{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:KBCW6QQVZVJBQKQJI5ODH364GZ","short_pith_number":"pith:KBCW6QQV","canonical_record":{"source":{"id":"1109.1402","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-09-07T09:48:15Z","cross_cats_sorted":["q-bio.MN"],"title_canon_sha256":"2b57eb05cae011992792a7071ed0afbd67a0543bd1adfbaa66687f8c8c8b0175","abstract_canon_sha256":"8baf72d7535756467c12dd275bb1d3ab915fb707f86e62b7d54af183c195efa0"},"schema_version":"1.0"},"canonical_sha256":"50456f4215cd52182a09475c33efdc365e615406cc3be54c725623ce5f503022","source":{"kind":"arxiv","id":"1109.1402","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1109.1402","created_at":"2026-05-18T04:13:55Z"},{"alias_kind":"arxiv_version","alias_value":"1109.1402v1","created_at":"2026-05-18T04:13:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1109.1402","created_at":"2026-05-18T04:13:55Z"},{"alias_kind":"pith_short_12","alias_value":"KBCW6QQVZVJB","created_at":"2026-05-18T12:26:32Z"},{"alias_kind":"pith_short_16","alias_value":"KBCW6QQVZVJBQKQJ","created_at":"2026-05-18T12:26:32Z"},{"alias_kind":"pith_short_8","alias_value":"KBCW6QQV","created_at":"2026-05-18T12:26:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:KBCW6QQVZVJBQKQJI5ODH364GZ","target":"record","payload":{"canonical_record":{"source":{"id":"1109.1402","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-09-07T09:48:15Z","cross_cats_sorted":["q-bio.MN"],"title_canon_sha256":"2b57eb05cae011992792a7071ed0afbd67a0543bd1adfbaa66687f8c8c8b0175","abstract_canon_sha256":"8baf72d7535756467c12dd275bb1d3ab915fb707f86e62b7d54af183c195efa0"},"schema_version":"1.0"},"canonical_sha256":"50456f4215cd52182a09475c33efdc365e615406cc3be54c725623ce5f503022","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:13:55.771393Z","signature_b64":"NEgTieCIoonJWGbrUqz1uwxO3ES7FbltNcVr7O5xsVCDTsQdUNAMxCjrB/Mgu0Jd//n6jUJbhEze5L30rux+AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50456f4215cd52182a09475c33efdc365e615406cc3be54c725623ce5f503022","last_reissued_at":"2026-05-18T04:13:55.770724Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:13:55.770724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1109.1402","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":"2026-05-18T04:13:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6ti0ESLHq/D6Uz1v30NBmcmFK7lCeND1O/r1ahC37yN4hf8Rb/hWmaFvyMFzGFWAI70PZBoh1u1rCRdFqbPJAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T17:35:42.284902Z"},"content_sha256":"84b8ab2afbacb2db6a2f80e479defa957025a25a2194f77c953cee26e444668e","schema_version":"1.0","event_id":"sha256:84b8ab2afbacb2db6a2f80e479defa957025a25a2194f77c953cee26e444668e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:KBCW6QQVZVJBQKQJI5ODH364GZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reverse engineering gene regulatory networks using approximate Bayesian computation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.MN"],"primary_cat":"stat.AP","authors_text":"Andrea Rau, Florence Jaffr\\'ezic, Jean-Louis Foulley, R.W. Doerge","submitted_at":"2011-09-07T09:48:15Z","abstract_excerpt":"Gene regulatory networks are collections of genes that interact with one other and with other substances in the cell. By measuring gene expression over time using high-throughput technologies, it may be possible to reverse engineer, or infer, the structure of the gene network involved in a particular cellular process. These gene expression data typically have a high dimensionality and a limited number of biological replicates and time points. Due to these issues and the complexity of biological systems, the problem of reverse engineering networks from gene expression data demands a specialized"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1109.1402","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":""},"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":"2026-05-18T04:13:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NKY/OW2lTulm37+892BuA4sA9iup9Evjc7s2NahMQoHimlUdnR6VZn9h5vaK44pIB4rCdr+J53zAVnXD5VgIDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T17:35:42.285257Z"},"content_sha256":"cdfce9abd3fa68a7ea4b0a467564b0daaca1118fc3ab8d1f369f9757c2261781","schema_version":"1.0","event_id":"sha256:cdfce9abd3fa68a7ea4b0a467564b0daaca1118fc3ab8d1f369f9757c2261781"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KBCW6QQVZVJBQKQJI5ODH364GZ/bundle.json","state_url":"https://pith.science/pith/KBCW6QQVZVJBQKQJI5ODH364GZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KBCW6QQVZVJBQKQJI5ODH364GZ/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":"2026-06-01T17:35:42Z","links":{"resolver":"https://pith.science/pith/KBCW6QQVZVJBQKQJI5ODH364GZ","bundle":"https://pith.science/pith/KBCW6QQVZVJBQKQJI5ODH364GZ/bundle.json","state":"https://pith.science/pith/KBCW6QQVZVJBQKQJI5ODH364GZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KBCW6QQVZVJBQKQJI5ODH364GZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:KBCW6QQVZVJBQKQJI5ODH364GZ","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":"8baf72d7535756467c12dd275bb1d3ab915fb707f86e62b7d54af183c195efa0","cross_cats_sorted":["q-bio.MN"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-09-07T09:48:15Z","title_canon_sha256":"2b57eb05cae011992792a7071ed0afbd67a0543bd1adfbaa66687f8c8c8b0175"},"schema_version":"1.0","source":{"id":"1109.1402","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1109.1402","created_at":"2026-05-18T04:13:55Z"},{"alias_kind":"arxiv_version","alias_value":"1109.1402v1","created_at":"2026-05-18T04:13:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1109.1402","created_at":"2026-05-18T04:13:55Z"},{"alias_kind":"pith_short_12","alias_value":"KBCW6QQVZVJB","created_at":"2026-05-18T12:26:32Z"},{"alias_kind":"pith_short_16","alias_value":"KBCW6QQVZVJBQKQJ","created_at":"2026-05-18T12:26:32Z"},{"alias_kind":"pith_short_8","alias_value":"KBCW6QQV","created_at":"2026-05-18T12:26:32Z"}],"graph_snapshots":[{"event_id":"sha256:cdfce9abd3fa68a7ea4b0a467564b0daaca1118fc3ab8d1f369f9757c2261781","target":"graph","created_at":"2026-05-18T04:13:55Z","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":"Gene regulatory networks are collections of genes that interact with one other and with other substances in the cell. By measuring gene expression over time using high-throughput technologies, it may be possible to reverse engineer, or infer, the structure of the gene network involved in a particular cellular process. These gene expression data typically have a high dimensionality and a limited number of biological replicates and time points. Due to these issues and the complexity of biological systems, the problem of reverse engineering networks from gene expression data demands a specialized","authors_text":"Andrea Rau, Florence Jaffr\\'ezic, Jean-Louis Foulley, R.W. Doerge","cross_cats":["q-bio.MN"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-09-07T09:48:15Z","title":"Reverse engineering gene regulatory networks using approximate Bayesian computation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1109.1402","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":"sha256:84b8ab2afbacb2db6a2f80e479defa957025a25a2194f77c953cee26e444668e","target":"record","created_at":"2026-05-18T04:13:55Z","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":"8baf72d7535756467c12dd275bb1d3ab915fb707f86e62b7d54af183c195efa0","cross_cats_sorted":["q-bio.MN"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-09-07T09:48:15Z","title_canon_sha256":"2b57eb05cae011992792a7071ed0afbd67a0543bd1adfbaa66687f8c8c8b0175"},"schema_version":"1.0","source":{"id":"1109.1402","kind":"arxiv","version":1}},"canonical_sha256":"50456f4215cd52182a09475c33efdc365e615406cc3be54c725623ce5f503022","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50456f4215cd52182a09475c33efdc365e615406cc3be54c725623ce5f503022","first_computed_at":"2026-05-18T04:13:55.770724Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:13:55.770724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NEgTieCIoonJWGbrUqz1uwxO3ES7FbltNcVr7O5xsVCDTsQdUNAMxCjrB/Mgu0Jd//n6jUJbhEze5L30rux+AQ==","signature_status":"signed_v1","signed_at":"2026-05-18T04:13:55.771393Z","signed_message":"canonical_sha256_bytes"},"source_id":"1109.1402","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:84b8ab2afbacb2db6a2f80e479defa957025a25a2194f77c953cee26e444668e","sha256:cdfce9abd3fa68a7ea4b0a467564b0daaca1118fc3ab8d1f369f9757c2261781"],"state_sha256":"314401ce2b5eea0aafab119e4bdccf28c70bd6d9974cc5b72145c787f1f1cdae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bmfuq3wfwmRPb0XVZx8+f39c8YG1+k7YlNSDNMa4ipCsG7gvNZ5Q/I8Mn1iY4+VBWkNGEikvxizOcuI0eCZXBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T17:35:42.287119Z","bundle_sha256":"94c18da2221265479a649a370bb23e59b969054d85c4cac085989a024e120ed8"}}