{"as_of":"2026-08-07T17:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ba1830ab545523b0ecb84f17d2304961124831a8e20810d1e731f8a32f6bdc45","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:34:24.222200Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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":"2026-08-06T15:34:24.138593Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T15:34:24.314577Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"cited_work":{"arxiv_id":"2507.15545","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.15545","snapshot_observed_at":"2026-08-06T15:34:24.314577Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","venue":"cs.LG","work_id":"fa8b1eff-22d8-4b04-afff-49aded1ee699","year":2025},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.138593Z"},"links":{"cited_paper":"/paper/2507.15545","citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:cbea2cdba1ddae1a7694b3a8ae5bb47d0082f3c673f4cacb09ebc899f3ac3762","observation_id":"8ec9f9db-2f20-4ed3-8b29-af11a7a6ffe1","resolution":{"observed_at":"2026-08-06T15:34:24.318510Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.15545/citation-record","integrity":"/paper/2507.15545/integrity","json":"/paper/2507.15545/citation-record.json","paper":"/paper/2507.15545"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:34:24.526530Z","title":"Data Aware NAS","venue":null,"work_id":"97894517-20da-4a1b-8227-1c759b9a50b5","year":null},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.135334Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:4b7c924061399f2158c8734265df781fa7746ab77221a880428f1639b1df873b","observation_id":"a7083ab8-166d-4e09-980a-9a913bbfb52d","resolution":{"observed_at":"2026-08-06T15:34:24.529339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"cited_work":{"arxiv_id":"2507.15545","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.15545","snapshot_observed_at":"2026-08-06T15:34:24.314577Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","venue":"cs.LG","work_id":"fa8b1eff-22d8-4b04-afff-49aded1ee699","year":2025},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.138593Z"},"links":{"cited_paper":"/paper/2507.15545","citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:cbea2cdba1ddae1a7694b3a8ae5bb47d0082f3c673f4cacb09ebc899f3ac3762","observation_id":"8ec9f9db-2f20-4ed3-8b29-af11a7a6ffe1","resolution":{"observed_at":"2026-08-06T15:34:24.318510Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.517379Z","title":"Data Aware Dif- ferentiable NAS","venue":null,"work_id":"c17530c0-eab2-44bb-9e5e-60dd76a8aa80","year":null},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.141904Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:77aa2d4fcb98927f0c6bbbd67955bbf137bdcf604d2de064bad3653adb7317a2","observation_id":"e8e2dc0a-4c8e-4e01-a974-d3baa38e6775","resolution":{"observed_at":"2026-08-06T15:34:24.520006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.508916Z","title":"Marvin” and “Sheila","venue":null,"work_id":"8907bee9-c8b8-4ec2-b966-d4cad7bfc38d","year":null},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.144748Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:c4ac7c65b4e520ab6d0bb2fa9642647900da772c59aa1a59ec1589eb6314537e","observation_id":"365f8367-b9c4-458b-aebb-0fe9ab98b28f","resolution":{"observed_at":"2026-08-06T15:34:24.511794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.499756Z","title":"We extended the founda- tional PC-DARTS framework to enable the co-optimization of data configurations alongside neural architectures","venue":null,"work_id":"645e1dc3-2e57-4cc3-ad63-aac3c55b205c","year":null},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.147626Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:f94b2588999781a61c5a4396512717039b646b7feac9f70620e413f7f18ab269","observation_id":"053c2e1f-b986-4b4e-8a07-bdf5a42d2755","resolution":{"observed_at":"2026-08-06T15:34:24.502770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-06T15:34:24.150520Z","title":"Gemini: a family of highly capable multimodal models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.150520Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:d502b589b1a6d8e2ba4a6e839ff7ca0cc66808bbe40c4b51ca0536ba19b65556","observation_id":"d9921514-6c76-4ff2-a5a7-2f81b405e7c5","resolution":{"observed_at":"2026-08-06T15:34:24.150520Z","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":"2026-08-06T15:34:24.491003Z","title":"DARTS: Differentiable architecture search,","venue":null,"work_id":"3037077c-a5aa-4ca7-b13e-6a575ca4c855","year":2019},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.154030Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:5cd279e7bdcfe3b3b1b52d07e693455cc5658c609458d5f9fce5f6fa716f71b1","observation_id":"8390e21d-d9d6-45d8-ab91-d7d8e0e845d9","resolution":{"observed_at":"2026-08-06T15:34:24.494095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.481297Z","title":"A primer for tinyml predictive maintenance: Input and model optimisation,","venue":null,"work_id":"cf12bb12-8344-45e3-8117-0c50def4c098","year":2022},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.157637Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:dd7b18f8c5a6c11a9bcbf0061f05e356b73c11b4b1e7698e35b049fd53cebb9b","observation_id":"be572c7c-af8b-45d6-b2cf-6f80da448254","resolution":{"observed_at":"2026-08-06T15:34:24.484762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.472282Z","title":"Automl: A survey of the state-of-the-art,","venue":null,"work_id":"999d9220-f519-498e-ae2c-44a4ae605761","year":2021},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.160278Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:2b0f7f3173232a31ee7f24b87a0769a7a2b1b1a0d0e1f6879e703cca9fbd864f","observation_id":"68f7d95c-faf1-4318-abb7-ec4b52b5d50c","resolution":{"observed_at":"2026-08-06T15:34:24.475362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.462855Z","title":"On hyperparameter optimization of machine learning algorithms: Theory and practice,","venue":null,"work_id":"3630f863-c13f-4ebb-9333-eb5d22b40e50","year":2020},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.163155Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:86ce32e0fddba16ddba848b3108482379259aa2f9d4c909157761bb1d96b8dff","observation_id":"31d6669f-22a2-404e-8e3d-4832680b3cfd","resolution":{"observed_at":"2026-08-06T15:34:24.466402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.454196Z","title":"Learning feature engineering for classification.,","venue":null,"work_id":"70ebaf4b-f1cb-4143-9142-5f4799912891","year":2017},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.166775Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:7bc963976c3c15ea69c7cdc62f77f19bc6d35af10be15d282edb274ad9750fcc","observation_id":"fcf89838-ad17-47d9-bc1d-59df7f2340b4","resolution":{"observed_at":"2026-08-06T15:34:24.456745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.446291Z","title":"Neural architecture search with reinforcement learning,","venue":null,"work_id":"ce985de4-b183-4109-a004-d5292c791c6f","year":2017},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.169717Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:ff92752b938cf92901684a74628fff5f156f170fd96baa060a4c3b987bc6bbf9","observation_id":"ff2f8c7d-aa6b-4db4-b97f-681758fe6e5e","resolution":{"observed_at":"2026-08-06T15:34:24.449003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.435713Z","title":"Large-scale evolution of image classifiers,","venue":null,"work_id":"1d9040f3-2428-42b2-a49b-101fe510ee65","year":2017},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.172360Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:31232d2a847c71af20b7e8f57ac364e9a70737cc30480905ce81c03656dc19a1","observation_id":"07e3a4fc-a37b-4dc8-b782-8d46e05f56f9","resolution":{"observed_at":"2026-08-06T15:34:24.439243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.427411Z","title":"SMASH: One-shot model architecture search through hypernetworks,","venue":null,"work_id":"7a18856b-94eb-487f-bf1b-1c8374c131bc","year":2018},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.175693Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:97fd2669983ee4c1f02e7710ff9f507ccb78a5a2cb802680cb08f3bca434dcb0","observation_id":"7ceb854e-014f-454a-acd5-ac74dead186b","resolution":{"observed_at":"2026-08-06T15:34:24.430007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.416895Z","title":"Mcunet: Tiny deep learning on iot de- vices,","venue":null,"work_id":"b7115543-f3bc-4292-ab8b-3e0536bae386","year":2020},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.178844Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:9d05e10f0726def873ada10561b65e208000fa3c176215ecf3bd2b9f7411d77a","observation_id":"385b3e93-de83-4a27-89e7-553205d483ed","resolution":{"observed_at":"2026-08-06T15:34:24.419747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.406264Z","title":"Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers,","venue":null,"work_id":"1770d68c-90f5-44c6-a9ef-73947235dd14","year":2021},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.181257Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:4fa7b821f0e7c279c5729de667ba6609d5d798e68abfe102ed13b1f10b733a9f","observation_id":"ccb01186-4a2b-4c48-9120-617daab07b4a","resolution":{"observed_at":"2026-08-06T15:34:24.408874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.396960Z","title":"Colabnas: Obtaining lightweight task- specific convolutional neural networks following oc- cam’s razor,","venue":null,"work_id":"61fade7c-ea3f-49ac-a95a-629000a85f69","year":2024},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.184908Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:014f091d61441aadd99df122e25db47004dac2c682617be4c6b33a1f91bb57ac","observation_id":"9b1a55d8-c3f9-4b0e-91b0-8628f3d9ec6f","resolution":{"observed_at":"2026-08-06T15:34:24.400233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.09336","last_updated":"2021-01-22T21:13:46Z","snapshot_observed_at":"2026-08-07T00:40:56.156835Z","submitted_at":"2021-01-22T21:13:46Z","title":"A Comprehensive Survey on Hardware-Aware Neural Architecture Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.09336","snapshot_observed_at":"2026-08-06T15:34:24.188171Z","title":"A comprehensive survey on hardware- aware neural architecture search,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.188171Z"},"links":{"cited_paper":"/paper/2101.09336","citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:c7ec4d4c2d1965caabc57c63a24c9a0706f8c72e743783a964fd7ad2ffe3f657","observation_id":"e70bf87d-a374-4ce3-9d06-7d1379323085","resolution":{"observed_at":"2026-08-06T15:34:24.188171Z","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":"2026-08-06T15:34:24.387395Z","title":"Data aware neural architecture search,","venue":null,"work_id":"816d015d-6158-4613-bcda-75efb68893b6","year":2023},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.191257Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:37122e06a344c802b1e1dd3c716874e59173a2c474b7cfe78c51bef49c188ddb","observation_id":"717b410e-8324-4172-829e-1887467275bc","resolution":{"observed_at":"2026-08-06T15:34:24.390641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12690","last_updated":"2025-02-18T09:51:03Z","snapshot_observed_at":"2026-07-06T20:38:29.607020Z","submitted_at":"2025-02-18T09:51:03Z","title":"Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation","version":1},"cited_work":{"arxiv_id":"2502.12690","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.12690","snapshot_observed_at":"2026-08-06T15:34:24.281742Z","title":"Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation","venue":"cs.NE","work_id":"c04c9085-32d5-4031-ba42-7489893d19e5","year":2025},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.194321Z"},"links":{"cited_paper":"/paper/2502.12690","citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:7fafa7f419473a3f6ddfe0a1e7566f0bc9cb5fc0263e5a486674093a646f2e87","observation_id":"728e5fa7-de44-47cc-a41a-a0e5314f1915","resolution":{"observed_at":"2026-08-06T15:34:24.285318Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.376358Z","title":"Pc-darts: Partial channel connections for memory-efficient archi- tecture search,","venue":null,"work_id":"72c93bdb-03e4-447c-97df-faeb23a1ce2b","year":2020},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.197448Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:43565cc6d32435f94b128c72f9814bf5b451ccd476d45023cce2cf12bf09aea2","observation_id":"601756ec-b277-4e9f-815a-b3e396ef5f30","resolution":{"observed_at":"2026-08-06T15:34:24.379146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.366484Z","title":"MLPerf Tiny Bench- mark,","venue":null,"work_id":"bf7a938c-2cab-4460-adb8-f5d7b433f42b","year":2021},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.200073Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:44a0331f78c75389e1df34093945c354e51d16eb5767de3f906c338470c0f45e","observation_id":"754d7c67-93cd-42e3-9c28-7bb3be0d9f51","resolution":{"observed_at":"2026-08-06T15:34:24.369439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.03209","last_updated":"2018-04-09T19:58:17Z","snapshot_observed_at":"2026-07-06T06:32:32.083176Z","submitted_at":"2018-04-09T19:58:17Z","title":"Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.03209","snapshot_observed_at":"2026-08-06T15:34:24.203278Z","title":"Speech commands: A dataset for limited-vocabulary speech recognition,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.203278Z"},"links":{"cited_paper":"/paper/1804.03209","citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:c675fb5fc428525dfb4628577328f412bd3c332133a6aa0b05603a5ea1d6a735","observation_id":"67e4c31e-883c-40c3-bd53-ee5f6735dfef","resolution":{"observed_at":"2026-08-06T15:34:24.203278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.07128","last_updated":"2018-02-14T19:24:55Z","snapshot_observed_at":"2026-07-06T06:10:16.792443Z","submitted_at":"2017-11-20T03:19:03Z","title":"Hello Edge: Keyword Spotting on Microcontrollers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.07128","snapshot_observed_at":"2026-08-06T15:34:24.207014Z","title":"Hello edge: Keyword spotting on mi- crocontrollers,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.207014Z"},"links":{"cited_paper":"/paper/1711.07128","citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:9e00a87e7ca6a6f5fa1e7822aad7eb7f0761d06e04ac41624f9346ffedd41ffc","observation_id":"cf7f2912-745c-4f45-8be6-a1d69e061b48","resolution":{"observed_at":"2026-08-06T15:34:24.207014Z","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":"2026-08-06T15:34:24.356647Z","title":"Searching for mobilenetv3,","venue":null,"work_id":"17f58e90-eead-4ca8-b7e3-42a7da2893f3","year":2019},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.209830Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:14507e4510dc8815ef54f4f38e88a810b8f7a9709b1b6c9051cc3f531d516887","observation_id":"8d36ed16-52b3-4a84-8803-6f1050c65f00","resolution":{"observed_at":"2026-08-06T15:34:24.359366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.347483Z","title":"Mobilenetv2: In- verted residuals and linear bottlenecks,","venue":null,"work_id":"dd140074-fcdd-46ab-927c-6a77ca15e64e","year":2018},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.212751Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:33d78ec9b7fb10f66d53ff98d48599ecf0b8bec8bef0caa147ab5d2711723cfa","observation_id":"7f7b0a18-5b8b-4bd5-97ee-cac5be2b0a09","resolution":{"observed_at":"2026-08-06T15:34:24.350785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.338029Z","title":"Ghostnet: More features from cheap operations,","venue":null,"work_id":"de155543-5422-45c8-9c0a-fa6d16b91153","year":2020},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.216201Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:9fe296887842ea6d082175e1922864c27a9842351b03cfd2fb76c2a011e90e9e","observation_id":"bfafacfb-d590-4a44-a2e4-c5759de4a667","resolution":{"observed_at":"2026-08-06T15:34:24.340902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T15:34:24.326308Z","title":"Efficientnet: Rethinking model scaling for convolutional neural networks,","venue":null,"work_id":"b6e2ab97-d632-42b5-9c65-df42be84eb45","year":2019},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.219528Z"},"links":{"citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:6d1a0ea17b062ffa84d3074b34d2e8e6c9dcf94c465a36124038c44054115644","observation_id":"5e04cd3d-c85f-4aac-922c-3831fa1159ac","resolution":{"observed_at":"2026-08-06T15:34:24.329126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.04140","last_updated":"2023-07-05T15:18:54Z","snapshot_observed_at":"2026-07-06T11:16:59.462429Z","submitted_at":"2021-06-08T06:55:39Z","title":"Broadcasted Residual Learning for Efficient Keyword Spotting","version":4},"cited_work":{"arxiv_id":"2106.04140","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.04140","snapshot_observed_at":"2026-08-06T15:34:24.245787Z","title":"Broadcasted Residual Learning for Efficient Keyword Spotting","venue":"cs.SD","work_id":"5bae05ab-d9b6-43ca-a79d-ea6ef6651749","year":2021},"citing_paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:34:24.222200Z"},"links":{"cited_paper":"/paper/2106.04140","citing_paper":"/paper/2507.15545"},"observation_digest":"sha256:3882b07e81b0eb035ddb955148a49ac4b07135b6ca6a36fb4416ba9dd08f36c8","observation_id":"77efb6b7-6bd6-407d-836b-95b40802c1ee","resolution":{"observed_at":"2026-08-06T15:34:24.250441Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.15545","last_updated":"2025-07-21T12:18:38Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T03:43:43.606368Z","submitted_at":"2025-07-21T12:18:38Z","title":"Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":3,"verified_fuzzy":22},"total_outbound_references":29},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2507.15545."}