{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2605.02794","arxiv_id":"2605.02794","integrity":{"available":true,"endpoint":"/pith/2605.02794/integrity.json","summary":{"critical":0,"advisory":1,"informational":0,"by_detector":{"doi_compliance":{"total":1,"critical":0,"advisory":1,"informational":0}}},"clean":false,"detectors_run":[{"name":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-05-20T15:33:51.834044Z","findings_count":0},{"name":"doi_title_agreement","version":"1.0.0","status":"completed","ran_at":"2026-05-20T02:31:22.213352Z","findings_count":0},{"name":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-05-19T15:58:50.942241Z","findings_count":1}],"findings":[{"detector":"doi_compliance","finding_type":"recoverable_identifier","severity":"advisory","verdict_class":"incontrovertible","note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TIP.2024.336782416) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1109/TIP.2024.336782416","detected_arxiv_id":null,"ref_index":21,"audited_at":"2026-05-19T15:58:50.942241Z"}],"snapshot_sha256":"64126ebcf9944fe30d1dcb79c37072148fabd1f6b6de1a3bcc3df41998f45d31"},"events":[{"event_id":1951,"event_type":"pith.integrity.v1","payload_sha256":"a2434885479602f0191d9deccf5c0d863e46254846f363af5aed845f64377f42","signature_b64":"lNii/9S+hPk7LUS04iw7dtmKNnQM4+7AQcYAOH5JVEMNwWzWVnbQvPs7Ft6dWNE1hOXYW49LsZpGCfSnmaElCQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T16:02:11.965702+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TIP.2024.336782416) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Hu, L., Zhang, Y., et al.: Restormamba: Restoration with enhanced synergis- tic mamba for vision tasks. IEEE Transactions on Image Processing (2024), dOI:10.1109/TIP.2024.3367824 16 S. Miriyala et al","arxiv_id":"2605.02794","detector":"doi_compliance","evidence":{"ref_index":21,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Hu, L., Zhang, Y., et al.: Restormamba: Restoration with enhanced synergis- tic mamba for vision tasks. IEEE Transactions on Image Processing (2024), dOI:10.1109/TIP.2024.3367824 16 S. Miriyala et al","reconstructed_doi":"10.1109/TIP.2024.336782416"},"severity":"advisory","ref_index":21,"audited_at":"2026-05-19T15:58:50.942241Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/TIP.2024.336782416","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"9263136c0400791afffd2b6c8270d159e9388978c9832e873ab2d331b04332ef","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2605.02794/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}