{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:4A66SVTMKB6EBAUHC5WUVORVQ7","short_pith_number":"pith:4A66SVTM","canonical_record":{"source":{"id":"2605.15245","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-05-14T10:46:51Z","cross_cats_sorted":[],"title_canon_sha256":"0d8a86953e9acbb52a7a4bbd1d59b34156da75890d3b03f60803ba1401b8ba13","abstract_canon_sha256":"c822a3c777ef25c5b783d3bd72caa2f4622c258121f4405ad81a57d5f06874aa"},"schema_version":"1.0"},"canonical_sha256":"e03de9566c507c408287176d4aba3587e81f53a0350e1152fac2a68dad25ea55","source":{"kind":"arxiv","id":"2605.15245","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15245","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15245v1","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15245","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_12","alias_value":"4A66SVTMKB6E","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_16","alias_value":"4A66SVTMKB6EBAUH","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_8","alias_value":"4A66SVTM","created_at":"2026-05-20T00:00:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:4A66SVTMKB6EBAUHC5WUVORVQ7","target":"record","payload":{"canonical_record":{"source":{"id":"2605.15245","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-05-14T10:46:51Z","cross_cats_sorted":[],"title_canon_sha256":"0d8a86953e9acbb52a7a4bbd1d59b34156da75890d3b03f60803ba1401b8ba13","abstract_canon_sha256":"c822a3c777ef25c5b783d3bd72caa2f4622c258121f4405ad81a57d5f06874aa"},"schema_version":"1.0"},"canonical_sha256":"e03de9566c507c408287176d4aba3587e81f53a0350e1152fac2a68dad25ea55","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:00:48.192080Z","signature_b64":"WMgWkCha8/ZwEdTMX/fgkXx7duWW0fI2bWZ31rxD1F8oTijkBkNKVvLhIJLmAaZbt/esQ87frSEokrkomTFSDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e03de9566c507c408287176d4aba3587e81f53a0350e1152fac2a68dad25ea55","last_reissued_at":"2026-05-20T00:00:48.191146Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:00:48.191146Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.15245","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":"2026-05-20T00:00:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fgQKU0N8y9BDbFM8//O9IYKLfc8zZ1XEitB2NBvZdyMePxwh5c/UoQPiNgob6bUOFXgzd4rSjVXlKdFWexceBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:24:02.491715Z"},"content_sha256":"f653308d79e26f3015d4d3283fb4c66cb91680d6605787efc149969cb00e913a","schema_version":"1.0","event_id":"sha256:f653308d79e26f3015d4d3283fb4c66cb91680d6605787efc149969cb00e913a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:4A66SVTMKB6EBAUHC5WUVORVQ7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"Output verifiability enables agentic AI adoption mainly in later software development phases.","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Helena Holmstr\\\"om Olsson, Jan Bosch, Spyridon Alvanakis Apostolou","submitted_at":"2026-05-14T10:46:51Z","abstract_excerpt":"Agentic AI in software product development is increasingly adopted by organizations, yet the field lacks a consolidated synthesis of where adoption is mature, which architectural patterns dominate, and what limitations and coping mechanisms exist in industrial deployments. This systematic literature review addresses these gaps by establishing a body of knowledge as a starting point. Following Kitchenham guidelines, we queried four major research databases, obtaining over 1600 candidate publications. To handle this volume, we developed and validated a domain-agnostic multi-agent screening pipel"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"output verifiability is the primary enabler of agentic adoption: later SDLC phases, whose outputs are objectively evaluable through executable feedback, demonstrate the highest maturity and industrial presence, while earlier phases remain almost exclusively academic proofs-of-concept.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The 92 manually verified primary studies, after multi-agent screening of over 1600 candidates, form a representative and unbiased sample whose thematic synthesis accurately reflects dominant patterns and industrial practices without significant omission of key work.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Systematic review of agentic AI in the SDLC finds output verifiability drives industrial adoption in later phases, with Planner-Executor-Reviewer as the dominant pattern, plus a new multi-agent LLM screening pipeline for high-volume SLRs.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Output verifiability enables agentic AI adoption mainly in later software development phases.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"95251ed4f4f53348d1b1edadbcca50fa230739e19fa9af557539d32d6e49fc0f"},"source":{"id":"2605.15245","kind":"arxiv","version":1},"verdict":{"id":"58398205-9796-4f03-91b0-7730097dd60c","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-19T16:22:24.733504Z","strongest_claim":"output verifiability is the primary enabler of agentic adoption: later SDLC phases, whose outputs are objectively evaluable through executable feedback, demonstrate the highest maturity and industrial presence, while earlier phases remain almost exclusively academic proofs-of-concept.","one_line_summary":"Systematic review of agentic AI in the SDLC finds output verifiability drives industrial adoption in later phases, with Planner-Executor-Reviewer as the dominant pattern, plus a new multi-agent LLM screening pipeline for high-volume SLRs.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The 92 manually verified primary studies, after multi-agent screening of over 1600 candidates, form a representative and unbiased sample whose thematic synthesis accurately reflects dominant patterns and industrial practices without significant omission of key work.","pith_extraction_headline":"Output verifiability enables agentic AI adoption mainly in later software development phases."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.15245/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"doi_compliance","ran_at":"2026-05-19T16:36:28.763825Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_title_agreement","ran_at":"2026-05-19T16:31:18.452911Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T15:41:54.409551Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T13:33:22.820741Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"b49ed33e2a93b17566f403138598e910a5d743da5191375110bd4bd40ae39579"},"references":{"count":33,"sample":[{"doi":"","year":2025,"title":"IEEE Access13, 18912–18936 (2025), https://ieeexplore.ieee.org/abstract/document/10849561","work_id":"ad2afa48-4985-4442-be00-4d29005e859e","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2025,"title":"In: 2025 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE)","work_id":"da4ea02a-d356-4fda-8fbf-a37e2afd51e6","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2025,"title":"Akbar, M.A., Khan, A.A., Hamza, M., et al.: Agentic AI in Software Engineering: Practitioner Perspectives Across the Software Development Life Cycle (Sep 2025), https://papers.ssrn.com/abstract=552015","work_id":"06f3a2ea-0884-4ed9-9c89-ff36cf630d34","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2025,"title":"Future Internet17(9) (Sep 2025),https://www.mdpi.com/1999-5903/ 17/9/404","work_id":"adae54de-796d-4f56-880b-15d170b6f1d3","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2025,"title":"Measuring the impact of early-2025 AI on experienced open-source developer productivity.CoRR, abs/2507.09089","work_id":"5cc62c11-dd1e-43cc-83ff-88186859b97d","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":33,"snapshot_sha256":"799c0d87ee5ff3ab021e1aa79329f3b5430fe255f9b90c692446b92d28b08fbe","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":"58398205-9796-4f03-91b0-7730097dd60c"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:00:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kyen16vtW5xgcczYe5dIOZ0npdq5DCsRWjclriOXPU/YLXAYZ6/O/ThndDmCjT00TrOnK2BfIi8XHp2Byo1BAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:24:02.493125Z"},"content_sha256":"e3ffddd178b08462cc473e597a4577f05bb16c64081fdb31d0b7752cc54fd0fc","schema_version":"1.0","event_id":"sha256:e3ffddd178b08462cc473e597a4577f05bb16c64081fdb31d0b7752cc54fd0fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4A66SVTMKB6EBAUHC5WUVORVQ7/bundle.json","state_url":"https://pith.science/pith/4A66SVTMKB6EBAUHC5WUVORVQ7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4A66SVTMKB6EBAUHC5WUVORVQ7/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":"2026-05-26T14:24:02Z","links":{"resolver":"https://pith.science/pith/4A66SVTMKB6EBAUHC5WUVORVQ7","bundle":"https://pith.science/pith/4A66SVTMKB6EBAUHC5WUVORVQ7/bundle.json","state":"https://pith.science/pith/4A66SVTMKB6EBAUHC5WUVORVQ7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4A66SVTMKB6EBAUHC5WUVORVQ7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4A66SVTMKB6EBAUHC5WUVORVQ7","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":"c822a3c777ef25c5b783d3bd72caa2f4622c258121f4405ad81a57d5f06874aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-05-14T10:46:51Z","title_canon_sha256":"0d8a86953e9acbb52a7a4bbd1d59b34156da75890d3b03f60803ba1401b8ba13"},"schema_version":"1.0","source":{"id":"2605.15245","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15245","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15245v1","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15245","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_12","alias_value":"4A66SVTMKB6E","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_16","alias_value":"4A66SVTMKB6EBAUH","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_8","alias_value":"4A66SVTM","created_at":"2026-05-20T00:00:48Z"}],"graph_snapshots":[{"event_id":"sha256:e3ffddd178b08462cc473e597a4577f05bb16c64081fdb31d0b7752cc54fd0fc","target":"graph","created_at":"2026-05-20T00:00:48Z","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":"output verifiability is the primary enabler of agentic adoption: later SDLC phases, whose outputs are objectively evaluable through executable feedback, demonstrate the highest maturity and industrial presence, while earlier phases remain almost exclusively academic proofs-of-concept."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"The 92 manually verified primary studies, after multi-agent screening of over 1600 candidates, form a representative and unbiased sample whose thematic synthesis accurately reflects dominant patterns and industrial practices without significant omission of key work."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"Systematic review of agentic AI in the SDLC finds output verifiability drives industrial adoption in later phases, with Planner-Executor-Reviewer as the dominant pattern, plus a new multi-agent LLM screening pipeline for high-volume SLRs."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"Output verifiability enables agentic AI adoption mainly in later software development phases."}],"snapshot_sha256":"95251ed4f4f53348d1b1edadbcca50fa230739e19fa9af557539d32d6e49fc0f"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[{"findings_count":0,"name":"doi_compliance","ran_at":"2026-05-19T16:36:28.763825Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"doi_title_agreement","ran_at":"2026-05-19T16:31:18.452911Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T15:41:54.409551Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T13:33:22.820741Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.15245/integrity.json","findings":[],"snapshot_sha256":"b49ed33e2a93b17566f403138598e910a5d743da5191375110bd4bd40ae39579","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Agentic AI in software product development is increasingly adopted by organizations, yet the field lacks a consolidated synthesis of where adoption is mature, which architectural patterns dominate, and what limitations and coping mechanisms exist in industrial deployments. This systematic literature review addresses these gaps by establishing a body of knowledge as a starting point. Following Kitchenham guidelines, we queried four major research databases, obtaining over 1600 candidate publications. To handle this volume, we developed and validated a domain-agnostic multi-agent screening pipel","authors_text":"Helena Holmstr\\\"om Olsson, Jan Bosch, Spyridon Alvanakis Apostolou","cross_cats":[],"headline":"Output verifiability enables agentic AI adoption mainly in later software development phases.","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-05-14T10:46:51Z","title":"Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle"},"references":{"count":33,"internal_anchors":2,"resolved_work":33,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"IEEE Access13, 18912–18936 (2025), https://ieeexplore.ieee.org/abstract/document/10849561","work_id":"ad2afa48-4985-4442-be00-4d29005e859e","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":2,"title":"In: 2025 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE)","work_id":"da4ea02a-d356-4fda-8fbf-a37e2afd51e6","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"Akbar, M.A., Khan, A.A., Hamza, M., et al.: Agentic AI in Software Engineering: Practitioner Perspectives Across the Software Development Life Cycle (Sep 2025), https://papers.ssrn.com/abstract=552015","work_id":"06f3a2ea-0884-4ed9-9c89-ff36cf630d34","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"Future Internet17(9) (Sep 2025),https://www.mdpi.com/1999-5903/ 17/9/404","work_id":"adae54de-796d-4f56-880b-15d170b6f1d3","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"Measuring the impact of early-2025 AI on experienced open-source developer productivity.CoRR, abs/2507.09089","work_id":"5cc62c11-dd1e-43cc-83ff-88186859b97d","year":2025}],"snapshot_sha256":"799c0d87ee5ff3ab021e1aa79329f3b5430fe255f9b90c692446b92d28b08fbe"},"source":{"id":"2605.15245","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-19T16:22:24.733504Z","id":"58398205-9796-4f03-91b0-7730097dd60c","model_set":{"reader":"grok-4.3"},"one_line_summary":"Systematic review of agentic AI in the SDLC finds output verifiability drives industrial adoption in later phases, with Planner-Executor-Reviewer as the dominant pattern, plus a new multi-agent LLM screening pipeline for high-volume SLRs.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"Output verifiability enables agentic AI adoption mainly in later software development phases.","strongest_claim":"output verifiability is the primary enabler of agentic adoption: later SDLC phases, whose outputs are objectively evaluable through executable feedback, demonstrate the highest maturity and industrial presence, while earlier phases remain almost exclusively academic proofs-of-concept.","weakest_assumption":"The 92 manually verified primary studies, after multi-agent screening of over 1600 candidates, form a representative and unbiased sample whose thematic synthesis accurately reflects dominant patterns and industrial practices without significant omission of key work."}},"verdict_id":"58398205-9796-4f03-91b0-7730097dd60c"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f653308d79e26f3015d4d3283fb4c66cb91680d6605787efc149969cb00e913a","target":"record","created_at":"2026-05-20T00:00:48Z","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":"c822a3c777ef25c5b783d3bd72caa2f4622c258121f4405ad81a57d5f06874aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-05-14T10:46:51Z","title_canon_sha256":"0d8a86953e9acbb52a7a4bbd1d59b34156da75890d3b03f60803ba1401b8ba13"},"schema_version":"1.0","source":{"id":"2605.15245","kind":"arxiv","version":1}},"canonical_sha256":"e03de9566c507c408287176d4aba3587e81f53a0350e1152fac2a68dad25ea55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e03de9566c507c408287176d4aba3587e81f53a0350e1152fac2a68dad25ea55","first_computed_at":"2026-05-20T00:00:48.191146Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:00:48.191146Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WMgWkCha8/ZwEdTMX/fgkXx7duWW0fI2bWZ31rxD1F8oTijkBkNKVvLhIJLmAaZbt/esQ87frSEokrkomTFSDw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:00:48.192080Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15245","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f653308d79e26f3015d4d3283fb4c66cb91680d6605787efc149969cb00e913a","sha256:e3ffddd178b08462cc473e597a4577f05bb16c64081fdb31d0b7752cc54fd0fc"],"state_sha256":"f413d325c8db4c15fcf16df3c912215818c278389be6004f838f11e6a778ca7f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B2JYVjvP1Zr6t/matdFfp6/U3EnZDfgy/Eb+Uwjr71y7+mHILX+meNykottNM6uZZQyC+J7bQtDnSR8axkpGCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T14:24:02.498281Z","bundle_sha256":"266bccb6f934a7b397248b2d4f1fa00aa2cac112fd9b78adfa1ac5dda0a654c7"}}