{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:S6ECUKFYDHIFKJM3XNTKR7TEP5","short_pith_number":"pith:S6ECUKFY","canonical_record":{"source":{"id":"2507.00004","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-10T14:47:48Z","cross_cats_sorted":["cs.AI","cs.CY","cs.PF"],"title_canon_sha256":"b17027c111447da455fd41c0cc99662baa15f882b77519e371ca20d98832f8f3","abstract_canon_sha256":"812d239716a5792ff6b92cc1c20d2bd6933fca6465bc5c02600e69092cdddda3"},"schema_version":"1.0"},"canonical_sha256":"97882a28b819d055259bbb66a8fe647f42463c76581bc475ea91a299c2b7ce0f","source":{"kind":"arxiv","id":"2507.00004","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00004","created_at":"2026-07-05T11:34:52Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00004v2","created_at":"2026-07-05T11:34:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00004","created_at":"2026-07-05T11:34:52Z"},{"alias_kind":"pith_short_12","alias_value":"S6ECUKFYDHIF","created_at":"2026-07-05T11:34:52Z"},{"alias_kind":"pith_short_16","alias_value":"S6ECUKFYDHIFKJM3","created_at":"2026-07-05T11:34:52Z"},{"alias_kind":"pith_short_8","alias_value":"S6ECUKFY","created_at":"2026-07-05T11:34:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:S6ECUKFYDHIFKJM3XNTKR7TEP5","target":"record","payload":{"canonical_record":{"source":{"id":"2507.00004","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-10T14:47:48Z","cross_cats_sorted":["cs.AI","cs.CY","cs.PF"],"title_canon_sha256":"b17027c111447da455fd41c0cc99662baa15f882b77519e371ca20d98832f8f3","abstract_canon_sha256":"812d239716a5792ff6b92cc1c20d2bd6933fca6465bc5c02600e69092cdddda3"},"schema_version":"1.0"},"canonical_sha256":"97882a28b819d055259bbb66a8fe647f42463c76581bc475ea91a299c2b7ce0f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:52.764559Z","signature_b64":"0bq1wR+lsg4jWilnQjEIAmMRwuZf50GO+Z4alnqnN+J3zkfP9mPU9kFUH22FlW6DTRURfDhflUj9VVCCyq1bAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"97882a28b819d055259bbb66a8fe647f42463c76581bc475ea91a299c2b7ce0f","last_reissued_at":"2026-07-05T11:34:52.764049Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:52.764049Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.00004","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:34:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4gKU/Au/y5d3rH868N3Ypy7iKqSc1EWpOOzGmHDa21fEd7GPd2t6k0wHVYcYqjravOJI9L82gTePtAgSIdq5Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:48:00.669177Z"},"content_sha256":"4f64d473a66319f8fa48a6631b45ba8136deae1e5db0cab76d5b8189b74cfea7","schema_version":"1.0","event_id":"sha256:4f64d473a66319f8fa48a6631b45ba8136deae1e5db0cab76d5b8189b74cfea7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:S6ECUKFYDHIFKJM3XNTKR7TEP5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY","cs.PF"],"primary_cat":"cs.LG","authors_text":"Anuj K. Nayak, Austin R. Ellis-Mohr, Lav R. Varshney","submitted_at":"2025-06-10T14:47:48Z","abstract_excerpt":"Large language models (LLMs) demand considerable computational, energy, and financial resources during both training and deployment. While scaling laws for training have guided much of the field's recent progress, inference costs now represent a significant and growing component of the overall resource burden, particularly for reasoning-focused models. Existing characterizations of compute-optimality that consider model size, dataset size, and inference tokens in isolation or in fixed combinations risk overlooking more efficient operating points. We introduce directed stochastic skill search ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00004","kind":"arxiv","version":2},"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/2507.00004/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":"2026-07-05T11:34:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XADivkfXD43Gdat0Qc3SHXbaz89BRFKd33UOE+/3lgEX2HM0WZYSNUoSHQHTqQ9d1AO6TkUF6FlsvVY13U2xDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:48:00.669785Z"},"content_sha256":"3b903435edccef3e25cbb25517c8108b76b1c7d9d40f6b30e2ba50ba6fb9d6e1","schema_version":"1.0","event_id":"sha256:3b903435edccef3e25cbb25517c8108b76b1c7d9d40f6b30e2ba50ba6fb9d6e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S6ECUKFYDHIFKJM3XNTKR7TEP5/bundle.json","state_url":"https://pith.science/pith/S6ECUKFYDHIFKJM3XNTKR7TEP5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S6ECUKFYDHIFKJM3XNTKR7TEP5/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":"2026-08-08T20:48:00Z","links":{"resolver":"https://pith.science/pith/S6ECUKFYDHIFKJM3XNTKR7TEP5","bundle":"https://pith.science/pith/S6ECUKFYDHIFKJM3XNTKR7TEP5/bundle.json","state":"https://pith.science/pith/S6ECUKFYDHIFKJM3XNTKR7TEP5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S6ECUKFYDHIFKJM3XNTKR7TEP5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:S6ECUKFYDHIFKJM3XNTKR7TEP5","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":"812d239716a5792ff6b92cc1c20d2bd6933fca6465bc5c02600e69092cdddda3","cross_cats_sorted":["cs.AI","cs.CY","cs.PF"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-10T14:47:48Z","title_canon_sha256":"b17027c111447da455fd41c0cc99662baa15f882b77519e371ca20d98832f8f3"},"schema_version":"1.0","source":{"id":"2507.00004","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00004","created_at":"2026-07-05T11:34:52Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00004v2","created_at":"2026-07-05T11:34:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00004","created_at":"2026-07-05T11:34:52Z"},{"alias_kind":"pith_short_12","alias_value":"S6ECUKFYDHIF","created_at":"2026-07-05T11:34:52Z"},{"alias_kind":"pith_short_16","alias_value":"S6ECUKFYDHIFKJM3","created_at":"2026-07-05T11:34:52Z"},{"alias_kind":"pith_short_8","alias_value":"S6ECUKFY","created_at":"2026-07-05T11:34:52Z"}],"graph_snapshots":[{"event_id":"sha256:3b903435edccef3e25cbb25517c8108b76b1c7d9d40f6b30e2ba50ba6fb9d6e1","target":"graph","created_at":"2026-07-05T11:34:52Z","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/2507.00004/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) demand considerable computational, energy, and financial resources during both training and deployment. While scaling laws for training have guided much of the field's recent progress, inference costs now represent a significant and growing component of the overall resource burden, particularly for reasoning-focused models. Existing characterizations of compute-optimality that consider model size, dataset size, and inference tokens in isolation or in fixed combinations risk overlooking more efficient operating points. We introduce directed stochastic skill search (","authors_text":"Anuj K. Nayak, Austin R. Ellis-Mohr, Lav R. Varshney","cross_cats":["cs.AI","cs.CY","cs.PF"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-10T14:47:48Z","title":"A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00004","kind":"arxiv","version":2},"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":"sha256:4f64d473a66319f8fa48a6631b45ba8136deae1e5db0cab76d5b8189b74cfea7","target":"record","created_at":"2026-07-05T11:34:52Z","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":"812d239716a5792ff6b92cc1c20d2bd6933fca6465bc5c02600e69092cdddda3","cross_cats_sorted":["cs.AI","cs.CY","cs.PF"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-10T14:47:48Z","title_canon_sha256":"b17027c111447da455fd41c0cc99662baa15f882b77519e371ca20d98832f8f3"},"schema_version":"1.0","source":{"id":"2507.00004","kind":"arxiv","version":2}},"canonical_sha256":"97882a28b819d055259bbb66a8fe647f42463c76581bc475ea91a299c2b7ce0f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97882a28b819d055259bbb66a8fe647f42463c76581bc475ea91a299c2b7ce0f","first_computed_at":"2026-07-05T11:34:52.764049Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:52.764049Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0bq1wR+lsg4jWilnQjEIAmMRwuZf50GO+Z4alnqnN+J3zkfP9mPU9kFUH22FlW6DTRURfDhflUj9VVCCyq1bAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:52.764559Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.00004","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f64d473a66319f8fa48a6631b45ba8136deae1e5db0cab76d5b8189b74cfea7","sha256:3b903435edccef3e25cbb25517c8108b76b1c7d9d40f6b30e2ba50ba6fb9d6e1"],"state_sha256":"bd5a072af056ace3d48e6a60c987b362dbd5b2ea827c0a20a5775e6087acace1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dZGpF+KKioaSdpQ6j00ybXgBnI07fDEbT4mJhYOlbjQqCe2zO/gwjJcH6bsQLHWFIHd+GiuumUAXq+uhScF7Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T20:48:00.673791Z","bundle_sha256":"bff2953088f53fc47f353a44ebb39e554016e4b8233cf8f371b141be106a4d15"}}