{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AX234YORT7FMA224TCLW25OBK2","short_pith_number":"pith:AX234YOR","canonical_record":{"source":{"id":"2506.04098","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-04T15:55:27Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"9ef90ba072c320305394678f5b8dffd96d9bf14e3ca9ddc010ee668c84159cfd","abstract_canon_sha256":"30d8858a6e85b67222d6c640ffc1b965b3e0f0232942713cb48d9a430112d5f4"},"schema_version":"1.0"},"canonical_sha256":"05f5be61d19fcac06b5c98976d75c156992273f366f86a254a21718ef987f862","source":{"kind":"arxiv","id":"2506.04098","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04098","created_at":"2026-07-05T11:19:07Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04098v2","created_at":"2026-07-05T11:19:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04098","created_at":"2026-07-05T11:19:07Z"},{"alias_kind":"pith_short_12","alias_value":"AX234YORT7FM","created_at":"2026-07-05T11:19:07Z"},{"alias_kind":"pith_short_16","alias_value":"AX234YORT7FMA224","created_at":"2026-07-05T11:19:07Z"},{"alias_kind":"pith_short_8","alias_value":"AX234YOR","created_at":"2026-07-05T11:19:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AX234YORT7FMA224TCLW25OBK2","target":"record","payload":{"canonical_record":{"source":{"id":"2506.04098","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-04T15:55:27Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"9ef90ba072c320305394678f5b8dffd96d9bf14e3ca9ddc010ee668c84159cfd","abstract_canon_sha256":"30d8858a6e85b67222d6c640ffc1b965b3e0f0232942713cb48d9a430112d5f4"},"schema_version":"1.0"},"canonical_sha256":"05f5be61d19fcac06b5c98976d75c156992273f366f86a254a21718ef987f862","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:07.864901Z","signature_b64":"p4i4unhwR8AgmyeCJKPVGi522cQ9uNOzbxHnBE0uJgRD12XPtvRkeawenQ6x8iNGaSlMW4l91bqhEm7Ym+9+CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"05f5be61d19fcac06b5c98976d75c156992273f366f86a254a21718ef987f862","last_reissued_at":"2026-07-05T11:19:07.864379Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:07.864379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.04098","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":"2026-07-05T11:19:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ykZLASnOlWYKIi3UBkQ80oy+HqUZtnzn6cwRmCo7RC75EQ0cbTOzBMR386jrUwi/aGdzG5yg8DT0s2jpEzpBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:13:37.777016Z"},"content_sha256":"230e860a9500e65a92efc28a0daa42a9d7918763027667557388f6e6ac6f65f6","schema_version":"1.0","event_id":"sha256:230e860a9500e65a92efc28a0daa42a9d7918763027667557388f6e6ac6f65f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AX234YORT7FMA224TCLW25OBK2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TextAtari: 100K Frames Game Playing with Language Agents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Bo Jin, Chuyun Shen, Di Wu, Hongyuan Zha, Junjie Sheng, Wei Yin, Wenhao Li, Wenwu Li, Xiangfeng Wang, Yun Hua, Zixiao Huang","submitted_at":"2025-06-04T15:55:27Z","abstract_excerpt":"We present TextAtari, a benchmark for evaluating language agents on very long-horizon decision-making tasks spanning up to 100,000 steps. By translating the visual state representations of classic Atari games into rich textual descriptions, TextAtari creates a challenging test bed that bridges sequential decision-making with natural language processing. The benchmark includes nearly 100 distinct tasks with varying complexity, action spaces, and planning horizons, all rendered as text through an unsupervised representation learning framework (AtariARI). We evaluate three open-source large langu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04098","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/2506.04098/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":"2026-07-05T11:19:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HBORl56siQcT5B2HPrkZ3K5liKMnmp/wS/B379/3pKawqgnmRUw0ZMfvOKdStSVtbu7WXhk0cOFqxXL3CcXbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:13:37.777390Z"},"content_sha256":"45d2caee94a8df5edafc791a27e60eba86ed0c7c0061a0809f3c7066fc7814a3","schema_version":"1.0","event_id":"sha256:45d2caee94a8df5edafc791a27e60eba86ed0c7c0061a0809f3c7066fc7814a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AX234YORT7FMA224TCLW25OBK2/bundle.json","state_url":"https://pith.science/pith/AX234YORT7FMA224TCLW25OBK2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AX234YORT7FMA224TCLW25OBK2/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":"2026-07-06T16:13:37Z","links":{"resolver":"https://pith.science/pith/AX234YORT7FMA224TCLW25OBK2","bundle":"https://pith.science/pith/AX234YORT7FMA224TCLW25OBK2/bundle.json","state":"https://pith.science/pith/AX234YORT7FMA224TCLW25OBK2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AX234YORT7FMA224TCLW25OBK2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AX234YORT7FMA224TCLW25OBK2","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":"30d8858a6e85b67222d6c640ffc1b965b3e0f0232942713cb48d9a430112d5f4","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-04T15:55:27Z","title_canon_sha256":"9ef90ba072c320305394678f5b8dffd96d9bf14e3ca9ddc010ee668c84159cfd"},"schema_version":"1.0","source":{"id":"2506.04098","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04098","created_at":"2026-07-05T11:19:07Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04098v2","created_at":"2026-07-05T11:19:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04098","created_at":"2026-07-05T11:19:07Z"},{"alias_kind":"pith_short_12","alias_value":"AX234YORT7FM","created_at":"2026-07-05T11:19:07Z"},{"alias_kind":"pith_short_16","alias_value":"AX234YORT7FMA224","created_at":"2026-07-05T11:19:07Z"},{"alias_kind":"pith_short_8","alias_value":"AX234YOR","created_at":"2026-07-05T11:19:07Z"}],"graph_snapshots":[{"event_id":"sha256:45d2caee94a8df5edafc791a27e60eba86ed0c7c0061a0809f3c7066fc7814a3","target":"graph","created_at":"2026-07-05T11:19:07Z","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/2506.04098/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present TextAtari, a benchmark for evaluating language agents on very long-horizon decision-making tasks spanning up to 100,000 steps. By translating the visual state representations of classic Atari games into rich textual descriptions, TextAtari creates a challenging test bed that bridges sequential decision-making with natural language processing. The benchmark includes nearly 100 distinct tasks with varying complexity, action spaces, and planning horizons, all rendered as text through an unsupervised representation learning framework (AtariARI). We evaluate three open-source large langu","authors_text":"Bo Jin, Chuyun Shen, Di Wu, Hongyuan Zha, Junjie Sheng, Wei Yin, Wenhao Li, Wenwu Li, Xiangfeng Wang, Yun Hua, Zixiao Huang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-04T15:55:27Z","title":"TextAtari: 100K Frames Game Playing with Language Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04098","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":"sha256:230e860a9500e65a92efc28a0daa42a9d7918763027667557388f6e6ac6f65f6","target":"record","created_at":"2026-07-05T11:19:07Z","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":"30d8858a6e85b67222d6c640ffc1b965b3e0f0232942713cb48d9a430112d5f4","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-04T15:55:27Z","title_canon_sha256":"9ef90ba072c320305394678f5b8dffd96d9bf14e3ca9ddc010ee668c84159cfd"},"schema_version":"1.0","source":{"id":"2506.04098","kind":"arxiv","version":2}},"canonical_sha256":"05f5be61d19fcac06b5c98976d75c156992273f366f86a254a21718ef987f862","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05f5be61d19fcac06b5c98976d75c156992273f366f86a254a21718ef987f862","first_computed_at":"2026-07-05T11:19:07.864379Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:07.864379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p4i4unhwR8AgmyeCJKPVGi522cQ9uNOzbxHnBE0uJgRD12XPtvRkeawenQ6x8iNGaSlMW4l91bqhEm7Ym+9+CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:07.864901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.04098","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:230e860a9500e65a92efc28a0daa42a9d7918763027667557388f6e6ac6f65f6","sha256:45d2caee94a8df5edafc791a27e60eba86ed0c7c0061a0809f3c7066fc7814a3"],"state_sha256":"38b06704547a007f5c69216c92064a3782b7a16ceb7148411a76935aa026264a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WX2jetP5AjTQxV6FD0RphT67IMN+ShC7vn3nmuA2YpYt1jEtfTZ9M2mDpvAm3/j92QGpqf82H8Z/SOFcU/szBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T16:13:37.779262Z","bundle_sha256":"ed285613526eba77271dab231d535d1ae89c88292b3bb6f6841e7a55a999abc4"}}