{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TXPBNOLKCEBCPBDUXWQEWX7ZZ2","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9e007ee5c7814eb178376cb4140158e4227c8d4ca168466bc16b21bd155b7bce","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-07-26T04:11:43Z","title_canon_sha256":"40e99409f4141737c2a2bf838d708086932cc703b655d8ec7b7f356f73c5b11b"},"schema_version":"1.0","source":{"id":"2507.19781","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19781","created_at":"2026-07-05T11:43:41Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19781v1","created_at":"2026-07-05T11:43:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19781","created_at":"2026-07-05T11:43:41Z"},{"alias_kind":"pith_short_12","alias_value":"TXPBNOLKCEBC","created_at":"2026-07-05T11:43:41Z"},{"alias_kind":"pith_short_16","alias_value":"TXPBNOLKCEBCPBDU","created_at":"2026-07-05T11:43:41Z"},{"alias_kind":"pith_short_8","alias_value":"TXPBNOLK","created_at":"2026-07-05T11:43:41Z"}],"graph_snapshots":[{"event_id":"sha256:8187e5cac8f15c86aa45dd166bd9cb4aec55b54877de07112b44983af561058c","target":"graph","created_at":"2026-07-05T11:43:41Z","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/2507.19781/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised learning has revolutionized representation learning in vision and language, but remains underexplored for hyperspectral imagery (HSI), where the sequential structure of spectral bands offers unique opportunities. In this work, we propose Spectral Band Permutation Prediction (SpecBPP), a novel self-supervised learning framework that leverages the inherent spectral continuity in HSI. Instead of reconstructing masked bands, SpecBPP challenges a model to recover the correct order of shuffled spectral segments, encouraging global spectral understanding. We implement a curriculum-bas","authors_text":"Belen Marti-Cardona, Daniel La'ah Ayuba, Jean-Yves Guillemaut, Oscar Mendez Maldonado","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-07-26T04:11:43Z","title":"SpecBPP: A Self-Supervised Learning Approach for Hyperspectral Representation and Soil Organic Carbon Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19781","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:e0c148908fe0fbb2415948778ff4f119b22fbe4a9ad91fc895cbeb913ea97a59","target":"record","created_at":"2026-07-05T11:43:41Z","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":"9e007ee5c7814eb178376cb4140158e4227c8d4ca168466bc16b21bd155b7bce","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-07-26T04:11:43Z","title_canon_sha256":"40e99409f4141737c2a2bf838d708086932cc703b655d8ec7b7f356f73c5b11b"},"schema_version":"1.0","source":{"id":"2507.19781","kind":"arxiv","version":1}},"canonical_sha256":"9dde16b96a1102278474bda04b5ff9ce9365b2e6b506c610ea7a2f5610c1ed1b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9dde16b96a1102278474bda04b5ff9ce9365b2e6b506c610ea7a2f5610c1ed1b","first_computed_at":"2026-07-05T11:43:41.856604Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:43:41.856604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OO7Ah/T2Wh5iSAl7ONPs5YirKBeCNKY+YC48kn+qSvEQZDXZXHf0XjJaLS9DDF79dk48Hs6tXfRNVKflWH48BA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:43:41.856985Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.19781","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0c148908fe0fbb2415948778ff4f119b22fbe4a9ad91fc895cbeb913ea97a59","sha256:8187e5cac8f15c86aa45dd166bd9cb4aec55b54877de07112b44983af561058c"],"state_sha256":"f5f454f4cb554637e9360f09018a4c7f04d9964bd6acfe49620166cf2aa2c71e"}