{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:IM4YTYYYO4W7AS5HC5RC3HMATW","short_pith_number":"pith:IM4YTYYY","canonical_record":{"source":{"id":"2605.20514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T21:34:11Z","cross_cats_sorted":[],"title_canon_sha256":"d4ad3a86796e340b10531553b905648295fbbeaf9cdb1dc10ad751eaf9b98dd4","abstract_canon_sha256":"46e510a0dbe4fa7d8050da3fcd3ca90a3cc81aa91a336276cb57a0f1d15e6b7e"},"schema_version":"1.0"},"canonical_sha256":"433989e318772df04ba717622d9d809d828df478758228b7f62895de26de1b2a","source":{"kind":"arxiv","id":"2605.20514","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20514","created_at":"2026-05-21T01:04:40Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20514v1","created_at":"2026-05-21T01:04:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20514","created_at":"2026-05-21T01:04:40Z"},{"alias_kind":"pith_short_12","alias_value":"IM4YTYYYO4W7","created_at":"2026-05-21T01:04:40Z"},{"alias_kind":"pith_short_16","alias_value":"IM4YTYYYO4W7AS5H","created_at":"2026-05-21T01:04:40Z"},{"alias_kind":"pith_short_8","alias_value":"IM4YTYYY","created_at":"2026-05-21T01:04:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:IM4YTYYYO4W7AS5HC5RC3HMATW","target":"record","payload":{"canonical_record":{"source":{"id":"2605.20514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T21:34:11Z","cross_cats_sorted":[],"title_canon_sha256":"d4ad3a86796e340b10531553b905648295fbbeaf9cdb1dc10ad751eaf9b98dd4","abstract_canon_sha256":"46e510a0dbe4fa7d8050da3fcd3ca90a3cc81aa91a336276cb57a0f1d15e6b7e"},"schema_version":"1.0"},"canonical_sha256":"433989e318772df04ba717622d9d809d828df478758228b7f62895de26de1b2a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T01:04:40.547017Z","signature_b64":"XIoAkj47nY2yY8psdDtQ9oUhmRuPC2MUtsuEom2w5K0oCP1GyOsn0UPcohsqLwg7E+rOXSGR+Tp/SexFdGB2CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"433989e318772df04ba717622d9d809d828df478758228b7f62895de26de1b2a","last_reissued_at":"2026-05-21T01:04:40.546546Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T01:04:40.546546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.20514","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":"2026-05-21T01:04:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LpwnnKLRrYT3DAhtfw6szByVTDSYNfzuoAUV9Oq1e3yWA86KhBUNgENdu9iEzBHEFfHaGLxGm2MQfqlQkHR9AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T07:04:45.117998Z"},"content_sha256":"d763952d0c32ea3a2860a4a99ccdd864c4cd12954d7ff98b4866c3c1350a016e","schema_version":"1.0","event_id":"sha256:d763952d0c32ea3a2860a4a99ccdd864c4cd12954d7ff98b4866c3c1350a016e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:IM4YTYYYO4W7AS5HC5RC3HMATW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast Reconstruction of Exact Maxwell Dynamics from Sparse Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bogdan Rai\\c{t}\\u{a}, Dan DeGenaro, Markus Lange-Hegermann, Michael Pokojovy, Obed Amo, Sarah Adel Bargal, Xin Li","submitted_at":"2026-05-19T21:34:11Z","abstract_excerpt":"We introduce FLASH-MAX, a shallow, exact-by-construction neural network architecture for predicting homogeneous electromagnetic fields from sparse pointwise observations. Each hidden neuron represents a separate exact solution to Maxwell's equations, so that the network satisfies the governing equations symbolically by construction and can be trained end-to-end from sparse data within seconds. We prove a universal approximation result showing that this exact model class remains universal on arbitrary domains. FLASH-MAX reaches sub-1% relative validation error from about 1K sparse pointwise obs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20514","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/2605.20514/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":"2026-05-21T01:04:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2IC/uTGq3pxoP50OkcvntPee0mDQuLAFLqI/QBIU+G5QPehWhDqaxEPfj9wqslRj7HYYsJrK8N1jNYMDfivpAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T07:04:45.118693Z"},"content_sha256":"773acf9e5b0861cd32cb2b1a36b925535b70f0990c4974b0602f69c740ae935d","schema_version":"1.0","event_id":"sha256:773acf9e5b0861cd32cb2b1a36b925535b70f0990c4974b0602f69c740ae935d"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:IM4YTYYYO4W7AS5HC5RC3HMATW","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1016/j.jcp.2006.10.016.14) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Tomi Huttunen, Petri Malinen, and Peter Monk. Solving Maxwell’s Equations Using the Ultra Weak Variational Formulation.Journal of Computational Physics, 223(2):731–758, 2007. doi: 10.1016/j.jcp. 2006.10.016. 14","arxiv_id":"2605.20514","detector":"doi_compliance","evidence":{"ref_index":73,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Tomi Huttunen, Petri Malinen, and Peter Monk. Solving Maxwell’s Equations Using the Ultra Weak Variational Formulation.Journal of Computational Physics, 223(2):731–758, 2007. doi: 10.1016/j.jcp. 2006.10.016. 14","reconstructed_doi":"10.1016/j.jcp.2006.10.016.14"},"severity":"advisory","ref_index":73,"audited_at":"2026-05-21T07:23:15.519165Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.jcp.2006.10.016.14","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"2c341c89369d76890e6c421f318f093b069b6b0f05e227b5f12b92ef93a18461","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":5867,"payload_sha256":"f975266741a8be277d76a7412d544133dc206561c3595851d4f9ca80fcadc4e1","signature_b64":"gPU60sbzVg8Lzn1g993ww6dITg6UkRgs5OJWRNe+mmHrnn5LXO4FboKDF+VvspeXZ14lciI5QIiqJpvAgxPxDg==","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":"2026-05-21T07:24:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WaoEXSqE/mPBPpvnMYeH0Zo5a9gF+IHltRGlKbGZP2lf3SRVI3bNJYXgA8KI4LzQfnShS7aw7D1lILTBXcjpCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T07:04:45.120422Z"},"content_sha256":"7d026c4c0dcf82262615eec221265fbcec28eabdfdd014a6122e023ebf56c320","schema_version":"1.0","event_id":"sha256:7d026c4c0dcf82262615eec221265fbcec28eabdfdd014a6122e023ebf56c320"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:IM4YTYYYO4W7AS5HC5RC3HMATW","target":"integrity","payload":{"note":"Identifier '10.1109/tro.2018.2830323' 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":"Arno Solin, Manon Kok, Niklas Wahlström, Thomas B. Schön, and Simo Särkkä. Modeling and Inter- polation of the Ambient Magnetic Field by Gaussian Processes.IEEE Transactions on Robotics, 34(4): 1112–1127, 2018. doi: 10.1109/TRO.2018.2830323","arxiv_id":"2605.20514","detector":"doi_compliance","evidence":{"doi":"10.1109/tro.2018.2830323","arxiv_id":null,"ref_index":59,"raw_excerpt":"Arno Solin, Manon Kok, Niklas Wahlström, Thomas B. Schön, and Simo Särkkä. Modeling and Inter- polation of the Ambient Magnetic Field by Gaussian Processes.IEEE Transactions on Robotics, 34(4): 1112–1127, 2018. doi: 10.1109/TRO.2018.2830323","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":59,"audited_at":"2026-05-21T07:23:15.519165Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/tro.2018.2830323","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"f082004a989ae677c295f466cca8a32453867021ea06302e0ecb46437a3546f3","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":5866,"payload_sha256":"6530c493656dcb37f8aa9c864659f794ffe8b76b3baa3776ed566132ac790592","signature_b64":"gLGpQobLH4jGsR1H5gPLl3O4SPQ8aWfi0znlKD111uFq7gaG1II4Iz7k91P6G1oXV5/GN/YpM7MrTI4ydbryAQ==","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":"2026-05-21T07:24:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NvrbBumg0Sa4fUhw+OIDkpz1L/Co/70BMdyw4ldvQpTHzXNVwGrm5Rn6rO/I8CI8rerIDMiG86imk5eE6gqGAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T07:04:45.121055Z"},"content_sha256":"9642dd908805fb7508b3852dd58c8a4e812f7eee9375f2ef9b0311e8df6cc26e","schema_version":"1.0","event_id":"sha256:9642dd908805fb7508b3852dd58c8a4e812f7eee9375f2ef9b0311e8df6cc26e"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:IM4YTYYYO4W7AS5HC5RC3HMATW","target":"integrity","payload":{"note":"Identifier '10.1016/0925-2312(94' 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":"Yoh-Han Pao, Gwang Hoon Park, and Dejan J. Sobajic. Learning and generalization characteristics of the random vector functional-link net.Neurocomputing, 6(2):163–180, 1994. doi: 10.1016/0925-2312(94) 90053-1","arxiv_id":"2605.20514","detector":"doi_compliance","evidence":{"doi":"10.1016/0925-2312(94","arxiv_id":null,"ref_index":21,"raw_excerpt":"Yoh-Han Pao, Gwang Hoon Park, and Dejan J. Sobajic. Learning and generalization characteristics of the random vector functional-link net.Neurocomputing, 6(2):163–180, 1994. doi: 10.1016/0925-2312(94) 90053-1","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":21,"audited_at":"2026-05-21T07:23:15.519165Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/0925-2312(94","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"c2d2aadf3ad4f4f752dc4bb33a1a59df0177b2a740b232a6dc754681e9b5a01b","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":5865,"payload_sha256":"1ac258705652756a6c82e44b1abad4e2d358fecd67baeee0877fd4127a794ff9","signature_b64":"iEQxZSAUL0T+FjTNOTfsg3aPfqnJsHWpQbVoHTzHwFJxqtA/VBpkEGxAGiMyjE8vWp/239b5yh09vVOx/DhZCA==","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":"2026-05-21T07:24:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xZKw2RPqvzDV80NvUfR/+PjSWNxNjQJ3XCu4Yt0ORdF6kkVVukcE7bKOZ6pILRpDAu/zfPkIhoCTZELpLW2VBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T07:04:45.121631Z"},"content_sha256":"9c11bb61eb72850cde0cccac16afe773dac28d2e32efcee572a2135b278477f0","schema_version":"1.0","event_id":"sha256:9c11bb61eb72850cde0cccac16afe773dac28d2e32efcee572a2135b278477f0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IM4YTYYYO4W7AS5HC5RC3HMATW/bundle.json","state_url":"https://pith.science/pith/IM4YTYYYO4W7AS5HC5RC3HMATW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IM4YTYYYO4W7AS5HC5RC3HMATW/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":"2026-05-25T07:04:45Z","links":{"resolver":"https://pith.science/pith/IM4YTYYYO4W7AS5HC5RC3HMATW","bundle":"https://pith.science/pith/IM4YTYYYO4W7AS5HC5RC3HMATW/bundle.json","state":"https://pith.science/pith/IM4YTYYYO4W7AS5HC5RC3HMATW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IM4YTYYYO4W7AS5HC5RC3HMATW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IM4YTYYYO4W7AS5HC5RC3HMATW","merge_version":"pith-open-graph-merge-v1","event_count":5,"valid_event_count":5,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"46e510a0dbe4fa7d8050da3fcd3ca90a3cc81aa91a336276cb57a0f1d15e6b7e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T21:34:11Z","title_canon_sha256":"d4ad3a86796e340b10531553b905648295fbbeaf9cdb1dc10ad751eaf9b98dd4"},"schema_version":"1.0","source":{"id":"2605.20514","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20514","created_at":"2026-05-21T01:04:40Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20514v1","created_at":"2026-05-21T01:04:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20514","created_at":"2026-05-21T01:04:40Z"},{"alias_kind":"pith_short_12","alias_value":"IM4YTYYYO4W7","created_at":"2026-05-21T01:04:40Z"},{"alias_kind":"pith_short_16","alias_value":"IM4YTYYYO4W7AS5H","created_at":"2026-05-21T01:04:40Z"},{"alias_kind":"pith_short_8","alias_value":"IM4YTYYY","created_at":"2026-05-21T01:04:40Z"}],"graph_snapshots":[{"event_id":"sha256:773acf9e5b0861cd32cb2b1a36b925535b70f0990c4974b0602f69c740ae935d","target":"graph","created_at":"2026-05-21T01:04:40Z","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/2605.20514/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce FLASH-MAX, a shallow, exact-by-construction neural network architecture for predicting homogeneous electromagnetic fields from sparse pointwise observations. Each hidden neuron represents a separate exact solution to Maxwell's equations, so that the network satisfies the governing equations symbolically by construction and can be trained end-to-end from sparse data within seconds. We prove a universal approximation result showing that this exact model class remains universal on arbitrary domains. FLASH-MAX reaches sub-1% relative validation error from about 1K sparse pointwise obs","authors_text":"Bogdan Rai\\c{t}\\u{a}, Dan DeGenaro, Markus Lange-Hegermann, Michael Pokojovy, Obed Amo, Sarah Adel Bargal, Xin Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T21:34:11Z","title":"Fast Reconstruction of Exact Maxwell Dynamics from Sparse Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20514","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:d763952d0c32ea3a2860a4a99ccdd864c4cd12954d7ff98b4866c3c1350a016e","target":"record","created_at":"2026-05-21T01:04:40Z","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":"46e510a0dbe4fa7d8050da3fcd3ca90a3cc81aa91a336276cb57a0f1d15e6b7e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T21:34:11Z","title_canon_sha256":"d4ad3a86796e340b10531553b905648295fbbeaf9cdb1dc10ad751eaf9b98dd4"},"schema_version":"1.0","source":{"id":"2605.20514","kind":"arxiv","version":1}},"canonical_sha256":"433989e318772df04ba717622d9d809d828df478758228b7f62895de26de1b2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"433989e318772df04ba717622d9d809d828df478758228b7f62895de26de1b2a","first_computed_at":"2026-05-21T01:04:40.546546Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T01:04:40.546546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XIoAkj47nY2yY8psdDtQ9oUhmRuPC2MUtsuEom2w5K0oCP1GyOsn0UPcohsqLwg7E+rOXSGR+Tp/SexFdGB2CQ==","signature_status":"signed_v1","signed_at":"2026-05-21T01:04:40.547017Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.20514","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:7d026c4c0dcf82262615eec221265fbcec28eabdfdd014a6122e023ebf56c320","sha256:9642dd908805fb7508b3852dd58c8a4e812f7eee9375f2ef9b0311e8df6cc26e","sha256:9c11bb61eb72850cde0cccac16afe773dac28d2e32efcee572a2135b278477f0"]}],"invalid_events":[],"applied_event_ids":["sha256:d763952d0c32ea3a2860a4a99ccdd864c4cd12954d7ff98b4866c3c1350a016e","sha256:773acf9e5b0861cd32cb2b1a36b925535b70f0990c4974b0602f69c740ae935d"],"state_sha256":"926bf1c2be3a3f843fac649d13f96bd9561ab94e41f58ab909f61d9423b6c581"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6/PukyK2sV8/8NFxlswFRZbnUd17QVqSQG/U1SFI6Q4xPdARa4cvCLiuDlfkn9svLaHmH/Rlp+RKdu66hv8YDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T07:04:45.126477Z","bundle_sha256":"8f3dde8c88998cef2f43d818b9557870abfc645d0c9a51bab437bd6df42d6e93"}}