{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FTSAYZVHJ453PS4CZWEORPDD3G","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":"b448df57c2e06a0a212ca9c70dca3f039e1ac29e52c2152dad1ec216d5733af5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T03:36:05Z","title_canon_sha256":"9fd142e85b3771d6e93ae9861e62c57cd060063501bd9a0492d94b449a27727b"},"schema_version":"1.0","source":{"id":"2404.18401","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.18401","created_at":"2026-07-05T08:50:56Z"},{"alias_kind":"arxiv_version","alias_value":"2404.18401v3","created_at":"2026-07-05T08:50:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.18401","created_at":"2026-07-05T08:50:56Z"},{"alias_kind":"pith_short_12","alias_value":"FTSAYZVHJ453","created_at":"2026-07-05T08:50:56Z"},{"alias_kind":"pith_short_16","alias_value":"FTSAYZVHJ453PS4C","created_at":"2026-07-05T08:50:56Z"},{"alias_kind":"pith_short_8","alias_value":"FTSAYZVH","created_at":"2026-07-05T08:50:56Z"}],"graph_snapshots":[{"event_id":"sha256:9cc76c07a34e9a06882de1cd6d193415cdce9e2dd3d4154d38e9a83cfee55235","target":"graph","created_at":"2026-07-05T08:50:56Z","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/2404.18401/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, deep learning models have achieved excellent performance in hyperspectral image (HSI) classification. Among the many deep models, Transformer has gradually attracted interest for its excellence in modeling the long-range dependencies of spatial-spectral features in HSI. However, Transformer has the problem of quadratic computational complexity due to the self-attention mechanism, which is heavier than other models and thus has limited adoption in HSI processing. Fortunately, the recently emerging state space model-based Mamba shows great computational efficiency while achieving the m","authors_text":"Lingbo Huang, Xin He, Yushi Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T03:36:05Z","title":"Spectral-Spatial Mamba for Hyperspectral Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.18401","kind":"arxiv","version":3},"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":"sha256:272096a0ddebd9bc59b2ec299bc73c422bde17cc0ff050e5c520f5ae2f3d55d3","target":"record","created_at":"2026-07-05T08:50:56Z","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":"b448df57c2e06a0a212ca9c70dca3f039e1ac29e52c2152dad1ec216d5733af5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T03:36:05Z","title_canon_sha256":"9fd142e85b3771d6e93ae9861e62c57cd060063501bd9a0492d94b449a27727b"},"schema_version":"1.0","source":{"id":"2404.18401","kind":"arxiv","version":3}},"canonical_sha256":"2ce40c66a74f3bb7cb82cd88e8bc63d99dc67aa9c246446983c4346464348759","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ce40c66a74f3bb7cb82cd88e8bc63d99dc67aa9c246446983c4346464348759","first_computed_at":"2026-07-05T08:50:56.194115Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:50:56.194115Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UIG/yrIIcE9yrPtptz9xs8f2n5RuEWPVAHV0y5dFMaA1tgyTD/WnOanasjxCvOgwzxAEecYgS2/EWkpTM2qXDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:50:56.194462Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.18401","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:272096a0ddebd9bc59b2ec299bc73c422bde17cc0ff050e5c520f5ae2f3d55d3","sha256:9cc76c07a34e9a06882de1cd6d193415cdce9e2dd3d4154d38e9a83cfee55235"],"state_sha256":"99a26a04f728a400cf98941a39ea0a20aa4c3f65790b0a501fa7f9d9ee6e3ca7"}