{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JZNHV4ARPDKJKDFEIE555TKP2Z","short_pith_number":"pith:JZNHV4AR","canonical_record":{"source":{"id":"2501.07054","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-13T04:28:40Z","cross_cats_sorted":[],"title_canon_sha256":"bfe0862a931d65ccc048aabd492f30621ecdc7f91357c5a7401e1a8c15653ace","abstract_canon_sha256":"597f1843da545b1578d16765233258e2e88326846172dc4c6dbe0d7c72e2449c"},"schema_version":"1.0"},"canonical_sha256":"4e5a7af01178d4950ca4413bdecd4fd65793bfed4b9d15ccf97a092b9917359f","source":{"kind":"arxiv","id":"2501.07054","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.07054","created_at":"2026-07-05T10:00:14Z"},{"alias_kind":"arxiv_version","alias_value":"2501.07054v1","created_at":"2026-07-05T10:00:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.07054","created_at":"2026-07-05T10:00:14Z"},{"alias_kind":"pith_short_12","alias_value":"JZNHV4ARPDKJ","created_at":"2026-07-05T10:00:14Z"},{"alias_kind":"pith_short_16","alias_value":"JZNHV4ARPDKJKDFE","created_at":"2026-07-05T10:00:14Z"},{"alias_kind":"pith_short_8","alias_value":"JZNHV4AR","created_at":"2026-07-05T10:00:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JZNHV4ARPDKJKDFEIE555TKP2Z","target":"record","payload":{"canonical_record":{"source":{"id":"2501.07054","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-13T04:28:40Z","cross_cats_sorted":[],"title_canon_sha256":"bfe0862a931d65ccc048aabd492f30621ecdc7f91357c5a7401e1a8c15653ace","abstract_canon_sha256":"597f1843da545b1578d16765233258e2e88326846172dc4c6dbe0d7c72e2449c"},"schema_version":"1.0"},"canonical_sha256":"4e5a7af01178d4950ca4413bdecd4fd65793bfed4b9d15ccf97a092b9917359f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:00:14.399125Z","signature_b64":"zYgbzQPrTntC/1refwv4FGevuqpI5snSBy8bMsVW/o8JObmkMVlY7LwWOtWMmldcyEJPZqyihnHqfZJj4FQgCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e5a7af01178d4950ca4413bdecd4fd65793bfed4b9d15ccf97a092b9917359f","last_reissued_at":"2026-07-05T10:00:14.398456Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:00:14.398456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.07054","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":"2026-07-05T10:00:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rl5TVCfhaDyzPNexSykPprwqOKrfE5L3U+EX+ajco5UEOYYZF9eMNLht4xT47b5MdZ7CYkGUDXr8i93gvMb7Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:04:13.720774Z"},"content_sha256":"fee2ea19dc8d9671c52e9eaf9a924220113a10b64af4c49d10800a668c87b200","schema_version":"1.0","event_id":"sha256:fee2ea19dc8d9671c52e9eaf9a924220113a10b64af4c49d10800a668c87b200"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JZNHV4ARPDKJKDFEIE555TKP2Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PoAct: Policy and Action Dual-Control Agent for Generalized Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Guozhi Yuan, Haitao Li, Jingli Yang, Kai Lin, Shan He, Wei Jia, Yansong Gao, Youfeng Liu, Zilin Ding","submitted_at":"2025-01-13T04:28:40Z","abstract_excerpt":"Based on their superior comprehension and reasoning capabilities, Large Language Model (LLM) driven agent frameworks have achieved significant success in numerous complex reasoning tasks. ReAct-like agents can solve various intricate problems step-by-step through progressive planning and tool calls, iteratively optimizing new steps based on environmental feedback. However, as the planning capabilities of LLMs improve, the actions invoked by tool calls in ReAct-like frameworks often misalign with complex planning and challenging data organization. Code Action addresses these issues while also i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.07054","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/2501.07054/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":"2026-07-05T10:00:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PPKGhwzTXhClE+OjWj22l/3HjRmNx98sYkNcIscHVb98xbvIoMYpuzUmtZk1khrbt7Qf4QFCeLPSjb+vKxCxBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:04:13.721138Z"},"content_sha256":"7fe592ab6646797ae19e1e6df037595f52c7bd237215cdc2937e2e2f19fc1f86","schema_version":"1.0","event_id":"sha256:7fe592ab6646797ae19e1e6df037595f52c7bd237215cdc2937e2e2f19fc1f86"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JZNHV4ARPDKJKDFEIE555TKP2Z/bundle.json","state_url":"https://pith.science/pith/JZNHV4ARPDKJKDFEIE555TKP2Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JZNHV4ARPDKJKDFEIE555TKP2Z/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":"2026-07-09T05:04:13Z","links":{"resolver":"https://pith.science/pith/JZNHV4ARPDKJKDFEIE555TKP2Z","bundle":"https://pith.science/pith/JZNHV4ARPDKJKDFEIE555TKP2Z/bundle.json","state":"https://pith.science/pith/JZNHV4ARPDKJKDFEIE555TKP2Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JZNHV4ARPDKJKDFEIE555TKP2Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JZNHV4ARPDKJKDFEIE555TKP2Z","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":"597f1843da545b1578d16765233258e2e88326846172dc4c6dbe0d7c72e2449c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-13T04:28:40Z","title_canon_sha256":"bfe0862a931d65ccc048aabd492f30621ecdc7f91357c5a7401e1a8c15653ace"},"schema_version":"1.0","source":{"id":"2501.07054","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.07054","created_at":"2026-07-05T10:00:14Z"},{"alias_kind":"arxiv_version","alias_value":"2501.07054v1","created_at":"2026-07-05T10:00:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.07054","created_at":"2026-07-05T10:00:14Z"},{"alias_kind":"pith_short_12","alias_value":"JZNHV4ARPDKJ","created_at":"2026-07-05T10:00:14Z"},{"alias_kind":"pith_short_16","alias_value":"JZNHV4ARPDKJKDFE","created_at":"2026-07-05T10:00:14Z"},{"alias_kind":"pith_short_8","alias_value":"JZNHV4AR","created_at":"2026-07-05T10:00:14Z"}],"graph_snapshots":[{"event_id":"sha256:7fe592ab6646797ae19e1e6df037595f52c7bd237215cdc2937e2e2f19fc1f86","target":"graph","created_at":"2026-07-05T10:00:14Z","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/2501.07054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Based on their superior comprehension and reasoning capabilities, Large Language Model (LLM) driven agent frameworks have achieved significant success in numerous complex reasoning tasks. ReAct-like agents can solve various intricate problems step-by-step through progressive planning and tool calls, iteratively optimizing new steps based on environmental feedback. However, as the planning capabilities of LLMs improve, the actions invoked by tool calls in ReAct-like frameworks often misalign with complex planning and challenging data organization. Code Action addresses these issues while also i","authors_text":"Guozhi Yuan, Haitao Li, Jingli Yang, Kai Lin, Shan He, Wei Jia, Yansong Gao, Youfeng Liu, Zilin Ding","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-13T04:28:40Z","title":"PoAct: Policy and Action Dual-Control Agent for Generalized Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.07054","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:fee2ea19dc8d9671c52e9eaf9a924220113a10b64af4c49d10800a668c87b200","target":"record","created_at":"2026-07-05T10:00:14Z","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":"597f1843da545b1578d16765233258e2e88326846172dc4c6dbe0d7c72e2449c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-13T04:28:40Z","title_canon_sha256":"bfe0862a931d65ccc048aabd492f30621ecdc7f91357c5a7401e1a8c15653ace"},"schema_version":"1.0","source":{"id":"2501.07054","kind":"arxiv","version":1}},"canonical_sha256":"4e5a7af01178d4950ca4413bdecd4fd65793bfed4b9d15ccf97a092b9917359f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e5a7af01178d4950ca4413bdecd4fd65793bfed4b9d15ccf97a092b9917359f","first_computed_at":"2026-07-05T10:00:14.398456Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:00:14.398456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zYgbzQPrTntC/1refwv4FGevuqpI5snSBy8bMsVW/o8JObmkMVlY7LwWOtWMmldcyEJPZqyihnHqfZJj4FQgCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:00:14.399125Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.07054","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fee2ea19dc8d9671c52e9eaf9a924220113a10b64af4c49d10800a668c87b200","sha256:7fe592ab6646797ae19e1e6df037595f52c7bd237215cdc2937e2e2f19fc1f86"],"state_sha256":"38711404c7c93b36a3ae0cb0ecc944be3e75f436caa5cc4c09e40fca43a981e1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2sfqRsG/rpFUtCR+ep04qb4AonbbARcjAQ/eEEVdLhTI0SysFFoSWUqy6HYm6wz7cG+oZzluUgKMWEZ0KERqDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:04:13.723296Z","bundle_sha256":"d728a20a0d50c700d0cb98a120e4e66bb62fb10df193b7546dcaa579bb1449f3"}}