{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RQPO7T3AQKSIQJG77ISXROLRQD","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":"98a7a6466a622448a4f41e91e9ecc0eff96a80449d09320e0d420b90797b96fd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-07T07:13:53Z","title_canon_sha256":"f3d4cdfb865bc6ac30766fe10198f3030472c68186473a9fffa44c2905d6263d"},"schema_version":"1.0","source":{"id":"2302.03298","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.03298","created_at":"2026-07-05T06:01:16Z"},{"alias_kind":"arxiv_version","alias_value":"2302.03298v4","created_at":"2026-07-05T06:01:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.03298","created_at":"2026-07-05T06:01:16Z"},{"alias_kind":"pith_short_12","alias_value":"RQPO7T3AQKSI","created_at":"2026-07-05T06:01:16Z"},{"alias_kind":"pith_short_16","alias_value":"RQPO7T3AQKSIQJG7","created_at":"2026-07-05T06:01:16Z"},{"alias_kind":"pith_short_8","alias_value":"RQPO7T3A","created_at":"2026-07-05T06:01:16Z"}],"graph_snapshots":[{"event_id":"sha256:889ca39f8ea9db2a3040dd477e71e2b866f15e890560fa17278ada5a4d9a24b7","target":"graph","created_at":"2026-07-05T06:01:16Z","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/2302.03298/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we investigate the problem of Model-Agnostic Zero-Shot Classification (MA-ZSC), which refers to training non-specific classification architectures (downstream models) to classify real images without using any real images during training. Recent research has demonstrated that generating synthetic training images using diffusion models provides a potential solution to address MA-ZSC. However, the performance of this approach currently falls short of that achieved by large-scale vision-language models. One possible explanation is a potential significant domain gap between synthetic ","authors_text":"Arnold Wiliem, Clinton Fookes, Jordan Shipard, Kien Nguyen Thanh, Wei Xiang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-07T07:13:53Z","title":"Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.03298","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:afb11b9792ed8db5235cee46c9063097396174d35e1351f13f43970ee51e16fd","target":"record","created_at":"2026-07-05T06:01:16Z","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":"98a7a6466a622448a4f41e91e9ecc0eff96a80449d09320e0d420b90797b96fd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-07T07:13:53Z","title_canon_sha256":"f3d4cdfb865bc6ac30766fe10198f3030472c68186473a9fffa44c2905d6263d"},"schema_version":"1.0","source":{"id":"2302.03298","kind":"arxiv","version":4}},"canonical_sha256":"8c1eefcf6082a48824dffa2578b97180cad9d74a07266bc543d590642331d7bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8c1eefcf6082a48824dffa2578b97180cad9d74a07266bc543d590642331d7bc","first_computed_at":"2026-07-05T06:01:16.945930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:01:16.945930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VPNpxlqmZhC70f0WM76iV8Bd2bRYWpYGVglJqXiORfXRcmHtaPQSG3Gg5+pckB+fakQAQ5zelVPFsCNilvJ4Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:01:16.946407Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.03298","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:afb11b9792ed8db5235cee46c9063097396174d35e1351f13f43970ee51e16fd","sha256:889ca39f8ea9db2a3040dd477e71e2b866f15e890560fa17278ada5a4d9a24b7"],"state_sha256":"393622dd29cea594f9c40ed026d5ce6cf89f97d1cd38c732ccd33b93f60583dc"}