{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:DH7G2HQ45NFGU2TDKCY2RNNTLA","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":"e4da3aa3ef5e06e29c112c8503be0bc7d84afa5dfb41250a3032ef3a9c02b68a","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-27T19:57:27Z","title_canon_sha256":"20967cf9a6966924a18aad8304a658df1a01048caeb55e8e694dba234ec018fb"},"schema_version":"1.0","source":{"id":"2206.13607","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.13607","created_at":"2026-07-05T04:35:23Z"},{"alias_kind":"arxiv_version","alias_value":"2206.13607v1","created_at":"2026-07-05T04:35:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.13607","created_at":"2026-07-05T04:35:23Z"},{"alias_kind":"pith_short_12","alias_value":"DH7G2HQ45NFG","created_at":"2026-07-05T04:35:23Z"},{"alias_kind":"pith_short_16","alias_value":"DH7G2HQ45NFGU2TD","created_at":"2026-07-05T04:35:23Z"},{"alias_kind":"pith_short_8","alias_value":"DH7G2HQ4","created_at":"2026-07-05T04:35:23Z"}],"graph_snapshots":[{"event_id":"sha256:ab0ad68ae516fff01b6e5612781287550ee5d10eca55ece9a59bf98e614a2442","target":"graph","created_at":"2026-07-05T04:35:23Z","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/2206.13607/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Test-time augmentation -- the aggregation of predictions across transformed examples of test inputs -- is an established technique to improve the performance of image classification models. Importantly, TTA can be used to improve model performance post-hoc, without additional training. Although test-time augmentation (TTA) can be applied to any data modality, it has seen limited adoption in NLP due in part to the difficulty of identifying label-preserving transformations. In this paper, we present augmentation policies that yield significant accuracy improvements with language models. A key fi","authors_text":"Divya Shanmugam, Harini Suresh, Helen Lu, John Guttag","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-27T19:57:27Z","title":"Improved Text Classification via Test-Time Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.13607","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":"sha256:05a79ac30469b79f6c157ef5cc1e5e2eac82fa2e5341ece5c8a1cc88dba01bf0","target":"record","created_at":"2026-07-05T04:35:23Z","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":"e4da3aa3ef5e06e29c112c8503be0bc7d84afa5dfb41250a3032ef3a9c02b68a","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-27T19:57:27Z","title_canon_sha256":"20967cf9a6966924a18aad8304a658df1a01048caeb55e8e694dba234ec018fb"},"schema_version":"1.0","source":{"id":"2206.13607","kind":"arxiv","version":1}},"canonical_sha256":"19fe6d1e1ceb4a6a6a6350b1a8b5b3580ef9a85fad146c463b60d16047cc141b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19fe6d1e1ceb4a6a6a6350b1a8b5b3580ef9a85fad146c463b60d16047cc141b","first_computed_at":"2026-07-05T04:35:23.080884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:35:23.080884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CfI1ImHR7c+V7Xkmm64sBIaBSh0Th6fJsCabUFhOQ1aPAtjLCDfc6uOXhldve/zZcUATzeCJ9w/7p68kCQmJBg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:35:23.081290Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.13607","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05a79ac30469b79f6c157ef5cc1e5e2eac82fa2e5341ece5c8a1cc88dba01bf0","sha256:ab0ad68ae516fff01b6e5612781287550ee5d10eca55ece9a59bf98e614a2442"],"state_sha256":"63afbcad80432b1285d364ce9ed3cfe1a8a02fbffa63be9a48db9a9842956ee3"}