{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:PVKUL2CCZ75WK2FQ7JK3GCJNIQ","short_pith_number":"pith:PVKUL2CC","canonical_record":{"source":{"id":"2311.01459","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-02T17:59:32Z","cross_cats_sorted":[],"title_canon_sha256":"2ab9698bfcc51e704a0048c0ac57389743410d55af761c71b9cabecfb4cec641","abstract_canon_sha256":"3f621ebf5de98b438a19350f0e5dd5a9bc9dcfca84c5ac6479695ad2bef87f22"},"schema_version":"1.0"},"canonical_sha256":"7d5545e842cffb6568b0fa55b3092d4415d77e0065d3500a6282d7b16da1b4dc","source":{"kind":"arxiv","id":"2311.01459","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01459","created_at":"2026-07-05T07:32:24Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01459v2","created_at":"2026-07-05T07:32:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01459","created_at":"2026-07-05T07:32:24Z"},{"alias_kind":"pith_short_12","alias_value":"PVKUL2CCZ75W","created_at":"2026-07-05T07:32:24Z"},{"alias_kind":"pith_short_16","alias_value":"PVKUL2CCZ75WK2FQ","created_at":"2026-07-05T07:32:24Z"},{"alias_kind":"pith_short_8","alias_value":"PVKUL2CC","created_at":"2026-07-05T07:32:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:PVKUL2CCZ75WK2FQ7JK3GCJNIQ","target":"record","payload":{"canonical_record":{"source":{"id":"2311.01459","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-02T17:59:32Z","cross_cats_sorted":[],"title_canon_sha256":"2ab9698bfcc51e704a0048c0ac57389743410d55af761c71b9cabecfb4cec641","abstract_canon_sha256":"3f621ebf5de98b438a19350f0e5dd5a9bc9dcfca84c5ac6479695ad2bef87f22"},"schema_version":"1.0"},"canonical_sha256":"7d5545e842cffb6568b0fa55b3092d4415d77e0065d3500a6282d7b16da1b4dc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:32:24.633581Z","signature_b64":"aYXZyGqvv+fqxUUdG4K9fxJZGnlZ6e1Rh4Az4DgOQ81EzhYAMtGfYixYum2gRLWg3VwR1s5mOLOq4EzkuXyPCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7d5545e842cffb6568b0fa55b3092d4415d77e0065d3500a6282d7b16da1b4dc","last_reissued_at":"2026-07-05T07:32:24.633114Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:32:24.633114Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.01459","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:32:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ufSEdDEJ0QZf7mP7VZacbsTuyDnCYYhbiRbdRFwarGy6OItlVk2SC1uNGMBlyx0x7Db03tOi0+gMyK3h/kpWAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:39:37.562153Z"},"content_sha256":"5b793cddf1040ed6b57bf45ead876a7c039fd3c813b0170a901d8d6c05ba1bb2","schema_version":"1.0","event_id":"sha256:5b793cddf1040ed6b57bf45ead876a7c039fd3c813b0170a901d8d6c05ba1bb2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:PVKUL2CCZ75WK2FQ7JK3GCJNIQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fahad Shahbaz Khan, Hanan Gani, Jameel Hassan, Muhammad Uzair Khattak, Muzammal Naseer, Noor Hussein, Salman Khan","submitted_at":"2023-11-02T17:59:32Z","abstract_excerpt":"The promising zero-shot generalization of vision-language models such as CLIP has led to their adoption using prompt learning for numerous downstream tasks. Previous works have shown test-time prompt tuning using entropy minimization to adapt text prompts for unseen domains. While effective, this overlooks the key cause for performance degradation to unseen domains -- distribution shift. In this work, we explicitly handle this problem by aligning the out-of-distribution (OOD) test sample statistics to those of the source data using prompt tuning. We use a single test sample to adapt multi-moda"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01459","kind":"arxiv","version":2},"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/2311.01459/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":"2026-07-05T07:32:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xo8Q7UKkbnvj4Lp5SNRpPect2XVJQSdjwZiZffU3K5FwJbvoe+QjPPYG3YyP+gT8k/QHuquopu+ru0Cay0pjBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:39:37.562541Z"},"content_sha256":"18139bfa65adba133c114f620d70e33fcb1f21049ef90a900542b9894562c875","schema_version":"1.0","event_id":"sha256:18139bfa65adba133c114f620d70e33fcb1f21049ef90a900542b9894562c875"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PVKUL2CCZ75WK2FQ7JK3GCJNIQ/bundle.json","state_url":"https://pith.science/pith/PVKUL2CCZ75WK2FQ7JK3GCJNIQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PVKUL2CCZ75WK2FQ7JK3GCJNIQ/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":"2026-07-07T15:39:37Z","links":{"resolver":"https://pith.science/pith/PVKUL2CCZ75WK2FQ7JK3GCJNIQ","bundle":"https://pith.science/pith/PVKUL2CCZ75WK2FQ7JK3GCJNIQ/bundle.json","state":"https://pith.science/pith/PVKUL2CCZ75WK2FQ7JK3GCJNIQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PVKUL2CCZ75WK2FQ7JK3GCJNIQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PVKUL2CCZ75WK2FQ7JK3GCJNIQ","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":"3f621ebf5de98b438a19350f0e5dd5a9bc9dcfca84c5ac6479695ad2bef87f22","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-02T17:59:32Z","title_canon_sha256":"2ab9698bfcc51e704a0048c0ac57389743410d55af761c71b9cabecfb4cec641"},"schema_version":"1.0","source":{"id":"2311.01459","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01459","created_at":"2026-07-05T07:32:24Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01459v2","created_at":"2026-07-05T07:32:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01459","created_at":"2026-07-05T07:32:24Z"},{"alias_kind":"pith_short_12","alias_value":"PVKUL2CCZ75W","created_at":"2026-07-05T07:32:24Z"},{"alias_kind":"pith_short_16","alias_value":"PVKUL2CCZ75WK2FQ","created_at":"2026-07-05T07:32:24Z"},{"alias_kind":"pith_short_8","alias_value":"PVKUL2CC","created_at":"2026-07-05T07:32:24Z"}],"graph_snapshots":[{"event_id":"sha256:18139bfa65adba133c114f620d70e33fcb1f21049ef90a900542b9894562c875","target":"graph","created_at":"2026-07-05T07:32:24Z","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/2311.01459/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The promising zero-shot generalization of vision-language models such as CLIP has led to their adoption using prompt learning for numerous downstream tasks. Previous works have shown test-time prompt tuning using entropy minimization to adapt text prompts for unseen domains. While effective, this overlooks the key cause for performance degradation to unseen domains -- distribution shift. In this work, we explicitly handle this problem by aligning the out-of-distribution (OOD) test sample statistics to those of the source data using prompt tuning. We use a single test sample to adapt multi-moda","authors_text":"Fahad Shahbaz Khan, Hanan Gani, Jameel Hassan, Muhammad Uzair Khattak, Muzammal Naseer, Noor Hussein, Salman Khan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-02T17:59:32Z","title":"Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01459","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":"sha256:5b793cddf1040ed6b57bf45ead876a7c039fd3c813b0170a901d8d6c05ba1bb2","target":"record","created_at":"2026-07-05T07:32:24Z","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":"3f621ebf5de98b438a19350f0e5dd5a9bc9dcfca84c5ac6479695ad2bef87f22","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-02T17:59:32Z","title_canon_sha256":"2ab9698bfcc51e704a0048c0ac57389743410d55af761c71b9cabecfb4cec641"},"schema_version":"1.0","source":{"id":"2311.01459","kind":"arxiv","version":2}},"canonical_sha256":"7d5545e842cffb6568b0fa55b3092d4415d77e0065d3500a6282d7b16da1b4dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d5545e842cffb6568b0fa55b3092d4415d77e0065d3500a6282d7b16da1b4dc","first_computed_at":"2026-07-05T07:32:24.633114Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:32:24.633114Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aYXZyGqvv+fqxUUdG4K9fxJZGnlZ6e1Rh4Az4DgOQ81EzhYAMtGfYixYum2gRLWg3VwR1s5mOLOq4EzkuXyPCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:32:24.633581Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.01459","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b793cddf1040ed6b57bf45ead876a7c039fd3c813b0170a901d8d6c05ba1bb2","sha256:18139bfa65adba133c114f620d70e33fcb1f21049ef90a900542b9894562c875"],"state_sha256":"ba81ae15cf3156e9f6a34feee649b1b1489027125926c28b641b60380ace6f10"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ccQP9srKCp9HwA44L/p4ts5m48Pq04zF8ufAJtxKsZvEoiKTvHQaf+e0EuUCbkwRHIlKp0v/cNnLrGrwVTMQBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:39:37.564489Z","bundle_sha256":"9d877c94a24feccae1bd320405d4592ac0a90ce6250ada1c8086ac95839233b9"}}