{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:QXU25SHJY3OHG5LXKO3NRXR57Z","short_pith_number":"pith:QXU25SHJ","canonical_record":{"source":{"id":"2607.13171","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.soc-ph","submitted_at":"2026-07-14T18:21:22Z","cross_cats_sorted":["nlin.CD","physics.data-an"],"title_canon_sha256":"cb63bc1009f2a482f8af914839f95bb5daef40e5954a1235e168b06f1a0ac417","abstract_canon_sha256":"1de201568d81a22c77bf6725380b8b362d3195b714f4ce3409c4169aaa194292"},"schema_version":"1.0"},"canonical_sha256":"85e9aec8e9c6dc73757753b6d8de3dfe627bbbc6cb026797cbfba478f7c37702","source":{"kind":"arxiv","id":"2607.13171","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.13171","created_at":"2026-07-16T00:22:01Z"},{"alias_kind":"arxiv_version","alias_value":"2607.13171v1","created_at":"2026-07-16T00:22:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13171","created_at":"2026-07-16T00:22:01Z"},{"alias_kind":"pith_short_12","alias_value":"QXU25SHJY3OH","created_at":"2026-07-16T00:22:01Z"},{"alias_kind":"pith_short_16","alias_value":"QXU25SHJY3OHG5LX","created_at":"2026-07-16T00:22:01Z"},{"alias_kind":"pith_short_8","alias_value":"QXU25SHJ","created_at":"2026-07-16T00:22:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:QXU25SHJY3OHG5LXKO3NRXR57Z","target":"record","payload":{"canonical_record":{"source":{"id":"2607.13171","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.soc-ph","submitted_at":"2026-07-14T18:21:22Z","cross_cats_sorted":["nlin.CD","physics.data-an"],"title_canon_sha256":"cb63bc1009f2a482f8af914839f95bb5daef40e5954a1235e168b06f1a0ac417","abstract_canon_sha256":"1de201568d81a22c77bf6725380b8b362d3195b714f4ce3409c4169aaa194292"},"schema_version":"1.0"},"canonical_sha256":"85e9aec8e9c6dc73757753b6d8de3dfe627bbbc6cb026797cbfba478f7c37702","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-16T00:22:01.031540Z","signature_b64":"eFuqWdtBTOoQknhgnhbajQsByfu1akjZf/cxETn3+qqTdTbEm5EDLBuwx6oDFtYCAr0LqIVIrKC/KGeEAPggBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85e9aec8e9c6dc73757753b6d8de3dfe627bbbc6cb026797cbfba478f7c37702","last_reissued_at":"2026-07-16T00:22:01.030701Z","signature_status":"signed_v1","first_computed_at":"2026-07-16T00:22:01.030701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.13171","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":"2026-07-16T00:22:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9RIz9Xzy/aei+j04hBxO708Sm7AhAHd7xX6iNG+0g4khOQdEv8VFFO+BGxlQcZMFncoVpPN1CYa+oYtDuKWqBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T05:48:55.829326Z"},"content_sha256":"825468282f1d8c13209a6eeff563ee39d5750bf88bc81e1c089f68f8928e078b","schema_version":"1.0","event_id":"sha256:825468282f1d8c13209a6eeff563ee39d5750bf88bc81e1c089f68f8928e078b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:QXU25SHJY3OHG5LXKO3NRXR57Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Human population dynamics as a Bayesian inverse transport problem","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["nlin.CD","physics.data-an"],"primary_cat":"physics.soc-ph","authors_text":"Chong Qi","submitted_at":"2026-07-14T18:21:22Z","abstract_excerpt":"Many open problems across physical, biological, and engineered systems involve non-equilibrium transport processes where the governing conservation laws are known, but the underlying constitutive relations remain latent and time-varying. Conventional data-driven approaches like deep neural networks capture statistical patterns but routinely violate fundamental mass conservation. Here, we introduce a unified Bayesian inverse transport framework that resolves this by embedding Bayesian Neural Networks (BNNs) directly within exact partial differential equations in age-time space. By evaluating th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13171","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/2607.13171/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":"2026-07-16T00:22:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zsTkK1vbgBRRdydMRBo6/iZukbT7MuLBvUYqSJBtfeBNKKPWzudsnHi13WsfUnpXpiNqsneTlyjHlcPtplLmCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T05:48:55.830228Z"},"content_sha256":"5bb9363675b663d3ec6ce69a068632b05a6309c3a2a9c93bcd1ce2f7b3b182a2","schema_version":"1.0","event_id":"sha256:5bb9363675b663d3ec6ce69a068632b05a6309c3a2a9c93bcd1ce2f7b3b182a2"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:QXU25SHJY3OHG5LXKO3NRXR57Z","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1016/j.physrep.2021.10.005 resolves to 'Social physics'. A reader following the printed text alone cannot reach it.","snippet":"M. Jusup et al., “Social physics,” Physics Reports948, 1-148 (2022),https://doi.org/10.1016/j.physrep. 2021.10.005","arxiv_id":"2607.13171","detector":"doi_compliance","evidence":{"ref_index":30,"verdict_class":"incontrovertible","resolved_title":"Social physics","printed_excerpt":"10.1016/j.physrep","reconstructed_doi":"10.1016/j.physrep.2021.10.005"},"severity":"advisory","ref_index":30,"audited_at":"2026-08-02T06:11:10.915150Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.physrep.2021.10.005","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"85af63f0ada7c7196d6ecce052870694a62fde31d9d0e5ad7c9e5d448b36dc86","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Social physics","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":17336,"payload_sha256":"83eeb87f84535559a1fd3575a65ce514588b77aea2097a8cd36bfe434af4e49c","signature_b64":"FHjN/b6NnumLnpbJ+GUCk7AZn6MuA5fgWhtZhqitvlV4YCYO0AbpOlPft7m2zs5y2bd2KOgX5RbN7qrxqXFICw==","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":"2026-08-02T06:13:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GjrOHM3gsHWxmkynNdQPNZPNyjcEd8Z7jCG6D/c48dZElWczPVCa7Guu+CAzUddnGKlRPpt92qRqg8iKSgUZCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T05:48:55.852663Z"},"content_sha256":"65dc6178cdaeaff0eaa02cf2b5ddf07629481034be06b5f007d264fb508a6b0f","schema_version":"1.0","event_id":"sha256:65dc6178cdaeaff0eaa02cf2b5ddf07629481034be06b5f007d264fb508a6b0f"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:QXU25SHJY3OHG5LXKO3NRXR57Z","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1103/physreve.86.061126 resolves to 'Dynamical Bayesian inference of time-evolving interactions: From a pair of coupled oscillators to networks of oscillator'. A reader following the printed text alone cannot reach it.","snippet":"A. Duggento, T. Stankovski, P. V. E. McClintock, and A. Stefanovska, “Dynamical Bayesian inference of time- evolving interactions: From a pair of coupled oscil- lators to networks of oscillators,” Phys. Rev. E86, 061126 (2012),https://doi.o","arxiv_id":"2607.13171","detector":"doi_compliance","evidence":{"ref_index":29,"verdict_class":"incontrovertible","resolved_title":"Dynamical Bayesian inference of time-evolving interactions: From a pair of coupled oscillators to networks of oscillators","printed_excerpt":"10.1103/physreve","reconstructed_doi":"10.1103/physreve.86.061126"},"severity":"advisory","ref_index":29,"audited_at":"2026-08-02T06:11:10.915150Z","event_type":"pith.integrity.v1","detected_doi":"10.1103/physreve.86.061126","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"723d40f2613275d525260748c8fa02c71cb138989035824e4bf45e52b71c0da9","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Dynamical Bayesian inference of time-evolving interactions: From a pair of coupled oscillators to networks of oscillators","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":17335,"payload_sha256":"5dbb78587b12c4d7dfe7bf21093033209312e3a6c288c653777c3b4702a69694","signature_b64":"i8S+Gn9HyBIIEQUeqDwuR72hW4zMZ/vYReXhasn9Z1tAv5MlSDVOeFi0ZgiRBLKQ716j0Nr6o/rjHv/V7AQsCw==","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":"2026-08-02T06:13:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UWR/k2dFKncnUn5M+MwxtewJpou+UPOAwgE3bBYSnKYfsByCgIWpxEIEPpgDEiXNX+kjbr7uHtEPGcqLc6D5Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T05:48:55.853413Z"},"content_sha256":"d2bcdaba5232a6166363fc7269abb137599123606482b2f5b1a2aee2a5fab354","schema_version":"1.0","event_id":"sha256:d2bcdaba5232a6166363fc7269abb137599123606482b2f5b1a2aee2a5fab354"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:QXU25SHJY3OHG5LXKO3NRXR57Z","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1073/pnas.1211452109 resolves to 'Bayesian probabilistic population projections for all countries'. A reader following the printed text alone cannot reach it.","snippet":"A. E. Raftery, N. Li, H. ˇSevˇ c ´ ıkov´ a, P. Gerland, and G. K. Heilig, “Bayesian probabilistic population projections for all countries,” Proc. Natl. Acad. Sci. U.S.A.109(35), 13915-13921 (2012),https://doi.org/10.1073/pnas. 1211452109","arxiv_id":"2607.13171","detector":"doi_compliance","evidence":{"ref_index":15,"verdict_class":"incontrovertible","resolved_title":"Bayesian probabilistic population projections for all countries","printed_excerpt":"10.1073/pnas","reconstructed_doi":"10.1073/pnas.1211452109"},"severity":"advisory","ref_index":15,"audited_at":"2026-08-02T06:11:10.915150Z","event_type":"pith.integrity.v1","detected_doi":"10.1073/pnas.1211452109","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"263b123434c4491e873b8d1d8217d075626e5058932a68b54c0351db79d5ace7","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Bayesian probabilistic population projections for all countries","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":17334,"payload_sha256":"bc9ae3490f7034862a918561510a3d325f4da12b0c94316c445b391f5213b7ac","signature_b64":"BGG48NRzKWsmFQ3/nYKDeaOGmwterbm0Ko8yEj8GIWtg2ss9PEYUgI3Gk14YqCbGX8MQblCsyVlj1+jc0izlAw==","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":"2026-08-02T06:13:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hHzqi7FcAny3U/qxcgNUHDGWqXEJl9Uw08RFp2wqd/cY8Ef4bNp2CrxlDgat6fHqPOJ+H8vlzLiq4OOGmUD7AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T05:48:55.854029Z"},"content_sha256":"a0784aaa60738d4f19002392de25b65615d94ce2e075a00751ab5452728ebd0d","schema_version":"1.0","event_id":"sha256:a0784aaa60738d4f19002392de25b65615d94ce2e075a00751ab5452728ebd0d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QXU25SHJY3OHG5LXKO3NRXR57Z/bundle.json","state_url":"https://pith.science/pith/QXU25SHJY3OHG5LXKO3NRXR57Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QXU25SHJY3OHG5LXKO3NRXR57Z/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":"2026-08-17T05:48:55Z","links":{"resolver":"https://pith.science/pith/QXU25SHJY3OHG5LXKO3NRXR57Z","bundle":"https://pith.science/pith/QXU25SHJY3OHG5LXKO3NRXR57Z/bundle.json","state":"https://pith.science/pith/QXU25SHJY3OHG5LXKO3NRXR57Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QXU25SHJY3OHG5LXKO3NRXR57Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QXU25SHJY3OHG5LXKO3NRXR57Z","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":"1de201568d81a22c77bf6725380b8b362d3195b714f4ce3409c4169aaa194292","cross_cats_sorted":["nlin.CD","physics.data-an"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.soc-ph","submitted_at":"2026-07-14T18:21:22Z","title_canon_sha256":"cb63bc1009f2a482f8af914839f95bb5daef40e5954a1235e168b06f1a0ac417"},"schema_version":"1.0","source":{"id":"2607.13171","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.13171","created_at":"2026-07-16T00:22:01Z"},{"alias_kind":"arxiv_version","alias_value":"2607.13171v1","created_at":"2026-07-16T00:22:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13171","created_at":"2026-07-16T00:22:01Z"},{"alias_kind":"pith_short_12","alias_value":"QXU25SHJY3OH","created_at":"2026-07-16T00:22:01Z"},{"alias_kind":"pith_short_16","alias_value":"QXU25SHJY3OHG5LX","created_at":"2026-07-16T00:22:01Z"},{"alias_kind":"pith_short_8","alias_value":"QXU25SHJ","created_at":"2026-07-16T00:22:01Z"}],"graph_snapshots":[{"event_id":"sha256:5bb9363675b663d3ec6ce69a068632b05a6309c3a2a9c93bcd1ce2f7b3b182a2","target":"graph","created_at":"2026-07-16T00:22:01Z","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/2607.13171/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many open problems across physical, biological, and engineered systems involve non-equilibrium transport processes where the governing conservation laws are known, but the underlying constitutive relations remain latent and time-varying. Conventional data-driven approaches like deep neural networks capture statistical patterns but routinely violate fundamental mass conservation. Here, we introduce a unified Bayesian inverse transport framework that resolves this by embedding Bayesian Neural Networks (BNNs) directly within exact partial differential equations in age-time space. By evaluating th","authors_text":"Chong Qi","cross_cats":["nlin.CD","physics.data-an"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.soc-ph","submitted_at":"2026-07-14T18:21:22Z","title":"Human population dynamics as a Bayesian inverse transport problem"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13171","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":"sha256:825468282f1d8c13209a6eeff563ee39d5750bf88bc81e1c089f68f8928e078b","target":"record","created_at":"2026-07-16T00:22:01Z","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":"1de201568d81a22c77bf6725380b8b362d3195b714f4ce3409c4169aaa194292","cross_cats_sorted":["nlin.CD","physics.data-an"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.soc-ph","submitted_at":"2026-07-14T18:21:22Z","title_canon_sha256":"cb63bc1009f2a482f8af914839f95bb5daef40e5954a1235e168b06f1a0ac417"},"schema_version":"1.0","source":{"id":"2607.13171","kind":"arxiv","version":1}},"canonical_sha256":"85e9aec8e9c6dc73757753b6d8de3dfe627bbbc6cb026797cbfba478f7c37702","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85e9aec8e9c6dc73757753b6d8de3dfe627bbbc6cb026797cbfba478f7c37702","first_computed_at":"2026-07-16T00:22:01.030701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-16T00:22:01.030701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eFuqWdtBTOoQknhgnhbajQsByfu1akjZf/cxETn3+qqTdTbEm5EDLBuwx6oDFtYCAr0LqIVIrKC/KGeEAPggBw==","signature_status":"signed_v1","signed_at":"2026-07-16T00:22:01.031540Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.13171","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:65dc6178cdaeaff0eaa02cf2b5ddf07629481034be06b5f007d264fb508a6b0f","sha256:a0784aaa60738d4f19002392de25b65615d94ce2e075a00751ab5452728ebd0d","sha256:d2bcdaba5232a6166363fc7269abb137599123606482b2f5b1a2aee2a5fab354"]}],"invalid_events":[],"applied_event_ids":["sha256:825468282f1d8c13209a6eeff563ee39d5750bf88bc81e1c089f68f8928e078b","sha256:5bb9363675b663d3ec6ce69a068632b05a6309c3a2a9c93bcd1ce2f7b3b182a2"],"state_sha256":"b5b8fb55aa97a2f6004649b0678d9ed2ee6f835071d513887f63d77d4fdab367"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vfI1wTW5iRezqBhkqHeJxX8N4k0BXbUfJ3uwRGLs++yYOR66J3FwRacIsYT/o4wDcw93gfraxHVtpLs0yu6ZDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T05:48:55.858272Z","bundle_sha256":"9d719ba4ee2f8731be2df14990c016b0844e70fb9ff2dda08f8cbb75530eec54"}}