{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RDAJB3NBLXC63K7S6FV7USKUDX","short_pith_number":"pith:RDAJB3NB","canonical_record":{"source":{"id":"2404.16324","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2024-04-25T04:21:56Z","cross_cats_sorted":["cs.LG","cs.NA","eess.SP"],"title_canon_sha256":"9dde52cf4b529f34930c67c2e7ea73693f01fcee548844f3b314dcb59885d4f9","abstract_canon_sha256":"6f147c65f33158e226035938c226c59a88616bcc8407e5c21d76f5cd3aeaceb9"},"schema_version":"1.0"},"canonical_sha256":"88c090eda15dc5edabf2f16bfa49541de528cdf4aae1c819c222b59d80042605","source":{"kind":"arxiv","id":"2404.16324","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16324","created_at":"2026-07-05T10:50:29Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16324v2","created_at":"2026-07-05T10:50:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16324","created_at":"2026-07-05T10:50:29Z"},{"alias_kind":"pith_short_12","alias_value":"RDAJB3NBLXC6","created_at":"2026-07-05T10:50:29Z"},{"alias_kind":"pith_short_16","alias_value":"RDAJB3NBLXC63K7S","created_at":"2026-07-05T10:50:29Z"},{"alias_kind":"pith_short_8","alias_value":"RDAJB3NB","created_at":"2026-07-05T10:50:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RDAJB3NBLXC63K7S6FV7USKUDX","target":"record","payload":{"canonical_record":{"source":{"id":"2404.16324","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2024-04-25T04:21:56Z","cross_cats_sorted":["cs.LG","cs.NA","eess.SP"],"title_canon_sha256":"9dde52cf4b529f34930c67c2e7ea73693f01fcee548844f3b314dcb59885d4f9","abstract_canon_sha256":"6f147c65f33158e226035938c226c59a88616bcc8407e5c21d76f5cd3aeaceb9"},"schema_version":"1.0"},"canonical_sha256":"88c090eda15dc5edabf2f16bfa49541de528cdf4aae1c819c222b59d80042605","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:50:29.691745Z","signature_b64":"CpSeRFffqvnEAt3GCV9/wBvCSWjUMR6zvcBxEcHlXTrfcv/gKyi77PMynzInHHP+ZLisn8lMw57gK24+ehr7BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"88c090eda15dc5edabf2f16bfa49541de528cdf4aae1c819c222b59d80042605","last_reissued_at":"2026-07-05T10:50:29.691183Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:50:29.691183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.16324","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:50:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m/HJWWNdZiB+/qUWsmPrRfeDtxuKDv8o6AqDj3jjVw6V2VXfzkd6Jl5AzvYNrKGZbi9e9cwhEoUIKSeX5jOmBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T16:07:08.307871Z"},"content_sha256":"d9c3e42e7d1ba2aec07487c173bc1e9b377f74b27db5334bda87a9658ea95f82","schema_version":"1.0","event_id":"sha256:d9c3e42e7d1ba2aec07487c173bc1e9b377f74b27db5334bda87a9658ea95f82"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RDAJB3NBLXC63K7S6FV7USKUDX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improved impedance inversion by the iterated graph Laplacian","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.NA","eess.SP"],"primary_cat":"math.NA","authors_text":"Davide Bianchi, Florian Bossmann, Mingming Liu, Wenlong Wang","submitted_at":"2024-04-25T04:21:56Z","abstract_excerpt":"We introduce a data-adaptive inversion method that integrates classical or deep learning-based approaches with iterative graph Laplacian regularization, specifically targeting acoustic impedance inversion - a critical task in seismic exploration. Our method initiates from an impedance estimate derived using either traditional inversion techniques or neural network-based methods. This initial estimate guides the construction of a graph Laplacian operator, effectively capturing structural characteristics of the impedance profile. Utilizing a Tikhonov-inspired variational framework with this grap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16324","kind":"arxiv","version":2},"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/2404.16324/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":"2026-07-05T10:50:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7nIxuX17R/esM8Qcnwys05fc/u7suuguFGkAf5xQCUhO6rStF3KTdNbiMdLydWmQWVn2qcTFhtBaa+CEIjglCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T16:07:08.308385Z"},"content_sha256":"cc40ab8ce965f6df005fe386d4cc1810f3c3cb49a417694063ca903282d7ac90","schema_version":"1.0","event_id":"sha256:cc40ab8ce965f6df005fe386d4cc1810f3c3cb49a417694063ca903282d7ac90"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RDAJB3NBLXC63K7S6FV7USKUDX/bundle.json","state_url":"https://pith.science/pith/RDAJB3NBLXC63K7S6FV7USKUDX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RDAJB3NBLXC63K7S6FV7USKUDX/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":"2026-08-19T16:07:08Z","links":{"resolver":"https://pith.science/pith/RDAJB3NBLXC63K7S6FV7USKUDX","bundle":"https://pith.science/pith/RDAJB3NBLXC63K7S6FV7USKUDX/bundle.json","state":"https://pith.science/pith/RDAJB3NBLXC63K7S6FV7USKUDX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RDAJB3NBLXC63K7S6FV7USKUDX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RDAJB3NBLXC63K7S6FV7USKUDX","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":"6f147c65f33158e226035938c226c59a88616bcc8407e5c21d76f5cd3aeaceb9","cross_cats_sorted":["cs.LG","cs.NA","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2024-04-25T04:21:56Z","title_canon_sha256":"9dde52cf4b529f34930c67c2e7ea73693f01fcee548844f3b314dcb59885d4f9"},"schema_version":"1.0","source":{"id":"2404.16324","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16324","created_at":"2026-07-05T10:50:29Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16324v2","created_at":"2026-07-05T10:50:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16324","created_at":"2026-07-05T10:50:29Z"},{"alias_kind":"pith_short_12","alias_value":"RDAJB3NBLXC6","created_at":"2026-07-05T10:50:29Z"},{"alias_kind":"pith_short_16","alias_value":"RDAJB3NBLXC63K7S","created_at":"2026-07-05T10:50:29Z"},{"alias_kind":"pith_short_8","alias_value":"RDAJB3NB","created_at":"2026-07-05T10:50:29Z"}],"graph_snapshots":[{"event_id":"sha256:cc40ab8ce965f6df005fe386d4cc1810f3c3cb49a417694063ca903282d7ac90","target":"graph","created_at":"2026-07-05T10:50:29Z","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/2404.16324/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a data-adaptive inversion method that integrates classical or deep learning-based approaches with iterative graph Laplacian regularization, specifically targeting acoustic impedance inversion - a critical task in seismic exploration. Our method initiates from an impedance estimate derived using either traditional inversion techniques or neural network-based methods. This initial estimate guides the construction of a graph Laplacian operator, effectively capturing structural characteristics of the impedance profile. Utilizing a Tikhonov-inspired variational framework with this grap","authors_text":"Davide Bianchi, Florian Bossmann, Mingming Liu, Wenlong Wang","cross_cats":["cs.LG","cs.NA","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2024-04-25T04:21:56Z","title":"Improved impedance inversion by the iterated graph Laplacian"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16324","kind":"arxiv","version":2},"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:d9c3e42e7d1ba2aec07487c173bc1e9b377f74b27db5334bda87a9658ea95f82","target":"record","created_at":"2026-07-05T10:50:29Z","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":"6f147c65f33158e226035938c226c59a88616bcc8407e5c21d76f5cd3aeaceb9","cross_cats_sorted":["cs.LG","cs.NA","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2024-04-25T04:21:56Z","title_canon_sha256":"9dde52cf4b529f34930c67c2e7ea73693f01fcee548844f3b314dcb59885d4f9"},"schema_version":"1.0","source":{"id":"2404.16324","kind":"arxiv","version":2}},"canonical_sha256":"88c090eda15dc5edabf2f16bfa49541de528cdf4aae1c819c222b59d80042605","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88c090eda15dc5edabf2f16bfa49541de528cdf4aae1c819c222b59d80042605","first_computed_at":"2026-07-05T10:50:29.691183Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:50:29.691183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CpSeRFffqvnEAt3GCV9/wBvCSWjUMR6zvcBxEcHlXTrfcv/gKyi77PMynzInHHP+ZLisn8lMw57gK24+ehr7BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:50:29.691745Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.16324","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d9c3e42e7d1ba2aec07487c173bc1e9b377f74b27db5334bda87a9658ea95f82","sha256:cc40ab8ce965f6df005fe386d4cc1810f3c3cb49a417694063ca903282d7ac90"],"state_sha256":"ef727e5eb8a209c2d079734649ca168538a5aa0a22664a0b6f801113696fc7bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TOGeMZxLkwTci0zF1a3KMlM7H0/7LdjiEhTy+PKOZm52EvmHO9ZBjIKb/7qSIeOj0YWZe8i9Kdjwwnwz/DXmBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T16:07:08.314774Z","bundle_sha256":"23bd4d09f2388534339ce74aa600003cb8939cd24276d23bb0168c8a20faa31a"}}