{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JBNDNIQJ5BVJWAE74DB453SEVO","short_pith_number":"pith:JBNDNIQJ","canonical_record":{"source":{"id":"2605.28142","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T08:24:56Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"961047830dd5d9d9034b6f5c47d3d837230b11a8f633b68625f4eb1a6dbd71d7","abstract_canon_sha256":"84986d76dfbb1b6bcb2ef94fe77100efde550cf5a13d2d28b97f5b39a6a51729"},"schema_version":"1.0"},"canonical_sha256":"485a36a209e86a9b009fe0c3ceee44abacd100174e251f729409a13d2098e06c","source":{"kind":"arxiv","id":"2605.28142","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28142","created_at":"2026-05-28T01:05:00Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28142v1","created_at":"2026-05-28T01:05:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28142","created_at":"2026-05-28T01:05:00Z"},{"alias_kind":"pith_short_12","alias_value":"JBNDNIQJ5BVJ","created_at":"2026-05-28T01:05:00Z"},{"alias_kind":"pith_short_16","alias_value":"JBNDNIQJ5BVJWAE7","created_at":"2026-05-28T01:05:00Z"},{"alias_kind":"pith_short_8","alias_value":"JBNDNIQJ","created_at":"2026-05-28T01:05:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JBNDNIQJ5BVJWAE74DB453SEVO","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28142","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T08:24:56Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"961047830dd5d9d9034b6f5c47d3d837230b11a8f633b68625f4eb1a6dbd71d7","abstract_canon_sha256":"84986d76dfbb1b6bcb2ef94fe77100efde550cf5a13d2d28b97f5b39a6a51729"},"schema_version":"1.0"},"canonical_sha256":"485a36a209e86a9b009fe0c3ceee44abacd100174e251f729409a13d2098e06c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:05:00.254949Z","signature_b64":"ukWos6phMc23XwGPEvY2f3ogv57p/eHrpkLZw1A9wvU9XQ87TS4/j/Lzts+Z8DpC1gt2zikws9sFQcfChHBKDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"485a36a209e86a9b009fe0c3ceee44abacd100174e251f729409a13d2098e06c","last_reissued_at":"2026-05-28T01:05:00.254552Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:05:00.254552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28142","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":"2026-05-28T01:05:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p9kGXJkq+BcBAZUc5pqGBuCbLqY1wf8RXOnuX9OIHpZFaaabpO3ASfJk4vnleesKspywr7Y5E3kNM4FMY83hCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T20:59:50.758040Z"},"content_sha256":"5658b62f4fb065161bf7db4cf1ee24cffe5d46930f70338e5c68caced6e80227","schema_version":"1.0","event_id":"sha256:5658b62f4fb065161bf7db4cf1ee24cffe5d46930f70338e5c68caced6e80227"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JBNDNIQJ5BVJWAE74DB453SEVO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-Consistency via Marginal Sharpening","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Aleksei Arzhantsev, Nicolas Chopin, Otmane Sakhi","submitted_at":"2026-05-27T08:24:56Z","abstract_excerpt":"Inference-time sampling can elicit strong reasoning abilities from language models without additional training. Existing power-sampling methods do so by sharpening the distribution over full generated outputs, favoring completions that are individually likely under the model. We argue that this is the wrong object to target for reasoning: a completion entangles a reasoning trace with a final answer, whereas what matters is whether an answer is supported by many plausible reasoning paths. We therefore shift the target from the full-output distribution to the sharpened answer marginal, making se"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28142","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/2605.28142/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":"2026-05-28T01:05:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FqY9K1bapmX5NIw/4pK1aBkATWlGK8juBo0Q1cOAYOnmEsfuIb7opSatGnGZLjLKfV8KXCfsplpcBJzc50VzDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T20:59:50.758442Z"},"content_sha256":"84853a36c1f0865805f5489142c9319a98b65752aa2ff3f91c93a01ac6a15acb","schema_version":"1.0","event_id":"sha256:84853a36c1f0865805f5489142c9319a98b65752aa2ff3f91c93a01ac6a15acb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JBNDNIQJ5BVJWAE74DB453SEVO/bundle.json","state_url":"https://pith.science/pith/JBNDNIQJ5BVJWAE74DB453SEVO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JBNDNIQJ5BVJWAE74DB453SEVO/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":"2026-06-03T20:59:50Z","links":{"resolver":"https://pith.science/pith/JBNDNIQJ5BVJWAE74DB453SEVO","bundle":"https://pith.science/pith/JBNDNIQJ5BVJWAE74DB453SEVO/bundle.json","state":"https://pith.science/pith/JBNDNIQJ5BVJWAE74DB453SEVO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JBNDNIQJ5BVJWAE74DB453SEVO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JBNDNIQJ5BVJWAE74DB453SEVO","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":"84986d76dfbb1b6bcb2ef94fe77100efde550cf5a13d2d28b97f5b39a6a51729","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T08:24:56Z","title_canon_sha256":"961047830dd5d9d9034b6f5c47d3d837230b11a8f633b68625f4eb1a6dbd71d7"},"schema_version":"1.0","source":{"id":"2605.28142","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28142","created_at":"2026-05-28T01:05:00Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28142v1","created_at":"2026-05-28T01:05:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28142","created_at":"2026-05-28T01:05:00Z"},{"alias_kind":"pith_short_12","alias_value":"JBNDNIQJ5BVJ","created_at":"2026-05-28T01:05:00Z"},{"alias_kind":"pith_short_16","alias_value":"JBNDNIQJ5BVJWAE7","created_at":"2026-05-28T01:05:00Z"},{"alias_kind":"pith_short_8","alias_value":"JBNDNIQJ","created_at":"2026-05-28T01:05:00Z"}],"graph_snapshots":[{"event_id":"sha256:84853a36c1f0865805f5489142c9319a98b65752aa2ff3f91c93a01ac6a15acb","target":"graph","created_at":"2026-05-28T01:05:00Z","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/2605.28142/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inference-time sampling can elicit strong reasoning abilities from language models without additional training. Existing power-sampling methods do so by sharpening the distribution over full generated outputs, favoring completions that are individually likely under the model. We argue that this is the wrong object to target for reasoning: a completion entangles a reasoning trace with a final answer, whereas what matters is whether an answer is supported by many plausible reasoning paths. We therefore shift the target from the full-output distribution to the sharpened answer marginal, making se","authors_text":"Aleksei Arzhantsev, Nicolas Chopin, Otmane Sakhi","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T08:24:56Z","title":"Self-Consistency via Marginal Sharpening"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28142","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":"sha256:5658b62f4fb065161bf7db4cf1ee24cffe5d46930f70338e5c68caced6e80227","target":"record","created_at":"2026-05-28T01:05:00Z","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":"84986d76dfbb1b6bcb2ef94fe77100efde550cf5a13d2d28b97f5b39a6a51729","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T08:24:56Z","title_canon_sha256":"961047830dd5d9d9034b6f5c47d3d837230b11a8f633b68625f4eb1a6dbd71d7"},"schema_version":"1.0","source":{"id":"2605.28142","kind":"arxiv","version":1}},"canonical_sha256":"485a36a209e86a9b009fe0c3ceee44abacd100174e251f729409a13d2098e06c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"485a36a209e86a9b009fe0c3ceee44abacd100174e251f729409a13d2098e06c","first_computed_at":"2026-05-28T01:05:00.254552Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:05:00.254552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ukWos6phMc23XwGPEvY2f3ogv57p/eHrpkLZw1A9wvU9XQ87TS4/j/Lzts+Z8DpC1gt2zikws9sFQcfChHBKDA==","signature_status":"signed_v1","signed_at":"2026-05-28T01:05:00.254949Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28142","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5658b62f4fb065161bf7db4cf1ee24cffe5d46930f70338e5c68caced6e80227","sha256:84853a36c1f0865805f5489142c9319a98b65752aa2ff3f91c93a01ac6a15acb"],"state_sha256":"797285b6ea7725a7a27a3f932260630ade53e2a0d360112a5b6aafd89705c27f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OJFMnv3e7NUA9slDzaeyNQ7s68j1imJBurey/KbocK34Ab4YVO3NSZDSGdSz/UGOd33n79yyH+hOBOBbV3hDBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T20:59:50.760435Z","bundle_sha256":"c0dce65ecc325ea48ef35d28b2aac1a9b67686f4823f8e2ec98871871652c1a9"}}