{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:Z4ZLOT73FU3MGH2HOEPCH34RS5","short_pith_number":"pith:Z4ZLOT73","schema_version":"1.0","canonical_sha256":"cf32b74ffb2d36c31f47711e23ef919757f7ada2eb2fc9964bf90e2172d07ba9","source":{"kind":"arxiv","id":"2104.00698","version":1},"attestation_state":"computed","paper":{"title":"Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anssi Kanervisto, Brendan Bennett, Dylan Ashley","submitted_at":"2021-04-01T18:08:55Z","abstract_excerpt":"We present AlphaChute: a state-of-the-art algorithm that achieves superhuman performance in the ancient game of Chutes and Ladders. We prove that our algorithm converges to the Nash equilibrium in constant time, and therefore is -- to the best of our knowledge -- the first such formal solution to this game. Surprisingly, despite all this, our implementation of AlphaChute remains relatively straightforward due to domain-specific adaptations. We provide the source code for AlphaChute here in our Appendix."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2104.00698","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-04-01T18:08:55Z","cross_cats_sorted":[],"title_canon_sha256":"45562790201dcbf3d5f21909783ab5f4b94f731beb2c8373cb087daa5358a804","abstract_canon_sha256":"2c1ec40db5f0260d7ac6602e5336ac3e9d8d999e4bc77d376e7c5cc302e90b3d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:28:35.029748Z","signature_b64":"y89LvsyE044nr9ynLHYn18lLXdniZtCqL0gPBd8NrJ4Hu8bHFE5sDERsZrOJ/tFOuognpzPowQZBJT9d1zlzAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf32b74ffb2d36c31f47711e23ef919757f7ada2eb2fc9964bf90e2172d07ba9","last_reissued_at":"2026-07-05T02:28:35.029353Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:28:35.029353Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anssi Kanervisto, Brendan Bennett, Dylan Ashley","submitted_at":"2021-04-01T18:08:55Z","abstract_excerpt":"We present AlphaChute: a state-of-the-art algorithm that achieves superhuman performance in the ancient game of Chutes and Ladders. We prove that our algorithm converges to the Nash equilibrium in constant time, and therefore is -- to the best of our knowledge -- the first such formal solution to this game. Surprisingly, despite all this, our implementation of AlphaChute remains relatively straightforward due to domain-specific adaptations. We provide the source code for AlphaChute here in our Appendix."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.00698","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/2104.00698/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2104.00698","created_at":"2026-07-05T02:28:35.029410+00:00"},{"alias_kind":"arxiv_version","alias_value":"2104.00698v1","created_at":"2026-07-05T02:28:35.029410+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.00698","created_at":"2026-07-05T02:28:35.029410+00:00"},{"alias_kind":"pith_short_12","alias_value":"Z4ZLOT73FU3M","created_at":"2026-07-05T02:28:35.029410+00:00"},{"alias_kind":"pith_short_16","alias_value":"Z4ZLOT73FU3MGH2H","created_at":"2026-07-05T02:28:35.029410+00:00"},{"alias_kind":"pith_short_8","alias_value":"Z4ZLOT73","created_at":"2026-07-05T02:28:35.029410+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Z4ZLOT73FU3MGH2HOEPCH34RS5","json":"https://pith.science/pith/Z4ZLOT73FU3MGH2HOEPCH34RS5.json","graph_json":"https://pith.science/api/pith-number/Z4ZLOT73FU3MGH2HOEPCH34RS5/graph.json","events_json":"https://pith.science/api/pith-number/Z4ZLOT73FU3MGH2HOEPCH34RS5/events.json","paper":"https://pith.science/paper/Z4ZLOT73"},"agent_actions":{"view_html":"https://pith.science/pith/Z4ZLOT73FU3MGH2HOEPCH34RS5","download_json":"https://pith.science/pith/Z4ZLOT73FU3MGH2HOEPCH34RS5.json","view_paper":"https://pith.science/paper/Z4ZLOT73","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2104.00698&json=true","fetch_graph":"https://pith.science/api/pith-number/Z4ZLOT73FU3MGH2HOEPCH34RS5/graph.json","fetch_events":"https://pith.science/api/pith-number/Z4ZLOT73FU3MGH2HOEPCH34RS5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Z4ZLOT73FU3MGH2HOEPCH34RS5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Z4ZLOT73FU3MGH2HOEPCH34RS5/action/storage_attestation","attest_author":"https://pith.science/pith/Z4ZLOT73FU3MGH2HOEPCH34RS5/action/author_attestation","sign_citation":"https://pith.science/pith/Z4ZLOT73FU3MGH2HOEPCH34RS5/action/citation_signature","submit_replication":"https://pith.science/pith/Z4ZLOT73FU3MGH2HOEPCH34RS5/action/replication_record"}},"created_at":"2026-07-05T02:28:35.029410+00:00","updated_at":"2026-07-05T02:28:35.029410+00:00"}