{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:MG522QFWKRFKYUID6SESFG4QCW","short_pith_number":"pith:MG522QFW","canonical_record":{"source":{"id":"2007.10653","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-07-21T08:18:06Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2b96e7144181db501dcb973383f951c80ae664e6c941b0e21940f3195dd03c94","abstract_canon_sha256":"8fedd7cbccf334977303cdbab1bfef669795b86915aecb4ae2afda4736bbbbee"},"schema_version":"1.0"},"canonical_sha256":"61bbad40b6544aac5103f489229b9015aa16b2398624cb1efceda94cd5089b7b","source":{"kind":"arxiv","id":"2007.10653","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.10653","created_at":"2026-07-05T03:53:43Z"},{"alias_kind":"arxiv_version","alias_value":"2007.10653v6","created_at":"2026-07-05T03:53:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.10653","created_at":"2026-07-05T03:53:43Z"},{"alias_kind":"pith_short_12","alias_value":"MG522QFWKRFK","created_at":"2026-07-05T03:53:43Z"},{"alias_kind":"pith_short_16","alias_value":"MG522QFWKRFKYUID","created_at":"2026-07-05T03:53:43Z"},{"alias_kind":"pith_short_8","alias_value":"MG522QFW","created_at":"2026-07-05T03:53:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:MG522QFWKRFKYUID6SESFG4QCW","target":"record","payload":{"canonical_record":{"source":{"id":"2007.10653","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-07-21T08:18:06Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2b96e7144181db501dcb973383f951c80ae664e6c941b0e21940f3195dd03c94","abstract_canon_sha256":"8fedd7cbccf334977303cdbab1bfef669795b86915aecb4ae2afda4736bbbbee"},"schema_version":"1.0"},"canonical_sha256":"61bbad40b6544aac5103f489229b9015aa16b2398624cb1efceda94cd5089b7b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:53:43.873056Z","signature_b64":"E68uk6ckvLy3ZpHiLs9P+iniqmFoRGnMkNTT5Vydab0ccqq+aYuKVpRCLPSx3Q2Gj3YKyrBpf7p5kd9wIAVKBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61bbad40b6544aac5103f489229b9015aa16b2398624cb1efceda94cd5089b7b","last_reissued_at":"2026-07-05T03:53:43.872694Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:53:43.872694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.10653","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:53:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bJqe5TCUUI3XqheRurf3RAAANbg5OCEMnIU9ftbzq73tC6Msd5bIqfvb/ETaH3ed1wcgQMUDwGOuwT3BTLugBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:50:36.076085Z"},"content_sha256":"ad501248b0b346b1e21256e0771c4574163520b9df32691c80266205c334b5c1","schema_version":"1.0","event_id":"sha256:ad501248b0b346b1e21256e0771c4574163520b9df32691c80266205c334b5c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:MG522QFWKRFKYUID6SESFG4QCW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Accounting for Unobserved Confounding in Domain Generalization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Alexis Bellot, Mihaela van der Schaar","submitted_at":"2020-07-21T08:18:06Z","abstract_excerpt":"This paper investigates the problem of learning robust, generalizable prediction models from a combination of multiple datasets and qualitative assumptions about the underlying data-generating model. Part of the challenge of learning robust models lies in the influence of unobserved confounders that void many of the invariances and principles of minimum error presently used for this problem. Our approach is to define a different invariance property of causal solutions in the presence of unobserved confounders which, through a relaxation of this invariance, can be connected with an explicit dis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.10653","kind":"arxiv","version":6},"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/2007.10653/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":"2026-07-05T03:53:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"muLDhEI2Zt0jTTdoIf/5OfnbhBKdbScrTCE296xr8AZ9loLo3Vg8e9kL4HopEC9BACOV39+VKkyR29l6J07HBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:50:36.076588Z"},"content_sha256":"02d63ea30a0c4af0500ba0fcbd7f1355706e9b083efd6336516d4f45752f0644","schema_version":"1.0","event_id":"sha256:02d63ea30a0c4af0500ba0fcbd7f1355706e9b083efd6336516d4f45752f0644"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MG522QFWKRFKYUID6SESFG4QCW/bundle.json","state_url":"https://pith.science/pith/MG522QFWKRFKYUID6SESFG4QCW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MG522QFWKRFKYUID6SESFG4QCW/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":"2026-08-07T17:50:36Z","links":{"resolver":"https://pith.science/pith/MG522QFWKRFKYUID6SESFG4QCW","bundle":"https://pith.science/pith/MG522QFWKRFKYUID6SESFG4QCW/bundle.json","state":"https://pith.science/pith/MG522QFWKRFKYUID6SESFG4QCW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MG522QFWKRFKYUID6SESFG4QCW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:MG522QFWKRFKYUID6SESFG4QCW","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":"8fedd7cbccf334977303cdbab1bfef669795b86915aecb4ae2afda4736bbbbee","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-07-21T08:18:06Z","title_canon_sha256":"2b96e7144181db501dcb973383f951c80ae664e6c941b0e21940f3195dd03c94"},"schema_version":"1.0","source":{"id":"2007.10653","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.10653","created_at":"2026-07-05T03:53:43Z"},{"alias_kind":"arxiv_version","alias_value":"2007.10653v6","created_at":"2026-07-05T03:53:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.10653","created_at":"2026-07-05T03:53:43Z"},{"alias_kind":"pith_short_12","alias_value":"MG522QFWKRFK","created_at":"2026-07-05T03:53:43Z"},{"alias_kind":"pith_short_16","alias_value":"MG522QFWKRFKYUID","created_at":"2026-07-05T03:53:43Z"},{"alias_kind":"pith_short_8","alias_value":"MG522QFW","created_at":"2026-07-05T03:53:43Z"}],"graph_snapshots":[{"event_id":"sha256:02d63ea30a0c4af0500ba0fcbd7f1355706e9b083efd6336516d4f45752f0644","target":"graph","created_at":"2026-07-05T03:53:43Z","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/2007.10653/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper investigates the problem of learning robust, generalizable prediction models from a combination of multiple datasets and qualitative assumptions about the underlying data-generating model. Part of the challenge of learning robust models lies in the influence of unobserved confounders that void many of the invariances and principles of minimum error presently used for this problem. Our approach is to define a different invariance property of causal solutions in the presence of unobserved confounders which, through a relaxation of this invariance, can be connected with an explicit dis","authors_text":"Alexis Bellot, Mihaela van der Schaar","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-07-21T08:18:06Z","title":"Accounting for Unobserved Confounding in Domain Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.10653","kind":"arxiv","version":6},"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:ad501248b0b346b1e21256e0771c4574163520b9df32691c80266205c334b5c1","target":"record","created_at":"2026-07-05T03:53:43Z","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":"8fedd7cbccf334977303cdbab1bfef669795b86915aecb4ae2afda4736bbbbee","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-07-21T08:18:06Z","title_canon_sha256":"2b96e7144181db501dcb973383f951c80ae664e6c941b0e21940f3195dd03c94"},"schema_version":"1.0","source":{"id":"2007.10653","kind":"arxiv","version":6}},"canonical_sha256":"61bbad40b6544aac5103f489229b9015aa16b2398624cb1efceda94cd5089b7b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61bbad40b6544aac5103f489229b9015aa16b2398624cb1efceda94cd5089b7b","first_computed_at":"2026-07-05T03:53:43.872694Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:53:43.872694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E68uk6ckvLy3ZpHiLs9P+iniqmFoRGnMkNTT5Vydab0ccqq+aYuKVpRCLPSx3Q2Gj3YKyrBpf7p5kd9wIAVKBg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:53:43.873056Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.10653","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad501248b0b346b1e21256e0771c4574163520b9df32691c80266205c334b5c1","sha256:02d63ea30a0c4af0500ba0fcbd7f1355706e9b083efd6336516d4f45752f0644"],"state_sha256":"8db8b81f2ae5beff7b921e2b117a34078882f3146e23ad5869abdd37c4ba0596"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MxJNexzohUtrdzS3zHQVE19O+fo64HoGk0ge1KP7LoOpYl2wcYG6yJjK77fBa1akOTW9NPiJYRluyLNw224mAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T17:50:36.081883Z","bundle_sha256":"030d46bcab17836b1a887694e64e73e0eae143b9d0de2a2b31976d12485cda8d"}}