{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:QDV3F3LIRECFDJXZNH5SVUM47H","short_pith_number":"pith:QDV3F3LI","canonical_record":{"source":{"id":"1702.02052","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-02-07T14:59:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0ae26aee689eddf855cdb8c71827bed793f6654368575d43392c1cf68335891c","abstract_canon_sha256":"f90fcee53b574824832125f0b84f8b82f1556a9d3b66231674cad88f1fd558da"},"schema_version":"1.0"},"canonical_sha256":"80ebb2ed68890451a6f969fb2ad19cf9eb5d1c1c4f5e44310c8609406dcefe36","source":{"kind":"arxiv","id":"1702.02052","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.02052","created_at":"2026-05-18T00:51:10Z"},{"alias_kind":"arxiv_version","alias_value":"1702.02052v1","created_at":"2026-05-18T00:51:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.02052","created_at":"2026-05-18T00:51:10Z"},{"alias_kind":"pith_short_12","alias_value":"QDV3F3LIRECF","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"QDV3F3LIRECFDJXZ","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"QDV3F3LI","created_at":"2026-05-18T12:31:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:QDV3F3LIRECFDJXZNH5SVUM47H","target":"record","payload":{"canonical_record":{"source":{"id":"1702.02052","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-02-07T14:59:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0ae26aee689eddf855cdb8c71827bed793f6654368575d43392c1cf68335891c","abstract_canon_sha256":"f90fcee53b574824832125f0b84f8b82f1556a9d3b66231674cad88f1fd558da"},"schema_version":"1.0"},"canonical_sha256":"80ebb2ed68890451a6f969fb2ad19cf9eb5d1c1c4f5e44310c8609406dcefe36","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:10.455700Z","signature_b64":"YAf0CREuJHnKb4XyN3hBVFSFGKLw8pwkEBwagtzYlEOamVZa/sHZdweM7j4C2hySSXiG62qpdqBzSbZRVFJFCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80ebb2ed68890451a6f969fb2ad19cf9eb5d1c1c4f5e44310c8609406dcefe36","last_reissued_at":"2026-05-18T00:51:10.454922Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:10.454922Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.02052","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":"2026-05-18T00:51:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iPot+zw6TxgyPqg2+QiGK9cHQri2zWzwd0K3KbbblpynSCv5r5uz0M1vjaqfy9aCFTAh8Yy/RdWqTSBxHfuYAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:56:15.177310Z"},"content_sha256":"b9ffd998c99a40f077bcf267011062167110b57ea82f2992a23dccf08bbfff24","schema_version":"1.0","event_id":"sha256:b9ffd998c99a40f077bcf267011062167110b57ea82f2992a23dccf08bbfff24"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:QDV3F3LIRECFDJXZNH5SVUM47H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Knowledge Adaptation: Teaching to Adapt","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"John G. Breslin, Parsa Ghaffari, Sebastian Ruder","submitted_at":"2017-02-07T14:59:45Z","abstract_excerpt":"Domain adaptation is crucial in many real-world applications where the distribution of the training data differs from the distribution of the test data. Previous Deep Learning-based approaches to domain adaptation need to be trained jointly on source and target domain data and are therefore unappealing in scenarios where models need to be adapted to a large number of domains or where a domain is evolving, e.g. spam detection where attackers continuously change their tactics.\n  To fill this gap, we propose Knowledge Adaptation, an extension of Knowledge Distillation (Bucilua et al., 2006; Hinto"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.02052","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":""},"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":"2026-05-18T00:51:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d0TpNkeTaenU9svqXBF1/Da47jIqVz6nyhmHA/DcOEHhXztt2xw+6tZiwdVaeI6QhnU02EReRYrwZPZqEYRGAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:56:15.177906Z"},"content_sha256":"6a5bee05bf600065642ef3bb1be3e7099c378c58b8ae036326ec4ad63c6a3ac9","schema_version":"1.0","event_id":"sha256:6a5bee05bf600065642ef3bb1be3e7099c378c58b8ae036326ec4ad63c6a3ac9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QDV3F3LIRECFDJXZNH5SVUM47H/bundle.json","state_url":"https://pith.science/pith/QDV3F3LIRECFDJXZNH5SVUM47H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QDV3F3LIRECFDJXZNH5SVUM47H/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":"2026-07-07T04:56:15Z","links":{"resolver":"https://pith.science/pith/QDV3F3LIRECFDJXZNH5SVUM47H","bundle":"https://pith.science/pith/QDV3F3LIRECFDJXZNH5SVUM47H/bundle.json","state":"https://pith.science/pith/QDV3F3LIRECFDJXZNH5SVUM47H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QDV3F3LIRECFDJXZNH5SVUM47H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QDV3F3LIRECFDJXZNH5SVUM47H","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":"f90fcee53b574824832125f0b84f8b82f1556a9d3b66231674cad88f1fd558da","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-02-07T14:59:45Z","title_canon_sha256":"0ae26aee689eddf855cdb8c71827bed793f6654368575d43392c1cf68335891c"},"schema_version":"1.0","source":{"id":"1702.02052","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.02052","created_at":"2026-05-18T00:51:10Z"},{"alias_kind":"arxiv_version","alias_value":"1702.02052v1","created_at":"2026-05-18T00:51:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.02052","created_at":"2026-05-18T00:51:10Z"},{"alias_kind":"pith_short_12","alias_value":"QDV3F3LIRECF","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"QDV3F3LIRECFDJXZ","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"QDV3F3LI","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:6a5bee05bf600065642ef3bb1be3e7099c378c58b8ae036326ec4ad63c6a3ac9","target":"graph","created_at":"2026-05-18T00:51:10Z","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"},"paper":{"abstract_excerpt":"Domain adaptation is crucial in many real-world applications where the distribution of the training data differs from the distribution of the test data. Previous Deep Learning-based approaches to domain adaptation need to be trained jointly on source and target domain data and are therefore unappealing in scenarios where models need to be adapted to a large number of domains or where a domain is evolving, e.g. spam detection where attackers continuously change their tactics.\n  To fill this gap, we propose Knowledge Adaptation, an extension of Knowledge Distillation (Bucilua et al., 2006; Hinto","authors_text":"John G. Breslin, Parsa Ghaffari, Sebastian Ruder","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-02-07T14:59:45Z","title":"Knowledge Adaptation: Teaching to Adapt"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.02052","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:b9ffd998c99a40f077bcf267011062167110b57ea82f2992a23dccf08bbfff24","target":"record","created_at":"2026-05-18T00:51:10Z","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":"f90fcee53b574824832125f0b84f8b82f1556a9d3b66231674cad88f1fd558da","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-02-07T14:59:45Z","title_canon_sha256":"0ae26aee689eddf855cdb8c71827bed793f6654368575d43392c1cf68335891c"},"schema_version":"1.0","source":{"id":"1702.02052","kind":"arxiv","version":1}},"canonical_sha256":"80ebb2ed68890451a6f969fb2ad19cf9eb5d1c1c4f5e44310c8609406dcefe36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80ebb2ed68890451a6f969fb2ad19cf9eb5d1c1c4f5e44310c8609406dcefe36","first_computed_at":"2026-05-18T00:51:10.454922Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:51:10.454922Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YAf0CREuJHnKb4XyN3hBVFSFGKLw8pwkEBwagtzYlEOamVZa/sHZdweM7j4C2hySSXiG62qpdqBzSbZRVFJFCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:51:10.455700Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.02052","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9ffd998c99a40f077bcf267011062167110b57ea82f2992a23dccf08bbfff24","sha256:6a5bee05bf600065642ef3bb1be3e7099c378c58b8ae036326ec4ad63c6a3ac9"],"state_sha256":"54434fb8600a8279299d4f7b7b6c34d96fcaa8718e3a894b1cf43fcc47936453"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zTJSXKulv2c9ZbyLnPL5cFgzDv+XKSajRboEpB1cmhxPeXiRb/AuvEksl+r8PQbPWgQGbemHGW5xkzyEunTNCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T04:56:15.181305Z","bundle_sha256":"1d1156076eabf7b178073b5b8dfe06299f9f2db89e5427c3cf2cb7d1208fac97"}}