{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UCF4V6NMSQZOFRBNJFLSNPSE3G","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":"b26de3a338ea3b6d7aebdb8f9477b5a25394f53a0d55ca19571cbe370342096d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-12T05:57:37Z","title_canon_sha256":"97da4f466ef6d2bcb67cd93ae3ab3f2bac48d9aef4119996ab928f16fb7b276c"},"schema_version":"1.0","source":{"id":"2405.07171","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.07171","created_at":"2026-07-05T08:18:17Z"},{"alias_kind":"arxiv_version","alias_value":"2405.07171v1","created_at":"2026-07-05T08:18:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.07171","created_at":"2026-07-05T08:18:17Z"},{"alias_kind":"pith_short_12","alias_value":"UCF4V6NMSQZO","created_at":"2026-07-05T08:18:17Z"},{"alias_kind":"pith_short_16","alias_value":"UCF4V6NMSQZOFRBN","created_at":"2026-07-05T08:18:17Z"},{"alias_kind":"pith_short_8","alias_value":"UCF4V6NM","created_at":"2026-07-05T08:18:17Z"}],"graph_snapshots":[{"event_id":"sha256:f5ec30af881a5839c9cb42a0e2fae0d8585e5dcd5eaf4dfa9a0d722fe4bd3b6a","target":"graph","created_at":"2026-07-05T08:18:17Z","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/2405.07171/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Online Test-Time Adaptation (OTTA) has emerged as an effective strategy to handle distributional shifts, allowing on-the-fly adaptation of pre-trained models to new target domains during inference, without the need for source data. We uncovered that the widely studied entropy minimization (EM) method for OTTA, suffers from noisy gradients due to ambiguity near decision boundaries and incorrect low-entropy predictions. To overcome these limitations, this paper introduces a novel cosine alignment optimization approach with a dual-objective loss function that refines the precision of class predic","authors_text":"Alireza Bab-Hadiashar, Ruwan Tennakoon, WeiQin Chuah","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-12T05:57:37Z","title":"Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.07171","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:dbbbe04e5e5a3f0db6df788f44a73c01b57569df98c6696aaa5e188d51b3107e","target":"record","created_at":"2026-07-05T08:18:17Z","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":"b26de3a338ea3b6d7aebdb8f9477b5a25394f53a0d55ca19571cbe370342096d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-12T05:57:37Z","title_canon_sha256":"97da4f466ef6d2bcb67cd93ae3ab3f2bac48d9aef4119996ab928f16fb7b276c"},"schema_version":"1.0","source":{"id":"2405.07171","kind":"arxiv","version":1}},"canonical_sha256":"a08bcaf9ac9432e2c42d495726be44d9bd767742a5c6366327450bae692ea08f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a08bcaf9ac9432e2c42d495726be44d9bd767742a5c6366327450bae692ea08f","first_computed_at":"2026-07-05T08:18:17.884921Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:18:17.884921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1ShIoNDX441zunfxyUxDoR2dwxP86epZGGnKJ1A46kC7dXPme08pqmYB8YHNf5JyXnzpOY/A/1SjDDYU8qmqCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:18:17.885426Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.07171","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dbbbe04e5e5a3f0db6df788f44a73c01b57569df98c6696aaa5e188d51b3107e","sha256:f5ec30af881a5839c9cb42a0e2fae0d8585e5dcd5eaf4dfa9a0d722fe4bd3b6a"],"state_sha256":"41b6f7429c856c669fa03772db4243762dde670856357ea9d89b7199e8725aa5"}