{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NYK5YFIE6I2RRYEUBT6KUFQWYD","short_pith_number":"pith:NYK5YFIE","canonical_record":{"source":{"id":"2605.13785","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-13T17:06:52Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"594099420def0194c5b1cb1b309a1a8a7de1b6e2278c9f961f02371ae169ed92","abstract_canon_sha256":"e183dd480822701447d5a8e8e6d88f69978e8f36b12d151a67cc28bc05ee2993"},"schema_version":"1.0"},"canonical_sha256":"6e15dc1504f23518e0940cfcaa1616c0d4830372b1a24509a55fa40cec3be384","source":{"kind":"arxiv","id":"2605.13785","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.13785","created_at":"2026-05-18T02:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.13785v1","created_at":"2026-05-18T02:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.13785","created_at":"2026-05-18T02:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"NYK5YFIE6I2R","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"NYK5YFIE6I2RRYEU","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"NYK5YFIE","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NYK5YFIE6I2RRYEUBT6KUFQWYD","target":"record","payload":{"canonical_record":{"source":{"id":"2605.13785","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-13T17:06:52Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"594099420def0194c5b1cb1b309a1a8a7de1b6e2278c9f961f02371ae169ed92","abstract_canon_sha256":"e183dd480822701447d5a8e8e6d88f69978e8f36b12d151a67cc28bc05ee2993"},"schema_version":"1.0"},"canonical_sha256":"6e15dc1504f23518e0940cfcaa1616c0d4830372b1a24509a55fa40cec3be384","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:44:15.696296Z","signature_b64":"+WBXEVKtg2aC28GK2P7glDFXmgPK/uGf0PWz5gAXBlnDlof67ionkc+2sJWR4aB7JOIU+2vNng8hv08cNqUnCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e15dc1504f23518e0940cfcaa1616c0d4830372b1a24509a55fa40cec3be384","last_reissued_at":"2026-05-18T02:44:15.695737Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:44:15.695737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.13785","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":"2026-05-18T02:44:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RY6yH93MWZGszwgoMl4skzMcwZ8AhyRDhUMI7662cA8gJgJiUDY+uRTIBC1Hnpke4gO2FHcsoJ9U7iuxSbxlBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T16:25:07.785981Z"},"content_sha256":"4749a0700c6349e2c84f27fa7db7aa1f879e57953defc3c8d7b031b3d67f71d1","schema_version":"1.0","event_id":"sha256:4749a0700c6349e2c84f27fa7db7aa1f879e57953defc3c8d7b031b3d67f71d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NYK5YFIE6I2RRYEUBT6KUFQWYD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Amplification to Synthesis: A Comparative Analysis of Cognitive Operations Before and After Generative AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Cognitive operations on X shifted from retweet amplification in 2016 to synthesis of unique original posts in 2024, patterns consistent with generative AI.","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Dongwook Yoon, Liz Cho","submitted_at":"2026-05-13T17:06:52Z","abstract_excerpt":"Cognitive operations are a rising concern in the geopolitical sphere, a quiet yet rigorous fight for public perception and decision making. While such operations have been extensively studied in the context of bot-driven amplification, the emergence of generative AI introduces a new set of capabilities that may have fundamentally altered how these operations are designed and executed. The possible evolution of cognitive operation via generative AI puts nation states vulnerable without proper mitigation strategies. To address this, we compared behavioral and linguistic coordination patterns in "},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Taken together, these patterns point toward an operational logic organized around active content generation and narrative-specific targeting - characteristics consistent with generative AI involvement.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the measured differences between 2016 and 2024 are caused by generative AI rather than by changes in platform algorithms, user behavior, API access, or election-specific events unrelated to AI.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Election tweet analysis shows 2024 content is mostly original with low lexical overlap and narrative-focused timing, unlike the high-repetition retweet patterns of 2016, suggesting a move to AI-assisted synthesis in cognitive operations.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Cognitive operations on X shifted from retweet amplification in 2016 to synthesis of unique original posts in 2024, patterns consistent with generative AI.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"6c8392899ecc5c711f8d7329b3c5c8410cc847caf067ccbd17fd02435eae6324"},"source":{"id":"2605.13785","kind":"arxiv","version":1},"verdict":{"id":"48354502-b0a8-4fb5-a2f7-d39fc01c89e5","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-14T17:35:10.589103Z","strongest_claim":"Taken together, these patterns point toward an operational logic organized around active content generation and narrative-specific targeting - characteristics consistent with generative AI involvement.","one_line_summary":"Election tweet analysis shows 2024 content is mostly original with low lexical overlap and narrative-focused timing, unlike the high-repetition retweet patterns of 2016, suggesting a move to AI-assisted synthesis in cognitive operations.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the measured differences between 2016 and 2024 are caused by generative AI rather than by changes in platform algorithms, user behavior, API access, or election-specific events unrelated to AI.","pith_extraction_headline":"Cognitive operations on X shifted from retweet amplification in 2016 to synthesis of unique original posts in 2024, patterns consistent with generative AI."},"references":{"count":6,"sample":[{"doi":"10.48550/arxiv.1812.01997","year":2026,"title":"Characterizing the 2016 Russian IRA Influence Campaign","work_id":"57eb91dd-3a70-4218-8d7f-04e14c93f982","ref_index":1,"cited_arxiv_id":"1812.01997","is_internal_anchor":true},{"doi":"10.3390/computers14100410","year":2024,"title":"https://doi.org/10.3390/computers14100410 Barman, D., Guo, Z., & Conlan, O. (2024). The Dark Side of Language Models: Exploring the Potential of LLMs in Multimedia Disinformation Generation and Dissem","work_id":"6cf8736f-1ab1-45a8-a1c1-a70e7fe4b19c","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1038/s41467-018-07761-2","year":2021,"title":"https://doi.org/10.1038/s41467-018-07761-2 Defence, N. (2021, September 10). Fall 2021 NATO Innovation Challenge . https://www.canada.ca/en/department-national-defence/campaigns/fall-2021-nato-inn ova","work_id":"5774b51c-d911-43df-a6d0-cc369566a0c0","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1177/1940161220912682","year":2020,"title":"Golovchenko, Y., Buntain, C., Eady, G., Brown, M. A., & Tucker, J. A. (2020). Cross-Platform State Propaganda: Russian Trolls on Twitter and YouTube during the 2016 U.S. Presidential Election. The Int","work_id":"a8179262-c2dc-47c9-a899-9d68ebd2bcf8","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1038/s41598-024-53755-0","year":2024,"title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","work_id":"27adfcc9-2a67-43d6-a844-78309012411f","ref_index":5,"cited_arxiv_id":"1908.10084","is_internal_anchor":true}],"resolved_work":6,"snapshot_sha256":"eeb5de86aa0d4372741b17b27687328fecaefae1f25dec824006d308becc44ef","internal_anchors":2},"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":"48354502-b0a8-4fb5-a2f7-d39fc01c89e5"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:44:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OWfsw84sSfo8LFjHH99vMiEZohXfTcGHqkuaEN3g632gBkDiGYX4T/ZljhSzAsdOk3t2e+Aa2W25SsY2XCWKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T16:25:07.787113Z"},"content_sha256":"e6b153ffb4419bb37fd967eb43c28da86cecaf13071602af8ebf798f8d4aa267","schema_version":"1.0","event_id":"sha256:e6b153ffb4419bb37fd967eb43c28da86cecaf13071602af8ebf798f8d4aa267"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NYK5YFIE6I2RRYEUBT6KUFQWYD/bundle.json","state_url":"https://pith.science/pith/NYK5YFIE6I2RRYEUBT6KUFQWYD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NYK5YFIE6I2RRYEUBT6KUFQWYD/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":"2026-06-07T16:25:07Z","links":{"resolver":"https://pith.science/pith/NYK5YFIE6I2RRYEUBT6KUFQWYD","bundle":"https://pith.science/pith/NYK5YFIE6I2RRYEUBT6KUFQWYD/bundle.json","state":"https://pith.science/pith/NYK5YFIE6I2RRYEUBT6KUFQWYD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NYK5YFIE6I2RRYEUBT6KUFQWYD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NYK5YFIE6I2RRYEUBT6KUFQWYD","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":"e183dd480822701447d5a8e8e6d88f69978e8f36b12d151a67cc28bc05ee2993","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-13T17:06:52Z","title_canon_sha256":"594099420def0194c5b1cb1b309a1a8a7de1b6e2278c9f961f02371ae169ed92"},"schema_version":"1.0","source":{"id":"2605.13785","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.13785","created_at":"2026-05-18T02:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.13785v1","created_at":"2026-05-18T02:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.13785","created_at":"2026-05-18T02:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"NYK5YFIE6I2R","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"NYK5YFIE6I2RRYEU","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"NYK5YFIE","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:e6b153ffb4419bb37fd967eb43c28da86cecaf13071602af8ebf798f8d4aa267","target":"graph","created_at":"2026-05-18T02:44:15Z","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":"Taken together, these patterns point toward an operational logic organized around active content generation and narrative-specific targeting - characteristics consistent with generative AI involvement."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That the measured differences between 2016 and 2024 are caused by generative AI rather than by changes in platform algorithms, user behavior, API access, or election-specific events unrelated to AI."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"Election tweet analysis shows 2024 content is mostly original with low lexical overlap and narrative-focused timing, unlike the high-repetition retweet patterns of 2016, suggesting a move to AI-assisted synthesis in cognitive operations."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"Cognitive operations on X shifted from retweet amplification in 2016 to synthesis of unique original posts in 2024, patterns consistent with generative AI."}],"snapshot_sha256":"6c8392899ecc5c711f8d7329b3c5c8410cc847caf067ccbd17fd02435eae6324"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Cognitive operations are a rising concern in the geopolitical sphere, a quiet yet rigorous fight for public perception and decision making. While such operations have been extensively studied in the context of bot-driven amplification, the emergence of generative AI introduces a new set of capabilities that may have fundamentally altered how these operations are designed and executed. The possible evolution of cognitive operation via generative AI puts nation states vulnerable without proper mitigation strategies. To address this, we compared behavioral and linguistic coordination patterns in ","authors_text":"Dongwook Yoon, Liz Cho","cross_cats":["cs.AI"],"headline":"Cognitive operations on X shifted from retweet amplification in 2016 to synthesis of unique original posts in 2024, patterns consistent with generative AI.","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-13T17:06:52Z","title":"Amplification to Synthesis: A Comparative Analysis of Cognitive Operations Before and After Generative AI"},"references":{"count":6,"internal_anchors":2,"resolved_work":6,"sample":[{"cited_arxiv_id":"1812.01997","doi":"10.48550/arxiv.1812.01997","is_internal_anchor":true,"ref_index":1,"title":"Characterizing the 2016 Russian IRA Influence Campaign","work_id":"57eb91dd-3a70-4218-8d7f-04e14c93f982","year":2026},{"cited_arxiv_id":"","doi":"10.3390/computers14100410","is_internal_anchor":false,"ref_index":2,"title":"https://doi.org/10.3390/computers14100410 Barman, D., Guo, Z., & Conlan, O. (2024). The Dark Side of Language Models: Exploring the Potential of LLMs in Multimedia Disinformation Generation and Dissem","work_id":"6cf8736f-1ab1-45a8-a1c1-a70e7fe4b19c","year":2024},{"cited_arxiv_id":"","doi":"10.1038/s41467-018-07761-2","is_internal_anchor":false,"ref_index":3,"title":"https://doi.org/10.1038/s41467-018-07761-2 Defence, N. (2021, September 10). Fall 2021 NATO Innovation Challenge . https://www.canada.ca/en/department-national-defence/campaigns/fall-2021-nato-inn ova","work_id":"5774b51c-d911-43df-a6d0-cc369566a0c0","year":2021},{"cited_arxiv_id":"","doi":"10.1177/1940161220912682","is_internal_anchor":false,"ref_index":4,"title":"Golovchenko, Y., Buntain, C., Eady, G., Brown, M. A., & Tucker, J. A. (2020). Cross-Platform State Propaganda: Russian Trolls on Twitter and YouTube during the 2016 U.S. Presidential Election. The Int","work_id":"a8179262-c2dc-47c9-a899-9d68ebd2bcf8","year":2020},{"cited_arxiv_id":"1908.10084","doi":"10.1038/s41598-024-53755-0","is_internal_anchor":true,"ref_index":5,"title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","work_id":"27adfcc9-2a67-43d6-a844-78309012411f","year":2024}],"snapshot_sha256":"eeb5de86aa0d4372741b17b27687328fecaefae1f25dec824006d308becc44ef"},"source":{"id":"2605.13785","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-14T17:35:10.589103Z","id":"48354502-b0a8-4fb5-a2f7-d39fc01c89e5","model_set":{"reader":"grok-4.3"},"one_line_summary":"Election tweet analysis shows 2024 content is mostly original with low lexical overlap and narrative-focused timing, unlike the high-repetition retweet patterns of 2016, suggesting a move to AI-assisted synthesis in cognitive operations.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"Cognitive operations on X shifted from retweet amplification in 2016 to synthesis of unique original posts in 2024, patterns consistent with generative AI.","strongest_claim":"Taken together, these patterns point toward an operational logic organized around active content generation and narrative-specific targeting - characteristics consistent with generative AI involvement.","weakest_assumption":"That the measured differences between 2016 and 2024 are caused by generative AI rather than by changes in platform algorithms, user behavior, API access, or election-specific events unrelated to AI."}},"verdict_id":"48354502-b0a8-4fb5-a2f7-d39fc01c89e5"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4749a0700c6349e2c84f27fa7db7aa1f879e57953defc3c8d7b031b3d67f71d1","target":"record","created_at":"2026-05-18T02:44:15Z","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":"e183dd480822701447d5a8e8e6d88f69978e8f36b12d151a67cc28bc05ee2993","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-13T17:06:52Z","title_canon_sha256":"594099420def0194c5b1cb1b309a1a8a7de1b6e2278c9f961f02371ae169ed92"},"schema_version":"1.0","source":{"id":"2605.13785","kind":"arxiv","version":1}},"canonical_sha256":"6e15dc1504f23518e0940cfcaa1616c0d4830372b1a24509a55fa40cec3be384","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e15dc1504f23518e0940cfcaa1616c0d4830372b1a24509a55fa40cec3be384","first_computed_at":"2026-05-18T02:44:15.695737Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:44:15.695737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+WBXEVKtg2aC28GK2P7glDFXmgPK/uGf0PWz5gAXBlnDlof67ionkc+2sJWR4aB7JOIU+2vNng8hv08cNqUnCg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:44:15.696296Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.13785","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4749a0700c6349e2c84f27fa7db7aa1f879e57953defc3c8d7b031b3d67f71d1","sha256:e6b153ffb4419bb37fd967eb43c28da86cecaf13071602af8ebf798f8d4aa267"],"state_sha256":"94b0f13c4c383c8f627e3dcf5577ec7730e6daf1cd06c17cb08576faa0d1ff48"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nwpTEQTHykYYKW93DLXt3nVnW1GLf5rnzOUAztXdF67Ga6ewKSZsh1TfXLKkXLGiB7ysAQf0H33m0Mnch6dXBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T16:25:07.792614Z","bundle_sha256":"3d927414299e41bb931433fc1b9e08794a4cc555a6c69cfa46949122eec7e0c6"}}