{"as_of":"2026-08-09T23:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:37733658d4c6d70f17877385c12f20cc4efcc57cc3851cdc28f40e50387eec11","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T05:50:26.151278Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T06:43:33.085873Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T12:37:53.418100Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.01205","snapshot_observed_at":"2026-08-04T06:43:33.085873Z","title":"Conquering high packet-loss erasure: Moe swin transformer- based video semantic communication,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.09291","last_updated":"2025-12-10T03:31:13Z","snapshot_observed_at":"2026-08-06T23:30:18.917640Z","submitted_at":"2025-12-10T03:31:13Z","title":"SITP: A High-Reliability Semantic Information Transport Protocol Without Retransmission for Semantic Communication","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T06:43:33.085873Z"},"links":{"cited_paper":"/paper/2508.01205","citing_paper":"/paper/2512.09291"},"observation_digest":"sha256:c242cccde36119a2a5637e459b589692f206b723f2ae0c756e6b0173d1c5a089","observation_id":"d294962a-61b0-4f4f-a57c-6142d07b1be1","resolution":{"observed_at":"2026-08-04T06:43:33.085873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"cited_work":{"arxiv_id":"2508.01205","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.01205","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Conquering high packet-loss erasure: Moe swin transformer-based video semantic communication","venue":null,"work_id":"e23a6778-2b8d-4984-ab45-a892239a94df","year":2025},"citing_paper":{"arxiv_id":"2601.16472","last_updated":"2026-05-06T22:02:10Z","snapshot_observed_at":"2026-08-05T09:26:01.350954Z","submitted_at":"2026-01-23T06:03:48Z","title":"Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-16T12:33:06.117387Z"},"links":{"cited_paper":"/paper/2508.01205","citing_paper":"/paper/2601.16472"},"observation_digest":"sha256:b8b7fc8107dda5030bafaa71590f1117811602a76605b06e4e5bb7d448aa28eb","observation_id":"1ba9d7b7-b94d-499d-8322-4de699e0d7f5","resolution":{"observed_at":"2026-05-16T12:37:53.420429Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"cited_work":{"arxiv_id":"2508.01205","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.01205","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Conquering high packet-loss erasure: Moe swin transformer-based video semantic communication","venue":null,"work_id":"e23a6778-2b8d-4984-ab45-a892239a94df","year":2025},"citing_paper":{"arxiv_id":"2604.02691","last_updated":"2026-04-03T03:35:09Z","snapshot_observed_at":"2026-08-07T06:04:18.577958Z","submitted_at":"2026-04-03T03:35:09Z","title":"Adaptive Semantic Communication for Wireless Image Transmission Leveraging Mixture-of-Experts Mechanism","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-13T20:25:24.777956Z"},"links":{"cited_paper":"/paper/2508.01205","citing_paper":"/paper/2604.02691"},"observation_digest":"sha256:7b232a91d21aa85f9221ff612d2fa987a4ca6336a38dbda5a8b72e0048d5d013","observation_id":"2e4f5905-c817-4fe8-8df3-5288f06b8c8c","resolution":{"observed_at":"2026-05-13T20:28:14.026508Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"cited_work":{"arxiv_id":"2508.01205","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.01205","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Conquering high packet-loss erasure: Moe swin transformer-based video semantic communication","venue":null,"work_id":"e23a6778-2b8d-4984-ab45-a892239a94df","year":2025},"citing_paper":{"arxiv_id":"2605.00897","last_updated":"2026-04-28T03:32:50Z","snapshot_observed_at":"2026-08-03T04:20:42.885705Z","submitted_at":"2026-04-28T03:32:50Z","title":"SPAT: A Semantic Port-Aware Adaptive-Rate Transmission Protocol for Semantic Communication","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-09T21:12:52.107475Z"},"links":{"cited_paper":"/paper/2508.01205","citing_paper":"/paper/2605.00897"},"observation_digest":"sha256:8712fb0070cd73d1aab05d72d9134f99afb9742b5e7ffe9785d933092ffee2a4","observation_id":"71170560-2b64-4489-a5bc-f0e79558d7cf","resolution":{"observed_at":"2026-05-11T14:41:31.014523Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.01205/citation-record","integrity":"/paper/2508.01205/integrity","json":"/paper/2508.01205/citation-record.json","paper":"/paper/2508.01205"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.627276Z","title":"Intellicise wireless networks from semantic commu- nications: A survey, research issues, and challenges,","venue":null,"work_id":"ca627a3d-4590-4b8e-8a37-bc50198584c9","year":null},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.002842Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:aad544a97e7af40b76b2a83bdd7374a90c2ee8ece366e94d371e401c032d0c31","observation_id":"12de92c8-d085-4467-aeb0-90acad9f351b","resolution":{"observed_at":"2026-08-06T05:50:26.631083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.615711Z","title":"Recent contributions to the mathematical theory of com- munication,","venue":null,"work_id":"f28b0d25-77ed-44e9-8eb2-cc88e5aea5f3","year":1953},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.007050Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:c73691c2e8ebdf6fe3747b74ae2b9cf137da8a6c57dca83412b5ff2b65c86791","observation_id":"473b030f-f50b-4918-a28b-12de54d72048","resolution":{"observed_at":"2026-08-06T05:50:26.619637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.010901Z","title":"A mathematical theory of communication,","venue":null,"work_id":null,"year":1948},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.010901Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:4034a57b7756f05038ab4649862db380f6e87bed914f1d55b06d55cd6af30604","observation_id":"c4d313d7-b76e-4cc6-a557-e09de52cf951","resolution":{"observed_at":"2026-08-06T05:50:26.010901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.597367Z","title":"Toward wisdom-evolutionary and primitive-concise 6G: A new paradigm of semantic communication networks,","venue":null,"work_id":"b4d21eae-74db-464c-b490-c3f142b44f68","year":2022},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.014665Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:685b1dd0445f99a8fc4e91ad9b93ec3fd983adda8b6b78650f45fcbffc0c09b4","observation_id":"1b5881f9-0809-4cdc-83a7-867858927bef","resolution":{"observed_at":"2026-08-06T05:50:26.601269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.585992Z","title":"Semantic communications: Overview, open issues, and future research directions,","venue":null,"work_id":"1fb628ea-3c9c-46a8-bb19-e2e25d04cd3b","year":2022},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.018495Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:3613204ef61584175214a591ca92eeb34fa1787f728395c6ec2c13246690b4a2","observation_id":"2220e647-7a86-4cf7-a7e9-b839ac768d4e","resolution":{"observed_at":"2026-08-06T05:50:26.589646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.574907Z","title":"A paradigm shift toward semantic communications,","venue":null,"work_id":"06132301-8ea9-49d7-8555-02070ae95b88","year":2022},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.022389Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:ccf78dd778f7d61923c6ecebf7f6a30768e5f188fc24126e784a91445ebf754b","observation_id":"e73c8b08-2122-4eef-a1dd-c054768faf28","resolution":{"observed_at":"2026-08-06T05:50:26.578703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.563440Z","title":"Semantic communication system based on semantic slice models propagation,","venue":null,"work_id":"13c0ea36-c31b-489a-9f01-df978395094c","year":2023},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.025991Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:4fa01fc14fbd5efed50ef4aeea7ff01839b1cd297cf14e881c70990b90d9ffad","observation_id":"52dd848e-496f-4955-826d-95ac44f116b6","resolution":{"observed_at":"2026-08-06T05:50:26.567395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.552394Z","title":"Model division multiple access for semantic communi- cations,","venue":null,"work_id":"0a6fed32-d929-4b37-a757-3f90d458b003","year":2023},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.029771Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:65a22abc0782cc5848bc31d84a659f23b7ba3968884b6db45fceb0a6051bac65","observation_id":"274f397e-9cb8-451f-bf6a-3c86e8f2ac3d","resolution":{"observed_at":"2026-08-06T05:50:26.555960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.541695Z","title":"MDVSC—Efficient wireless model division video se- mantic communication,","venue":null,"work_id":"79bafc45-7317-4869-aa8e-0a5bd49e5316","year":2025},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.033058Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:f0eb1c953f2a416241a84f0a7fc1cc2b41cacd77db2ee58dc8fb13458df007da","observation_id":"e918fc6c-5d20-4182-bf68-adb5e4889923","resolution":{"observed_at":"2026-08-06T05:50:26.545228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.530973Z","title":"Deep learning enabled semantic communication systems,","venue":null,"work_id":"f444e570-9d2b-4260-99e2-1b571869530c","year":2021},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.036381Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:679e11c42ea2301f83c4b76c546965ac952dffab58260bbc66693fb071773d9c","observation_id":"c843681f-efb3-4710-897e-45f05ab8bb0a","resolution":{"observed_at":"2026-08-06T05:50:26.534856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.519477Z","title":"Deep learning for joint source- channel coding of text,","venue":null,"work_id":"f1bebc71-1155-4c09-986b-14ec72d83956","year":2018},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.040224Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:26f18cd09c1f3242b88895b61e8167725f233dc2641e7ababf7fead6b15068ba","observation_id":"a2f9a979-da1d-4675-b187-b08ba174dcc6","resolution":{"observed_at":"2026-08-06T05:50:26.523436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.507577Z","title":"A perceptually mo- tivated approach for low-complexity speech semantic communication,","venue":null,"work_id":"bc439bdf-e9ef-4363-ab98-96321bfe4f4c","year":2024},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.043474Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:b12b5183fad65a1b0ecb18d80918f38e4310b7aac928ab9cad95be8e09086139","observation_id":"4c2004f9-381c-4415-b277-adf0d203f6bf","resolution":{"observed_at":"2026-08-06T05:50:26.511479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.046930Z","title":"Semantic communication systems for speech transmission,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.046930Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:70c0890586b02007fff91befa4cab95550e5204a421f730aeeb143ef9c1b39f9","observation_id":"4c706058-c6c0-433c-96af-2a17ec696bce","resolution":{"observed_at":"2026-08-06T05:50:26.046930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.490626Z","title":"Deep joint source- channel coding for wireless image transmission,","venue":null,"work_id":"1628d059-394e-471d-a5af-c711ee0eb7b8","year":2019},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.050265Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:6da8f92d16ffc0c698b66331e9a898df2e21cccb229487de132c72ca68aba413","observation_id":"07c5699e-ad08-48b2-b9f7-94d1f8efad21","resolution":{"observed_at":"2026-08-06T05:50:26.494309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.479860Z","title":"DeepJSCC-f: Deep joint source-channel coding of images with feedback,","venue":null,"work_id":"8042a6e2-db64-4350-985e-b73b039d2a89","year":2020},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.053467Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:dc96d01d30f486dc670594ff971e95ae71e1619ad02220ca7db25e14380c557b","observation_id":"bfdbb3c2-e672-4e44-b4d0-9819d5035219","resolution":{"observed_at":"2026-08-06T05:50:26.483606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.468295Z","title":"A specific task-oriented semantic image communication system for substation patrol inspection,","venue":null,"work_id":"dfdbdbb9-7623-4266-a8bc-fed64ef13524","year":2024},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.056591Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:294beb63f2bc8fb56083d2636165df860e3f65c4564a99ef9d24a219df2d0c8c","observation_id":"c807db48-8edb-43db-8ff7-705d14a951c2","resolution":{"observed_at":"2026-08-06T05:50:26.472567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.059694Z","title":"Nonlinear transform source-channel coding for semantic communications,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.059694Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:e8688c1ae5a1a2206010cd2d5e7eccb39182d1a8c581db4c0f48253dee043123","observation_id":"10bd0196-d523-4704-baba-7a0cb797af17","resolution":{"observed_at":"2026-08-06T05:50:26.059694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.450769Z","title":"W AFI-VSC: Wireless adaptive frame interpolation video semantic communication,","venue":null,"work_id":"01e6f5bf-b9df-4d65-9add-76113b69f74f","year":2024},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.062943Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:952cfa062f5df776da10cd169ca8ecc6171a15a33c4e1a4de899d47c237fa8da","observation_id":"1f6d4b89-28e9-485c-83ca-935dddfd0d59","resolution":{"observed_at":"2026-08-06T05:50:26.454761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.440361Z","title":"Agent-driven generative semantic communication with cross-modality and prediction,","venue":null,"work_id":"e4b76bcb-bc94-4f6e-98a5-be542e4eff3d","year":2025},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.066409Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:e7df337105eb4f97513dc38936c29a6f2710ab7fc4da799d1bb65808fc260f11","observation_id":"21268f44-db15-468b-8fe3-d592a04a860d","resolution":{"observed_at":"2026-08-06T05:50:26.444300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.429829Z","title":"Wireless semantic communi- cations for video conferencing,","venue":null,"work_id":"fca78b77-44f3-4c96-bd64-cc9b59a97629","year":2023},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.070101Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:3a24210af2fc4e55dd976c4cfd2da7ce2677cd68587bfb41088a55d9e521e1f0","observation_id":"28309d32-0ab5-4808-9619-c9c0b545e90e","resolution":{"observed_at":"2026-08-06T05:50:26.433468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.420116Z","title":"A semantic communication and vvc based hybrid video coding system,","venue":null,"work_id":"9931142f-b9dc-4c39-8514-53aa97dc03b2","year":2024},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.074138Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:cdaa6a3277a26d47485e0e4aec512f11df41cf4024be3a7d613536498fbef354","observation_id":"78983770-eafc-45a4-bfcd-105e7f93d206","resolution":{"observed_at":"2026-08-06T05:50:26.423563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.409263Z","title":"Multimodal se- mantic communication for generative audio-driven video conferencing,","venue":null,"work_id":"50611aae-7211-444a-b782-686523ae1386","year":2025},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.078154Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:57f415640b5fe7bef161d7b5e2413102807515286bf933e108397fb19191b9b1","observation_id":"3fac6c59-1154-4362-8834-5b786c4d1ae5","resolution":{"observed_at":"2026-08-06T05:50:26.413217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.399660Z","title":"Toward adaptive semantic communications: Efficient data transmission via online learned nonlinear transform source-channel coding,","venue":null,"work_id":"b112ce1f-43a9-4002-b00a-2d9c96162398","year":2023},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.081476Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:d6f097e1915c3f6922861a8f309c4c8cf142aafcffa03b427ab04420dfd21d05","observation_id":"794e8aee-fa24-4f14-adea-39a4300a49e4","resolution":{"observed_at":"2026-08-06T05:50:26.403316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.389284Z","title":"DSCS: A decoupled semantic communication system for video conferencing,","venue":null,"work_id":"b562eaea-884d-4109-8f1d-f64e2a643b64","year":2024},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.085034Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:6f1153798ae948285ec34c5d07cb17f1b61a1a0ada7f5f0e83f0cf12e3025be9","observation_id":"032af3bb-8a99-4776-a2b4-106850045673","resolution":{"observed_at":"2026-08-06T05:50:26.392890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.378543Z","title":"Wireless deep video semantic transmission,","venue":null,"work_id":"8afb6f5a-4203-4165-a067-6e61d2230ee7","year":2023},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.088471Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:3909cd25d9f5ed6f408323424119eacd358e1ea2dfef43f92a844d09f4978ff0","observation_id":"b636cbd7-02d7-4322-a997-8490008472ca","resolution":{"observed_at":"2026-08-06T05:50:26.382093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.368287Z","title":"DeepWiVe: Deep-learning-aided wireless video transmission,","venue":null,"work_id":"98883f4a-ad90-4823-88bc-c542dbf70316","year":2022},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.092250Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:47be583c93a769ff71371597fd35b9ab0257bd6445eb7b7188387b7f336e0788","observation_id":"f532f911-572e-4f13-a705-169ff37d1173","resolution":{"observed_at":"2026-08-06T05:50:26.371888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.358200Z","title":null,"venue":null,"work_id":"6c6300c6-9ef4-4416-b49e-a2806f34b396","year":2025},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.096129Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:18a2e2407ee336b65c34fd442e0817cc18622554ff665d4318f25a10097d8721","observation_id":"c49ba882-22b5-497e-a969-a03f81b334f5","resolution":{"observed_at":"2026-08-06T05:50:26.361653Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.347019Z","title":"Diffusion-based wireless semantic communication for VR image,","venue":null,"work_id":"1959c7a6-5b53-4a06-a77b-c036211ff761","year":2024},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.099459Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:03950231d5c5f0d09ce8faef3892a24fda63750423e8dfdb7ac9ca9d420c75f5","observation_id":"ffd90c4d-133f-4abd-add6-49e50414b143","resolution":{"observed_at":"2026-08-06T05:50:26.350619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.336369Z","title":"A semantic communication system for point cloud,","venue":null,"work_id":"f75ae8b6-ca00-4cac-a74b-c99f5898d706","year":2025},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.103350Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:945ee97ab66fe040fe86acbdaf579798c7a110475d5e250eda2930b408fc88eb","observation_id":"a2fdcb16-eacd-4d26-8b9f-f22d19b8dfd0","resolution":{"observed_at":"2026-08-06T05:50:26.340069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.325343Z","title":"sDMCM—Semantic digital modulation constellation mapping scheme for semantic communication,","venue":null,"work_id":"b09e2547-be2b-4f19-80f8-aced50ce95db","year":null},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.106896Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:3172ec66df13524294f6fd94b0ab9a3dc1defdb30e25c2e7ae0b52fea13448e3","observation_id":"471c21fe-b612-427f-a001-3e48e9960f74","resolution":{"observed_at":"2026-08-06T05:50:26.329475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.314007Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows,","venue":null,"work_id":"60aea9d1-3a85-481e-88da-c10cabee27ed","year":2021},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.111135Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:22cc10b6f613005618b08436b6c4d4a4c282b86569439b638de5f37bd9a5e197","observation_id":"d6daf8e3-e272-4b05-93f0-26eb6cfc7dce","resolution":{"observed_at":"2026-08-06T05:50:26.317910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.302598Z","title":"SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding,","venue":null,"work_id":"8520e27a-1855-414a-8d65-f0cb9172fee0","year":2025},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.114769Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:f62cfb856b46064a6275ae77873b6d7a2acd6acf4e3e19fcf707505c8f485669","observation_id":"5e08e350-5341-40d6-9b34-1d44e760ebd9","resolution":{"observed_at":"2026-08-06T05:50:26.306580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.288676Z","title":"Video Swin transformer,","venue":null,"work_id":"d59c9740-2a1d-4a85-818c-188adf595c58","year":2022},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.118485Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:97ede5ac25c1673cbd39eaece2ff2edf221678173f685c4935faa09d8b656863","observation_id":"c526716c-b289-428b-a95d-f57fa18e58f0","resolution":{"observed_at":"2026-08-06T05:50:26.294147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.16668","last_updated":"2020-06-30T10:42:02Z","snapshot_observed_at":"2026-08-07T09:27:36.420559Z","submitted_at":"2020-06-30T10:42:02Z","title":"GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.16668","snapshot_observed_at":"2026-08-06T05:50:26.121911Z","title":"GShard: Scaling giant models with conditional computation and automatic sharding,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.121911Z"},"links":{"cited_paper":"/paper/2006.16668","citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:21924fa5854a92c1a35bf93b1732038cf0870ecb81f60c8dcb879d0756dddcbd","observation_id":"79243f07-90b9-4ad0-ab98-5a36281f278c","resolution":{"observed_at":"2026-08-06T05:50:26.121911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.277386Z","title":"Video enhance- ment with task-oriented flow,","venue":null,"work_id":"ae5c1cad-7df9-452c-9401-c7735c0b94c2","year":2019},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.125646Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:b94c5a73e68bf188e080792222e4ae3551a561ea897650ccc203559db57ba832","observation_id":"5a63803b-c150-4b05-a9cb-6e9627302bf2","resolution":{"observed_at":"2026-08-06T05:50:26.281062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.264398Z","title":"Common test conditions and software reference configurations,","venue":null,"work_id":"f7de4f67-3113-43a2-a644-7a940d77fe9d","year":2013},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.129376Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:e7927ae7e6d28159ee6700e55340c1c9b8e278abbaf344b4ae521f3c7bd0ca53","observation_id":"7f962495-c849-4bc0-8897-f1a991303e30","resolution":{"observed_at":"2026-08-06T05:50:26.269602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.252357Z","title":"UVG dataset: 50/120fps 4K sequences for video codec analysis and development,","venue":null,"work_id":"4935a6a6-50db-40eb-9551-1aa1a224d3e3","year":2020},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.133555Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:64e7a977236784134263cf2a456328e631b4bb49f75391376af3e68bd13f3fcb","observation_id":"bb9b5795-7c04-4e29-8353-8cc8aecc581c","resolution":{"observed_at":"2026-08-06T05:50:26.256372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.240574Z","title":"Overview of the H.264/A VC video coding standard,","venue":null,"work_id":"16b85dbd-093c-4eb2-85a3-13227355dca4","year":2003},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.136895Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:e461abe56d29fe217b02bf0d1f1a4a65c94622d8caaee61df04194725b2cd308","observation_id":"29db623d-43ca-40b7-b844-7e5cdefe55c9","resolution":{"observed_at":"2026-08-06T05:50:26.244730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.229230Z","title":"Overview of the high efficiency video coding (HEVC) standard,","venue":null,"work_id":"d0d5a5d1-98cc-4971-9196-f5c9f44e5cf2","year":2012},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.140353Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:0090d34b170b8d16b6e25c079d3fc3e6ba817e88180b76cc2a2412ee45be943f","observation_id":"2393ba39-d019-4122-b7d5-dc3b8c6d4d6f","resolution":{"observed_at":"2026-08-06T05:50:26.232818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.217235Z","title":"Design of low-density parity check codes for 5G new radio,","venue":null,"work_id":"aaf005e2-160a-4959-88f1-5590cb044338","year":2018},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.143749Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:111a43c544b3b7a330079a7ff3fff0fde2f0dacb8a02f6a95e92075327f64c24","observation_id":"a35aa491-96f3-48b2-bc9e-801b23c9d88a","resolution":{"observed_at":"2026-08-06T05:50:26.221633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:50:26.202431Z","title":"Multiscale structural similarity for image quality assessment,","venue":null,"work_id":"ef350803-c95c-47bd-87a7-6dde1e3bfc8d","year":2003},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.147382Z"},"links":{"citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:5e856eac93a475335caa7636b242ce6e61852160bc9617bf378c9320ded918fa","observation_id":"5d1def90-8466-4126-9ebe-29aff4538dd9","resolution":{"observed_at":"2026-08-06T05:50:26.208549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01704","last_updated":"2017-03-03T14:53:13Z","snapshot_observed_at":"2026-08-06T14:10:12.161882Z","submitted_at":"2016-11-05T21:39:53Z","title":"End-to-end Optimized Image Compression","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01704","snapshot_observed_at":"2026-08-06T05:50:26.151278Z","title":"End-to-end opti- mized image compression,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T05:50:26.151278Z"},"links":{"cited_paper":"/paper/1611.01704","citing_paper":"/paper/2508.01205"},"observation_digest":"sha256:c6034fd53e5ae1ce426d52a9fc25862be81cb849a35eea33abaa8b852a0e9748","observation_id":"47cc4d6a-531f-477c-8cdf-347f864549ed","resolution":{"observed_at":"2026-08-06T05:50:26.151278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.01205","last_updated":"2025-08-02T05:41:52Z","latest_version":1,"primary_category":"cs.ET","snapshot_observed_at":"2026-08-06T14:10:52.642222Z","submitted_at":"2025-08-02T05:41:52Z","title":"Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":36},"total_outbound_references":42},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 4 inbound Pith citation observations for arXiv:2508.01205."}