{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XPTHLDAOZXVOJDLFZS4N7CM5VZ","short_pith_number":"pith:XPTHLDAO","canonical_record":{"source":{"id":"2607.23886","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-26T23:12:06Z","cross_cats_sorted":["cs.AI","cs.CL","cs.DL","cs.IR"],"title_canon_sha256":"92e7546f738c2f3758945f6d2a5d7bf82ef05401ea04632950b71b5b0925f676","abstract_canon_sha256":"e70ef3a5474b92fb4900361f6cd183737f83918265a4969600f688cdc739b378"},"schema_version":"1.0"},"canonical_sha256":"bbe6758c0ecdeae48d65ccb8df899dae41fb19c79cd8399e5b9d12e9b8aa5356","source":{"kind":"arxiv","id":"2607.23886","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.23886","created_at":"2026-07-28T01:23:16Z"},{"alias_kind":"arxiv_version","alias_value":"2607.23886v1","created_at":"2026-07-28T01:23:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23886","created_at":"2026-07-28T01:23:16Z"},{"alias_kind":"pith_short_12","alias_value":"XPTHLDAOZXVO","created_at":"2026-07-28T01:23:16Z"},{"alias_kind":"pith_short_16","alias_value":"XPTHLDAOZXVOJDLF","created_at":"2026-07-28T01:23:16Z"},{"alias_kind":"pith_short_8","alias_value":"XPTHLDAO","created_at":"2026-07-28T01:23:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XPTHLDAOZXVOJDLFZS4N7CM5VZ","target":"record","payload":{"canonical_record":{"source":{"id":"2607.23886","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-26T23:12:06Z","cross_cats_sorted":["cs.AI","cs.CL","cs.DL","cs.IR"],"title_canon_sha256":"92e7546f738c2f3758945f6d2a5d7bf82ef05401ea04632950b71b5b0925f676","abstract_canon_sha256":"e70ef3a5474b92fb4900361f6cd183737f83918265a4969600f688cdc739b378"},"schema_version":"1.0"},"canonical_sha256":"bbe6758c0ecdeae48d65ccb8df899dae41fb19c79cd8399e5b9d12e9b8aa5356","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T01:23:16.147494Z","signature_b64":"ntlHXvEshrW3X9ZVlKoc+tWZhQH7XSreyQjcwmsiL/zEX9apMyZurDd5GgE1QaV/up8PU1sdYmkDQyTF35iYDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bbe6758c0ecdeae48d65ccb8df899dae41fb19c79cd8399e5b9d12e9b8aa5356","last_reissued_at":"2026-07-28T01:23:16.146641Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T01:23:16.146641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.23886","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":"2026-07-28T01:23:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y6kPnt2N6AMC3YsJ5qag8gWRNsLOmdLR5s6m88HEF6uivI6tlYCBowN4wfw2OtmDUFchGdREX+kUeyooEBKtBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T15:19:46.528482Z"},"content_sha256":"d22ff14fe0ff3ff93d8fc99dcd7642d800fcb03b0af798ee64f5f89eb9555702","schema_version":"1.0","event_id":"sha256:d22ff14fe0ff3ff93d8fc99dcd7642d800fcb03b0af798ee64f5f89eb9555702"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XPTHLDAOZXVOJDLFZS4N7CM5VZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.DL","cs.IR"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Aikaterini Vriza, Anubhav Jain, Gerbrand Ceder, Ian T. Foster, Logan Ward, Maria K. Y. Chan, Rajeev S. Assary, Tanjin He, Xu Huang, Yiming Chen","submitted_at":"2026-07-26T23:12:06Z","abstract_excerpt":"X-ray absorption spectroscopy (XAS) is central to understanding the local electronic and atomic structure of materials, yet most published spectra remain inaccessible to data-driven analysis because they are embedded in figures and described through fragmented textual context in the literature. Here, we use multimodal (image and text) literature mining to transform this dispersed knowledge into an AI-ready experimental data resource. We developed a scalable spectroscopy data digitization pipeline that identifies XAS figures in full-text articles, digitizes spectral curves, and links each spect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23886","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/2607.23886/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":"2026-07-28T01:23:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sE+Ntj4cbR89AiBNe21nqL1se3xUczxly5xPi+HzU6kjuoZx9RWsasf1ypJj6flnTR2UlSnqQXmOVYat30dzDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T15:19:46.528998Z"},"content_sha256":"c119faa26d63513cc7de32dfe3c096ddf598cca4816cc26134db1df6c61f32dd","schema_version":"1.0","event_id":"sha256:c119faa26d63513cc7de32dfe3c096ddf598cca4816cc26134db1df6c61f32dd"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:XPTHLDAOZXVOJDLFZS4N7CM5VZ","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1021/acsnano.5c16942 resolves to 'Revealing Local Structures through Machine-Learning-Fused Multimodal Spectroscopy'. A reader following the printed text alone cannot reach it.","snippet":"Jia, H.et al.Revealing local structures through machine-learning-fused multimodal spectroscopy.ACS Nano20, 4228–4240 (2026). URL https://doi.org/10.1021/acsn ano.5c16942","arxiv_id":"2607.23886","detector":"doi_compliance","evidence":{"ref_index":7,"verdict_class":"incontrovertible","resolved_title":"Revealing Local Structures through Machine-Learning-Fused Multimodal Spectroscopy","printed_excerpt":"10.1021/acsn","reconstructed_doi":"10.1021/acsnano.5c16942"},"severity":"advisory","ref_index":7,"audited_at":"2026-08-03T02:00:13.605324Z","event_type":"pith.integrity.v1","detected_doi":"10.1021/acsnano.5c16942","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"7ff1f1b7109e33dfe877c85292c30e90f0ab1c41aca560aa1d6a6cdb5efa2a12","paper_version":3,"verdict_class":"incontrovertible","resolved_title":"Revealing Local Structures through Machine-Learning-Fused Multimodal Spectroscopy","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":17526,"payload_sha256":"832f774912a0e8a83e402d90622d31c52afc541af629bfebd445e18414aacf8e","signature_b64":"5W2rFAOal2+utjQ62Jzv7/+fwSlzxBj/Th9z9PGUnxfGVFAUKfuoNix8wY7a9hZBzVDA8Oy6GqPWcCb53IDMCg==","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":"2026-08-03T02:03:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pnmIEyZFL+91COOttmXV4CI129bF2n+/JlbfKnsH72Jx1G+CyVWpn+NuiX4h5ffjuMG/GR/G4NzNeuRZwSRHDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T15:19:46.533474Z"},"content_sha256":"eb6612b65e0a12cc335a0a214b35b68adfd890e8781aacd3aff6a3ae17b9229b","schema_version":"1.0","event_id":"sha256:eb6612b65e0a12cc335a0a214b35b68adfd890e8781aacd3aff6a3ae17b9229b"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:XPTHLDAOZXVOJDLFZS4N7CM5VZ","target":"integrity","payload":{"note":"Identifier '10.26302/sshade/fame(2016' 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":"Kieffer, I. & Testemale, D. SSHADE/FAME: “French absorption spectroscopy beamline in material and environmental science” database service. SSHADE (OSUG Data Center). Service/Database.https://doi.org/10.26302/SSHADE/FAME(2016). 20","arxiv_id":"2607.23886","detector":"doi_compliance","evidence":{"doi":"10.26302/sshade/fame(2016","arxiv_id":null,"ref_index":5,"raw_excerpt":"Kieffer, I. & Testemale, D. SSHADE/FAME: “French absorption spectroscopy beamline in material and environmental science” database service. SSHADE (OSUG Data Center). Service/Database.https://doi.org/10.26302/SSHADE/FAME(2016). 20","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":5,"audited_at":"2026-08-03T02:00:13.605324Z","event_type":"pith.integrity.v1","detected_doi":"10.26302/sshade/fame(2016","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"fa0529f86615e63e7089b136f0c6ced53eda8a0257598b4c58601cb9358cdeeb","paper_version":3,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":17525,"payload_sha256":"50eb0832b70ae6799a138c9758bdda34ccd16936dc9a8a7df284046c1a3842c4","signature_b64":"qx3PxwuiTTY8ZfRveT3Bua/UDbAJzQK67/BD7Qo9TI1LFhyzwyED4RbcpIbWFkzYqNLMghldrHB/i7nS0zVUDA==","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":"2026-08-03T02:03:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fozn5dSVLGIUA/F24mas9vOx8XdBHB7NQya8IXEWbXJH02MSNV28459OB1WAUMnLYjfj05LPm7qfmR1VmIu2CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T15:19:46.533958Z"},"content_sha256":"557d721b5f98f2508f8c23dff61ef6a3ddba2c516827794751b1c8e2abbe2ada","schema_version":"1.0","event_id":"sha256:557d721b5f98f2508f8c23dff61ef6a3ddba2c516827794751b1c8e2abbe2ada"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XPTHLDAOZXVOJDLFZS4N7CM5VZ/bundle.json","state_url":"https://pith.science/pith/XPTHLDAOZXVOJDLFZS4N7CM5VZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XPTHLDAOZXVOJDLFZS4N7CM5VZ/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":"2026-08-15T15:19:46Z","links":{"resolver":"https://pith.science/pith/XPTHLDAOZXVOJDLFZS4N7CM5VZ","bundle":"https://pith.science/pith/XPTHLDAOZXVOJDLFZS4N7CM5VZ/bundle.json","state":"https://pith.science/pith/XPTHLDAOZXVOJDLFZS4N7CM5VZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XPTHLDAOZXVOJDLFZS4N7CM5VZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XPTHLDAOZXVOJDLFZS4N7CM5VZ","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":"e70ef3a5474b92fb4900361f6cd183737f83918265a4969600f688cdc739b378","cross_cats_sorted":["cs.AI","cs.CL","cs.DL","cs.IR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-26T23:12:06Z","title_canon_sha256":"92e7546f738c2f3758945f6d2a5d7bf82ef05401ea04632950b71b5b0925f676"},"schema_version":"1.0","source":{"id":"2607.23886","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.23886","created_at":"2026-07-28T01:23:16Z"},{"alias_kind":"arxiv_version","alias_value":"2607.23886v1","created_at":"2026-07-28T01:23:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23886","created_at":"2026-07-28T01:23:16Z"},{"alias_kind":"pith_short_12","alias_value":"XPTHLDAOZXVO","created_at":"2026-07-28T01:23:16Z"},{"alias_kind":"pith_short_16","alias_value":"XPTHLDAOZXVOJDLF","created_at":"2026-07-28T01:23:16Z"},{"alias_kind":"pith_short_8","alias_value":"XPTHLDAO","created_at":"2026-07-28T01:23:16Z"}],"graph_snapshots":[{"event_id":"sha256:c119faa26d63513cc7de32dfe3c096ddf598cca4816cc26134db1df6c61f32dd","target":"graph","created_at":"2026-07-28T01:23:16Z","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/2607.23886/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"X-ray absorption spectroscopy (XAS) is central to understanding the local electronic and atomic structure of materials, yet most published spectra remain inaccessible to data-driven analysis because they are embedded in figures and described through fragmented textual context in the literature. Here, we use multimodal (image and text) literature mining to transform this dispersed knowledge into an AI-ready experimental data resource. We developed a scalable spectroscopy data digitization pipeline that identifies XAS figures in full-text articles, digitizes spectral curves, and links each spect","authors_text":"Aikaterini Vriza, Anubhav Jain, Gerbrand Ceder, Ian T. Foster, Logan Ward, Maria K. Y. Chan, Rajeev S. Assary, Tanjin He, Xu Huang, Yiming Chen","cross_cats":["cs.AI","cs.CL","cs.DL","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-26T23:12:06Z","title":"Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23886","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:d22ff14fe0ff3ff93d8fc99dcd7642d800fcb03b0af798ee64f5f89eb9555702","target":"record","created_at":"2026-07-28T01:23:16Z","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":"e70ef3a5474b92fb4900361f6cd183737f83918265a4969600f688cdc739b378","cross_cats_sorted":["cs.AI","cs.CL","cs.DL","cs.IR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-26T23:12:06Z","title_canon_sha256":"92e7546f738c2f3758945f6d2a5d7bf82ef05401ea04632950b71b5b0925f676"},"schema_version":"1.0","source":{"id":"2607.23886","kind":"arxiv","version":1}},"canonical_sha256":"bbe6758c0ecdeae48d65ccb8df899dae41fb19c79cd8399e5b9d12e9b8aa5356","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bbe6758c0ecdeae48d65ccb8df899dae41fb19c79cd8399e5b9d12e9b8aa5356","first_computed_at":"2026-07-28T01:23:16.146641Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T01:23:16.146641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ntlHXvEshrW3X9ZVlKoc+tWZhQH7XSreyQjcwmsiL/zEX9apMyZurDd5GgE1QaV/up8PU1sdYmkDQyTF35iYDg==","signature_status":"signed_v1","signed_at":"2026-07-28T01:23:16.147494Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.23886","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:557d721b5f98f2508f8c23dff61ef6a3ddba2c516827794751b1c8e2abbe2ada","sha256:eb6612b65e0a12cc335a0a214b35b68adfd890e8781aacd3aff6a3ae17b9229b"]}],"invalid_events":[],"applied_event_ids":["sha256:d22ff14fe0ff3ff93d8fc99dcd7642d800fcb03b0af798ee64f5f89eb9555702","sha256:c119faa26d63513cc7de32dfe3c096ddf598cca4816cc26134db1df6c61f32dd"],"state_sha256":"e22f166ed742f938bf777fe218e7fa296c8c1be59ea2e618a790309bee66d32c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"00lQUI4UUfkkoBFIdwMknAKwASSRlripbNYdRyT3WEl6crTx8ThflAjwk1366Y2RreRmJADCXta/E4gqb1xcDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T15:19:46.536606Z","bundle_sha256":"7c2af82880e45fac0379558bfbd229ca1cb639418361879d5908234df96a0567"}}