{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:RVQAYMBQYWIYOKGAYQOIEDMH7I","short_pith_number":"pith:RVQAYMBQ","canonical_record":{"source":{"id":"2001.08735","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-23T18:55:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1ccb0693cf43cdd647ba6b563a0da6819b84f7430f49fae860b44ce1821462a8","abstract_canon_sha256":"f2e5a8b280574bdbc910ce92b186bcd10527a3f007931afbebd18f6f85acd15f"},"schema_version":"1.0"},"canonical_sha256":"8d600c3030c5918728c0c41c820d87fa39242ffa5a4a82e9ec4035a2b6ea4f16","source":{"kind":"arxiv","id":"2001.08735","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.08735","created_at":"2026-07-05T00:46:34Z"},{"alias_kind":"arxiv_version","alias_value":"2001.08735v3","created_at":"2026-07-05T00:46:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.08735","created_at":"2026-07-05T00:46:34Z"},{"alias_kind":"pith_short_12","alias_value":"RVQAYMBQYWIY","created_at":"2026-07-05T00:46:34Z"},{"alias_kind":"pith_short_16","alias_value":"RVQAYMBQYWIYOKGA","created_at":"2026-07-05T00:46:34Z"},{"alias_kind":"pith_short_8","alias_value":"RVQAYMBQ","created_at":"2026-07-05T00:46:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:RVQAYMBQYWIYOKGAYQOIEDMH7I","target":"record","payload":{"canonical_record":{"source":{"id":"2001.08735","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-23T18:55:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1ccb0693cf43cdd647ba6b563a0da6819b84f7430f49fae860b44ce1821462a8","abstract_canon_sha256":"f2e5a8b280574bdbc910ce92b186bcd10527a3f007931afbebd18f6f85acd15f"},"schema_version":"1.0"},"canonical_sha256":"8d600c3030c5918728c0c41c820d87fa39242ffa5a4a82e9ec4035a2b6ea4f16","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:46:34.766849Z","signature_b64":"dCbtxRWCBPQjRlMXBnMM02CaEbwtIp7HFsPP5dmfRFGw0GuLMa4g6HWWj2i7aAvjwr4lZekIy8Ar4pVnZCLCAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d600c3030c5918728c0c41c820d87fa39242ffa5a4a82e9ec4035a2b6ea4f16","last_reissued_at":"2026-07-05T00:46:34.766371Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:46:34.766371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2001.08735","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":"2026-07-05T00:46:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ww+L9dzGGyExzg/0SfxuorabyyZTlAn5SvbKS9GEBf9BYGaJsf2OUUtk0wRd9nnnjRIvRTHD7mCKM18/0+8bCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T11:02:07.142176Z"},"content_sha256":"4ba157e5c2139e9b6446947f72b4407a44330c153c71294a8187c7037b4a3382","schema_version":"1.0","event_id":"sha256:4ba157e5c2139e9b6446947f72b4407a44330c153c71294a8187c7037b4a3382"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:RVQAYMBQYWIYOKGAYQOIEDMH7I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Ming-Hsuan Yang","submitted_at":"2020-01-23T18:55:43Z","abstract_excerpt":"Few-shot classification aims to recognize novel categories with only few labeled images in each class. Existing metric-based few-shot classification algorithms predict categories by comparing the feature embeddings of query images with those from a few labeled images (support examples) using a learned metric function. While promising performance has been demonstrated, these methods often fail to generalize to unseen domains due to large discrepancy of the feature distribution across domains. In this work, we address the problem of few-shot classification under domain shifts for metric-based me"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.08735","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/2001.08735/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":"2026-07-05T00:46:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qHATGutSk/M0c8u3plvtaGP6i4cMxWr8HbaYi7ozd9fxJ47sWgDPkSXH/ae3RLurI17aRwudA0RFCEV9m7UHAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T11:02:07.142705Z"},"content_sha256":"05444dc9c59e8b30019fbfaca3e220e0aca24bacabb18360f922f6c08f49aa4e","schema_version":"1.0","event_id":"sha256:05444dc9c59e8b30019fbfaca3e220e0aca24bacabb18360f922f6c08f49aa4e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RVQAYMBQYWIYOKGAYQOIEDMH7I/bundle.json","state_url":"https://pith.science/pith/RVQAYMBQYWIYOKGAYQOIEDMH7I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RVQAYMBQYWIYOKGAYQOIEDMH7I/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":"2026-08-15T11:02:07Z","links":{"resolver":"https://pith.science/pith/RVQAYMBQYWIYOKGAYQOIEDMH7I","bundle":"https://pith.science/pith/RVQAYMBQYWIYOKGAYQOIEDMH7I/bundle.json","state":"https://pith.science/pith/RVQAYMBQYWIYOKGAYQOIEDMH7I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RVQAYMBQYWIYOKGAYQOIEDMH7I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:RVQAYMBQYWIYOKGAYQOIEDMH7I","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":"f2e5a8b280574bdbc910ce92b186bcd10527a3f007931afbebd18f6f85acd15f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-23T18:55:43Z","title_canon_sha256":"1ccb0693cf43cdd647ba6b563a0da6819b84f7430f49fae860b44ce1821462a8"},"schema_version":"1.0","source":{"id":"2001.08735","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.08735","created_at":"2026-07-05T00:46:34Z"},{"alias_kind":"arxiv_version","alias_value":"2001.08735v3","created_at":"2026-07-05T00:46:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.08735","created_at":"2026-07-05T00:46:34Z"},{"alias_kind":"pith_short_12","alias_value":"RVQAYMBQYWIY","created_at":"2026-07-05T00:46:34Z"},{"alias_kind":"pith_short_16","alias_value":"RVQAYMBQYWIYOKGA","created_at":"2026-07-05T00:46:34Z"},{"alias_kind":"pith_short_8","alias_value":"RVQAYMBQ","created_at":"2026-07-05T00:46:34Z"}],"graph_snapshots":[{"event_id":"sha256:05444dc9c59e8b30019fbfaca3e220e0aca24bacabb18360f922f6c08f49aa4e","target":"graph","created_at":"2026-07-05T00:46:34Z","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/2001.08735/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Few-shot classification aims to recognize novel categories with only few labeled images in each class. Existing metric-based few-shot classification algorithms predict categories by comparing the feature embeddings of query images with those from a few labeled images (support examples) using a learned metric function. While promising performance has been demonstrated, these methods often fail to generalize to unseen domains due to large discrepancy of the feature distribution across domains. In this work, we address the problem of few-shot classification under domain shifts for metric-based me","authors_text":"Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Ming-Hsuan Yang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-23T18:55:43Z","title":"Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.08735","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":"sha256:4ba157e5c2139e9b6446947f72b4407a44330c153c71294a8187c7037b4a3382","target":"record","created_at":"2026-07-05T00:46:34Z","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":"f2e5a8b280574bdbc910ce92b186bcd10527a3f007931afbebd18f6f85acd15f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-23T18:55:43Z","title_canon_sha256":"1ccb0693cf43cdd647ba6b563a0da6819b84f7430f49fae860b44ce1821462a8"},"schema_version":"1.0","source":{"id":"2001.08735","kind":"arxiv","version":3}},"canonical_sha256":"8d600c3030c5918728c0c41c820d87fa39242ffa5a4a82e9ec4035a2b6ea4f16","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d600c3030c5918728c0c41c820d87fa39242ffa5a4a82e9ec4035a2b6ea4f16","first_computed_at":"2026-07-05T00:46:34.766371Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:46:34.766371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dCbtxRWCBPQjRlMXBnMM02CaEbwtIp7HFsPP5dmfRFGw0GuLMa4g6HWWj2i7aAvjwr4lZekIy8Ar4pVnZCLCAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:46:34.766849Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.08735","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ba157e5c2139e9b6446947f72b4407a44330c153c71294a8187c7037b4a3382","sha256:05444dc9c59e8b30019fbfaca3e220e0aca24bacabb18360f922f6c08f49aa4e"],"state_sha256":"9a82ffc7d63a2aa300eaf424c1f0fb4cfa746505a6fb2497bab068b4503f92ff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OX3+SqcwiLcXol7Xe0h+3rv2ZvnX1getO/zIVT0W4MndkjisKPaDXgScTzYdCYv71Q0JvojsA1V2jDOh1q3uDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T11:02:07.146211Z","bundle_sha256":"0c440ce7b958d2d0ed9b5f074615481c6425cd573601c09b3353acaac3b5bb4a"}}