{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:UXU2MKIREZ4O3B57S7Z2LH2Y3V","short_pith_number":"pith:UXU2MKIR","canonical_record":{"source":{"id":"2202.11987","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-24T09:50:02Z","cross_cats_sorted":[],"title_canon_sha256":"a4d0b8570b6d5270f9f2622327a5fb4031f169cef34ab7ba9089a0857ec458ea","abstract_canon_sha256":"3c1ad438e713828ea8e26df726c894ee70d4d899a3a05dbdfef540510f7f308a"},"schema_version":"1.0"},"canonical_sha256":"a5e9a629112678ed87bf97f3a59f58dd4a987774ca166c2efff48bdad001bbcc","source":{"kind":"arxiv","id":"2202.11987","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11987","created_at":"2026-07-05T03:59:48Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11987v1","created_at":"2026-07-05T03:59:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11987","created_at":"2026-07-05T03:59:48Z"},{"alias_kind":"pith_short_12","alias_value":"UXU2MKIREZ4O","created_at":"2026-07-05T03:59:48Z"},{"alias_kind":"pith_short_16","alias_value":"UXU2MKIREZ4O3B57","created_at":"2026-07-05T03:59:48Z"},{"alias_kind":"pith_short_8","alias_value":"UXU2MKIR","created_at":"2026-07-05T03:59:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:UXU2MKIREZ4O3B57S7Z2LH2Y3V","target":"record","payload":{"canonical_record":{"source":{"id":"2202.11987","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-24T09:50:02Z","cross_cats_sorted":[],"title_canon_sha256":"a4d0b8570b6d5270f9f2622327a5fb4031f169cef34ab7ba9089a0857ec458ea","abstract_canon_sha256":"3c1ad438e713828ea8e26df726c894ee70d4d899a3a05dbdfef540510f7f308a"},"schema_version":"1.0"},"canonical_sha256":"a5e9a629112678ed87bf97f3a59f58dd4a987774ca166c2efff48bdad001bbcc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:59:48.431222Z","signature_b64":"AWBxAR8fvTHMBJkabTWlTvghF8FL2Cm06nNkslQ3fxD87kBKz4o2pzA5T0C6YV6dk7RmjzqjOLnC42+/vlkeAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5e9a629112678ed87bf97f3a59f58dd4a987774ca166c2efff48bdad001bbcc","last_reissued_at":"2026-07-05T03:59:48.430751Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:59:48.430751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.11987","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":"2026-07-05T03:59:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jn9mgHcZl4grOKSZBOZzOFfbDJb21qKlPKIjEvZ5IebKL09TGo9nt5vy2eKs/7x3yYzNp+xEPB1XKVe3YIgTCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:38:57.602380Z"},"content_sha256":"10bd98e1a91ea0ef5af9aac3cfa1f6272d3e1dbaf42d6dda2f1d13591fe0e74b","schema_version":"1.0","event_id":"sha256:10bd98e1a91ea0ef5af9aac3cfa1f6272d3e1dbaf42d6dda2f1d13591fe0e74b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:UXU2MKIREZ4O3B57S7Z2LH2Y3V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting the impact of treatments over time with uncertainty aware neural differential equations","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Edward De Brouwer, Javier Gonz\\'alez Hern\\'andez, Stephanie Hyland","submitted_at":"2022-02-24T09:50:02Z","abstract_excerpt":"Predicting the impact of treatments from observational data only still represents a majorchallenge despite recent significant advances in time series modeling. Treatment assignments are usually correlated with the predictors of the response, resulting in a lack of data support for counterfactual predictions and therefore in poor quality estimates. Developments in causal inference have lead to methods addressing this confounding by requiring a minimum level of overlap. However,overlap is difficult to assess and usually notsatisfied in practice. In this work, we propose Counterfactual ODE (CF-OD"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11987","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2202.11987/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":"2026-07-05T03:59:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QZMrIo9FmtAw9uA3ZcbYUYa9ndfF8k9jdxH35b3nNhd2aFPDkDs2Hon0CHvopeERwl03auaf+UNE0D1uyonQCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:38:57.603050Z"},"content_sha256":"afc00be743ce3175991b8d9f38361b9ba0ef791ff6e707c7c493999c2a05cea6","schema_version":"1.0","event_id":"sha256:afc00be743ce3175991b8d9f38361b9ba0ef791ff6e707c7c493999c2a05cea6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UXU2MKIREZ4O3B57S7Z2LH2Y3V/bundle.json","state_url":"https://pith.science/pith/UXU2MKIREZ4O3B57S7Z2LH2Y3V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UXU2MKIREZ4O3B57S7Z2LH2Y3V/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":"2026-07-07T02:38:57Z","links":{"resolver":"https://pith.science/pith/UXU2MKIREZ4O3B57S7Z2LH2Y3V","bundle":"https://pith.science/pith/UXU2MKIREZ4O3B57S7Z2LH2Y3V/bundle.json","state":"https://pith.science/pith/UXU2MKIREZ4O3B57S7Z2LH2Y3V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UXU2MKIREZ4O3B57S7Z2LH2Y3V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:UXU2MKIREZ4O3B57S7Z2LH2Y3V","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":"3c1ad438e713828ea8e26df726c894ee70d4d899a3a05dbdfef540510f7f308a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-24T09:50:02Z","title_canon_sha256":"a4d0b8570b6d5270f9f2622327a5fb4031f169cef34ab7ba9089a0857ec458ea"},"schema_version":"1.0","source":{"id":"2202.11987","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11987","created_at":"2026-07-05T03:59:48Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11987v1","created_at":"2026-07-05T03:59:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11987","created_at":"2026-07-05T03:59:48Z"},{"alias_kind":"pith_short_12","alias_value":"UXU2MKIREZ4O","created_at":"2026-07-05T03:59:48Z"},{"alias_kind":"pith_short_16","alias_value":"UXU2MKIREZ4O3B57","created_at":"2026-07-05T03:59:48Z"},{"alias_kind":"pith_short_8","alias_value":"UXU2MKIR","created_at":"2026-07-05T03:59:48Z"}],"graph_snapshots":[{"event_id":"sha256:afc00be743ce3175991b8d9f38361b9ba0ef791ff6e707c7c493999c2a05cea6","target":"graph","created_at":"2026-07-05T03:59:48Z","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/2202.11987/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Predicting the impact of treatments from observational data only still represents a majorchallenge despite recent significant advances in time series modeling. Treatment assignments are usually correlated with the predictors of the response, resulting in a lack of data support for counterfactual predictions and therefore in poor quality estimates. Developments in causal inference have lead to methods addressing this confounding by requiring a minimum level of overlap. However,overlap is difficult to assess and usually notsatisfied in practice. In this work, we propose Counterfactual ODE (CF-OD","authors_text":"Edward De Brouwer, Javier Gonz\\'alez Hern\\'andez, Stephanie Hyland","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-24T09:50:02Z","title":"Predicting the impact of treatments over time with uncertainty aware neural differential equations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11987","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":"sha256:10bd98e1a91ea0ef5af9aac3cfa1f6272d3e1dbaf42d6dda2f1d13591fe0e74b","target":"record","created_at":"2026-07-05T03:59:48Z","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":"3c1ad438e713828ea8e26df726c894ee70d4d899a3a05dbdfef540510f7f308a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-24T09:50:02Z","title_canon_sha256":"a4d0b8570b6d5270f9f2622327a5fb4031f169cef34ab7ba9089a0857ec458ea"},"schema_version":"1.0","source":{"id":"2202.11987","kind":"arxiv","version":1}},"canonical_sha256":"a5e9a629112678ed87bf97f3a59f58dd4a987774ca166c2efff48bdad001bbcc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5e9a629112678ed87bf97f3a59f58dd4a987774ca166c2efff48bdad001bbcc","first_computed_at":"2026-07-05T03:59:48.430751Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:59:48.430751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AWBxAR8fvTHMBJkabTWlTvghF8FL2Cm06nNkslQ3fxD87kBKz4o2pzA5T0C6YV6dk7RmjzqjOLnC42+/vlkeAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:59:48.431222Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.11987","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:10bd98e1a91ea0ef5af9aac3cfa1f6272d3e1dbaf42d6dda2f1d13591fe0e74b","sha256:afc00be743ce3175991b8d9f38361b9ba0ef791ff6e707c7c493999c2a05cea6"],"state_sha256":"83ac948a726de0af63aa81f655c122448324e933def7853483d3126411678fe2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CgTIfFLTrfBcgcOIG9BQ658bmGS273W6tqaVxfrIZtyYs9rSBBlwfKIlp+A8kV7n572xk4TQDDcjbW66MmloCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T02:38:57.607876Z","bundle_sha256":"c6f8cefff222318242823b1672715c8a581fadfddbd2a61fa85efa0bb5e41090"}}