{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:OBITEWPFGPM44NKAFHWTZYHEUL","short_pith_number":"pith:OBITEWPF","canonical_record":{"source":{"id":"1207.5589","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-07-24T04:55:02Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7b07a7ffcd2f6c54089c446dc23d29c72bb251f3191cdbaa7485eaa7aa2d9909","abstract_canon_sha256":"b79a967d09744575ce503c878f802e9679120fdfc309318cc0e320f4d5f64008"},"schema_version":"1.0"},"canonical_sha256":"70513259e533d9ce354029ed3ce0e4a2e11733aff5977d240c2ca59a3f461a4f","source":{"kind":"arxiv","id":"1207.5589","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1207.5589","created_at":"2026-05-18T03:50:22Z"},{"alias_kind":"arxiv_version","alias_value":"1207.5589v1","created_at":"2026-05-18T03:50:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1207.5589","created_at":"2026-05-18T03:50:22Z"},{"alias_kind":"pith_short_12","alias_value":"OBITEWPFGPM4","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_16","alias_value":"OBITEWPFGPM44NKA","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_8","alias_value":"OBITEWPF","created_at":"2026-05-18T12:27:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:OBITEWPFGPM44NKAFHWTZYHEUL","target":"record","payload":{"canonical_record":{"source":{"id":"1207.5589","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-07-24T04:55:02Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7b07a7ffcd2f6c54089c446dc23d29c72bb251f3191cdbaa7485eaa7aa2d9909","abstract_canon_sha256":"b79a967d09744575ce503c878f802e9679120fdfc309318cc0e320f4d5f64008"},"schema_version":"1.0"},"canonical_sha256":"70513259e533d9ce354029ed3ce0e4a2e11733aff5977d240c2ca59a3f461a4f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:50:22.499171Z","signature_b64":"vFCBygKIAEsh7F2LzujiKXa0WNQggWzUgyf0QXAMjmi2Y5j4SvTPfKfjWAdNyowZPyKf51TrsDCyaaYjKrt8Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"70513259e533d9ce354029ed3ce0e4a2e11733aff5977d240c2ca59a3f461a4f","last_reissued_at":"2026-05-18T03:50:22.498507Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:50:22.498507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1207.5589","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":"2026-05-18T03:50:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hvsCuOaFRo2KHwL+3p+huAs9ecR/aNkpNpWuXhHB/Khs7cvYiLUPyDw2C7LpMgGVWgicaFEaHjYdigeIEjfGBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T05:21:13.523064Z"},"content_sha256":"97af0f12d58bc9974ca3e9c45e53e1a3395a78298396b8d328fdfe5e727f6522","schema_version":"1.0","event_id":"sha256:97af0f12d58bc9974ca3e9c45e53e1a3395a78298396b8d328fdfe5e727f6522"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:OBITEWPFGPM44NKAFHWTZYHEUL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VOI-aware MCTS","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"David Tolpin, Solomon Eyal Shimony","submitted_at":"2012-07-24T04:55:02Z","abstract_excerpt":"UCT, a state-of-the art algorithm for Monte Carlo tree search (MCTS) in games and Markov decision processes, is based on UCB1, a sampling policy for the Multi-armed Bandit problem (MAB) that minimizes the cumulative regret. However, search differs from MAB in that in MCTS it is usually only the final \"arm pull\" (the actual move selection) that collects a reward, rather than all \"arm pulls\". In this paper, an MCTS sampling policy based on Value of Information (VOI) estimates of rollouts is suggested. Empirical evaluation of the policy and comparison to UCB1 and UCT is performed on random MAB in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.5589","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":""},"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":"2026-05-18T03:50:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RR/N8a5mjEdLSgPNO8kpHn2w3Z5ugbR+KchR8IWtfU1nhZZvBFoPKDRltXitDjAdfBQRkj33blD6ZToYVygmBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T05:21:13.523691Z"},"content_sha256":"9330c1a91147afbe74783f37a1cdf5e30506642a3a13c1b808503290bcc779d8","schema_version":"1.0","event_id":"sha256:9330c1a91147afbe74783f37a1cdf5e30506642a3a13c1b808503290bcc779d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OBITEWPFGPM44NKAFHWTZYHEUL/bundle.json","state_url":"https://pith.science/pith/OBITEWPFGPM44NKAFHWTZYHEUL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OBITEWPFGPM44NKAFHWTZYHEUL/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":"2026-05-19T05:21:13Z","links":{"resolver":"https://pith.science/pith/OBITEWPFGPM44NKAFHWTZYHEUL","bundle":"https://pith.science/pith/OBITEWPFGPM44NKAFHWTZYHEUL/bundle.json","state":"https://pith.science/pith/OBITEWPFGPM44NKAFHWTZYHEUL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OBITEWPFGPM44NKAFHWTZYHEUL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:OBITEWPFGPM44NKAFHWTZYHEUL","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":"b79a967d09744575ce503c878f802e9679120fdfc309318cc0e320f4d5f64008","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-07-24T04:55:02Z","title_canon_sha256":"7b07a7ffcd2f6c54089c446dc23d29c72bb251f3191cdbaa7485eaa7aa2d9909"},"schema_version":"1.0","source":{"id":"1207.5589","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1207.5589","created_at":"2026-05-18T03:50:22Z"},{"alias_kind":"arxiv_version","alias_value":"1207.5589v1","created_at":"2026-05-18T03:50:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1207.5589","created_at":"2026-05-18T03:50:22Z"},{"alias_kind":"pith_short_12","alias_value":"OBITEWPFGPM4","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_16","alias_value":"OBITEWPFGPM44NKA","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_8","alias_value":"OBITEWPF","created_at":"2026-05-18T12:27:16Z"}],"graph_snapshots":[{"event_id":"sha256:9330c1a91147afbe74783f37a1cdf5e30506642a3a13c1b808503290bcc779d8","target":"graph","created_at":"2026-05-18T03:50:22Z","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"},"paper":{"abstract_excerpt":"UCT, a state-of-the art algorithm for Monte Carlo tree search (MCTS) in games and Markov decision processes, is based on UCB1, a sampling policy for the Multi-armed Bandit problem (MAB) that minimizes the cumulative regret. However, search differs from MAB in that in MCTS it is usually only the final \"arm pull\" (the actual move selection) that collects a reward, rather than all \"arm pulls\". In this paper, an MCTS sampling policy based on Value of Information (VOI) estimates of rollouts is suggested. Empirical evaluation of the policy and comparison to UCB1 and UCT is performed on random MAB in","authors_text":"David Tolpin, Solomon Eyal Shimony","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-07-24T04:55:02Z","title":"VOI-aware MCTS"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.5589","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":"sha256:97af0f12d58bc9974ca3e9c45e53e1a3395a78298396b8d328fdfe5e727f6522","target":"record","created_at":"2026-05-18T03:50:22Z","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":"b79a967d09744575ce503c878f802e9679120fdfc309318cc0e320f4d5f64008","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-07-24T04:55:02Z","title_canon_sha256":"7b07a7ffcd2f6c54089c446dc23d29c72bb251f3191cdbaa7485eaa7aa2d9909"},"schema_version":"1.0","source":{"id":"1207.5589","kind":"arxiv","version":1}},"canonical_sha256":"70513259e533d9ce354029ed3ce0e4a2e11733aff5977d240c2ca59a3f461a4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"70513259e533d9ce354029ed3ce0e4a2e11733aff5977d240c2ca59a3f461a4f","first_computed_at":"2026-05-18T03:50:22.498507Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:50:22.498507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vFCBygKIAEsh7F2LzujiKXa0WNQggWzUgyf0QXAMjmi2Y5j4SvTPfKfjWAdNyowZPyKf51TrsDCyaaYjKrt8Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:50:22.499171Z","signed_message":"canonical_sha256_bytes"},"source_id":"1207.5589","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97af0f12d58bc9974ca3e9c45e53e1a3395a78298396b8d328fdfe5e727f6522","sha256:9330c1a91147afbe74783f37a1cdf5e30506642a3a13c1b808503290bcc779d8"],"state_sha256":"b50de012fe12f86b130725b978c3ec97e1dbf14a9459d1c1c2c59d7e4f997c1e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C5eCePa4yETgy4qEaoI5LFLNkjYiR6Vh59MOicCwZmWgR3PVzh+YuswyLP2WM/cezo5IH76KvDJQRJ3FoSxdDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T05:21:13.525638Z","bundle_sha256":"1ab699cb29a2507b1c8041e031b064ce82ace1f3cdf75163a5a3654edf8e3e7d"}}