{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:SKJR2AXVPBGKS747JY4M2JPXQB","short_pith_number":"pith:SKJR2AXV","canonical_record":{"source":{"id":"2003.13590","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-03-30T16:18:16Z","cross_cats_sorted":[],"title_canon_sha256":"8406fa3de6c99722316040819b046a3d178491db6c788e25b85440dbd3865921","abstract_canon_sha256":"2562038ca2c677d814af53a57950dd1b8b50023d73df5ac1a9ad1073684b3d3f"},"schema_version":"1.0"},"canonical_sha256":"92931d02f5784ca97f9f4e38cd25f7804eeabaf97265174c0555a79fd8a2e1c7","source":{"kind":"arxiv","id":"2003.13590","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.13590","created_at":"2026-07-05T00:51:54Z"},{"alias_kind":"arxiv_version","alias_value":"2003.13590v2","created_at":"2026-07-05T00:51:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.13590","created_at":"2026-07-05T00:51:54Z"},{"alias_kind":"pith_short_12","alias_value":"SKJR2AXVPBGK","created_at":"2026-07-05T00:51:54Z"},{"alias_kind":"pith_short_16","alias_value":"SKJR2AXVPBGKS747","created_at":"2026-07-05T00:51:54Z"},{"alias_kind":"pith_short_8","alias_value":"SKJR2AXV","created_at":"2026-07-05T00:51:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:SKJR2AXVPBGKS747JY4M2JPXQB","target":"record","payload":{"canonical_record":{"source":{"id":"2003.13590","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-03-30T16:18:16Z","cross_cats_sorted":[],"title_canon_sha256":"8406fa3de6c99722316040819b046a3d178491db6c788e25b85440dbd3865921","abstract_canon_sha256":"2562038ca2c677d814af53a57950dd1b8b50023d73df5ac1a9ad1073684b3d3f"},"schema_version":"1.0"},"canonical_sha256":"92931d02f5784ca97f9f4e38cd25f7804eeabaf97265174c0555a79fd8a2e1c7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:51:54.857430Z","signature_b64":"RE1Et7pc3r/pnxm5M1jE7lCi65Fg5Npo78+JeJPsNYnT6Onl4A5pshhaZpRQcxj1mkFWLjZAozH+NfBa515GAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92931d02f5784ca97f9f4e38cd25f7804eeabaf97265174c0555a79fd8a2e1c7","last_reissued_at":"2026-07-05T00:51:54.856943Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:51:54.856943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.13590","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":"2026-07-05T00:51:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wGjwMXO8/zak+mH75ureuYXeYinbNDNWl9U1i9XxA1VLX4st2rx1w2PAktNb9+OHeBRLiDq72WoTHA4BxVjcAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:19:43.179750Z"},"content_sha256":"e30de34684eb1d6b2b659af1fcb0b5b1f2b561263cf1e302afd3a4897cb87866","schema_version":"1.0","event_id":"sha256:e30de34684eb1d6b2b659af1fcb0b5b1f2b561263cf1e302afd3a4897cb87866"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:SKJR2AXVPBGKS747JY4M2JPXQB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Suphx: Mastering Mahjong with Deep Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chao Wang, Guoqing Liu, Hsiao-Wuen Hon, Junjie Li, Li Zhao, Qiwei Ye, Ruihan Yang, Sotetsu Koyamada, Tao Qin, Tie-Yan Liu","submitted_at":"2020-03-30T16:18:16Z","abstract_excerpt":"Artificial Intelligence (AI) has achieved great success in many domains, and game AI is widely regarded as its beachhead since the dawn of AI. In recent years, studies on game AI have gradually evolved from relatively simple environments (e.g., perfect-information games such as Go, chess, shogi or two-player imperfect-information games such as heads-up Texas hold'em) to more complex ones (e.g., multi-player imperfect-information games such as multi-player Texas hold'em and StartCraft II). Mahjong is a popular multi-player imperfect-information game worldwide but very challenging for AI researc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.13590","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/2003.13590/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":"2026-07-05T00:51:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N8n1AwMCWn7PtLZ3PV5T9yHeRiNeu/TRKWSrQZ03aR0lPpHux2ZJRDcHWeA5ZK4/aj16Ug9KUFX6JjlV1Y2tCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:19:43.180118Z"},"content_sha256":"d59f30ecc2c6a90d886101ef2dc533683cc8673287d7e9f2909153daf962cc0d","schema_version":"1.0","event_id":"sha256:d59f30ecc2c6a90d886101ef2dc533683cc8673287d7e9f2909153daf962cc0d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SKJR2AXVPBGKS747JY4M2JPXQB/bundle.json","state_url":"https://pith.science/pith/SKJR2AXVPBGKS747JY4M2JPXQB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SKJR2AXVPBGKS747JY4M2JPXQB/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":"2026-07-07T08:19:43Z","links":{"resolver":"https://pith.science/pith/SKJR2AXVPBGKS747JY4M2JPXQB","bundle":"https://pith.science/pith/SKJR2AXVPBGKS747JY4M2JPXQB/bundle.json","state":"https://pith.science/pith/SKJR2AXVPBGKS747JY4M2JPXQB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SKJR2AXVPBGKS747JY4M2JPXQB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SKJR2AXVPBGKS747JY4M2JPXQB","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":"2562038ca2c677d814af53a57950dd1b8b50023d73df5ac1a9ad1073684b3d3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-03-30T16:18:16Z","title_canon_sha256":"8406fa3de6c99722316040819b046a3d178491db6c788e25b85440dbd3865921"},"schema_version":"1.0","source":{"id":"2003.13590","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.13590","created_at":"2026-07-05T00:51:54Z"},{"alias_kind":"arxiv_version","alias_value":"2003.13590v2","created_at":"2026-07-05T00:51:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.13590","created_at":"2026-07-05T00:51:54Z"},{"alias_kind":"pith_short_12","alias_value":"SKJR2AXVPBGK","created_at":"2026-07-05T00:51:54Z"},{"alias_kind":"pith_short_16","alias_value":"SKJR2AXVPBGKS747","created_at":"2026-07-05T00:51:54Z"},{"alias_kind":"pith_short_8","alias_value":"SKJR2AXV","created_at":"2026-07-05T00:51:54Z"}],"graph_snapshots":[{"event_id":"sha256:d59f30ecc2c6a90d886101ef2dc533683cc8673287d7e9f2909153daf962cc0d","target":"graph","created_at":"2026-07-05T00:51:54Z","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/2003.13590/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial Intelligence (AI) has achieved great success in many domains, and game AI is widely regarded as its beachhead since the dawn of AI. In recent years, studies on game AI have gradually evolved from relatively simple environments (e.g., perfect-information games such as Go, chess, shogi or two-player imperfect-information games such as heads-up Texas hold'em) to more complex ones (e.g., multi-player imperfect-information games such as multi-player Texas hold'em and StartCraft II). Mahjong is a popular multi-player imperfect-information game worldwide but very challenging for AI researc","authors_text":"Chao Wang, Guoqing Liu, Hsiao-Wuen Hon, Junjie Li, Li Zhao, Qiwei Ye, Ruihan Yang, Sotetsu Koyamada, Tao Qin, Tie-Yan Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-03-30T16:18:16Z","title":"Suphx: Mastering Mahjong with Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.13590","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:e30de34684eb1d6b2b659af1fcb0b5b1f2b561263cf1e302afd3a4897cb87866","target":"record","created_at":"2026-07-05T00:51:54Z","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":"2562038ca2c677d814af53a57950dd1b8b50023d73df5ac1a9ad1073684b3d3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-03-30T16:18:16Z","title_canon_sha256":"8406fa3de6c99722316040819b046a3d178491db6c788e25b85440dbd3865921"},"schema_version":"1.0","source":{"id":"2003.13590","kind":"arxiv","version":2}},"canonical_sha256":"92931d02f5784ca97f9f4e38cd25f7804eeabaf97265174c0555a79fd8a2e1c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92931d02f5784ca97f9f4e38cd25f7804eeabaf97265174c0555a79fd8a2e1c7","first_computed_at":"2026-07-05T00:51:54.856943Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:51:54.856943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RE1Et7pc3r/pnxm5M1jE7lCi65Fg5Npo78+JeJPsNYnT6Onl4A5pshhaZpRQcxj1mkFWLjZAozH+NfBa515GAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:51:54.857430Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.13590","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e30de34684eb1d6b2b659af1fcb0b5b1f2b561263cf1e302afd3a4897cb87866","sha256:d59f30ecc2c6a90d886101ef2dc533683cc8673287d7e9f2909153daf962cc0d"],"state_sha256":"af10b29c71d688eb3caaea15cf034cb1aa969a65f32e946314b593bf70b47d1a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SKS67pF8++rIptjpwAWZ/YkG9rFLQiBouyHNNv/NpMAyeBIDHwoWdvori1AD+bdsCX7C5AcAkii+YavYZvnKBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:19:43.182129Z","bundle_sha256":"c0f37fec8d399dc8dc911ec744c99f2087458ff8fdb9d696e2e2994862b76544"}}