{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WFBRTRZPLZW2MNP4OCI62AI2NY","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":"bb220fb27f4fd8a566bf324544e821442cfc9bebe8d2c0b2d24e1f3211429397","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-03-21T10:26:47Z","title_canon_sha256":"4c1284565b2f3e3edc37071e4e899cdf98fb1ebd0c320466c9990161e1cfca56"},"schema_version":"1.0","source":{"id":"2403.14273","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.14273","created_at":"2026-07-05T07:59:06Z"},{"alias_kind":"arxiv_version","alias_value":"2403.14273v1","created_at":"2026-07-05T07:59:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.14273","created_at":"2026-07-05T07:59:06Z"},{"alias_kind":"pith_short_12","alias_value":"WFBRTRZPLZW2","created_at":"2026-07-05T07:59:06Z"},{"alias_kind":"pith_short_16","alias_value":"WFBRTRZPLZW2MNP4","created_at":"2026-07-05T07:59:06Z"},{"alias_kind":"pith_short_8","alias_value":"WFBRTRZP","created_at":"2026-07-05T07:59:06Z"}],"graph_snapshots":[{"event_id":"sha256:cae4bdca4b2e9e8e5afcb28149577b1de97d0a3c7058d2c5a98f7718ca3ac9c0","target":"graph","created_at":"2026-07-05T07:59:06Z","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/2403.14273/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neutronic calculations for reactors are a daunting task when using Monte Carlo (MC) methods. As high-performance computing has advanced, the simulation of a reactor is nowadays more readily done, but design and optimization with multiple parameters is still a computational challenge. MC transport simulations, coupled with machine learning techniques, offer promising avenues for enhancing the efficiency and effectiveness of nuclear reactor optimization. This paper introduces a novel benchmark problem within the OpenNeoMC framework designed specifically for reinforcement learning. The benchmark ","authors_text":"Deborah Schwarcz, Gal Oren, Nadav Schneider, Uri Steinitz","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-03-21T10:26:47Z","title":"Reactor Optimization Benchmark by Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.14273","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":"sha256:2b0355a32da91db845b6aea2a5f5bc79ac5aa0ec1f3ce6f915311536af29cdbc","target":"record","created_at":"2026-07-05T07:59:06Z","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":"bb220fb27f4fd8a566bf324544e821442cfc9bebe8d2c0b2d24e1f3211429397","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-03-21T10:26:47Z","title_canon_sha256":"4c1284565b2f3e3edc37071e4e899cdf98fb1ebd0c320466c9990161e1cfca56"},"schema_version":"1.0","source":{"id":"2403.14273","kind":"arxiv","version":1}},"canonical_sha256":"b14319c72f5e6da635fc7091ed011a6e3efd11632a87f527f01604ef7d002a00","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b14319c72f5e6da635fc7091ed011a6e3efd11632a87f527f01604ef7d002a00","first_computed_at":"2026-07-05T07:59:06.484949Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:06.484949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"omCVz8xm3bFG6cGb3xBGxGt9K/rdgnA8kEBwPAqfsJZOZAELrZll9SIu4thjSdcHjDu25RcoXSMMhF/E3yEVDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:06.485291Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.14273","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b0355a32da91db845b6aea2a5f5bc79ac5aa0ec1f3ce6f915311536af29cdbc","sha256:cae4bdca4b2e9e8e5afcb28149577b1de97d0a3c7058d2c5a98f7718ca3ac9c0"],"state_sha256":"abc56b94111d2cf5afdb9c445206298601b0b4c68c9c2c1c17c1583e6ded52b7"}