{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:G32DUFLFHKZNVAWYMXZGNS4BK4","short_pith_number":"pith:G32DUFLF","canonical_record":{"source":{"id":"2502.05227","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-02-06T05:50:37Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"b58b6fa56f70c0f49856b38d689059d8ec44db26692d285cff37cd87014715b4","abstract_canon_sha256":"891d303b51a9a8dcd1e1ef37181344ecc10076a3f1379e9ec99855dcec81b8d3"},"schema_version":"1.0"},"canonical_sha256":"36f43a15653ab2da82d865f266cb81571ab5c735468da2cd75e885fa3df6b7e4","source":{"kind":"arxiv","id":"2502.05227","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05227","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05227v1","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05227","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_12","alias_value":"G32DUFLFHKZN","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_16","alias_value":"G32DUFLFHKZNVAWY","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_8","alias_value":"G32DUFLF","created_at":"2026-07-05T10:11:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:G32DUFLFHKZNVAWYMXZGNS4BK4","target":"record","payload":{"canonical_record":{"source":{"id":"2502.05227","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-02-06T05:50:37Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"b58b6fa56f70c0f49856b38d689059d8ec44db26692d285cff37cd87014715b4","abstract_canon_sha256":"891d303b51a9a8dcd1e1ef37181344ecc10076a3f1379e9ec99855dcec81b8d3"},"schema_version":"1.0"},"canonical_sha256":"36f43a15653ab2da82d865f266cb81571ab5c735468da2cd75e885fa3df6b7e4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:34.465893Z","signature_b64":"FWZsIz2q+XkYj9FWf0GRx+PZ+L+5NHlkSu58LhPcBKVxzd97Xo3imBre3xxfbDHANtAY2QnnE/ZyxZL2oFQDAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"36f43a15653ab2da82d865f266cb81571ab5c735468da2cd75e885fa3df6b7e4","last_reissued_at":"2026-07-05T10:11:34.465450Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:34.465450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.05227","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":"2026-07-05T10:11:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w8S4uUsG244Dc65EnQ84oPp3YuVrUqfX23LhbCKPmJ2H/11wlsRsOF9hc+6b3CE/GhO3nb+1TFsg5OLdb2IJBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T09:35:54.782191Z"},"content_sha256":"004ff28d7cfe4392dcd6c6adf11bac3eafea9933736ed5a08634d33464e5d419","schema_version":"1.0","event_id":"sha256:004ff28d7cfe4392dcd6c6adf11bac3eafea9933736ed5a08634d33464e5d419"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:G32DUFLFHKZNVAWYMXZGNS4BK4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robotouille: An Asynchronous Planning Benchmark for LLM Agents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.RO","authors_text":"Gonzalo Gonzalez-Pumariega, Leong Su Yean, Neha Sunkara, Sanjiban Choudhury","submitted_at":"2025-02-06T05:50:37Z","abstract_excerpt":"Effective asynchronous planning, or the ability to efficiently reason and plan over states and actions that must happen in parallel or sequentially, is essential for agents that must account for time delays, reason over diverse long-horizon tasks, and collaborate with other agents. While large language model (LLM) agents show promise in high-level task planning, current benchmarks focus primarily on short-horizon tasks and do not evaluate such asynchronous planning capabilities. We introduce Robotouille, a challenging benchmark environment designed to test LLM agents' ability to handle long-ho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05227","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/2502.05227/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":"2026-07-05T10:11:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jzrq5bF09VDYsD3E7NnYm3cgJB/ZnMl7y3Vy8n1cVmJQ9PNryaebGAzgSPtLfd5AcEOndBV6862YdJ9gSg6aAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T09:35:54.783921Z"},"content_sha256":"c48aaecd0369d2067498e93b3ba46acf3d97be985cbfcdfe1b4747dd04316641","schema_version":"1.0","event_id":"sha256:c48aaecd0369d2067498e93b3ba46acf3d97be985cbfcdfe1b4747dd04316641"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G32DUFLFHKZNVAWYMXZGNS4BK4/bundle.json","state_url":"https://pith.science/pith/G32DUFLFHKZNVAWYMXZGNS4BK4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G32DUFLFHKZNVAWYMXZGNS4BK4/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":"2026-08-10T09:35:54Z","links":{"resolver":"https://pith.science/pith/G32DUFLFHKZNVAWYMXZGNS4BK4","bundle":"https://pith.science/pith/G32DUFLFHKZNVAWYMXZGNS4BK4/bundle.json","state":"https://pith.science/pith/G32DUFLFHKZNVAWYMXZGNS4BK4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G32DUFLFHKZNVAWYMXZGNS4BK4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:G32DUFLFHKZNVAWYMXZGNS4BK4","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":"891d303b51a9a8dcd1e1ef37181344ecc10076a3f1379e9ec99855dcec81b8d3","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-02-06T05:50:37Z","title_canon_sha256":"b58b6fa56f70c0f49856b38d689059d8ec44db26692d285cff37cd87014715b4"},"schema_version":"1.0","source":{"id":"2502.05227","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05227","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05227v1","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05227","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_12","alias_value":"G32DUFLFHKZN","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_16","alias_value":"G32DUFLFHKZNVAWY","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_8","alias_value":"G32DUFLF","created_at":"2026-07-05T10:11:34Z"}],"graph_snapshots":[{"event_id":"sha256:c48aaecd0369d2067498e93b3ba46acf3d97be985cbfcdfe1b4747dd04316641","target":"graph","created_at":"2026-07-05T10:11:34Z","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/2502.05227/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Effective asynchronous planning, or the ability to efficiently reason and plan over states and actions that must happen in parallel or sequentially, is essential for agents that must account for time delays, reason over diverse long-horizon tasks, and collaborate with other agents. While large language model (LLM) agents show promise in high-level task planning, current benchmarks focus primarily on short-horizon tasks and do not evaluate such asynchronous planning capabilities. We introduce Robotouille, a challenging benchmark environment designed to test LLM agents' ability to handle long-ho","authors_text":"Gonzalo Gonzalez-Pumariega, Leong Su Yean, Neha Sunkara, Sanjiban Choudhury","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-02-06T05:50:37Z","title":"Robotouille: An Asynchronous Planning Benchmark for LLM Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05227","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":"sha256:004ff28d7cfe4392dcd6c6adf11bac3eafea9933736ed5a08634d33464e5d419","target":"record","created_at":"2026-07-05T10:11:34Z","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":"891d303b51a9a8dcd1e1ef37181344ecc10076a3f1379e9ec99855dcec81b8d3","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-02-06T05:50:37Z","title_canon_sha256":"b58b6fa56f70c0f49856b38d689059d8ec44db26692d285cff37cd87014715b4"},"schema_version":"1.0","source":{"id":"2502.05227","kind":"arxiv","version":1}},"canonical_sha256":"36f43a15653ab2da82d865f266cb81571ab5c735468da2cd75e885fa3df6b7e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"36f43a15653ab2da82d865f266cb81571ab5c735468da2cd75e885fa3df6b7e4","first_computed_at":"2026-07-05T10:11:34.465450Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:34.465450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FWZsIz2q+XkYj9FWf0GRx+PZ+L+5NHlkSu58LhPcBKVxzd97Xo3imBre3xxfbDHANtAY2QnnE/ZyxZL2oFQDAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:34.465893Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.05227","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:004ff28d7cfe4392dcd6c6adf11bac3eafea9933736ed5a08634d33464e5d419","sha256:c48aaecd0369d2067498e93b3ba46acf3d97be985cbfcdfe1b4747dd04316641"],"state_sha256":"b6bb3908dcfc9429abf058784eb20481d46366a5ca7dff565619ad5e3553c955"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fCUXY1d3MPD/NMVj5C/2li4xoNhwWuW/xglgalNQC6SXbGK0+lSHwFv1F0iWg9uBbLVU0NzpQDsm9Nux5OfjCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T09:35:54.791771Z","bundle_sha256":"3134bb5f6ebc415024b16a5f1df120cbbd4339c8893c489454985014a1f6ef3b"}}