{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HG65XCPM26ZHH2SEXCQDEVQ7F4","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":"677fe8c1233bfc9f9780ff564f607c719a280009672d2bca5021981378b112ac","cross_cats_sorted":["cs.HC","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-09T18:19:25Z","title_canon_sha256":"02c726794978ac387e3d3d116a8cc8c4d4932e587181e959b6fa9db235e4246c"},"schema_version":"1.0","source":{"id":"2402.06596","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.06596","created_at":"2026-07-05T07:43:27Z"},{"alias_kind":"arxiv_version","alias_value":"2402.06596v1","created_at":"2026-07-05T07:43:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.06596","created_at":"2026-07-05T07:43:27Z"},{"alias_kind":"pith_short_12","alias_value":"HG65XCPM26ZH","created_at":"2026-07-05T07:43:27Z"},{"alias_kind":"pith_short_16","alias_value":"HG65XCPM26ZHH2SE","created_at":"2026-07-05T07:43:27Z"},{"alias_kind":"pith_short_8","alias_value":"HG65XCPM","created_at":"2026-07-05T07:43:27Z"}],"graph_snapshots":[{"event_id":"sha256:f072742b88e47ab0dee399cc11ecff2b9fc0b55ccb2831eca3351866dc0fac60","target":"graph","created_at":"2026-07-05T07:43:27Z","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/2402.06596/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have empowered intelligent agents to execute intricate tasks within domain-specific software such as browsers and games. However, when applied to general-purpose software systems like operating systems, LLM agents face three primary challenges. Firstly, the action space is vast and dynamic, posing difficulties for LLM agents to maintain an up-to-date understanding and deliver accurate responses. Secondly, real-world tasks often require inter-application cooperation}, demanding farsighted planning from LLM agents. Thirdly, agents need to identify optimal solutions a","authors_text":"Fan Yang, Hui Xue, Mingzhe Xing, Qi Chen, Rongkai Zhang, Zhen Xiao","cross_cats":["cs.HC","cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-09T18:19:25Z","title":"Understanding the Weakness of Large Language Model Agents within a Complex Android Environment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.06596","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":"sha256:303b18a15b06e25b397de9dabb987ef59bd0fc62c05159a34f275b98bafc6059","target":"record","created_at":"2026-07-05T07:43:27Z","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":"677fe8c1233bfc9f9780ff564f607c719a280009672d2bca5021981378b112ac","cross_cats_sorted":["cs.HC","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-09T18:19:25Z","title_canon_sha256":"02c726794978ac387e3d3d116a8cc8c4d4932e587181e959b6fa9db235e4246c"},"schema_version":"1.0","source":{"id":"2402.06596","kind":"arxiv","version":1}},"canonical_sha256":"39bddb89ecd7b273ea44b8a032561f2f008fb57272ddf041eb67518add3e837b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39bddb89ecd7b273ea44b8a032561f2f008fb57272ddf041eb67518add3e837b","first_computed_at":"2026-07-05T07:43:27.546678Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:43:27.546678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EJ4xbIutdJWhtThQUGq0A3vfjhEo+wmBTUj0z9smZ10LGO6f9nWnW3OM7fsPwJ8oHwOI2fRI9HY+vx0P+ybvCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:43:27.547219Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.06596","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:303b18a15b06e25b397de9dabb987ef59bd0fc62c05159a34f275b98bafc6059","sha256:f072742b88e47ab0dee399cc11ecff2b9fc0b55ccb2831eca3351866dc0fac60"],"state_sha256":"d4d01c378d78f7fd92ce7d5590295a430a6fe7ffe59bfe02eac473f585a883a6"}