{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:WVWAIZC72CGVXQNUKNZJAC2NLU","short_pith_number":"pith:WVWAIZC7","canonical_record":{"source":{"id":"1607.05336","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-07-18T21:39:00Z","cross_cats_sorted":[],"title_canon_sha256":"9536ad1608c8f48e08dcff5c1c0e78eec85c12de1ffc4b70d8cadb6a6ef2c241","abstract_canon_sha256":"f098bebf7050548b46fec0c0597f9d149b06952dd148b3867c01cf9239e18691"},"schema_version":"1.0"},"canonical_sha256":"b56c04645fd08d5bc1b45372900b4d5d3688a311914c8a6dcfcaf0a6fe86252a","source":{"kind":"arxiv","id":"1607.05336","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.05336","created_at":"2026-05-18T01:10:55Z"},{"alias_kind":"arxiv_version","alias_value":"1607.05336v1","created_at":"2026-05-18T01:10:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.05336","created_at":"2026-05-18T01:10:55Z"},{"alias_kind":"pith_short_12","alias_value":"WVWAIZC72CGV","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"WVWAIZC72CGVXQNU","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"WVWAIZC7","created_at":"2026-05-18T12:30:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:WVWAIZC72CGVXQNUKNZJAC2NLU","target":"record","payload":{"canonical_record":{"source":{"id":"1607.05336","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-07-18T21:39:00Z","cross_cats_sorted":[],"title_canon_sha256":"9536ad1608c8f48e08dcff5c1c0e78eec85c12de1ffc4b70d8cadb6a6ef2c241","abstract_canon_sha256":"f098bebf7050548b46fec0c0597f9d149b06952dd148b3867c01cf9239e18691"},"schema_version":"1.0"},"canonical_sha256":"b56c04645fd08d5bc1b45372900b4d5d3688a311914c8a6dcfcaf0a6fe86252a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:10:55.224210Z","signature_b64":"/OPqMyRmZ7mO75mld6Sm0vZ9ZPya3g80NSRVw5TTdvZL33njTxub29UQukjytP8KiUlxYA+MARpnSgVcbCzkDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b56c04645fd08d5bc1b45372900b4d5d3688a311914c8a6dcfcaf0a6fe86252a","last_reissued_at":"2026-05-18T01:10:55.223545Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:10:55.223545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1607.05336","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":"2026-05-18T01:10:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WKg+K178QBsO4MVOBFNcomivyD9duVOJhT2Dnr5M0UeT5Htzg/Mq/Vyazm8ULn/PTzueZrH4p9+d4qNFyBW0AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T10:39:52.075076Z"},"content_sha256":"4f45ecff06373bb41af80a535bef5d8bf4522b538a8530995851397bb66448a4","schema_version":"1.0","event_id":"sha256:4f45ecff06373bb41af80a535bef5d8bf4522b538a8530995851397bb66448a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:WVWAIZC72CGVXQNUKNZJAC2NLU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Abderrahim Halimi, Gerald S. Buller, Jose Bioucas-Dias, Nicolas Dobigeon, Steve McLaughlin","submitted_at":"2016-07-18T21:39:00Z","abstract_excerpt":"This paper presents two novel hyperspectral mixture models and associated unmixing algorithms. The two models assume a linear mixing model corrupted by an additive term whose expression can be adapted to account for multiple scattering nonlinearities (NL), or mismodelling effects (ME). The NL model generalizes bilinear models by taking into account higher order interaction terms. The ME model accounts for different effects such as endmember variability or the presence of outliers. The abundance and residual parameters of these models are estimated by considering a convex formulation suitable f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.05336","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":""},"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":"2026-05-18T01:10:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SoQLuAjn+JM5KACny84yf1anilPLX+OraW5KRVqNUaHkjzegDcVU/qxjBKrXBqha0H1ENu3WDVHnseefhzyZDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T10:39:52.075441Z"},"content_sha256":"01b84a0c3c3b0c32c0bcc1acfd057833632850a70ae13a86cb03815194cb2f9b","schema_version":"1.0","event_id":"sha256:01b84a0c3c3b0c32c0bcc1acfd057833632850a70ae13a86cb03815194cb2f9b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WVWAIZC72CGVXQNUKNZJAC2NLU/bundle.json","state_url":"https://pith.science/pith/WVWAIZC72CGVXQNUKNZJAC2NLU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WVWAIZC72CGVXQNUKNZJAC2NLU/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":"2026-06-22T10:39:52Z","links":{"resolver":"https://pith.science/pith/WVWAIZC72CGVXQNUKNZJAC2NLU","bundle":"https://pith.science/pith/WVWAIZC72CGVXQNUKNZJAC2NLU/bundle.json","state":"https://pith.science/pith/WVWAIZC72CGVXQNUKNZJAC2NLU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WVWAIZC72CGVXQNUKNZJAC2NLU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:WVWAIZC72CGVXQNUKNZJAC2NLU","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":"f098bebf7050548b46fec0c0597f9d149b06952dd148b3867c01cf9239e18691","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-07-18T21:39:00Z","title_canon_sha256":"9536ad1608c8f48e08dcff5c1c0e78eec85c12de1ffc4b70d8cadb6a6ef2c241"},"schema_version":"1.0","source":{"id":"1607.05336","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.05336","created_at":"2026-05-18T01:10:55Z"},{"alias_kind":"arxiv_version","alias_value":"1607.05336v1","created_at":"2026-05-18T01:10:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.05336","created_at":"2026-05-18T01:10:55Z"},{"alias_kind":"pith_short_12","alias_value":"WVWAIZC72CGV","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"WVWAIZC72CGVXQNU","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"WVWAIZC7","created_at":"2026-05-18T12:30:51Z"}],"graph_snapshots":[{"event_id":"sha256:01b84a0c3c3b0c32c0bcc1acfd057833632850a70ae13a86cb03815194cb2f9b","target":"graph","created_at":"2026-05-18T01:10:55Z","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":"This paper presents two novel hyperspectral mixture models and associated unmixing algorithms. The two models assume a linear mixing model corrupted by an additive term whose expression can be adapted to account for multiple scattering nonlinearities (NL), or mismodelling effects (ME). The NL model generalizes bilinear models by taking into account higher order interaction terms. The ME model accounts for different effects such as endmember variability or the presence of outliers. The abundance and residual parameters of these models are estimated by considering a convex formulation suitable f","authors_text":"Abderrahim Halimi, Gerald S. Buller, Jose Bioucas-Dias, Nicolas Dobigeon, Steve McLaughlin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-07-18T21:39:00Z","title":"Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.05336","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":"sha256:4f45ecff06373bb41af80a535bef5d8bf4522b538a8530995851397bb66448a4","target":"record","created_at":"2026-05-18T01:10:55Z","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":"f098bebf7050548b46fec0c0597f9d149b06952dd148b3867c01cf9239e18691","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2016-07-18T21:39:00Z","title_canon_sha256":"9536ad1608c8f48e08dcff5c1c0e78eec85c12de1ffc4b70d8cadb6a6ef2c241"},"schema_version":"1.0","source":{"id":"1607.05336","kind":"arxiv","version":1}},"canonical_sha256":"b56c04645fd08d5bc1b45372900b4d5d3688a311914c8a6dcfcaf0a6fe86252a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b56c04645fd08d5bc1b45372900b4d5d3688a311914c8a6dcfcaf0a6fe86252a","first_computed_at":"2026-05-18T01:10:55.223545Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:10:55.223545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/OPqMyRmZ7mO75mld6Sm0vZ9ZPya3g80NSRVw5TTdvZL33njTxub29UQukjytP8KiUlxYA+MARpnSgVcbCzkDA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:10:55.224210Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.05336","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f45ecff06373bb41af80a535bef5d8bf4522b538a8530995851397bb66448a4","sha256:01b84a0c3c3b0c32c0bcc1acfd057833632850a70ae13a86cb03815194cb2f9b"],"state_sha256":"9d0ae69a954b32863254e86013f12441a164cdbde80c2682342da88ec726cb16"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H4CZJUEkIfdoA+4qOrQYfsUJntoDiT59wIR51zFZOaxZg00GM3dZV9W2N5ada7dANzRMkW++YUqE8dppALpUDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-22T10:39:52.077359Z","bundle_sha256":"70e1b86a073ed5e790f527d03d8c56e8ace5edd0d8817648c411b59e22e91b07"}}