{"as_of":"2026-08-10T17:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dc079dc308e7d7fc9eb58b941d9cf9749af1437871cef29c70ee27d1379c4658","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T22:14:07.717150Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T21:23:04.333248Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03753","snapshot_observed_at":"2026-07-14T21:23:04.333248Z","title":"Generative diffusion model- based compression of MIMO CSI,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.14324","last_updated":"2026-05-29T07:46:48Z","snapshot_observed_at":"2026-07-14T21:23:01.686429Z","submitted_at":"2026-03-15T10:52:58Z","title":"Learning-to-Defer with Expert-Conditional Advice","version":5},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-14T21:23:04.333248Z"},"links":{"cited_paper":"/paper/2503.03753","citing_paper":"/paper/2603.14324"},"observation_digest":"sha256:718cde2f3800f44d0e8dcc9a65a83378b80dd49fce658737e0fe56f8699d6031","observation_id":"91e63eb1-ca66-4438-92e2-795ee951ce85","resolution":{"observed_at":"2026-07-14T21:23:04.333248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.03753/citation-record","integrity":"/paper/2503.03753/integrity","json":"/paper/2503.03753/citation-record.json","paper":"/paper/2503.03753"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T22:14:07.972952Z","title":"Overview of deep learning- based CSI feedback in massive MIMO systems,","venue":null,"work_id":"91ac5bc4-f212-432d-be97-d0df05550135","year":2022},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.634750Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:a3b96af62dac6f9cf9df5d9b8c068ac2b8ddf9c1885f7617158d169cc28e285f","observation_id":"d93ac47f-d0c3-4d36-aa25-3ce3c5991243","resolution":{"observed_at":"2026-08-08T22:14:07.975445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.967030Z","title":"Dahlman, S","venue":null,"work_id":"9fb4ecc9-10d1-4fd0-a8d1-d1ee6803b8f4","year":2013},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.637781Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:5ff070d1510606611b19946505c779575459d18f3777e47315647fe1b41f927c","observation_id":"28fc6093-a799-4a33-b2f2-459756c21f4a","resolution":{"observed_at":"2026-08-08T22:14:07.968991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.961089Z","title":"Zaidi, F","venue":null,"work_id":"d9b64c31-874c-4d4f-8b45-7f78dfe59a26","year":2018},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.639981Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:6be2788a1e12aa1760ee0a4c46a77f19349f652d7d00209cf607b8cfa32f3cf6","observation_id":"cd88e348-9222-498e-ae53-7ef0edbaf9fd","resolution":{"observed_at":"2026-08-08T22:14:07.963056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.954833Z","title":"End-to-end optimized image compression,","venue":null,"work_id":"8aac4c36-76df-442e-8d0a-8e534738d8cb","year":2017},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.642149Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:631100929828c0faf3c67012328907d72f73d1b2670eb4d4a2a3176ad8c91fca","observation_id":"f8f6cb8b-a806-4faa-b334-4d30878dd03c","resolution":{"observed_at":"2026-08-08T22:14:07.957116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.644214Z","title":"Variational image compression with a scale hyperprior,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.644214Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:eb14b24720e6bb62bc3efc823d0d257e1021e8c6874bfc1ad302d167f8535b30","observation_id":"59454fb5-6c68-4a80-b0ae-a76d539a9add","resolution":{"observed_at":"2026-08-08T22:14:07.644214Z","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":"2026-08-08T22:14:07.944778Z","title":"Lossy image compression with compressive autoencoders,","venue":null,"work_id":"a187274f-6fcd-4384-8d73-45fa8293f0d8","year":2017},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.646260Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:4419c84e3063a484cabf296ab3b57d0e9c9780fe7099ec997f9eb36d84f612f6","observation_id":"053dc00a-09b5-45fd-9946-dfc858d1978d","resolution":{"observed_at":"2026-08-08T22:14:07.946876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.938697Z","title":"An introduction to neural data compression,","venue":null,"work_id":"d6732790-660f-4794-a510-0daf0cc1632a","year":2023},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.648283Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:e9abaf855583bc906f07024abc45de936069f06d86ac30df28a076c12e761ca8","observation_id":"d11ac509-2530-49fb-a987-1d511f4d4c47","resolution":{"observed_at":"2026-08-08T22:14:07.940889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.650067Z","title":"The JPEG still picture compression standard,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.650067Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:a1f118e0989896fb3bb3b5b19e843af589030d72b7213edfbac18c0bb92653c8","observation_id":"f896f8f6-639a-4941-9960-c93d93c846f6","resolution":{"observed_at":"2026-08-08T22:14:07.650067Z","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":"2026-08-08T22:14:07.928906Z","title":"On universal quantization,","venue":null,"work_id":"8427808a-6da1-4f8e-9146-05f9bfb08572","year":1985},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.651994Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:6703e330fde3b9902fa1b1b958ffebb515f1c7d717c351383462203c9f3ceba5","observation_id":"64b75cae-c802-44db-8be7-32219c0aba1e","resolution":{"observed_at":"2026-08-08T22:14:07.930920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.922693Z","title":"Joint autoregressive and hierarchical priors for learned image compression,","venue":null,"work_id":"ea054ead-ade8-4346-b5de-95a98f7684bf","year":2018},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.653963Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:a55c01ece428f88d22a6227f59bf1fa50e18179ab4ccdde3edee4c839232dee9","observation_id":"2b5e47c2-aea1-44ad-9639-89329214e85a","resolution":{"observed_at":"2026-08-08T22:14:07.924875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.655795Z","title":"Deep learning for massive MIMO CSI feedback,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.655795Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:1b6e4d3e79f943b14f77d438caa739023e0f0bb666ceada2683c94c62579ff9b","observation_id":"f7763be4-af11-4dbc-8bee-9fa600f3b858","resolution":{"observed_at":"2026-08-08T22:14:07.655795Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T22:14:07.657813Z","title":"Deep learning-based CSI feedback approach for time-varying massive MIMO channels,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.657813Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:ba0e81c56b3dda847669df56df114ce22fcd959534a793e79d60ff31cd1438cd","observation_id":"03885c15-fd13-4ce3-8f92-a892792192a2","resolution":{"observed_at":"2026-08-08T22:14:07.657813Z","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":"2026-08-08T22:14:07.909118Z","title":"A novel CSI feedback approach for massive MIMO using LSTM-attention CNN,","venue":null,"work_id":"8cabff70-8227-4eb7-8e2d-4b9bd23ebc1e","year":2020},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.660175Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:46b7e1bddc51ec36baf876ba9bff03bcfc753dfde407b871c59009920ac52340","observation_id":"5ff9d456-ab38-4867-8869-0aeabc0c99a5","resolution":{"observed_at":"2026-08-08T22:14:07.911256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.902714Z","title":"HyperRNN: Deep learning-aided downlink CSI acquisition via partial channel reciprocity for FDD massive MIMO,","venue":null,"work_id":"65b87b87-88fc-4e28-bd3b-9470a62dd698","year":2021},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.662019Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:ede34261cbc17d5b399bf4e54802c5cb89ad21e47e5822be5be18ab1c89fc7ec","observation_id":"4190dc9f-c3d5-40f0-a18e-e24ab1dbb384","resolution":{"observed_at":"2026-08-08T22:14:07.905043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.664029Z","title":"Multi-resolution CSI feedback with deep learning in massive MIMO system,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.664029Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:81bb846563290e3ca24c21bc0df8c7790d9184e7274d98d9096c64fd0e120ad2","observation_id":"fe24b221-af59-4457-a5a6-43b79f6e9e46","resolution":{"observed_at":"2026-08-08T22:14:07.664029Z","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":"2026-08-08T22:14:07.892409Z","title":"Multi-rate variable-length CSI compression for FDD massive MIMO,","venue":null,"work_id":"0f43b92c-83f9-4554-833c-a7194220ac8e","year":2024},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.665920Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:18e69b73568d5e1546a39774def5cd77dd7e734e09f207365bfc81ff134933cf","observation_id":"ddf3b379-8c58-4c00-af49-d9dbda3ae1ef","resolution":{"observed_at":"2026-08-08T22:14:07.894906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.668004Z","title":"Deep autoencoder-based massive MIMO CSI feedback with quantization and entropy coding,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.668004Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:5b685e54114665d3e92e4cf45bfdf99e7d28eea7bc7f564ca2493cc5ca984548","observation_id":"a7709c48-96e8-420a-9d35-4978e7869ac6","resolution":{"observed_at":"2026-08-08T22:14:07.668004Z","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":"2026-08-08T22:14:07.882259Z","title":"Machine learning-based CSI feedback with variable length in FDD massive MIMO,","venue":null,"work_id":"51933cb5-0d79-4600-852b-7ca38699e400","year":2022},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.670111Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:273f0420f4bb84706a7c060d2192b6ed22636d4b021512bcde1d9e9decfccc37","observation_id":"2808b46d-006d-42c2-a3ec-19bd90f67b59","resolution":{"observed_at":"2026-08-08T22:14:07.884400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.876208Z","title":"Learning variable-rate codes for CSI feedback,","venue":null,"work_id":"b67a7cae-1d82-4434-9c08-2175cc46786a","year":2022},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.672141Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:ccaf8b0cecefeee23aaf45896f7c631790ffe71ae299e6c5155453ac38ae9157","observation_id":"97e7facf-c5c7-4fc6-9977-b4c883bb5075","resolution":{"observed_at":"2026-08-08T22:14:07.878295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.870030Z","title":"An overview of 5G advanced evolution in 3GPP release 18,","venue":null,"work_id":"2105bc45-af82-497b-803d-e37299537c71","year":2022},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.674077Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:be9f148f713880a581c2c7ca0b897e7601d1c3f5e0500ce1c55c027c0b6c0e16","observation_id":"db4fe32e-8654-423b-af44-e84a7f3de632","resolution":{"observed_at":"2026-08-08T22:14:07.872156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.863687Z","title":"Diffusion models: A comprehensive survey of methods and applications,","venue":null,"work_id":"12382402-52b7-49be-af58-a0339ed6ca2d","year":2023},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.676188Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:35c2ce4e37c84f9fa4af38ff203a0f7ca8771a2f7ab1117564d2fafab8860f7b","observation_id":"d95c6a44-6071-4046-9b21-2a8f24be5580","resolution":{"observed_at":"2026-08-08T22:14:07.866035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.857402Z","title":"U-Net: Convolutional networks for biomedical image segmentation,","venue":null,"work_id":"145b0d8e-a49a-47b8-8e6e-0023603dce11","year":2015},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.678590Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:669d777aa9c7111215b2499b85781d08b89f80596c5f9cd6579acc6acab18dac","observation_id":"cbbc5b38-2968-4647-aa24-49d76f2d45a5","resolution":{"observed_at":"2026-08-08T22:14:07.859574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.680497Z","title":"Diffusion models in vision: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.680497Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:5be0acf9c978bb7eceb725a61e6e93b54af16ad00741b79dd12d9626609fa2fa","observation_id":"a048fb24-0ef1-4e1e-b0ed-6a0290ce6b74","resolution":{"observed_at":"2026-08-08T22:14:07.680497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.08889","last_updated":"2022-12-31T13:56:37Z","snapshot_observed_at":"2026-08-10T17:14:12.845511Z","submitted_at":"2022-06-17T16:46:31Z","title":"Lossy Compression with Gaussian Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.08889","snapshot_observed_at":"2026-08-08T22:14:07.682635Z","title":"Lossy compression with gaussian diffusion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.682635Z"},"links":{"cited_paper":"/paper/2206.08889","citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:a89f29d781632014d94016a0df55a9a1c0d8dcd071984635cea0b7eae7a14bcc","observation_id":"a2914138-e568-4d80-b174-56caff69bcf1","resolution":{"observed_at":"2026-08-08T22:14:07.682635Z","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":"2026-08-08T22:14:07.846940Z","title":"Lossy image compression with conditional diffusion models,","venue":null,"work_id":"8af4da0b-f025-4910-9b8f-918cd58a83b0","year":2024},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.684992Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:9a4daa4f42daebb3b4eef30ec4815f6659c280dd21692a8efb81732e80e18184","observation_id":"a58df1cc-1ecf-4551-8052-c078fd528425","resolution":{"observed_at":"2026-08-08T22:14:07.849402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.840711Z","title":"Generalization of the rate-distortion function for wyner-ziv coding of noisy sources in the quadratic-gaussian case,","venue":null,"work_id":"23cd7bd5-7db2-4ae4-b316-fb6a040c44b1","year":2005},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.686924Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:5b136d5ddbd86cb1e6dcf1d166c6516abcb914dcf373c2914b07168f051c2799","observation_id":"d52f10c5-65ad-47bd-b51a-f925ea44fd24","resolution":{"observed_at":"2026-08-08T22:14:07.842977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.833365Z","title":"Eliminating channel feedback in next-generation cellular networks,","venue":null,"work_id":"4635ecc5-47a8-4617-989d-4fb7c206f79f","year":2016},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.688930Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:160a532e12113cb4ed41ca08b8d2ca6538a27b74d9430b2b59db3a7081270100","observation_id":"6e6bbd73-27f7-4675-894e-e793f7b30ec0","resolution":{"observed_at":"2026-08-08T22:14:07.836553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.826320Z","title":"FDD massive MIMO without CSI feedback,","venue":null,"work_id":"8adcd3a1-2409-458d-b394-a9288d4a6589","year":2023},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.690944Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:a04ad7b41c0e0ac36f0e9c3d36d9e1f39714733cf8ff675219a2f9a70f89eac1","observation_id":"4df87e6f-5aeb-486a-bd8c-be1a243e2e72","resolution":{"observed_at":"2026-08-08T22:14:07.828573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.819485Z","title":"NR; physical layer procedures for data (release 15),","venue":null,"work_id":"b153babf-7eb7-4055-a7c1-bb4320261ff1","year":2017},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.692976Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:c7204e341663f9ec675eba76e5add837bdf29e45f3c4e267fdfb366231b79fc9","observation_id":"f0bc3b68-32b5-45a5-800a-5e852ce93514","resolution":{"observed_at":"2026-08-08T22:14:07.821741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11854","last_updated":"2023-03-20T13:51:38Z","snapshot_observed_at":"2026-08-08T03:14:20.710374Z","submitted_at":"2022-03-22T16:31:44Z","title":"Sionna: An Open-Source Library for Next-Generation Physical Layer Research","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11854","snapshot_observed_at":"2026-08-08T22:14:07.695447Z","title":"Sionna: An open-source library for next-generation physical layer research,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.695447Z"},"links":{"cited_paper":"/paper/2203.11854","citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:8dea170130b91376569c281e11b71881692c91a42aca698da65b5f6f531543e2","observation_id":"52a162c0-aef8-448d-99a8-d15d6c04fb84","resolution":{"observed_at":"2026-08-08T22:14:07.695447Z","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":"2026-08-08T22:14:07.813178Z","title":"Neural discrete representation learning,","venue":null,"work_id":"dbd59cd0-81ef-4353-b45a-548c48b778aa","year":2017},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.697755Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:2f9ee5edc08741ff3678617f53ab96d29d28beef9d4f9e9fa719f72c368674b0","observation_id":"0a0b4308-0a55-456a-90e3-a0ec5719ef02","resolution":{"observed_at":"2026-08-08T22:14:07.815428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.807026Z","title":"Denoising diffusion implicit models,","venue":null,"work_id":"8ef90669-cd91-44be-9e02-b76ed520e4c6","year":2022},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.699710Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:2977716759a7fa2f6080eb7c8f4b2c9f9318ffd264a3d476a96868e7fbf84021","observation_id":"5ceeaba2-4b6b-4e35-902c-172444cea7b0","resolution":{"observed_at":"2026-08-08T22:14:07.809207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.800916Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":"9810fa6a-b8f8-4269-bfc1-9eb6d1c4194f","year":2020},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.701636Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:8b6886933a702a6872367bc0e9e0995fc0f8fb20a2e2f09e7a35fb706cfc7488","observation_id":"ae4adfbf-6d5e-462f-9bce-dcd4cf0af390","resolution":{"observed_at":"2026-08-08T22:14:07.803043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.703538Z","title":"Progressive distillation for fast sampling of diffusion models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.703538Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:af0d8358755a2ced52c795c338bd4b06ab573cde6c3c0abf313fa6f40f8f1259","observation_id":"4276fa2d-d6c2-4e06-8bfa-ad786e132b22","resolution":{"observed_at":"2026-08-08T22:14:07.703538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-08T22:14:07.705262Z","title":"Adam: A method for stochastic opti- mization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.705262Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:e804784353b0aafe042c365063d850222064c34a667f3e669282da77bf7411c2","observation_id":"54708f19-cfa2-4e3c-8962-81363a2ef26c","resolution":{"observed_at":"2026-08-08T22:14:07.705262Z","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":"2026-08-08T22:14:07.790264Z","title":"Study on channel model for frequencies from 0.5 to 100 GHz,","venue":null,"work_id":"d32ce621-429c-4fdd-9461-cf9c6049f326","year":2019},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.707437Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:5c8c95a444368c91c7c2e23db20ee0492f5f5d685fb433e4702cd70308e3a13b","observation_id":"a7db1766-6565-4852-9173-2c86fe157692","resolution":{"observed_at":"2026-08-08T22:14:07.792649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.784188Z","title":"Spatial- and frequency- wideband effects in millimeter-wave massive MIMO systems,","venue":null,"work_id":"85797e83-4e2f-471e-9148-81841e01da9c","year":2018},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.709375Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:c2ebd8071bf7bfb30749986515ff9ee5340d856059c91bdd1f70c0f98e30014c","observation_id":"1ef74728-0318-448c-b1b1-ce454fcc8cb0","resolution":{"observed_at":"2026-08-08T22:14:07.786232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20068","last_updated":"2024-05-30T13:57:14Z","snapshot_observed_at":"2026-08-04T11:15:38.605386Z","submitted_at":"2024-05-30T13:57:14Z","title":"An Efficient Network with Novel Quantization Designed for Massive MIMO CSI Feedback","version":1},"cited_work":{"arxiv_id":"2405.20068","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.20068","snapshot_observed_at":"2026-08-08T22:14:07.736061Z","title":"An Efficient Network with Novel Quantization Designed for Massive MIMO CSI Feedback","venue":"eess.SP","work_id":"c5abaf69-3c67-4b9e-bc04-79e70076dff5","year":2024},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.711206Z"},"links":{"cited_paper":"/paper/2405.20068","citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:8a3bf2551574ee2362eab1152c354ab0b038be94762b573259d8313f6a4e4ecd","observation_id":"13956737-cb68-4d98-826a-89b37060534c","resolution":{"observed_at":"2026-08-08T22:14:07.740502Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.777998Z","title":"Convolutional neural network- based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis,","venue":null,"work_id":"00e71768-ed98-494d-9836-fb900793b77d","year":2020},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.713427Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:5394e76f0be4d49e5c0ad525c50c60b3e523c9ea206c400606d2dc77375b3937","observation_id":"2c52e0f8-167d-446b-be93-3d8de38354db","resolution":{"observed_at":"2026-08-08T22:14:07.780117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.771420Z","title":"Malunet: A multi-attention and light-weight unet for skin lesion segmentation,","venue":null,"work_id":"e3d8666a-748e-461f-8da2-aaad9086bbbd","year":2022},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.715310Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:60669f30161ab4fafc863e38de66577a0997da6bf99515926b91042ee4f75353","observation_id":"952cf030-d616-4d72-9c84-5a899e446385","resolution":{"observed_at":"2026-08-08T22:14:07.773786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-08T22:14:07.764020Z","title":"Flow straight and fast: Learning to generate and transfer data with rectified flow,","venue":null,"work_id":"922f60d2-75f6-4eac-9d84-f901437c8741","year":2022},"citing_paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T22:14:07.717150Z"},"links":{"citing_paper":"/paper/2503.03753"},"observation_digest":"sha256:813d551657f79149798b12aec7e5dc4bad696127a156fbc08c8104851ff0ee88","observation_id":"6c8c88bd-3a26-4ccf-a417-66ced13ff574","resolution":{"observed_at":"2026-08-08T22:14:07.766679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2503.03753","last_updated":"2025-02-07T02:24:12Z","latest_version":1,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-10T07:59:53.463795Z","submitted_at":"2025-02-07T02:24:12Z","title":"Generative Diffusion Model-based Compression of MIMO CSI"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":29},"total_outbound_references":41},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2503.03753."}