{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AXDTMGRUNGQBITCAQAZTY4RYDI","short_pith_number":"pith:AXDTMGRU","canonical_record":{"source":{"id":"2501.09316","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-16T06:14:58Z","cross_cats_sorted":[],"title_canon_sha256":"e7d460b1ae288dd6d87a357262febefd114989d90b12a0d55056d7abcfe2be1b","abstract_canon_sha256":"eb51404128e11707e43b2ebfd4fed9abb23e87434925157b79b23d40ff8babeb"},"schema_version":"1.0"},"canonical_sha256":"05c7361a3469a0144c4080333c72381a229d967a8f2b1bf46669758b0c516fa3","source":{"kind":"arxiv","id":"2501.09316","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09316","created_at":"2026-07-05T10:01:45Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09316v1","created_at":"2026-07-05T10:01:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09316","created_at":"2026-07-05T10:01:45Z"},{"alias_kind":"pith_short_12","alias_value":"AXDTMGRUNGQB","created_at":"2026-07-05T10:01:45Z"},{"alias_kind":"pith_short_16","alias_value":"AXDTMGRUNGQBITCA","created_at":"2026-07-05T10:01:45Z"},{"alias_kind":"pith_short_8","alias_value":"AXDTMGRU","created_at":"2026-07-05T10:01:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AXDTMGRUNGQBITCAQAZTY4RYDI","target":"record","payload":{"canonical_record":{"source":{"id":"2501.09316","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-16T06:14:58Z","cross_cats_sorted":[],"title_canon_sha256":"e7d460b1ae288dd6d87a357262febefd114989d90b12a0d55056d7abcfe2be1b","abstract_canon_sha256":"eb51404128e11707e43b2ebfd4fed9abb23e87434925157b79b23d40ff8babeb"},"schema_version":"1.0"},"canonical_sha256":"05c7361a3469a0144c4080333c72381a229d967a8f2b1bf46669758b0c516fa3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:01:45.053625Z","signature_b64":"WGUw7fZcnXzv0wqw8Bd4vviqxYtvg/dIMBr1aWwM6035ho0qEhGap4/k5DOzg5WOkPA8Ej7g8nWorxTk7QfgDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"05c7361a3469a0144c4080333c72381a229d967a8f2b1bf46669758b0c516fa3","last_reissued_at":"2026-07-05T10:01:45.053189Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:01:45.053189Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.09316","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":"2026-07-05T10:01:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gStCCsEbTiJia9kLmrQoB8j+mLcqftZIm6juJIv302yhelSlrFqhFH8fW6tYvywb82SdbhaiBnCnfyXIlMX9Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T01:10:38.193140Z"},"content_sha256":"44c82d77cbca05570f8a93effbe7f22ae89480745b9b438493632f4303881b90","schema_version":"1.0","event_id":"sha256:44c82d77cbca05570f8a93effbe7f22ae89480745b9b438493632f4303881b90"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AXDTMGRUNGQBITCAQAZTY4RYDI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anbang Ye, Fujiao Liu, Haitao Bao, Jia Chen, Meichen Lu, Muqi Li, Qianran Ma, Siqi Mai, Tong Li, Yang You","submitted_at":"2025-01-16T06:14:58Z","abstract_excerpt":"Despite significant advancements in general-purpose AI agents, several challenges still hinder their practical application in real-world scenarios. First, the limited planning capabilities of Large Language Models (LLM) restrict AI agents from effectively solving complex tasks that require long-horizon planning. Second, general-purpose AI agents struggle to efficiently utilize domain-specific knowledge and human expertise. In this paper, we introduce the Standard Operational Procedure-guided Agent (SOP-agent), a novel framework for constructing domain-specific agents through pseudocode-style S"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09316","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/2501.09316/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":"2026-07-05T10:01:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZAPNZzH15z8hEctxsNeRbBT1N9r305XDT6qp2pkXsUb8UI16p3VeXagvYSCtRrF0RbrXbP/ES9HPHH6XSzGJBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T01:10:38.193521Z"},"content_sha256":"fe73f5f27280c052d7f31ab867100a5b81657bbc17a3f95dd7b222d85b4c042c","schema_version":"1.0","event_id":"sha256:fe73f5f27280c052d7f31ab867100a5b81657bbc17a3f95dd7b222d85b4c042c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AXDTMGRUNGQBITCAQAZTY4RYDI/bundle.json","state_url":"https://pith.science/pith/AXDTMGRUNGQBITCAQAZTY4RYDI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AXDTMGRUNGQBITCAQAZTY4RYDI/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":"2026-07-10T01:10:38Z","links":{"resolver":"https://pith.science/pith/AXDTMGRUNGQBITCAQAZTY4RYDI","bundle":"https://pith.science/pith/AXDTMGRUNGQBITCAQAZTY4RYDI/bundle.json","state":"https://pith.science/pith/AXDTMGRUNGQBITCAQAZTY4RYDI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AXDTMGRUNGQBITCAQAZTY4RYDI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AXDTMGRUNGQBITCAQAZTY4RYDI","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":"eb51404128e11707e43b2ebfd4fed9abb23e87434925157b79b23d40ff8babeb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-16T06:14:58Z","title_canon_sha256":"e7d460b1ae288dd6d87a357262febefd114989d90b12a0d55056d7abcfe2be1b"},"schema_version":"1.0","source":{"id":"2501.09316","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09316","created_at":"2026-07-05T10:01:45Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09316v1","created_at":"2026-07-05T10:01:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09316","created_at":"2026-07-05T10:01:45Z"},{"alias_kind":"pith_short_12","alias_value":"AXDTMGRUNGQB","created_at":"2026-07-05T10:01:45Z"},{"alias_kind":"pith_short_16","alias_value":"AXDTMGRUNGQBITCA","created_at":"2026-07-05T10:01:45Z"},{"alias_kind":"pith_short_8","alias_value":"AXDTMGRU","created_at":"2026-07-05T10:01:45Z"}],"graph_snapshots":[{"event_id":"sha256:fe73f5f27280c052d7f31ab867100a5b81657bbc17a3f95dd7b222d85b4c042c","target":"graph","created_at":"2026-07-05T10:01:45Z","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/2501.09316/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite significant advancements in general-purpose AI agents, several challenges still hinder their practical application in real-world scenarios. First, the limited planning capabilities of Large Language Models (LLM) restrict AI agents from effectively solving complex tasks that require long-horizon planning. Second, general-purpose AI agents struggle to efficiently utilize domain-specific knowledge and human expertise. In this paper, we introduce the Standard Operational Procedure-guided Agent (SOP-agent), a novel framework for constructing domain-specific agents through pseudocode-style S","authors_text":"Anbang Ye, Fujiao Liu, Haitao Bao, Jia Chen, Meichen Lu, Muqi Li, Qianran Ma, Siqi Mai, Tong Li, Yang You","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-16T06:14:58Z","title":"SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09316","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":"sha256:44c82d77cbca05570f8a93effbe7f22ae89480745b9b438493632f4303881b90","target":"record","created_at":"2026-07-05T10:01:45Z","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":"eb51404128e11707e43b2ebfd4fed9abb23e87434925157b79b23d40ff8babeb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-16T06:14:58Z","title_canon_sha256":"e7d460b1ae288dd6d87a357262febefd114989d90b12a0d55056d7abcfe2be1b"},"schema_version":"1.0","source":{"id":"2501.09316","kind":"arxiv","version":1}},"canonical_sha256":"05c7361a3469a0144c4080333c72381a229d967a8f2b1bf46669758b0c516fa3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05c7361a3469a0144c4080333c72381a229d967a8f2b1bf46669758b0c516fa3","first_computed_at":"2026-07-05T10:01:45.053189Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:01:45.053189Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WGUw7fZcnXzv0wqw8Bd4vviqxYtvg/dIMBr1aWwM6035ho0qEhGap4/k5DOzg5WOkPA8Ej7g8nWorxTk7QfgDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:01:45.053625Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09316","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44c82d77cbca05570f8a93effbe7f22ae89480745b9b438493632f4303881b90","sha256:fe73f5f27280c052d7f31ab867100a5b81657bbc17a3f95dd7b222d85b4c042c"],"state_sha256":"729a15e9dd58dd3a64dfad9ccac9469c34b65696270da0106cc82e7f984bc33e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KQo8w68jVzUA4E+hnwlzS3H1CaFSbh0uQhSGG8tkHVf6V5oMoShhIqWhhtZKIUA0yF6igwTdVvVZOCVW+u8+Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T01:10:38.195433Z","bundle_sha256":"7a5d0abc2b32184e2946f6c959f31df66e091a5daeee5b4f4337514a04c2e09b"}}