{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7J6Q2UPBCYKPEIGRBMQGVREDKS","short_pith_number":"pith:7J6Q2UPB","canonical_record":{"source":{"id":"2606.24488","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T12:20:17Z","cross_cats_sorted":["cs.AI","stat.ME"],"title_canon_sha256":"48e7658e5c73f51ade5748aaa8ed9774e2648c44d3f751910fa2908cd03b9178","abstract_canon_sha256":"19710636e1ae3ce31b0d95d31862e467ba98cf5c00e4897ed114a14f5372233a"},"schema_version":"1.0"},"canonical_sha256":"fa7d0d51e11614f220d10b206ac48354b960fe9936dd7b50e5ebfeafc23628f3","source":{"kind":"arxiv","id":"2606.24488","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24488","created_at":"2026-06-24T01:15:31Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24488v1","created_at":"2026-06-24T01:15:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24488","created_at":"2026-06-24T01:15:31Z"},{"alias_kind":"pith_short_12","alias_value":"7J6Q2UPBCYKP","created_at":"2026-06-24T01:15:31Z"},{"alias_kind":"pith_short_16","alias_value":"7J6Q2UPBCYKPEIGR","created_at":"2026-06-24T01:15:31Z"},{"alias_kind":"pith_short_8","alias_value":"7J6Q2UPB","created_at":"2026-06-24T01:15:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7J6Q2UPBCYKPEIGRBMQGVREDKS","target":"record","payload":{"canonical_record":{"source":{"id":"2606.24488","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T12:20:17Z","cross_cats_sorted":["cs.AI","stat.ME"],"title_canon_sha256":"48e7658e5c73f51ade5748aaa8ed9774e2648c44d3f751910fa2908cd03b9178","abstract_canon_sha256":"19710636e1ae3ce31b0d95d31862e467ba98cf5c00e4897ed114a14f5372233a"},"schema_version":"1.0"},"canonical_sha256":"fa7d0d51e11614f220d10b206ac48354b960fe9936dd7b50e5ebfeafc23628f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-24T01:15:31.994084Z","signature_b64":"fV9SEgklzWIb5etXQqkD7PEUgEw0Et6cLD883QdaBYSR/LHsNpp9/JjkD8wmXJQRZsbs1qMxyUh13aWPbKtyBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa7d0d51e11614f220d10b206ac48354b960fe9936dd7b50e5ebfeafc23628f3","last_reissued_at":"2026-06-24T01:15:31.993734Z","signature_status":"signed_v1","first_computed_at":"2026-06-24T01:15:31.993734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.24488","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":"2026-06-24T01:15:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rtUJUQWJpiyt6U+a5EKzUiuYUkFEx/U/+O1IILH6vkHHOoCWGHqe0ktughIUjE9Y2CXrudrbm4mPLW9tKuO4Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T13:29:25.902414Z"},"content_sha256":"998dcec8777596d9f9d248d325abb54616c093e94827c48c81d2e366b97e8840","schema_version":"1.0","event_id":"sha256:998dcec8777596d9f9d248d325abb54616c093e94827c48c81d2e366b97e8840"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7J6Q2UPBCYKPEIGRBMQGVREDKS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RetiSEM: Generalising Causal Models for Fragmented Biomedical Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.ME"],"primary_cat":"cs.CV","authors_text":"Imran Razzak, Inam Ullah, Shoaib Jameel","submitted_at":"2026-06-23T12:20:17Z","abstract_excerpt":"Learning causal models from fragmented biomedical data is challenging because clinical, molecular, and imaging variables are often incomplete or not jointly observed. We propose RetiSEM, a domain-constrained structural equation modelling (SEM) framework for causal graph recovery and mediation analysis under limited multimodal resources. This proposed work organises variables into biologically informed blocks, applies forbidden-edge constraints, and decomposes pathway-level effects into TE, NDE, and NIE components. We evaluate RetiSEM across ten synthetic benchmark scenarios that vary in dimens"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24488","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/2606.24488/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":"2026-06-24T01:15:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b7jallFTZ0aTmczE1Fu7eJBUDM0q5jZRLm1TmctDhKp4jj7D2JQT7ycAKwm7J64Ocf52xJ1U8TbM1vPen4vWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T13:29:25.902773Z"},"content_sha256":"d601aa34f00c0345a116d216aa5aef5422c07cc0696580a9695e21ee58b479d1","schema_version":"1.0","event_id":"sha256:d601aa34f00c0345a116d216aa5aef5422c07cc0696580a9695e21ee58b479d1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7J6Q2UPBCYKPEIGRBMQGVREDKS/bundle.json","state_url":"https://pith.science/pith/7J6Q2UPBCYKPEIGRBMQGVREDKS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7J6Q2UPBCYKPEIGRBMQGVREDKS/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":"2026-06-28T13:29:25Z","links":{"resolver":"https://pith.science/pith/7J6Q2UPBCYKPEIGRBMQGVREDKS","bundle":"https://pith.science/pith/7J6Q2UPBCYKPEIGRBMQGVREDKS/bundle.json","state":"https://pith.science/pith/7J6Q2UPBCYKPEIGRBMQGVREDKS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7J6Q2UPBCYKPEIGRBMQGVREDKS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7J6Q2UPBCYKPEIGRBMQGVREDKS","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":"19710636e1ae3ce31b0d95d31862e467ba98cf5c00e4897ed114a14f5372233a","cross_cats_sorted":["cs.AI","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T12:20:17Z","title_canon_sha256":"48e7658e5c73f51ade5748aaa8ed9774e2648c44d3f751910fa2908cd03b9178"},"schema_version":"1.0","source":{"id":"2606.24488","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24488","created_at":"2026-06-24T01:15:31Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24488v1","created_at":"2026-06-24T01:15:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24488","created_at":"2026-06-24T01:15:31Z"},{"alias_kind":"pith_short_12","alias_value":"7J6Q2UPBCYKP","created_at":"2026-06-24T01:15:31Z"},{"alias_kind":"pith_short_16","alias_value":"7J6Q2UPBCYKPEIGR","created_at":"2026-06-24T01:15:31Z"},{"alias_kind":"pith_short_8","alias_value":"7J6Q2UPB","created_at":"2026-06-24T01:15:31Z"}],"graph_snapshots":[{"event_id":"sha256:d601aa34f00c0345a116d216aa5aef5422c07cc0696580a9695e21ee58b479d1","target":"graph","created_at":"2026-06-24T01:15:31Z","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/2606.24488/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning causal models from fragmented biomedical data is challenging because clinical, molecular, and imaging variables are often incomplete or not jointly observed. We propose RetiSEM, a domain-constrained structural equation modelling (SEM) framework for causal graph recovery and mediation analysis under limited multimodal resources. This proposed work organises variables into biologically informed blocks, applies forbidden-edge constraints, and decomposes pathway-level effects into TE, NDE, and NIE components. We evaluate RetiSEM across ten synthetic benchmark scenarios that vary in dimens","authors_text":"Imran Razzak, Inam Ullah, Shoaib Jameel","cross_cats":["cs.AI","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T12:20:17Z","title":"RetiSEM: Generalising Causal Models for Fragmented Biomedical Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24488","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":"sha256:998dcec8777596d9f9d248d325abb54616c093e94827c48c81d2e366b97e8840","target":"record","created_at":"2026-06-24T01:15:31Z","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":"19710636e1ae3ce31b0d95d31862e467ba98cf5c00e4897ed114a14f5372233a","cross_cats_sorted":["cs.AI","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T12:20:17Z","title_canon_sha256":"48e7658e5c73f51ade5748aaa8ed9774e2648c44d3f751910fa2908cd03b9178"},"schema_version":"1.0","source":{"id":"2606.24488","kind":"arxiv","version":1}},"canonical_sha256":"fa7d0d51e11614f220d10b206ac48354b960fe9936dd7b50e5ebfeafc23628f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa7d0d51e11614f220d10b206ac48354b960fe9936dd7b50e5ebfeafc23628f3","first_computed_at":"2026-06-24T01:15:31.993734Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-24T01:15:31.993734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fV9SEgklzWIb5etXQqkD7PEUgEw0Et6cLD883QdaBYSR/LHsNpp9/JjkD8wmXJQRZsbs1qMxyUh13aWPbKtyBA==","signature_status":"signed_v1","signed_at":"2026-06-24T01:15:31.994084Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.24488","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:998dcec8777596d9f9d248d325abb54616c093e94827c48c81d2e366b97e8840","sha256:d601aa34f00c0345a116d216aa5aef5422c07cc0696580a9695e21ee58b479d1"],"state_sha256":"fdefdf40c3e057148e7ec255b5517b5ab6fff08133bbf12dfb9bdac9700cc50c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tPNhItpx7snT1VvJomKRTRUWRYToZXcrAQjJFUqkWpqPZ2TJ7nTNjk9SDsTUDyzEBCvP+l+Cd9lQV7qDbdJPDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T13:29:25.904569Z","bundle_sha256":"9961c43cd0d1cef8b2cdcfe00e3bea9ad1d5d84cde8fcec5b4c74bc44ed3f07e"}}