{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:GZ7NHEGQ42NGIOALHMKIJDKNG5","short_pith_number":"pith:GZ7NHEGQ","canonical_record":{"source":{"id":"2608.10360","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-08-11T01:37:55Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"38fa4a962eafea8570f444f81c5f6b7ef048818398eafd6df54c9e9269ba9dd2","abstract_canon_sha256":"2e752dc2bb919d864a7aaa9613ff8e4b8c94d02c34fe9026f85077311ca4f124"},"schema_version":"1.0"},"canonical_sha256":"367ed390d0e69a64380b3b14848d4d3772e450174921f6d47e2c79b69525768b","source":{"kind":"arxiv","id":"2608.10360","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.10360","created_at":"2026-08-12T00:23:57Z"},{"alias_kind":"arxiv_version","alias_value":"2608.10360v1","created_at":"2026-08-12T00:23:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.10360","created_at":"2026-08-12T00:23:57Z"},{"alias_kind":"pith_short_12","alias_value":"GZ7NHEGQ42NG","created_at":"2026-08-12T00:23:57Z"},{"alias_kind":"pith_short_16","alias_value":"GZ7NHEGQ42NGIOAL","created_at":"2026-08-12T00:23:57Z"},{"alias_kind":"pith_short_8","alias_value":"GZ7NHEGQ","created_at":"2026-08-12T00:23:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:GZ7NHEGQ42NGIOALHMKIJDKNG5","target":"record","payload":{"canonical_record":{"source":{"id":"2608.10360","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-08-11T01:37:55Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"38fa4a962eafea8570f444f81c5f6b7ef048818398eafd6df54c9e9269ba9dd2","abstract_canon_sha256":"2e752dc2bb919d864a7aaa9613ff8e4b8c94d02c34fe9026f85077311ca4f124"},"schema_version":"1.0"},"canonical_sha256":"367ed390d0e69a64380b3b14848d4d3772e450174921f6d47e2c79b69525768b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-12T00:23:57.383933Z","signature_b64":"jKyt59ul1E1WhxOCwXa0ei7fzvhSMiMzgt8RGdp+V53AII8XkjR5ZTM3oFphyXdey7ARbvpTlpgnBRBqoVSKDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"367ed390d0e69a64380b3b14848d4d3772e450174921f6d47e2c79b69525768b","last_reissued_at":"2026-08-12T00:23:57.382336Z","signature_status":"signed_v1","first_computed_at":"2026-08-12T00:23:57.382336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.10360","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":"2026-08-12T00:23:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dWy9fJoNUS4vEL0K0V+vzyNhLV0glZ5GUNtkbT4W8M/oKI32FQSRAqLbfo8JNnctxYbggL0ciC0OVTZbaf/GCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:59:07.888387Z"},"content_sha256":"24a36778256d0d70bea4264e466af28806e2b5179e482c3d76f3ac269be2ea16","schema_version":"1.0","event_id":"sha256:24a36778256d0d70bea4264e466af28806e2b5179e482c3d76f3ac269be2ea16"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:GZ7NHEGQ42NGIOALHMKIJDKNG5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.HC","authors_text":"Boulbaba Abdeljaouad, Haoyu Li, Jiaxin Du, Yong Zhuang","submitted_at":"2026-08-11T01:37:55Z","abstract_excerpt":"Arabic maqam music microtonal, modal, and built on ornamented call and response is among the traditions most underserved by generative music models, whose training frameworks remain predominantly Western and equaltempered. Real time accompaniment sharpens this gap: an AI partner must listen, adapt dynamically, and respect idiomatic microtonal structures. Streaming text to music models provide strong generative capabilities but lack precise control interfaces. We present MazzikaAI, a knowledge based system that uses natural language as the actuator of a realtime control loop. By compiling live "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.10360","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/2608.10360/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":"2026-08-12T00:23:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"We6DrX/N5RkHXBxjls8PbAHOTASqtHlGN+2QoPLJdNKKGVqqeD0oVpfO7f8O1dVwWPSzXQzRSh9bYuqCXqy+Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:59:07.888764Z"},"content_sha256":"81a93a78876e70cb0c8933bcb2504ddbd6ce903d08f0b6bd26ad025cd06b57e6","schema_version":"1.0","event_id":"sha256:81a93a78876e70cb0c8933bcb2504ddbd6ce903d08f0b6bd26ad025cd06b57e6"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:GZ7NHEGQ42NGIOALHMKIJDKNG5","target":"integrity","payload":{"note":"Identifier '10.1109/access.2021' 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":"Classifying maqams of Qur’anic recitations using deep learning. IEEE Access 9, 117271–117281. doi:10.1109/ACCESS.2021. 3098415. Thom, B.,","arxiv_id":"2608.10360","detector":"doi_compliance","evidence":{"doi":"10.1109/access.2021","arxiv_id":null,"ref_index":2021,"raw_excerpt":"Classifying maqams of Qur’anic recitations using deep learning. IEEE Access 9, 117271–117281. doi:10.1109/ACCESS.2021. 3098415. Thom, B.,","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":2021,"audited_at":"2026-08-15T14:48:53.272982Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/access.2021","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"d718a85ad1a8cefac36400f7fa7aee7236332b4024c745cfc3628d9efa44288d","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19897,"payload_sha256":"2afc9fe6de6181eb6eeed75f70ec7f45fd680e10fa1c5fb8b1d9a46d98cdeb64","signature_b64":"F2QnC1hrqWYrJXS8RjaqtGR/8JwuPNzlLTsGqI6LSPRLLh+sIGa6bjF5B9zxzbejCme2C8RMdcUpignz1ys/Bw==","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":"2026-08-15T14:53:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4/6M2vxtYqY9hBm26NKDddZeWOG0f+VOxkCC8/v/BA4qsTCO17P91i5tzaCxWdGvFwWoZhD4bnAa/+rhvGzACw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:59:07.891319Z"},"content_sha256":"a062726b065c33be54a6990a853824f113e92be04c50a7e9151196aaa2c56309","schema_version":"1.0","event_id":"sha256:a062726b065c33be54a6990a853824f113e92be04c50a7e9151196aaa2c56309"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:GZ7NHEGQ42NGIOALHMKIJDKNG5","target":"integrity","payload":{"note":"Identifier '10.1109/tkde.2024' 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":"Unifying large language models and knowledge graphs: A roadmap. IEEE Transactions on Knowledge and Data Engineering 36, 3580–3599. doi:10.1109/TKDE.2024. 3352100. 29 Roberts, A., Engel, J., Raffel, C., Hawthorne, C., Eck, D.,","arxiv_id":"2608.10360","detector":"doi_compliance","evidence":{"doi":"10.1109/tkde.2024","arxiv_id":null,"ref_index":13,"raw_excerpt":"Unifying large language models and knowledge graphs: A roadmap. IEEE Transactions on Knowledge and Data Engineering 36, 3580–3599. doi:10.1109/TKDE.2024. 3352100. 29 Roberts, A., Engel, J., Raffel, C., Hawthorne, C., Eck, D.,","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":13,"audited_at":"2026-08-15T14:48:53.272982Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/tkde.2024","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"ebe3fc6ad2c6b2ea101b57c4c2194148314f45aa96cba1b2233beae6089c8e4a","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19896,"payload_sha256":"992041a0945b53da3e836039d4895716e320ba438cf2f1853dc5871b247ddc5a","signature_b64":"z00G+PDS6uT1DWymzAcqHqK6FEYssJAxkj+TH/ah38TYOnFAfFGJOso9tioiE+PdvC4ldK60FTwnmHh/sd8JAA==","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":"2026-08-15T14:53:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QF2Pgxn9UmIAJQ2t13BoWAiObEb1tfucVNICa0FX71Z9SVcpLZHq4usQ7L5QFJfKQMlbG4YQMY7o+b+Ws2GzCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:59:07.891633Z"},"content_sha256":"65792254bc260e500ab823768227011ca35d30bc8215adbf512251788f4f72c9","schema_version":"1.0","event_id":"sha256:65792254bc260e500ab823768227011ca35d30bc8215adbf512251788f4f72c9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GZ7NHEGQ42NGIOALHMKIJDKNG5/bundle.json","state_url":"https://pith.science/pith/GZ7NHEGQ42NGIOALHMKIJDKNG5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GZ7NHEGQ42NGIOALHMKIJDKNG5/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":"2026-08-18T17:59:07Z","links":{"resolver":"https://pith.science/pith/GZ7NHEGQ42NGIOALHMKIJDKNG5","bundle":"https://pith.science/pith/GZ7NHEGQ42NGIOALHMKIJDKNG5/bundle.json","state":"https://pith.science/pith/GZ7NHEGQ42NGIOALHMKIJDKNG5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GZ7NHEGQ42NGIOALHMKIJDKNG5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GZ7NHEGQ42NGIOALHMKIJDKNG5","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":"2e752dc2bb919d864a7aaa9613ff8e4b8c94d02c34fe9026f85077311ca4f124","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-08-11T01:37:55Z","title_canon_sha256":"38fa4a962eafea8570f444f81c5f6b7ef048818398eafd6df54c9e9269ba9dd2"},"schema_version":"1.0","source":{"id":"2608.10360","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.10360","created_at":"2026-08-12T00:23:57Z"},{"alias_kind":"arxiv_version","alias_value":"2608.10360v1","created_at":"2026-08-12T00:23:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.10360","created_at":"2026-08-12T00:23:57Z"},{"alias_kind":"pith_short_12","alias_value":"GZ7NHEGQ42NG","created_at":"2026-08-12T00:23:57Z"},{"alias_kind":"pith_short_16","alias_value":"GZ7NHEGQ42NGIOAL","created_at":"2026-08-12T00:23:57Z"},{"alias_kind":"pith_short_8","alias_value":"GZ7NHEGQ","created_at":"2026-08-12T00:23:57Z"}],"graph_snapshots":[{"event_id":"sha256:81a93a78876e70cb0c8933bcb2504ddbd6ce903d08f0b6bd26ad025cd06b57e6","target":"graph","created_at":"2026-08-12T00:23:57Z","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/2608.10360/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Arabic maqam music microtonal, modal, and built on ornamented call and response is among the traditions most underserved by generative music models, whose training frameworks remain predominantly Western and equaltempered. Real time accompaniment sharpens this gap: an AI partner must listen, adapt dynamically, and respect idiomatic microtonal structures. Streaming text to music models provide strong generative capabilities but lack precise control interfaces. We present MazzikaAI, a knowledge based system that uses natural language as the actuator of a realtime control loop. By compiling live ","authors_text":"Boulbaba Abdeljaouad, Haoyu Li, Jiaxin Du, Yong Zhuang","cross_cats":["cs.AI","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-08-11T01:37:55Z","title":"MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.10360","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":"sha256:24a36778256d0d70bea4264e466af28806e2b5179e482c3d76f3ac269be2ea16","target":"record","created_at":"2026-08-12T00:23:57Z","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":"2e752dc2bb919d864a7aaa9613ff8e4b8c94d02c34fe9026f85077311ca4f124","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-08-11T01:37:55Z","title_canon_sha256":"38fa4a962eafea8570f444f81c5f6b7ef048818398eafd6df54c9e9269ba9dd2"},"schema_version":"1.0","source":{"id":"2608.10360","kind":"arxiv","version":1}},"canonical_sha256":"367ed390d0e69a64380b3b14848d4d3772e450174921f6d47e2c79b69525768b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"367ed390d0e69a64380b3b14848d4d3772e450174921f6d47e2c79b69525768b","first_computed_at":"2026-08-12T00:23:57.382336Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-12T00:23:57.382336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jKyt59ul1E1WhxOCwXa0ei7fzvhSMiMzgt8RGdp+V53AII8XkjR5ZTM3oFphyXdey7ARbvpTlpgnBRBqoVSKDQ==","signature_status":"signed_v1","signed_at":"2026-08-12T00:23:57.383933Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.10360","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:65792254bc260e500ab823768227011ca35d30bc8215adbf512251788f4f72c9","sha256:a062726b065c33be54a6990a853824f113e92be04c50a7e9151196aaa2c56309"]}],"invalid_events":[],"applied_event_ids":["sha256:24a36778256d0d70bea4264e466af28806e2b5179e482c3d76f3ac269be2ea16","sha256:81a93a78876e70cb0c8933bcb2504ddbd6ce903d08f0b6bd26ad025cd06b57e6"],"state_sha256":"181705fb2e69b0d3560312b7945e6d6180cefe7284583590856c9d2375dc1f29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0RncQTwdi5myREa01b3ZwdJTbz9nYkXNfIxBBQUFJxNxzs0KseFY/xS/KEVyIe4opAhSSRs1fF1u2Aq/J4bZCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T17:59:07.893415Z","bundle_sha256":"08b1762016dfe10791a825c7f83f7e6f10aca92321673054b215471d4865502a"}}