{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:XVBBYG7TAPRMS765WUBLAVWESQ","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":"cc6fc05c9f15197f85010c9f60724cf18c5af27d1d835920212452e460e61a38","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-18T01:14:02Z","title_canon_sha256":"73f2cd305a1f8d4ced3ab778ef9e143894b0f78280ffd6b7cffab22f85ba2be3"},"schema_version":"1.0","source":{"id":"2210.09520","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.09520","created_at":"2026-07-05T06:05:30Z"},{"alias_kind":"arxiv_version","alias_value":"2210.09520v6","created_at":"2026-07-05T06:05:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.09520","created_at":"2026-07-05T06:05:30Z"},{"alias_kind":"pith_short_12","alias_value":"XVBBYG7TAPRM","created_at":"2026-07-05T06:05:30Z"},{"alias_kind":"pith_short_16","alias_value":"XVBBYG7TAPRMS765","created_at":"2026-07-05T06:05:30Z"},{"alias_kind":"pith_short_8","alias_value":"XVBBYG7T","created_at":"2026-07-05T06:05:30Z"}],"graph_snapshots":[{"event_id":"sha256:c4d6fa8706809332b5089a91418801afde803f49ba1e3c891a442f553333fb58","target":"graph","created_at":"2026-07-05T06:05:30Z","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/2210.09520/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"It is expensive to collect training data for every possible domain that a vision model may encounter when deployed. We instead consider how simply verbalizing the training domain (e.g. \"photos of birds\") as well as domains we want to extend to but do not have data for (e.g. \"paintings of birds\") can improve robustness. Using a multimodal model with a joint image and language embedding space, our method LADS learns a transformation of the image embeddings from the training domain to each unseen test domain, while preserving task relevant information. Without using any images from the unseen tes","authors_text":"Aditi Raghunathan, Anja Rohrbach, Clara Mohri, Devin Guillory, Han Zhang, Joseph E. Gonzalez, Lisa Dunlap, Trevor Darrell","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-18T01:14:02Z","title":"Using Language to Extend to Unseen Domains"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.09520","kind":"arxiv","version":6},"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:a2bafd6f80f6e0761cef74a85c9354ec97d65c66d923a37afb619761cf6d660d","target":"record","created_at":"2026-07-05T06:05:30Z","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":"cc6fc05c9f15197f85010c9f60724cf18c5af27d1d835920212452e460e61a38","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-18T01:14:02Z","title_canon_sha256":"73f2cd305a1f8d4ced3ab778ef9e143894b0f78280ffd6b7cffab22f85ba2be3"},"schema_version":"1.0","source":{"id":"2210.09520","kind":"arxiv","version":6}},"canonical_sha256":"bd421c1bf303e2c97fddb502b056c4942a65d2a6145191c1a5952b620ee84902","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd421c1bf303e2c97fddb502b056c4942a65d2a6145191c1a5952b620ee84902","first_computed_at":"2026-07-05T06:05:30.300035Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:05:30.300035Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aFSFf6TyKdGyaiIhDuv0w9umg0/3/EAbO1rEua15H39GSpkKqHf45kJ95eoepNHWtqhkaqEPRM0XTHnnR1JrCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:05:30.300537Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.09520","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2bafd6f80f6e0761cef74a85c9354ec97d65c66d923a37afb619761cf6d660d","sha256:c4d6fa8706809332b5089a91418801afde803f49ba1e3c891a442f553333fb58"],"state_sha256":"834136ade7e30e19ecbb134e3df885f596e10c36cc489f8fe7d51c43360bc347"}