{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:NPKJTQT2E7CJHMDB4Y4B7I3PB3","short_pith_number":"pith:NPKJTQT2","canonical_record":{"source":{"id":"1907.13440","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-07-29T18:10:30Z","cross_cats_sorted":["cs.AI","cs.NE","stat.ML"],"title_canon_sha256":"b8f43293f18192920d7d68d70ae73538e5ce4fd56e973cfe6947f94b03edf105","abstract_canon_sha256":"04c0bd549baf1c4407bd0bebf72d8d9e1dbbf9529aa98d711c49384120834d02"},"schema_version":"1.0"},"canonical_sha256":"6bd499c27a27c493b061e6381fa36f0ec607e5878590cec7ff6f68a0ae06da28","source":{"kind":"arxiv","id":"1907.13440","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.13440","created_at":"2026-07-04T23:50:49Z"},{"alias_kind":"arxiv_version","alias_value":"1907.13440v1","created_at":"2026-07-04T23:50:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.13440","created_at":"2026-07-04T23:50:49Z"},{"alias_kind":"pith_short_12","alias_value":"NPKJTQT2E7CJ","created_at":"2026-07-04T23:50:49Z"},{"alias_kind":"pith_short_16","alias_value":"NPKJTQT2E7CJHMDB","created_at":"2026-07-04T23:50:49Z"},{"alias_kind":"pith_short_8","alias_value":"NPKJTQT2","created_at":"2026-07-04T23:50:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:NPKJTQT2E7CJHMDB4Y4B7I3PB3","target":"record","payload":{"canonical_record":{"source":{"id":"1907.13440","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-07-29T18:10:30Z","cross_cats_sorted":["cs.AI","cs.NE","stat.ML"],"title_canon_sha256":"b8f43293f18192920d7d68d70ae73538e5ce4fd56e973cfe6947f94b03edf105","abstract_canon_sha256":"04c0bd549baf1c4407bd0bebf72d8d9e1dbbf9529aa98d711c49384120834d02"},"schema_version":"1.0"},"canonical_sha256":"6bd499c27a27c493b061e6381fa36f0ec607e5878590cec7ff6f68a0ae06da28","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:50:49.823513Z","signature_b64":"X8gHTCLzkT9Pw3SKM1tcGPo7fCXEH7RAWJ/YxWrsTkvmr1nggijOtQEYmftQGEQ4PTKLPLnmdbWwQrcdGXMSAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6bd499c27a27c493b061e6381fa36f0ec607e5878590cec7ff6f68a0ae06da28","last_reissued_at":"2026-07-04T23:50:49.823136Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:50:49.823136Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.13440","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":"2026-07-04T23:50:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f3KHT0BukNj3kWvNT5z34KeDIAed3swOnGmRSdQz3RsYJWDWQYwjUtTtBvBj3mOGUVXwrMEG2Duw/cg+m2RvBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:55:34.004378Z"},"content_sha256":"c562af43092f4be4f39725e31a0b86a468d4a21c321ab2e621921e1fcfe6b9b4","schema_version":"1.0","event_id":"sha256:c562af43092f4be4f39725e31a0b86a468d4a21c321ab2e621921e1fcfe6b9b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:NPKJTQT2E7CJHMDB4Y4B7I3PB3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MineRL: A Large-Scale Dataset of Minecraft Demonstrations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.NE","stat.ML"],"primary_cat":"cs.LG","authors_text":"Brandon Houghton, Cayden Codel, Manuela Veloso, Nicholay Topin, Phillip Wang, Ruslan Salakhutdinov, William H. Guss","submitted_at":"2019-07-29T18:10:30Z","abstract_excerpt":"The sample inefficiency of standard deep reinforcement learning methods precludes their application to many real-world problems. Methods which leverage human demonstrations require fewer samples but have been researched less. As demonstrated in the computer vision and natural language processing communities, large-scale datasets have the capacity to facilitate research by serving as an experimental and benchmarking platform for new methods. However, existing datasets compatible with reinforcement learning simulators do not have sufficient scale, structure, and quality to enable the further dev"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.13440","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/1907.13440/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":"2026-07-04T23:50:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CttcecvoHaluG/w3LZwqpEtaTVOKTXuPoUMaACy0VAVQ91f+5xICjt1H0e5gB8ThbmDkVi8PYoVgXjX6SUXjCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:55:34.005295Z"},"content_sha256":"182df97b8fe35d0471088d16dc451c2bac91b26d30e641b4b60fd5f96f4cbfd1","schema_version":"1.0","event_id":"sha256:182df97b8fe35d0471088d16dc451c2bac91b26d30e641b4b60fd5f96f4cbfd1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NPKJTQT2E7CJHMDB4Y4B7I3PB3/bundle.json","state_url":"https://pith.science/pith/NPKJTQT2E7CJHMDB4Y4B7I3PB3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NPKJTQT2E7CJHMDB4Y4B7I3PB3/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":"2026-08-07T19:55:34Z","links":{"resolver":"https://pith.science/pith/NPKJTQT2E7CJHMDB4Y4B7I3PB3","bundle":"https://pith.science/pith/NPKJTQT2E7CJHMDB4Y4B7I3PB3/bundle.json","state":"https://pith.science/pith/NPKJTQT2E7CJHMDB4Y4B7I3PB3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NPKJTQT2E7CJHMDB4Y4B7I3PB3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:NPKJTQT2E7CJHMDB4Y4B7I3PB3","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":"04c0bd549baf1c4407bd0bebf72d8d9e1dbbf9529aa98d711c49384120834d02","cross_cats_sorted":["cs.AI","cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-07-29T18:10:30Z","title_canon_sha256":"b8f43293f18192920d7d68d70ae73538e5ce4fd56e973cfe6947f94b03edf105"},"schema_version":"1.0","source":{"id":"1907.13440","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.13440","created_at":"2026-07-04T23:50:49Z"},{"alias_kind":"arxiv_version","alias_value":"1907.13440v1","created_at":"2026-07-04T23:50:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.13440","created_at":"2026-07-04T23:50:49Z"},{"alias_kind":"pith_short_12","alias_value":"NPKJTQT2E7CJ","created_at":"2026-07-04T23:50:49Z"},{"alias_kind":"pith_short_16","alias_value":"NPKJTQT2E7CJHMDB","created_at":"2026-07-04T23:50:49Z"},{"alias_kind":"pith_short_8","alias_value":"NPKJTQT2","created_at":"2026-07-04T23:50:49Z"}],"graph_snapshots":[{"event_id":"sha256:182df97b8fe35d0471088d16dc451c2bac91b26d30e641b4b60fd5f96f4cbfd1","target":"graph","created_at":"2026-07-04T23:50:49Z","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/1907.13440/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The sample inefficiency of standard deep reinforcement learning methods precludes their application to many real-world problems. Methods which leverage human demonstrations require fewer samples but have been researched less. As demonstrated in the computer vision and natural language processing communities, large-scale datasets have the capacity to facilitate research by serving as an experimental and benchmarking platform for new methods. However, existing datasets compatible with reinforcement learning simulators do not have sufficient scale, structure, and quality to enable the further dev","authors_text":"Brandon Houghton, Cayden Codel, Manuela Veloso, Nicholay Topin, Phillip Wang, Ruslan Salakhutdinov, William H. Guss","cross_cats":["cs.AI","cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-07-29T18:10:30Z","title":"MineRL: A Large-Scale Dataset of Minecraft Demonstrations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.13440","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:c562af43092f4be4f39725e31a0b86a468d4a21c321ab2e621921e1fcfe6b9b4","target":"record","created_at":"2026-07-04T23:50:49Z","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":"04c0bd549baf1c4407bd0bebf72d8d9e1dbbf9529aa98d711c49384120834d02","cross_cats_sorted":["cs.AI","cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-07-29T18:10:30Z","title_canon_sha256":"b8f43293f18192920d7d68d70ae73538e5ce4fd56e973cfe6947f94b03edf105"},"schema_version":"1.0","source":{"id":"1907.13440","kind":"arxiv","version":1}},"canonical_sha256":"6bd499c27a27c493b061e6381fa36f0ec607e5878590cec7ff6f68a0ae06da28","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6bd499c27a27c493b061e6381fa36f0ec607e5878590cec7ff6f68a0ae06da28","first_computed_at":"2026-07-04T23:50:49.823136Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:50:49.823136Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X8gHTCLzkT9Pw3SKM1tcGPo7fCXEH7RAWJ/YxWrsTkvmr1nggijOtQEYmftQGEQ4PTKLPLnmdbWwQrcdGXMSAw==","signature_status":"signed_v1","signed_at":"2026-07-04T23:50:49.823513Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.13440","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c562af43092f4be4f39725e31a0b86a468d4a21c321ab2e621921e1fcfe6b9b4","sha256:182df97b8fe35d0471088d16dc451c2bac91b26d30e641b4b60fd5f96f4cbfd1"],"state_sha256":"43ff0cf784f2b55034f2cbbe2c8791e48d8098a09fa95f69b4009e02be3696c8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0v4SkuuqJvV130q/ZEUjoQpgRqNWiAOysKtgI0x9zvHZw0tvoZokk5xUlciS7ZCiAUHo+Z8nvVfmHHDPJW/HAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T19:55:34.010791Z","bundle_sha256":"0af856849be7b56fee970b53f8713ef50a4cf0ceebac02cb7988417095d818ba"}}