{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:L5PGQMUOA2435PUYSPCKAYLEMM","short_pith_number":"pith:L5PGQMUO","canonical_record":{"source":{"id":"2506.09832","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-06-11T15:10:41Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"946beb55c407a67c420a50793fe4c50a622f584498fc63cd6bae2d11d2dcdaa6","abstract_canon_sha256":"56bccf49d706c14fb6ffd5d9b2774503ff1633871208fc010476cfc419c89f55"},"schema_version":"1.0"},"canonical_sha256":"5f5e68328e06b9bebe9893c4a06164631e955911b4afd084f02d8b069521cf1d","source":{"kind":"arxiv","id":"2506.09832","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.09832","created_at":"2026-07-05T11:19:57Z"},{"alias_kind":"arxiv_version","alias_value":"2506.09832v1","created_at":"2026-07-05T11:19:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.09832","created_at":"2026-07-05T11:19:57Z"},{"alias_kind":"pith_short_12","alias_value":"L5PGQMUOA243","created_at":"2026-07-05T11:19:57Z"},{"alias_kind":"pith_short_16","alias_value":"L5PGQMUOA2435PUY","created_at":"2026-07-05T11:19:57Z"},{"alias_kind":"pith_short_8","alias_value":"L5PGQMUO","created_at":"2026-07-05T11:19:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:L5PGQMUOA2435PUYSPCKAYLEMM","target":"record","payload":{"canonical_record":{"source":{"id":"2506.09832","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-06-11T15:10:41Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"946beb55c407a67c420a50793fe4c50a622f584498fc63cd6bae2d11d2dcdaa6","abstract_canon_sha256":"56bccf49d706c14fb6ffd5d9b2774503ff1633871208fc010476cfc419c89f55"},"schema_version":"1.0"},"canonical_sha256":"5f5e68328e06b9bebe9893c4a06164631e955911b4afd084f02d8b069521cf1d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:57.629628Z","signature_b64":"sOsrmA8YU2xJFQdedL3gAyzGpvXxTeJw0ZYcF8blbK17bCpUFznGzmAMMRV+k0zcJ3Sh3SwgiierUtfRl3UqBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f5e68328e06b9bebe9893c4a06164631e955911b4afd084f02d8b069521cf1d","last_reissued_at":"2026-07-05T11:19:57.629172Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:57.629172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.09832","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":"2026-07-05T11:19:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cne807u1LYA1PuTkvdF1EtcYrV4a/FE3Xj9a8hsCRmJLMyzhTd22PBoe/BNA9nV7NTbRTKxBunH1rQoc2r9yDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:25:21.583719Z"},"content_sha256":"093a5f2374e0e4c5e68a932b89cbde8920485396450f30ad5934e257f6df01b4","schema_version":"1.0","event_id":"sha256:093a5f2374e0e4c5e68a932b89cbde8920485396450f30ad5934e257f6df01b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:L5PGQMUOA2435PUYSPCKAYLEMM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Deep Generative Model for the Simulation of Discrete Karst Networks","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Dany Lauzon, Julien Straubhaar, Philippe Renard","submitted_at":"2025-06-11T15:10:41Z","abstract_excerpt":"The simulation of discrete karst networks presents a significant challenge due to the complexity of the physicochemical processes occurring within various geological and hydrogeological contexts over extended periods. This complex interplay leads to a wide variety of karst network patterns, each intricately linked to specific hydrogeological conditions. We explore a novel approach that represents karst networks as graphs and applies graph generative models (deep learning techniques) to capture the intricate nature of karst environments. In this representation, nodes retain spatial information "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.09832","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/2506.09832/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":"2026-07-05T11:19:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WTv2DhWP6jzNCewNVSNOwshm0VPupuhtCRQrz2VZ4nVCI0O7K8m9tlfnzfss9BWal6HFDT6iPL9/WTJgBE7zDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:25:21.584283Z"},"content_sha256":"e4211e4100e98f2ca58d90695cfacbf18b918fd372745cfb8551e2b17caed1e2","schema_version":"1.0","event_id":"sha256:e4211e4100e98f2ca58d90695cfacbf18b918fd372745cfb8551e2b17caed1e2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L5PGQMUOA2435PUYSPCKAYLEMM/bundle.json","state_url":"https://pith.science/pith/L5PGQMUOA2435PUYSPCKAYLEMM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L5PGQMUOA2435PUYSPCKAYLEMM/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":"2026-08-07T21:25:21Z","links":{"resolver":"https://pith.science/pith/L5PGQMUOA2435PUYSPCKAYLEMM","bundle":"https://pith.science/pith/L5PGQMUOA2435PUYSPCKAYLEMM/bundle.json","state":"https://pith.science/pith/L5PGQMUOA2435PUYSPCKAYLEMM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L5PGQMUOA2435PUYSPCKAYLEMM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:L5PGQMUOA2435PUYSPCKAYLEMM","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":"56bccf49d706c14fb6ffd5d9b2774503ff1633871208fc010476cfc419c89f55","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-06-11T15:10:41Z","title_canon_sha256":"946beb55c407a67c420a50793fe4c50a622f584498fc63cd6bae2d11d2dcdaa6"},"schema_version":"1.0","source":{"id":"2506.09832","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.09832","created_at":"2026-07-05T11:19:57Z"},{"alias_kind":"arxiv_version","alias_value":"2506.09832v1","created_at":"2026-07-05T11:19:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.09832","created_at":"2026-07-05T11:19:57Z"},{"alias_kind":"pith_short_12","alias_value":"L5PGQMUOA243","created_at":"2026-07-05T11:19:57Z"},{"alias_kind":"pith_short_16","alias_value":"L5PGQMUOA2435PUY","created_at":"2026-07-05T11:19:57Z"},{"alias_kind":"pith_short_8","alias_value":"L5PGQMUO","created_at":"2026-07-05T11:19:57Z"}],"graph_snapshots":[{"event_id":"sha256:e4211e4100e98f2ca58d90695cfacbf18b918fd372745cfb8551e2b17caed1e2","target":"graph","created_at":"2026-07-05T11:19:57Z","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/2506.09832/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The simulation of discrete karst networks presents a significant challenge due to the complexity of the physicochemical processes occurring within various geological and hydrogeological contexts over extended periods. This complex interplay leads to a wide variety of karst network patterns, each intricately linked to specific hydrogeological conditions. We explore a novel approach that represents karst networks as graphs and applies graph generative models (deep learning techniques) to capture the intricate nature of karst environments. In this representation, nodes retain spatial information ","authors_text":"Dany Lauzon, Julien Straubhaar, Philippe Renard","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-06-11T15:10:41Z","title":"A Deep Generative Model for the Simulation of Discrete Karst Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.09832","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":"sha256:093a5f2374e0e4c5e68a932b89cbde8920485396450f30ad5934e257f6df01b4","target":"record","created_at":"2026-07-05T11:19:57Z","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":"56bccf49d706c14fb6ffd5d9b2774503ff1633871208fc010476cfc419c89f55","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-06-11T15:10:41Z","title_canon_sha256":"946beb55c407a67c420a50793fe4c50a622f584498fc63cd6bae2d11d2dcdaa6"},"schema_version":"1.0","source":{"id":"2506.09832","kind":"arxiv","version":1}},"canonical_sha256":"5f5e68328e06b9bebe9893c4a06164631e955911b4afd084f02d8b069521cf1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f5e68328e06b9bebe9893c4a06164631e955911b4afd084f02d8b069521cf1d","first_computed_at":"2026-07-05T11:19:57.629172Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:57.629172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sOsrmA8YU2xJFQdedL3gAyzGpvXxTeJw0ZYcF8blbK17bCpUFznGzmAMMRV+k0zcJ3Sh3SwgiierUtfRl3UqBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:57.629628Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.09832","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:093a5f2374e0e4c5e68a932b89cbde8920485396450f30ad5934e257f6df01b4","sha256:e4211e4100e98f2ca58d90695cfacbf18b918fd372745cfb8551e2b17caed1e2"],"state_sha256":"27ee72324273ebcee125077aa73a4bbdc038fd431ac8b1718384753aac93f408"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pZIi4iUY7e3HrqMw/zQLzyCRX9IeBSa6gUkLATDS59TZvsfwBgK3Sn0w3p27KEbnly56Jc/d09oQ9hWcStcUAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:25:21.589154Z","bundle_sha256":"b66e0b578dd9f8ce459f9868a2c0cade0f97c650181f1db94c182cfc738b23dc"}}