{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:EI7HHST5XZGH7JDWBWDMNQWEH6","short_pith_number":"pith:EI7HHST5","canonical_record":{"source":{"id":"2203.01583","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-03T09:23:51Z","cross_cats_sorted":[],"title_canon_sha256":"5a43f399873164610172a3a2aec19d79f1089c9a30a453d6aab851974841f172","abstract_canon_sha256":"331a0d93f2e9e944147ef9a090962bb254f59ba2ab3ef58e85c603639d5abc17"},"schema_version":"1.0"},"canonical_sha256":"223e73ca7dbe4c7fa4760d86c6c2c43faad5d1dd6c3eb4b79cb1f41cda42a157","source":{"kind":"arxiv","id":"2203.01583","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.01583","created_at":"2026-07-05T04:06:19Z"},{"alias_kind":"arxiv_version","alias_value":"2203.01583v2","created_at":"2026-07-05T04:06:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.01583","created_at":"2026-07-05T04:06:19Z"},{"alias_kind":"pith_short_12","alias_value":"EI7HHST5XZGH","created_at":"2026-07-05T04:06:19Z"},{"alias_kind":"pith_short_16","alias_value":"EI7HHST5XZGH7JDW","created_at":"2026-07-05T04:06:19Z"},{"alias_kind":"pith_short_8","alias_value":"EI7HHST5","created_at":"2026-07-05T04:06:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:EI7HHST5XZGH7JDWBWDMNQWEH6","target":"record","payload":{"canonical_record":{"source":{"id":"2203.01583","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-03T09:23:51Z","cross_cats_sorted":[],"title_canon_sha256":"5a43f399873164610172a3a2aec19d79f1089c9a30a453d6aab851974841f172","abstract_canon_sha256":"331a0d93f2e9e944147ef9a090962bb254f59ba2ab3ef58e85c603639d5abc17"},"schema_version":"1.0"},"canonical_sha256":"223e73ca7dbe4c7fa4760d86c6c2c43faad5d1dd6c3eb4b79cb1f41cda42a157","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:06:19.517515Z","signature_b64":"RgMpcI9IiXQ9BxGgdDVErRIZnRf4HWqoo1VYY5I67lFdrzO9ip3MafZ9mKZ+V6fd7oevWTDn7/eOADABvEy4CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"223e73ca7dbe4c7fa4760d86c6c2c43faad5d1dd6c3eb4b79cb1f41cda42a157","last_reissued_at":"2026-07-05T04:06:19.517113Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:06:19.517113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.01583","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":"2026-07-05T04:06:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MvhMpT26YSHQBqStaecns2xWYi9yNdcN65qHPX7aZsujDVPZ8M1fA42vJH4MJSCzFJlV3VWidgzRBLrrhcYhCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T06:29:58.794007Z"},"content_sha256":"ec3146c59eacce460fb35cdda6d1e6a4adf1bd5fada201f84a338d2c32f19272","schema_version":"1.0","event_id":"sha256:ec3146c59eacce460fb35cdda6d1e6a4adf1bd5fada201f84a338d2c32f19272"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:EI7HHST5XZGH7JDWBWDMNQWEH6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Universal Backward-Compatible Representation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Binjie Zhang, Chun Yuan, Fanzi Wu, Shupeng Su, Xuyuan Xu, Yantao Shen, Yexin Wang, Ying Shan, Yixiao Ge","submitted_at":"2022-03-03T09:23:51Z","abstract_excerpt":"Conventional model upgrades for visual search systems require offline refresh of gallery features by feeding gallery images into new models (dubbed as \"backfill\"), which is time-consuming and expensive, especially in large-scale applications. The task of backward-compatible representation learning is therefore introduced to support backfill-free model upgrades, where the new query features are interoperable with the old gallery features. Despite the success, previous works only investigated a close-set training scenario (i.e., the new training set shares the same classes as the old one), and a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.01583","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/2203.01583/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":"2026-07-05T04:06:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jDrHUPj/2xb7lV1USfWFsV+O1v9VVOUVeeeoHWUjd1LDYtd6Hge7LaXw0v45gndPqfdxnTq5QvDbBfjaqJSYBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T06:29:58.794395Z"},"content_sha256":"07d756b9a1cc7d7528ca8216978a85ae2e33428ef9e1cec58b9c20b3f8a7ac6d","schema_version":"1.0","event_id":"sha256:07d756b9a1cc7d7528ca8216978a85ae2e33428ef9e1cec58b9c20b3f8a7ac6d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EI7HHST5XZGH7JDWBWDMNQWEH6/bundle.json","state_url":"https://pith.science/pith/EI7HHST5XZGH7JDWBWDMNQWEH6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EI7HHST5XZGH7JDWBWDMNQWEH6/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":"2026-07-24T06:29:58Z","links":{"resolver":"https://pith.science/pith/EI7HHST5XZGH7JDWBWDMNQWEH6","bundle":"https://pith.science/pith/EI7HHST5XZGH7JDWBWDMNQWEH6/bundle.json","state":"https://pith.science/pith/EI7HHST5XZGH7JDWBWDMNQWEH6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EI7HHST5XZGH7JDWBWDMNQWEH6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:EI7HHST5XZGH7JDWBWDMNQWEH6","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":"331a0d93f2e9e944147ef9a090962bb254f59ba2ab3ef58e85c603639d5abc17","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-03T09:23:51Z","title_canon_sha256":"5a43f399873164610172a3a2aec19d79f1089c9a30a453d6aab851974841f172"},"schema_version":"1.0","source":{"id":"2203.01583","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.01583","created_at":"2026-07-05T04:06:19Z"},{"alias_kind":"arxiv_version","alias_value":"2203.01583v2","created_at":"2026-07-05T04:06:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.01583","created_at":"2026-07-05T04:06:19Z"},{"alias_kind":"pith_short_12","alias_value":"EI7HHST5XZGH","created_at":"2026-07-05T04:06:19Z"},{"alias_kind":"pith_short_16","alias_value":"EI7HHST5XZGH7JDW","created_at":"2026-07-05T04:06:19Z"},{"alias_kind":"pith_short_8","alias_value":"EI7HHST5","created_at":"2026-07-05T04:06:19Z"}],"graph_snapshots":[{"event_id":"sha256:07d756b9a1cc7d7528ca8216978a85ae2e33428ef9e1cec58b9c20b3f8a7ac6d","target":"graph","created_at":"2026-07-05T04:06:19Z","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/2203.01583/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conventional model upgrades for visual search systems require offline refresh of gallery features by feeding gallery images into new models (dubbed as \"backfill\"), which is time-consuming and expensive, especially in large-scale applications. The task of backward-compatible representation learning is therefore introduced to support backfill-free model upgrades, where the new query features are interoperable with the old gallery features. Despite the success, previous works only investigated a close-set training scenario (i.e., the new training set shares the same classes as the old one), and a","authors_text":"Binjie Zhang, Chun Yuan, Fanzi Wu, Shupeng Su, Xuyuan Xu, Yantao Shen, Yexin Wang, Ying Shan, Yixiao Ge","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-03T09:23:51Z","title":"Towards Universal Backward-Compatible Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.01583","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:ec3146c59eacce460fb35cdda6d1e6a4adf1bd5fada201f84a338d2c32f19272","target":"record","created_at":"2026-07-05T04:06:19Z","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":"331a0d93f2e9e944147ef9a090962bb254f59ba2ab3ef58e85c603639d5abc17","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-03T09:23:51Z","title_canon_sha256":"5a43f399873164610172a3a2aec19d79f1089c9a30a453d6aab851974841f172"},"schema_version":"1.0","source":{"id":"2203.01583","kind":"arxiv","version":2}},"canonical_sha256":"223e73ca7dbe4c7fa4760d86c6c2c43faad5d1dd6c3eb4b79cb1f41cda42a157","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"223e73ca7dbe4c7fa4760d86c6c2c43faad5d1dd6c3eb4b79cb1f41cda42a157","first_computed_at":"2026-07-05T04:06:19.517113Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:06:19.517113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RgMpcI9IiXQ9BxGgdDVErRIZnRf4HWqoo1VYY5I67lFdrzO9ip3MafZ9mKZ+V6fd7oevWTDn7/eOADABvEy4CA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:06:19.517515Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.01583","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec3146c59eacce460fb35cdda6d1e6a4adf1bd5fada201f84a338d2c32f19272","sha256:07d756b9a1cc7d7528ca8216978a85ae2e33428ef9e1cec58b9c20b3f8a7ac6d"],"state_sha256":"d662a50fd5baee975030a5b3059358df813a55101cd1962b1ea9dca18148060b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C1p6KXaSeG2AEXtIsqJpx44SCG3f17RXSunFWWCpWcoujTp/nyw8xA2fM+ImjowCNN9oIWwssyWQbXj8QBvQCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T06:29:58.796658Z","bundle_sha256":"4a3ae9991b5d66ab26c9dec62ab73589e1d14f5b2095126c28dba673acc02c8e"}}