{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SDBC6BVFQJRD5V2D3DNQVETT2Z","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":"13535deae0b78f700c59ddf78f1bee528cdc813118061cc656c69e5da182a2e6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-20T14:37:53Z","title_canon_sha256":"285257a7c939cf06e70aa54929ef0f9bd7d5efeeab6b33358b38950f9a697924"},"schema_version":"1.0","source":{"id":"2502.14604","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.14604","created_at":"2026-07-05T10:45:17Z"},{"alias_kind":"arxiv_version","alias_value":"2502.14604v2","created_at":"2026-07-05T10:45:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.14604","created_at":"2026-07-05T10:45:17Z"},{"alias_kind":"pith_short_12","alias_value":"SDBC6BVFQJRD","created_at":"2026-07-05T10:45:17Z"},{"alias_kind":"pith_short_16","alias_value":"SDBC6BVFQJRD5V2D","created_at":"2026-07-05T10:45:17Z"},{"alias_kind":"pith_short_8","alias_value":"SDBC6BVF","created_at":"2026-07-05T10:45:17Z"}],"graph_snapshots":[{"event_id":"sha256:d71e1fcf73cc43c84e1822f335c9b3a199e8a52c66fbc2752966265cbad65577","target":"graph","created_at":"2026-07-05T10:45:17Z","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/2502.14604/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Test-time adaptation (TTA) aims to address distribution shifts between source and target data by relying solely on target data during testing. In open-world scenarios, models often encounter noisy samples, i.e., samples outside the in-distribution (ID) label space. Leveraging the zero-shot capability of pre-trained vision-language models (VLMs), this paper introduces Zero-Shot Noisy TTA (ZS-NTTA), focusing on adapting the model to target data with noisy samples during test-time in a zero-shot manner. We find existing TTA methods underperform under ZS-NTTA, often lagging behind even the frozen ","authors_text":"Bo Han, Chentao Cao, Kun Zhang, Tongliang Liu, Yang Liu, Zhanke Zhou, Zhun Zhong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-20T14:37:53Z","title":"Noisy Test-Time Adaptation in Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.14604","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":"sha256:16ea8e288d489dc34bacf652f8316a19f3e35bb76773cf62bfd9d12a763fe459","target":"record","created_at":"2026-07-05T10:45:17Z","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":"13535deae0b78f700c59ddf78f1bee528cdc813118061cc656c69e5da182a2e6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-20T14:37:53Z","title_canon_sha256":"285257a7c939cf06e70aa54929ef0f9bd7d5efeeab6b33358b38950f9a697924"},"schema_version":"1.0","source":{"id":"2502.14604","kind":"arxiv","version":2}},"canonical_sha256":"90c22f06a582623ed743d8db0a9273d65c1799b5f854bef167adc20cac771af1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90c22f06a582623ed743d8db0a9273d65c1799b5f854bef167adc20cac771af1","first_computed_at":"2026-07-05T10:45:17.358302Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:17.358302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y9tb1uZxDF5iWl1exrHyzkBPnTE122QYyMNASmOTGt41sYrpzntJEMbNOkAwJClTCFLAirQwCni60HLBdudwBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:17.358836Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.14604","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16ea8e288d489dc34bacf652f8316a19f3e35bb76773cf62bfd9d12a763fe459","sha256:d71e1fcf73cc43c84e1822f335c9b3a199e8a52c66fbc2752966265cbad65577"],"state_sha256":"98cc85c5f9456dfafb17f4bce0e24541a1de6d012e44e9833e8a69123ddb5300"}