{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:V4DNA5K44ONUU6327YKHHXC67Y","short_pith_number":"pith:V4DNA5K4","canonical_record":{"source":{"id":"2607.21173","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-23T10:59:16Z","cross_cats_sorted":[],"title_canon_sha256":"767afc52e72d21424df04d5c0a0e71fdfb07a0a68d609148779577e54db02556","abstract_canon_sha256":"65202d3a77090ba1ff8fe7ccdb81e0ea214a922efb233222556e669fedfc0882"},"schema_version":"1.0"},"canonical_sha256":"af06d0755ce39b4a7b7afe1473dc5efe3d16ab1e441f9bbdc43b58d6f9b8d107","source":{"kind":"arxiv","id":"2607.21173","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21173","created_at":"2026-07-24T01:24:17Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21173v1","created_at":"2026-07-24T01:24:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21173","created_at":"2026-07-24T01:24:17Z"},{"alias_kind":"pith_short_12","alias_value":"V4DNA5K44ONU","created_at":"2026-07-24T01:24:17Z"},{"alias_kind":"pith_short_16","alias_value":"V4DNA5K44ONUU632","created_at":"2026-07-24T01:24:17Z"},{"alias_kind":"pith_short_8","alias_value":"V4DNA5K4","created_at":"2026-07-24T01:24:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:V4DNA5K44ONUU6327YKHHXC67Y","target":"record","payload":{"canonical_record":{"source":{"id":"2607.21173","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-23T10:59:16Z","cross_cats_sorted":[],"title_canon_sha256":"767afc52e72d21424df04d5c0a0e71fdfb07a0a68d609148779577e54db02556","abstract_canon_sha256":"65202d3a77090ba1ff8fe7ccdb81e0ea214a922efb233222556e669fedfc0882"},"schema_version":"1.0"},"canonical_sha256":"af06d0755ce39b4a7b7afe1473dc5efe3d16ab1e441f9bbdc43b58d6f9b8d107","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-24T01:24:17.286089Z","signature_b64":"Uo4BfVThXuS6Au8AdLypF/J5wn5oOMeac7tZSbZRlfB5w1OegaKWbkcWU5cQiziaaG92xUTQ7DM/Q0O5fT/3Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af06d0755ce39b4a7b7afe1473dc5efe3d16ab1e441f9bbdc43b58d6f9b8d107","last_reissued_at":"2026-07-24T01:24:17.285050Z","signature_status":"signed_v1","first_computed_at":"2026-07-24T01:24:17.285050Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.21173","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":"2026-07-24T01:24:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t0cTggh3de0ounh3Q38d7P2Ttb+DQvAyo7zqVYPq0S61szk4ysqSYdADSAQCornRtdWwiKCn3DFZcfgI6+wpAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:14:01.321366Z"},"content_sha256":"70fc8c82d54a6a8ac5501206afab729e3856425e02204752e0555ee5f46f543b","schema_version":"1.0","event_id":"sha256:70fc8c82d54a6a8ac5501206afab729e3856425e02204752e0555ee5f46f543b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:V4DNA5K44ONUU6327YKHHXC67Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Synthesis and Adversarial Validation of Executable Causal Research Pipelines","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Dan Zeltzer, Irena Girshovitz, Ran Gilad-Bachrach","submitted_at":"2026-07-23T10:59:16Z","abstract_excerpt":"While automated research systems promise to accelerate empirical analysis, they are prone to silent failures: instances in which analysis code executes successfully yet relies on invalid causal assumptions. We present the Artificial Intelligence (AI)-based Epidemiology Research Assistant (ARA), a framework that makes these failures visible by explicitly encoding causal design principles, study-specific assumptions, and methodological constraints. ARA integrates protocol construction, synthetic data generation, and adversarial validation into a unified pipeline. The framework translates natural"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21173","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/2607.21173/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":"2026-07-24T01:24:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GIpQcxY7tKIBBhCVGo0aMWzXHijqUqqowiriDq7lo8f8Qrb+O3a0j6W24ope3j1cQyTC/fkyKwgRnlSqc72iDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:14:01.321867Z"},"content_sha256":"83d95e51d31cccb0b17ca5fef141f8c2890081750662203a75250199bd9e2f5a","schema_version":"1.0","event_id":"sha256:83d95e51d31cccb0b17ca5fef141f8c2890081750662203a75250199bd9e2f5a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V4DNA5K44ONUU6327YKHHXC67Y/bundle.json","state_url":"https://pith.science/pith/V4DNA5K44ONUU6327YKHHXC67Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V4DNA5K44ONUU6327YKHHXC67Y/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":"2026-08-05T06:14:01Z","links":{"resolver":"https://pith.science/pith/V4DNA5K44ONUU6327YKHHXC67Y","bundle":"https://pith.science/pith/V4DNA5K44ONUU6327YKHHXC67Y/bundle.json","state":"https://pith.science/pith/V4DNA5K44ONUU6327YKHHXC67Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V4DNA5K44ONUU6327YKHHXC67Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:V4DNA5K44ONUU6327YKHHXC67Y","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":"65202d3a77090ba1ff8fe7ccdb81e0ea214a922efb233222556e669fedfc0882","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-23T10:59:16Z","title_canon_sha256":"767afc52e72d21424df04d5c0a0e71fdfb07a0a68d609148779577e54db02556"},"schema_version":"1.0","source":{"id":"2607.21173","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21173","created_at":"2026-07-24T01:24:17Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21173v1","created_at":"2026-07-24T01:24:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21173","created_at":"2026-07-24T01:24:17Z"},{"alias_kind":"pith_short_12","alias_value":"V4DNA5K44ONU","created_at":"2026-07-24T01:24:17Z"},{"alias_kind":"pith_short_16","alias_value":"V4DNA5K44ONUU632","created_at":"2026-07-24T01:24:17Z"},{"alias_kind":"pith_short_8","alias_value":"V4DNA5K4","created_at":"2026-07-24T01:24:17Z"}],"graph_snapshots":[{"event_id":"sha256:83d95e51d31cccb0b17ca5fef141f8c2890081750662203a75250199bd9e2f5a","target":"graph","created_at":"2026-07-24T01:24:17Z","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/2607.21173/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While automated research systems promise to accelerate empirical analysis, they are prone to silent failures: instances in which analysis code executes successfully yet relies on invalid causal assumptions. We present the Artificial Intelligence (AI)-based Epidemiology Research Assistant (ARA), a framework that makes these failures visible by explicitly encoding causal design principles, study-specific assumptions, and methodological constraints. ARA integrates protocol construction, synthetic data generation, and adversarial validation into a unified pipeline. The framework translates natural","authors_text":"Dan Zeltzer, Irena Girshovitz, Ran Gilad-Bachrach","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-23T10:59:16Z","title":"Automated Synthesis and Adversarial Validation of Executable Causal Research Pipelines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21173","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":"sha256:70fc8c82d54a6a8ac5501206afab729e3856425e02204752e0555ee5f46f543b","target":"record","created_at":"2026-07-24T01:24:17Z","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":"65202d3a77090ba1ff8fe7ccdb81e0ea214a922efb233222556e669fedfc0882","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-23T10:59:16Z","title_canon_sha256":"767afc52e72d21424df04d5c0a0e71fdfb07a0a68d609148779577e54db02556"},"schema_version":"1.0","source":{"id":"2607.21173","kind":"arxiv","version":1}},"canonical_sha256":"af06d0755ce39b4a7b7afe1473dc5efe3d16ab1e441f9bbdc43b58d6f9b8d107","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af06d0755ce39b4a7b7afe1473dc5efe3d16ab1e441f9bbdc43b58d6f9b8d107","first_computed_at":"2026-07-24T01:24:17.285050Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-24T01:24:17.285050Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Uo4BfVThXuS6Au8AdLypF/J5wn5oOMeac7tZSbZRlfB5w1OegaKWbkcWU5cQiziaaG92xUTQ7DM/Q0O5fT/3Cw==","signature_status":"signed_v1","signed_at":"2026-07-24T01:24:17.286089Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.21173","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70fc8c82d54a6a8ac5501206afab729e3856425e02204752e0555ee5f46f543b","sha256:83d95e51d31cccb0b17ca5fef141f8c2890081750662203a75250199bd9e2f5a"],"state_sha256":"c0107f7368bd796abcb5ec698cc3784a7937e5f55f6dbd55612cd566124233f5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tG0VoKeSrgqDryyLl2STp0P5eedRhLGaMXoHdJmA3SWnJq9aRZmwnHl6WFKPtWLMwyhUrM9FvtdpcJ2F0t4DDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T06:14:01.327108Z","bundle_sha256":"f04b3aef5ba4f7fc69e031a5cfb543f555c78dab1bfce52d8bb109d727436a65"}}