{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:EDSQ2532EGIQVDIDHP6HDKKSGO","short_pith_number":"pith:EDSQ2532","canonical_record":{"source":{"id":"2302.01798","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-03T15:10:17Z","cross_cats_sorted":[],"title_canon_sha256":"b2bd9e87e9fdd3f60dd272aaff406b89254a50aacefc46aaaf7dddbb5eb2ead2","abstract_canon_sha256":"93ce6b697b5fd88bff7a15c2a0e898d29aa721be015ed43252b55935c90d1427"},"schema_version":"1.0"},"canonical_sha256":"20e50d777a21910a8d033bfc71a95233b61f461c04b51c3936a567ee2ea000c5","source":{"kind":"arxiv","id":"2302.01798","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.01798","created_at":"2026-07-05T06:08:19Z"},{"alias_kind":"arxiv_version","alias_value":"2302.01798v4","created_at":"2026-07-05T06:08:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.01798","created_at":"2026-07-05T06:08:19Z"},{"alias_kind":"pith_short_12","alias_value":"EDSQ2532EGIQ","created_at":"2026-07-05T06:08:19Z"},{"alias_kind":"pith_short_16","alias_value":"EDSQ2532EGIQVDID","created_at":"2026-07-05T06:08:19Z"},{"alias_kind":"pith_short_8","alias_value":"EDSQ2532","created_at":"2026-07-05T06:08:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:EDSQ2532EGIQVDIDHP6HDKKSGO","target":"record","payload":{"canonical_record":{"source":{"id":"2302.01798","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-03T15:10:17Z","cross_cats_sorted":[],"title_canon_sha256":"b2bd9e87e9fdd3f60dd272aaff406b89254a50aacefc46aaaf7dddbb5eb2ead2","abstract_canon_sha256":"93ce6b697b5fd88bff7a15c2a0e898d29aa721be015ed43252b55935c90d1427"},"schema_version":"1.0"},"canonical_sha256":"20e50d777a21910a8d033bfc71a95233b61f461c04b51c3936a567ee2ea000c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:08:19.247230Z","signature_b64":"Yj10AMZHIUj1ZpFlx4qjY9BjmVKUVZ8RxCi0ZjoB8P2iQDVv89vV4LpvyF7xJe/WXat7VzELDOOqCffslp12DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20e50d777a21910a8d033bfc71a95233b61f461c04b51c3936a567ee2ea000c5","last_reissued_at":"2026-07-05T06:08:19.246768Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:08:19.246768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.01798","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:08:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lPUl1ezwPEzzHwThNQK8uTeZ/V3vejjkKrDlCxwYkx7zhguGV1G/bgXkg4V8N8HvK8bSAmVlCxmuBcFt46zcDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T02:42:58.655331Z"},"content_sha256":"6f8f5581b36fa539c6187631b60fd2dc24647e17c2b25be33255125e4c223b01","schema_version":"1.0","event_id":"sha256:6f8f5581b36fa539c6187631b60fd2dc24647e17c2b25be33255125e4c223b01"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:EDSQ2532EGIQVDIDHP6HDKKSGO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Interpretations of Domain Adaptations via Layer Variational Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Hsin-Yi Lin, Huan-Hsin Tseng, Kuo-Hsuan Hung, Yu Tsao","submitted_at":"2023-02-03T15:10:17Z","abstract_excerpt":"Transfer learning is known to perform efficiently in many applications empirically, yet limited literature reports the mechanism behind the scene. This study establishes both formal derivations and heuristic analysis to formulate the theory of transfer learning in deep learning. Our framework utilizing layer variational analysis proves that the success of transfer learning can be guaranteed with corresponding data conditions. Moreover, our theoretical calculation yields intuitive interpretations towards the knowledge transfer process. Subsequently, an alternative method for network-based trans"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.01798","kind":"arxiv","version":4},"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/2302.01798/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":"2026-07-05T06:08:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MLlCXUqZlbOwxvLrNc1NPded2BFiRsZGjzEDkDFWUOr+Cqn/fEWP/XhVi/RGe9Oy51BWfQmVBXx5Aoa6eMYFBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T02:42:58.655831Z"},"content_sha256":"8781ffc3724a2a2e411be90b61d607e6dc8e494cfd20a8d509d621617d1d9c79","schema_version":"1.0","event_id":"sha256:8781ffc3724a2a2e411be90b61d607e6dc8e494cfd20a8d509d621617d1d9c79"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EDSQ2532EGIQVDIDHP6HDKKSGO/bundle.json","state_url":"https://pith.science/pith/EDSQ2532EGIQVDIDHP6HDKKSGO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EDSQ2532EGIQVDIDHP6HDKKSGO/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":"2026-08-15T02:42:58Z","links":{"resolver":"https://pith.science/pith/EDSQ2532EGIQVDIDHP6HDKKSGO","bundle":"https://pith.science/pith/EDSQ2532EGIQVDIDHP6HDKKSGO/bundle.json","state":"https://pith.science/pith/EDSQ2532EGIQVDIDHP6HDKKSGO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EDSQ2532EGIQVDIDHP6HDKKSGO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EDSQ2532EGIQVDIDHP6HDKKSGO","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":"93ce6b697b5fd88bff7a15c2a0e898d29aa721be015ed43252b55935c90d1427","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-03T15:10:17Z","title_canon_sha256":"b2bd9e87e9fdd3f60dd272aaff406b89254a50aacefc46aaaf7dddbb5eb2ead2"},"schema_version":"1.0","source":{"id":"2302.01798","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.01798","created_at":"2026-07-05T06:08:19Z"},{"alias_kind":"arxiv_version","alias_value":"2302.01798v4","created_at":"2026-07-05T06:08:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.01798","created_at":"2026-07-05T06:08:19Z"},{"alias_kind":"pith_short_12","alias_value":"EDSQ2532EGIQ","created_at":"2026-07-05T06:08:19Z"},{"alias_kind":"pith_short_16","alias_value":"EDSQ2532EGIQVDID","created_at":"2026-07-05T06:08:19Z"},{"alias_kind":"pith_short_8","alias_value":"EDSQ2532","created_at":"2026-07-05T06:08:19Z"}],"graph_snapshots":[{"event_id":"sha256:8781ffc3724a2a2e411be90b61d607e6dc8e494cfd20a8d509d621617d1d9c79","target":"graph","created_at":"2026-07-05T06:08:19Z","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/2302.01798/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transfer learning is known to perform efficiently in many applications empirically, yet limited literature reports the mechanism behind the scene. This study establishes both formal derivations and heuristic analysis to formulate the theory of transfer learning in deep learning. Our framework utilizing layer variational analysis proves that the success of transfer learning can be guaranteed with corresponding data conditions. Moreover, our theoretical calculation yields intuitive interpretations towards the knowledge transfer process. Subsequently, an alternative method for network-based trans","authors_text":"Hsin-Yi Lin, Huan-Hsin Tseng, Kuo-Hsuan Hung, Yu Tsao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-03T15:10:17Z","title":"Interpretations of Domain Adaptations via Layer Variational Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.01798","kind":"arxiv","version":4},"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":"sha256:6f8f5581b36fa539c6187631b60fd2dc24647e17c2b25be33255125e4c223b01","target":"record","created_at":"2026-07-05T06:08:19Z","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":"93ce6b697b5fd88bff7a15c2a0e898d29aa721be015ed43252b55935c90d1427","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-03T15:10:17Z","title_canon_sha256":"b2bd9e87e9fdd3f60dd272aaff406b89254a50aacefc46aaaf7dddbb5eb2ead2"},"schema_version":"1.0","source":{"id":"2302.01798","kind":"arxiv","version":4}},"canonical_sha256":"20e50d777a21910a8d033bfc71a95233b61f461c04b51c3936a567ee2ea000c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20e50d777a21910a8d033bfc71a95233b61f461c04b51c3936a567ee2ea000c5","first_computed_at":"2026-07-05T06:08:19.246768Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:08:19.246768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yj10AMZHIUj1ZpFlx4qjY9BjmVKUVZ8RxCi0ZjoB8P2iQDVv89vV4LpvyF7xJe/WXat7VzELDOOqCffslp12DA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:08:19.247230Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.01798","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f8f5581b36fa539c6187631b60fd2dc24647e17c2b25be33255125e4c223b01","sha256:8781ffc3724a2a2e411be90b61d607e6dc8e494cfd20a8d509d621617d1d9c79"],"state_sha256":"d6291cd2c689eed8821a784a5c45fa8b4838d430e29972d467f8d9e97c2338e9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gUi2nZxGysfoJkKH9eK5/j/0VaS2Bt3gqxTJd6K5wokLW5DhrRXyfSLMbeyEr0CMl4VZNryKjFg1+ZbETv5xDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T02:42:58.661208Z","bundle_sha256":"36005d873f4d073aeeea9a1a23375b0e2ad06332479f32ecd67b56e21eb6b679"}}