{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:4NZFMGQ7U2ZXFQHTCI2A32DT5M","short_pith_number":"pith:4NZFMGQ7","canonical_record":{"source":{"id":"1708.04782","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-08-16T06:20:52Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f096c96be246fa790681614dd4f40552d3b452b7c4dc259ce6e904d933d841d8","abstract_canon_sha256":"6d368906bb57f708cc2244c29d2f3d9d6839fc70138530f1d297505e0aef7dd1"},"schema_version":"1.0"},"canonical_sha256":"e372561a1fa6b372c0f312340de873eb30bd2d752e0ccb18445ea80540fa956d","source":{"kind":"arxiv","id":"1708.04782","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.04782","created_at":"2026-05-18T00:37:57Z"},{"alias_kind":"arxiv_version","alias_value":"1708.04782v1","created_at":"2026-05-18T00:37:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.04782","created_at":"2026-05-18T00:37:57Z"},{"alias_kind":"pith_short_12","alias_value":"4NZFMGQ7U2ZX","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4NZFMGQ7U2ZXFQHT","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4NZFMGQ7","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:4NZFMGQ7U2ZXFQHTCI2A32DT5M","target":"record","payload":{"canonical_record":{"source":{"id":"1708.04782","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-08-16T06:20:52Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f096c96be246fa790681614dd4f40552d3b452b7c4dc259ce6e904d933d841d8","abstract_canon_sha256":"6d368906bb57f708cc2244c29d2f3d9d6839fc70138530f1d297505e0aef7dd1"},"schema_version":"1.0"},"canonical_sha256":"e372561a1fa6b372c0f312340de873eb30bd2d752e0ccb18445ea80540fa956d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:37:57.915364Z","signature_b64":"G40CJjqESBrHUYFQBX0z2QPuU7p2ZfmQ4w0qKIMYRQJDSQrb0IApjSTNryfEtw7vQ68YSCcehWqeiKP1uX+LBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e372561a1fa6b372c0f312340de873eb30bd2d752e0ccb18445ea80540fa956d","last_reissued_at":"2026-05-18T00:37:57.914812Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:37:57.914812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.04782","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":"2026-05-18T00:37:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eLQADt0C5UqoMRK3emIn4VLqoyR9OToLruyMSSW1foHPik5VHQzzOMWXbrZlQEk1YJHCtUjg55JJxuVTqqrBAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T04:31:50.496143Z"},"content_sha256":"3f69c2df7fcd6fe79887c124dbd6a75e45849db755ac90e98251e40e2e204d30","schema_version":"1.0","event_id":"sha256:3f69c2df7fcd6fe79887c124dbd6a75e45849db755ac90e98251e40e2e204d30"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:4NZFMGQ7U2ZXFQHTCI2A32DT5M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StarCraft II: A New Challenge for Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Alexander Sasha Vezhnevets, Alireza Makhzani, Anders Ekermo, Anthony Brunasso, David Lawrence, David Silver, Hado van Hasselt, Heinrich K\\\"uttler, Jacob Repp, John Agapiou, John Quan, Julian Schrittwieser, Karen Simonyan, Kevin Calderone, Michelle Yeo, Oriol Vinyals, Paul Keet, Petko Georgiev, Rodney Tsing, Sergey Bartunov, Stephen Gaffney, Stig Petersen, Timo Ewalds, Timothy Lillicrap, Tom Schaul","submitted_at":"2017-08-16T06:20:52Z","abstract_excerpt":"This paper introduces SC2LE (StarCraft II Learning Environment), a reinforcement learning environment based on the StarCraft II game. This domain poses a new grand challenge for reinforcement learning, representing a more difficult class of problems than considered in most prior work. It is a multi-agent problem with multiple players interacting; there is imperfect information due to a partially observed map; it has a large action space involving the selection and control of hundreds of units; it has a large state space that must be observed solely from raw input feature planes; and it has del"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.04782","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":"2026-05-18T00:37:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1yKHCgvGL3CV6J5D/79l1LraH5l5iOY4FdPrb7dok3GYaD2GRycG2vIye3+62joFLojap3hHl3jKISDuO25ZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T04:31:50.496644Z"},"content_sha256":"f6fbef79de5118e883a70f698b16e139005cf5bab937a18d322b441555e30a7e","schema_version":"1.0","event_id":"sha256:f6fbef79de5118e883a70f698b16e139005cf5bab937a18d322b441555e30a7e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4NZFMGQ7U2ZXFQHTCI2A32DT5M/bundle.json","state_url":"https://pith.science/pith/4NZFMGQ7U2ZXFQHTCI2A32DT5M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4NZFMGQ7U2ZXFQHTCI2A32DT5M/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":"2026-05-26T04:31:50Z","links":{"resolver":"https://pith.science/pith/4NZFMGQ7U2ZXFQHTCI2A32DT5M","bundle":"https://pith.science/pith/4NZFMGQ7U2ZXFQHTCI2A32DT5M/bundle.json","state":"https://pith.science/pith/4NZFMGQ7U2ZXFQHTCI2A32DT5M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4NZFMGQ7U2ZXFQHTCI2A32DT5M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4NZFMGQ7U2ZXFQHTCI2A32DT5M","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":"6d368906bb57f708cc2244c29d2f3d9d6839fc70138530f1d297505e0aef7dd1","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-08-16T06:20:52Z","title_canon_sha256":"f096c96be246fa790681614dd4f40552d3b452b7c4dc259ce6e904d933d841d8"},"schema_version":"1.0","source":{"id":"1708.04782","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.04782","created_at":"2026-05-18T00:37:57Z"},{"alias_kind":"arxiv_version","alias_value":"1708.04782v1","created_at":"2026-05-18T00:37:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.04782","created_at":"2026-05-18T00:37:57Z"},{"alias_kind":"pith_short_12","alias_value":"4NZFMGQ7U2ZX","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4NZFMGQ7U2ZXFQHT","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4NZFMGQ7","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:f6fbef79de5118e883a70f698b16e139005cf5bab937a18d322b441555e30a7e","target":"graph","created_at":"2026-05-18T00:37:57Z","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":"This paper introduces SC2LE (StarCraft II Learning Environment), a reinforcement learning environment based on the StarCraft II game. This domain poses a new grand challenge for reinforcement learning, representing a more difficult class of problems than considered in most prior work. It is a multi-agent problem with multiple players interacting; there is imperfect information due to a partially observed map; it has a large action space involving the selection and control of hundreds of units; it has a large state space that must be observed solely from raw input feature planes; and it has del","authors_text":"Alexander Sasha Vezhnevets, Alireza Makhzani, Anders Ekermo, Anthony Brunasso, David Lawrence, David Silver, Hado van Hasselt, Heinrich K\\\"uttler, Jacob Repp, John Agapiou, John Quan, Julian Schrittwieser, Karen Simonyan, Kevin Calderone, Michelle Yeo, Oriol Vinyals, Paul Keet, Petko Georgiev, Rodney Tsing, Sergey Bartunov, Stephen Gaffney, Stig Petersen, Timo Ewalds, Timothy Lillicrap, Tom Schaul","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-08-16T06:20:52Z","title":"StarCraft II: A New Challenge for Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.04782","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":"sha256:3f69c2df7fcd6fe79887c124dbd6a75e45849db755ac90e98251e40e2e204d30","target":"record","created_at":"2026-05-18T00:37:57Z","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":"6d368906bb57f708cc2244c29d2f3d9d6839fc70138530f1d297505e0aef7dd1","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-08-16T06:20:52Z","title_canon_sha256":"f096c96be246fa790681614dd4f40552d3b452b7c4dc259ce6e904d933d841d8"},"schema_version":"1.0","source":{"id":"1708.04782","kind":"arxiv","version":1}},"canonical_sha256":"e372561a1fa6b372c0f312340de873eb30bd2d752e0ccb18445ea80540fa956d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e372561a1fa6b372c0f312340de873eb30bd2d752e0ccb18445ea80540fa956d","first_computed_at":"2026-05-18T00:37:57.914812Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:37:57.914812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G40CJjqESBrHUYFQBX0z2QPuU7p2ZfmQ4w0qKIMYRQJDSQrb0IApjSTNryfEtw7vQ68YSCcehWqeiKP1uX+LBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:37:57.915364Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.04782","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f69c2df7fcd6fe79887c124dbd6a75e45849db755ac90e98251e40e2e204d30","sha256:f6fbef79de5118e883a70f698b16e139005cf5bab937a18d322b441555e30a7e"],"state_sha256":"6f087e68da50eb12d11701295e369ecb7ca86751ead84e4d05d2c7466be03750"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ce9dMDL8KBUioGS8iC9rh+B94q6vhGR04qnSZ5n4e99rWRM7xtK2R5BHaLIo+x1uVIpWqmVFzsulcxhe9jT4BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T04:31:50.499417Z","bundle_sha256":"5576c9bfc1833bec8a0858063245a05653cc0891f230c3c92a809cff883d9fed"}}