{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NFDMGV65TVUFVZOYZSTLTDC2W2","short_pith_number":"pith:NFDMGV65","canonical_record":{"source":{"id":"1701.01376","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.geo-ph","submitted_at":"2017-01-05T16:46:23Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"7d6ea78de8376f1fb729b8224e570b49168822db6f41bd5b49d316dfb8f85fa4","abstract_canon_sha256":"82bef5949aefd389467919eab97a42083f1981aa6bff8ac47312671777089f88"},"schema_version":"1.0"},"canonical_sha256":"6946c357dd9d685ae5d8cca6b98c5ab6b73c7cd8664c6963d10d532ae960439d","source":{"kind":"arxiv","id":"1701.01376","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.01376","created_at":"2026-05-18T00:53:19Z"},{"alias_kind":"arxiv_version","alias_value":"1701.01376v1","created_at":"2026-05-18T00:53:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.01376","created_at":"2026-05-18T00:53:19Z"},{"alias_kind":"pith_short_12","alias_value":"NFDMGV65TVUF","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NFDMGV65TVUFVZOY","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NFDMGV65","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NFDMGV65TVUFVZOYZSTLTDC2W2","target":"record","payload":{"canonical_record":{"source":{"id":"1701.01376","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.geo-ph","submitted_at":"2017-01-05T16:46:23Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"7d6ea78de8376f1fb729b8224e570b49168822db6f41bd5b49d316dfb8f85fa4","abstract_canon_sha256":"82bef5949aefd389467919eab97a42083f1981aa6bff8ac47312671777089f88"},"schema_version":"1.0"},"canonical_sha256":"6946c357dd9d685ae5d8cca6b98c5ab6b73c7cd8664c6963d10d532ae960439d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:53:19.804259Z","signature_b64":"VUfU4PNEOuHHPLQmwrK4QijWfLZsyXzH1GRN+bH/WTP9FZiV8XS9lUeaq9QnLLqaE/JBGv2ICKyU24thWmaODA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6946c357dd9d685ae5d8cca6b98c5ab6b73c7cd8664c6963d10d532ae960439d","last_reissued_at":"2026-05-18T00:53:19.803671Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:53:19.803671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1701.01376","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":"2026-05-18T00:53:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OdsN0lMH3A0tMgKiBEpbOiu+Fzhjhv3Tq1UGFCnGQy0kHXIsSsOsq4PWafP9tLc7QBPtaR0pnEEP8e3lXup5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T19:01:44.186992Z"},"content_sha256":"a0fe262c1692d5913f8fdd528f6920ceafe529383e7fcceeea8ea3829a252a8e","schema_version":"1.0","event_id":"sha256:a0fe262c1692d5913f8fdd528f6920ceafe529383e7fcceeea8ea3829a252a8e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NFDMGV65TVUFVZOYZSTLTDC2W2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Summary statistics from training images as prior information in probabilistic inversion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"physics.geo-ph","authors_text":"J. A. Vrugt, M. Sadegh, N. Linde, T. Lochb\\\"uhler","submitted_at":"2017-01-05T16:46:23Z","abstract_excerpt":"A strategy is presented to incorporate prior information from conceptual geological models in probabilistic inversion of geophysical data. The conceptual geological models are represented by multiple-point statistics training images (TIs) featuring the expected lithological units and structural patterns. Information from an ensemble of TI realizations is used in two different ways. First, dominant modes are identified by analysis of the frequency content in the realizations, which drastically reduces the model parameter space in the frequency-amplitude domain. Second, the distributions of glob"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.01376","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":"2026-05-18T00:53:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c9Q15fPSJnblg2SrgIcNLwi0jZ+xa0Up1CZvdUDwNnMTZ097F30soM8xwSICzppAFW/3s7UZPiLHCtlL/xCmAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T19:01:44.187355Z"},"content_sha256":"b9b4f8d37af0116f9af6f25400f487e10b7921ae8e55f5581e7c7d370681e43b","schema_version":"1.0","event_id":"sha256:b9b4f8d37af0116f9af6f25400f487e10b7921ae8e55f5581e7c7d370681e43b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NFDMGV65TVUFVZOYZSTLTDC2W2/bundle.json","state_url":"https://pith.science/pith/NFDMGV65TVUFVZOYZSTLTDC2W2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NFDMGV65TVUFVZOYZSTLTDC2W2/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":"2026-06-04T19:01:44Z","links":{"resolver":"https://pith.science/pith/NFDMGV65TVUFVZOYZSTLTDC2W2","bundle":"https://pith.science/pith/NFDMGV65TVUFVZOYZSTLTDC2W2/bundle.json","state":"https://pith.science/pith/NFDMGV65TVUFVZOYZSTLTDC2W2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NFDMGV65TVUFVZOYZSTLTDC2W2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NFDMGV65TVUFVZOYZSTLTDC2W2","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":"82bef5949aefd389467919eab97a42083f1981aa6bff8ac47312671777089f88","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.geo-ph","submitted_at":"2017-01-05T16:46:23Z","title_canon_sha256":"7d6ea78de8376f1fb729b8224e570b49168822db6f41bd5b49d316dfb8f85fa4"},"schema_version":"1.0","source":{"id":"1701.01376","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.01376","created_at":"2026-05-18T00:53:19Z"},{"alias_kind":"arxiv_version","alias_value":"1701.01376v1","created_at":"2026-05-18T00:53:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.01376","created_at":"2026-05-18T00:53:19Z"},{"alias_kind":"pith_short_12","alias_value":"NFDMGV65TVUF","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NFDMGV65TVUFVZOY","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NFDMGV65","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:b9b4f8d37af0116f9af6f25400f487e10b7921ae8e55f5581e7c7d370681e43b","target":"graph","created_at":"2026-05-18T00:53:19Z","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":"A strategy is presented to incorporate prior information from conceptual geological models in probabilistic inversion of geophysical data. The conceptual geological models are represented by multiple-point statistics training images (TIs) featuring the expected lithological units and structural patterns. Information from an ensemble of TI realizations is used in two different ways. First, dominant modes are identified by analysis of the frequency content in the realizations, which drastically reduces the model parameter space in the frequency-amplitude domain. Second, the distributions of glob","authors_text":"J. A. Vrugt, M. Sadegh, N. Linde, T. Lochb\\\"uhler","cross_cats":["stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.geo-ph","submitted_at":"2017-01-05T16:46:23Z","title":"Summary statistics from training images as prior information in probabilistic inversion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.01376","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:a0fe262c1692d5913f8fdd528f6920ceafe529383e7fcceeea8ea3829a252a8e","target":"record","created_at":"2026-05-18T00:53:19Z","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":"82bef5949aefd389467919eab97a42083f1981aa6bff8ac47312671777089f88","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.geo-ph","submitted_at":"2017-01-05T16:46:23Z","title_canon_sha256":"7d6ea78de8376f1fb729b8224e570b49168822db6f41bd5b49d316dfb8f85fa4"},"schema_version":"1.0","source":{"id":"1701.01376","kind":"arxiv","version":1}},"canonical_sha256":"6946c357dd9d685ae5d8cca6b98c5ab6b73c7cd8664c6963d10d532ae960439d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6946c357dd9d685ae5d8cca6b98c5ab6b73c7cd8664c6963d10d532ae960439d","first_computed_at":"2026-05-18T00:53:19.803671Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:53:19.803671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VUfU4PNEOuHHPLQmwrK4QijWfLZsyXzH1GRN+bH/WTP9FZiV8XS9lUeaq9QnLLqaE/JBGv2ICKyU24thWmaODA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:53:19.804259Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.01376","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a0fe262c1692d5913f8fdd528f6920ceafe529383e7fcceeea8ea3829a252a8e","sha256:b9b4f8d37af0116f9af6f25400f487e10b7921ae8e55f5581e7c7d370681e43b"],"state_sha256":"bca04d39e7d2d928702c5be961353e498024af4fe623dea18d8bb13c61bf78bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uCWZvHxJpKnhVRrD8VXPbdE1aZSs8iaFV9dRR29+s//1LUSzQsv9d0qR2qLJ9jqp0fLSZ3NwoqqS0t1MIj6cAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T19:01:44.189295Z","bundle_sha256":"fb5721d172f40d68c233608346688332556cf2c9d0cc4c96cb13e8e5bb3a961e"}}