{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:BD36R2GGZHZZPMMFGCI77KVKGY","short_pith_number":"pith:BD36R2GG","schema_version":"1.0","canonical_sha256":"08f7e8e8c6c9f397b1853091ffaaaa36093793d96ed09a74a54d71e8fc3f9e3c","source":{"kind":"arxiv","id":"2608.06205","version":1},"attestation_state":"computed","paper":{"title":"CFGPNet: Cross-Attention-Based Fused Gradient Programmed Network Framework for Multispectral Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hamidreza Amindavar, Karim Faez, Nima Hatami, Saeed Sharifian","submitted_at":"2026-08-06T15:59:13Z","abstract_excerpt":"RGB--T object detection exploits the complementary strengths of visible and infrared imagery, supporting robust perception in low-light, adverse-weather, and complex multi-scale environments. However, existing methods still suffer from insufficient cross-modal interaction, unstable fusion from modality distribution gaps, and the high computational cost of heavy attention-based architectures. To address these issues, CFGPNet is proposed, a Cross-Attention-Based Fused Gradient Programmed Network framework for multispectral object detection. CFGPNet uses an improved GELAN backbone with RepViT-sty"},"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":"2608.06205","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-06T15:59:13Z","cross_cats_sorted":[],"title_canon_sha256":"527ef509257e95d98bb93f36f71899b00a085ba078f8bcc37d6a5eb2738121a5","abstract_canon_sha256":"4ba2c834ca5d5dec5793685dec7e8578cd35fa9fbe75e60f5e238588fcfe077d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-07T01:40:56.318956Z","signature_b64":"mzVJTBs4Rynu7eGngzBOO6I0WW64qHQMPY52/c4lEUYb0zGDGFfMgjQMdC7SZAJ4Vu9LOyYSsjfiFtFwYNdfDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08f7e8e8c6c9f397b1853091ffaaaa36093793d96ed09a74a54d71e8fc3f9e3c","last_reissued_at":"2026-08-07T01:40:56.316683Z","signature_status":"signed_v1","first_computed_at":"2026-08-07T01:40:56.316683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CFGPNet: Cross-Attention-Based Fused Gradient Programmed Network Framework for Multispectral Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hamidreza Amindavar, Karim Faez, Nima Hatami, Saeed Sharifian","submitted_at":"2026-08-06T15:59:13Z","abstract_excerpt":"RGB--T object detection exploits the complementary strengths of visible and infrared imagery, supporting robust perception in low-light, adverse-weather, and complex multi-scale environments. However, existing methods still suffer from insufficient cross-modal interaction, unstable fusion from modality distribution gaps, and the high computational cost of heavy attention-based architectures. To address these issues, CFGPNet is proposed, a Cross-Attention-Based Fused Gradient Programmed Network framework for multispectral object detection. CFGPNet uses an improved GELAN backbone with RepViT-sty"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06205","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/2608.06205/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":"2608.06205","created_at":"2026-08-07T01:40:56.319667+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.06205v1","created_at":"2026-08-07T01:40:56.319667+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06205","created_at":"2026-08-07T01:40:56.319667+00:00"},{"alias_kind":"pith_short_12","alias_value":"BD36R2GGZHZZ","created_at":"2026-08-07T01:40:56.319667+00:00"},{"alias_kind":"pith_short_16","alias_value":"BD36R2GGZHZZPMMF","created_at":"2026-08-07T01:40:56.319667+00:00"},{"alias_kind":"pith_short_8","alias_value":"BD36R2GG","created_at":"2026-08-07T01:40:56.319667+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/BD36R2GGZHZZPMMFGCI77KVKGY","json":"https://pith.science/pith/BD36R2GGZHZZPMMFGCI77KVKGY.json","graph_json":"https://pith.science/api/pith-number/BD36R2GGZHZZPMMFGCI77KVKGY/graph.json","events_json":"https://pith.science/api/pith-number/BD36R2GGZHZZPMMFGCI77KVKGY/events.json","paper":"https://pith.science/paper/BD36R2GG"},"agent_actions":{"view_html":"https://pith.science/pith/BD36R2GGZHZZPMMFGCI77KVKGY","download_json":"https://pith.science/pith/BD36R2GGZHZZPMMFGCI77KVKGY.json","view_paper":"https://pith.science/paper/BD36R2GG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.06205&json=true","fetch_graph":"https://pith.science/api/pith-number/BD36R2GGZHZZPMMFGCI77KVKGY/graph.json","fetch_events":"https://pith.science/api/pith-number/BD36R2GGZHZZPMMFGCI77KVKGY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BD36R2GGZHZZPMMFGCI77KVKGY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BD36R2GGZHZZPMMFGCI77KVKGY/action/storage_attestation","attest_author":"https://pith.science/pith/BD36R2GGZHZZPMMFGCI77KVKGY/action/author_attestation","sign_citation":"https://pith.science/pith/BD36R2GGZHZZPMMFGCI77KVKGY/action/citation_signature","submit_replication":"https://pith.science/pith/BD36R2GGZHZZPMMFGCI77KVKGY/action/replication_record"}},"created_at":"2026-08-07T01:40:56.319667+00:00","updated_at":"2026-08-07T01:40:56.319667+00:00"}