications with limited annotations. Previous literature on model finetuning has mainly focused on regularization terms and specific policy models, while the misalignment of channels between source and target models has not received sufficient attention. In this work, we revisited the dynamics of batch normalization (BN) layers and observed that the trainable affine parameters of BN serve as sensitive indicators "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.15282","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/2307.15282/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":"2026-07-05T07:13:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D8qFEgMacvtlwAdU8aueoY0Ssqe73NJa9uen4ny87cjYlbd6OiCZffSOrHdAeIckK4URbSdn1RZJhHk+u98ECA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T17:24:15.236262Z"},"content_sha256":"6d7b113e456d4c84b7e2761ca02b01bb0bc20613472e66324a5475c3f36232cf","schema_version":"1.0","event_id":"sha256:6d7b113e456d4c84b7e2761ca02b01bb0bc20613472e66324a5475c3f36232cf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BWJEQUCRFIHAO44V6S2MKY2YY4/bundle.json","state_url":"https://pith.science/pith/BWJEQUCRFIHAO44V6S2MKY2YY4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BWJEQUCRFIHAO44V6S2MKY2YY4/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":"2026-08-14T17:24:15Z","links":{"resolver":"https://pith.science/pith/BWJEQUCRFIHAO44V6S2MKY2YY4","bundle":"https://pith.science/pith/BWJEQUCRFIHAO44V6S2MKY2YY4/bundle.json","state":"https://pith.science/pith/BWJEQUCRFIHAO44V6S2MKY2YY4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BWJEQUCRFIHAO44V6S2MKY2YY4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BWJEQUCRFIHAO44V6S2MKY2YY4","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":"767e947ad70cf3d52ebb97888408b9d6c9316e639cec652dbec3d7225fb87ab1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-28T03:27:25Z","title_canon_sha256":"00a93d23adbaf525a578458c7dcbd91690c1da2b001e2b7b95e41795646c2dab"},"schema_version":"1.0","source":{"id":"2307.15282","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.15282","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"arxiv_version","alias_value":"2307.15282v1","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.15282","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_12","alias_value":"BWJEQUCRFIHA","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_16","alias_value":"BWJEQUCRFIHAO44V","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_8","alias_value":"BWJEQUCR","created_at":"2026-07-05T07:13:24Z"}],"graph_snapshots":[{"event_id":"sha256:6d7b113e456d4c84b7e2761ca02b01bb0bc20613472e66324a5475c3f36232cf","target":"graph","created_at":"2026-07-05T07:13:24Z","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/2307.15282/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Driven by the latest trend towards self-supervised learning (SSL), the paradigm of \"pretraining-then-finetuning\" has been extensively explored to enhance the performance of clinical applications with limited annotations. Previous literature on model finetuning has mainly focused on regularization terms and specific policy models, while the misalignment of channels between source and target models has not received sufficient attention. In this work, we revisited the dynamics of batch normalization (BN) layers and observed that the trainable affine parameters of BN serve as sensitive indicators ","authors_text":"Chuyan Zhang, Hao Zheng, Yuncheng Yang, Yun Gu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-28T03:27:25Z","title":"AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.15282","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":"sha256:0343b7da1bac15254562be7eb984143229d6ef5bdebbc8c7994c914df9fb27c2","target":"record","created_at":"2026-07-05T07:13:24Z","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":"767e947ad70cf3d52ebb97888408b9d6c9316e639cec652dbec3d7225fb87ab1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-28T03:27:25Z","title_canon_sha256":"00a93d23adbaf525a578458c7dcbd91690c1da2b001e2b7b95e41795646c2dab"},"schema_version":"1.0","source":{"id":"2307.15282","kind":"arxiv","version":1}},"canonical_sha256":"0d924850512a0e077395f4b4c56358c728d403a3a690ad1950c8b1fe561fa708","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d924850512a0e077395f4b4c56358c728d403a3a690ad1950c8b1fe561fa708","first_computed_at":"2026-07-05T07:13:24.337974Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:13:24.337974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WBgGDDkBieEzjPUGKngwjfh5mXCwgrlrf2u9/a9COryNmaY+v6u9J0gdcEtqxAxwiYFzTGwT8dDGkjwoQIt7Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:13:24.338425Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.15282","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0343b7da1bac15254562be7eb984143229d6ef5bdebbc8c7994c914df9fb27c2","sha256:6d7b113e456d4c84b7e2761ca02b01bb0bc20613472e66324a5475c3f36232cf"],"state_sha256":"f15581554f0d3b2ede1154e12dc18edba09b897144bd909cea62579225609714"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GOdfRdClg2p60MvqyEMmAFb98Y/w424Qk3iabd4FMgM3F8otZOYvD7bZCkphRjb8uSJOrX65UqK3GMPAJx1EAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T17:24:15.238953Z","bundle_sha256":"41ea2ccdb8c106e4287f5f647df2d0da953f9e404f20f75846d229125e1d6846"}}