{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:N66O3UVF4K62PQKMAAKXTZD2BH","short_pith_number":"pith:N66O3UVF","canonical_record":{"source":{"id":"2605.14500","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2026-05-14T07:44:53Z","cross_cats_sorted":["cs.HC","eess.IV"],"title_canon_sha256":"f626efa1c6f6aa82bdface7b172e2edfc132d3982a1d72a88b9f1e475e719203","abstract_canon_sha256":"376f66ba6371c6216b55b2f3a72e16e6cbcfe45e73282d3eafb3ef3802936740"},"schema_version":"1.0"},"canonical_sha256":"6fbcedd2a5e2bda7c14c001579e47a09f0f19f5eab5bd47d27cbec4d793c3c4f","source":{"kind":"arxiv","id":"2605.14500","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14500","created_at":"2026-05-17T23:39:06Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14500v1","created_at":"2026-05-17T23:39:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14500","created_at":"2026-05-17T23:39:06Z"},{"alias_kind":"pith_short_12","alias_value":"N66O3UVF4K62","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"N66O3UVF4K62PQKM","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"N66O3UVF","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:N66O3UVF4K62PQKMAAKXTZD2BH","target":"record","payload":{"canonical_record":{"source":{"id":"2605.14500","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2026-05-14T07:44:53Z","cross_cats_sorted":["cs.HC","eess.IV"],"title_canon_sha256":"f626efa1c6f6aa82bdface7b172e2edfc132d3982a1d72a88b9f1e475e719203","abstract_canon_sha256":"376f66ba6371c6216b55b2f3a72e16e6cbcfe45e73282d3eafb3ef3802936740"},"schema_version":"1.0"},"canonical_sha256":"6fbcedd2a5e2bda7c14c001579e47a09f0f19f5eab5bd47d27cbec4d793c3c4f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:06.326803Z","signature_b64":"hmCdwK8gueuMHv+PQKB2Zw50/8/mCv5//AXsnjDZGFxiKzIb2pXFjwc3iwfjc1DFhKNmLrPJ5UDXnnNMmS8bAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6fbcedd2a5e2bda7c14c001579e47a09f0f19f5eab5bd47d27cbec4d793c3c4f","last_reissued_at":"2026-05-17T23:39:06.326066Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:06.326066Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.14500","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":"2026-05-17T23:39:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w6O2cSBhmHqg255blkNkuIrmZXUwhrPJE/EdRdj7g0qpqSNlppdR/jGkijqSvC0VvJHZKWspnHZkUjGLQr65Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T19:52:00.800492Z"},"content_sha256":"cbf94c71c2c5b7d1c962ec87dd337167670cda04be854370cec363174a31f763","schema_version":"1.0","event_id":"sha256:cbf94c71c2c5b7d1c962ec87dd337167670cda04be854370cec363174a31f763"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:N66O3UVF4K62PQKMAAKXTZD2BH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Physics-Based iOCT Sonification for Real-time Interaction Awareness in Subretinal Injection","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"A physics-based sonification system turns iOCT images into real-time sound cues for needle position and retinal deformation in subretinal injection.","cross_cats":["cs.HC","eess.IV"],"primary_cat":"cs.SD","authors_text":"Andrea K. M. Ross, Koorosh Faridpooya, Luis D. Reyes Vargas, Merle Fairhurst, Michael Sommersperger, Mohammad Ali Nasseri, Nassir Navab, Sasan Matinfar, Shervin Dehghani, Veronica Ruozzi","submitted_at":"2026-05-14T07:44:53Z","abstract_excerpt":"Subretinal injection is a delicate vitreoretinal procedure requiring precise needle placement within the subretinal space while avoiding perforation of the retinal pigment epithelium (RPE), a layer directly beneath the target with extremely limited regenerative capacity. To enhance depth perception during cannula advancement, intraoperative optical coherence tomography (iOCT) offers high-resolution cross-sectional visualization of needle-tissue interaction; however, interpreting these images requires sustained visual attention alongside the en face microscope view, thereby increasing cognitive"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"In a controlled user study (n=34), the proposed sonification achieved high retinal layer identification accuracy and robust detection of retinal deformation-related events, significantly outperforming a state-of-the-art baseline in overall event identification (83.4% vs. 60.6%, p < 0.001), with gains driven primarily by enhanced detection of injection-induced retinal deformation.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The assumption that the physics-inspired acoustic model driven by segmented retinal layers and needle motion accurately represents real tissue interactions and that results from the controlled user study will translate to live surgical conditions with actual patients and operating-room constraints.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"A physics-inspired sonification framework maps segmented iOCT retinal layers and needle motion to auditory signals, raising event identification accuracy from 60.6% to 83.4% in a 34-person user study for subretinal injection guidance.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A physics-based sonification system turns iOCT images into real-time sound cues for needle position and retinal deformation in subretinal injection.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"22c454a4887e968e7041e0c069bc632036fa13fda977237693c369ecd3510f25"},"source":{"id":"2605.14500","kind":"arxiv","version":1},"verdict":{"id":"01f85718-02d4-4f9c-a5eb-3290bb376d61","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-15T01:28:58.193463Z","strongest_claim":"In a controlled user study (n=34), the proposed sonification achieved high retinal layer identification accuracy and robust detection of retinal deformation-related events, significantly outperforming a state-of-the-art baseline in overall event identification (83.4% vs. 60.6%, p < 0.001), with gains driven primarily by enhanced detection of injection-induced retinal deformation.","one_line_summary":"A physics-inspired sonification framework maps segmented iOCT retinal layers and needle motion to auditory signals, raising event identification accuracy from 60.6% to 83.4% in a 34-person user study for subretinal injection guidance.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The assumption that the physics-inspired acoustic model driven by segmented retinal layers and needle motion accurately represents real tissue interactions and that results from the controlled user study will translate to live surgical conditions with actual patients and operating-room constraints.","pith_extraction_headline":"A physics-based sonification system turns iOCT images into real-time sound cues for needle position and retinal deformation in subretinal injection."},"references":{"count":28,"sample":[{"doi":"","year":2025,"title":"2025 IEEE International Conference on Robotics and Automation (ICRA) pp","work_id":"ec7c03b8-ec6c-45d6-9b4d-7ee7df37a98c","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2025,"title":"2025 International Symposium on Medical Robotics(ISMR)pp.66–72(2024),https://api.semanticscholar.org/CorpusID:274306241","work_id":"eaedbbdf-da4d-45ae-a782-728794cc872a","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2017,"title":"International Journal of Computer Assisted Radiology and Surgery12, 1665–1676 (2017), https://api.semanticscholar.org/CorpusID:11833443","work_id":"eb9df175-5afe-47c3-af3f-d7e0a57b784b","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":1978,"title":"In: Applied Mathematical Sciences (1978), https://api.semanticscholar.org/CorpusID:122101452","work_id":"48b1ad7b-2290-48b6-a397-17e426d695d3","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2023,"title":"2023 IEEE International Conference on Robotics and Automation (ICRA) pp","work_id":"fe2b1da9-244c-4cd4-a907-9379de5dabf3","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":28,"snapshot_sha256":"cfd0fa0615e58b11113cea78d05a150d4ef518e2072af0b8cd2187aacf465a0c","internal_anchors":0},"formal_canon":{"evidence_count":2,"snapshot_sha256":"ebd25c536679c371e526de7eff5093b5520c83520f26939c73f9f860ebe83700"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":"01f85718-02d4-4f9c-a5eb-3290bb376d61"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:39:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ey4fZHvPl+19GW3TgTrhHS1oA2H9d8dAhYDGKhdHBELI32o63aBbKh727jsp0X+DNGRpF2ifGsj6JwffBOl6Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T19:52:00.801988Z"},"content_sha256":"90b80124302e10ecbbe5e84937a7e572d30faf07ff57ff754ff5d4f4be9a1b74","schema_version":"1.0","event_id":"sha256:90b80124302e10ecbbe5e84937a7e572d30faf07ff57ff754ff5d4f4be9a1b74"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N66O3UVF4K62PQKMAAKXTZD2BH/bundle.json","state_url":"https://pith.science/pith/N66O3UVF4K62PQKMAAKXTZD2BH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N66O3UVF4K62PQKMAAKXTZD2BH/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":"2026-05-24T19:52:00Z","links":{"resolver":"https://pith.science/pith/N66O3UVF4K62PQKMAAKXTZD2BH","bundle":"https://pith.science/pith/N66O3UVF4K62PQKMAAKXTZD2BH/bundle.json","state":"https://pith.science/pith/N66O3UVF4K62PQKMAAKXTZD2BH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N66O3UVF4K62PQKMAAKXTZD2BH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:N66O3UVF4K62PQKMAAKXTZD2BH","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":"376f66ba6371c6216b55b2f3a72e16e6cbcfe45e73282d3eafb3ef3802936740","cross_cats_sorted":["cs.HC","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2026-05-14T07:44:53Z","title_canon_sha256":"f626efa1c6f6aa82bdface7b172e2edfc132d3982a1d72a88b9f1e475e719203"},"schema_version":"1.0","source":{"id":"2605.14500","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14500","created_at":"2026-05-17T23:39:06Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14500v1","created_at":"2026-05-17T23:39:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14500","created_at":"2026-05-17T23:39:06Z"},{"alias_kind":"pith_short_12","alias_value":"N66O3UVF4K62","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"N66O3UVF4K62PQKM","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"N66O3UVF","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:90b80124302e10ecbbe5e84937a7e572d30faf07ff57ff754ff5d4f4be9a1b74","target":"graph","created_at":"2026-05-17T23:39:06Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"In a controlled user study (n=34), the proposed sonification achieved high retinal layer identification accuracy and robust detection of retinal deformation-related events, significantly outperforming a state-of-the-art baseline in overall event identification (83.4% vs. 60.6%, p < 0.001), with gains driven primarily by enhanced detection of injection-induced retinal deformation."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"The assumption that the physics-inspired acoustic model driven by segmented retinal layers and needle motion accurately represents real tissue interactions and that results from the controlled user study will translate to live surgical conditions with actual patients and operating-room constraints."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"A physics-inspired sonification framework maps segmented iOCT retinal layers and needle motion to auditory signals, raising event identification accuracy from 60.6% to 83.4% in a 34-person user study for subretinal injection guidance."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"A physics-based sonification system turns iOCT images into real-time sound cues for needle position and retinal deformation in subretinal injection."}],"snapshot_sha256":"22c454a4887e968e7041e0c069bc632036fa13fda977237693c369ecd3510f25"},"formal_canon":{"evidence_count":2,"snapshot_sha256":"ebd25c536679c371e526de7eff5093b5520c83520f26939c73f9f860ebe83700"},"paper":{"abstract_excerpt":"Subretinal injection is a delicate vitreoretinal procedure requiring precise needle placement within the subretinal space while avoiding perforation of the retinal pigment epithelium (RPE), a layer directly beneath the target with extremely limited regenerative capacity. To enhance depth perception during cannula advancement, intraoperative optical coherence tomography (iOCT) offers high-resolution cross-sectional visualization of needle-tissue interaction; however, interpreting these images requires sustained visual attention alongside the en face microscope view, thereby increasing cognitive","authors_text":"Andrea K. M. Ross, Koorosh Faridpooya, Luis D. Reyes Vargas, Merle Fairhurst, Michael Sommersperger, Mohammad Ali Nasseri, Nassir Navab, Sasan Matinfar, Shervin Dehghani, Veronica Ruozzi","cross_cats":["cs.HC","eess.IV"],"headline":"A physics-based sonification system turns iOCT images into real-time sound cues for needle position and retinal deformation in subretinal injection.","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2026-05-14T07:44:53Z","title":"Physics-Based iOCT Sonification for Real-time Interaction Awareness in Subretinal Injection"},"references":{"count":28,"internal_anchors":0,"resolved_work":28,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"2025 IEEE International Conference on Robotics and Automation (ICRA) pp","work_id":"ec7c03b8-ec6c-45d6-9b4d-7ee7df37a98c","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":2,"title":"2025 International Symposium on Medical Robotics(ISMR)pp.66–72(2024),https://api.semanticscholar.org/CorpusID:274306241","work_id":"eaedbbdf-da4d-45ae-a782-728794cc872a","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"International Journal of Computer Assisted Radiology and Surgery12, 1665–1676 (2017), https://api.semanticscholar.org/CorpusID:11833443","work_id":"eb9df175-5afe-47c3-af3f-d7e0a57b784b","year":2017},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"In: Applied Mathematical Sciences (1978), https://api.semanticscholar.org/CorpusID:122101452","work_id":"48b1ad7b-2290-48b6-a397-17e426d695d3","year":1978},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"2023 IEEE International Conference on Robotics and Automation (ICRA) pp","work_id":"fe2b1da9-244c-4cd4-a907-9379de5dabf3","year":2023}],"snapshot_sha256":"cfd0fa0615e58b11113cea78d05a150d4ef518e2072af0b8cd2187aacf465a0c"},"source":{"id":"2605.14500","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-15T01:28:58.193463Z","id":"01f85718-02d4-4f9c-a5eb-3290bb376d61","model_set":{"reader":"grok-4.3"},"one_line_summary":"A physics-inspired sonification framework maps segmented iOCT retinal layers and needle motion to auditory signals, raising event identification accuracy from 60.6% to 83.4% in a 34-person user study for subretinal injection guidance.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"A physics-based sonification system turns iOCT images into real-time sound cues for needle position and retinal deformation in subretinal injection.","strongest_claim":"In a controlled user study (n=34), the proposed sonification achieved high retinal layer identification accuracy and robust detection of retinal deformation-related events, significantly outperforming a state-of-the-art baseline in overall event identification (83.4% vs. 60.6%, p < 0.001), with gains driven primarily by enhanced detection of injection-induced retinal deformation.","weakest_assumption":"The assumption that the physics-inspired acoustic model driven by segmented retinal layers and needle motion accurately represents real tissue interactions and that results from the controlled user study will translate to live surgical conditions with actual patients and operating-room constraints."}},"verdict_id":"01f85718-02d4-4f9c-a5eb-3290bb376d61"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:cbf94c71c2c5b7d1c962ec87dd337167670cda04be854370cec363174a31f763","target":"record","created_at":"2026-05-17T23:39:06Z","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":"376f66ba6371c6216b55b2f3a72e16e6cbcfe45e73282d3eafb3ef3802936740","cross_cats_sorted":["cs.HC","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2026-05-14T07:44:53Z","title_canon_sha256":"f626efa1c6f6aa82bdface7b172e2edfc132d3982a1d72a88b9f1e475e719203"},"schema_version":"1.0","source":{"id":"2605.14500","kind":"arxiv","version":1}},"canonical_sha256":"6fbcedd2a5e2bda7c14c001579e47a09f0f19f5eab5bd47d27cbec4d793c3c4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6fbcedd2a5e2bda7c14c001579e47a09f0f19f5eab5bd47d27cbec4d793c3c4f","first_computed_at":"2026-05-17T23:39:06.326066Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:06.326066Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hmCdwK8gueuMHv+PQKB2Zw50/8/mCv5//AXsnjDZGFxiKzIb2pXFjwc3iwfjc1DFhKNmLrPJ5UDXnnNMmS8bAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:06.326803Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.14500","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cbf94c71c2c5b7d1c962ec87dd337167670cda04be854370cec363174a31f763","sha256:90b80124302e10ecbbe5e84937a7e572d30faf07ff57ff754ff5d4f4be9a1b74"],"state_sha256":"758e9c760ba69dc7d732a677971b9aed55ada68935b9c033cb80e6d1cec179d3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x/iQuOzdFxz83il+6mUErr/NqbbxoHv3BBk3t3sHEmL8GenrVbSyRtrJoyPgF/6YqEOsI6lXVYXYSm04p+2oDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T19:52:00.805606Z","bundle_sha256":"b3f49492f960fabbd4bb2dc80d689a1e64a80c889f5bae43807f4e3c5466055c"}}