{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:X2B6NO2Q5XNFEP26UHYWLA5EAF","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":"fda93dd48cf6056dc189224c25ba14a97f98228e496c099b724ed7d13893358e","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-10T07:17:15Z","title_canon_sha256":"725fef8adf7c51d16049bc7c96fd1aa9609ad09a04c7dae43d0be2319a10038e"},"schema_version":"1.0","source":{"id":"2503.06993","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06993","created_at":"2026-07-05T10:27:47Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06993v1","created_at":"2026-07-05T10:27:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06993","created_at":"2026-07-05T10:27:47Z"},{"alias_kind":"pith_short_12","alias_value":"X2B6NO2Q5XNF","created_at":"2026-07-05T10:27:47Z"},{"alias_kind":"pith_short_16","alias_value":"X2B6NO2Q5XNFEP26","created_at":"2026-07-05T10:27:47Z"},{"alias_kind":"pith_short_8","alias_value":"X2B6NO2Q","created_at":"2026-07-05T10:27:47Z"}],"graph_snapshots":[{"event_id":"sha256:240fe3f8d8d43fdc41e13eb950ac2a94ffb71035c7b7c28f2e9465bd997a5391","target":"graph","created_at":"2026-07-05T10:27:47Z","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/2503.06993/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Effectively handling the co-occurrence of non-IID data and long-tailed distributions remains a critical challenge in federated learning. While fine-tuning vision-language models (VLMs) like CLIP has shown to be promising in addressing non-IID data challenges, this approach leads to severe degradation of tail classes in federated long-tailed scenarios. Under the composite effects of strong non-IID data distribution and long-tailed class imbalances, VLM fine-tuning may even fail to yield any improvement. To address this issue, we propose Class-Aware Prompt Learning for Federated Long-tailed Lear","authors_text":"Chao Wu, Hanzi Wang, Shihao Hou, Shreyank N Gowda, Xinyi Shang, Yang Lu, Yan Yan","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-10T07:17:15Z","title":"CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06993","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":"sha256:13f05bb400ee9cbf4b8a28685bbb9a4d1c26909b92ecaaec4b19e3a325504773","target":"record","created_at":"2026-07-05T10:27:47Z","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":"fda93dd48cf6056dc189224c25ba14a97f98228e496c099b724ed7d13893358e","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-10T07:17:15Z","title_canon_sha256":"725fef8adf7c51d16049bc7c96fd1aa9609ad09a04c7dae43d0be2319a10038e"},"schema_version":"1.0","source":{"id":"2503.06993","kind":"arxiv","version":1}},"canonical_sha256":"be83e6bb50edda523f5ea1f16583a4015fb7e0b1cbb444c8e18f778bf42a5b72","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be83e6bb50edda523f5ea1f16583a4015fb7e0b1cbb444c8e18f778bf42a5b72","first_computed_at":"2026-07-05T10:27:47.288025Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:27:47.288025Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"anivOC5/ZOCBrBkTjt5mPOHj2IaO0tmADGrYfqUBj2khTLsyUe4aEIjPaZYFiokdm08G83b79qfrXKdtCbNvCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:27:47.288750Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.06993","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:13f05bb400ee9cbf4b8a28685bbb9a4d1c26909b92ecaaec4b19e3a325504773","sha256:240fe3f8d8d43fdc41e13eb950ac2a94ffb71035c7b7c28f2e9465bd997a5391"],"state_sha256":"bd08500faae5d5ae420f6be397d8496a374f358a8cc9b0831f22472061501f93"}