{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:FMX3BETGYU6CDH7ZRJP3KQAYBM","short_pith_number":"pith:FMX3BETG","schema_version":"1.0","canonical_sha256":"2b2fb09266c53c219ff98a5fb540180b0e681c8e4050235db51a9e43e4ab5d74","source":{"kind":"arxiv","id":"2411.09023","version":1},"attestation_state":"computed","paper":{"title":"CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lorenzo Bruzzone, Qingjiu Tian, Xingfa Gu, XuMing Zhang","submitted_at":"2024-11-13T21:00:28Z","abstract_excerpt":"Improving hyperspectral image (HSI) semantic segmentation by exploiting complementary information from a supplementary data type (referred to X-modality) is promising but challenging due to differences in imaging sensors, image content, and resolution. Current techniques struggle to enhance modality-specific and modality-shared information, as well as to capture dynamic interaction and fusion between different modalities. In response, this study proposes CoMiX, an asymmetric encoder-decoder architecture with deformable convolutions (DCNs) for HSI-X semantic segmentation. CoMiX is designed to e"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2411.09023","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-13T21:00:28Z","cross_cats_sorted":[],"title_canon_sha256":"0cb165a0a5089c8adf9a81c433d7274a1275e60010e809222729a48ad0ff9b76","abstract_canon_sha256":"5a3e649821a6aa96c22378f37121d75a43e2be8b1a4350f6b7110f932b2e61ba"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:18.379705Z","signature_b64":"0O2N3UOGEv291zqIaPO4DGJ0Cvht8a8uaMoKcFCLY5qlb/CJOFdHhw11wtbBRASK0zK3U4VDJOla34V3W/H6Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2b2fb09266c53c219ff98a5fb540180b0e681c8e4050235db51a9e43e4ab5d74","last_reissued_at":"2026-07-05T09:35:18.379329Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:18.379329Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lorenzo Bruzzone, Qingjiu Tian, Xingfa Gu, XuMing Zhang","submitted_at":"2024-11-13T21:00:28Z","abstract_excerpt":"Improving hyperspectral image (HSI) semantic segmentation by exploiting complementary information from a supplementary data type (referred to X-modality) is promising but challenging due to differences in imaging sensors, image content, and resolution. Current techniques struggle to enhance modality-specific and modality-shared information, as well as to capture dynamic interaction and fusion between different modalities. In response, this study proposes CoMiX, an asymmetric encoder-decoder architecture with deformable convolutions (DCNs) for HSI-X semantic segmentation. CoMiX is designed to e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09023","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.09023/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2411.09023","created_at":"2026-07-05T09:35:18.379378+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.09023v1","created_at":"2026-07-05T09:35:18.379378+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09023","created_at":"2026-07-05T09:35:18.379378+00:00"},{"alias_kind":"pith_short_12","alias_value":"FMX3BETGYU6C","created_at":"2026-07-05T09:35:18.379378+00:00"},{"alias_kind":"pith_short_16","alias_value":"FMX3BETGYU6CDH7Z","created_at":"2026-07-05T09:35:18.379378+00:00"},{"alias_kind":"pith_short_8","alias_value":"FMX3BETG","created_at":"2026-07-05T09:35:18.379378+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FMX3BETGYU6CDH7ZRJP3KQAYBM","json":"https://pith.science/pith/FMX3BETGYU6CDH7ZRJP3KQAYBM.json","graph_json":"https://pith.science/api/pith-number/FMX3BETGYU6CDH7ZRJP3KQAYBM/graph.json","events_json":"https://pith.science/api/pith-number/FMX3BETGYU6CDH7ZRJP3KQAYBM/events.json","paper":"https://pith.science/paper/FMX3BETG"},"agent_actions":{"view_html":"https://pith.science/pith/FMX3BETGYU6CDH7ZRJP3KQAYBM","download_json":"https://pith.science/pith/FMX3BETGYU6CDH7ZRJP3KQAYBM.json","view_paper":"https://pith.science/paper/FMX3BETG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.09023&json=true","fetch_graph":"https://pith.science/api/pith-number/FMX3BETGYU6CDH7ZRJP3KQAYBM/graph.json","fetch_events":"https://pith.science/api/pith-number/FMX3BETGYU6CDH7ZRJP3KQAYBM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FMX3BETGYU6CDH7ZRJP3KQAYBM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FMX3BETGYU6CDH7ZRJP3KQAYBM/action/storage_attestation","attest_author":"https://pith.science/pith/FMX3BETGYU6CDH7ZRJP3KQAYBM/action/author_attestation","sign_citation":"https://pith.science/pith/FMX3BETGYU6CDH7ZRJP3KQAYBM/action/citation_signature","submit_replication":"https://pith.science/pith/FMX3BETGYU6CDH7ZRJP3KQAYBM/action/replication_record"}},"created_at":"2026-07-05T09:35:18.379378+00:00","updated_at":"2026-07-05T09:35:18.379378+00:00"}