{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:F3WGN3ODP4XHYAON7XIB364EZO","short_pith_number":"pith:F3WGN3OD","canonical_record":{"source":{"id":"1606.07035","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-06-22T18:26:27Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"7813e0a400aeeb672fa2b9819f9e4d7bd9ea8eff84484df914eb6eb3dc63aedd","abstract_canon_sha256":"d7e7eeb55c034c3bd51e327b6f26ed263c7f57611c57ef6170d2c4cb796ef394"},"schema_version":"1.0"},"canonical_sha256":"2eec66edc37f2e7c01cdfdd01dfb84cb8b012c257cf8da1fc50fa8f5fe945c8f","source":{"kind":"arxiv","id":"1606.07035","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.07035","created_at":"2026-05-18T00:52:04Z"},{"alias_kind":"arxiv_version","alias_value":"1606.07035v3","created_at":"2026-05-18T00:52:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.07035","created_at":"2026-05-18T00:52:04Z"},{"alias_kind":"pith_short_12","alias_value":"F3WGN3ODP4XH","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"F3WGN3ODP4XHYAON","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"F3WGN3OD","created_at":"2026-05-18T12:30:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:F3WGN3ODP4XHYAON7XIB364EZO","target":"record","payload":{"canonical_record":{"source":{"id":"1606.07035","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-06-22T18:26:27Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"7813e0a400aeeb672fa2b9819f9e4d7bd9ea8eff84484df914eb6eb3dc63aedd","abstract_canon_sha256":"d7e7eeb55c034c3bd51e327b6f26ed263c7f57611c57ef6170d2c4cb796ef394"},"schema_version":"1.0"},"canonical_sha256":"2eec66edc37f2e7c01cdfdd01dfb84cb8b012c257cf8da1fc50fa8f5fe945c8f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:52:04.003796Z","signature_b64":"aH0H7lYt+rE8wC8e6ahJikVJYHJiHoWdM5yV2nmnDa9J+ElYIG0n+/xfrVTQ8zVuxPKsFvtqkenRTGMIlH7fBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2eec66edc37f2e7c01cdfdd01dfb84cb8b012c257cf8da1fc50fa8f5fe945c8f","last_reissued_at":"2026-05-18T00:52:04.003168Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:52:04.003168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.07035","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:52:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uhkqlwYZ6Y+NTBsJgCC6xPAJyBE/WpghaksEO2i9YeYnTO8F2gOSrZNjiw7j3s9eem/x0FfCupywcAzIX5aDAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T15:58:11.833133Z"},"content_sha256":"670e391f3a7ec116742a44b3659aecfbeaf007d693eab1be1608c67d638a5c18","schema_version":"1.0","event_id":"sha256:670e391f3a7ec116742a44b3659aecfbeaf007d693eab1be1608c67d638a5c18"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:F3WGN3ODP4XHYAON7XIB364EZO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ancestral Causal Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Joris M. Mooij, Sara Magliacane, Tom Claassen","submitted_at":"2016-06-22T18:26:27Z","abstract_excerpt":"Constraint-based causal discovery from limited data is a notoriously difficult challenge due to the many borderline independence test decisions. Several approaches to improve the reliability of the predictions by exploiting redundancy in the independence information have been proposed recently. Though promising, existing approaches can still be greatly improved in terms of accuracy and scalability. We present a novel method that reduces the combinatorial explosion of the search space by using a more coarse-grained representation of causal information, drastically reducing computation time. Add"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.07035","kind":"arxiv","version":3},"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":"2026-05-18T00:52:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WLDHPrTFrIHNy6aKKSUTqn20NW99gqpLiPuWEkRQbVQPIM43c3pSc4sn61PAsmcf8aFux0KF4VqzQutw9XWaCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T15:58:11.833824Z"},"content_sha256":"ee07dbb0725619f32836f9f21c7c9c9c09a01c96fceb8b72d2c9db6698866351","schema_version":"1.0","event_id":"sha256:ee07dbb0725619f32836f9f21c7c9c9c09a01c96fceb8b72d2c9db6698866351"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F3WGN3ODP4XHYAON7XIB364EZO/bundle.json","state_url":"https://pith.science/pith/F3WGN3ODP4XHYAON7XIB364EZO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F3WGN3ODP4XHYAON7XIB364EZO/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":"2026-05-29T15:58:11Z","links":{"resolver":"https://pith.science/pith/F3WGN3ODP4XHYAON7XIB364EZO","bundle":"https://pith.science/pith/F3WGN3ODP4XHYAON7XIB364EZO/bundle.json","state":"https://pith.science/pith/F3WGN3ODP4XHYAON7XIB364EZO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F3WGN3ODP4XHYAON7XIB364EZO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:F3WGN3ODP4XHYAON7XIB364EZO","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":"d7e7eeb55c034c3bd51e327b6f26ed263c7f57611c57ef6170d2c4cb796ef394","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-06-22T18:26:27Z","title_canon_sha256":"7813e0a400aeeb672fa2b9819f9e4d7bd9ea8eff84484df914eb6eb3dc63aedd"},"schema_version":"1.0","source":{"id":"1606.07035","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.07035","created_at":"2026-05-18T00:52:04Z"},{"alias_kind":"arxiv_version","alias_value":"1606.07035v3","created_at":"2026-05-18T00:52:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.07035","created_at":"2026-05-18T00:52:04Z"},{"alias_kind":"pith_short_12","alias_value":"F3WGN3ODP4XH","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"F3WGN3ODP4XHYAON","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"F3WGN3OD","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:ee07dbb0725619f32836f9f21c7c9c9c09a01c96fceb8b72d2c9db6698866351","target":"graph","created_at":"2026-05-18T00:52:04Z","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":"Constraint-based causal discovery from limited data is a notoriously difficult challenge due to the many borderline independence test decisions. Several approaches to improve the reliability of the predictions by exploiting redundancy in the independence information have been proposed recently. Though promising, existing approaches can still be greatly improved in terms of accuracy and scalability. We present a novel method that reduces the combinatorial explosion of the search space by using a more coarse-grained representation of causal information, drastically reducing computation time. Add","authors_text":"Joris M. Mooij, Sara Magliacane, Tom Claassen","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-06-22T18:26:27Z","title":"Ancestral Causal Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.07035","kind":"arxiv","version":3},"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":"sha256:670e391f3a7ec116742a44b3659aecfbeaf007d693eab1be1608c67d638a5c18","target":"record","created_at":"2026-05-18T00:52:04Z","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":"d7e7eeb55c034c3bd51e327b6f26ed263c7f57611c57ef6170d2c4cb796ef394","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-06-22T18:26:27Z","title_canon_sha256":"7813e0a400aeeb672fa2b9819f9e4d7bd9ea8eff84484df914eb6eb3dc63aedd"},"schema_version":"1.0","source":{"id":"1606.07035","kind":"arxiv","version":3}},"canonical_sha256":"2eec66edc37f2e7c01cdfdd01dfb84cb8b012c257cf8da1fc50fa8f5fe945c8f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2eec66edc37f2e7c01cdfdd01dfb84cb8b012c257cf8da1fc50fa8f5fe945c8f","first_computed_at":"2026-05-18T00:52:04.003168Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:52:04.003168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aH0H7lYt+rE8wC8e6ahJikVJYHJiHoWdM5yV2nmnDa9J+ElYIG0n+/xfrVTQ8zVuxPKsFvtqkenRTGMIlH7fBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:52:04.003796Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.07035","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:670e391f3a7ec116742a44b3659aecfbeaf007d693eab1be1608c67d638a5c18","sha256:ee07dbb0725619f32836f9f21c7c9c9c09a01c96fceb8b72d2c9db6698866351"],"state_sha256":"618f8dd7a8060d900a50540aad34538d3ea15d6797021088ac73efd251849eab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XJREwAMSOJIJJLz14uWCZD99PGlT+Q93c+KNcEG4v9UnTMPcMmtXPhxa46Iw7yVyYH7Z0cEel+9RiBhfbH8VCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T15:58:11.836564Z","bundle_sha256":"fe90b073671febe3c9196ebce56ebaf7fcfd25ab843b1c1e8d012882d8bfeace"}}