{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NCTSWCPYJLJKLROVSXJG42VKPM","short_pith_number":"pith:NCTSWCPY","canonical_record":{"source":{"id":"2306.00542","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-06-01T10:51:58Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"9f1dae0c99439f90307d2314676ecbe1d3766d7cec516133d647c42ebf6b1fd2","abstract_canon_sha256":"e979ec1f8d047e0e8eca48fb93ab052a9bbdf43b67b0c0623a1d327d62cb2d56"},"schema_version":"1.0"},"canonical_sha256":"68a72b09f84ad2a5c5d595d26e6aaa7b266094941e4f10d1cf4aa6af6b846d66","source":{"kind":"arxiv","id":"2306.00542","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.00542","created_at":"2026-07-05T07:06:28Z"},{"alias_kind":"arxiv_version","alias_value":"2306.00542v2","created_at":"2026-07-05T07:06:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.00542","created_at":"2026-07-05T07:06:28Z"},{"alias_kind":"pith_short_12","alias_value":"NCTSWCPYJLJK","created_at":"2026-07-05T07:06:28Z"},{"alias_kind":"pith_short_16","alias_value":"NCTSWCPYJLJKLROV","created_at":"2026-07-05T07:06:28Z"},{"alias_kind":"pith_short_8","alias_value":"NCTSWCPY","created_at":"2026-07-05T07:06:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NCTSWCPYJLJKLROVSXJG42VKPM","target":"record","payload":{"canonical_record":{"source":{"id":"2306.00542","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-06-01T10:51:58Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"9f1dae0c99439f90307d2314676ecbe1d3766d7cec516133d647c42ebf6b1fd2","abstract_canon_sha256":"e979ec1f8d047e0e8eca48fb93ab052a9bbdf43b67b0c0623a1d327d62cb2d56"},"schema_version":"1.0"},"canonical_sha256":"68a72b09f84ad2a5c5d595d26e6aaa7b266094941e4f10d1cf4aa6af6b846d66","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:06:28.994462Z","signature_b64":"yxOhYv7lc/XEYFMoZXrgXsXOnbiIKbR7bcdYtkOyAFBcsDQ5d0Eq1XaIs/RqG6a47EBYJ166E3QFFAja54spAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"68a72b09f84ad2a5c5d595d26e6aaa7b266094941e4f10d1cf4aa6af6b846d66","last_reissued_at":"2026-07-05T07:06:28.994043Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:06:28.994043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.00542","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":"2026-07-05T07:06:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ujq70kHJFYXN4UdKu+5TnE8rBg6GUvpKOPMA93GcMmK8fagcSvTpvrjMrfD2BIYCb/7/nkCcoEcuRElTxnlhCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:35:27.089759Z"},"content_sha256":"5d5a698a62068f7c3f77cff2493014ef9bd33b9f70eb1cb481f44294997c8f0b","schema_version":"1.0","event_id":"sha256:5d5a698a62068f7c3f77cff2493014ef9bd33b9f70eb1cb481f44294997c8f0b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NCTSWCPYJLJKLROVSXJG42VKPM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Nonparametric Identifiability of Causal Representations from Unknown Interventions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"stat.ML","authors_text":"Armin Keki\\'c, Bernhard Sch\\\"olkopf, David M. Blei, Elias Bareinboim, Julius von K\\\"ugelgen, Liang Wendong, Luigi Gresele, Michel Besserve","submitted_at":"2023-06-01T10:51:58Z","abstract_excerpt":"We study causal representation learning, the task of inferring latent causal variables and their causal relations from high-dimensional mixtures of the variables. Prior work relies on weak supervision, in the form of counterfactual pre- and post-intervention views or temporal structure; places restrictive assumptions, such as linearity, on the mixing function or latent causal model; or requires partial knowledge of the generative process, such as the causal graph or intervention targets. We instead consider the general setting in which both the causal model and the mixing function are nonparam"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.00542","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/2306.00542/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":"2026-07-05T07:06:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oI0IQ2xMJNA/zzRu2xArnhIk108ueqABSg0pfE14rszlaN6Ob3ftTde/LpPEW2WcqveBGhQ6p1WycQcstJL8Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:35:27.091337Z"},"content_sha256":"82ffa8a829e7b3659fe92e6b59c1d594c635dc3fd6c83ecce94d619ece03d446","schema_version":"1.0","event_id":"sha256:82ffa8a829e7b3659fe92e6b59c1d594c635dc3fd6c83ecce94d619ece03d446"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NCTSWCPYJLJKLROVSXJG42VKPM/bundle.json","state_url":"https://pith.science/pith/NCTSWCPYJLJKLROVSXJG42VKPM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NCTSWCPYJLJKLROVSXJG42VKPM/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":"2026-08-18T22:35:27Z","links":{"resolver":"https://pith.science/pith/NCTSWCPYJLJKLROVSXJG42VKPM","bundle":"https://pith.science/pith/NCTSWCPYJLJKLROVSXJG42VKPM/bundle.json","state":"https://pith.science/pith/NCTSWCPYJLJKLROVSXJG42VKPM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NCTSWCPYJLJKLROVSXJG42VKPM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NCTSWCPYJLJKLROVSXJG42VKPM","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":"e979ec1f8d047e0e8eca48fb93ab052a9bbdf43b67b0c0623a1d327d62cb2d56","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-06-01T10:51:58Z","title_canon_sha256":"9f1dae0c99439f90307d2314676ecbe1d3766d7cec516133d647c42ebf6b1fd2"},"schema_version":"1.0","source":{"id":"2306.00542","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.00542","created_at":"2026-07-05T07:06:28Z"},{"alias_kind":"arxiv_version","alias_value":"2306.00542v2","created_at":"2026-07-05T07:06:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.00542","created_at":"2026-07-05T07:06:28Z"},{"alias_kind":"pith_short_12","alias_value":"NCTSWCPYJLJK","created_at":"2026-07-05T07:06:28Z"},{"alias_kind":"pith_short_16","alias_value":"NCTSWCPYJLJKLROV","created_at":"2026-07-05T07:06:28Z"},{"alias_kind":"pith_short_8","alias_value":"NCTSWCPY","created_at":"2026-07-05T07:06:28Z"}],"graph_snapshots":[{"event_id":"sha256:82ffa8a829e7b3659fe92e6b59c1d594c635dc3fd6c83ecce94d619ece03d446","target":"graph","created_at":"2026-07-05T07:06:28Z","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/2306.00542/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study causal representation learning, the task of inferring latent causal variables and their causal relations from high-dimensional mixtures of the variables. Prior work relies on weak supervision, in the form of counterfactual pre- and post-intervention views or temporal structure; places restrictive assumptions, such as linearity, on the mixing function or latent causal model; or requires partial knowledge of the generative process, such as the causal graph or intervention targets. We instead consider the general setting in which both the causal model and the mixing function are nonparam","authors_text":"Armin Keki\\'c, Bernhard Sch\\\"olkopf, David M. Blei, Elias Bareinboim, Julius von K\\\"ugelgen, Liang Wendong, Luigi Gresele, Michel Besserve","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-06-01T10:51:58Z","title":"Nonparametric Identifiability of Causal Representations from Unknown Interventions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.00542","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":"sha256:5d5a698a62068f7c3f77cff2493014ef9bd33b9f70eb1cb481f44294997c8f0b","target":"record","created_at":"2026-07-05T07:06:28Z","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":"e979ec1f8d047e0e8eca48fb93ab052a9bbdf43b67b0c0623a1d327d62cb2d56","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-06-01T10:51:58Z","title_canon_sha256":"9f1dae0c99439f90307d2314676ecbe1d3766d7cec516133d647c42ebf6b1fd2"},"schema_version":"1.0","source":{"id":"2306.00542","kind":"arxiv","version":2}},"canonical_sha256":"68a72b09f84ad2a5c5d595d26e6aaa7b266094941e4f10d1cf4aa6af6b846d66","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68a72b09f84ad2a5c5d595d26e6aaa7b266094941e4f10d1cf4aa6af6b846d66","first_computed_at":"2026-07-05T07:06:28.994043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:06:28.994043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yxOhYv7lc/XEYFMoZXrgXsXOnbiIKbR7bcdYtkOyAFBcsDQ5d0Eq1XaIs/RqG6a47EBYJ166E3QFFAja54spAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:06:28.994462Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.00542","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d5a698a62068f7c3f77cff2493014ef9bd33b9f70eb1cb481f44294997c8f0b","sha256:82ffa8a829e7b3659fe92e6b59c1d594c635dc3fd6c83ecce94d619ece03d446"],"state_sha256":"7355e6fb8765fcb37e9d569a2d074acf07387eb75edd5998a6a3c4b2947c67d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bt2nozSB5wAyWxxZofs9/Fb9QIHkSrz2JuLhRW/1b2SBPzJ3IVmy7X/7bJ2UhLn0SmP1G0A8y8YKcq5mX+vICw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:35:27.122460Z","bundle_sha256":"0fea2585f0ba0fae0d9e379c368d215b8a4df27d59b3619d233ebb80865acc18"}}