{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HYLHORMEX3J6ESDCUKVBGGKDGV","short_pith_number":"pith:HYLHORME","canonical_record":{"source":{"id":"2302.04870","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-02-09T18:59:55Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"f4a9711e7c6f94997eecb69cd62a02b9b6bc6b7e1a1d31efdfdde66dc39b4c70","abstract_canon_sha256":"140ac2210146b70dec10f7c4fc288545b6b3580a1aa1263d08c54dd6ae88f028"},"schema_version":"1.0"},"canonical_sha256":"3e16774584bed3e24862a2aa131943357ad2f7ee5c273598d774f1ecaa0a25a8","source":{"kind":"arxiv","id":"2302.04870","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.04870","created_at":"2026-07-05T05:40:19Z"},{"alias_kind":"arxiv_version","alias_value":"2302.04870v1","created_at":"2026-07-05T05:40:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.04870","created_at":"2026-07-05T05:40:19Z"},{"alias_kind":"pith_short_12","alias_value":"HYLHORMEX3J6","created_at":"2026-07-05T05:40:19Z"},{"alias_kind":"pith_short_16","alias_value":"HYLHORMEX3J6ESDC","created_at":"2026-07-05T05:40:19Z"},{"alias_kind":"pith_short_8","alias_value":"HYLHORME","created_at":"2026-07-05T05:40:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HYLHORMEX3J6ESDCUKVBGGKDGV","target":"record","payload":{"canonical_record":{"source":{"id":"2302.04870","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-02-09T18:59:55Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"f4a9711e7c6f94997eecb69cd62a02b9b6bc6b7e1a1d31efdfdde66dc39b4c70","abstract_canon_sha256":"140ac2210146b70dec10f7c4fc288545b6b3580a1aa1263d08c54dd6ae88f028"},"schema_version":"1.0"},"canonical_sha256":"3e16774584bed3e24862a2aa131943357ad2f7ee5c273598d774f1ecaa0a25a8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:40:19.467815Z","signature_b64":"kxp/x0853zHokHWU6YQOH+ZK09qo1BiNgwmPm+rZoI3CtlFeKmvgbokUp3mZPfMEbv8cCgSaau9ORrJ69kfbAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3e16774584bed3e24862a2aa131943357ad2f7ee5c273598d774f1ecaa0a25a8","last_reissued_at":"2026-07-05T05:40:19.467222Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:40:19.467222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.04870","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":"2026-07-05T05:40:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LtbypDZixTopViZT/STcvDSTOE7cagmospwv2MZ8A8YwRiBrZgIp7Ob4uKTnR7gJf+LtgaM2LBCDyS8K+DUFBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:26:25.228953Z"},"content_sha256":"1c1e64e67c0c8409f189d69a53a880a55e6965a2bd854ab156b7a5c4bd28a7a4","schema_version":"1.0","event_id":"sha256:1c1e64e67c0c8409f189d69a53a880a55e6965a2bd854ab156b7a5c4bd28a7a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HYLHORMEX3J6ESDCUKVBGGKDGV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Offsite-Tuning: Transfer Learning without Full Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.CL","authors_text":"Guangxuan Xiao, Ji Lin, Song Han","submitted_at":"2023-02-09T18:59:55Z","abstract_excerpt":"Transfer learning is important for foundation models to adapt to downstream tasks. However, many foundation models are proprietary, so users must share their data with model owners to fine-tune the models, which is costly and raise privacy concerns. Moreover, fine-tuning large foundation models is computation-intensive and impractical for most downstream users. In this paper, we propose Offsite-Tuning, a privacy-preserving and efficient transfer learning framework that can adapt billion-parameter foundation models to downstream data without access to the full model. In offsite-tuning, the mode"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.04870","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/2302.04870/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":"2026-07-05T05:40:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kIAN2ALl4LuzUprC2+72SD4eYbewZYT0BW0X7fUSsewlOmg1vgR9P+Ktxv/OkBkSPLbjUK9sfwgeU6+C3N3gCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:26:25.229591Z"},"content_sha256":"5052053ce89635899fe33b02ac9d19d873cec822e5a9f74b956a79b9b168c52c","schema_version":"1.0","event_id":"sha256:5052053ce89635899fe33b02ac9d19d873cec822e5a9f74b956a79b9b168c52c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HYLHORMEX3J6ESDCUKVBGGKDGV/bundle.json","state_url":"https://pith.science/pith/HYLHORMEX3J6ESDCUKVBGGKDGV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HYLHORMEX3J6ESDCUKVBGGKDGV/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":"2026-07-07T05:26:25Z","links":{"resolver":"https://pith.science/pith/HYLHORMEX3J6ESDCUKVBGGKDGV","bundle":"https://pith.science/pith/HYLHORMEX3J6ESDCUKVBGGKDGV/bundle.json","state":"https://pith.science/pith/HYLHORMEX3J6ESDCUKVBGGKDGV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HYLHORMEX3J6ESDCUKVBGGKDGV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HYLHORMEX3J6ESDCUKVBGGKDGV","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":"140ac2210146b70dec10f7c4fc288545b6b3580a1aa1263d08c54dd6ae88f028","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-02-09T18:59:55Z","title_canon_sha256":"f4a9711e7c6f94997eecb69cd62a02b9b6bc6b7e1a1d31efdfdde66dc39b4c70"},"schema_version":"1.0","source":{"id":"2302.04870","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.04870","created_at":"2026-07-05T05:40:19Z"},{"alias_kind":"arxiv_version","alias_value":"2302.04870v1","created_at":"2026-07-05T05:40:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.04870","created_at":"2026-07-05T05:40:19Z"},{"alias_kind":"pith_short_12","alias_value":"HYLHORMEX3J6","created_at":"2026-07-05T05:40:19Z"},{"alias_kind":"pith_short_16","alias_value":"HYLHORMEX3J6ESDC","created_at":"2026-07-05T05:40:19Z"},{"alias_kind":"pith_short_8","alias_value":"HYLHORME","created_at":"2026-07-05T05:40:19Z"}],"graph_snapshots":[{"event_id":"sha256:5052053ce89635899fe33b02ac9d19d873cec822e5a9f74b956a79b9b168c52c","target":"graph","created_at":"2026-07-05T05:40:19Z","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/2302.04870/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transfer learning is important for foundation models to adapt to downstream tasks. However, many foundation models are proprietary, so users must share their data with model owners to fine-tune the models, which is costly and raise privacy concerns. Moreover, fine-tuning large foundation models is computation-intensive and impractical for most downstream users. In this paper, we propose Offsite-Tuning, a privacy-preserving and efficient transfer learning framework that can adapt billion-parameter foundation models to downstream data without access to the full model. In offsite-tuning, the mode","authors_text":"Guangxuan Xiao, Ji Lin, Song Han","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-02-09T18:59:55Z","title":"Offsite-Tuning: Transfer Learning without Full Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.04870","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":"sha256:1c1e64e67c0c8409f189d69a53a880a55e6965a2bd854ab156b7a5c4bd28a7a4","target":"record","created_at":"2026-07-05T05:40:19Z","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":"140ac2210146b70dec10f7c4fc288545b6b3580a1aa1263d08c54dd6ae88f028","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-02-09T18:59:55Z","title_canon_sha256":"f4a9711e7c6f94997eecb69cd62a02b9b6bc6b7e1a1d31efdfdde66dc39b4c70"},"schema_version":"1.0","source":{"id":"2302.04870","kind":"arxiv","version":1}},"canonical_sha256":"3e16774584bed3e24862a2aa131943357ad2f7ee5c273598d774f1ecaa0a25a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e16774584bed3e24862a2aa131943357ad2f7ee5c273598d774f1ecaa0a25a8","first_computed_at":"2026-07-05T05:40:19.467222Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:40:19.467222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kxp/x0853zHokHWU6YQOH+ZK09qo1BiNgwmPm+rZoI3CtlFeKmvgbokUp3mZPfMEbv8cCgSaau9ORrJ69kfbAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:40:19.467815Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.04870","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c1e64e67c0c8409f189d69a53a880a55e6965a2bd854ab156b7a5c4bd28a7a4","sha256:5052053ce89635899fe33b02ac9d19d873cec822e5a9f74b956a79b9b168c52c"],"state_sha256":"7ba0d06a7c667e6f197e3d218012312ad9992ac302aefdb94bb332b02dc467bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ch877lxa55qw2kitBbX90TXk0H80cSyBFaI+vvX86gNJMnbF5flztxDB3W2cD0CRXAENrBPr79kwy11+4/qZAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:26:25.233085Z","bundle_sha256":"6b0f7ff5bf14230b1b68532c6a837880eb49f2d3bee9f89d1b57d03733b66924"}}