{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ML3NTLDCBBVUGWUMOZNDI57WDT","short_pith_number":"pith:ML3NTLDC","schema_version":"1.0","canonical_sha256":"62f6d9ac62086b435a8c765a3477f61ce40bd578f6a8431012249d973646b2f5","source":{"kind":"arxiv","id":"2508.01205","version":1},"attestation_state":"computed","paper":{"title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.MM"],"primary_cat":"cs.ET","authors_text":"Chen Dong, Haotai Liang, Lei Teng, Ping Zhang, Rui Meng, Senran Fan, Xiaodong Xu, Zhicheng Bao","submitted_at":"2025-08-02T05:41:52Z","abstract_excerpt":"Semantic communication with joint semantic-channel coding robustly transmits diverse data modalities but faces challenges in mitigating semantic information loss due to packet drops in packet-based systems. Under current protocols, packets with errors are discarded, preventing the receiver from utilizing erroneous semantic data for robust decoding. To address this issue, a packet-loss-resistant MoE Swin Transformer-based Video Semantic Communication (MSTVSC) system is proposed in this paper. Semantic vectors are encoded by MSTVSC and transmitted through upper-layer protocol packetization. To i"},"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":"2508.01205","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2025-08-02T05:41:52Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"daddcfedc20670fdf79354044bea569d7e4a388083838fd800e480d361022894","abstract_canon_sha256":"2635c3fd6ca04a922100de793fa7df7fe6059b2e5e06b28b8455d91131cdfd07"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:34.791352Z","signature_b64":"uhyZrexUpduvIAZ1fi2pDMf7UZ0UcZ03qDeL5J0b9iPKQF8iT8ggF0dmOGN5fdHBNh4T7teXUnKgpUrs6ymJCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"62f6d9ac62086b435a8c765a3477f61ce40bd578f6a8431012249d973646b2f5","last_reissued_at":"2026-07-05T11:47:34.790817Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:34.790817Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.MM"],"primary_cat":"cs.ET","authors_text":"Chen Dong, Haotai Liang, Lei Teng, Ping Zhang, Rui Meng, Senran Fan, Xiaodong Xu, Zhicheng Bao","submitted_at":"2025-08-02T05:41:52Z","abstract_excerpt":"Semantic communication with joint semantic-channel coding robustly transmits diverse data modalities but faces challenges in mitigating semantic information loss due to packet drops in packet-based systems. Under current protocols, packets with errors are discarded, preventing the receiver from utilizing erroneous semantic data for robust decoding. To address this issue, a packet-loss-resistant MoE Swin Transformer-based Video Semantic Communication (MSTVSC) system is proposed in this paper. Semantic vectors are encoded by MSTVSC and transmitted through upper-layer protocol packetization. To i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.01205","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/2508.01205/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":"2508.01205","created_at":"2026-07-05T11:47:34.790872+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.01205v1","created_at":"2026-07-05T11:47:34.790872+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.01205","created_at":"2026-07-05T11:47:34.790872+00:00"},{"alias_kind":"pith_short_12","alias_value":"ML3NTLDCBBVU","created_at":"2026-07-05T11:47:34.790872+00:00"},{"alias_kind":"pith_short_16","alias_value":"ML3NTLDCBBVUGWUM","created_at":"2026-07-05T11:47:34.790872+00:00"},{"alias_kind":"pith_short_8","alias_value":"ML3NTLDC","created_at":"2026-07-05T11:47:34.790872+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2601.16472","citing_title":"Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication","ref_index":9,"is_internal_anchor":false},{"citing_arxiv_id":"2604.02691","citing_title":"Adaptive Semantic Communication for Wireless Image Transmission Leveraging Mixture-of-Experts Mechanism","ref_index":11,"is_internal_anchor":false},{"citing_arxiv_id":"2605.00897","citing_title":"SPAT: A Semantic Port-Aware Adaptive-Rate Transmission Protocol for Semantic Communication","ref_index":19,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ML3NTLDCBBVUGWUMOZNDI57WDT","json":"https://pith.science/pith/ML3NTLDCBBVUGWUMOZNDI57WDT.json","graph_json":"https://pith.science/api/pith-number/ML3NTLDCBBVUGWUMOZNDI57WDT/graph.json","events_json":"https://pith.science/api/pith-number/ML3NTLDCBBVUGWUMOZNDI57WDT/events.json","paper":"https://pith.science/paper/ML3NTLDC"},"agent_actions":{"view_html":"https://pith.science/pith/ML3NTLDCBBVUGWUMOZNDI57WDT","download_json":"https://pith.science/pith/ML3NTLDCBBVUGWUMOZNDI57WDT.json","view_paper":"https://pith.science/paper/ML3NTLDC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.01205&json=true","fetch_graph":"https://pith.science/api/pith-number/ML3NTLDCBBVUGWUMOZNDI57WDT/graph.json","fetch_events":"https://pith.science/api/pith-number/ML3NTLDCBBVUGWUMOZNDI57WDT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ML3NTLDCBBVUGWUMOZNDI57WDT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ML3NTLDCBBVUGWUMOZNDI57WDT/action/storage_attestation","attest_author":"https://pith.science/pith/ML3NTLDCBBVUGWUMOZNDI57WDT/action/author_attestation","sign_citation":"https://pith.science/pith/ML3NTLDCBBVUGWUMOZNDI57WDT/action/citation_signature","submit_replication":"https://pith.science/pith/ML3NTLDCBBVUGWUMOZNDI57WDT/action/replication_record"}},"created_at":"2026-07-05T11:47:34.790872+00:00","updated_at":"2026-07-05T11:47:34.790872+00:00"}