{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KKDBRX6EKVFZUKJDS36AUTIJCJ","short_pith_number":"pith:KKDBRX6E","canonical_record":{"source":{"id":"2308.06948","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-14T05:55:38Z","cross_cats_sorted":[],"title_canon_sha256":"74996520bce134e99ac8d2a5657e4a3945cc1974f5b54f397feb16e59aaf4774","abstract_canon_sha256":"728999a06c1475d7fa531b752ce19e80b5e5a5c069c0a663988511ed0c0baa7a"},"schema_version":"1.0"},"canonical_sha256":"528618dfc4554b9a292396fc0a4d09126e07d4884338842ea33724adad790d4a","source":{"kind":"arxiv","id":"2308.06948","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.06948","created_at":"2026-07-05T08:23:11Z"},{"alias_kind":"arxiv_version","alias_value":"2308.06948v2","created_at":"2026-07-05T08:23:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.06948","created_at":"2026-07-05T08:23:11Z"},{"alias_kind":"pith_short_12","alias_value":"KKDBRX6EKVFZ","created_at":"2026-07-05T08:23:11Z"},{"alias_kind":"pith_short_16","alias_value":"KKDBRX6EKVFZUKJD","created_at":"2026-07-05T08:23:11Z"},{"alias_kind":"pith_short_8","alias_value":"KKDBRX6E","created_at":"2026-07-05T08:23:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KKDBRX6EKVFZUKJDS36AUTIJCJ","target":"record","payload":{"canonical_record":{"source":{"id":"2308.06948","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-14T05:55:38Z","cross_cats_sorted":[],"title_canon_sha256":"74996520bce134e99ac8d2a5657e4a3945cc1974f5b54f397feb16e59aaf4774","abstract_canon_sha256":"728999a06c1475d7fa531b752ce19e80b5e5a5c069c0a663988511ed0c0baa7a"},"schema_version":"1.0"},"canonical_sha256":"528618dfc4554b9a292396fc0a4d09126e07d4884338842ea33724adad790d4a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:23:11.271826Z","signature_b64":"0TPLvxJbB4TAejc0IZuSC5Wl/cpu42QhTa7OOlAKh3FiVp0WQYaQLBe0NEJuKPepJ9kdDOc5SO+vu0Ho4swxAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"528618dfc4554b9a292396fc0a4d09126e07d4884338842ea33724adad790d4a","last_reissued_at":"2026-07-05T08:23:11.271305Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:23:11.271305Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.06948","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":"2026-07-05T08:23:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XAGYKvvvS9hSTBM6b4uoZmttF6lINRhqgtxQO7x1IuFmDtixXi9x9zTrsc1IZwoSe0+aG4CxwEbXH359cRUXBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:49:03.184607Z"},"content_sha256":"2c5a8258dfa7c469d88478a4283516c783c2b6c9c6df67ba9a021d028dd6bc05","schema_version":"1.0","event_id":"sha256:2c5a8258dfa7c469d88478a4283516c783c2b6c9c6df67ba9a021d028dd6bc05"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KKDBRX6EKVFZUKJDS36AUTIJCJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MixBCT: Towards Self-Adapting Backward-Compatible Training","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Rong Xiao, Sheng Xiao, Shiliang Zhang, Xiaoyu Wang, Yaowei Wang, Yufeng Zhang, Yu Liang","submitted_at":"2023-08-14T05:55:38Z","abstract_excerpt":"Backward-compatible training circumvents the need for expensive updates to the old gallery database when deploying an advanced new model in the retrieval system. Previous methods achieved backward compatibility by aligning prototypes of the new model with the old one, yet they often overlooked the distribution of old features, limiting their effectiveness when the low quality of the old model results in a weakly feature discriminability. Instance-based methods like L2 regression take into account the distribution of old features but impose strong constraints on the performance of the new model"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.06948","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/2308.06948/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":"2026-07-05T08:23:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6cf73UkPIbR5Y45BRiliGSIQG2oOTknF83JBjYfBSmH8CtqjewjGVnYxmpTxzj8HbeK3d5AlUUkFHF8dZkctAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:49:03.185148Z"},"content_sha256":"e28f65a70bff66fc5eb7d5123e4e6dd93c56672861922f4268777782478abb32","schema_version":"1.0","event_id":"sha256:e28f65a70bff66fc5eb7d5123e4e6dd93c56672861922f4268777782478abb32"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KKDBRX6EKVFZUKJDS36AUTIJCJ/bundle.json","state_url":"https://pith.science/pith/KKDBRX6EKVFZUKJDS36AUTIJCJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KKDBRX6EKVFZUKJDS36AUTIJCJ/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":"2026-08-06T17:49:03Z","links":{"resolver":"https://pith.science/pith/KKDBRX6EKVFZUKJDS36AUTIJCJ","bundle":"https://pith.science/pith/KKDBRX6EKVFZUKJDS36AUTIJCJ/bundle.json","state":"https://pith.science/pith/KKDBRX6EKVFZUKJDS36AUTIJCJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KKDBRX6EKVFZUKJDS36AUTIJCJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KKDBRX6EKVFZUKJDS36AUTIJCJ","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":"728999a06c1475d7fa531b752ce19e80b5e5a5c069c0a663988511ed0c0baa7a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-14T05:55:38Z","title_canon_sha256":"74996520bce134e99ac8d2a5657e4a3945cc1974f5b54f397feb16e59aaf4774"},"schema_version":"1.0","source":{"id":"2308.06948","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.06948","created_at":"2026-07-05T08:23:11Z"},{"alias_kind":"arxiv_version","alias_value":"2308.06948v2","created_at":"2026-07-05T08:23:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.06948","created_at":"2026-07-05T08:23:11Z"},{"alias_kind":"pith_short_12","alias_value":"KKDBRX6EKVFZ","created_at":"2026-07-05T08:23:11Z"},{"alias_kind":"pith_short_16","alias_value":"KKDBRX6EKVFZUKJD","created_at":"2026-07-05T08:23:11Z"},{"alias_kind":"pith_short_8","alias_value":"KKDBRX6E","created_at":"2026-07-05T08:23:11Z"}],"graph_snapshots":[{"event_id":"sha256:e28f65a70bff66fc5eb7d5123e4e6dd93c56672861922f4268777782478abb32","target":"graph","created_at":"2026-07-05T08:23:11Z","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/2308.06948/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Backward-compatible training circumvents the need for expensive updates to the old gallery database when deploying an advanced new model in the retrieval system. Previous methods achieved backward compatibility by aligning prototypes of the new model with the old one, yet they often overlooked the distribution of old features, limiting their effectiveness when the low quality of the old model results in a weakly feature discriminability. Instance-based methods like L2 regression take into account the distribution of old features but impose strong constraints on the performance of the new model","authors_text":"Rong Xiao, Sheng Xiao, Shiliang Zhang, Xiaoyu Wang, Yaowei Wang, Yufeng Zhang, Yu Liang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-14T05:55:38Z","title":"MixBCT: Towards Self-Adapting Backward-Compatible Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.06948","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":"sha256:2c5a8258dfa7c469d88478a4283516c783c2b6c9c6df67ba9a021d028dd6bc05","target":"record","created_at":"2026-07-05T08:23:11Z","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":"728999a06c1475d7fa531b752ce19e80b5e5a5c069c0a663988511ed0c0baa7a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-14T05:55:38Z","title_canon_sha256":"74996520bce134e99ac8d2a5657e4a3945cc1974f5b54f397feb16e59aaf4774"},"schema_version":"1.0","source":{"id":"2308.06948","kind":"arxiv","version":2}},"canonical_sha256":"528618dfc4554b9a292396fc0a4d09126e07d4884338842ea33724adad790d4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"528618dfc4554b9a292396fc0a4d09126e07d4884338842ea33724adad790d4a","first_computed_at":"2026-07-05T08:23:11.271305Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:11.271305Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0TPLvxJbB4TAejc0IZuSC5Wl/cpu42QhTa7OOlAKh3FiVp0WQYaQLBe0NEJuKPepJ9kdDOc5SO+vu0Ho4swxAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:11.271826Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.06948","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2c5a8258dfa7c469d88478a4283516c783c2b6c9c6df67ba9a021d028dd6bc05","sha256:e28f65a70bff66fc5eb7d5123e4e6dd93c56672861922f4268777782478abb32"],"state_sha256":"11b56d1a54cf708a619e3fe1d11b7ec00ee4d46ca754bbcb90a0d4c83df8d02e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x3g8qjl7BgQAR74cla/jWj/0ALiFL9lrcEjL/PPjPMLUs5LcfaHCxAZBJC4UxG9rkrC/v0xG28rHxFnzW0HrDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T17:49:03.191113Z","bundle_sha256":"a06f89809463727197f109293af9248710fe3bbc6fe0aca5d6f962667893d946"}}