{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:M437QV674FULGY3L6SX6QVFRI2","short_pith_number":"pith:M437QV67","canonical_record":{"source":{"id":"2410.09383","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-12T06:24:35Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"01ed7e9dcbe6c9489d60c8f54de8e770357b8899c9ce26b69f2da612223c373e","abstract_canon_sha256":"38f75e87d93871f41dcc21dd0d513800806fadc52286b9cb0cea9842a539abdc"},"schema_version":"1.0"},"canonical_sha256":"6737f857dfe168b3636bf4afe854b146bfffb0d038a4b80082a47eea7bcfc3a5","source":{"kind":"arxiv","id":"2410.09383","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.09383","created_at":"2026-07-05T09:56:55Z"},{"alias_kind":"arxiv_version","alias_value":"2410.09383v3","created_at":"2026-07-05T09:56:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.09383","created_at":"2026-07-05T09:56:55Z"},{"alias_kind":"pith_short_12","alias_value":"M437QV674FUL","created_at":"2026-07-05T09:56:55Z"},{"alias_kind":"pith_short_16","alias_value":"M437QV674FULGY3L","created_at":"2026-07-05T09:56:55Z"},{"alias_kind":"pith_short_8","alias_value":"M437QV67","created_at":"2026-07-05T09:56:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:M437QV674FULGY3L6SX6QVFRI2","target":"record","payload":{"canonical_record":{"source":{"id":"2410.09383","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-12T06:24:35Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"01ed7e9dcbe6c9489d60c8f54de8e770357b8899c9ce26b69f2da612223c373e","abstract_canon_sha256":"38f75e87d93871f41dcc21dd0d513800806fadc52286b9cb0cea9842a539abdc"},"schema_version":"1.0"},"canonical_sha256":"6737f857dfe168b3636bf4afe854b146bfffb0d038a4b80082a47eea7bcfc3a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:56:55.863863Z","signature_b64":"CkHa6cgHaFzbdjb9jaHPulirLpbiKOhyv1BL2yAUp91fH/Zr5E4LWIsh1Wb2Qj/OcR6bXWcyRgog1baqg97LAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6737f857dfe168b3636bf4afe854b146bfffb0d038a4b80082a47eea7bcfc3a5","last_reissued_at":"2026-07-05T09:56:55.863402Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:56:55.863402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.09383","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:56:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qIkPPAb6Q2SbGC9rA6DsrfVmMscHaAqcqCT+cUe4qD9us3b94iXRNDzK9zwzywupgGqpsO+iGTjtCdCXT3inAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T08:48:26.850129Z"},"content_sha256":"26c53e4c18e41c085a869edefd1cc0336fb936c8a5a872776c98b0970589e563","schema_version":"1.0","event_id":"sha256:26c53e4c18e41c085a869edefd1cc0336fb936c8a5a872776c98b0970589e563"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:M437QV674FULGY3L6SX6QVFRI2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Transfer Learning: Model Framework and Error Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Huazhen Lin, Jerry Zhijian Yang, Yuchen Luo, Yuling Jiao","submitted_at":"2024-10-12T06:24:35Z","abstract_excerpt":"This paper presents a framework for deep transfer learning, which aims to leverage information from multi-domain upstream data with a large number of samples $n$ to a single-domain downstream task with a considerably smaller number of samples $m$, where $m \\ll n$, in order to enhance performance on downstream task. Our framework offers several intriguing features. First, it allows the existence of both shared and domain-specific features across multi-domain data and provides a framework for automatic identification, achieving precise transfer and utilization of information. Second, the framewo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.09383","kind":"arxiv","version":3},"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/2410.09383/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":"2026-07-05T09:56:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HYztx9PfgZXHOG929cJ60Q/pisMfrzmB12BzFM8TtINqNc0VsoLDOmEAjFJpUSv07XI/tMOWTApIkE1suqdNAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T08:48:26.850675Z"},"content_sha256":"fb997ccb583559c1fec13def075f2c64f3b56d85225de467bb1954ce6ed6866b","schema_version":"1.0","event_id":"sha256:fb997ccb583559c1fec13def075f2c64f3b56d85225de467bb1954ce6ed6866b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M437QV674FULGY3L6SX6QVFRI2/bundle.json","state_url":"https://pith.science/pith/M437QV674FULGY3L6SX6QVFRI2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M437QV674FULGY3L6SX6QVFRI2/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":"2026-08-09T08:48:26Z","links":{"resolver":"https://pith.science/pith/M437QV674FULGY3L6SX6QVFRI2","bundle":"https://pith.science/pith/M437QV674FULGY3L6SX6QVFRI2/bundle.json","state":"https://pith.science/pith/M437QV674FULGY3L6SX6QVFRI2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M437QV674FULGY3L6SX6QVFRI2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:M437QV674FULGY3L6SX6QVFRI2","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":"38f75e87d93871f41dcc21dd0d513800806fadc52286b9cb0cea9842a539abdc","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-12T06:24:35Z","title_canon_sha256":"01ed7e9dcbe6c9489d60c8f54de8e770357b8899c9ce26b69f2da612223c373e"},"schema_version":"1.0","source":{"id":"2410.09383","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.09383","created_at":"2026-07-05T09:56:55Z"},{"alias_kind":"arxiv_version","alias_value":"2410.09383v3","created_at":"2026-07-05T09:56:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.09383","created_at":"2026-07-05T09:56:55Z"},{"alias_kind":"pith_short_12","alias_value":"M437QV674FUL","created_at":"2026-07-05T09:56:55Z"},{"alias_kind":"pith_short_16","alias_value":"M437QV674FULGY3L","created_at":"2026-07-05T09:56:55Z"},{"alias_kind":"pith_short_8","alias_value":"M437QV67","created_at":"2026-07-05T09:56:55Z"}],"graph_snapshots":[{"event_id":"sha256:fb997ccb583559c1fec13def075f2c64f3b56d85225de467bb1954ce6ed6866b","target":"graph","created_at":"2026-07-05T09:56:55Z","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/2410.09383/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a framework for deep transfer learning, which aims to leverage information from multi-domain upstream data with a large number of samples $n$ to a single-domain downstream task with a considerably smaller number of samples $m$, where $m \\ll n$, in order to enhance performance on downstream task. Our framework offers several intriguing features. First, it allows the existence of both shared and domain-specific features across multi-domain data and provides a framework for automatic identification, achieving precise transfer and utilization of information. Second, the framewo","authors_text":"Huazhen Lin, Jerry Zhijian Yang, Yuchen Luo, Yuling Jiao","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-12T06:24:35Z","title":"Deep Transfer Learning: Model Framework and Error Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.09383","kind":"arxiv","version":3},"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":"sha256:26c53e4c18e41c085a869edefd1cc0336fb936c8a5a872776c98b0970589e563","target":"record","created_at":"2026-07-05T09:56:55Z","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":"38f75e87d93871f41dcc21dd0d513800806fadc52286b9cb0cea9842a539abdc","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-12T06:24:35Z","title_canon_sha256":"01ed7e9dcbe6c9489d60c8f54de8e770357b8899c9ce26b69f2da612223c373e"},"schema_version":"1.0","source":{"id":"2410.09383","kind":"arxiv","version":3}},"canonical_sha256":"6737f857dfe168b3636bf4afe854b146bfffb0d038a4b80082a47eea7bcfc3a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6737f857dfe168b3636bf4afe854b146bfffb0d038a4b80082a47eea7bcfc3a5","first_computed_at":"2026-07-05T09:56:55.863402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:55.863402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CkHa6cgHaFzbdjb9jaHPulirLpbiKOhyv1BL2yAUp91fH/Zr5E4LWIsh1Wb2Qj/OcR6bXWcyRgog1baqg97LAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:55.863863Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.09383","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26c53e4c18e41c085a869edefd1cc0336fb936c8a5a872776c98b0970589e563","sha256:fb997ccb583559c1fec13def075f2c64f3b56d85225de467bb1954ce6ed6866b"],"state_sha256":"127e1214be22946357394f23de41aef1d0554157f96f0392ed3bbc4ae97ade49"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m4E5Iz6fCIDncz+VF50bVg9qN0hGg+wQzMuAUM75Gx5YBDByoaLiofeupe44mIoH11781hr2tsQZzavWlCQHAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T08:48:26.855824Z","bundle_sha256":"47427cc70dd450b0cb0e37c185d43309cea43bc619f2722c38d4290d25f3d222"}}