{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ROLKMVKQ6ZEXETEDWARCWWFU3D","short_pith_number":"pith:ROLKMVKQ","canonical_record":{"source":{"id":"2507.19543","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-23T23:27:49Z","cross_cats_sorted":["cs.MA"],"title_canon_sha256":"3948810e5629be9cfe44dd86610e941458c5af68c6774a65f3eaa5044bdfbac7","abstract_canon_sha256":"0d9bd5025d56365e683c036f238b483d145a94fde1aaca89ea2cb538323d192b"},"schema_version":"1.0"},"canonical_sha256":"8b96a65550f649724c83b0222b58b4d8fce4218e403e499d722f5a20df2abd7b","source":{"kind":"arxiv","id":"2507.19543","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19543","created_at":"2026-07-05T11:43:36Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19543v1","created_at":"2026-07-05T11:43:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19543","created_at":"2026-07-05T11:43:36Z"},{"alias_kind":"pith_short_12","alias_value":"ROLKMVKQ6ZEX","created_at":"2026-07-05T11:43:36Z"},{"alias_kind":"pith_short_16","alias_value":"ROLKMVKQ6ZEXETED","created_at":"2026-07-05T11:43:36Z"},{"alias_kind":"pith_short_8","alias_value":"ROLKMVKQ","created_at":"2026-07-05T11:43:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ROLKMVKQ6ZEXETEDWARCWWFU3D","target":"record","payload":{"canonical_record":{"source":{"id":"2507.19543","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-23T23:27:49Z","cross_cats_sorted":["cs.MA"],"title_canon_sha256":"3948810e5629be9cfe44dd86610e941458c5af68c6774a65f3eaa5044bdfbac7","abstract_canon_sha256":"0d9bd5025d56365e683c036f238b483d145a94fde1aaca89ea2cb538323d192b"},"schema_version":"1.0"},"canonical_sha256":"8b96a65550f649724c83b0222b58b4d8fce4218e403e499d722f5a20df2abd7b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:36.138406Z","signature_b64":"TzW50AX+8NQoOKGXPflAErIozREU2RSk508yNQn+OW1CbWyGpIRkJtvAtfkL3MA6RpkrUq7K9TlJSQHYxTWMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b96a65550f649724c83b0222b58b4d8fce4218e403e499d722f5a20df2abd7b","last_reissued_at":"2026-07-05T11:43:36.137916Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:36.137916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.19543","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":"2026-07-05T11:43:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"75HEsvsJC+yfp5dO9PFivJL1ug91R/stmQ92OWScZoyx8O1unpOxxsNtGx1HL8DhusACXPEk/zXXO2sanYpcBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T05:59:53.395311Z"},"content_sha256":"75245b495fb6c6c0f5170b38d61a6e5a233fd12ecd4a824f7125d34db81d7840","schema_version":"1.0","event_id":"sha256:75245b495fb6c6c0f5170b38d61a6e5a233fd12ecd4a824f7125d34db81d7840"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ROLKMVKQ6ZEXETEDWARCWWFU3D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Agent WARPP: Workflow Adherence via Runtime Parallel Personalization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.AI","authors_text":"Maria Emilia Mazzolenis, Ruirui Zhang","submitted_at":"2025-07-23T23:27:49Z","abstract_excerpt":"Large language models (LLMs) are increasingly applied in task-oriented dialogue (TOD) systems but often struggle with long, conditional workflows that involve external tool calls and depend on user-specific information. We present Workflow Adherence via Runtime Parallel Personalization, or WARPP, a training-free, modular framework that combines multi-agent orchestration with runtime personalization to improve workflow adherence in LLM-based systems. By dynamically pruning conditional branches based on user attributes, the framework reduces reasoning overhead and narrows tool selection at runti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19543","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/2507.19543/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":"2026-07-05T11:43:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gj3XACAHRQ1IRdYtAaPtUVsvradYPse3pfXEeId4i6fR4XcDrwJl9icCTHSWLuMnFEptN38lLc3b3uIEbA4yCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T05:59:53.396173Z"},"content_sha256":"d275c4ab2af9b12fec84b378f94fdb24ffa636e90b8f2c409ace388180f32085","schema_version":"1.0","event_id":"sha256:d275c4ab2af9b12fec84b378f94fdb24ffa636e90b8f2c409ace388180f32085"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ROLKMVKQ6ZEXETEDWARCWWFU3D/bundle.json","state_url":"https://pith.science/pith/ROLKMVKQ6ZEXETEDWARCWWFU3D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ROLKMVKQ6ZEXETEDWARCWWFU3D/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":"2026-08-08T05:59:53Z","links":{"resolver":"https://pith.science/pith/ROLKMVKQ6ZEXETEDWARCWWFU3D","bundle":"https://pith.science/pith/ROLKMVKQ6ZEXETEDWARCWWFU3D/bundle.json","state":"https://pith.science/pith/ROLKMVKQ6ZEXETEDWARCWWFU3D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ROLKMVKQ6ZEXETEDWARCWWFU3D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ROLKMVKQ6ZEXETEDWARCWWFU3D","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":"0d9bd5025d56365e683c036f238b483d145a94fde1aaca89ea2cb538323d192b","cross_cats_sorted":["cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-23T23:27:49Z","title_canon_sha256":"3948810e5629be9cfe44dd86610e941458c5af68c6774a65f3eaa5044bdfbac7"},"schema_version":"1.0","source":{"id":"2507.19543","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19543","created_at":"2026-07-05T11:43:36Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19543v1","created_at":"2026-07-05T11:43:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19543","created_at":"2026-07-05T11:43:36Z"},{"alias_kind":"pith_short_12","alias_value":"ROLKMVKQ6ZEX","created_at":"2026-07-05T11:43:36Z"},{"alias_kind":"pith_short_16","alias_value":"ROLKMVKQ6ZEXETED","created_at":"2026-07-05T11:43:36Z"},{"alias_kind":"pith_short_8","alias_value":"ROLKMVKQ","created_at":"2026-07-05T11:43:36Z"}],"graph_snapshots":[{"event_id":"sha256:d275c4ab2af9b12fec84b378f94fdb24ffa636e90b8f2c409ace388180f32085","target":"graph","created_at":"2026-07-05T11:43:36Z","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/2507.19543/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are increasingly applied in task-oriented dialogue (TOD) systems but often struggle with long, conditional workflows that involve external tool calls and depend on user-specific information. We present Workflow Adherence via Runtime Parallel Personalization, or WARPP, a training-free, modular framework that combines multi-agent orchestration with runtime personalization to improve workflow adherence in LLM-based systems. By dynamically pruning conditional branches based on user attributes, the framework reduces reasoning overhead and narrows tool selection at runti","authors_text":"Maria Emilia Mazzolenis, Ruirui Zhang","cross_cats":["cs.MA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-23T23:27:49Z","title":"Agent WARPP: Workflow Adherence via Runtime Parallel Personalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19543","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":"sha256:75245b495fb6c6c0f5170b38d61a6e5a233fd12ecd4a824f7125d34db81d7840","target":"record","created_at":"2026-07-05T11:43:36Z","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":"0d9bd5025d56365e683c036f238b483d145a94fde1aaca89ea2cb538323d192b","cross_cats_sorted":["cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-23T23:27:49Z","title_canon_sha256":"3948810e5629be9cfe44dd86610e941458c5af68c6774a65f3eaa5044bdfbac7"},"schema_version":"1.0","source":{"id":"2507.19543","kind":"arxiv","version":1}},"canonical_sha256":"8b96a65550f649724c83b0222b58b4d8fce4218e403e499d722f5a20df2abd7b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b96a65550f649724c83b0222b58b4d8fce4218e403e499d722f5a20df2abd7b","first_computed_at":"2026-07-05T11:43:36.137916Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:43:36.137916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TzW50AX+8NQoOKGXPflAErIozREU2RSk508yNQn+OW1CbWyGpIRkJtvAtfkL3MA6RpkrUq7K9TlJSQHYxTWMCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:43:36.138406Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.19543","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75245b495fb6c6c0f5170b38d61a6e5a233fd12ecd4a824f7125d34db81d7840","sha256:d275c4ab2af9b12fec84b378f94fdb24ffa636e90b8f2c409ace388180f32085"],"state_sha256":"92ca74a38ebacb25634f19b99a63fa84e3413f2b74b0b7169370aa2c71d11907"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jOCUuan6WmHJZo+0zfmP4hxZvMIzfrIgnc2wKl3WSG5fSViLDql97mQnuVWGINWdyr8Z6nsCjnHumsDi6oXXDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T05:59:53.410056Z","bundle_sha256":"ce53cbe2d96f06291d9443d31e9749cd43db8083dd356a30eb09370010a604b8"}}