{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:3QDG6AK7V2Y3VR4537VELPRRGJ","short_pith_number":"pith:3QDG6AK7","canonical_record":{"source":{"id":"1704.03225","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-11T09:55:55Z","cross_cats_sorted":["cond-mat.mtrl-sci","physics.flu-dyn","physics.geo-ph"],"title_canon_sha256":"52b3fef19a76170f2f7619f0619758c32dda4a0ed4fff6dee52ab45c48db10e7","abstract_canon_sha256":"e21cbb59cdd80db202dbb32ff960938a92a9e810f1522d8f8ef98646b3e6c903"},"schema_version":"1.0"},"canonical_sha256":"dc066f015faeb1bac79ddfea45be31325ed4ac8ee60412b2b9de3ae32f226460","source":{"kind":"arxiv","id":"1704.03225","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.03225","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"arxiv_version","alias_value":"1704.03225v1","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.03225","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"pith_short_12","alias_value":"3QDG6AK7V2Y3","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3QDG6AK7V2Y3VR45","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3QDG6AK7","created_at":"2026-05-18T12:30:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:3QDG6AK7V2Y3VR4537VELPRRGJ","target":"record","payload":{"canonical_record":{"source":{"id":"1704.03225","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-11T09:55:55Z","cross_cats_sorted":["cond-mat.mtrl-sci","physics.flu-dyn","physics.geo-ph"],"title_canon_sha256":"52b3fef19a76170f2f7619f0619758c32dda4a0ed4fff6dee52ab45c48db10e7","abstract_canon_sha256":"e21cbb59cdd80db202dbb32ff960938a92a9e810f1522d8f8ef98646b3e6c903"},"schema_version":"1.0"},"canonical_sha256":"dc066f015faeb1bac79ddfea45be31325ed4ac8ee60412b2b9de3ae32f226460","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:41.338071Z","signature_b64":"cSv1BhfYDa9zPGZ8wJNRTTpqY0piajPBurNXJLeRjigPsAx/ZmR2KdXr3SAQ4vbq5gP9QwAr1lYZbWcJZsdiCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc066f015faeb1bac79ddfea45be31325ed4ac8ee60412b2b9de3ae32f226460","last_reissued_at":"2026-05-18T00:31:41.337570Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:41.337570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.03225","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":"2026-05-18T00:31:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6HNUgFV6Qjtr5xixT9t768BbP0Ner/lxN235UYS2hVZIvrX3nTaqYGRgB4h0WfDuMdFlPsZf794qeuwA7KmgAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T11:58:43.372177Z"},"content_sha256":"0b0083c08a85c55fa07627c4776fa0aa21247d99224c3363360c561937445498","schema_version":"1.0","event_id":"sha256:0b0083c08a85c55fa07627c4776fa0aa21247d99224c3363360c561937445498"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:3QDG6AK7V2Y3VR4537VELPRRGJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reconstruction of three-dimensional porous media using generative adversarial neural networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci","physics.flu-dyn","physics.geo-ph"],"primary_cat":"cs.CV","authors_text":"Lukas Mosser, Martin J. Blunt, Olivier Dubrule","submitted_at":"2017-04-11T09:55:55Z","abstract_excerpt":"To evaluate the variability of multi-phase flow properties of porous media at the pore scale, it is necessary to acquire a number of representative samples of the void-solid structure. While modern x-ray computer tomography has made it possible to extract three-dimensional images of the pore space, assessment of the variability in the inherent material properties is often experimentally not feasible. We present a novel method to reconstruct the solid-void structure of porous media by applying a generative neural network that allows an implicit description of the probability distribution repres"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.03225","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":"2026-05-18T00:31:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d2r2mc5zpCa3ufwvtIsyVZQwPI0Ubgs2ubzSiis8W8gtloPNfjl2Bv3rJDsQs8ncZ1ICe1C3eCRrvYir0d1NAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T11:58:43.372903Z"},"content_sha256":"af7c6d8217ee089912da73a102ff5f75bcbed6343cd5f37897310075d20c0bf2","schema_version":"1.0","event_id":"sha256:af7c6d8217ee089912da73a102ff5f75bcbed6343cd5f37897310075d20c0bf2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3QDG6AK7V2Y3VR4537VELPRRGJ/bundle.json","state_url":"https://pith.science/pith/3QDG6AK7V2Y3VR4537VELPRRGJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3QDG6AK7V2Y3VR4537VELPRRGJ/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":"2026-05-25T11:58:43Z","links":{"resolver":"https://pith.science/pith/3QDG6AK7V2Y3VR4537VELPRRGJ","bundle":"https://pith.science/pith/3QDG6AK7V2Y3VR4537VELPRRGJ/bundle.json","state":"https://pith.science/pith/3QDG6AK7V2Y3VR4537VELPRRGJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3QDG6AK7V2Y3VR4537VELPRRGJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:3QDG6AK7V2Y3VR4537VELPRRGJ","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":"e21cbb59cdd80db202dbb32ff960938a92a9e810f1522d8f8ef98646b3e6c903","cross_cats_sorted":["cond-mat.mtrl-sci","physics.flu-dyn","physics.geo-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-11T09:55:55Z","title_canon_sha256":"52b3fef19a76170f2f7619f0619758c32dda4a0ed4fff6dee52ab45c48db10e7"},"schema_version":"1.0","source":{"id":"1704.03225","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.03225","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"arxiv_version","alias_value":"1704.03225v1","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.03225","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"pith_short_12","alias_value":"3QDG6AK7V2Y3","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3QDG6AK7V2Y3VR45","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3QDG6AK7","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:af7c6d8217ee089912da73a102ff5f75bcbed6343cd5f37897310075d20c0bf2","target":"graph","created_at":"2026-05-18T00:31:41Z","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":"To evaluate the variability of multi-phase flow properties of porous media at the pore scale, it is necessary to acquire a number of representative samples of the void-solid structure. While modern x-ray computer tomography has made it possible to extract three-dimensional images of the pore space, assessment of the variability in the inherent material properties is often experimentally not feasible. We present a novel method to reconstruct the solid-void structure of porous media by applying a generative neural network that allows an implicit description of the probability distribution repres","authors_text":"Lukas Mosser, Martin J. Blunt, Olivier Dubrule","cross_cats":["cond-mat.mtrl-sci","physics.flu-dyn","physics.geo-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-11T09:55:55Z","title":"Reconstruction of three-dimensional porous media using generative adversarial neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.03225","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":"sha256:0b0083c08a85c55fa07627c4776fa0aa21247d99224c3363360c561937445498","target":"record","created_at":"2026-05-18T00:31:41Z","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":"e21cbb59cdd80db202dbb32ff960938a92a9e810f1522d8f8ef98646b3e6c903","cross_cats_sorted":["cond-mat.mtrl-sci","physics.flu-dyn","physics.geo-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-11T09:55:55Z","title_canon_sha256":"52b3fef19a76170f2f7619f0619758c32dda4a0ed4fff6dee52ab45c48db10e7"},"schema_version":"1.0","source":{"id":"1704.03225","kind":"arxiv","version":1}},"canonical_sha256":"dc066f015faeb1bac79ddfea45be31325ed4ac8ee60412b2b9de3ae32f226460","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc066f015faeb1bac79ddfea45be31325ed4ac8ee60412b2b9de3ae32f226460","first_computed_at":"2026-05-18T00:31:41.337570Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:31:41.337570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cSv1BhfYDa9zPGZ8wJNRTTpqY0piajPBurNXJLeRjigPsAx/ZmR2KdXr3SAQ4vbq5gP9QwAr1lYZbWcJZsdiCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:31:41.338071Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.03225","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0b0083c08a85c55fa07627c4776fa0aa21247d99224c3363360c561937445498","sha256:af7c6d8217ee089912da73a102ff5f75bcbed6343cd5f37897310075d20c0bf2"],"state_sha256":"c27536f04f23cf3522b1eb0c9a7e06130408b0c995de3cbb9a07d78501c43485"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"crNK9lIPiiYDPLMJAbQAo2qlsEQ0fG3UNHp/fTTGE1s549hMxzFC9l5zMSUjUy7DkGMOxvzlbW8KhoKR/9JNBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T11:58:43.376979Z","bundle_sha256":"32b221808110d993dc8a9feafd067d0bbbc728bf32dd17ac7cf8aba99c423c12"}}