{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RD4H3QVRONAGGD3EBROLONVM3S","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":"1ba0aedeed59c057c1eaca28eda920a4f14a02443e694f936a07a3c6b8532dab","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-30T14:13:52Z","title_canon_sha256":"6bf7f966d4003d72873e216c3a27e5926e9b1d6fb7971429d480ff5996084e30"},"schema_version":"1.0","source":{"id":"2606.00739","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00739","created_at":"2026-06-02T01:04:04Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00739v1","created_at":"2026-06-02T01:04:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00739","created_at":"2026-06-02T01:04:04Z"},{"alias_kind":"pith_short_12","alias_value":"RD4H3QVRONAG","created_at":"2026-06-02T01:04:04Z"},{"alias_kind":"pith_short_16","alias_value":"RD4H3QVRONAGGD3E","created_at":"2026-06-02T01:04:04Z"},{"alias_kind":"pith_short_8","alias_value":"RD4H3QVR","created_at":"2026-06-02T01:04:04Z"}],"graph_snapshots":[{"event_id":"sha256:1d3f77982a744cf54ce501c39b492d448c13ce9bbe6d8b9278b08951764265ec","target":"graph","created_at":"2026-06-02T01:04:04Z","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/2606.00739/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models hallucinate even when the answer lies within their parameters. While inference-time scaling can surface this latent knowledge, the most effective methods require supervision: a trained verifier or reward model. We ask what can be done with only a base language model: which intrinsic signal best identifies correct outputs, and how should it be decoded? We cast this as a score~$\\times$~decoder grid pairing four scores (perplexity, contrastive, power-distribution likelihood, and self-verification) with three decoding families (optimization, sampling, consensus), and evaluate","authors_text":"Cheng-Lin Yang, Che-Yu Lin, Yun-Chen Cheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-30T14:13:52Z","title":"Score $\\times$ Decoder: A Unified View of Unsupervised Inference-Time Scaling for Hallucination Mitigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00739","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":"sha256:87139289d38b5812506e82297a5e445029ebd8087a89fd48924bcbf48bc2955e","target":"record","created_at":"2026-06-02T01:04:04Z","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":"1ba0aedeed59c057c1eaca28eda920a4f14a02443e694f936a07a3c6b8532dab","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-30T14:13:52Z","title_canon_sha256":"6bf7f966d4003d72873e216c3a27e5926e9b1d6fb7971429d480ff5996084e30"},"schema_version":"1.0","source":{"id":"2606.00739","kind":"arxiv","version":1}},"canonical_sha256":"88f87dc2b17340630f640c5cb736acdcaa83a3ec7743a63c336c7db4ef1cfb5b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88f87dc2b17340630f640c5cb736acdcaa83a3ec7743a63c336c7db4ef1cfb5b","first_computed_at":"2026-06-02T01:04:04.261989Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:04:04.261989Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GHVkZ1IEFGa5C+mWDCASdnG5xRGFk0CVlGxq79HRW78VLiS48J4/lEJenzTI71m9d/wzaNhKetWIRtLPKzKTBQ==","signature_status":"signed_v1","signed_at":"2026-06-02T01:04:04.262358Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00739","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:87139289d38b5812506e82297a5e445029ebd8087a89fd48924bcbf48bc2955e","sha256:1d3f77982a744cf54ce501c39b492d448c13ce9bbe6d8b9278b08951764265ec"],"state_sha256":"21d0625489bc59e632fda34d1736ded5448ae13f8700bf760b4949b5fe452873"}