{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:OK7XP5R5LL4IO7SQAQSKGCJKUG","short_pith_number":"pith:OK7XP5R5","schema_version":"1.0","canonical_sha256":"72bf77f63d5af8877e500424a3092aa1bf6ec77907c679bb1c464bf31220fe47","source":{"kind":"arxiv","id":"2408.05455","version":1},"attestation_state":"computed","paper":{"title":"Multimodal generative semantic communication based on latent diffusion model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI"],"primary_cat":"cs.CV","authors_text":"Haoyang Wei, Lianming Xu, Li Wang, Weiqi Fu, Xin Wu","submitted_at":"2024-08-10T06:23:41Z","abstract_excerpt":"In emergencies, the ability to quickly and accurately gather environmental data and command information, and to make timely decisions, is particularly critical. Traditional semantic communication frameworks, primarily based on a single modality, are susceptible to complex environments and lighting conditions, thereby limiting decision accuracy. To this end, this paper introduces a multimodal generative semantic communication framework named mm-GESCO. The framework ingests streams of visible and infrared modal image data, generates fused semantic segmentation maps, and transmits them using a co"},"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":"2408.05455","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-10T06:23:41Z","cross_cats_sorted":["cs.NI"],"title_canon_sha256":"4c7f7f6325d2345fc2f2bcf9610d625298e40130ca9eba6e9c0a5bf542d20ab2","abstract_canon_sha256":"68e72cf3e9d27162770a8d73e81b05f5b4e5ac704a29c3ded2591bf967a6ffe9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:54:20.530131Z","signature_b64":"ww1sW8K5YXkgVx2G1JJ2kwJs9q3RJr7H3DM2/uoe9ZNk+5VOoiwmZ54GYQSMEjKuw+BrBBKS6RPfkKG7zcQVAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"72bf77f63d5af8877e500424a3092aa1bf6ec77907c679bb1c464bf31220fe47","last_reissued_at":"2026-07-05T08:54:20.529802Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:54:20.529802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multimodal generative semantic communication based on latent diffusion model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI"],"primary_cat":"cs.CV","authors_text":"Haoyang Wei, Lianming Xu, Li Wang, Weiqi Fu, Xin Wu","submitted_at":"2024-08-10T06:23:41Z","abstract_excerpt":"In emergencies, the ability to quickly and accurately gather environmental data and command information, and to make timely decisions, is particularly critical. Traditional semantic communication frameworks, primarily based on a single modality, are susceptible to complex environments and lighting conditions, thereby limiting decision accuracy. To this end, this paper introduces a multimodal generative semantic communication framework named mm-GESCO. The framework ingests streams of visible and infrared modal image data, generates fused semantic segmentation maps, and transmits them using a co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.05455","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/2408.05455/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":"2408.05455","created_at":"2026-07-05T08:54:20.529852+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.05455v1","created_at":"2026-07-05T08:54:20.529852+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.05455","created_at":"2026-07-05T08:54:20.529852+00:00"},{"alias_kind":"pith_short_12","alias_value":"OK7XP5R5LL4I","created_at":"2026-07-05T08:54:20.529852+00:00"},{"alias_kind":"pith_short_16","alias_value":"OK7XP5R5LL4IO7SQ","created_at":"2026-07-05T08:54:20.529852+00:00"},{"alias_kind":"pith_short_8","alias_value":"OK7XP5R5","created_at":"2026-07-05T08:54:20.529852+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/OK7XP5R5LL4IO7SQAQSKGCJKUG","json":"https://pith.science/pith/OK7XP5R5LL4IO7SQAQSKGCJKUG.json","graph_json":"https://pith.science/api/pith-number/OK7XP5R5LL4IO7SQAQSKGCJKUG/graph.json","events_json":"https://pith.science/api/pith-number/OK7XP5R5LL4IO7SQAQSKGCJKUG/events.json","paper":"https://pith.science/paper/OK7XP5R5"},"agent_actions":{"view_html":"https://pith.science/pith/OK7XP5R5LL4IO7SQAQSKGCJKUG","download_json":"https://pith.science/pith/OK7XP5R5LL4IO7SQAQSKGCJKUG.json","view_paper":"https://pith.science/paper/OK7XP5R5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.05455&json=true","fetch_graph":"https://pith.science/api/pith-number/OK7XP5R5LL4IO7SQAQSKGCJKUG/graph.json","fetch_events":"https://pith.science/api/pith-number/OK7XP5R5LL4IO7SQAQSKGCJKUG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OK7XP5R5LL4IO7SQAQSKGCJKUG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OK7XP5R5LL4IO7SQAQSKGCJKUG/action/storage_attestation","attest_author":"https://pith.science/pith/OK7XP5R5LL4IO7SQAQSKGCJKUG/action/author_attestation","sign_citation":"https://pith.science/pith/OK7XP5R5LL4IO7SQAQSKGCJKUG/action/citation_signature","submit_replication":"https://pith.science/pith/OK7XP5R5LL4IO7SQAQSKGCJKUG/action/replication_record"}},"created_at":"2026-07-05T08:54:20.529852+00:00","updated_at":"2026-07-05T08:54:20.529852+00:00"}