{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TJW23EIDPBJWRARQLF7NBVV6M5","short_pith_number":"pith:TJW23EID","schema_version":"1.0","canonical_sha256":"9a6dad91037853688230597ed0d6be674649b65e643e9f4ef46ac0d5e4121695","source":{"kind":"arxiv","id":"2608.12279","version":1},"attestation_state":"computed","paper":{"title":"Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fei Wen, Junming Zhang, Peilin Liu, Rendong Ying, Shuyu Yin","submitted_at":"2026-08-12T17:17:40Z","abstract_excerpt":"Test-time adaptation (TTA) aims to enhance the cross-domain performance of pre-trained models by adapting to unlabeled test data. While most existing TTA methods rely on backpropagation (BP) for finetuning, BP-free methods such as zeroth-order (ZO) methods are more desired in practical on-device scenarios. ZO methods rely only on forward computation, which can largely reduce the complexity and memory overhead of on-device deployment. However, ZO methods suffer from much higher variance compared with first-order methods in estimating the gradient. To address this, we propose an improved ZO meth"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.12279","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-12T17:17:40Z","cross_cats_sorted":[],"title_canon_sha256":"b3677b241186cbc363f307829013e2fd540d33bf804470db476335e3880fb83f","abstract_canon_sha256":"8eec8a3de4c9b67a0a21b1eea3be987aa2064ed9eefff8cb203e193ef2e8a5a6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-13T01:30:42.171574Z","signature_b64":"xkLSILPakFxaulqfgexf6WVzj+j1TbIsqbFNkPZIj2NZPPzi+rfRm2njqS94+U+PedWY1vPN6Z7b442DtznRCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a6dad91037853688230597ed0d6be674649b65e643e9f4ef46ac0d5e4121695","last_reissued_at":"2026-08-13T01:30:42.167519Z","signature_status":"signed_v1","first_computed_at":"2026-08-13T01:30:42.167519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fei Wen, Junming Zhang, Peilin Liu, Rendong Ying, Shuyu Yin","submitted_at":"2026-08-12T17:17:40Z","abstract_excerpt":"Test-time adaptation (TTA) aims to enhance the cross-domain performance of pre-trained models by adapting to unlabeled test data. While most existing TTA methods rely on backpropagation (BP) for finetuning, BP-free methods such as zeroth-order (ZO) methods are more desired in practical on-device scenarios. ZO methods rely only on forward computation, which can largely reduce the complexity and memory overhead of on-device deployment. However, ZO methods suffer from much higher variance compared with first-order methods in estimating the gradient. To address this, we propose an improved ZO meth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.12279","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/2608.12279/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.12279","created_at":"2026-08-13T01:30:42.169473+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.12279v1","created_at":"2026-08-13T01:30:42.169473+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.12279","created_at":"2026-08-13T01:30:42.169473+00:00"},{"alias_kind":"pith_short_12","alias_value":"TJW23EIDPBJW","created_at":"2026-08-13T01:30:42.169473+00:00"},{"alias_kind":"pith_short_16","alias_value":"TJW23EIDPBJWRARQ","created_at":"2026-08-13T01:30:42.169473+00:00"},{"alias_kind":"pith_short_8","alias_value":"TJW23EID","created_at":"2026-08-13T01:30:42.169473+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TJW23EIDPBJWRARQLF7NBVV6M5","json":"https://pith.science/pith/TJW23EIDPBJWRARQLF7NBVV6M5.json","graph_json":"https://pith.science/api/pith-number/TJW23EIDPBJWRARQLF7NBVV6M5/graph.json","events_json":"https://pith.science/api/pith-number/TJW23EIDPBJWRARQLF7NBVV6M5/events.json","paper":"https://pith.science/paper/TJW23EID"},"agent_actions":{"view_html":"https://pith.science/pith/TJW23EIDPBJWRARQLF7NBVV6M5","download_json":"https://pith.science/pith/TJW23EIDPBJWRARQLF7NBVV6M5.json","view_paper":"https://pith.science/paper/TJW23EID","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.12279&json=true","fetch_graph":"https://pith.science/api/pith-number/TJW23EIDPBJWRARQLF7NBVV6M5/graph.json","fetch_events":"https://pith.science/api/pith-number/TJW23EIDPBJWRARQLF7NBVV6M5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TJW23EIDPBJWRARQLF7NBVV6M5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TJW23EIDPBJWRARQLF7NBVV6M5/action/storage_attestation","attest_author":"https://pith.science/pith/TJW23EIDPBJWRARQLF7NBVV6M5/action/author_attestation","sign_citation":"https://pith.science/pith/TJW23EIDPBJWRARQLF7NBVV6M5/action/citation_signature","submit_replication":"https://pith.science/pith/TJW23EIDPBJWRARQLF7NBVV6M5/action/replication_record"}},"created_at":"2026-08-13T01:30:42.169473+00:00","updated_at":"2026-08-13T01:30:42.169473+00:00"}