{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:KFNDHEP2H3QNSXT6TTNV7VT3D3","short_pith_number":"pith:KFNDHEP2","canonical_record":{"source":{"id":"1705.10376","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-05-29T19:45:41Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"f6a62b970122038723a2a2023864f8de3f3100630fd2c829df4a041e285efeeb","abstract_canon_sha256":"45db983112f7764a497befe37d8260b74e3f26cc1a233ea0ee4ade27b03dc0b0"},"schema_version":"1.0"},"canonical_sha256":"515a3391fa3ee0d95e7e9cdb5fd67b1efb1c1b230f0239d1496ebaa3e92b8689","source":{"kind":"arxiv","id":"1705.10376","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.10376","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"arxiv_version","alias_value":"1705.10376v1","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.10376","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"pith_short_12","alias_value":"KFNDHEP2H3QN","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"KFNDHEP2H3QNSXT6","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"KFNDHEP2","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:KFNDHEP2H3QNSXT6TTNV7VT3D3","target":"record","payload":{"canonical_record":{"source":{"id":"1705.10376","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-05-29T19:45:41Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"f6a62b970122038723a2a2023864f8de3f3100630fd2c829df4a041e285efeeb","abstract_canon_sha256":"45db983112f7764a497befe37d8260b74e3f26cc1a233ea0ee4ade27b03dc0b0"},"schema_version":"1.0"},"canonical_sha256":"515a3391fa3ee0d95e7e9cdb5fd67b1efb1c1b230f0239d1496ebaa3e92b8689","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:31.223720Z","signature_b64":"s7Hb+FO2UMm4+g6UoAs5rATLVEnfcFw7KfTQO5FXgV1nfvtHSm/ZkE49+qFRCiS+O2R2Cn82l51QYRXCzGa2BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"515a3391fa3ee0d95e7e9cdb5fd67b1efb1c1b230f0239d1496ebaa3e92b8689","last_reissued_at":"2026-05-18T00:43:31.223220Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:31.223220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.10376","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":"2026-05-18T00:43:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CvQx93S0j0CXr9IvT9QMtDBYt11ux/0Uw3fdYw01zFWmyPXSVZlgBpy90+8fVIu+eODtILRxFrtXjKirfhnDCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:30:59.772787Z"},"content_sha256":"df621467030a2199074fe78aaddb1e9226ef4ac35e2c1b4a201438efbed104c6","schema_version":"1.0","event_id":"sha256:df621467030a2199074fe78aaddb1e9226ef4ac35e2c1b4a201438efbed104c6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:KFNDHEP2H3QNSXT6TTNV7VT3D3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conducting Simulations in Causal Inference with Networks-Based Structural Equation Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.CO","authors_text":"Mark J. van der Laan, Oleg Sofrygin, Romain Neugebauer","submitted_at":"2017-05-29T19:45:41Z","abstract_excerpt":"The past decade has seen an increasing body of literature devoted to the estimation of causal effects in network-dependent data. However, the validity of many classical statistical methods in such data is often questioned. There is an emerging need for objective and practical ways to assess which causal methodologies might be applicable and valid in network-dependent data. This paper describes a set of tools implemented in the simcausal R package that allow simulating data based on user-specified structural equation model for connected units. Specification and simulation of counterfactual data"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.10376","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":""},"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":"2026-05-18T00:43:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oFjTTMXs15sJdZEn7DzIHjBTOxxfkcz4VOwlGUxEe1LLi8spzefNlilbhXBCEUZ9OBsA137S8IsVnZ4c1IxrAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:30:59.773133Z"},"content_sha256":"0058df662502830fba57452523c03233138ff229b9ed27d49a0abdd4ccb51d84","schema_version":"1.0","event_id":"sha256:0058df662502830fba57452523c03233138ff229b9ed27d49a0abdd4ccb51d84"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KFNDHEP2H3QNSXT6TTNV7VT3D3/bundle.json","state_url":"https://pith.science/pith/KFNDHEP2H3QNSXT6TTNV7VT3D3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KFNDHEP2H3QNSXT6TTNV7VT3D3/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":"2026-05-28T12:30:59Z","links":{"resolver":"https://pith.science/pith/KFNDHEP2H3QNSXT6TTNV7VT3D3","bundle":"https://pith.science/pith/KFNDHEP2H3QNSXT6TTNV7VT3D3/bundle.json","state":"https://pith.science/pith/KFNDHEP2H3QNSXT6TTNV7VT3D3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KFNDHEP2H3QNSXT6TTNV7VT3D3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:KFNDHEP2H3QNSXT6TTNV7VT3D3","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":"45db983112f7764a497befe37d8260b74e3f26cc1a233ea0ee4ade27b03dc0b0","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-05-29T19:45:41Z","title_canon_sha256":"f6a62b970122038723a2a2023864f8de3f3100630fd2c829df4a041e285efeeb"},"schema_version":"1.0","source":{"id":"1705.10376","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.10376","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"arxiv_version","alias_value":"1705.10376v1","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.10376","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"pith_short_12","alias_value":"KFNDHEP2H3QN","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"KFNDHEP2H3QNSXT6","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"KFNDHEP2","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:0058df662502830fba57452523c03233138ff229b9ed27d49a0abdd4ccb51d84","target":"graph","created_at":"2026-05-18T00:43:31Z","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"},"paper":{"abstract_excerpt":"The past decade has seen an increasing body of literature devoted to the estimation of causal effects in network-dependent data. However, the validity of many classical statistical methods in such data is often questioned. There is an emerging need for objective and practical ways to assess which causal methodologies might be applicable and valid in network-dependent data. This paper describes a set of tools implemented in the simcausal R package that allow simulating data based on user-specified structural equation model for connected units. Specification and simulation of counterfactual data","authors_text":"Mark J. van der Laan, Oleg Sofrygin, Romain Neugebauer","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-05-29T19:45:41Z","title":"Conducting Simulations in Causal Inference with Networks-Based Structural Equation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.10376","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:df621467030a2199074fe78aaddb1e9226ef4ac35e2c1b4a201438efbed104c6","target":"record","created_at":"2026-05-18T00:43:31Z","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":"45db983112f7764a497befe37d8260b74e3f26cc1a233ea0ee4ade27b03dc0b0","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-05-29T19:45:41Z","title_canon_sha256":"f6a62b970122038723a2a2023864f8de3f3100630fd2c829df4a041e285efeeb"},"schema_version":"1.0","source":{"id":"1705.10376","kind":"arxiv","version":1}},"canonical_sha256":"515a3391fa3ee0d95e7e9cdb5fd67b1efb1c1b230f0239d1496ebaa3e92b8689","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"515a3391fa3ee0d95e7e9cdb5fd67b1efb1c1b230f0239d1496ebaa3e92b8689","first_computed_at":"2026-05-18T00:43:31.223220Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:31.223220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s7Hb+FO2UMm4+g6UoAs5rATLVEnfcFw7KfTQO5FXgV1nfvtHSm/ZkE49+qFRCiS+O2R2Cn82l51QYRXCzGa2BA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:31.223720Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.10376","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df621467030a2199074fe78aaddb1e9226ef4ac35e2c1b4a201438efbed104c6","sha256:0058df662502830fba57452523c03233138ff229b9ed27d49a0abdd4ccb51d84"],"state_sha256":"36928c5e99095fed3ad07de02fb498f2d14c280a7aad51bee214b98835edde42"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zWVsNxJ85KZtAoRkmkubjr9m74LewmkvN1mR0hJhSpqYoQUUb7TUv/74CRmDca/RWiX+4z2OSJNgfPeBq/loCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T12:30:59.775218Z","bundle_sha256":"aacfcacde8cfc7f33e58e24321fafdb2b0565e77eb5c4e2888d21d5f46c342e6"}}