{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6S6C7K7PBELJLA2HARGGCESWZZ","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":"05d77e985e0cbb633bfcd58663a7ef185e391e6482c53df89d9104099c3ccc11","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-29T16:56:07Z","title_canon_sha256":"cba93307078baf0cf53b7c7adfaea7283919e3e1a092b2fa741a8049cfc34d94"},"schema_version":"1.0","source":{"id":"1806.11532","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.11532","created_at":"2026-07-05T00:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"1806.11532v2","created_at":"2026-07-05T00:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.11532","created_at":"2026-07-05T00:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"6S6C7K7PBELJ","created_at":"2026-07-05T00:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"6S6C7K7PBELJLA2H","created_at":"2026-07-05T00:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"6S6C7K7P","created_at":"2026-07-05T00:17:47Z"}],"graph_snapshots":[{"event_id":"sha256:c9539181b4722224a1d3a896c713c13658b3d42f1f7a570be714b5cc81dea34f","target":"graph","created_at":"2026-07-05T00:17:47Z","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/1806.11532/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce TextWorld, a sandbox learning environment for the training and evaluation of RL agents on text-based games. TextWorld is a Python library that handles interactive play-through of text games, as well as backend functions like state tracking and reward assignment. It comes with a curated list of games whose features and challenges we have analyzed. More significantly, it enables users to handcraft or automatically generate new games. Its generative mechanisms give precise control over the difficulty, scope, and language of constructed games, and can be used to relax challenges inher","authors_text":"Adam Trischler, \\'Akos K\\'ad\\'ar, Ben Kybartas, Emery Fine, James Moore, Layla El Asri, Mahmoud Adada, Marc-Alexandre C\\^ot\\'e, Matthew Hausknecht, Ruo Yu Tao, Tavian Barnes, Wendy Tay, Xingdi Yuan","cross_cats":["cs.CL","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-29T16:56:07Z","title":"TextWorld: A Learning Environment for Text-based Games"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.11532","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":"sha256:01bf36a3a018d6cf31f76fef7bb203fd2ef4c98a46923962aae17a381d0a7ec2","target":"record","created_at":"2026-07-05T00:17:47Z","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":"05d77e985e0cbb633bfcd58663a7ef185e391e6482c53df89d9104099c3ccc11","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-29T16:56:07Z","title_canon_sha256":"cba93307078baf0cf53b7c7adfaea7283919e3e1a092b2fa741a8049cfc34d94"},"schema_version":"1.0","source":{"id":"1806.11532","kind":"arxiv","version":2}},"canonical_sha256":"f4bc2fabef0916958347044c611256ce498018253eeb2ac57e4e76e98e77b8ea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f4bc2fabef0916958347044c611256ce498018253eeb2ac57e4e76e98e77b8ea","first_computed_at":"2026-07-05T00:17:47.157280Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:17:47.157280Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P36MeDS+PPJ6LWj2BXnuNEnWScAvREKvHRghThOKCJv0sMhxiPviPuDih3+VWGnwg6Kdj0Ia9AzW8qv+nBl7AA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:17:47.157768Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.11532","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01bf36a3a018d6cf31f76fef7bb203fd2ef4c98a46923962aae17a381d0a7ec2","sha256:c9539181b4722224a1d3a896c713c13658b3d42f1f7a570be714b5cc81dea34f"],"state_sha256":"6892f1c20fdb142ac685f839c922453c17a9d234edfac3007c9aabfcb2002d03"}