{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LVAT434I3CCIBCKWS23KILO3ON","short_pith_number":"pith:LVAT434I","canonical_record":{"source":{"id":"2607.00972","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-01T14:08:58Z","cross_cats_sorted":[],"title_canon_sha256":"65f61ff0b3b48452d48b831bd549508c3bd478eec0540179d8e0a39cf08b79d2","abstract_canon_sha256":"6a20a1f984959ae34f9940c3ca4be5228c6974bbf3fcd5ff9e320424a0c906ba"},"schema_version":"1.0"},"canonical_sha256":"5d413e6f88d88480895696b6a42ddb737f55dd36402044314ee1f42328e17858","source":{"kind":"arxiv","id":"2607.00972","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00972","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00972v1","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00972","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"LVAT434I3CCI","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"LVAT434I3CCIBCKW","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"LVAT434I","created_at":"2026-07-02T01:18:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LVAT434I3CCIBCKWS23KILO3ON","target":"record","payload":{"canonical_record":{"source":{"id":"2607.00972","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-01T14:08:58Z","cross_cats_sorted":[],"title_canon_sha256":"65f61ff0b3b48452d48b831bd549508c3bd478eec0540179d8e0a39cf08b79d2","abstract_canon_sha256":"6a20a1f984959ae34f9940c3ca4be5228c6974bbf3fcd5ff9e320424a0c906ba"},"schema_version":"1.0"},"canonical_sha256":"5d413e6f88d88480895696b6a42ddb737f55dd36402044314ee1f42328e17858","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:18:24.849708Z","signature_b64":"SVKPaweJdbB/YlbVYCMrNs54HAhmJzwUziW85TQdO1MJ56rfzntPbve018NVTIjRKj93SVQ3xs9XYeoWizrvDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d413e6f88d88480895696b6a42ddb737f55dd36402044314ee1f42328e17858","last_reissued_at":"2026-07-02T01:18:24.849355Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:18:24.849355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.00972","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":"2026-07-02T01:18:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hXNDT4PamNm2q/+ZA0Y/P0r5OJWWIXjXv3h5o+01OoDZ86DLiwMa1tHlUgxfBNXAzX80PuCCxfUClFTWl7OJCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T04:11:05.530385Z"},"content_sha256":"d920101401219701ab3ce7501272429fe5d5d513caad428843f3fec03fc6af3d","schema_version":"1.0","event_id":"sha256:d920101401219701ab3ce7501272429fe5d5d513caad428843f3fec03fc6af3d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LVAT434I3CCIBCKWS23KILO3ON","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Connor Walker, Koorosh Aslansefat, Louis Donaldson, Yiannis Papadopoulos","submitted_at":"2026-07-01T14:08:58Z","abstract_excerpt":"Trustworthy deployment of Agentic Retrieval-Augmented Generation (RAG) systems requires mechanisms for estimating when multi-stage reasoning pipelines may fail. This paper presents an uncertainty-aware Agentic Retrieval-Augmented Generation (RAG) framework in which planner, evaluator and generator stages produce uncertainty signals derived from semantic divergence and generator self-evaluation. These signals are propagated through a Bayesian Network (BN) to estimate system-level uncertainty and provide node-level indicators of potential failure points across the workflow. The approach is evalu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00972","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/2607.00972/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":"2026-07-02T01:18:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7/ly8ttYXhNe5Si5T+TGvkEuS9TwvY05SDXu5ZCtQknWLDodgzPHp/TM5fGncpyL39F9ntbcSks1Us58aKi4CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T04:11:05.530770Z"},"content_sha256":"31bc92c5b1b428c164c821c3c2fb6dc524ffd92873efd9eccf6444822187768b","schema_version":"1.0","event_id":"sha256:31bc92c5b1b428c164c821c3c2fb6dc524ffd92873efd9eccf6444822187768b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LVAT434I3CCIBCKWS23KILO3ON/bundle.json","state_url":"https://pith.science/pith/LVAT434I3CCIBCKWS23KILO3ON/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LVAT434I3CCIBCKWS23KILO3ON/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":"2026-07-04T04:11:05Z","links":{"resolver":"https://pith.science/pith/LVAT434I3CCIBCKWS23KILO3ON","bundle":"https://pith.science/pith/LVAT434I3CCIBCKWS23KILO3ON/bundle.json","state":"https://pith.science/pith/LVAT434I3CCIBCKWS23KILO3ON/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LVAT434I3CCIBCKWS23KILO3ON/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LVAT434I3CCIBCKWS23KILO3ON","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":"6a20a1f984959ae34f9940c3ca4be5228c6974bbf3fcd5ff9e320424a0c906ba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-01T14:08:58Z","title_canon_sha256":"65f61ff0b3b48452d48b831bd549508c3bd478eec0540179d8e0a39cf08b79d2"},"schema_version":"1.0","source":{"id":"2607.00972","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00972","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00972v1","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00972","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"LVAT434I3CCI","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"LVAT434I3CCIBCKW","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"LVAT434I","created_at":"2026-07-02T01:18:24Z"}],"graph_snapshots":[{"event_id":"sha256:31bc92c5b1b428c164c821c3c2fb6dc524ffd92873efd9eccf6444822187768b","target":"graph","created_at":"2026-07-02T01:18:24Z","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/2607.00972/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Trustworthy deployment of Agentic Retrieval-Augmented Generation (RAG) systems requires mechanisms for estimating when multi-stage reasoning pipelines may fail. This paper presents an uncertainty-aware Agentic Retrieval-Augmented Generation (RAG) framework in which planner, evaluator and generator stages produce uncertainty signals derived from semantic divergence and generator self-evaluation. These signals are propagated through a Bayesian Network (BN) to estimate system-level uncertainty and provide node-level indicators of potential failure points across the workflow. The approach is evalu","authors_text":"Connor Walker, Koorosh Aslansefat, Louis Donaldson, Yiannis Papadopoulos","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-01T14:08:58Z","title":"Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00972","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:d920101401219701ab3ce7501272429fe5d5d513caad428843f3fec03fc6af3d","target":"record","created_at":"2026-07-02T01:18:24Z","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":"6a20a1f984959ae34f9940c3ca4be5228c6974bbf3fcd5ff9e320424a0c906ba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-01T14:08:58Z","title_canon_sha256":"65f61ff0b3b48452d48b831bd549508c3bd478eec0540179d8e0a39cf08b79d2"},"schema_version":"1.0","source":{"id":"2607.00972","kind":"arxiv","version":1}},"canonical_sha256":"5d413e6f88d88480895696b6a42ddb737f55dd36402044314ee1f42328e17858","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d413e6f88d88480895696b6a42ddb737f55dd36402044314ee1f42328e17858","first_computed_at":"2026-07-02T01:18:24.849355Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:18:24.849355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SVKPaweJdbB/YlbVYCMrNs54HAhmJzwUziW85TQdO1MJ56rfzntPbve018NVTIjRKj93SVQ3xs9XYeoWizrvDw==","signature_status":"signed_v1","signed_at":"2026-07-02T01:18:24.849708Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.00972","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d920101401219701ab3ce7501272429fe5d5d513caad428843f3fec03fc6af3d","sha256:31bc92c5b1b428c164c821c3c2fb6dc524ffd92873efd9eccf6444822187768b"],"state_sha256":"fe85aabbd4f7821e950da8a15f8857c93ac6d51f8bf450147f2ec9cd64ab2957"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uYLvNS4VSnR8f+Q7OB8LqagDvh0FQOlOE0f5uRqS3LMCWkYQkz2eCwCMIHjVHxnAvLdrJxoP+IuwttTozbwUAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T04:11:05.534123Z","bundle_sha256":"45a16386bb88b98a6e2b544e022109976d8d2ffcc75fa7142e54e366889ca2ea"}}