{"as_of":"2026-08-16T11:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de75ac1543b281e25a6d88e274d30e66e372686628d718ec04f2b5e188b2d14c","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:12:32.695839Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/1908.07521/citation-record","integrity":"/paper/1908.07521/integrity","json":"/paper/1908.07521/citation-record.json","paper":"/paper/1908.07521"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:12:33.379148Z","title":"On the problem of the most efficient tests of statistical hypotheses,","venue":null,"work_id":"259e57ef-c1df-4780-a851-5922fcbc0b8f","year":1933},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.471129Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:6ddfb7e43f6ce4404e95d1c3b147a8498a8a677ee16913160ad268a3c0effa80","observation_id":"64f260da-be82-4390-9bec-5470ba847f61","resolution":{"observed_at":"2026-08-14T12:12:33.384143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:33.363666Z","title":"A measure of asymptotic efficiency for tests of a hypothesis based on a sum of observations,","venue":null,"work_id":"57f4ea11-d4b9-4990-9911-cf94b7a4592b","year":1952},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.477017Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:2477857007508484fe7f32e8bdafddaec60592f6f77d43fb8c9f0196445120d0","observation_id":"239cddbf-a0c4-4171-a795-c1bd6992ee4c","resolution":{"observed_at":"2026-08-14T12:12:33.368728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:33.347755Z","title":"Asymptotically optimal tests for multinominal distributions,","venue":null,"work_id":"101de0b0-0edc-48f1-8726-37cfea7586d2","year":1965},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.482140Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:7d31ed1826dfce0e848fda3d355682efdf253cf81b229789b657f5d4d816324e","observation_id":"2ec550f5-1024-44c1-a0a5-26ef0131db25","resolution":{"observed_at":"2026-08-14T12:12:33.353135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:33.332090Z","title":"Hypothesis testing and information theory,","venue":null,"work_id":"b377b663-1e05-4ca7-b8f4-cf021787e4f2","year":1974},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.487566Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:585474c9e80ad530ee3b6a29d87fc72dfa2dccfb9236daceb21bba7a2a1fadd4","observation_id":"6f186eef-4f4f-48d4-bc45-63c8979280ff","resolution":{"observed_at":"2026-08-14T12:12:33.337233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:33.314857Z","title":"On error exponents in hypothesis testing,","venue":null,"work_id":"e73b144b-f2f7-4ef1-a9b8-1af5379af36b","year":2005},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.493133Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:8b9cbe6dd9c481adb672d7bfeecc83bf786b66dde4ceb96a36e264e2a82aec6d","observation_id":"d97c72b2-a8b0-4e3f-af74-41b0b82d58f7","resolution":{"observed_at":"2026-08-14T12:12:33.320535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.498112Z","title":"Hypothesis testing with communication constraints,","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.498112Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:07f7da5e95efd458009a6b083cac7c68853a7d33d8c3012db9d0ddb875e74164","observation_id":"bdb38f5f-ef0b-48b8-bc52-6eb388745c7b","resolution":{"observed_at":"2026-08-14T12:12:32.498112Z","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":"2026-08-14T12:12:32.503639Z","title":"Hypothesis testing with multiterminal data compression,","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.503639Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:c43bdfb6cbe90a01afe2cad6ab47cba23dd2d6867d024c88aa1abda558779441","observation_id":"a2e71ec6-dcbb-425d-ad1e-bc09efa1c2c0","resolution":{"observed_at":"2026-08-14T12:12:32.503639Z","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":"2026-08-14T12:12:33.277294Z","title":"Error bound of hypothesis testing with data compression,","venue":null,"work_id":"0f0273fb-a31e-492f-acb1-1f5bc3b368ff","year":1994},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.508426Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:3e151487afc90751f45eb102327a2b470474de6834cbafd6e815773e12e40340","observation_id":"a6332258-ef77-4e3c-916e-191c726fa9ea","resolution":{"observed_at":"2026-08-14T12:12:33.282475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.513118Z","title":"On the optimality of binning for distributed hypothesis testing,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.513118Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:5791feb6fce3f808bc611cd2fe2e0f912950ab4c4136f47f103d625884eb42da","observation_id":"bbfe12ca-4561-4aba-bc13-b1124841e988","resolution":{"observed_at":"2026-08-14T12:12:32.513118Z","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":"2026-08-14T12:12:33.250334Z","title":"Distributed hypothesis testing over discrete memoryless channels,","venue":null,"work_id":"ddb1c292-df31-49be-8387-955ec1a69d6f","year":2020},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.518753Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:4c0b71e14b2872fa3bd105a5a145ac7b9f914ab1cbd02d49d3454752d106a8ce","observation_id":"3576c115-9a68-4609-bcad-69ede0de2945","resolution":{"observed_at":"2026-08-14T12:12:33.256005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:33.232532Z","title":"Decentralized estimation and decision theory,","venue":null,"work_id":"05ae7bba-e18a-4f53-9c17-8159254efd21","year":1979},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.524054Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:c7de23f8cd1aadf7c527742cdf6f549e3ae93b58e18ea1277e1ec006433f7664","observation_id":"989a7208-a7ca-436b-a963-0990d061a7a0","resolution":{"observed_at":"2026-08-14T12:12:33.238198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.529341Z","title":"Multiterminal detection with zero-rate data compression,","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.529341Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:3893e9f3bceb40fa6672775319efc86325b8e0007a08867b2ee0e09bae67964c","observation_id":"8de63481-00e1-4e75-ba2c-60a3e985b56e","resolution":{"observed_at":"2026-08-14T12:12:32.529341Z","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":"2026-08-14T12:12:32.534324Z","title":"Exponential-type error probabilities for multiterminal hypothesis testing,","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.534324Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:1940f0325d53153b122f54f52c90c0100aed33d4ba4610014e3280c8c52fd605","observation_id":"b184edc0-d963-4f3f-99c7-e8058daa6eda","resolution":{"observed_at":"2026-08-14T12:12:32.534324Z","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":"2026-08-14T12:12:33.196455Z","title":"Successive refinement for hypothesis testing and lossless one-helper problem,","venue":null,"work_id":"3fc8ef73-8365-4aaf-958b-e62a620d7ab0","year":2008},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.539492Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:100c35b572f9af5e8e10448dd7bb3b92269e83f6d98f4865e1f6fcfc7aec03a4","observation_id":"392781c5-e20a-460d-bd8f-d15d47c96c28","resolution":{"observed_at":"2026-08-14T12:12:33.201508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:33.180045Z","title":"Distributed testing against independence with multiple terminals,","venue":null,"work_id":"7ecfad64-0cfa-4b33-82e5-a9008c2f401a","year":2014},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.544261Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:4041b3cb4008732f9e4d201ccc531353c48d653f8d1e5211e240ad197a46661b","observation_id":"1f5a512a-66a8-4fc9-a257-1e2a657ffa6c","resolution":{"observed_at":"2026-08-14T12:12:33.185246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:33.162991Z","title":"Testing against independence with multiple decision centers,","venue":null,"work_id":"33b4d1f3-925d-498b-80ea-3861b6c82617","year":2016},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.549843Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:8710aea7f9a9a5d2ef37b25bc7855e6478c2f5d722499850d920329fb612ca52","observation_id":"9fb3b525-7042-4255-ba0b-9830b97d5f17","resolution":{"observed_at":"2026-08-14T12:12:33.168262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.554450Z","title":"Hypothesis testing in multi-hop networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.554450Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:1bb2a6e3fa72b47b983771eea58d0dbc9171e1dc765866d974c5870cdbc309d4","observation_id":"45bf063a-40a1-4cda-bf2e-13f46fc97a1c","resolution":{"observed_at":"2026-08-14T12:12:32.554450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.03028","last_updated":"2019-04-04T09:03:21Z","snapshot_observed_at":"2026-08-14T16:51:53.023255Z","submitted_at":"2019-04-04T09:03:21Z","title":"Optimal Rate-Exponent Region for a Class of Hypothesis Testing Against Conditional Independence Problems","version":1},"cited_work":{"arxiv_id":"1904.03028","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.03028","snapshot_observed_at":"2026-08-14T12:12:32.816633Z","title":"Optimal Rate-Exponent Region for a Class of Hypothesis Testing Against Conditional Independence Problems","venue":"cs.IT","work_id":"2fbd0634-aaf4-4b3b-8167-d3a5d82a1b84","year":2019},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.559966Z"},"links":{"cited_paper":"/paper/1904.03028","citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:3f9719febf2471665677dab599930d149155cb6430700c769babf779e7db580b","observation_id":"83e79097-c19e-4d55-88dd-3718c8d73443","resolution":{"observed_at":"2026-08-14T12:12:32.822776Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:33.135574Z","title":"On secure distributed hypothesis testing,","venue":null,"work_id":"f83fc065-9342-448c-8105-18037a462980","year":2015},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.565744Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:7e46aa7da140eb854761a4a11144e5ccea27718317c89aa6a45931486b9d6925","observation_id":"9a2e7422-c636-4038-9a2e-b9b2673f41c9","resolution":{"observed_at":"2026-08-14T12:12:33.140928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:33.119775Z","title":"Testing against conditional independence under security constraints,","venue":null,"work_id":"cab310e2-1fa2-4466-b258-d3a3d9463679","year":2018},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.570817Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:2fdef5c04467f0dcac90a5abdced6d69d35476a83e0f0a70bd2a020e1713e740","observation_id":"f1cbaed4-2805-4fc3-83d4-63b7c9eba357","resolution":{"observed_at":"2026-08-14T12:12:33.124787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.02764","last_updated":"2020-04-29T07:08:50Z","snapshot_observed_at":"2026-08-16T10:02:09.634900Z","submitted_at":"2018-07-08T06:36:07Z","title":"Privacy-aware Distributed Hypothesis Testing","version":6},"cited_work":{"arxiv_id":"1807.02764","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.02764","snapshot_observed_at":"2026-08-14T12:12:32.793323Z","title":"Privacy-aware Distributed Hypothesis Testing","venue":"cs.IT","work_id":"23c7ed19-8212-4f56-b2fc-2c8460b8ee65","year":2018},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.575394Z"},"links":{"cited_paper":"/paper/1807.02764","citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:462271dbd8b99dbe44229f53857c3ac2fa4a07038d16d49ff35f431f8c8ba953","observation_id":"6592deb1-3075-4f50-9e5b-6f1ac2be524f","resolution":{"observed_at":"2026-08-14T12:12:32.798706Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.580796Z","title":"Distributed hypothesis testing with privacy constraints,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.580796Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:a6db2f33fa1fe0c7d1f7b7dd68b68f71b08669521a9ca6cfa0c8afd52bafbc2d","observation_id":"da0019fd-4cca-40af-b4c8-375e38e3d435","resolution":{"observed_at":"2026-08-14T12:12:32.580796Z","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":"2026-08-14T12:12:32.585859Z","title":"Distributed binary detection with lossy data compression,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.585859Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:d686c6c0c50b97842858648c43ff45458dd4a0a9cd4cd3a1e3ca7fc34da41314","observation_id":"8abeb34c-efc8-443b-b321-d0156a301913","resolution":{"observed_at":"2026-08-14T12:12:32.585859Z","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":"2026-08-14T12:12:33.082544Z","title":"Interactive hypothesis testing with communication constraints,","venue":null,"work_id":"ed6c688e-155e-41e5-b072-07ccec2a2ba6","year":2012},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.591618Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:d629817c374aabbb2a3dad3cf5a70fb8f5dab6a2ab4a51740768b067ce507465","observation_id":"c1f4309d-05f8-4627-a160-210d4f7d0aa5","resolution":{"observed_at":"2026-08-14T12:12:33.088502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:33.067262Z","title":"Interactive hypothesis testing against independence,","venue":null,"work_id":"d49d9f0f-36f3-441b-8486-b3ec99d97212","year":2013},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.596802Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:fcf1c66d2f4eb9dbff131efa57069c156ef004dc6c495944535c69f8f6660ab9","observation_id":"47a9200a-867b-4f33-a84f-72458861c20d","resolution":{"observed_at":"2026-08-14T12:12:33.072189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1604.01292","last_updated":"2016-04-08T13:35:56Z","snapshot_observed_at":"2026-08-15T09:58:55.374638Z","submitted_at":"2016-04-05T15:13:38Z","title":"Collaborative Distributed Hypothesis Testing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1604.01292","snapshot_observed_at":"2026-08-14T12:12:32.601673Z","title":"Collaborative distributed hypothesis testing,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.601673Z"},"links":{"cited_paper":"/paper/1604.01292","citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:48cb92223ea88d82706c41d260bf1ea9fd46045da922f25a74b42f8546f5920e","observation_id":"9b953c16-81cb-413c-b335-0c276e12bf4b","resolution":{"observed_at":"2026-08-14T12:12:32.601673Z","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":"2026-08-14T12:12:33.050527Z","title":"Error exponents in distributed hypothesis testing of correlations,","venue":null,"work_id":"6da77bc0-ec81-4111-8570-5e852baeff4a","year":2019},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.606859Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:ac77d748a4d248b08defb7cf14c3e611534a7698ccc8b7076c7d973f5a015f66","observation_id":"1265e8c5-c8aa-4b02-b6e1-ec13f7ac3be2","resolution":{"observed_at":"2026-08-14T12:12:33.055612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.00310","last_updated":"2017-12-31T16:29:01Z","snapshot_observed_at":"2026-08-14T19:58:55.448206Z","submitted_at":"2017-12-31T16:29:01Z","title":"On Binary Distributed Hypothesis Testing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.00310","snapshot_observed_at":"2026-08-14T12:12:32.611615Z","title":"On binary distributed hypothesis testing,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.611615Z"},"links":{"cited_paper":"/paper/1801.00310","citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:94d6be9126e6c416640e8f8f79d67ee951750dc71e8c85d31320bdff65643dca","observation_id":"d41db404-1bc2-46f6-8952-c41e45f902ea","resolution":{"observed_at":"2026-08-14T12:12:32.611615Z","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":"2026-08-14T12:12:32.616948Z","title":"On the reliability function of distributed hypothesis testing under optimal detection,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.616948Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:8b48c4bf02521ba7a5b1209171537377e8c3f53db59efbac7777e991fba7fedf","observation_id":"f2ea21b1-b219-4e75-8144-fbfb85ec24ea","resolution":{"observed_at":"2026-08-14T12:12:32.616948Z","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":"2026-08-14T12:12:32.621889Z","title":"Neyman-Pearson test for zero-rate multiterminal hypothesis testing,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.621889Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:3961835a2f0c7de9f9016973d499c10017217d745d42507563606bbf8f2d67e1","observation_id":"d2a2930a-7cf6-4954-b8c8-43b000214308","resolution":{"observed_at":"2026-08-14T12:12:32.621889Z","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":"2026-08-14T12:12:32.626777Z","title":"Csisz ´ar and J","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.626777Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:156c667e33d5372ae43c9b2d8c58db31f39321d67ee42f5ebc2ea8cfe19f6970","observation_id":"5f5093f9-89cc-4bdc-8e94-7c9053142f48","resolution":{"observed_at":"2026-08-14T12:12:32.626777Z","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":"2026-08-14T12:12:32.632451Z","title":"Distributed hypothesis testing over noisy channels,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.632451Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:7194c08ea380604093ec71ced15a80d662c54248207f36d0576223e5630cd9d8","observation_id":"710b706b-cee7-4851-856a-c415d05d77a8","resolution":{"observed_at":"2026-08-14T12:12:32.632451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.05533","last_updated":"2018-06-14T13:37:06Z","snapshot_observed_at":"2026-08-14T19:03:41.568713Z","submitted_at":"2018-06-14T13:37:06Z","title":"Distributed Hypothesis Testing based on Unequal-Error Protection Codes","version":1},"cited_work":{"arxiv_id":"1806.05533","doi":null,"metadata_source":"pith","pith_arxiv_id":"1806.05533","snapshot_observed_at":"2026-08-14T12:12:32.734908Z","title":"Distributed Hypothesis Testing based on Unequal-Error Protection Codes","venue":"cs.IT","work_id":"a1257139-1d51-4826-9c5b-c6fd69a59657","year":2018},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.637162Z"},"links":{"cited_paper":"/paper/1806.05533","citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:69fee85e5871074881f494a878602a302a8ec50823518b8050bd8e7aab1cd63b","observation_id":"5c60a299-115b-447c-a01b-22c1337577ac","resolution":{"observed_at":"2026-08-14T12:12:32.742744Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.991875Z","title":"A unified approach to hybrid coding,","venue":null,"work_id":"8fd974ed-f166-4cd0-b17d-99980bdd4eea","year":2015},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.642946Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:083c94fc7697313733002d13d640b167e1e52fe549a45a49d566873d53bc3fa6","observation_id":"373b4d02-dc28-466d-9387-f0bc2268667d","resolution":{"observed_at":"2026-08-14T12:12:32.997983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.975974Z","title":"Unequal error protection: An information-theoretic perspective,","venue":null,"work_id":"c2d66718-292c-4bea-b539-c384c760f451","year":2009},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.648576Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:d3cefa213ebe8af14ea5e2503d92a1abb3314516e488d3c44768c3781ea0f3b1","observation_id":"bacc91f0-5d8d-41b6-b8db-cc553d0da49d","resolution":{"observed_at":"2026-08-14T12:12:32.981359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.960038Z","title":"Exponent trade-off for hypothesis testing over noisy channels,","venue":null,"work_id":"28a13b38-bb77-40d7-b34e-e1185b5f4dc6","year":2019},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.653831Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:40db5abf42631e828aeceef753f2c2aa4d5a4fded1338ff587ac602632964d3c","observation_id":"53e0672c-d0a6-4a51-bbfd-a573f4fb9d50","resolution":{"observed_at":"2026-08-14T12:12:32.965248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.941635Z","title":"On the error exponent of source-channel transmission with a distortion threshold,","venue":null,"work_id":"9021dc57-f275-41c8-87a5-463fbaaa47ad","year":1982},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.658796Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:020027e514a8570adc414818800f73bd849cee1a0389be20f9e5601c951f4c3c","observation_id":"45bdb3bd-4f76-4b55-a94e-a88066af06c7","resolution":{"observed_at":"2026-08-14T12:12:32.947392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.925197Z","title":"Polyanskiy and Y","venue":null,"work_id":"7d9e1437-13c0-46f3-9a2f-f8736440a736","year":2017},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.663462Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:ed87115285c226564744fbbb8045db727f25b7b76101828ecdad38f5c6417837","observation_id":"773533f6-40be-4172-baeb-ff2d65495953","resolution":{"observed_at":"2026-08-14T12:12:32.930253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.668249Z","title":"Hypothesis testing over a noisy channel,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.668249Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:c94e8714cea0543560b5b2b2c082be441461aaa7e43d9bf1fcdb3945d8b8d319","observation_id":"b0ce0232-bccd-4e23-9f01-63e9c16bde30","resolution":{"observed_at":"2026-08-14T12:12:32.668249Z","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":"2026-08-14T12:12:32.673916Z","title":"A simple derivation of the coding theorem and some applications,","venue":null,"work_id":null,"year":1965},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.673916Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:a76b1238f445dd9b610ff09e0e25849d4e2286041834759db8855f5fae08b4c7","observation_id":"62679be2-e060-4a40-b3b9-d131311d5b02","resolution":{"observed_at":"2026-08-14T12:12:32.673916Z","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":"2026-08-14T12:12:32.886025Z","title":"On joint source-channel coding for the Wyner-Ziv source and the Gelfand-Pinsker channel,","venue":null,"work_id":"0e348125-2cea-4bd8-a1da-362cd46a88ef","year":2003},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.679808Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:9e0e23a309786516951fcc60f32b8f0a1a5c807dab6dd579b5a60060e97cfa93","observation_id":"c493fc94-ea89-4f71-b4ad-f62fbe3cbf91","resolution":{"observed_at":"2026-08-14T12:12:32.892637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.869617Z","title":"Multiple access channels with arbitrarily correlated sources,","venue":null,"work_id":"d7e6673b-4e71-4df1-94f4-10512fec899b","year":1980},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.685711Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:4957e0a1a0ad59340af4d94f35cdb9d6d71469f9df3bcb0aa12503095a668fd5","observation_id":"e0f0342e-39f4-4afb-a650-642cbd81320b","resolution":{"observed_at":"2026-08-14T12:12:32.874947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.852369Z","title":"Joint source-channel error exponent,","venue":null,"work_id":"1e28d356-6a96-42e6-819c-5cd22442e684","year":1980},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.690811Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:3127d4b66fad19e8f025b301ddc3b7dffc31f82e94526c46251a1867ae37783e","observation_id":"be0fa6b7-40fe-484d-9866-58f025e77a02","resolution":{"observed_at":"2026-08-14T12:12:32.858142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:12:32.835292Z","title":null,"venue":null,"work_id":"94a8864d-6f53-4dd9-b1fa-9a325272ca8d","year":1958},"citing_paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off","version":5},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:32.695839Z"},"links":{"citing_paper":"/paper/1908.07521"},"observation_digest":"sha256:823df884f869813cb22b3bb2bcd2c67a582aaae05f12d948f54ccde64799150a","observation_id":"2fb90a4e-7621-4f41-8b87-fda16df08db1","resolution":{"observed_at":"2026-08-14T12:12:32.840821Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.07521","last_updated":"2023-02-06T09:25:05Z","latest_version":5,"primary_category":"stat.OT","snapshot_observed_at":"2026-08-14T11:50:38.551140Z","submitted_at":"2019-08-21T16:21:09Z","title":"Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":3,"verified_fuzzy":24},"total_outbound_references":44},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:1908.07521."}