{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:7RZOYHFGEO7ZSEOYXK3QBRWGL5","short_pith_number":"pith:7RZOYHFG","canonical_record":{"source":{"id":"1311.6293","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2013-11-25T13:28:53Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"5b532581ed34a67bc79c6abe1e4bde3635c9bbb54a07adcf0c1c8d2147650f11","abstract_canon_sha256":"029c9746db40379830b27fbd9b7117e21a0a8ee7484d0771d1b368af53b2ad7b"},"schema_version":"1.0"},"canonical_sha256":"fc72ec1ca623bf9911d8bab700c6c65f44d349a926784e37b10463aad7bc4b55","source":{"kind":"arxiv","id":"1311.6293","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1311.6293","created_at":"2026-05-18T02:03:48Z"},{"alias_kind":"arxiv_version","alias_value":"1311.6293v3","created_at":"2026-05-18T02:03:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1311.6293","created_at":"2026-05-18T02:03:48Z"},{"alias_kind":"pith_short_12","alias_value":"7RZOYHFGEO7Z","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_16","alias_value":"7RZOYHFGEO7ZSEOY","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_8","alias_value":"7RZOYHFG","created_at":"2026-05-18T12:27:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:7RZOYHFGEO7ZSEOYXK3QBRWGL5","target":"record","payload":{"canonical_record":{"source":{"id":"1311.6293","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2013-11-25T13:28:53Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"5b532581ed34a67bc79c6abe1e4bde3635c9bbb54a07adcf0c1c8d2147650f11","abstract_canon_sha256":"029c9746db40379830b27fbd9b7117e21a0a8ee7484d0771d1b368af53b2ad7b"},"schema_version":"1.0"},"canonical_sha256":"fc72ec1ca623bf9911d8bab700c6c65f44d349a926784e37b10463aad7bc4b55","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:03:48.594517Z","signature_b64":"r3Ngh+973UUWt5rfihYqlJGFH6NrmumH4TBS3xwaTeB3zZtGCb+cP8IqHJeYiwuoH53L1+I8NKRMmlzSC5dhAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc72ec1ca623bf9911d8bab700c6c65f44d349a926784e37b10463aad7bc4b55","last_reissued_at":"2026-05-18T02:03:48.593794Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:03:48.593794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1311.6293","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":"2026-05-18T02:03:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Z0ur4b2D9EwDmAXtlQtGZ2oXqBPKG/YSwUoSGwHYC7vJF8RlhQsS5mm/z4swgklsv8ym3/1SzuYaG/qFzCvBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T01:17:15.112180Z"},"content_sha256":"f7dc1e2048354b4ef9522fd5c3f2e7af6e1af2a2005711bab8c0d5863a879bde","schema_version":"1.0","event_id":"sha256:f7dc1e2048354b4ef9522fd5c3f2e7af6e1af2a2005711bab8c0d5863a879bde"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:7RZOYHFGEO7ZSEOYXK3QBRWGL5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inferring tree causal models of cancer progression with probability raising","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Alex Graudenzi, Bud Mishra, Daniele Ramazzotti, Giancarlo Mauri, Giulio Caravagna, Loes Olde Loohuis, Marco Antoniotti","submitted_at":"2013-11-25T13:28:53Z","abstract_excerpt":"Existing techniques to reconstruct tree models of progression for accumulative processes, such as cancer, seek to estimate causation by combining correlation and a frequentist notion of temporal priority. In this paper, we define a novel theoretical framework called CAPRESE (CAncer PRogression Extraction with Single Edges) to reconstruct such models based on the notion of probabilistic causation defined by Suppes. We consider a general reconstruction setting complicated by the presence of noise in the data due to biological variation, as well as experimental or measurement errors. To improve t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1311.6293","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":"2026-05-18T02:03:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uw4iZuJ6jDnGaAalSvwqMNu4iHi3UF2PZOz6x4wPcuTA1Hq+lPx2+/XqKIrNi8EF3PynBvkrmylup+X3niPsAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T01:17:15.112546Z"},"content_sha256":"2118d4e5d50526db8fa197dfcce8fe33d8ed8a7fa8c7c507b3c26939e72fdf74","schema_version":"1.0","event_id":"sha256:2118d4e5d50526db8fa197dfcce8fe33d8ed8a7fa8c7c507b3c26939e72fdf74"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7RZOYHFGEO7ZSEOYXK3QBRWGL5/bundle.json","state_url":"https://pith.science/pith/7RZOYHFGEO7ZSEOYXK3QBRWGL5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7RZOYHFGEO7ZSEOYXK3QBRWGL5/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":"2026-05-28T01:17:15Z","links":{"resolver":"https://pith.science/pith/7RZOYHFGEO7ZSEOYXK3QBRWGL5","bundle":"https://pith.science/pith/7RZOYHFGEO7ZSEOYXK3QBRWGL5/bundle.json","state":"https://pith.science/pith/7RZOYHFGEO7ZSEOYXK3QBRWGL5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7RZOYHFGEO7ZSEOYXK3QBRWGL5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:7RZOYHFGEO7ZSEOYXK3QBRWGL5","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":"029c9746db40379830b27fbd9b7117e21a0a8ee7484d0771d1b368af53b2ad7b","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2013-11-25T13:28:53Z","title_canon_sha256":"5b532581ed34a67bc79c6abe1e4bde3635c9bbb54a07adcf0c1c8d2147650f11"},"schema_version":"1.0","source":{"id":"1311.6293","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1311.6293","created_at":"2026-05-18T02:03:48Z"},{"alias_kind":"arxiv_version","alias_value":"1311.6293v3","created_at":"2026-05-18T02:03:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1311.6293","created_at":"2026-05-18T02:03:48Z"},{"alias_kind":"pith_short_12","alias_value":"7RZOYHFGEO7Z","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_16","alias_value":"7RZOYHFGEO7ZSEOY","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_8","alias_value":"7RZOYHFG","created_at":"2026-05-18T12:27:36Z"}],"graph_snapshots":[{"event_id":"sha256:2118d4e5d50526db8fa197dfcce8fe33d8ed8a7fa8c7c507b3c26939e72fdf74","target":"graph","created_at":"2026-05-18T02:03:48Z","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"},"paper":{"abstract_excerpt":"Existing techniques to reconstruct tree models of progression for accumulative processes, such as cancer, seek to estimate causation by combining correlation and a frequentist notion of temporal priority. In this paper, we define a novel theoretical framework called CAPRESE (CAncer PRogression Extraction with Single Edges) to reconstruct such models based on the notion of probabilistic causation defined by Suppes. We consider a general reconstruction setting complicated by the presence of noise in the data due to biological variation, as well as experimental or measurement errors. To improve t","authors_text":"Alex Graudenzi, Bud Mishra, Daniele Ramazzotti, Giancarlo Mauri, Giulio Caravagna, Loes Olde Loohuis, Marco Antoniotti","cross_cats":["stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2013-11-25T13:28:53Z","title":"Inferring tree causal models of cancer progression with probability raising"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1311.6293","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:f7dc1e2048354b4ef9522fd5c3f2e7af6e1af2a2005711bab8c0d5863a879bde","target":"record","created_at":"2026-05-18T02:03:48Z","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":"029c9746db40379830b27fbd9b7117e21a0a8ee7484d0771d1b368af53b2ad7b","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2013-11-25T13:28:53Z","title_canon_sha256":"5b532581ed34a67bc79c6abe1e4bde3635c9bbb54a07adcf0c1c8d2147650f11"},"schema_version":"1.0","source":{"id":"1311.6293","kind":"arxiv","version":3}},"canonical_sha256":"fc72ec1ca623bf9911d8bab700c6c65f44d349a926784e37b10463aad7bc4b55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc72ec1ca623bf9911d8bab700c6c65f44d349a926784e37b10463aad7bc4b55","first_computed_at":"2026-05-18T02:03:48.593794Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:03:48.593794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r3Ngh+973UUWt5rfihYqlJGFH6NrmumH4TBS3xwaTeB3zZtGCb+cP8IqHJeYiwuoH53L1+I8NKRMmlzSC5dhAw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:03:48.594517Z","signed_message":"canonical_sha256_bytes"},"source_id":"1311.6293","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7dc1e2048354b4ef9522fd5c3f2e7af6e1af2a2005711bab8c0d5863a879bde","sha256:2118d4e5d50526db8fa197dfcce8fe33d8ed8a7fa8c7c507b3c26939e72fdf74"],"state_sha256":"759038eb13788c9104d79fc5a9580a59ab2f4e81956b49e2f48cf24da62bdbac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CdpL6HOy2SFAz1Uc4gEBY/3LqhV+jj9T8bHgOIci2mgNGLpFviB0BiaTEm9ay0a24Y0Q2Y+MXlHu6s1EtukYDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T01:17:15.114580Z","bundle_sha256":"eaafd9da7fd8becd1ede49f2117462b82b0c9cc47544dbcd84bd3b4c6464d1cb"}}