{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BDGU6G24MPTW6DHZDRY6ZWZ53X","short_pith_number":"pith:BDGU6G24","canonical_record":{"source":{"id":"2605.27022","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-26T13:41:09Z","cross_cats_sorted":[],"title_canon_sha256":"501836bacffbfaca1c28d69d589edc1c9183316f0af26acb94848ed37a059bee","abstract_canon_sha256":"11b295103e7967e9f30781aad8f2384f8fa03dc92723d10cef28b4f76b84cc48"},"schema_version":"1.0"},"canonical_sha256":"08cd4f1b5c63e76f0cf91c71ecdb3dddfacd32e9686ba5d1bc055608da8a797d","source":{"kind":"arxiv","id":"2605.27022","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27022","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27022v1","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27022","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_12","alias_value":"BDGU6G24MPTW","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_16","alias_value":"BDGU6G24MPTW6DHZ","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_8","alias_value":"BDGU6G24","created_at":"2026-05-27T01:06:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BDGU6G24MPTW6DHZDRY6ZWZ53X","target":"record","payload":{"canonical_record":{"source":{"id":"2605.27022","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-26T13:41:09Z","cross_cats_sorted":[],"title_canon_sha256":"501836bacffbfaca1c28d69d589edc1c9183316f0af26acb94848ed37a059bee","abstract_canon_sha256":"11b295103e7967e9f30781aad8f2384f8fa03dc92723d10cef28b4f76b84cc48"},"schema_version":"1.0"},"canonical_sha256":"08cd4f1b5c63e76f0cf91c71ecdb3dddfacd32e9686ba5d1bc055608da8a797d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T01:06:24.627582Z","signature_b64":"xcRJRLdqFbXus65f9XpiPpzIqJWc/H6DCSZa3vEDr2vDgJyoGWV9VggTDvXw7UbnyOv1lCPl/GG4Rb/lM9IOCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08cd4f1b5c63e76f0cf91c71ecdb3dddfacd32e9686ba5d1bc055608da8a797d","last_reissued_at":"2026-05-27T01:06:24.626950Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T01:06:24.626950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.27022","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":"2026-05-27T01:06:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X9fJWDFZyEnXK7CL4cSQTR7mt1e8Vd5f/wK2izz3NRiWI5DAzO0Nfhdvt9CbnqMf/nJae+eBfLmihKtx5j18Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T21:37:14.696857Z"},"content_sha256":"d9e55deba828eb593b9569ce3190fab263d4db3d5081546da56d5efba3e859b4","schema_version":"1.0","event_id":"sha256:d9e55deba828eb593b9569ce3190fab263d4db3d5081546da56d5efba3e859b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BDGU6G24MPTW6DHZDRY6ZWZ53X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Juergen Luettin, Kristian Kersting, Lavdim Halilaj, Nicholas Tagliapietra, Phi Nguyen Xuan","submitted_at":"2026-05-26T13:41:09Z","abstract_excerpt":"Causal analysis is a crucial task in many domains, including manufacturing, social science, and medicine. However, despite recent progress, the conceptual and methodological complexity of causal methods makes them largely inaccessible to domain experts. This gap prevents experts from leveraging these advances and hinders researchers who lack access to real-world data for validation. To bridge this divide, we introduce ORCA, a copilot for end-to-end causal analysis. ORCA orchestrates agents to understand the user's goals and guide them through the most appropriate causal analysis workflow, from"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27022","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/2605.27022/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":"2026-05-27T01:06:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gPhRdjwRKeMg2ES7C4unXYfIsVc8p31BYrj+N3JgqnCH4e1GU+Z+gv2JVfazML1PmzOnC0wHc3FsdAKgYlslDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T21:37:14.697240Z"},"content_sha256":"c5bac6bd503ddfbc7805593c9fef5ef9ff65ac59b071baa8c8ddebd610421743","schema_version":"1.0","event_id":"sha256:c5bac6bd503ddfbc7805593c9fef5ef9ff65ac59b071baa8c8ddebd610421743"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BDGU6G24MPTW6DHZDRY6ZWZ53X/bundle.json","state_url":"https://pith.science/pith/BDGU6G24MPTW6DHZDRY6ZWZ53X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BDGU6G24MPTW6DHZDRY6ZWZ53X/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":"2026-05-27T21:37:14Z","links":{"resolver":"https://pith.science/pith/BDGU6G24MPTW6DHZDRY6ZWZ53X","bundle":"https://pith.science/pith/BDGU6G24MPTW6DHZDRY6ZWZ53X/bundle.json","state":"https://pith.science/pith/BDGU6G24MPTW6DHZDRY6ZWZ53X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BDGU6G24MPTW6DHZDRY6ZWZ53X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BDGU6G24MPTW6DHZDRY6ZWZ53X","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":"11b295103e7967e9f30781aad8f2384f8fa03dc92723d10cef28b4f76b84cc48","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-26T13:41:09Z","title_canon_sha256":"501836bacffbfaca1c28d69d589edc1c9183316f0af26acb94848ed37a059bee"},"schema_version":"1.0","source":{"id":"2605.27022","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27022","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27022v1","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27022","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_12","alias_value":"BDGU6G24MPTW","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_16","alias_value":"BDGU6G24MPTW6DHZ","created_at":"2026-05-27T01:06:24Z"},{"alias_kind":"pith_short_8","alias_value":"BDGU6G24","created_at":"2026-05-27T01:06:24Z"}],"graph_snapshots":[{"event_id":"sha256:c5bac6bd503ddfbc7805593c9fef5ef9ff65ac59b071baa8c8ddebd610421743","target":"graph","created_at":"2026-05-27T01:06:24Z","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/2605.27022/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Causal analysis is a crucial task in many domains, including manufacturing, social science, and medicine. However, despite recent progress, the conceptual and methodological complexity of causal methods makes them largely inaccessible to domain experts. This gap prevents experts from leveraging these advances and hinders researchers who lack access to real-world data for validation. To bridge this divide, we introduce ORCA, a copilot for end-to-end causal analysis. ORCA orchestrates agents to understand the user's goals and guide them through the most appropriate causal analysis workflow, from","authors_text":"Juergen Luettin, Kristian Kersting, Lavdim Halilaj, Nicholas Tagliapietra, Phi Nguyen Xuan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-26T13:41:09Z","title":"ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27022","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:d9e55deba828eb593b9569ce3190fab263d4db3d5081546da56d5efba3e859b4","target":"record","created_at":"2026-05-27T01:06:24Z","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":"11b295103e7967e9f30781aad8f2384f8fa03dc92723d10cef28b4f76b84cc48","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-26T13:41:09Z","title_canon_sha256":"501836bacffbfaca1c28d69d589edc1c9183316f0af26acb94848ed37a059bee"},"schema_version":"1.0","source":{"id":"2605.27022","kind":"arxiv","version":1}},"canonical_sha256":"08cd4f1b5c63e76f0cf91c71ecdb3dddfacd32e9686ba5d1bc055608da8a797d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08cd4f1b5c63e76f0cf91c71ecdb3dddfacd32e9686ba5d1bc055608da8a797d","first_computed_at":"2026-05-27T01:06:24.626950Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:06:24.626950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xcRJRLdqFbXus65f9XpiPpzIqJWc/H6DCSZa3vEDr2vDgJyoGWV9VggTDvXw7UbnyOv1lCPl/GG4Rb/lM9IOCQ==","signature_status":"signed_v1","signed_at":"2026-05-27T01:06:24.627582Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.27022","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d9e55deba828eb593b9569ce3190fab263d4db3d5081546da56d5efba3e859b4","sha256:c5bac6bd503ddfbc7805593c9fef5ef9ff65ac59b071baa8c8ddebd610421743"],"state_sha256":"22877a7ef3633eaacb8ddd58929f6fad1d2c7445654a5eaf81172ede9df247ed"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J2M60Zyf/LNjqbWIdq7Voy6KVCy+8/Gst2hO0U6R97HS7XggL803PY1TqkFByPkB+3gZdUVUm7E3C1yCIr/IDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T21:37:14.699379Z","bundle_sha256":"d9c9d0ea1064c2ddbd58c7ac4d9e3832f16bcf467737702d3c570bf80910f9cc"}}