{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:HX6TBEY37E2ZWVEWLMJK54QSNH","short_pith_number":"pith:HX6TBEY3","canonical_record":{"source":{"id":"2403.00690","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-03-01T17:22:16Z","cross_cats_sorted":[],"title_canon_sha256":"d92da9da53a43154b3a92494e4cc8e53f8c89953bd3997cb3591f027643ae45b","abstract_canon_sha256":"ff3fe6a42cb527b4fee512368140415ebac8724875ac56db1cd3a4ddbba0179b"},"schema_version":"1.0"},"canonical_sha256":"3dfd30931bf9359b54965b12aef21269edf197e205c1bed713c4d80cdbfd353b","source":{"kind":"arxiv","id":"2403.00690","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.00690","created_at":"2026-07-05T07:51:07Z"},{"alias_kind":"arxiv_version","alias_value":"2403.00690v1","created_at":"2026-07-05T07:51:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.00690","created_at":"2026-07-05T07:51:07Z"},{"alias_kind":"pith_short_12","alias_value":"HX6TBEY37E2Z","created_at":"2026-07-05T07:51:07Z"},{"alias_kind":"pith_short_16","alias_value":"HX6TBEY37E2ZWVEW","created_at":"2026-07-05T07:51:07Z"},{"alias_kind":"pith_short_8","alias_value":"HX6TBEY3","created_at":"2026-07-05T07:51:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:HX6TBEY37E2ZWVEWLMJK54QSNH","target":"record","payload":{"canonical_record":{"source":{"id":"2403.00690","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-03-01T17:22:16Z","cross_cats_sorted":[],"title_canon_sha256":"d92da9da53a43154b3a92494e4cc8e53f8c89953bd3997cb3591f027643ae45b","abstract_canon_sha256":"ff3fe6a42cb527b4fee512368140415ebac8724875ac56db1cd3a4ddbba0179b"},"schema_version":"1.0"},"canonical_sha256":"3dfd30931bf9359b54965b12aef21269edf197e205c1bed713c4d80cdbfd353b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:51:07.333370Z","signature_b64":"usKs5SzMj0ITTxJ9Q4PAJE/cmUipAVppP+xNeuMMGZFoV9x4KUlN+UAdcn/uQG/WXvLK8QdXO3AOvuEye65kDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3dfd30931bf9359b54965b12aef21269edf197e205c1bed713c4d80cdbfd353b","last_reissued_at":"2026-07-05T07:51:07.332868Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:51:07.332868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.00690","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":"2026-07-05T07:51:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZQVOIJLiVnTjhi9I2oFjdL3qJ+fvui8o8pvWFHRyYDAqM2HxARJnkvFw1Nq0xZmNXlYFgUiD7e/En5buog19Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:15:45.675687Z"},"content_sha256":"71f18d11098a7ce5be991de419a73ae6ca292c96fa2f704ef7f0e68aac684ac6","schema_version":"1.0","event_id":"sha256:71f18d11098a7ce5be991de419a73ae6ca292c96fa2f704ef7f0e68aac684ac6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:HX6TBEY37E2ZWVEWLMJK54QSNH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Diego Perez-Liebana, Dominik Jeurissen, Duygu Cakmak, James Kwan, Jeremy Gow","submitted_at":"2024-03-01T17:22:16Z","abstract_excerpt":"Large Language Models (LLMs) have shown great success as high-level planners for zero-shot game-playing agents. However, these agents are primarily evaluated on Minecraft, where long-term planning is relatively straightforward. In contrast, agents tested in dynamic robot environments face limitations due to simplistic environments with only a few objects and interactions. To fill this gap in the literature, we present NetPlay, the first LLM-powered zero-shot agent for the challenging roguelike NetHack. NetHack is a particularly challenging environment due to its diverse set of items and monste"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.00690","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/2403.00690/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":"2026-07-05T07:51:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PwZcs3H/GdGYVpMn45TbXlX9XROcutV0tNL/v0kSWGzKpm2uekVsE+4HPd3QKxQyp5NVwYhMaUCax0fRS2kiDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:15:45.676188Z"},"content_sha256":"1b0e41e15dcfa97eb73b9468ab2276b929ab3241d30379d116d9108a42a0687c","schema_version":"1.0","event_id":"sha256:1b0e41e15dcfa97eb73b9468ab2276b929ab3241d30379d116d9108a42a0687c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HX6TBEY37E2ZWVEWLMJK54QSNH/bundle.json","state_url":"https://pith.science/pith/HX6TBEY37E2ZWVEWLMJK54QSNH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HX6TBEY37E2ZWVEWLMJK54QSNH/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":"2026-08-10T04:15:45Z","links":{"resolver":"https://pith.science/pith/HX6TBEY37E2ZWVEWLMJK54QSNH","bundle":"https://pith.science/pith/HX6TBEY37E2ZWVEWLMJK54QSNH/bundle.json","state":"https://pith.science/pith/HX6TBEY37E2ZWVEWLMJK54QSNH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HX6TBEY37E2ZWVEWLMJK54QSNH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HX6TBEY37E2ZWVEWLMJK54QSNH","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":"ff3fe6a42cb527b4fee512368140415ebac8724875ac56db1cd3a4ddbba0179b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-03-01T17:22:16Z","title_canon_sha256":"d92da9da53a43154b3a92494e4cc8e53f8c89953bd3997cb3591f027643ae45b"},"schema_version":"1.0","source":{"id":"2403.00690","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.00690","created_at":"2026-07-05T07:51:07Z"},{"alias_kind":"arxiv_version","alias_value":"2403.00690v1","created_at":"2026-07-05T07:51:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.00690","created_at":"2026-07-05T07:51:07Z"},{"alias_kind":"pith_short_12","alias_value":"HX6TBEY37E2Z","created_at":"2026-07-05T07:51:07Z"},{"alias_kind":"pith_short_16","alias_value":"HX6TBEY37E2ZWVEW","created_at":"2026-07-05T07:51:07Z"},{"alias_kind":"pith_short_8","alias_value":"HX6TBEY3","created_at":"2026-07-05T07:51:07Z"}],"graph_snapshots":[{"event_id":"sha256:1b0e41e15dcfa97eb73b9468ab2276b929ab3241d30379d116d9108a42a0687c","target":"graph","created_at":"2026-07-05T07:51:07Z","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/2403.00690/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown great success as high-level planners for zero-shot game-playing agents. However, these agents are primarily evaluated on Minecraft, where long-term planning is relatively straightforward. In contrast, agents tested in dynamic robot environments face limitations due to simplistic environments with only a few objects and interactions. To fill this gap in the literature, we present NetPlay, the first LLM-powered zero-shot agent for the challenging roguelike NetHack. NetHack is a particularly challenging environment due to its diverse set of items and monste","authors_text":"Diego Perez-Liebana, Dominik Jeurissen, Duygu Cakmak, James Kwan, Jeremy Gow","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-03-01T17:22:16Z","title":"Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.00690","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":"sha256:71f18d11098a7ce5be991de419a73ae6ca292c96fa2f704ef7f0e68aac684ac6","target":"record","created_at":"2026-07-05T07:51:07Z","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":"ff3fe6a42cb527b4fee512368140415ebac8724875ac56db1cd3a4ddbba0179b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-03-01T17:22:16Z","title_canon_sha256":"d92da9da53a43154b3a92494e4cc8e53f8c89953bd3997cb3591f027643ae45b"},"schema_version":"1.0","source":{"id":"2403.00690","kind":"arxiv","version":1}},"canonical_sha256":"3dfd30931bf9359b54965b12aef21269edf197e205c1bed713c4d80cdbfd353b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3dfd30931bf9359b54965b12aef21269edf197e205c1bed713c4d80cdbfd353b","first_computed_at":"2026-07-05T07:51:07.332868Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:51:07.332868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"usKs5SzMj0ITTxJ9Q4PAJE/cmUipAVppP+xNeuMMGZFoV9x4KUlN+UAdcn/uQG/WXvLK8QdXO3AOvuEye65kDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:51:07.333370Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.00690","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71f18d11098a7ce5be991de419a73ae6ca292c96fa2f704ef7f0e68aac684ac6","sha256:1b0e41e15dcfa97eb73b9468ab2276b929ab3241d30379d116d9108a42a0687c"],"state_sha256":"3a9bc52b7cc52cf97ae9dc7379d250609ed1920443957a66cb6dd4aa08325a62"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cr0q7PDcmtLXijSuPF/cHl1TnLiaEhvM9j5Az7iBVgE5oOqjfn7afDhTnunXpnJYET38avwvTqoUim0DeQj/Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T04:15:45.679992Z","bundle_sha256":"43a27ac88903b3190c9eb09ebc63dfbb169237428b94a778d55347c7c663523b"}}