{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZXIKT7LT2FYUBK6NL6NBW6IH5C","short_pith_number":"pith:ZXIKT7LT","canonical_record":{"source":{"id":"2403.11322","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-17T19:54:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1c98e1e113f89af742f160a91e4537b6f38b02f75c411925ddf07847a3a3434e","abstract_canon_sha256":"d40770abc83e20b5065056b2c29944247b1cf2e7aeca3aca2b8d076d0a66de5c"},"schema_version":"1.0"},"canonical_sha256":"cdd0a9fd73d17140abcd5f9a1b7907e8a96452f786f2dbc7a758a2dfe10cf470","source":{"kind":"arxiv","id":"2403.11322","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.11322","created_at":"2026-07-05T09:06:58Z"},{"alias_kind":"arxiv_version","alias_value":"2403.11322v5","created_at":"2026-07-05T09:06:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.11322","created_at":"2026-07-05T09:06:58Z"},{"alias_kind":"pith_short_12","alias_value":"ZXIKT7LT2FYU","created_at":"2026-07-05T09:06:58Z"},{"alias_kind":"pith_short_16","alias_value":"ZXIKT7LT2FYUBK6N","created_at":"2026-07-05T09:06:58Z"},{"alias_kind":"pith_short_8","alias_value":"ZXIKT7LT","created_at":"2026-07-05T09:06:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZXIKT7LT2FYUBK6NL6NBW6IH5C","target":"record","payload":{"canonical_record":{"source":{"id":"2403.11322","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-17T19:54:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1c98e1e113f89af742f160a91e4537b6f38b02f75c411925ddf07847a3a3434e","abstract_canon_sha256":"d40770abc83e20b5065056b2c29944247b1cf2e7aeca3aca2b8d076d0a66de5c"},"schema_version":"1.0"},"canonical_sha256":"cdd0a9fd73d17140abcd5f9a1b7907e8a96452f786f2dbc7a758a2dfe10cf470","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:06:58.063661Z","signature_b64":"nUJUMYVV128mqZdpbdBEk4X34Wb0TleKB2HII0PuUqIO9lIX+AIyG9hThwDXpf6VzOzHOOuFX2mkM90p6yciCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cdd0a9fd73d17140abcd5f9a1b7907e8a96452f786f2dbc7a758a2dfe10cf470","last_reissued_at":"2026-07-05T09:06:58.063176Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:06:58.063176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.11322","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:06:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j7q4yTtLNpcoOlfG7orPYxFTpDeNVjKUrm6CpkvmcqVj/WL0BWIZ1iuLeEDBqA03VLQZw4CrXER50CIwpGwMBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:59:03.472345Z"},"content_sha256":"2e65574c80b69cead8bab65e916e4a97b4a60b4c908b4ce13f7ef254689ecc33","schema_version":"1.0","event_id":"sha256:2e65574c80b69cead8bab65e916e4a97b4a60b4c908b4ce13f7ef254689ecc33"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZXIKT7LT2FYUBK6NL6NBW6IH5C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Chi Wang, Qingyun Wu, Shaokun Zhang, Tianwei Yue, Yiran Wu","submitted_at":"2024-03-17T19:54:16Z","abstract_excerpt":"It is a notable trend to use Large Language Models (LLMs) to tackle complex tasks, e.g., tasks that require a sequence of actions and dynamic interaction with tools and external environments. In this paper, we propose StateFlow, a novel LLM-based task-solving paradigm that conceptualizes complex task-solving processes as state machines. In StateFlow, we distinguish between \"process grounding\" (via state and state transitions) and \"sub-task solving\" (through actions within a state), enhancing control and interpretability of the task-solving procedure. A state represents the status of a running "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.11322","kind":"arxiv","version":5},"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/2403.11322/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":"2026-07-05T09:06:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"57Cf+59TXVagksGRK7x0uUqdiBDTnuajh5bxnX8NbAwZOckqpjrdtHvF3fh8m1QKq18W6Txyg0QKDfL/jfcjBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:59:03.472864Z"},"content_sha256":"e109a56264a7efb6ecb3bec88fc409f16648b3510e4cb8b0aa2b24337f99d61b","schema_version":"1.0","event_id":"sha256:e109a56264a7efb6ecb3bec88fc409f16648b3510e4cb8b0aa2b24337f99d61b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZXIKT7LT2FYUBK6NL6NBW6IH5C/bundle.json","state_url":"https://pith.science/pith/ZXIKT7LT2FYUBK6NL6NBW6IH5C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZXIKT7LT2FYUBK6NL6NBW6IH5C/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":"2026-08-05T12:59:03Z","links":{"resolver":"https://pith.science/pith/ZXIKT7LT2FYUBK6NL6NBW6IH5C","bundle":"https://pith.science/pith/ZXIKT7LT2FYUBK6NL6NBW6IH5C/bundle.json","state":"https://pith.science/pith/ZXIKT7LT2FYUBK6NL6NBW6IH5C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZXIKT7LT2FYUBK6NL6NBW6IH5C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZXIKT7LT2FYUBK6NL6NBW6IH5C","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":"d40770abc83e20b5065056b2c29944247b1cf2e7aeca3aca2b8d076d0a66de5c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-17T19:54:16Z","title_canon_sha256":"1c98e1e113f89af742f160a91e4537b6f38b02f75c411925ddf07847a3a3434e"},"schema_version":"1.0","source":{"id":"2403.11322","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.11322","created_at":"2026-07-05T09:06:58Z"},{"alias_kind":"arxiv_version","alias_value":"2403.11322v5","created_at":"2026-07-05T09:06:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.11322","created_at":"2026-07-05T09:06:58Z"},{"alias_kind":"pith_short_12","alias_value":"ZXIKT7LT2FYU","created_at":"2026-07-05T09:06:58Z"},{"alias_kind":"pith_short_16","alias_value":"ZXIKT7LT2FYUBK6N","created_at":"2026-07-05T09:06:58Z"},{"alias_kind":"pith_short_8","alias_value":"ZXIKT7LT","created_at":"2026-07-05T09:06:58Z"}],"graph_snapshots":[{"event_id":"sha256:e109a56264a7efb6ecb3bec88fc409f16648b3510e4cb8b0aa2b24337f99d61b","target":"graph","created_at":"2026-07-05T09:06:58Z","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/2403.11322/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"It is a notable trend to use Large Language Models (LLMs) to tackle complex tasks, e.g., tasks that require a sequence of actions and dynamic interaction with tools and external environments. In this paper, we propose StateFlow, a novel LLM-based task-solving paradigm that conceptualizes complex task-solving processes as state machines. In StateFlow, we distinguish between \"process grounding\" (via state and state transitions) and \"sub-task solving\" (through actions within a state), enhancing control and interpretability of the task-solving procedure. A state represents the status of a running ","authors_text":"Chi Wang, Qingyun Wu, Shaokun Zhang, Tianwei Yue, Yiran Wu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-17T19:54:16Z","title":"StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.11322","kind":"arxiv","version":5},"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":"sha256:2e65574c80b69cead8bab65e916e4a97b4a60b4c908b4ce13f7ef254689ecc33","target":"record","created_at":"2026-07-05T09:06:58Z","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":"d40770abc83e20b5065056b2c29944247b1cf2e7aeca3aca2b8d076d0a66de5c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-17T19:54:16Z","title_canon_sha256":"1c98e1e113f89af742f160a91e4537b6f38b02f75c411925ddf07847a3a3434e"},"schema_version":"1.0","source":{"id":"2403.11322","kind":"arxiv","version":5}},"canonical_sha256":"cdd0a9fd73d17140abcd5f9a1b7907e8a96452f786f2dbc7a758a2dfe10cf470","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cdd0a9fd73d17140abcd5f9a1b7907e8a96452f786f2dbc7a758a2dfe10cf470","first_computed_at":"2026-07-05T09:06:58.063176Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:58.063176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nUJUMYVV128mqZdpbdBEk4X34Wb0TleKB2HII0PuUqIO9lIX+AIyG9hThwDXpf6VzOzHOOuFX2mkM90p6yciCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:58.063661Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.11322","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e65574c80b69cead8bab65e916e4a97b4a60b4c908b4ce13f7ef254689ecc33","sha256:e109a56264a7efb6ecb3bec88fc409f16648b3510e4cb8b0aa2b24337f99d61b"],"state_sha256":"b24bdebb56afdaae1f396b2691cf5f02d31e42e4b823f2e0c791af63a4cc8a3d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dnoCkYZyUsNy129YQJgj1BZNorgXGKiqNNhAuE79y6FWEKLOhlq/n8XWE+vFlyJFzRpOmfdRhixBOq8e0rquDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T12:59:03.476787Z","bundle_sha256":"d419bd278e16c69cabec19efa1c129076267ea69c41fc71d40425d9ac072f4a1"}}