{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:H4245CPYXEYMDJK5SXNNQQAHO2","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":"b4bfa18133daec970a810ad7eaa8176fa64887c45562213dcac3ad53d3080e83","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-08-06T14:21:32Z","title_canon_sha256":"0dcfffde0d5fc4aca4a740622acb825657cf002528e8219c8ac3639b5edc2a58"},"schema_version":"1.0","source":{"id":"1708.01894","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.01894","created_at":"2026-05-18T00:10:47Z"},{"alias_kind":"arxiv_version","alias_value":"1708.01894v4","created_at":"2026-05-18T00:10:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.01894","created_at":"2026-05-18T00:10:47Z"},{"alias_kind":"pith_short_12","alias_value":"H4245CPYXEYM","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"H4245CPYXEYMDJK5","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"H4245CPY","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:99e0e30ab0d0a26343cc1b35afa1d1ce9cc055e8a71ecdc5d545e1a3ddeef190","target":"graph","created_at":"2026-05-18T00:10:47Z","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":"Data acquired from multi-channel sensors is a highly valuable asset to interpret the environment for a variety of remote sensing applications. However, low spatial resolution is a critical limitation for previous sensors and the constituent materials of a scene can be mixed in different fractions due to their spatial interactions. Spectral unmixing is a technique that allows us to obtain the material spectral signatures and their fractions from hyperspectral data. In this paper, we propose a novel endmember extraction and hyperspectral unmixing scheme, so called \\textit{EndNet}, that is based ","authors_text":"Berk Kaya, Gozde Bozdagi Akar, Savas Ozkan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-08-06T14:21:32Z","title":"EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.01894","kind":"arxiv","version":4},"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:b270523e6ff72f4e3a31529c16c73121a023bbd3d8f08e30cf161f180c9a345a","target":"record","created_at":"2026-05-18T00:10:47Z","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":"b4bfa18133daec970a810ad7eaa8176fa64887c45562213dcac3ad53d3080e83","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-08-06T14:21:32Z","title_canon_sha256":"0dcfffde0d5fc4aca4a740622acb825657cf002528e8219c8ac3639b5edc2a58"},"schema_version":"1.0","source":{"id":"1708.01894","kind":"arxiv","version":4}},"canonical_sha256":"3f35ce89f8b930c1a55d95dad8400776a3937f7492daeddc8129527fe237a895","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f35ce89f8b930c1a55d95dad8400776a3937f7492daeddc8129527fe237a895","first_computed_at":"2026-05-18T00:10:47.531110Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:47.531110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ay0kw+IYAMqHt0ngOER09d+ftxQESHRXa9qdHrLLc4XrSduHVnt/dc6C/9UBgck/56ZFj8UQAT19pSiAUmorAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:47.531786Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.01894","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b270523e6ff72f4e3a31529c16c73121a023bbd3d8f08e30cf161f180c9a345a","sha256:99e0e30ab0d0a26343cc1b35afa1d1ce9cc055e8a71ecdc5d545e1a3ddeef190"],"state_sha256":"ae3171524ba7337bff48d878904f99521305a9514d1f8e8e03c98f4498b20bc4"}