{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HIQPRH3YSHOZ7R72LKVTWZE3LE","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":"cce0b6c4db2bad6d3316d6b1ded0406a3fde565df92915a950738b4443cffd84","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-26T03:11:21Z","title_canon_sha256":"5d788cb7a797115d79a10f5c6e147a315302c35808a0695c4af0dfd2d2e4d4da"},"schema_version":"1.0","source":{"id":"1704.07961","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.07961","created_at":"2026-05-18T00:03:19Z"},{"alias_kind":"arxiv_version","alias_value":"1704.07961v5","created_at":"2026-05-18T00:03:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.07961","created_at":"2026-05-18T00:03:19Z"},{"alias_kind":"pith_short_12","alias_value":"HIQPRH3YSHOZ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HIQPRH3YSHOZ7R72","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HIQPRH3Y","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:6b6fb596a0896560d520a7fcda5e9bee7d9ec9a559169d2fea2b68f384dede45","target":"graph","created_at":"2026-05-18T00:03:19Z","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"},"paper":{"abstract_excerpt":"The problem of unsupervised learning and segmentation of hyperspectral images is a significant challenge in remote sensing. The high dimensionality of hyperspectral data, presence of substantial noise, and overlap of classes all contribute to the difficulty of automatically clustering and segmenting hyperspectral images. We propose an unsupervised learning technique called spectral-spatial diffusion learning (DLSS) that combines a geometric estimation of class modes with a diffusion-inspired labeling that incorporates both spectral and spatial information. The mode estimation incorporates the ","authors_text":"James M. Murphy, Mauro Maggioni","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-26T03:11:21Z","title":"Unsupervised Clustering and Active Learning of Hyperspectral Images with Nonlinear Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.07961","kind":"arxiv","version":5},"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":"sha256:321f7fff11dced3a8c6a10bd19b3ae49db60d065c9264f4153fd63f5a302d5fe","target":"record","created_at":"2026-05-18T00:03:19Z","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":"cce0b6c4db2bad6d3316d6b1ded0406a3fde565df92915a950738b4443cffd84","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-26T03:11:21Z","title_canon_sha256":"5d788cb7a797115d79a10f5c6e147a315302c35808a0695c4af0dfd2d2e4d4da"},"schema_version":"1.0","source":{"id":"1704.07961","kind":"arxiv","version":5}},"canonical_sha256":"3a20f89f7891dd9fc7fa5aab3b649b591ff4f9d71be92ba68899c1dcab6548f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a20f89f7891dd9fc7fa5aab3b649b591ff4f9d71be92ba68899c1dcab6548f1","first_computed_at":"2026-05-18T00:03:19.746787Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:19.746787Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TxK0sdRitm+M4tw5rmtd9guztKsDKBXdhH9zVbBvadIIcyZcYMFUGVeEFo9Pe74LBQXLOyPIfjMi+WANHMUwCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:19.747310Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.07961","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:321f7fff11dced3a8c6a10bd19b3ae49db60d065c9264f4153fd63f5a302d5fe","sha256:6b6fb596a0896560d520a7fcda5e9bee7d9ec9a559169d2fea2b68f384dede45"],"state_sha256":"ec4b6c49dab4e07bcccd2affe4052fd709a85b9e1799e79c03062ea788eb93d1"}