{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PF3FNG6HBJIHX6SFT4MZLNRVKT","short_pith_number":"pith:PF3FNG6H","canonical_record":{"source":{"id":"2506.00344","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-31T02:08:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"96009fb8892cf950d1e1dd59d0c325d5067d07e12bb58ce129514d233b200c07","abstract_canon_sha256":"201f0277c8433299028b833097f25ae172f19abe515bf8ef5b2d16c0c5d6f91e"},"schema_version":"1.0"},"canonical_sha256":"7976569bc70a507bfa459f1995b63554ee65c388968e881ad19876bbcbbb55ec","source":{"kind":"arxiv","id":"2506.00344","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00344","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00344v1","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00344","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"pith_short_12","alias_value":"PF3FNG6HBJIH","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"pith_short_16","alias_value":"PF3FNG6HBJIHX6SF","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"pith_short_8","alias_value":"PF3FNG6H","created_at":"2026-07-05T11:13:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PF3FNG6HBJIHX6SFT4MZLNRVKT","target":"record","payload":{"canonical_record":{"source":{"id":"2506.00344","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-31T02:08:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"96009fb8892cf950d1e1dd59d0c325d5067d07e12bb58ce129514d233b200c07","abstract_canon_sha256":"201f0277c8433299028b833097f25ae172f19abe515bf8ef5b2d16c0c5d6f91e"},"schema_version":"1.0"},"canonical_sha256":"7976569bc70a507bfa459f1995b63554ee65c388968e881ad19876bbcbbb55ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:32.903577Z","signature_b64":"kBCO8kzejFp2ijl3k+wW0ulG9xV5TNqunxG3f5CNxYhBA7HY1FIbj9FJcnYZfEMUeiWd/UnB/sbp0pDq6sBOCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7976569bc70a507bfa459f1995b63554ee65c388968e881ad19876bbcbbb55ec","last_reissued_at":"2026-07-05T11:13:32.903144Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:32.903144Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.00344","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:13:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EZ3kg2ipW3HIsnzzHIt297MrWeL8f1p8W41OcxoxeKlgXPZhqjRInf0RUBhI9mwdN8xf+UDDijKThdz9VsGaCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T10:32:30.281728Z"},"content_sha256":"5187d1dbca89161e7c320b65de4e1550b38f898a96088d1061d1d640d0b263e9","schema_version":"1.0","event_id":"sha256:5187d1dbca89161e7c320b65de4e1550b38f898a96088d1061d1d640d0b263e9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PF3FNG6HBJIHX6SFT4MZLNRVKT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Eunhyeok Park, Hoyoung Kim, Jeongyeon Hwang, Jungseul Ok, Sungjae Lee","submitted_at":"2025-05-31T02:08:32Z","abstract_excerpt":"Scaling test-time computation--generating and analyzing multiple or sequential outputs for a single input--has become a promising strategy for improving the reliability and quality of large language models (LLMs), as evidenced by advances in uncertainty quantification and multi-step reasoning. A key shared component is semantic clustering, which groups outputs that differ in form but convey the same meaning. Semantic clustering enables estimation of the distribution over the semantics of outputs and helps avoid redundant exploration of reasoning paths. However, existing approaches typically re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00344","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.00344/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:13:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3kDio1MYJEMRFvMt0SSjazDMfrP3AOw2kkg1usHyD/jAXxgvTo0hg18/A7ZyqQOW2enylpLnvwHvCqHmLPSfDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T10:32:30.282288Z"},"content_sha256":"17c7da337931f3bed6ac68a67286ecff44e4cef36da4efcf3213dddab3fae538","schema_version":"1.0","event_id":"sha256:17c7da337931f3bed6ac68a67286ecff44e4cef36da4efcf3213dddab3fae538"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PF3FNG6HBJIHX6SFT4MZLNRVKT/bundle.json","state_url":"https://pith.science/pith/PF3FNG6HBJIHX6SFT4MZLNRVKT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PF3FNG6HBJIHX6SFT4MZLNRVKT/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T10:32:30Z","links":{"resolver":"https://pith.science/pith/PF3FNG6HBJIHX6SFT4MZLNRVKT","bundle":"https://pith.science/pith/PF3FNG6HBJIHX6SFT4MZLNRVKT/bundle.json","state":"https://pith.science/pith/PF3FNG6HBJIHX6SFT4MZLNRVKT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PF3FNG6HBJIHX6SFT4MZLNRVKT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PF3FNG6HBJIHX6SFT4MZLNRVKT","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":"201f0277c8433299028b833097f25ae172f19abe515bf8ef5b2d16c0c5d6f91e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-31T02:08:32Z","title_canon_sha256":"96009fb8892cf950d1e1dd59d0c325d5067d07e12bb58ce129514d233b200c07"},"schema_version":"1.0","source":{"id":"2506.00344","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00344","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00344v1","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00344","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"pith_short_12","alias_value":"PF3FNG6HBJIH","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"pith_short_16","alias_value":"PF3FNG6HBJIHX6SF","created_at":"2026-07-05T11:13:32Z"},{"alias_kind":"pith_short_8","alias_value":"PF3FNG6H","created_at":"2026-07-05T11:13:32Z"}],"graph_snapshots":[{"event_id":"sha256:17c7da337931f3bed6ac68a67286ecff44e4cef36da4efcf3213dddab3fae538","target":"graph","created_at":"2026-07-05T11:13:32Z","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/2506.00344/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scaling test-time computation--generating and analyzing multiple or sequential outputs for a single input--has become a promising strategy for improving the reliability and quality of large language models (LLMs), as evidenced by advances in uncertainty quantification and multi-step reasoning. A key shared component is semantic clustering, which groups outputs that differ in form but convey the same meaning. Semantic clustering enables estimation of the distribution over the semantics of outputs and helps avoid redundant exploration of reasoning paths. However, existing approaches typically re","authors_text":"Eunhyeok Park, Hoyoung Kim, Jeongyeon Hwang, Jungseul Ok, Sungjae Lee","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-31T02:08:32Z","title":"Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00344","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":"sha256:5187d1dbca89161e7c320b65de4e1550b38f898a96088d1061d1d640d0b263e9","target":"record","created_at":"2026-07-05T11:13:32Z","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":"201f0277c8433299028b833097f25ae172f19abe515bf8ef5b2d16c0c5d6f91e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-31T02:08:32Z","title_canon_sha256":"96009fb8892cf950d1e1dd59d0c325d5067d07e12bb58ce129514d233b200c07"},"schema_version":"1.0","source":{"id":"2506.00344","kind":"arxiv","version":1}},"canonical_sha256":"7976569bc70a507bfa459f1995b63554ee65c388968e881ad19876bbcbbb55ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7976569bc70a507bfa459f1995b63554ee65c388968e881ad19876bbcbbb55ec","first_computed_at":"2026-07-05T11:13:32.903144Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:32.903144Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kBCO8kzejFp2ijl3k+wW0ulG9xV5TNqunxG3f5CNxYhBA7HY1FIbj9FJcnYZfEMUeiWd/UnB/sbp0pDq6sBOCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:32.903577Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.00344","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5187d1dbca89161e7c320b65de4e1550b38f898a96088d1061d1d640d0b263e9","sha256:17c7da337931f3bed6ac68a67286ecff44e4cef36da4efcf3213dddab3fae538"],"state_sha256":"2510e421d0749ec135f7c5951c07637ec6b3d73842a655909084bca128137c7c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wE3rMYv2ElvMUOneP10a5R/N5cQEqSb+9kLR/v2qdsoyzdYcbNpX6EyuBPUEqQUC7n29oea1OwgqwRxGHzcuAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T10:32:30.287526Z","bundle_sha256":"353129b27395b8ee25cf8cee73c277d6e8e9c1398acbf2955fa9513e461ee78f"}}