{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","short_pith_number":"pith:RUONI6GZ","canonical_record":{"source":{"id":"2607.18552","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-20T22:38:49Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9b90b9f4aef6f2c7ea3464fd854c97ede9700c73ec969fef73361b32b1ed43f5","abstract_canon_sha256":"7bf972245d475fd982ab2fe5a2453864b9db34b71548d38e4f266e2182a6c123"},"schema_version":"1.0"},"canonical_sha256":"8d1cd478d9dc9344e932ad5f3bf56e3ec743bf486aa50bdf974ffac1278a491a","source":{"kind":"arxiv","id":"2607.18552","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.18552","created_at":"2026-07-22T00:22:54Z"},{"alias_kind":"arxiv_version","alias_value":"2607.18552v1","created_at":"2026-07-22T00:22:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18552","created_at":"2026-07-22T00:22:54Z"},{"alias_kind":"pith_short_12","alias_value":"RUONI6GZ3SJU","created_at":"2026-07-22T00:22:54Z"},{"alias_kind":"pith_short_16","alias_value":"RUONI6GZ3SJUJ2JS","created_at":"2026-07-22T00:22:54Z"},{"alias_kind":"pith_short_8","alias_value":"RUONI6GZ","created_at":"2026-07-22T00:22:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"record","payload":{"canonical_record":{"source":{"id":"2607.18552","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-20T22:38:49Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9b90b9f4aef6f2c7ea3464fd854c97ede9700c73ec969fef73361b32b1ed43f5","abstract_canon_sha256":"7bf972245d475fd982ab2fe5a2453864b9db34b71548d38e4f266e2182a6c123"},"schema_version":"1.0"},"canonical_sha256":"8d1cd478d9dc9344e932ad5f3bf56e3ec743bf486aa50bdf974ffac1278a491a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-22T00:22:54.023915Z","signature_b64":"waYFqkrJIJK3R5jkRW9hYd6TpiD6QlBYXHqslDCMq5xk+edqscvTi2SfSsxgzTBtdRfe29XINum6HI8LFex4CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d1cd478d9dc9344e932ad5f3bf56e3ec743bf486aa50bdf974ffac1278a491a","last_reissued_at":"2026-07-22T00:22:54.023153Z","signature_status":"signed_v1","first_computed_at":"2026-07-22T00:22:54.023153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.18552","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":"2026-07-22T00:22:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uoiKwW7KAhmlrGZe0rRcSs2Um9MDYttwDvD8WSkplgi7QPLfqncv1Fu6uPBzUg8GNf10/ZKEeI8VVzZkdghdBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.357875Z"},"content_sha256":"007c80a3a9559cf40e44dbc8485e9979d18b27e67c0e7e53c993f2eb351bd7ea","schema_version":"1.0","event_id":"sha256:007c80a3a9559cf40e44dbc8485e9979d18b27e67c0e7e53c993f2eb351bd7ea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantum Reservoir Computing: Recent Advances and Future Directions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"quant-ph","authors_text":"Arshid Ali, Muhammad Diyan, Muhammad Talha, Shehbaz Tariq, Symeon Chatzinotas","submitted_at":"2026-07-20T22:38:49Z","abstract_excerpt":"Quantum reservoir computing (QRC) uses the dynamics of a fixed or weakly tuned quantum system to transform temporal and sequential inputs into measured features, while training is typically confined to a classical readout. This separation reduces reliance on repeated quantum parameter updates and avoids the barren plateaus associated with variational circuit training. Its computational power is often attributed to the exponentially large Hilbert space of the quantum system. However, the memory, nonlinearity, and expressivity that determine what a reservoir can actually compute depend jointly o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18552","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/2607.18552/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":"2026-07-22T00:22:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/lb9VnJnbqR+C0tbY3r6ybOeOQfPzHLXc2iXMAgZHc4Lu3WRCspMJYqdGLhhiAk2BUMYjYIp7vbiDMQ7jHl+Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.358474Z"},"content_sha256":"1fa4d32e76f488de0a80a8debe62798e1baf28f350bdcf8edf77dce45131387c","schema_version":"1.0","event_id":"sha256:1fa4d32e76f488de0a80a8debe62798e1baf28f350bdcf8edf77dce45131387c"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1088/2632-2153/adc0e2) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Samuel Tovey, Tobias Fellner, Christian Holm, and Michael Spannowsky. 2025. Generating quantum reservoir state representations with random matrices. Mach. Learn.-Sci. Technol.6, 1 (March 2025), 015068. doi:10.1088/2632-2153/ adc0e2","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":141,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1088/2632-2153/","reconstructed_doi":"10.1088/2632-2153/adc0e2"},"severity":"advisory","ref_index":141,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1088/2632-2153/adc0e2","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"0efd7aa2b779ed0c69f3f44cd9cf246142925432c1c4b580bb9a00d0fdf60c4a","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16061,"payload_sha256":"35e8d07abb0ce558a62dd1eb001abe02b51d38c04b61b8c81e74e73b35ab57c0","signature_b64":"3vp8Nop7f3uRfR6WEClNo6/CdO03qDIMsBmAuvFtT30B0bsOIxbd13EGJKU+oEPQ6TGb6KuqC0Vj77fiaMzqCQ==","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":"2026-08-01T15:23:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CxUgaeINLKT4feeVPUZA/KnfYgM7pfeaNNEnhdIQHiTdpU8qaW8NIOd7LlTAYZxFA2p2H1O5BGT2KIIyD6ToAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.361545Z"},"content_sha256":"5fa8cb9da72b1dfe72522c74f6a4c288c5e06d461d909dcf187527029e5d1bd4","schema_version":"1.0","event_id":"sha256:5fa8cb9da72b1dfe72522c74f6a4c288c5e06d461d909dcf187527029e5d1bd4"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/978-981-99-5072-0_4) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Naoya Tate. 2023. Quantum-Dot-Based Photonic Reservoir Computing. InPho- tonic Neural Networks with Spatiotemporal Dynamics: Paradigms of Computing and Implementation, Hideyuki Suzuki, Jun Tanida, and Masanori Hashimoto (Eds.). Springer Nat","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":138,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/978-981-99-","reconstructed_doi":"10.1007/978-981-99-5072-0_4"},"severity":"advisory","ref_index":138,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/978-981-99-5072-0_4","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"f4db149c71e4065bac4652a1ae296ce7257c51864397d71e41c30de384d94da1","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16060,"payload_sha256":"3ba46b8bda87c58d8af00b3e6a48b9ad0262a73ee28ddb82d0052dc59bf90663","signature_b64":"ICyhfvH8aN2db4XJnk03I6Qm57gmp692MYxLAQk2dvc3gGXAaYktt53XHYd/yZnMJbU2qg9jYY4puXIPq6YrCw==","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":"2026-08-01T15:23:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P8S65rGoHXfFj3vYGM6O3jW8WUYlOqfnEG3Ji7TwOUKUE7Ml4woKUjt9rRiOq3mhp5S2MNrvdJNz+QHxiCqIAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.362007Z"},"content_sha256":"835afec993cb4932183686ccdb845d0780356454e176637a5c69711157a9d817","schema_version":"1.0","event_id":"sha256:835afec993cb4932183686ccdb845d0780356454e176637a5c69711157a9d817"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1016/j.neunet.2019.03.005 resolves to 'Recent advances in physical reservoir computing: A review'. A reader following the printed text alone cannot reach it.","snippet":"Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Héroux, Ryosho Nakane, Naoki Kanazawa, et al. 2019. Recent advances in physical reservoir computing: A review.Neural Networks115 (July 2019), 100–123. doi:10.1016/j.neunet.2019.03. 005","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":134,"verdict_class":"incontrovertible","resolved_title":"Recent advances in physical reservoir computing: A review","printed_excerpt":"10.1016/j.neunet.2019.03","reconstructed_doi":"10.1016/j.neunet.2019.03.005"},"severity":"advisory","ref_index":134,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.neunet.2019.03.005","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"fec77e9071239aa09372d667186a28e11430218f3706d7d2b0c09b65cd663be1","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Recent advances in physical reservoir computing: A review","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16059,"payload_sha256":"9259a7fd10781014c38392ee991b7ecf7c144bf738b4d99652fef1ef15df0190","signature_b64":"PNy8xYhPbciGcGZJDA2LAQAv7P+G+heXlQZ40sN/OgShwcbt04TyXBmfwpOiCjf1wW2ACHeB1F7zTXAWkVHOBw==","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":"2026-08-01T15:23:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"togfNfzReegZ3hGfuTe/JFwhYdK+7+U1HuRLfkgRr+kxTgCh1Na8mUodIG9pVO8T/r/vs0JI7xOGetm2axr4Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.362477Z"},"content_sha256":"801fdc6c36abb14a063a801cd2eacafd1a1ba6556a73741da56aa43f0de0f77f","schema_version":"1.0","event_id":"sha256:801fdc6c36abb14a063a801cd2eacafd1a1ba6556a73741da56aa43f0de0f77f"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41467-024-51161-8) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Alen Senanian, Sridhar Prabhu, Vladimir Kremenetski, Saswata Roy, Yingkang Cao, et al . 2024. Microwave Signal Processing Using an Analog Quantum Reservoir Computer.Nat. Commun.15 (2024), 7490. doi:10.1038/s41467-024- 51161-8","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":116,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s41467-024-","reconstructed_doi":"10.1038/s41467-024-51161-8"},"severity":"advisory","ref_index":116,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41467-024-51161-8","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"4cd8231ca36b087a633f979c85b5dd815063f869576c70f3a85c1c6d12bf8d68","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16058,"payload_sha256":"5a17c13893cdbeb0177bca1c274ee0ec380cdeb29b04621599f4e1f650af6722","signature_b64":"vvyUO2zAt8rpSVxvTGbj6kN6v8iF8IyzWb4nJkJyEkFXRlrvz2ueoOCr+33pwtCDHmNkb2u0QqQFT7KsIlKmDQ==","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":"2026-08-01T15:23:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+5h52FvtWPhICokkk5mKzP4Q0suJrRVBx9B/ZeRkD3xy3Iq4z4zLQajs4c1KPRaGaVc616BzrpdeFoG6cD/HDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.362848Z"},"content_sha256":"7a29e8b273d1d13964966c6e90ca265639a8c2426b3fbcb5b88b0634313771ee","schema_version":"1.0","event_id":"sha256:7a29e8b273d1d13964966c6e90ca265639a8c2426b3fbcb5b88b0634313771ee"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1103/PhysRevResearch.5.043242 resolves to 'Reduced-order modeling of two-dimensional turbulent Rayleigh-Bénard flow by hybrid quantum-classical reservoir computing'. A reader following the printed text alone cannot reach it.","snippet":"Philipp Pfeffer, Florian Heyder, and Jörg Schumacher. 2023. Reduced-order mod- eling of two-dimensional turbulent Rayleigh-Bénard flow by hybrid quantum- classical reservoir computing. 043242 pages. doi:10.1103/PhysRevResearch.5. 043242","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":109,"verdict_class":"incontrovertible","resolved_title":"Reduced-order modeling of two-dimensional turbulent Rayleigh-Bénard flow by hybrid quantum-classical reservoir computing","printed_excerpt":"10.1103/physrevresearch.5","reconstructed_doi":"10.1103/PhysRevResearch.5.043242"},"severity":"advisory","ref_index":109,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1103/PhysRevResearch.5.043242","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"cbd9b15e0509a89c3dcaed20175de39bc04b29c91cc323bdf994b5e0096253c9","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Reduced-order modeling of two-dimensional turbulent Rayleigh-Bénard flow by hybrid quantum-classical reservoir computing","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16057,"payload_sha256":"63a97204b49be42c02150718e20872e230759d72e66904325c39c8d20897fafd","signature_b64":"p1ncBTbWmWDr7oESG++npT/u1RN2VQ0V9I1sRdmGrooB0yJLGbP40y4/KfLKukGf8IoZnE/2QcIBk6noe3HKBw==","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":"2026-08-01T15:23:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IbyFoWV0rN0hXMu+z9WiRE4ABhb25lmgJpg8nEUKOqKHR1TD7yEtDDAF0JzJh0ljXuY3rM3A0ise92QQPkOYAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.363237Z"},"content_sha256":"3474f7cf341bd0cf36eb0fa4cb6bb8b29c7e726f8986882c9a5ae9eb58b2872a","schema_version":"1.0","event_id":"sha256:3474f7cf341bd0cf36eb0fa4cb6bb8b29c7e726f8986882c9a5ae9eb58b2872a"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1088/2632-2153/ad5f12) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Johannes Nokkala, Gian Luca Giorgi, and Roberta Zambrini. 2024. Retrieving past quantum features with deep hybrid classical-quantum reservoir computing. Mach. Learning: Sci. and Technol.5, 3 (July 2024), 035022. doi:10.1088/2632- 2153/ad5f1","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":101,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1088/2632-","reconstructed_doi":"10.1088/2632-2153/ad5f12"},"severity":"advisory","ref_index":101,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1088/2632-2153/ad5f12","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"69d3a549aface90d8bf20aa3f52fa8857e66506e4c9ad84efc1c84219386418f","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16056,"payload_sha256":"1db41ace23055f7019dcab1a89c6601b35ec19cd83a1dcc29f2400b045c80c3c","signature_b64":"8ZnaCLZk6a4iNvyuRg6tDzWeHUbmqVxmyIGV/mWZ2BEKff8Nk5J3uKMxzu7UT8h+aiUF+UI/tatyfQ80EyEjAA==","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":"2026-08-01T15:23:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vqhTnCe33LX9ywAwoZLNxOpVjyMqqeo9D2FQfuC3YQ786DCnheuLeHLA6bpm67L63FY9cL0RJbE7f0AOa0auCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.363595Z"},"content_sha256":"41763c24d83d6614c50f9698e9027856d0fe49c0aa810b44c7f531cdad14be26","schema_version":"1.0","event_id":"sha256:41763c24d83d6614c50f9698e9027856d0fe49c0aa810b44c7f531cdad14be26"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.22331/q-2025-12-02-1927) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Mateusz Meller, Vendel Szeremi, and Oliver Thomson Brown. 2025. Program- ming tools for Analogue Quantum Computing in the High-Performance Com- puting Context: A Review.Quantum9 (2025), 1927. doi:10.22331/q-2025-12-02- 1927","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":87,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.22331/q-2025-12-02-","reconstructed_doi":"10.22331/q-2025-12-02-1927"},"severity":"advisory","ref_index":87,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.22331/q-2025-12-02-1927","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"ed2c872f6eb16e469b1948f226979ce6811d7511827a27cb3b8cf6396d2ff2e5","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16055,"payload_sha256":"adf72ee520f7491a1f1b7891774db37e31e616762fde1644ed4a7c93ea045ff0","signature_b64":"l36RCxRN4isVYhH+G8IOMMd+vvvD+lhVSLsIUWwFCHIoruusounUYA820BITXUpsuRKruw9xr1SiNjPXlgBMAg==","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":"2026-08-01T15:23:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7iGmqAt9EQ3pogW83JHIlHWcKGTewmIh56CPimQoiP94PdDoAuWswb0J/cFDvrqDv1I5uFTbQvISv6/rYL57BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.363949Z"},"content_sha256":"76163ab98d485e768e074344e4304800c984296312fd2a10a1700edaeb137f6b","schema_version":"1.0","event_id":"sha256:76163ab98d485e768e074344e4304800c984296312fd2a10a1700edaeb137f6b"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1002/qute.202200100 resolves to 'Benchmarking the Role of Particle Statistics in Quantum Reservoir Computing'. A reader following the printed text alone cannot reach it.","snippet":"Guillem Llodrà, Christos Charalambous, Gian Luca Giorgi, and Roberta Zam- brini. 2023. Benchmarking the Role of Particle Statistics in Quantum Reservoir Computing.Adv. Quantum Technologies6, 1 (2023), 2200100. doi:10.1002/qute. 202200100","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":86,"verdict_class":"incontrovertible","resolved_title":"Benchmarking the Role of Particle Statistics in Quantum Reservoir Computing","printed_excerpt":"10.1002/qute","reconstructed_doi":"10.1002/qute.202200100"},"severity":"advisory","ref_index":86,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1002/qute.202200100","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"05ee1484246ead6ca60e961ed9bf32222e89df8d6cd0055c8fec071aadeb5ded","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Benchmarking the Role of Particle Statistics in Quantum Reservoir Computing","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16054,"payload_sha256":"4d125020a19a9fe77007a1113fa0af9d117a5031c2af4cd691be0b8096a27b50","signature_b64":"74F2FD1sodJMfmODBf5vIVPs5ek+Rj3vBEnnUgyDmx+6U6hjaSvb3IPIpazlfb0coW7J2y3XobcJkvypZm3pCQ==","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":"2026-08-01T15:23:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"85fmjMva1Atj7ErI+1FUDRGeBbTT9uYV/wwfgP7WekgOLZ5CvscW5cx+ReJI5osqJlUxvVHX9Pw450PLfBKhAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.364311Z"},"content_sha256":"6a34a4a3de8062a17c9c4ce559c4d8ce11a288fa70b2b9377406fa5c3112eebc","schema_version":"1.0","event_id":"sha256:6a34a4a3de8062a17c9c4ce559c4d8ce11a288fa70b2b9377406fa5c3112eebc"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.48550/arXiv.2510.13634) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Wissal Hamhoum, Soumaya Cherkaoui, Jean-Frederic Laprade, Ola Ahmed, and Shengrui Wang. 2025. Multivariate Time Series Forecasting with Gate-Based Quantum Reservoir Computing on NISQ Hardware. doi:10.48550/arXiv.2510. 13634","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":55,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.48550/arxiv.2510","reconstructed_doi":"10.48550/arXiv.2510.13634"},"severity":"advisory","ref_index":55,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.48550/arXiv.2510.13634","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"63445d3f19da7c4c71738bc6448b861547aa6a447f827ea2b895aa6af761a656","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16053,"payload_sha256":"2e8253c0c0bade8121598a4a76a5755f02a6ad386873ae9ee153720fdda696d9","signature_b64":"nWbjSAvf0PyiFQPXjamla+UmBe0n+S1ypdNUSLb2y6osLAcY7daqjvOA7dFaqP9vODTK1QuBBeAzbhwOFpTFAg==","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":"2026-08-01T15:23:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZDuiX650oPH65AsgdGG4/9LlE/Dk6Oi4UcADGpNFDm+RaagUCsAXMzY+OGXP+xJzCxO1iPWpHfR0za6l6CXlCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.364662Z"},"content_sha256":"a1d661794da2caca2d6410d61b1b04c2d8c3cb545867d3311ddb2dcc1c4bc1ca","schema_version":"1.0","event_id":"sha256:a1d661794da2caca2d6410d61b1b04c2d8c3cb545867d3311ddb2dcc1c4bc1ca"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1016/j.neunet.2018.08.025 resolves to 'Echo state networks are universal'. A reader following the printed text alone cannot reach it.","snippet":"Lyudmila Grigoryeva and Juan-Pablo Ortega. 2018. Echo state networks are universal.Neural Networks108 (Dec. 2018), 495–508. doi:10.1016/j.neunet.2018. 08.025","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":51,"verdict_class":"incontrovertible","resolved_title":"Echo state networks are universal","printed_excerpt":"10.1016/j.neunet.2018","reconstructed_doi":"10.1016/j.neunet.2018.08.025"},"severity":"advisory","ref_index":51,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.neunet.2018.08.025","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"8d785c283eacb57b9bdf089d6da77f62000c405615e858afbe33bdd212261770","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Echo state networks are universal","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16052,"payload_sha256":"3c602b1ea4a7a72597d0d8ff540b8b954ca10bc53f5ea90a29017a32ddc3fc8b","signature_b64":"V8Vli/LkT9OHSebrogms3y6pHyiVB123inIdRmBc+t2YdIIeESlmgFf256aK1x63tW55rXD6mPnPdItCkWncAQ==","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":"2026-08-01T15:23:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Rja5VRdVepFA9kjrx1BE7giPlhfG1isnDK/2GzoSfU7jGNSZvtnwgJOaCaIbR8VsoFHdhJSgKgO70bsgyTbHAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.365111Z"},"content_sha256":"77bb23bf9a9eed843e2671649fcda882970e0fcd736e3fcaad5d6e0fd2bdc6fc","schema_version":"1.0","event_id":"sha256:77bb23bf9a9eed843e2671649fcda882970e0fcd736e3fcaad5d6e0fd2bdc6fc"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1103/4b99-xmqn resolves to 'Measurement-Driven Quantum Advantages in Shallow Circuits'. A reader following the printed text alone cannot reach it.","snippet":"Chenfeng Cao and Jens Eisert. 2026. Measurement-Driven Quantum Advantages in Shallow Circuits.Phys. Rev. Lett.136, 8 (Feb. 2026), 080601. doi:10.1103/4b99- xmqn","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":22,"verdict_class":"incontrovertible","resolved_title":"Measurement-Driven Quantum Advantages in Shallow Circuits","printed_excerpt":"10.1103/4b99-","reconstructed_doi":"10.1103/4b99-xmqn"},"severity":"advisory","ref_index":22,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1103/4b99-xmqn","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"b9d69050defe23c33ad8d3c0b7e6abd502e99b32156478553f3c85d7d5c6fd55","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Measurement-Driven Quantum Advantages in Shallow Circuits","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16051,"payload_sha256":"d5124912c13dd1c226adbdefabb7e12bfdf0d77a277e39f733ae54a9fa459ece","signature_b64":"x4UYTMyYK9eTrVhAKhMCg4f38O+FEaY3ZolHybLrVDmemfvzzmJhdZWO00IBJ67JQIQmaVXd2qG46ImgkcarAA==","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":"2026-08-01T15:23:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XI6jZVVEvfb32Sv4VpfESyRaWujA51oSQrSZrBdvRx3a8rKLSVq08kN7nwqKCBUO9ihxYFe64c6rl5JaEnVaCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.365484Z"},"content_sha256":"92bd74913f8367de676aca5ca8afc2befd9d8684cd2cb80bdf40e563f7ccd250","schema_version":"1.0","event_id":"sha256:92bd74913f8367de676aca5ca8afc2befd9d8684cd2cb80bdf40e563f7ccd250"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/s42484-025-00292-2) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Rocco Ballester, Jesus Cerquides, and Luis Artiles. 2025. Quantum federated learning: a comprehensive literature review of foundations, challenges, and future directions.Quantum Mach. Intell.7, 2 (July 2025), 73. doi:10.1007/s42484- 025-002","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":13,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/s42484-","reconstructed_doi":"10.1007/s42484-025-00292-2"},"severity":"advisory","ref_index":13,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/s42484-025-00292-2","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"5788b1ce4dab73c4578ccdfe0eee57806042236f721d30bcbde4c1473b67272c","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16050,"payload_sha256":"9d0d1d053f5f946288a689f448281bbe138653bf444a613b9e7cc690ce5cad9e","signature_b64":"7k1fXoQ7o+Bg0cjX3SsUbjHI2zEZYJo8YXm/KZCed1y/bnqriD5ugyw4x0m1cEQcoWUfw40xOMEfKyn07nT9AQ==","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":"2026-08-01T15:23:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PJrh4GVsRG3Vpj6KsCrXKKnM31w6WIJk6ToLctJKjqM6cTKzNYjO1bB0qfqMjHZVoVmpOqyU9E71lTlWZjqhAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.365841Z"},"content_sha256":"5d41075e8ed26abb6c76d2c571fdef79acad1e5eca84e2649fa79c7d79f2eebe","schema_version":"1.0","event_id":"sha256:5d41075e8ed26abb6c76d2c571fdef79acad1e5eca84e2649fa79c7d79f2eebe"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1103/PhysRevResearch.6.043082 resolves to 'Prediction of chaotic dynamics and extreme events: A recurrence-free quantum reservoir computing approach'. A reader following the printed text alone cannot reach it.","snippet":"Osama Ahmed, Felix Tennie, and Luca Magri. 2024. Prediction of chaotic dy- namics and extreme events: A recurrence-free quantum reservoir computing ap- proach.Physical Rev. Res.6, 4 (Nov. 2024), 043082. doi:10.1103/PhysRevResearch. 6.043082","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":5,"verdict_class":"incontrovertible","resolved_title":"Prediction of chaotic dynamics and extreme events: A recurrence-free quantum reservoir computing approach","printed_excerpt":"10.1103/physrevresearch","reconstructed_doi":"10.1103/PhysRevResearch.6.043082"},"severity":"advisory","ref_index":5,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1103/PhysRevResearch.6.043082","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"484fc79c9d584f741cea2f3dc5af0717e02c39ae9528f75de6be06831bb1b2c1","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Prediction of chaotic dynamics and extreme events: A recurrence-free quantum reservoir computing approach","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16049,"payload_sha256":"2184a39e851e68ebf48f6c42c7112e2dee819dfa75eb55a546cf3cb0d8e2b7c9","signature_b64":"1PNcnQiDHb28JQCBiA3cb2C3mJ2EelPLTon3sROCvIJj8CizkNCWOmbXBOflBOFHcCsdblcEgwsvNtnho5Y8Dw==","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":"2026-08-01T15:23:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k5DRxQPtph/6N7luLo3j3nq1sY0OE8dcPXdMgH+xLou2iW4cT0GIlOhBYRoXpuI79dDf0ClltlbiTMQzgGMzBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.366231Z"},"content_sha256":"b3a97d4667405ad576f87f52cd7a9817f7a6990e61d1b5cc0542a4c6cbc7aa92","schema_version":"1.0","event_id":"sha256:b3a97d4667405ad576f87f52cd7a9817f7a6990e61d1b5cc0542a4c6cbc7aa92"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1088/2515-7647/ae2e67) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Mohab Abdalla, Guy Van Der Sande, Apostolos Argyris, Fabio Pavanello, Miguel Cornelles Soriano, et al. 2026. Photonic reservoir computing: A the- matic review.J. of Physics: Photonics8, 2 (April 2026), 022003. doi:10.1088/2515- 7647/ae2e67","arxiv_id":"2607.18552","detector":"doi_compliance","evidence":{"ref_index":4,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1088/2515-","reconstructed_doi":"10.1088/2515-7647/ae2e67"},"severity":"advisory","ref_index":4,"audited_at":"2026-08-01T15:19:38.270902Z","event_type":"pith.integrity.v1","detected_doi":"10.1088/2515-7647/ae2e67","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"3959bb6b056e2c31af57da0e25963e96c1d024f69ad3f1f567eeb0df3b1624a2","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16048,"payload_sha256":"7ad88bfd0b1fa53f96d2659e80ef1626359029bdb0e8885a08b3b407cf61a6ad","signature_b64":"76sK/6RgOgJ48O9PX4ha+LfoFBFKZtjmaGw4gPxT9QNGA1oX7ZOi/dINpppsiWrNuFsaEsKBWAU7wE7ZCKB0BQ==","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":"2026-08-01T15:23:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HzWy8bvIIOnR0YsUafbvsqerEvw97XhC+ED0knB2vkhbU0mgGrStgGj/y/jI6GjZxhg7NBFVZE4UpYB9ecpQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:53:57.366616Z"},"content_sha256":"98451e3949c12f1bb1b35b951bfbfab17cb6728f798cbab6796d2f217368a22e","schema_version":"1.0","event_id":"sha256:98451e3949c12f1bb1b35b951bfbfab17cb6728f798cbab6796d2f217368a22e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RUONI6GZ3SJUJ2JSVVPTX5LOH3/bundle.json","state_url":"https://pith.science/pith/RUONI6GZ3SJUJ2JSVVPTX5LOH3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RUONI6GZ3SJUJ2JSVVPTX5LOH3/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":"2026-08-03T18:53:57Z","links":{"resolver":"https://pith.science/pith/RUONI6GZ3SJUJ2JSVVPTX5LOH3","bundle":"https://pith.science/pith/RUONI6GZ3SJUJ2JSVVPTX5LOH3/bundle.json","state":"https://pith.science/pith/RUONI6GZ3SJUJ2JSVVPTX5LOH3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RUONI6GZ3SJUJ2JSVVPTX5LOH3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RUONI6GZ3SJUJ2JSVVPTX5LOH3","merge_version":"pith-open-graph-merge-v1","event_count":16,"valid_event_count":16,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7bf972245d475fd982ab2fe5a2453864b9db34b71548d38e4f266e2182a6c123","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-20T22:38:49Z","title_canon_sha256":"9b90b9f4aef6f2c7ea3464fd854c97ede9700c73ec969fef73361b32b1ed43f5"},"schema_version":"1.0","source":{"id":"2607.18552","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.18552","created_at":"2026-07-22T00:22:54Z"},{"alias_kind":"arxiv_version","alias_value":"2607.18552v1","created_at":"2026-07-22T00:22:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18552","created_at":"2026-07-22T00:22:54Z"},{"alias_kind":"pith_short_12","alias_value":"RUONI6GZ3SJU","created_at":"2026-07-22T00:22:54Z"},{"alias_kind":"pith_short_16","alias_value":"RUONI6GZ3SJUJ2JS","created_at":"2026-07-22T00:22:54Z"},{"alias_kind":"pith_short_8","alias_value":"RUONI6GZ","created_at":"2026-07-22T00:22:54Z"}],"graph_snapshots":[{"event_id":"sha256:1fa4d32e76f488de0a80a8debe62798e1baf28f350bdcf8edf77dce45131387c","target":"graph","created_at":"2026-07-22T00:22:54Z","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/2607.18552/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum reservoir computing (QRC) uses the dynamics of a fixed or weakly tuned quantum system to transform temporal and sequential inputs into measured features, while training is typically confined to a classical readout. This separation reduces reliance on repeated quantum parameter updates and avoids the barren plateaus associated with variational circuit training. Its computational power is often attributed to the exponentially large Hilbert space of the quantum system. However, the memory, nonlinearity, and expressivity that determine what a reservoir can actually compute depend jointly o","authors_text":"Arshid Ali, Muhammad Diyan, Muhammad Talha, Shehbaz Tariq, Symeon Chatzinotas","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-20T22:38:49Z","title":"Quantum Reservoir Computing: Recent Advances and Future Directions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18552","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":"sha256:007c80a3a9559cf40e44dbc8485e9979d18b27e67c0e7e53c993f2eb351bd7ea","target":"record","created_at":"2026-07-22T00:22:54Z","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":"7bf972245d475fd982ab2fe5a2453864b9db34b71548d38e4f266e2182a6c123","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-20T22:38:49Z","title_canon_sha256":"9b90b9f4aef6f2c7ea3464fd854c97ede9700c73ec969fef73361b32b1ed43f5"},"schema_version":"1.0","source":{"id":"2607.18552","kind":"arxiv","version":1}},"canonical_sha256":"8d1cd478d9dc9344e932ad5f3bf56e3ec743bf486aa50bdf974ffac1278a491a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d1cd478d9dc9344e932ad5f3bf56e3ec743bf486aa50bdf974ffac1278a491a","first_computed_at":"2026-07-22T00:22:54.023153Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-22T00:22:54.023153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"waYFqkrJIJK3R5jkRW9hYd6TpiD6QlBYXHqslDCMq5xk+edqscvTi2SfSsxgzTBtdRfe29XINum6HI8LFex4CQ==","signature_status":"signed_v1","signed_at":"2026-07-22T00:22:54.023915Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.18552","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:3474f7cf341bd0cf36eb0fa4cb6bb8b29c7e726f8986882c9a5ae9eb58b2872a","sha256:41763c24d83d6614c50f9698e9027856d0fe49c0aa810b44c7f531cdad14be26","sha256:5d41075e8ed26abb6c76d2c571fdef79acad1e5eca84e2649fa79c7d79f2eebe","sha256:5fa8cb9da72b1dfe72522c74f6a4c288c5e06d461d909dcf187527029e5d1bd4","sha256:6a34a4a3de8062a17c9c4ce559c4d8ce11a288fa70b2b9377406fa5c3112eebc","sha256:76163ab98d485e768e074344e4304800c984296312fd2a10a1700edaeb137f6b","sha256:77bb23bf9a9eed843e2671649fcda882970e0fcd736e3fcaad5d6e0fd2bdc6fc","sha256:7a29e8b273d1d13964966c6e90ca265639a8c2426b3fbcb5b88b0634313771ee","sha256:801fdc6c36abb14a063a801cd2eacafd1a1ba6556a73741da56aa43f0de0f77f","sha256:835afec993cb4932183686ccdb845d0780356454e176637a5c69711157a9d817","sha256:92bd74913f8367de676aca5ca8afc2befd9d8684cd2cb80bdf40e563f7ccd250","sha256:98451e3949c12f1bb1b35b951bfbfab17cb6728f798cbab6796d2f217368a22e","sha256:a1d661794da2caca2d6410d61b1b04c2d8c3cb545867d3311ddb2dcc1c4bc1ca","sha256:b3a97d4667405ad576f87f52cd7a9817f7a6990e61d1b5cc0542a4c6cbc7aa92"]}],"invalid_events":[],"applied_event_ids":["sha256:007c80a3a9559cf40e44dbc8485e9979d18b27e67c0e7e53c993f2eb351bd7ea","sha256:1fa4d32e76f488de0a80a8debe62798e1baf28f350bdcf8edf77dce45131387c"],"state_sha256":"c15385b9ce0b2e4558d54795f449df5510686e8d2d8a649bae7dfd790cd26e48"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2WpFnmRzRqxgoD5yVcPjxJlvlwFXRt2ZF5KB677P6P/bXRg9ZiwIfLfQQXvNCMDvL9gJLkDSk0VBYIW7K+YzDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T18:53:57.373213Z","bundle_sha256":"0a2afc2cb406f560464d56a00d5db55c9e8b89e53796b76e5e7b8a9c06c39312"}}