{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5625XNTY26MSUX4JLELTKVMNGS","short_pith_number":"pith:5625XNTY","canonical_record":{"source":{"id":"2403.18293","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T06:37:51Z","cross_cats_sorted":[],"title_canon_sha256":"64eafc79e7294ae673eb2af42adcaecd85b1ec14774f3c612986f0f5c6bc9dea","abstract_canon_sha256":"34962ee9984a6ed2fc4508a7e80481359ea3c29b4af9f983a1459943584f71a7"},"schema_version":"1.0"},"canonical_sha256":"efb5dbb678d7992a5f89591735558d348c51b5530b8712f98e7aba1251df5aee","source":{"kind":"arxiv","id":"2403.18293","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.18293","created_at":"2026-07-05T08:01:07Z"},{"alias_kind":"arxiv_version","alias_value":"2403.18293v1","created_at":"2026-07-05T08:01:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.18293","created_at":"2026-07-05T08:01:07Z"},{"alias_kind":"pith_short_12","alias_value":"5625XNTY26MS","created_at":"2026-07-05T08:01:07Z"},{"alias_kind":"pith_short_16","alias_value":"5625XNTY26MSUX4J","created_at":"2026-07-05T08:01:07Z"},{"alias_kind":"pith_short_8","alias_value":"5625XNTY","created_at":"2026-07-05T08:01:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5625XNTY26MSUX4JLELTKVMNGS","target":"record","payload":{"canonical_record":{"source":{"id":"2403.18293","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T06:37:51Z","cross_cats_sorted":[],"title_canon_sha256":"64eafc79e7294ae673eb2af42adcaecd85b1ec14774f3c612986f0f5c6bc9dea","abstract_canon_sha256":"34962ee9984a6ed2fc4508a7e80481359ea3c29b4af9f983a1459943584f71a7"},"schema_version":"1.0"},"canonical_sha256":"efb5dbb678d7992a5f89591735558d348c51b5530b8712f98e7aba1251df5aee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:01:07.505880Z","signature_b64":"72BdgNxB0tm8NESnBT4sG2reLR2Q/iQZJiuRtDq/Ztshro1uE43D/VGxR1qJOZz35zUlqB63ddiBGCJmg0KkCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"efb5dbb678d7992a5f89591735558d348c51b5530b8712f98e7aba1251df5aee","last_reissued_at":"2026-07-05T08:01:07.505032Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:01:07.505032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.18293","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:01:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fenpd2YM5iBHkT1Xt6g+3vEtpN3Z+VK8XxoGSOEXMor0QsOMmT5kUjJRV/FWYVGlikYX3KoV28atTi01hiTxBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T23:53:04.204086Z"},"content_sha256":"fda2cbaf345a400e115de46d912b2542e51baffcff67a8b0131db3333ce618df","schema_version":"1.0","event_id":"sha256:fda2cbaf345a400e115de46d912b2542e51baffcff67a8b0131db3333ce618df"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5625XNTY26MSUX4JLELTKVMNGS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Test-Time Adaptation of Vision-Language Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abdulmotaleb El Saddik, Adilbek Karmanov, Dayan Guan, Eric Xing, Shijian Lu","submitted_at":"2024-03-27T06:37:51Z","abstract_excerpt":"Test-time adaptation with pre-trained vision-language models has attracted increasing attention for tackling distribution shifts during the test time. Though prior studies have achieved very promising performance, they involve intensive computation which is severely unaligned with test-time adaptation. We design TDA, a training-free dynamic adapter that enables effective and efficient test-time adaptation with vision-language models. TDA works with a lightweight key-value cache that maintains a dynamic queue with few-shot pseudo labels as values and the corresponding test-sample features as ke"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.18293","kind":"arxiv","version":1},"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/2403.18293/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":"2026-07-05T08:01:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3El4jBL02sGjBo273HQHBtZe0oY/H+7tLsCE+6woWbIVES+9i87tJkJf6hiN2Z8sQMHJsS8xO6STnE7t2p2JDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T23:53:04.204479Z"},"content_sha256":"91f13265f78fb5508ff57adfaab402cfdf2eac7bd8675f04b37a06a5371e59ae","schema_version":"1.0","event_id":"sha256:91f13265f78fb5508ff57adfaab402cfdf2eac7bd8675f04b37a06a5371e59ae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5625XNTY26MSUX4JLELTKVMNGS/bundle.json","state_url":"https://pith.science/pith/5625XNTY26MSUX4JLELTKVMNGS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5625XNTY26MSUX4JLELTKVMNGS/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":"2026-07-08T23:53:04Z","links":{"resolver":"https://pith.science/pith/5625XNTY26MSUX4JLELTKVMNGS","bundle":"https://pith.science/pith/5625XNTY26MSUX4JLELTKVMNGS/bundle.json","state":"https://pith.science/pith/5625XNTY26MSUX4JLELTKVMNGS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5625XNTY26MSUX4JLELTKVMNGS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5625XNTY26MSUX4JLELTKVMNGS","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":"34962ee9984a6ed2fc4508a7e80481359ea3c29b4af9f983a1459943584f71a7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T06:37:51Z","title_canon_sha256":"64eafc79e7294ae673eb2af42adcaecd85b1ec14774f3c612986f0f5c6bc9dea"},"schema_version":"1.0","source":{"id":"2403.18293","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.18293","created_at":"2026-07-05T08:01:07Z"},{"alias_kind":"arxiv_version","alias_value":"2403.18293v1","created_at":"2026-07-05T08:01:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.18293","created_at":"2026-07-05T08:01:07Z"},{"alias_kind":"pith_short_12","alias_value":"5625XNTY26MS","created_at":"2026-07-05T08:01:07Z"},{"alias_kind":"pith_short_16","alias_value":"5625XNTY26MSUX4J","created_at":"2026-07-05T08:01:07Z"},{"alias_kind":"pith_short_8","alias_value":"5625XNTY","created_at":"2026-07-05T08:01:07Z"}],"graph_snapshots":[{"event_id":"sha256:91f13265f78fb5508ff57adfaab402cfdf2eac7bd8675f04b37a06a5371e59ae","target":"graph","created_at":"2026-07-05T08:01:07Z","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/2403.18293/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Test-time adaptation with pre-trained vision-language models has attracted increasing attention for tackling distribution shifts during the test time. Though prior studies have achieved very promising performance, they involve intensive computation which is severely unaligned with test-time adaptation. We design TDA, a training-free dynamic adapter that enables effective and efficient test-time adaptation with vision-language models. TDA works with a lightweight key-value cache that maintains a dynamic queue with few-shot pseudo labels as values and the corresponding test-sample features as ke","authors_text":"Abdulmotaleb El Saddik, Adilbek Karmanov, Dayan Guan, Eric Xing, Shijian Lu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T06:37:51Z","title":"Efficient Test-Time Adaptation of Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.18293","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:fda2cbaf345a400e115de46d912b2542e51baffcff67a8b0131db3333ce618df","target":"record","created_at":"2026-07-05T08:01:07Z","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":"34962ee9984a6ed2fc4508a7e80481359ea3c29b4af9f983a1459943584f71a7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-27T06:37:51Z","title_canon_sha256":"64eafc79e7294ae673eb2af42adcaecd85b1ec14774f3c612986f0f5c6bc9dea"},"schema_version":"1.0","source":{"id":"2403.18293","kind":"arxiv","version":1}},"canonical_sha256":"efb5dbb678d7992a5f89591735558d348c51b5530b8712f98e7aba1251df5aee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efb5dbb678d7992a5f89591735558d348c51b5530b8712f98e7aba1251df5aee","first_computed_at":"2026-07-05T08:01:07.505032Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:01:07.505032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"72BdgNxB0tm8NESnBT4sG2reLR2Q/iQZJiuRtDq/Ztshro1uE43D/VGxR1qJOZz35zUlqB63ddiBGCJmg0KkCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:01:07.505880Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.18293","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fda2cbaf345a400e115de46d912b2542e51baffcff67a8b0131db3333ce618df","sha256:91f13265f78fb5508ff57adfaab402cfdf2eac7bd8675f04b37a06a5371e59ae"],"state_sha256":"5cb9ed1ce057fff9b8e162a1e3dcf33d6160f0d2246f69e0b642219e4ff35721"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZqCfkWU87UYBLBFgPx7ILwXk7oeNxbGbNRiRaRSj46TwGPd1f5XZnoKT25fqp2959km4xU+3qr2Hx6pSWk/CCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T23:53:04.206549Z","bundle_sha256":"a78e14671c715d210983d7c23cc9f341b4c2c1fa3b39f6890636d4f36ddbf4a3"}}