{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:MAAE26E7TCF7PIFV7XCK6CZK37","short_pith_number":"pith:MAAE26E7","canonical_record":{"source":{"id":"2607.22165","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-24T10:11:24Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"ddade5fb4b3c59b2277bcd99a80d7b839034851611fffb74136cb3e40ca17dca","abstract_canon_sha256":"b89176aac6505b6a4626df5b2482ccd0581d66a220a33fcc3f7db8ce63d8877d"},"schema_version":"1.0"},"canonical_sha256":"60004d789f988bf7a0b5fdc4af0b2adfdec806a1d319fc985841a01fccfab6fe","source":{"kind":"arxiv","id":"2607.22165","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22165","created_at":"2026-07-27T01:20:51Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22165v1","created_at":"2026-07-27T01:20:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22165","created_at":"2026-07-27T01:20:51Z"},{"alias_kind":"pith_short_12","alias_value":"MAAE26E7TCF7","created_at":"2026-07-27T01:20:51Z"},{"alias_kind":"pith_short_16","alias_value":"MAAE26E7TCF7PIFV","created_at":"2026-07-27T01:20:51Z"},{"alias_kind":"pith_short_8","alias_value":"MAAE26E7","created_at":"2026-07-27T01:20:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:MAAE26E7TCF7PIFV7XCK6CZK37","target":"record","payload":{"canonical_record":{"source":{"id":"2607.22165","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-24T10:11:24Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"ddade5fb4b3c59b2277bcd99a80d7b839034851611fffb74136cb3e40ca17dca","abstract_canon_sha256":"b89176aac6505b6a4626df5b2482ccd0581d66a220a33fcc3f7db8ce63d8877d"},"schema_version":"1.0"},"canonical_sha256":"60004d789f988bf7a0b5fdc4af0b2adfdec806a1d319fc985841a01fccfab6fe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-27T01:20:51.512248Z","signature_b64":"C2WV+CgM/xbxDuudlQifZctFJWGUk8O6s5ShSE2PAR02vdDnRVATsReU7JAMEuc7AvBdcknpq7wEyPBjDxy1Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60004d789f988bf7a0b5fdc4af0b2adfdec806a1d319fc985841a01fccfab6fe","last_reissued_at":"2026-07-27T01:20:51.511069Z","signature_status":"signed_v1","first_computed_at":"2026-07-27T01:20:51.511069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.22165","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":"2026-07-27T01:20:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mKczWh+kHNJ/Wyat4gFgbFLJh/PO4xPh81lbmArROelcQ+FVlX3A3wrcShDz5A1t1cR2onsYIqIuIu62jvjSBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T19:05:11.631112Z"},"content_sha256":"715a55d3a3a6bf427ee0a5b82951958a368af339fea284960df888fe031f052e","schema_version":"1.0","event_id":"sha256:715a55d3a3a6bf427ee0a5b82951958a368af339fea284960df888fe031f052e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:MAAE26E7TCF7PIFV7XCK6CZK37","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.DB","authors_text":"Junming Chen, Junyang Jiang, Kai Zheng, Xu Chen, Zibo Liang","submitted_at":"2026-07-24T10:11:24Z","abstract_excerpt":"LLM-based database agents show promise, but differing task scopes, testbeds, and metrics hinder comparison. We identify four gaps between evaluation and production operations: live-environment fidelity (multi-turn read-write interaction with a running database); observation-space scale and complexity (causal diagnosis across thousands of time series, business logs, and concurrent activity); solution-space openness (multiple remediations with different operational trade-offs); and scenario complexity and coverage (faults cascading across internal mechanisms and operational domains). We present "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22165","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/2607.22165/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":"2026-07-27T01:20:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"237COCM8zLz/VzAnlfa6TQe9pNuUJq9vA9qsZXZBXITj1rAcXdOErjMbkb3Gorh0FiL9bjiCESfHx/byYwbSAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T19:05:11.632035Z"},"content_sha256":"40a6ab3f0c3c3b41e0a7428399c7bed15183ab47ae0baa7b138ca35123913bc8","schema_version":"1.0","event_id":"sha256:40a6ab3f0c3c3b41e0a7428399c7bed15183ab47ae0baa7b138ca35123913bc8"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:MAAE26E7TCF7PIFV7XCK6CZK37","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.14778/3717755.3717774 resolves to 'RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems'. A reader following the printed text alone cannot reach it.","snippet":"Biao Ouyang, Yingying Zhang, Hanyin Cheng, Yang Shu, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan, and Christian S. Jensen. 2024. RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. Proceedings of the V","arxiv_id":"2607.22165","detector":"doi_compliance","evidence":{"ref_index":26,"verdict_class":"incontrovertible","resolved_title":"RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems","printed_excerpt":"10.14778/3717755","reconstructed_doi":"10.14778/3717755.3717774"},"severity":"advisory","ref_index":26,"audited_at":"2026-08-01T05:39:42.164827Z","event_type":"pith.integrity.v1","detected_doi":"10.14778/3717755.3717774","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"b86fc16707d204fc78636cf117dbca54af16da0bc9ac83ca1c0443e548b0309c","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":15211,"payload_sha256":"39e8ab9ca03d6a13c9075d164ced0a192cfc90b5bccd13e070950b6736c44869","signature_b64":"0yjXzAbLL7oMpA/qDqDDx7RXAyYC0fB3ZGpbTfO4+pFwqthQmhrXsnn8l02So4r6IPbcEmfIwwyI+RJG11CZCA==","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":"2026-08-01T05:43:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WiHllRW/H5xak2MHdTmhmDDX9Yk8bySJNv0+Y55+9Aj/DDR7zQP30tV/1x0XTc1AVbvp5byO9LEklnGu5wweAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T19:05:11.635695Z"},"content_sha256":"ede5514b94d305cbb4d0edcc4b6582a55f0357f5c65e4c3984700665ffceedb3","schema_version":"1.0","event_id":"sha256:ede5514b94d305cbb4d0edcc4b6582a55f0357f5c65e4c3984700665ffceedb3"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:MAAE26E7TCF7PIFV7XCK6CZK37","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.14778/3659437.3659449 resolves to 'GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization'. A reader following the printed text alone cannot reach it.","snippet":"Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, and Jianguo Wang. 2024. GPTuner: A Manual- Reading Database Tuning System via GPT-Guided Bayesian Optimization.Pro- ceedings of the VLDB ","arxiv_id":"2607.22165","detector":"doi_compliance","evidence":{"ref_index":16,"verdict_class":"incontrovertible","resolved_title":"GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization","printed_excerpt":"10.14778/3659437","reconstructed_doi":"10.14778/3659437.3659449"},"severity":"advisory","ref_index":16,"audited_at":"2026-08-01T05:39:42.164827Z","event_type":"pith.integrity.v1","detected_doi":"10.14778/3659437.3659449","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"ca87a879d27d5165cb01b07da3553939f83b59a07ce2b106409a4e86c003bda7","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":15210,"payload_sha256":"a0633a6a32c31b0cab04392a9bc543f888478994d0ed17e0eb5809bd47f461dc","signature_b64":"PG9KraEl5IrWxw6/AoHYrvtRu3Sv3HvtnESrH6OqTjHthKB04FBLio8dMOannY6msF/rZxjVDi4Su226BPhCAQ==","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":"2026-08-01T05:43:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oveXbTlPbSvKw40ugA3k667BBGDjdnJqY4AyPNPRQj5NTZf8lC5/8q8rVJsBPHlLYhFcf/IUumwwWKYSIdIqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T19:05:11.636440Z"},"content_sha256":"648b5a2068fb8882c676919fd4d2e55d9755013f607a8a693134ca13a1abdb3c","schema_version":"1.0","event_id":"sha256:648b5a2068fb8882c676919fd4d2e55d9755013f607a8a693134ca13a1abdb3c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MAAE26E7TCF7PIFV7XCK6CZK37/bundle.json","state_url":"https://pith.science/pith/MAAE26E7TCF7PIFV7XCK6CZK37/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MAAE26E7TCF7PIFV7XCK6CZK37/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":"2026-08-04T19:05:11Z","links":{"resolver":"https://pith.science/pith/MAAE26E7TCF7PIFV7XCK6CZK37","bundle":"https://pith.science/pith/MAAE26E7TCF7PIFV7XCK6CZK37/bundle.json","state":"https://pith.science/pith/MAAE26E7TCF7PIFV7XCK6CZK37/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MAAE26E7TCF7PIFV7XCK6CZK37/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MAAE26E7TCF7PIFV7XCK6CZK37","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":"b89176aac6505b6a4626df5b2482ccd0581d66a220a33fcc3f7db8ce63d8877d","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-24T10:11:24Z","title_canon_sha256":"ddade5fb4b3c59b2277bcd99a80d7b839034851611fffb74136cb3e40ca17dca"},"schema_version":"1.0","source":{"id":"2607.22165","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22165","created_at":"2026-07-27T01:20:51Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22165v1","created_at":"2026-07-27T01:20:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22165","created_at":"2026-07-27T01:20:51Z"},{"alias_kind":"pith_short_12","alias_value":"MAAE26E7TCF7","created_at":"2026-07-27T01:20:51Z"},{"alias_kind":"pith_short_16","alias_value":"MAAE26E7TCF7PIFV","created_at":"2026-07-27T01:20:51Z"},{"alias_kind":"pith_short_8","alias_value":"MAAE26E7","created_at":"2026-07-27T01:20:51Z"}],"graph_snapshots":[{"event_id":"sha256:40a6ab3f0c3c3b41e0a7428399c7bed15183ab47ae0baa7b138ca35123913bc8","target":"graph","created_at":"2026-07-27T01:20:51Z","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/2607.22165/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"LLM-based database agents show promise, but differing task scopes, testbeds, and metrics hinder comparison. We identify four gaps between evaluation and production operations: live-environment fidelity (multi-turn read-write interaction with a running database); observation-space scale and complexity (causal diagnosis across thousands of time series, business logs, and concurrent activity); solution-space openness (multiple remediations with different operational trade-offs); and scenario complexity and coverage (faults cascading across internal mechanisms and operational domains). We present ","authors_text":"Junming Chen, Junyang Jiang, Kai Zheng, Xu Chen, Zibo Liang","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-24T10:11:24Z","title":"DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22165","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":"sha256:715a55d3a3a6bf427ee0a5b82951958a368af339fea284960df888fe031f052e","target":"record","created_at":"2026-07-27T01:20:51Z","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":"b89176aac6505b6a4626df5b2482ccd0581d66a220a33fcc3f7db8ce63d8877d","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-24T10:11:24Z","title_canon_sha256":"ddade5fb4b3c59b2277bcd99a80d7b839034851611fffb74136cb3e40ca17dca"},"schema_version":"1.0","source":{"id":"2607.22165","kind":"arxiv","version":1}},"canonical_sha256":"60004d789f988bf7a0b5fdc4af0b2adfdec806a1d319fc985841a01fccfab6fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60004d789f988bf7a0b5fdc4af0b2adfdec806a1d319fc985841a01fccfab6fe","first_computed_at":"2026-07-27T01:20:51.511069Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-27T01:20:51.511069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C2WV+CgM/xbxDuudlQifZctFJWGUk8O6s5ShSE2PAR02vdDnRVATsReU7JAMEuc7AvBdcknpq7wEyPBjDxy1Dw==","signature_status":"signed_v1","signed_at":"2026-07-27T01:20:51.512248Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.22165","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:648b5a2068fb8882c676919fd4d2e55d9755013f607a8a693134ca13a1abdb3c","sha256:ede5514b94d305cbb4d0edcc4b6582a55f0357f5c65e4c3984700665ffceedb3"]}],"invalid_events":[],"applied_event_ids":["sha256:715a55d3a3a6bf427ee0a5b82951958a368af339fea284960df888fe031f052e","sha256:40a6ab3f0c3c3b41e0a7428399c7bed15183ab47ae0baa7b138ca35123913bc8"],"state_sha256":"6e6e3ebc583c7f0eb6af3da2e3bbf502a9a30c7e799cda531b0991ba6e587ee3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BdXC2EPQhZ9+xqdtg6A77VYjonftRPFJUkCb4qgx1/uCj3j6oyOV0n+Kj2DHdtNV3plXvESTTgaXzCjEspwGBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T19:05:11.641101Z","bundle_sha256":"5f47deda6859227addcd9503c83aa8ef2288c31be14dcb9d0f728f074b80c73c"}}