{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:G7QUFX2ERUJ6HRGI33HXD4PZ5X","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":"583e16b7083da1088958e77bf146af88bf8dd1da76a047050d868a48a1e8f7e2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-20T13:47:51Z","title_canon_sha256":"ee10624ddc02f9aeb5e9626b8622c10a1128ae0a1ad855b2d9dbbbbabce7aacb"},"schema_version":"1.0","source":{"id":"2502.14563","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.14563","created_at":"2026-07-05T10:17:29Z"},{"alias_kind":"arxiv_version","alias_value":"2502.14563v1","created_at":"2026-07-05T10:17:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.14563","created_at":"2026-07-05T10:17:29Z"},{"alias_kind":"pith_short_12","alias_value":"G7QUFX2ERUJ6","created_at":"2026-07-05T10:17:29Z"},{"alias_kind":"pith_short_16","alias_value":"G7QUFX2ERUJ6HRGI","created_at":"2026-07-05T10:17:29Z"},{"alias_kind":"pith_short_8","alias_value":"G7QUFX2E","created_at":"2026-07-05T10:17:29Z"}],"graph_snapshots":[{"event_id":"sha256:509b589e67eab436080b7bb46ad46b8b9cfe41067c4839233e48876996c06097","target":"graph","created_at":"2026-07-05T10:17:29Z","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/2502.14563/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have demonstrated exceptional abilities in reasoning for task planning. However, challenges remain under-explored for parallel schedules. This paper introduces a novel paradigm, plan-over-graph, in which the model first decomposes a real-life textual task into executable subtasks and constructs an abstract task graph. The model then understands this task graph as input and generates a plan for parallel execution. To enhance the planning capability of complex, scalable graphs, we design an automated and controllable pipeline to generate synthetic graphs and propose ","authors_text":"Hai Zhao, Shiqi Zhang, Xinbei Ma, Zhuosheng Zhang, Zouying Cao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-20T13:47:51Z","title":"Plan-over-Graph: Towards Parallelable LLM Agent Schedule"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.14563","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":"sha256:5aad25c9ddf24eb8b703f4d4656440bfd5e4823a61fefb67d8da32d383423f1b","target":"record","created_at":"2026-07-05T10:17:29Z","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":"583e16b7083da1088958e77bf146af88bf8dd1da76a047050d868a48a1e8f7e2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-20T13:47:51Z","title_canon_sha256":"ee10624ddc02f9aeb5e9626b8622c10a1128ae0a1ad855b2d9dbbbbabce7aacb"},"schema_version":"1.0","source":{"id":"2502.14563","kind":"arxiv","version":1}},"canonical_sha256":"37e142df448d13e3c4c8decf71f1f9edf9102defc372e7c99fc4adfb20ed572a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37e142df448d13e3c4c8decf71f1f9edf9102defc372e7c99fc4adfb20ed572a","first_computed_at":"2026-07-05T10:17:29.133128Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:17:29.133128Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S5IMAGiAyG+aPLvCAZ2gkTjwIOGQiJvkwXLIBy2NipkAp5dvkkRG9qKf4JLomxE4jBqbZPpu6vflO52UQ/FEAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:17:29.133583Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.14563","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5aad25c9ddf24eb8b703f4d4656440bfd5e4823a61fefb67d8da32d383423f1b","sha256:509b589e67eab436080b7bb46ad46b8b9cfe41067c4839233e48876996c06097"],"state_sha256":"b278cca17b9a5913b5741388f27db15934e87b1b728bc63d071c20143bbe4414"}