{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ","short_pith_number":"pith:H3HEBSQW","canonical_record":{"source":{"id":"2605.14218","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-14T00:26:32Z","cross_cats_sorted":["physics.soc-ph"],"title_canon_sha256":"b2804448c4365bcea2d08ddc8390dfe3ea8e0e23c6065f7af6d673e9e433a265","abstract_canon_sha256":"a8d7e31dd133152178e38700d8bc5f4b24af0b94b8bcf572873002bfa3f143e4"},"schema_version":"1.0"},"canonical_sha256":"3ece40ca161883dcfb27d10a9fda7a727b1104751c47a6a40428dfb5e94c2b41","source":{"kind":"arxiv","id":"2605.14218","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14218","created_at":"2026-05-17T23:39:10Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14218v1","created_at":"2026-05-17T23:39:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14218","created_at":"2026-05-17T23:39:10Z"},{"alias_kind":"pith_short_12","alias_value":"H3HEBSQWDCB5","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"H3HEBSQWDCB5Z6ZH","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"H3HEBSQW","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ","target":"record","payload":{"canonical_record":{"source":{"id":"2605.14218","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-14T00:26:32Z","cross_cats_sorted":["physics.soc-ph"],"title_canon_sha256":"b2804448c4365bcea2d08ddc8390dfe3ea8e0e23c6065f7af6d673e9e433a265","abstract_canon_sha256":"a8d7e31dd133152178e38700d8bc5f4b24af0b94b8bcf572873002bfa3f143e4"},"schema_version":"1.0"},"canonical_sha256":"3ece40ca161883dcfb27d10a9fda7a727b1104751c47a6a40428dfb5e94c2b41","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:10.855445Z","signature_b64":"BQ+sDMKSPOzDX1yda5Tu1RlESHl70V5MOXuAEcZGR2DdpHUpPFvx63HE45YRDP+jNw0QVPegJE2ive7Qt4GTAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ece40ca161883dcfb27d10a9fda7a727b1104751c47a6a40428dfb5e94c2b41","last_reissued_at":"2026-05-17T23:39:10.854636Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:10.854636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.14218","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":"2026-05-17T23:39:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q2tIo6kmYEhBi/vNoryCcfAcK1H/2Av48VG/BXCYw+8CKgD5zcwG9Fxr8xXdPHpj/ApAvTmwFyPFWu0D9yQpAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:16:42.427619Z"},"content_sha256":"1b80ce047b3a6aa8a59eddc3243574d7d828dc23ea5c5937bb3db74bcb536ff5","schema_version":"1.0","event_id":"sha256:1b80ce047b3a6aa8a59eddc3243574d7d828dc23ea5c5937bb3db74bcb536ff5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fusion-fission forecasts when AI will shift to undesirable behavior","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"A vector generalization of fusion-fission group dynamics forecasts when AI behavior shifts from desirable to undesirable.","cross_cats":["physics.soc-ph"],"primary_cat":"cs.AI","authors_text":"Frank Yingjie Huo, Neil F. Johnson","submitted_at":"2026-05-14T00:26:32Z","abstract_excerpt":"The key problem facing ChatGPT-like AI's use across society is that its behavior can shift, unnoticed, from desirable to undesirable -- encouraging self-harm, extremist acts, financial losses, or costly medical and military mistakes -- and no one can yet predict when. Shifts persist in even the newest AI models despite remarkable progress in AI modeling, post-training alignment and safeguards. Here we show that a vector generalization of fusion-fission group dynamics observed in living and active-matter systems drives -- and can forecast -- future shifts in the AI's behavior. The shift conditi"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"a vector generalization of fusion-fission group dynamics observed in living and active-matter systems drives -- and can forecast -- future shifts in the AI's behavior. The shift condition... results from group-level competition between the conversation-so-far (C) and the desirable (B) and undesirable (D) basin dynamics which can be estimated in advance for a given application.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the desirable (B) and undesirable (D) basin dynamics can be estimated in advance for any given application and that the vector generalization of fusion-fission dynamics actually governs AI conversation trajectories rather than merely correlating with them after the fact.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"A vector generalization of fusion-fission group dynamics from physics forecasts when AI behavior shifts to undesirable states, validated at 90 percent across seven models and prior to real-world data.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A vector generalization of fusion-fission group dynamics forecasts when AI behavior shifts from desirable to undesirable.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"b023d5ada952a8fa9d5c68d0eb83370c0f80f7370c852e557c6fa2c4ef51a6d8"},"source":{"id":"2605.14218","kind":"arxiv","version":1},"verdict":{"id":"417a8423-7824-44aa-9264-67d88e6db387","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-15T02:37:43.840844Z","strongest_claim":"a vector generalization of fusion-fission group dynamics observed in living and active-matter systems drives -- and can forecast -- future shifts in the AI's behavior. The shift condition... results from group-level competition between the conversation-so-far (C) and the desirable (B) and undesirable (D) basin dynamics which can be estimated in advance for a given application.","one_line_summary":"A vector generalization of fusion-fission group dynamics from physics forecasts when AI behavior shifts to undesirable states, validated at 90 percent across seven models and prior to real-world data.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the desirable (B) and undesirable (D) basin dynamics can be estimated in advance for any given application and that the vector generalization of fusion-fission dynamics actually governs AI conversation trajectories rather than merely correlating with them after the fact.","pith_extraction_headline":"A vector generalization of fusion-fission group dynamics forecasts when AI behavior shifts from desirable to undesirable."},"references":{"count":57,"sample":[{"doi":"","year":2025,"title":"CCDH report, 6 August 2025.https://counterhate.com/re search/fake-friend-chatgpt/","work_id":"2aed709b-2779-470e-bb43-24e016a685dd","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2026,"title":"URL http://arxiv.org/abs/2603.16567","work_id":"ec68e169-9fe1-4435-aafd-4fd39a381d53","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2026,"title":"CCDH report, 11 March 2026.https://counterhate.com/research /killer-apps/","work_id":"e7faa678-5ff5-45bc-b9e5-d0e1e323363f","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2026,"title":"O’Donnell, The new war room.MIT Technology Review(21 April 2026).https://www.tech nologyreview.com/2026/04/21/1135667/new-war-room-military-ai-artificial-intel ligence/","work_id":"d5fd477b-f0ff-45d9-8f04-1e1b164d0bde","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2021,"title":"Elhage et al., A mathematical framework for transformer circuits.Transformer Circuits Thread(2021).https://transformer-circuits.pub/2021/framework/index.html","work_id":"938b6822-6775-4a54-a2d0-fa0a1611a502","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":57,"snapshot_sha256":"d1a04d2cf202dd2011159969712f0ac793f1a334a6053c82bbfb66aa63d6669b","internal_anchors":8},"formal_canon":{"evidence_count":2,"snapshot_sha256":"f330782264ef07f070ff9cec27d427c459b5473a58fca5caf28cbe1d88c90412"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":"417a8423-7824-44aa-9264-67d88e6db387"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:39:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hHZleMYQzB3CBdYb8L7bgJ0tMeRDLvbfElA09JPlHAMBndQfKspaU+GISbpActU5YVRT6SfQpW1veZ5zJOVXDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:16:42.428431Z"},"content_sha256":"ce9a8c1d4e5aec029275b94d4ba106d8d5b1dff17526b20cb5123578a140c444","schema_version":"1.0","event_id":"sha256:ce9a8c1d4e5aec029275b94d4ba106d8d5b1dff17526b20cb5123578a140c444"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ/bundle.json","state_url":"https://pith.science/pith/H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ/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":"2026-08-10T20:16:42Z","links":{"resolver":"https://pith.science/pith/H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ","bundle":"https://pith.science/pith/H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ/bundle.json","state":"https://pith.science/pith/H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:H3HEBSQWDCB5Z6ZH2EFJ7WT2OJ","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":"a8d7e31dd133152178e38700d8bc5f4b24af0b94b8bcf572873002bfa3f143e4","cross_cats_sorted":["physics.soc-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-14T00:26:32Z","title_canon_sha256":"b2804448c4365bcea2d08ddc8390dfe3ea8e0e23c6065f7af6d673e9e433a265"},"schema_version":"1.0","source":{"id":"2605.14218","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14218","created_at":"2026-05-17T23:39:10Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14218v1","created_at":"2026-05-17T23:39:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14218","created_at":"2026-05-17T23:39:10Z"},{"alias_kind":"pith_short_12","alias_value":"H3HEBSQWDCB5","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"H3HEBSQWDCB5Z6ZH","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"H3HEBSQW","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:ce9a8c1d4e5aec029275b94d4ba106d8d5b1dff17526b20cb5123578a140c444","target":"graph","created_at":"2026-05-17T23:39:10Z","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":"a vector generalization of fusion-fission group dynamics observed in living and active-matter systems drives -- and can forecast -- future shifts in the AI's behavior. The shift condition... results from group-level competition between the conversation-so-far (C) and the desirable (B) and undesirable (D) basin dynamics which can be estimated in advance for a given application."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That the desirable (B) and undesirable (D) basin dynamics can be estimated in advance for any given application and that the vector generalization of fusion-fission dynamics actually governs AI conversation trajectories rather than merely correlating with them after the fact."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"A vector generalization of fusion-fission group dynamics from physics forecasts when AI behavior shifts to undesirable states, validated at 90 percent across seven models and prior to real-world data."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"A vector generalization of fusion-fission group dynamics forecasts when AI behavior shifts from desirable to undesirable."}],"snapshot_sha256":"b023d5ada952a8fa9d5c68d0eb83370c0f80f7370c852e557c6fa2c4ef51a6d8"},"formal_canon":{"evidence_count":2,"snapshot_sha256":"f330782264ef07f070ff9cec27d427c459b5473a58fca5caf28cbe1d88c90412"},"paper":{"abstract_excerpt":"The key problem facing ChatGPT-like AI's use across society is that its behavior can shift, unnoticed, from desirable to undesirable -- encouraging self-harm, extremist acts, financial losses, or costly medical and military mistakes -- and no one can yet predict when. Shifts persist in even the newest AI models despite remarkable progress in AI modeling, post-training alignment and safeguards. Here we show that a vector generalization of fusion-fission group dynamics observed in living and active-matter systems drives -- and can forecast -- future shifts in the AI's behavior. The shift conditi","authors_text":"Frank Yingjie Huo, Neil F. Johnson","cross_cats":["physics.soc-ph"],"headline":"A vector generalization of fusion-fission group dynamics forecasts when AI behavior shifts from desirable to undesirable.","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-14T00:26:32Z","title":"Fusion-fission forecasts when AI will shift to undesirable behavior"},"references":{"count":57,"internal_anchors":8,"resolved_work":57,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"CCDH report, 6 August 2025.https://counterhate.com/re search/fake-friend-chatgpt/","work_id":"2aed709b-2779-470e-bb43-24e016a685dd","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":2,"title":"URL http://arxiv.org/abs/2603.16567","work_id":"ec68e169-9fe1-4435-aafd-4fd39a381d53","year":2026},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"CCDH report, 11 March 2026.https://counterhate.com/research /killer-apps/","work_id":"e7faa678-5ff5-45bc-b9e5-d0e1e323363f","year":2026},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"O’Donnell, The new war room.MIT Technology Review(21 April 2026).https://www.tech nologyreview.com/2026/04/21/1135667/new-war-room-military-ai-artificial-intel ligence/","work_id":"d5fd477b-f0ff-45d9-8f04-1e1b164d0bde","year":2026},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"Elhage et al., A mathematical framework for transformer circuits.Transformer Circuits Thread(2021).https://transformer-circuits.pub/2021/framework/index.html","work_id":"938b6822-6775-4a54-a2d0-fa0a1611a502","year":2021}],"snapshot_sha256":"d1a04d2cf202dd2011159969712f0ac793f1a334a6053c82bbfb66aa63d6669b"},"source":{"id":"2605.14218","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-15T02:37:43.840844Z","id":"417a8423-7824-44aa-9264-67d88e6db387","model_set":{"reader":"grok-4.3"},"one_line_summary":"A vector generalization of fusion-fission group dynamics from physics forecasts when AI behavior shifts to undesirable states, validated at 90 percent across seven models and prior to real-world data.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"A vector generalization of fusion-fission group dynamics forecasts when AI behavior shifts from desirable to undesirable.","strongest_claim":"a vector generalization of fusion-fission group dynamics observed in living and active-matter systems drives -- and can forecast -- future shifts in the AI's behavior. The shift condition... results from group-level competition between the conversation-so-far (C) and the desirable (B) and undesirable (D) basin dynamics which can be estimated in advance for a given application.","weakest_assumption":"That the desirable (B) and undesirable (D) basin dynamics can be estimated in advance for any given application and that the vector generalization of fusion-fission dynamics actually governs AI conversation trajectories rather than merely correlating with them after the fact."}},"verdict_id":"417a8423-7824-44aa-9264-67d88e6db387"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1b80ce047b3a6aa8a59eddc3243574d7d828dc23ea5c5937bb3db74bcb536ff5","target":"record","created_at":"2026-05-17T23:39:10Z","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":"a8d7e31dd133152178e38700d8bc5f4b24af0b94b8bcf572873002bfa3f143e4","cross_cats_sorted":["physics.soc-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-14T00:26:32Z","title_canon_sha256":"b2804448c4365bcea2d08ddc8390dfe3ea8e0e23c6065f7af6d673e9e433a265"},"schema_version":"1.0","source":{"id":"2605.14218","kind":"arxiv","version":1}},"canonical_sha256":"3ece40ca161883dcfb27d10a9fda7a727b1104751c47a6a40428dfb5e94c2b41","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ece40ca161883dcfb27d10a9fda7a727b1104751c47a6a40428dfb5e94c2b41","first_computed_at":"2026-05-17T23:39:10.854636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:10.854636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BQ+sDMKSPOzDX1yda5Tu1RlESHl70V5MOXuAEcZGR2DdpHUpPFvx63HE45YRDP+jNw0QVPegJE2ive7Qt4GTAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:10.855445Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.14218","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b80ce047b3a6aa8a59eddc3243574d7d828dc23ea5c5937bb3db74bcb536ff5","sha256:ce9a8c1d4e5aec029275b94d4ba106d8d5b1dff17526b20cb5123578a140c444"],"state_sha256":"bc697dcc21740cc161f92623348e0aeb1667aa14ce2f89ccc927798e62329c5b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bsSP4KyrhCNBUZaiHffdvZQswvx0ghfxQ3SNnkC3L27zk6vECIxiO8rMWogBTcasrTNhvfXclHP0agdyrQkPCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:16:42.432446Z","bundle_sha256":"5150c917b52146c8475f834155b5b3d5d26bd99fc76ce50ca99820cdae279d90"}}