{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ULCCLUGUYT2ZN57HVGMFCMAI3E","short_pith_number":"pith:ULCCLUGU","canonical_record":{"source":{"id":"1904.11227","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-25T09:21:16Z","cross_cats_sorted":[],"title_canon_sha256":"4b32200c35a0d99b6a14f1a58b4c18527ae26a28f9ed42f99e85306a46c6b52e","abstract_canon_sha256":"7af7c7faffb0dc718cbd2619e0a35cbcdcb24a31e672c0b8bd3d4ace6b53a904"},"schema_version":"1.0"},"canonical_sha256":"a2c425d0d4c4f596f7e7a998513008d93d2bde1d13370d1e4ac690b6cef91f54","source":{"kind":"arxiv","id":"1904.11227","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.11227","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"arxiv_version","alias_value":"1904.11227v1","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.11227","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"pith_short_12","alias_value":"ULCCLUGUYT2Z","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"ULCCLUGUYT2ZN57H","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"ULCCLUGU","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ULCCLUGUYT2ZN57HVGMFCMAI3E","target":"record","payload":{"canonical_record":{"source":{"id":"1904.11227","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-25T09:21:16Z","cross_cats_sorted":[],"title_canon_sha256":"4b32200c35a0d99b6a14f1a58b4c18527ae26a28f9ed42f99e85306a46c6b52e","abstract_canon_sha256":"7af7c7faffb0dc718cbd2619e0a35cbcdcb24a31e672c0b8bd3d4ace6b53a904"},"schema_version":"1.0"},"canonical_sha256":"a2c425d0d4c4f596f7e7a998513008d93d2bde1d13370d1e4ac690b6cef91f54","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:45.464490Z","signature_b64":"Tf1EjXIfXxCXRYHEj1q3KFYU2ETHSNN78p5Gd3awIBJx6XNlypFz6DVOj8dCamZ0OsZHLetVc4lkdxigrJTkDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2c425d0d4c4f596f7e7a998513008d93d2bde1d13370d1e4ac690b6cef91f54","last_reissued_at":"2026-05-17T23:47:45.464084Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:45.464084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.11227","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":"2026-05-17T23:47:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"49sT3SZ/+F/dz6G20MHKS4vCwAGGHbfJyhLjnyEEYibk9DFQ/si5VrQx9q7/e9qikisYUNlGC7jqeWX6sYo6Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T23:18:28.098666Z"},"content_sha256":"d330a67dada54b22adc8cf9305b7a6c76f5753386d4ee339c587f2eaf8278e54","schema_version":"1.0","event_id":"sha256:d330a67dada54b22adc8cf9305b7a6c76f5753386d4ee339c587f2eaf8278e54"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ULCCLUGUYT2ZN57HVGMFCMAI3E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transferrable Prototypical Networks for Unsupervised Domain Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chong-Wah Ngo, Tao Mei, Ting Yao, Yehao Li, Yingwei Pan, Yu Wang","submitted_at":"2019-04-25T09:21:16Z","abstract_excerpt":"In this paper, we introduce a new idea for unsupervised domain adaptation via a remold of Prototypical Networks, which learn an embedding space and perform classification via a remold of the distances to the prototype of each class. Specifically, we present Transferrable Prototypical Networks (TPN) for adaptation such that the prototypes for each class in source and target domains are close in the embedding space and the score distributions predicted by prototypes separately on source and target data are similar. Technically, TPN initially matches each target example to the nearest prototype i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.11227","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":"2026-05-17T23:47:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R5zhuwWvADSKvS7//APGR/olfV0vbyB9ktY95d8NzJrs0q6p2P3TPRdVHm5HZoClbLA5IktFSzUWZUNHf9cXDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T23:18:28.099407Z"},"content_sha256":"01ddb8a4fa063febf096c1674277147e8d592a0014771ea3a4e60b80af782531","schema_version":"1.0","event_id":"sha256:01ddb8a4fa063febf096c1674277147e8d592a0014771ea3a4e60b80af782531"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ULCCLUGUYT2ZN57HVGMFCMAI3E/bundle.json","state_url":"https://pith.science/pith/ULCCLUGUYT2ZN57HVGMFCMAI3E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ULCCLUGUYT2ZN57HVGMFCMAI3E/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":"2026-05-25T23:18:28Z","links":{"resolver":"https://pith.science/pith/ULCCLUGUYT2ZN57HVGMFCMAI3E","bundle":"https://pith.science/pith/ULCCLUGUYT2ZN57HVGMFCMAI3E/bundle.json","state":"https://pith.science/pith/ULCCLUGUYT2ZN57HVGMFCMAI3E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ULCCLUGUYT2ZN57HVGMFCMAI3E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ULCCLUGUYT2ZN57HVGMFCMAI3E","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":"7af7c7faffb0dc718cbd2619e0a35cbcdcb24a31e672c0b8bd3d4ace6b53a904","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-25T09:21:16Z","title_canon_sha256":"4b32200c35a0d99b6a14f1a58b4c18527ae26a28f9ed42f99e85306a46c6b52e"},"schema_version":"1.0","source":{"id":"1904.11227","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.11227","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"arxiv_version","alias_value":"1904.11227v1","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.11227","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"pith_short_12","alias_value":"ULCCLUGUYT2Z","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"ULCCLUGUYT2ZN57H","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"ULCCLUGU","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:01ddb8a4fa063febf096c1674277147e8d592a0014771ea3a4e60b80af782531","target":"graph","created_at":"2026-05-17T23:47:45Z","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":"In this paper, we introduce a new idea for unsupervised domain adaptation via a remold of Prototypical Networks, which learn an embedding space and perform classification via a remold of the distances to the prototype of each class. Specifically, we present Transferrable Prototypical Networks (TPN) for adaptation such that the prototypes for each class in source and target domains are close in the embedding space and the score distributions predicted by prototypes separately on source and target data are similar. Technically, TPN initially matches each target example to the nearest prototype i","authors_text":"Chong-Wah Ngo, Tao Mei, Ting Yao, Yehao Li, Yingwei Pan, Yu Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-25T09:21:16Z","title":"Transferrable Prototypical Networks for Unsupervised Domain Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.11227","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:d330a67dada54b22adc8cf9305b7a6c76f5753386d4ee339c587f2eaf8278e54","target":"record","created_at":"2026-05-17T23:47:45Z","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":"7af7c7faffb0dc718cbd2619e0a35cbcdcb24a31e672c0b8bd3d4ace6b53a904","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-25T09:21:16Z","title_canon_sha256":"4b32200c35a0d99b6a14f1a58b4c18527ae26a28f9ed42f99e85306a46c6b52e"},"schema_version":"1.0","source":{"id":"1904.11227","kind":"arxiv","version":1}},"canonical_sha256":"a2c425d0d4c4f596f7e7a998513008d93d2bde1d13370d1e4ac690b6cef91f54","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2c425d0d4c4f596f7e7a998513008d93d2bde1d13370d1e4ac690b6cef91f54","first_computed_at":"2026-05-17T23:47:45.464084Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:45.464084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Tf1EjXIfXxCXRYHEj1q3KFYU2ETHSNN78p5Gd3awIBJx6XNlypFz6DVOj8dCamZ0OsZHLetVc4lkdxigrJTkDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:45.464490Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.11227","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d330a67dada54b22adc8cf9305b7a6c76f5753386d4ee339c587f2eaf8278e54","sha256:01ddb8a4fa063febf096c1674277147e8d592a0014771ea3a4e60b80af782531"],"state_sha256":"642410505e0d97e8275d7e9f14c5ad7feab0303343b79ae5edde4b65fb7a48c8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g4vyVWSghOPzE+DlhivOZwqjWw9+3KXzpm98wxez3XJ8Q8sow690H2ZdXRgb/HGA+51hgZjW+cdSdrrG/NRfBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T23:18:28.103460Z","bundle_sha256":"a34f837ad2ddc3ec8fd5d9558d3dd55174ef29eab22a54787ba1996823d3315c"}}