{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XXAW7GBZFFL3SM7WHGCPSGVOOX","short_pith_number":"pith:XXAW7GBZ","canonical_record":{"source":{"id":"2607.11576","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2026-07-13T13:57:46Z","cross_cats_sorted":["cs.NA"],"title_canon_sha256":"a0cceaadc5421b56401c9699a2a54c6a34a3d555197a9b21fb7ed049597cfe40","abstract_canon_sha256":"b9c485d89db4b88a3c2424ab8c5eca9ae0a4b52d54966cc5233270955d7beaa3"},"schema_version":"1.0"},"canonical_sha256":"bdc16f98392957b933f63984f91aae75e28ff6c458b4e20e2c605806495747ad","source":{"kind":"arxiv","id":"2607.11576","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11576","created_at":"2026-07-14T02:22:12Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11576v1","created_at":"2026-07-14T02:22:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11576","created_at":"2026-07-14T02:22:12Z"},{"alias_kind":"pith_short_12","alias_value":"XXAW7GBZFFL3","created_at":"2026-07-14T02:22:12Z"},{"alias_kind":"pith_short_16","alias_value":"XXAW7GBZFFL3SM7W","created_at":"2026-07-14T02:22:12Z"},{"alias_kind":"pith_short_8","alias_value":"XXAW7GBZ","created_at":"2026-07-14T02:22:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XXAW7GBZFFL3SM7WHGCPSGVOOX","target":"record","payload":{"canonical_record":{"source":{"id":"2607.11576","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2026-07-13T13:57:46Z","cross_cats_sorted":["cs.NA"],"title_canon_sha256":"a0cceaadc5421b56401c9699a2a54c6a34a3d555197a9b21fb7ed049597cfe40","abstract_canon_sha256":"b9c485d89db4b88a3c2424ab8c5eca9ae0a4b52d54966cc5233270955d7beaa3"},"schema_version":"1.0"},"canonical_sha256":"bdc16f98392957b933f63984f91aae75e28ff6c458b4e20e2c605806495747ad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T02:22:12.982575Z","signature_b64":"ZNMqHiYuDH9uFYaYhKyTR6rRi9+qvVLbhEDJ/wWKQSG/ZOxcVJhmIMKwEZDm3lUagZZKWfPfd/qIoXvYWw8yDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bdc16f98392957b933f63984f91aae75e28ff6c458b4e20e2c605806495747ad","last_reissued_at":"2026-07-14T02:22:12.981714Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T02:22:12.981714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.11576","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":"2026-07-14T02:22:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y+UrbCb7PG1xyeAgvOFEt1qfyszsYFCuXepBakeTX161G9waR0cRhfZWqXmlFR+fKngYj4/eTAJQwwWWyh82Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:09:25.311429Z"},"content_sha256":"c897f0322d6545fa7ce9090024924cbc6139c9d91d13bf1c89bff90d36489859","schema_version":"1.0","event_id":"sha256:c897f0322d6545fa7ce9090024924cbc6139c9d91d13bf1c89bff90d36489859"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XXAW7GBZFFL3SM7WHGCPSGVOOX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Physics-Informed Neural Networks for the High-Resolution Reconstruction of Flow Measurement Indicators in Fluid Dynamics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.NA"],"primary_cat":"math.NA","authors_text":"Alberto Zingaro, Irena Radi\\v{s}i\\'c, Luca Dede', Raffaele Tirotta, Stefano Pagani","submitted_at":"2026-07-13T13:57:46Z","abstract_excerpt":"Accurate, spatially resolved flow field measurements are essential for the reliable assessment of hemodynamic quantities in cardiovascular research and clinical practice. Experimental techniques, such as 4D flow MRI, PIV, or Doppler ultrasound, often yield data that are sparse, noisy, or under-resolved, particularly near vessel walls and in regions of complex flow. This limits the fidelity of distributed or derived hemodynamic indicators such as the wall shear stress and the clinical utility of such measurements. To address these challenges, we propose a physics-informed neural network (PINN) "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11576","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/2607.11576/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":"2026-07-14T02:22:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kM47GBMvkJ9QpOslyTkm0kzYkLFpj11A4oShYyxZgYo7t2E2buUUDGjP4VeK7L/3IxwF+J1+R37fSYrnt09LDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:09:25.312214Z"},"content_sha256":"c1f612b1bc7b6e58bea12aacd7526a9c585d939ed0c1fef7d352146ef8a5ae14","schema_version":"1.0","event_id":"sha256:c1f612b1bc7b6e58bea12aacd7526a9c585d939ed0c1fef7d352146ef8a5ae14"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:XXAW7GBZFFL3SM7WHGCPSGVOOX","target":"integrity","payload":{"note":"Identifier '10.1515/jnma-2024-0137/html' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"P. C. Africa, D. Arndt, W. Bangerth, B. Blais, M. Fehling, R. Gassmöller, T. Heister, L. Heltai, S. Kinnewig, M. Kronbichler, M. Maier, P. Munch, M. Schreter-Fleischhacker, J. P. Thiele, B. Tur- cksin, D. Wells, V. Yushutin, The deal.II lib","arxiv_id":"2607.11576","detector":"doi_compliance","evidence":{"doi":"10.1515/jnma-2024-0137/html","arxiv_id":null,"ref_index":44,"raw_excerpt":"P. C. Africa, D. Arndt, W. Bangerth, B. Blais, M. Fehling, R. Gassmöller, T. Heister, L. Heltai, S. Kinnewig, M. Kronbichler, M. Maier, P. Munch, M. Schreter-Fleischhacker, J. P. Thiele, B. Tur- cksin, D. Wells, V. Yushutin, The deal.II library, Version 9.6, Journal of Numerical Mathematics 32 (2024) 369–380. URL:https://www.degruyter.com/document/doi/10.1515/jnma-2024-0137/html. doi:10.1515/jnma-","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":44,"audited_at":"2026-07-30T08:23:05.590023Z","event_type":"pith.integrity.v1","detected_doi":"10.1515/jnma-2024-0137/html","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"5059c05e74a2e8b9481213b179c6379f42eedc35610bb0c72fbbcd2117b76c6c","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13842,"payload_sha256":"31d85cb16d9f0b533ce492bfb025f18952ec69f7a67415d61ba8c049871a35ac","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T08:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"biwxbdPIxF2rR3HQDc0ycYsyYmtTwt5hP5OjPj4n1cSFHhK7hu8n1HbXJHfQgJz0VX26bQaDu2ycF8UhGD2/Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:09:25.317559Z"},"content_sha256":"7a1b30efc09c491fec9095ba2f36a9c2267476662724020703782fae70451bdd","schema_version":"1.0","event_id":"sha256:7a1b30efc09c491fec9095ba2f36a9c2267476662724020703782fae70451bdd"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:XXAW7GBZFFL3SM7WHGCPSGVOOX","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1515/jnma-2024-0137/html.doi:10.1515/jnma-2024-0137) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"P. C. Africa, D. Arndt, W. Bangerth, B. Blais, M. Fehling, R. Gassmöller, T. Heister, L. Heltai, S. Kinnewig, M. Kronbichler, M. Maier, P. Munch, M. Schreter-Fleischhacker, J. P. Thiele, B. Tur- cksin, D. Wells, V. Yushutin, The deal.II lib","arxiv_id":"2607.11576","detector":"doi_compliance","evidence":{"ref_index":44,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"P. C. Africa, D. Arndt, W. Bangerth, B. Blais, M. Fehling, R. Gassmöller, T. Heister, L. Heltai, S. Kinnewig, M. Kronbichler, M. Maier, P. Munch, M. Schreter-Fleischhacker, J. P. Thiele, B. Tur- cksin, D. Wells, V. Yushutin, The deal.II lib","reconstructed_doi":"10.1515/jnma-2024-0137/html.doi:10.1515/jnma-2024-0137"},"severity":"advisory","ref_index":44,"audited_at":"2026-07-14T04:46:12.540774Z","event_type":"pith.integrity.v1","detected_doi":"10.1515/jnma-2024-0137/html.doi:10.1515/jnma-2024-0137","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"e3eb0b99c626df1bf36165a941d58b19992f14e3f1a8dadbdce87434fb579c3b","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":13128,"payload_sha256":"b6d40c547773216833648ec148216fb4cb10315f051aea1fcd2f5b6b34468963","signature_b64":"Q+YsY5B8E0/ixMnVJWKTT0N+l0VxbcAKFUgv3eb9DtI1sJZ150sWvwVPysNFwZHYuYyX7QJAwFw/w8n3XZ0OBg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-14T04:50:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iCdyM0RNT8OvhgSccMRvUbLWOeTOwqfbzDZSdL76e8bKwG3qkH0qiWKpy20/5L9a2VpFajiIyrhFLyUpRmubBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:09:25.318065Z"},"content_sha256":"b04ba824261abf67a3f0159b41d56fdb4f4f58d92427b451067f3bfde6815cef","schema_version":"1.0","event_id":"sha256:b04ba824261abf67a3f0159b41d56fdb4f4f58d92427b451067f3bfde6815cef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XXAW7GBZFFL3SM7WHGCPSGVOOX/bundle.json","state_url":"https://pith.science/pith/XXAW7GBZFFL3SM7WHGCPSGVOOX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XXAW7GBZFFL3SM7WHGCPSGVOOX/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":"2026-08-06T18:09:25Z","links":{"resolver":"https://pith.science/pith/XXAW7GBZFFL3SM7WHGCPSGVOOX","bundle":"https://pith.science/pith/XXAW7GBZFFL3SM7WHGCPSGVOOX/bundle.json","state":"https://pith.science/pith/XXAW7GBZFFL3SM7WHGCPSGVOOX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XXAW7GBZFFL3SM7WHGCPSGVOOX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XXAW7GBZFFL3SM7WHGCPSGVOOX","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b9c485d89db4b88a3c2424ab8c5eca9ae0a4b52d54966cc5233270955d7beaa3","cross_cats_sorted":["cs.NA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2026-07-13T13:57:46Z","title_canon_sha256":"a0cceaadc5421b56401c9699a2a54c6a34a3d555197a9b21fb7ed049597cfe40"},"schema_version":"1.0","source":{"id":"2607.11576","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11576","created_at":"2026-07-14T02:22:12Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11576v1","created_at":"2026-07-14T02:22:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11576","created_at":"2026-07-14T02:22:12Z"},{"alias_kind":"pith_short_12","alias_value":"XXAW7GBZFFL3","created_at":"2026-07-14T02:22:12Z"},{"alias_kind":"pith_short_16","alias_value":"XXAW7GBZFFL3SM7W","created_at":"2026-07-14T02:22:12Z"},{"alias_kind":"pith_short_8","alias_value":"XXAW7GBZ","created_at":"2026-07-14T02:22:12Z"}],"graph_snapshots":[{"event_id":"sha256:c1f612b1bc7b6e58bea12aacd7526a9c585d939ed0c1fef7d352146ef8a5ae14","target":"graph","created_at":"2026-07-14T02:22:12Z","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/2607.11576/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate, spatially resolved flow field measurements are essential for the reliable assessment of hemodynamic quantities in cardiovascular research and clinical practice. Experimental techniques, such as 4D flow MRI, PIV, or Doppler ultrasound, often yield data that are sparse, noisy, or under-resolved, particularly near vessel walls and in regions of complex flow. This limits the fidelity of distributed or derived hemodynamic indicators such as the wall shear stress and the clinical utility of such measurements. To address these challenges, we propose a physics-informed neural network (PINN) ","authors_text":"Alberto Zingaro, Irena Radi\\v{s}i\\'c, Luca Dede', Raffaele Tirotta, Stefano Pagani","cross_cats":["cs.NA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2026-07-13T13:57:46Z","title":"Physics-Informed Neural Networks for the High-Resolution Reconstruction of Flow Measurement Indicators in Fluid Dynamics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11576","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:c897f0322d6545fa7ce9090024924cbc6139c9d91d13bf1c89bff90d36489859","target":"record","created_at":"2026-07-14T02:22:12Z","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":"b9c485d89db4b88a3c2424ab8c5eca9ae0a4b52d54966cc5233270955d7beaa3","cross_cats_sorted":["cs.NA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2026-07-13T13:57:46Z","title_canon_sha256":"a0cceaadc5421b56401c9699a2a54c6a34a3d555197a9b21fb7ed049597cfe40"},"schema_version":"1.0","source":{"id":"2607.11576","kind":"arxiv","version":1}},"canonical_sha256":"bdc16f98392957b933f63984f91aae75e28ff6c458b4e20e2c605806495747ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bdc16f98392957b933f63984f91aae75e28ff6c458b4e20e2c605806495747ad","first_computed_at":"2026-07-14T02:22:12.981714Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T02:22:12.981714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZNMqHiYuDH9uFYaYhKyTR6rRi9+qvVLbhEDJ/wWKQSG/ZOxcVJhmIMKwEZDm3lUagZZKWfPfd/qIoXvYWw8yDg==","signature_status":"signed_v1","signed_at":"2026-07-14T02:22:12.982575Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.11576","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:7a1b30efc09c491fec9095ba2f36a9c2267476662724020703782fae70451bdd","sha256:b04ba824261abf67a3f0159b41d56fdb4f4f58d92427b451067f3bfde6815cef"]}],"invalid_events":[],"applied_event_ids":["sha256:c897f0322d6545fa7ce9090024924cbc6139c9d91d13bf1c89bff90d36489859","sha256:c1f612b1bc7b6e58bea12aacd7526a9c585d939ed0c1fef7d352146ef8a5ae14"],"state_sha256":"3b4fb15a87df9cbe04d52e924a8e072b74c2d654e0eb421180ce1ccbb961cd24"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HDf/nN9OtxbQCVyz+9l8jzd4AlA+gSmadciODvtTwL9tOY3zJ0KdH5dZ3J0ANgMKV5ENX44FUlVjwQyFPipKCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T18:09:25.320736Z","bundle_sha256":"0227657c73f79fdf756f81bccdcd12ae06501a8eb50e61643c4368dddbc3ef30"}}