{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EI5HEKMJBBI26TYYJXXZ7NMRM7","short_pith_number":"pith:EI5HEKMJ","canonical_record":{"source":{"id":"2502.00887","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.geo-ph","submitted_at":"2025-02-02T19:48:52Z","cross_cats_sorted":[],"title_canon_sha256":"dd9b78bc3af1d97929e93127c0439350243b4dd8624a6667f796a55380961269","abstract_canon_sha256":"fae2e75722d538e1cf4d0345dcfe3e2bd8847aaf35283f32092fb5cc22c35d45"},"schema_version":"1.0"},"canonical_sha256":"223a7229890851af4f184def9fb59167d90f61767c22f35f722ed592524ba22d","source":{"kind":"arxiv","id":"2502.00887","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00887","created_at":"2026-07-05T10:08:39Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00887v1","created_at":"2026-07-05T10:08:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00887","created_at":"2026-07-05T10:08:39Z"},{"alias_kind":"pith_short_12","alias_value":"EI5HEKMJBBI2","created_at":"2026-07-05T10:08:39Z"},{"alias_kind":"pith_short_16","alias_value":"EI5HEKMJBBI26TYY","created_at":"2026-07-05T10:08:39Z"},{"alias_kind":"pith_short_8","alias_value":"EI5HEKMJ","created_at":"2026-07-05T10:08:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EI5HEKMJBBI26TYYJXXZ7NMRM7","target":"record","payload":{"canonical_record":{"source":{"id":"2502.00887","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.geo-ph","submitted_at":"2025-02-02T19:48:52Z","cross_cats_sorted":[],"title_canon_sha256":"dd9b78bc3af1d97929e93127c0439350243b4dd8624a6667f796a55380961269","abstract_canon_sha256":"fae2e75722d538e1cf4d0345dcfe3e2bd8847aaf35283f32092fb5cc22c35d45"},"schema_version":"1.0"},"canonical_sha256":"223a7229890851af4f184def9fb59167d90f61767c22f35f722ed592524ba22d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:08:39.650379Z","signature_b64":"pWTqozLKc0H/4Zc/GOnnFpgZ+sX5ZBV/torib3U12qAa5t3ZVGfOLRYaGIgrtlPblynS1ViqWzddqFgq0MGSDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"223a7229890851af4f184def9fb59167d90f61767c22f35f722ed592524ba22d","last_reissued_at":"2026-07-05T10:08:39.649856Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:08:39.649856Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.00887","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":"2026-07-05T10:08:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/XNpmJdAj5As6F3wa8flv/TnZy/TJFBsFG6CtJR71hkCXfFWXgem/N4JQz680Ff97TX+WNgstO7TUm7lWp98CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T05:38:51.620560Z"},"content_sha256":"165665b7f631d40f46acac069d7382afa4111b2a7eb8a503fc840c0534739347","schema_version":"1.0","event_id":"sha256:165665b7f631d40f46acac069d7382afa4111b2a7eb8a503fc840c0534739347"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EI5HEKMJBBI26TYYJXXZ7NMRM7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Poststack Seismic Data Preconditioning via Dynamic Guided Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.geo-ph","authors_text":"Ana Mantilla-Dulcey, Henry Arguello, Javier Torres-Quintero, Jos\\'e Sanabria-G\\'omez, Luis Rodr\\'iguez-L\\'opez, Paul Goyes-Pe\\~nafiel","submitted_at":"2025-02-02T19:48:52Z","abstract_excerpt":"Seismic data preconditioning is essential for subsurface interpretation. It enhances signal quality while attenuating noise, improving the accuracy of geophysical tasks that would otherwise be biased by noise. Although classical poststack seismic data enhancement methods can effectively reduce noise, they rely on predefined statistical distributions, which often fail to capture the complexity of seismic noise. On the other hand, deep learning methods offer an alternative but require large and diverse data sets. Typically, static databases are used for training, introducing domain bias, and lim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00887","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/2502.00887/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":"2026-07-05T10:08:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+zL34fwnvHR7g9W25GBg4tmKr5aAmaJ5SADSnIz0umnBfGG+1GTaq+4e3c+6IximX3uxQZ9QZiq9APdBJ9g9DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T05:38:51.621076Z"},"content_sha256":"538f9c247722b0e7bffa5bec5df280defe0fe1e412ef0b9581430da6fab7ba6a","schema_version":"1.0","event_id":"sha256:538f9c247722b0e7bffa5bec5df280defe0fe1e412ef0b9581430da6fab7ba6a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EI5HEKMJBBI26TYYJXXZ7NMRM7/bundle.json","state_url":"https://pith.science/pith/EI5HEKMJBBI26TYYJXXZ7NMRM7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EI5HEKMJBBI26TYYJXXZ7NMRM7/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":"2026-08-22T05:38:51Z","links":{"resolver":"https://pith.science/pith/EI5HEKMJBBI26TYYJXXZ7NMRM7","bundle":"https://pith.science/pith/EI5HEKMJBBI26TYYJXXZ7NMRM7/bundle.json","state":"https://pith.science/pith/EI5HEKMJBBI26TYYJXXZ7NMRM7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EI5HEKMJBBI26TYYJXXZ7NMRM7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EI5HEKMJBBI26TYYJXXZ7NMRM7","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":"fae2e75722d538e1cf4d0345dcfe3e2bd8847aaf35283f32092fb5cc22c35d45","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.geo-ph","submitted_at":"2025-02-02T19:48:52Z","title_canon_sha256":"dd9b78bc3af1d97929e93127c0439350243b4dd8624a6667f796a55380961269"},"schema_version":"1.0","source":{"id":"2502.00887","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00887","created_at":"2026-07-05T10:08:39Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00887v1","created_at":"2026-07-05T10:08:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00887","created_at":"2026-07-05T10:08:39Z"},{"alias_kind":"pith_short_12","alias_value":"EI5HEKMJBBI2","created_at":"2026-07-05T10:08:39Z"},{"alias_kind":"pith_short_16","alias_value":"EI5HEKMJBBI26TYY","created_at":"2026-07-05T10:08:39Z"},{"alias_kind":"pith_short_8","alias_value":"EI5HEKMJ","created_at":"2026-07-05T10:08:39Z"}],"graph_snapshots":[{"event_id":"sha256:538f9c247722b0e7bffa5bec5df280defe0fe1e412ef0b9581430da6fab7ba6a","target":"graph","created_at":"2026-07-05T10:08:39Z","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/2502.00887/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Seismic data preconditioning is essential for subsurface interpretation. It enhances signal quality while attenuating noise, improving the accuracy of geophysical tasks that would otherwise be biased by noise. Although classical poststack seismic data enhancement methods can effectively reduce noise, they rely on predefined statistical distributions, which often fail to capture the complexity of seismic noise. On the other hand, deep learning methods offer an alternative but require large and diverse data sets. Typically, static databases are used for training, introducing domain bias, and lim","authors_text":"Ana Mantilla-Dulcey, Henry Arguello, Javier Torres-Quintero, Jos\\'e Sanabria-G\\'omez, Luis Rodr\\'iguez-L\\'opez, Paul Goyes-Pe\\~nafiel","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.geo-ph","submitted_at":"2025-02-02T19:48:52Z","title":"Poststack Seismic Data Preconditioning via Dynamic Guided Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00887","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":"sha256:165665b7f631d40f46acac069d7382afa4111b2a7eb8a503fc840c0534739347","target":"record","created_at":"2026-07-05T10:08:39Z","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":"fae2e75722d538e1cf4d0345dcfe3e2bd8847aaf35283f32092fb5cc22c35d45","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.geo-ph","submitted_at":"2025-02-02T19:48:52Z","title_canon_sha256":"dd9b78bc3af1d97929e93127c0439350243b4dd8624a6667f796a55380961269"},"schema_version":"1.0","source":{"id":"2502.00887","kind":"arxiv","version":1}},"canonical_sha256":"223a7229890851af4f184def9fb59167d90f61767c22f35f722ed592524ba22d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"223a7229890851af4f184def9fb59167d90f61767c22f35f722ed592524ba22d","first_computed_at":"2026-07-05T10:08:39.649856Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:39.649856Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pWTqozLKc0H/4Zc/GOnnFpgZ+sX5ZBV/torib3U12qAa5t3ZVGfOLRYaGIgrtlPblynS1ViqWzddqFgq0MGSDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:39.650379Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.00887","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:165665b7f631d40f46acac069d7382afa4111b2a7eb8a503fc840c0534739347","sha256:538f9c247722b0e7bffa5bec5df280defe0fe1e412ef0b9581430da6fab7ba6a"],"state_sha256":"ef28fbcd7d3cb10d17b201e3da8be37f31a7d6bfb815758cfc44837ef1325bca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L7BlaPWpVy+EsMi1s2z7zgEBkYKFDbhVoVzW+M0CVf4I+0/jgy4v/rMzC6kroNHrCSH1e7jloOO9qkTeq9mCAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T05:38:51.626483Z","bundle_sha256":"25f8041dfac4bbad8c28cad598f26d12c981d95019201879027ee05de06a9232"}}