{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:BTOEPMQ5C3RXO3WX6SUUGV6HHI","short_pith_number":"pith:BTOEPMQ5","canonical_record":{"source":{"id":"2302.09309","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-18T11:54:37Z","cross_cats_sorted":[],"title_canon_sha256":"85825b470615da918c680631f7cd91f7e3bedf29481c128d60eb047ec93517c2","abstract_canon_sha256":"c1c80c473e148c6fd66cf56d3db2a1d778d69276e5c09133d643beccc26e6a3e"},"schema_version":"1.0"},"canonical_sha256":"0cdc47b21d16e3776ed7f4a94357c73a3c100eb8a85e9c4736a94642cb630d87","source":{"kind":"arxiv","id":"2302.09309","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.09309","created_at":"2026-07-05T06:07:37Z"},{"alias_kind":"arxiv_version","alias_value":"2302.09309v2","created_at":"2026-07-05T06:07:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.09309","created_at":"2026-07-05T06:07:37Z"},{"alias_kind":"pith_short_12","alias_value":"BTOEPMQ5C3RX","created_at":"2026-07-05T06:07:37Z"},{"alias_kind":"pith_short_16","alias_value":"BTOEPMQ5C3RXO3WX","created_at":"2026-07-05T06:07:37Z"},{"alias_kind":"pith_short_8","alias_value":"BTOEPMQ5","created_at":"2026-07-05T06:07:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:BTOEPMQ5C3RXO3WX6SUUGV6HHI","target":"record","payload":{"canonical_record":{"source":{"id":"2302.09309","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-18T11:54:37Z","cross_cats_sorted":[],"title_canon_sha256":"85825b470615da918c680631f7cd91f7e3bedf29481c128d60eb047ec93517c2","abstract_canon_sha256":"c1c80c473e148c6fd66cf56d3db2a1d778d69276e5c09133d643beccc26e6a3e"},"schema_version":"1.0"},"canonical_sha256":"0cdc47b21d16e3776ed7f4a94357c73a3c100eb8a85e9c4736a94642cb630d87","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:07:37.023962Z","signature_b64":"uWrCGLXsJ6VubdNsw7/t2qolYMFu4V9q5URXb8rQ38yP+aD9WM984E07hA801ArbGJqvegqQmfBCT0uLFmxBCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0cdc47b21d16e3776ed7f4a94357c73a3c100eb8a85e9c4736a94642cb630d87","last_reissued_at":"2026-07-05T06:07:37.023519Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:07:37.023519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.09309","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:07:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N/qjoYudtS/wS2yFRviasqZ1RQEtM9AyH7Dna8MjkeubXUPFxs/OD0LJ2ub+gMtwo6LLSol7KlCD5kN3CGPKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T01:11:38.889005Z"},"content_sha256":"8b94e71b26e5b55525bfec194d6437f6fd25ca4ff24ae1a861a5454acccc6460","schema_version":"1.0","event_id":"sha256:8b94e71b26e5b55525bfec194d6437f6fd25ca4ff24ae1a861a5454acccc6460"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:BTOEPMQ5C3RXO3WX6SUUGV6HHI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Yanwei Fu, Yu-Gang Jiang, Yuqian Fu, Yu Xie","submitted_at":"2023-02-18T11:54:37Z","abstract_excerpt":"Cross-Domain Few-Shot Learning (CD-FSL) is a recently emerging task that tackles few-shot learning across different domains. It aims at transferring prior knowledge learned on the source dataset to novel target datasets. The CD-FSL task is especially challenged by the huge domain gap between different datasets. Critically, such a domain gap actually comes from the changes of visual styles, and wave-SAN empirically shows that spanning the style distribution of the source data helps alleviate this issue. However, wave-SAN simply swaps styles of two images. Such a vanilla operation makes the gene"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.09309","kind":"arxiv","version":2},"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/2302.09309/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":"2026-07-05T06:07:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dU6O/Al4yL8IFcM/w2s6okHMkR38QHNX5Wyy3YSQU/ie6ge1lREwEIaiNI8nxcabuBDH//zxlEkTkRELAplKCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T01:11:38.889703Z"},"content_sha256":"92ae7689e59547c5059869992a257f6494c480d65df5f59ecf3e66e3ef63495c","schema_version":"1.0","event_id":"sha256:92ae7689e59547c5059869992a257f6494c480d65df5f59ecf3e66e3ef63495c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BTOEPMQ5C3RXO3WX6SUUGV6HHI/bundle.json","state_url":"https://pith.science/pith/BTOEPMQ5C3RXO3WX6SUUGV6HHI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BTOEPMQ5C3RXO3WX6SUUGV6HHI/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":"2026-08-18T01:11:38Z","links":{"resolver":"https://pith.science/pith/BTOEPMQ5C3RXO3WX6SUUGV6HHI","bundle":"https://pith.science/pith/BTOEPMQ5C3RXO3WX6SUUGV6HHI/bundle.json","state":"https://pith.science/pith/BTOEPMQ5C3RXO3WX6SUUGV6HHI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BTOEPMQ5C3RXO3WX6SUUGV6HHI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BTOEPMQ5C3RXO3WX6SUUGV6HHI","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":"c1c80c473e148c6fd66cf56d3db2a1d778d69276e5c09133d643beccc26e6a3e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-18T11:54:37Z","title_canon_sha256":"85825b470615da918c680631f7cd91f7e3bedf29481c128d60eb047ec93517c2"},"schema_version":"1.0","source":{"id":"2302.09309","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.09309","created_at":"2026-07-05T06:07:37Z"},{"alias_kind":"arxiv_version","alias_value":"2302.09309v2","created_at":"2026-07-05T06:07:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.09309","created_at":"2026-07-05T06:07:37Z"},{"alias_kind":"pith_short_12","alias_value":"BTOEPMQ5C3RX","created_at":"2026-07-05T06:07:37Z"},{"alias_kind":"pith_short_16","alias_value":"BTOEPMQ5C3RXO3WX","created_at":"2026-07-05T06:07:37Z"},{"alias_kind":"pith_short_8","alias_value":"BTOEPMQ5","created_at":"2026-07-05T06:07:37Z"}],"graph_snapshots":[{"event_id":"sha256:92ae7689e59547c5059869992a257f6494c480d65df5f59ecf3e66e3ef63495c","target":"graph","created_at":"2026-07-05T06:07:37Z","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/2302.09309/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cross-Domain Few-Shot Learning (CD-FSL) is a recently emerging task that tackles few-shot learning across different domains. It aims at transferring prior knowledge learned on the source dataset to novel target datasets. The CD-FSL task is especially challenged by the huge domain gap between different datasets. Critically, such a domain gap actually comes from the changes of visual styles, and wave-SAN empirically shows that spanning the style distribution of the source data helps alleviate this issue. However, wave-SAN simply swaps styles of two images. Such a vanilla operation makes the gene","authors_text":"Yanwei Fu, Yu-Gang Jiang, Yuqian Fu, Yu Xie","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-18T11:54:37Z","title":"StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.09309","kind":"arxiv","version":2},"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":"sha256:8b94e71b26e5b55525bfec194d6437f6fd25ca4ff24ae1a861a5454acccc6460","target":"record","created_at":"2026-07-05T06:07:37Z","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":"c1c80c473e148c6fd66cf56d3db2a1d778d69276e5c09133d643beccc26e6a3e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-18T11:54:37Z","title_canon_sha256":"85825b470615da918c680631f7cd91f7e3bedf29481c128d60eb047ec93517c2"},"schema_version":"1.0","source":{"id":"2302.09309","kind":"arxiv","version":2}},"canonical_sha256":"0cdc47b21d16e3776ed7f4a94357c73a3c100eb8a85e9c4736a94642cb630d87","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0cdc47b21d16e3776ed7f4a94357c73a3c100eb8a85e9c4736a94642cb630d87","first_computed_at":"2026-07-05T06:07:37.023519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:07:37.023519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uWrCGLXsJ6VubdNsw7/t2qolYMFu4V9q5URXb8rQ38yP+aD9WM984E07hA801ArbGJqvegqQmfBCT0uLFmxBCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:07:37.023962Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.09309","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8b94e71b26e5b55525bfec194d6437f6fd25ca4ff24ae1a861a5454acccc6460","sha256:92ae7689e59547c5059869992a257f6494c480d65df5f59ecf3e66e3ef63495c"],"state_sha256":"032e444f16668d475c4d32236b73b7311c6b16dc37d3596bd450387d61544622"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W/fVP2/G4XlCdny9y0Fz5LXrlXeI2ZUnQmn5XJZ5EwoTnzuFzJseA5Gg9NJopJMrHmL6qkRVXoxDmPkhPGPdAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T01:11:38.895819Z","bundle_sha256":"145199287e5ace00513c95b2a3d72426d2e8173612e9797eb0775310b2a2004e"}}