{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GEAE25JAYSXZN77OMRT7F3GHLW","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":"ada4e9fa7bbd34b6402912e81fd8af6ee1e362f4fd86fcf7137f7952b545de8b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-09-08T07:05:35Z","title_canon_sha256":"545be8bdcc74e73708d11d9e3fe834203fbc0eb14576aed7a6b87ad33b4519aa"},"schema_version":"1.0","source":{"id":"2509.06382","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.06382","created_at":"2026-07-05T12:06:34Z"},{"alias_kind":"arxiv_version","alias_value":"2509.06382v1","created_at":"2026-07-05T12:06:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.06382","created_at":"2026-07-05T12:06:34Z"},{"alias_kind":"pith_short_12","alias_value":"GEAE25JAYSXZ","created_at":"2026-07-05T12:06:34Z"},{"alias_kind":"pith_short_16","alias_value":"GEAE25JAYSXZN77O","created_at":"2026-07-05T12:06:34Z"},{"alias_kind":"pith_short_8","alias_value":"GEAE25JA","created_at":"2026-07-05T12:06:34Z"}],"graph_snapshots":[{"event_id":"sha256:900b5d674ea1c3a2ffb221276cf4ad44955ffdc03c48b0e4ffb2deab0bcd935f","target":"graph","created_at":"2026-07-05T12:06:34Z","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/2509.06382/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traditional hearing aids often rely on static fittings that fail to adapt to their dynamic acoustic environments. We propose CAFA, a Context-Adaptive Fitting Advisor that provides personalized, real-time hearing aid adjustments through a multi-agent Large Language Model (LLM) workflow. CAFA combines live ambient audio, audiograms, and user feedback in a multi-turn conversational system. Ambient sound is classified into conversation, noise, or quiet with 91.2\\% accuracy using a lightweight neural network based on YAMNet embeddings. This system utilizes a modular LLM workflow, comprising context","authors_text":"Hongbin Chen, Xiyuxing Zhang, Yingke Ding, Zeyu Wang, Zhenan Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-09-08T07:05:35Z","title":"Context-Adaptive Hearing Aid Fitting Advisor through Multi-turn Multimodal LLM Conversation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.06382","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:a7a445d9fd2a2584e8e2641a4ff46b1e08e92700bc47545c4ca039a4f4e4f687","target":"record","created_at":"2026-07-05T12:06:34Z","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":"ada4e9fa7bbd34b6402912e81fd8af6ee1e362f4fd86fcf7137f7952b545de8b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-09-08T07:05:35Z","title_canon_sha256":"545be8bdcc74e73708d11d9e3fe834203fbc0eb14576aed7a6b87ad33b4519aa"},"schema_version":"1.0","source":{"id":"2509.06382","kind":"arxiv","version":1}},"canonical_sha256":"31004d7520c4af96ffee6467f2ecc75db3b33a3ce7947ba070a3a73b91ea0fdd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31004d7520c4af96ffee6467f2ecc75db3b33a3ce7947ba070a3a73b91ea0fdd","first_computed_at":"2026-07-05T12:06:34.770015Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:34.770015Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1TSsifzqxeWb06lcI1tfB4xiJp0fOlHMs8N9VRtNlHWvFBX/jGpMzVFknnddnrgsVmUTBafbCjW5hVr7uHNEBg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:34.770428Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.06382","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a7a445d9fd2a2584e8e2641a4ff46b1e08e92700bc47545c4ca039a4f4e4f687","sha256:900b5d674ea1c3a2ffb221276cf4ad44955ffdc03c48b0e4ffb2deab0bcd935f"],"state_sha256":"642dee2ed00ecb747a865c64802b876c6f7763c6637913685877a59644c1f316"}