{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VFMDO24FKJISFZWR3ODQXEKBV2","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":"7ea83d6cc229a1b55926fb086741dd2ae786311505fd3dd8f91ac574159e9584","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-22T07:21:41Z","title_canon_sha256":"675b0b0c9b3bec206715c1b0e1ecd6b1cdff59fdad24ea4c78cd20bdf550a58e"},"schema_version":"1.0","source":{"id":"2509.17428","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.17428","created_at":"2026-05-20T01:04:57Z"},{"alias_kind":"arxiv_version","alias_value":"2509.17428v4","created_at":"2026-05-20T01:04:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.17428","created_at":"2026-05-20T01:04:57Z"},{"alias_kind":"pith_short_12","alias_value":"VFMDO24FKJIS","created_at":"2026-05-20T01:04:57Z"},{"alias_kind":"pith_short_16","alias_value":"VFMDO24FKJISFZWR","created_at":"2026-05-20T01:04:57Z"},{"alias_kind":"pith_short_8","alias_value":"VFMDO24F","created_at":"2026-05-20T01:04:57Z"}],"graph_snapshots":[{"event_id":"sha256:bfdac10f2e1320750bcb02193ef84f500ed9cdf34b134f93e60a08edd8c65605","target":"graph","created_at":"2026-05-20T01:04:57Z","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/2509.17428/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The demand for efficient deployment of large language models (LLMs) has driven interest in quantization, which reduces inference cost, and parameter-efficient fine-tuning (PEFT), which lowers training overhead. This motivated the development of quantization-aware PEFT to produce accurate yet efficient quantized models. In this setting, reducing quantization error prior to fine-tuning is crucial for achieving high model accuracy. However, existing methods that rely on low-rank adaptation suffer from limited representational capacity. Recent Fourier-related transform (FT)-based adapters offer gr","authors_text":"Beomseok Kang, Hyesung Jeon, Jae-Joon Kim, Seojune Lee, Yulhwa Kim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-22T07:21:41Z","title":"QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.17428","kind":"arxiv","version":4},"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":"sha256:88cd3dd46baa07f23ed8cf0b239a35b89d03a143bc03447fc7018784fd0efe96","target":"record","created_at":"2026-05-20T01:04:57Z","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":"7ea83d6cc229a1b55926fb086741dd2ae786311505fd3dd8f91ac574159e9584","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-22T07:21:41Z","title_canon_sha256":"675b0b0c9b3bec206715c1b0e1ecd6b1cdff59fdad24ea4c78cd20bdf550a58e"},"schema_version":"1.0","source":{"id":"2509.17428","kind":"arxiv","version":4}},"canonical_sha256":"a958376b85525122e6d1db870b9141ae8602f0d7c01aba9d54771b807f2a9641","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a958376b85525122e6d1db870b9141ae8602f0d7c01aba9d54771b807f2a9641","first_computed_at":"2026-05-20T01:04:57.916765Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:04:57.916765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"thXXM3u0AUwJFeYI4l64luuF5zEnMsVmo3i1Li4bYh71xGeZ06dwYuddp51K9MgW7zmENZ2RzB0CWWRsVCMFCA==","signature_status":"signed_v1","signed_at":"2026-05-20T01:04:57.917773Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.17428","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88cd3dd46baa07f23ed8cf0b239a35b89d03a143bc03447fc7018784fd0efe96","sha256:bfdac10f2e1320750bcb02193ef84f500ed9cdf34b134f93e60a08edd8c65605"],"state_sha256":"256b3fb827c728a1629788e67a0db57c887489f0334d1459b725dbee61a40823"}