{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:N2BMKFLVNAETABYH2YRVOTXVZL","short_pith_number":"pith:N2BMKFLV","canonical_record":{"source":{"id":"2303.18211","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-31T17:05:46Z","cross_cats_sorted":["cs.LG","stat.ME"],"title_canon_sha256":"599078618eb7ac3251f9a1394eba841eed593c8daa12d03ed7dea0cff4929535","abstract_canon_sha256":"b9fcde7971e7622b2508f158062690c877fd88cde2ec34e0ff4d3dab220f542c"},"schema_version":"1.0"},"canonical_sha256":"6e82c515756809300707d623574ef5cadf388212f48721f6c9b3fd0917e89448","source":{"kind":"arxiv","id":"2303.18211","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.18211","created_at":"2026-07-05T07:07:37Z"},{"alias_kind":"arxiv_version","alias_value":"2303.18211v2","created_at":"2026-07-05T07:07:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.18211","created_at":"2026-07-05T07:07:37Z"},{"alias_kind":"pith_short_12","alias_value":"N2BMKFLVNAET","created_at":"2026-07-05T07:07:37Z"},{"alias_kind":"pith_short_16","alias_value":"N2BMKFLVNAETABYH","created_at":"2026-07-05T07:07:37Z"},{"alias_kind":"pith_short_8","alias_value":"N2BMKFLV","created_at":"2026-07-05T07:07:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:N2BMKFLVNAETABYH2YRVOTXVZL","target":"record","payload":{"canonical_record":{"source":{"id":"2303.18211","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-31T17:05:46Z","cross_cats_sorted":["cs.LG","stat.ME"],"title_canon_sha256":"599078618eb7ac3251f9a1394eba841eed593c8daa12d03ed7dea0cff4929535","abstract_canon_sha256":"b9fcde7971e7622b2508f158062690c877fd88cde2ec34e0ff4d3dab220f542c"},"schema_version":"1.0"},"canonical_sha256":"6e82c515756809300707d623574ef5cadf388212f48721f6c9b3fd0917e89448","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:07:37.179038Z","signature_b64":"DCiHWaUdhJZt3fMgX0a8z4z9/HnKJtKsfKl4hwC25n1uUunMSnPY+8ekYFu0bh5JdAQ6/0JZdgCfJoxH3O1nCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e82c515756809300707d623574ef5cadf388212f48721f6c9b3fd0917e89448","last_reissued_at":"2026-07-05T07:07:37.178531Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:07:37.178531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.18211","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:07:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tNkU5zSp7I3TdLkN6PwpQNo4oJKanLk3mp7UUOGuHw+zjJpmLNjt71DtRQ/KlNx2mdky0ZWlaF1y02AKvQr5CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:27:00.372457Z"},"content_sha256":"c266a3b74ab793abd42cd60bae34f3358a8c3e7f4dce577290a7ab5bf677c04c","schema_version":"1.0","event_id":"sha256:c266a3b74ab793abd42cd60bae34f3358a8c3e7f4dce577290a7ab5bf677c04c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:N2BMKFLVNAETABYH2YRVOTXVZL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ME"],"primary_cat":"stat.ML","authors_text":"Alexander G. Reisach, Antoine Chambaz, Christof Seiler, Myriam Tami, Sebastian Weichwald","submitted_at":"2023-03-31T17:05:46Z","abstract_excerpt":"Additive Noise Models (ANMs) are a common model class for causal discovery from observational data and are often used to generate synthetic data for causal discovery benchmarking. Specifying an ANM requires choosing all parameters, including those not fixed by explicit assumptions. Reisach et al. (2021) show that sorting variables by increasing variance often yields an ordering close to a causal order and introduce var-sortability to quantify this alignment. Since increasing variances may be unrealistic and are scale-dependent, ANM data are often standardized in benchmarks.\n  We show that synt"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.18211","kind":"arxiv","version":2},"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/2303.18211/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":"2026-07-05T07:07:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lm0UGW8Hd2IdqQ184hJ6kN7ESa6kEVnA6v2Z4DwGQqulhj2ACNXae0X514IV+Ss2Bxg+mPgb8gLMQY6jNRiqDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:27:00.372960Z"},"content_sha256":"30387277879f5713b567cec5505ca95066787ecf10a7d7ab28dd90a9a3a7f8eb","schema_version":"1.0","event_id":"sha256:30387277879f5713b567cec5505ca95066787ecf10a7d7ab28dd90a9a3a7f8eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N2BMKFLVNAETABYH2YRVOTXVZL/bundle.json","state_url":"https://pith.science/pith/N2BMKFLVNAETABYH2YRVOTXVZL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N2BMKFLVNAETABYH2YRVOTXVZL/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":"2026-08-09T17:27:00Z","links":{"resolver":"https://pith.science/pith/N2BMKFLVNAETABYH2YRVOTXVZL","bundle":"https://pith.science/pith/N2BMKFLVNAETABYH2YRVOTXVZL/bundle.json","state":"https://pith.science/pith/N2BMKFLVNAETABYH2YRVOTXVZL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N2BMKFLVNAETABYH2YRVOTXVZL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:N2BMKFLVNAETABYH2YRVOTXVZL","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":"b9fcde7971e7622b2508f158062690c877fd88cde2ec34e0ff4d3dab220f542c","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-31T17:05:46Z","title_canon_sha256":"599078618eb7ac3251f9a1394eba841eed593c8daa12d03ed7dea0cff4929535"},"schema_version":"1.0","source":{"id":"2303.18211","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.18211","created_at":"2026-07-05T07:07:37Z"},{"alias_kind":"arxiv_version","alias_value":"2303.18211v2","created_at":"2026-07-05T07:07:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.18211","created_at":"2026-07-05T07:07:37Z"},{"alias_kind":"pith_short_12","alias_value":"N2BMKFLVNAET","created_at":"2026-07-05T07:07:37Z"},{"alias_kind":"pith_short_16","alias_value":"N2BMKFLVNAETABYH","created_at":"2026-07-05T07:07:37Z"},{"alias_kind":"pith_short_8","alias_value":"N2BMKFLV","created_at":"2026-07-05T07:07:37Z"}],"graph_snapshots":[{"event_id":"sha256:30387277879f5713b567cec5505ca95066787ecf10a7d7ab28dd90a9a3a7f8eb","target":"graph","created_at":"2026-07-05T07:07:37Z","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/2303.18211/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Additive Noise Models (ANMs) are a common model class for causal discovery from observational data and are often used to generate synthetic data for causal discovery benchmarking. Specifying an ANM requires choosing all parameters, including those not fixed by explicit assumptions. Reisach et al. (2021) show that sorting variables by increasing variance often yields an ordering close to a causal order and introduce var-sortability to quantify this alignment. Since increasing variances may be unrealistic and are scale-dependent, ANM data are often standardized in benchmarks.\n  We show that synt","authors_text":"Alexander G. Reisach, Antoine Chambaz, Christof Seiler, Myriam Tami, Sebastian Weichwald","cross_cats":["cs.LG","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-31T17:05:46Z","title":"A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.18211","kind":"arxiv","version":2},"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:c266a3b74ab793abd42cd60bae34f3358a8c3e7f4dce577290a7ab5bf677c04c","target":"record","created_at":"2026-07-05T07:07:37Z","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":"b9fcde7971e7622b2508f158062690c877fd88cde2ec34e0ff4d3dab220f542c","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-31T17:05:46Z","title_canon_sha256":"599078618eb7ac3251f9a1394eba841eed593c8daa12d03ed7dea0cff4929535"},"schema_version":"1.0","source":{"id":"2303.18211","kind":"arxiv","version":2}},"canonical_sha256":"6e82c515756809300707d623574ef5cadf388212f48721f6c9b3fd0917e89448","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e82c515756809300707d623574ef5cadf388212f48721f6c9b3fd0917e89448","first_computed_at":"2026-07-05T07:07:37.178531Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:07:37.178531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DCiHWaUdhJZt3fMgX0a8z4z9/HnKJtKsfKl4hwC25n1uUunMSnPY+8ekYFu0bh5JdAQ6/0JZdgCfJoxH3O1nCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:07:37.179038Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.18211","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c266a3b74ab793abd42cd60bae34f3358a8c3e7f4dce577290a7ab5bf677c04c","sha256:30387277879f5713b567cec5505ca95066787ecf10a7d7ab28dd90a9a3a7f8eb"],"state_sha256":"17b747728f068f6d7c995e8aea246b108dffd174b2cdb84b6ad2c0cdc6fdfa9e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"92d/xqNLligAS03Y9jN2Fbo4SQrTml0MHURU19Wbd3ngpE1m/kBdhPkiuOAKioEf2e5Pkxkpl7evZUOsucE7Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T17:27:00.376736Z","bundle_sha256":"e39e6e23f9cef6b802f112fcf7b7a45669266b281bfc767c8a6b83f90a480ef6"}}