{"as_of":"2026-08-09T06:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:59ed7dc7942707b0a28d7ef017fbcf24e4d091c9d85eaa98e3b5654f25e09d42","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-20T21:10:09.974162Z","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":"2026-08-08T06:32:00.761636+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/2605.15647/citation-record","integrity":"/paper/2605.15647/integrity","json":"/paper/2605.15647/citation-record.json","paper":"/paper/2605.15647"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.07597","last_updated":"2021-08-24T19:12:29Z","snapshot_observed_at":"2026-08-03T14:46:30.239773Z","submitted_at":"2021-06-14T17:05:17Z","title":"MLPerf Tiny Benchmark","version":4},"cited_work":{"arxiv_id":"2106.07597","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.07597","snapshot_observed_at":"2026-07-09T02:55:53.494035Z","title":"Mlperf tiny benchmark.arXiv preprint arXiv:2106.07597, 2021a","venue":"cs.LG","work_id":"32e70299-7b54-46e9-a827-b6ef5ed171d1","year":2021},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"cited_paper":"/paper/2106.07597","citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:f1b808a8dfc37d5e7b319f340019d90ff3237ef3df732dadec175020264ed13f","observation_id":"d512dca2-2df3-4f78-99be-17008ae256da","resolution":{"observed_at":"2026-05-20T21:13:44.818066Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"The single dendritic branch as a fundamental functional unit in the nervous system.Current opinion in neurobiology, 20(4):494–502","venue":null,"work_id":"8d8079c5-d4cc-4855-ace6-ad8e3fb9965d","year":2010},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:651505193d1bdeed09d6b55615e0b0f108c8a6cbfda940c40df19bba50ff3ce3","observation_id":"28f18a6d-941d-4108-9d40-677438b7fe02","resolution":{"observed_at":"2026-05-20T21:14:02.195490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Edge impulse keyword spotting: Hyperparameter sweep report","venue":null,"work_id":"9c015950-b4e2-45dc-8e8f-730f1e52106e","year":2025},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:d18eb09df01bd135a0362fbbfe716923f6b2a505a1c0a521aa1bb22c5d84c948","observation_id":"e84ff2b3-599f-4e4d-99cf-7e23dce5ba20","resolution":{"observed_at":"2026-05-20T21:14:02.227273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.00356","last_updated":"2025-05-31T02:52:17Z","snapshot_observed_at":"2026-08-07T12:04:48.500787Z","submitted_at":"2025-05-31T02:52:17Z","title":"Exploring the Performance of Perforated Backpropagation through Further Experiments","version":1},"cited_work":{"arxiv_id":"2506.00356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.00356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Exploring the performance of perforated backpropagation through further experiments","venue":null,"work_id":"39d1b470-e4ad-4fea-9695-002d6f23992c","year":2025},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"cited_paper":"/paper/2506.00356","citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:404ff7ce166e58f4239d9b8dbae6e824203e754e1da2112b5a35cac54856235e","observation_id":"1912731d-abfd-4f14-aa3d-a734665426d0","resolution":{"observed_at":"2026-05-20T21:13:44.821123Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18018","last_updated":"2025-01-29T22:09:45Z","snapshot_observed_at":"2026-07-06T20:28:09.807683Z","submitted_at":"2025-01-29T22:09:45Z","title":"Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks","version":1},"cited_work":{"arxiv_id":"2501.18018","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18018","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Perforated backpropagation: A neuroscience inspired extension to artificial neural networks","venue":null,"work_id":"304924b8-120e-4a97-a74b-84abc6ebca8f","year":2025},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"cited_paper":"/paper/2501.18018","citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:9d2743ca9d2d9403a169e07945cd1b1c4ebbb8dddc7c5dc093390bd4fc82df44","observation_id":"dc932d34-f923-4947-9344-053ef6018461","resolution":{"observed_at":"2026-05-20T21:13:44.823967Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Drawing inspiration from biological dendrites to empower artificial neural networks.Current opinion in neurobiology, 70:1–10","venue":null,"work_id":"bafb49e0-e45b-4582-8e74-0b323376e0a6","year":2021},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:005a61eff3b90e2f51ddc66a5e10f3c4c0f5370486ce28fa6dcd0f44aacf548d","observation_id":"841cf105-1ca6-4892-9b35-5c65aeb64ec1","resolution":{"observed_at":"2026-05-20T21:14:02.224898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Edge impulse: Machine learning for embedded systems","venue":null,"work_id":"c4de79e6-d2da-4bda-8def-6507719dfffe","year":2019},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:c95d34422324b802b77aad14f50b02d64b6ab508e4073f244ce2738467d2a894","observation_id":"68169d74-4d67-4956-83b7-857c3aed84c7","resolution":{"observed_at":"2026-05-20T21:14:02.197689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Edge impulse contest 2025 winners","venue":null,"work_id":"e00307b4-d658-4a54-9bef-aaeba96c531d","year":2025},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:534204de2cbc7dd5492da0f10ea8b59a93b04e7960ccf12903419bda17d53e3d","observation_id":"40262c63-f2a5-4f65-901d-51d0c259cd9b","resolution":{"observed_at":"2026-05-20T21:14:02.183459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"The cascade-correlation learning architecture","venue":null,"work_id":"a9181a05-9cd9-449f-801e-5389e886ee80","year":1989},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:d36100cc70febb6a33577dd388087d3be6dd13f85d46158dd853b4ace47927e1","observation_id":"1a898ec2-8cdb-4e15-8773-fcd2fc3f25cf","resolution":{"observed_at":"2026-05-20T21:14:02.231828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Searching for mobilenetv3","venue":null,"work_id":"5f27503a-ba46-4476-826d-61b4ffe5e27c","year":2019},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:c73b1906f5c5b0507da240ef2287d113b4a8165de408da4c5cc992b223888599","observation_id":"b8171124-6e2f-4bd7-8567-28821c24e262","resolution":{"observed_at":"2026-05-20T21:14:02.222670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04861","last_updated":"2017-04-17T03:57:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-04-17T03:57:34Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","version":1},"cited_work":{"arxiv_id":"1704.04861","doi":"10.48550/arxiv.1704.04861","metadata_source":"pith","pith_arxiv_id":"1704.04861","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","venue":"cs.CV","work_id":"3870239a-c950-4625-bf33-c4f902d14175","year":2017},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"cited_paper":"/paper/1704.04861","citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:a9900e97db50298e2fb86da8b79b75d20fae4c9d3dbbb20aef762d9a6258b9f5","observation_id":"c0f465eb-d87c-4d6a-b87e-a13e2f5cdd86","resolution":{"observed_at":"2026-05-20T21:13:44.815338Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":"3c14f7c3-6e37-4006-a9b7-73fdd2266dd9","year":2019},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:472008b09d6201932dd0bfa70242a2e6a82a71d6e7e537714eecfa6f0abb409a","observation_id":"da440d48-d0ee-40f1-becf-c6fc02745275","resolution":{"observed_at":"2026-05-20T21:14:02.218241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Imagenet classification with deep convolutional neural networks","venue":null,"work_id":"d64935b8-5f77-430d-8d11-410a3a8a0aec","year":2012},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:bb48a8b9196ca8520fc7144e896e79adf9d03246cc0f6584d641ed6a17145a8e","observation_id":"42e0289d-656f-4471-bd33-babbd01d2799","resolution":{"observed_at":"2026-05-20T21:14:02.211678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Trimnet: learning molecular representation from triplet messages for biomedicine.Briefings in Bioinformatics","venue":null,"work_id":"337b71b5-171d-42f7-875c-e615e902e897","year":2021},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:e042224ebee06e69c5af845f61a8413e992b1544e05dff22315263e9232ec17d","observation_id":"05d5463d-6bfc-4101-956d-db0bfb62bf31","resolution":{"observed_at":"2026-05-20T21:14:02.199903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Power-efficient neural network with artificial dendrites.Nature Nanotech- nology, 15(9):776–782","venue":null,"work_id":"cf34bba7-b34d-408e-8876-fd6f5994a512","year":2020},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:bc23963cb04d3bdfa2d798f24df80d687768b25a68c425e0f4ebb2ef8d52e5fe","observation_id":"1fe58edd-d7ef-4bd3-8056-9ed21fb0fcdb","resolution":{"observed_at":"2026-05-20T21:14:02.202635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Spatiotemporally graded nmda spike/plateau potentials in basal dendrites of neocortical pyramidal neurons.Journal of neurophysiology, 99:2584–2601","venue":null,"work_id":"e95648c1-0b82-44ca-9290-1594832868ab","year":2008},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:735f210229f7211ae5559236ebc2787a41f36549f84f702514186e030ba2b08d","observation_id":"91c9f06c-d3b2-49c0-90b8-29054283e2a1","resolution":{"observed_at":"2026-05-20T21:14:02.190405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Active properties of neocortical pyramidal neuron dendrites.Annual review of neuroscience, 36:1–24","venue":null,"work_id":"9429ed6f-8ced-41b3-a391-73921f720546","year":2013},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:3987ce8417005fe9198c8e6c52936bfa8fde8b6a6d795b33992b91bfc3dcbb65","observation_id":"4a3e2fec-8273-4c6e-b17a-ce4ffe867a91","resolution":{"observed_at":"2026-05-20T21:14:02.229569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"A logical calculus of the ideas immanent in nervous activity.The bulletin of mathematical biophysics, 5:115–133","venue":null,"work_id":"47934a71-2071-4880-9200-0455d3cdf49a","year":1943},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:39157c3abe1a5337284321b9ef7024907ad8d81006176417180e1846542ddd33","observation_id":"423b285a-914f-48bf-85d1-4936a1ccd950","resolution":{"observed_at":"2026-05-20T21:14:02.207106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Perforatedai: The artificial dendrite library for pytorch","venue":null,"work_id":"ec93c7b9-d9ec-49ca-ac7b-6ec9a4610dc9","year":2024},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:91feabf46f82bd103e16dd2409fdd627d2bb4a86a7eea6ad373602e5891f329a","observation_id":"c9db65cd-bb32-489e-8b8d-f685d6fd34aa","resolution":{"observed_at":"2026-05-20T21:14:02.185668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Perforatedai: Edge impulse block","venue":null,"work_id":"c94b20ad-2a45-488f-bf3a-605a4eb38f4f","year":2025},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:a675a25aeda6de587d60df100f662012d96050339d80a8dd1c98c8cf41bc2ccb","observation_id":"171dbede-ea4b-4e8f-90aa-c5402cce4c17","resolution":{"observed_at":"2026-05-20T21:14:02.213791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Morphological perceptrons with dendritic structure","venue":null,"work_id":"234f2308-60ab-49bb-a0f1-2ef7d6dbe696","year":2003},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:51009e0d22e7193370f521192b1a0f4552fdcbd213351e409859371a53513448","observation_id":"6c7a9d59-f0aa-49f9-93c3-80b9d1a8fbcd","resolution":{"observed_at":"2026-05-20T21:14:02.216096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"The perceptron: a probabilistic model for information storage and organization in the brain.Psychological review, 65(6):386","venue":null,"work_id":"499e5269-2720-497d-b8c0-ef06dfe5b098","year":1958},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:685dda5dcb137fe182e3b15eafb1498aabd83e67f2db08c7a087173c37d0f92e","observation_id":"d3313e88-21f7-49eb-9e1e-51310744056b","resolution":{"observed_at":"2026-05-20T21:14:02.193163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Learning representations by back-propagating errors.Nature, 323:533–536","venue":null,"work_id":"d938c46a-fef0-4999-9c0f-b6aa1a4a8c99","year":1986},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:539de8e6b0cde2376e6bd849405967c53d728d693dddf2a61534fb8a88820e22","observation_id":"7ac3f654-aef6-4db1-8078-02eb9f6b78f1","resolution":{"observed_at":"2026-05-20T21:14:02.204890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.10318","last_updated":"2021-06-07T17:52:42Z","snapshot_observed_at":"2026-08-06T09:15:43.887639Z","submitted_at":"2021-01-25T18:57:42Z","title":"Multi-Time Attention Networks for Irregularly Sampled Time Series","version":2},"cited_work":{"arxiv_id":"2101.10318","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.10318","snapshot_observed_at":"2026-07-03T04:27:36.213529Z","title":"Multi-time attention networks for irregularly sampled time series","venue":null,"work_id":"9ec0c534-71f2-4736-a43e-29361188377f","year":2021},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"cited_paper":"/paper/2101.10318","citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:ac6947cde7526665665527f81621b08a10924d3db36d899e7bf8d4956a449519","observation_id":"62f1e8b0-6060-4044-9d91-a9c0b688c4fb","resolution":{"observed_at":"2026-05-20T21:13:44.806882Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Efficient training for dendrite morphological neural networks.Neurocomputing, 131:132–142","venue":null,"work_id":"8ea05019-866c-4bc5-bece-2bb7a0c912e0","year":2014},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:44b61fab9b27fc91cb9e439f105ae67b8c47be0c9eb96188ad45aef4c1e0eed9","observation_id":"d193c272-eac6-41da-a3ce-e37e3d74c00d","resolution":{"observed_at":"2026-05-20T21:14:02.187888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c091c514-934f-4b88-8d10-5c33082c7f03","year":2018},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:ffa37cc35cc5dcdedfe6bb3be725c2c85a91bf28f679afa88e67db88c3c55c86","observation_id":"1a44644a-0a72-4739-8874-5706041d689d","resolution":{"observed_at":"2026-05-20T21:14:02.181250Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"Experiment tracking with weights and biases","venue":null,"work_id":"9ec41551-2531-48c6-aeb7-5b3e7b0c1473","year":2020},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:896f04e8b970f34243273a03ea2ab6457308e74a76e2b3bb937ba18385c28cac","observation_id":"b95f98df-cdbb-4e3c-b062-5d40e88c2656","resolution":{"observed_at":"2026-05-20T21:14:02.209249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-06-05T21:23:00.469572Z","title":"30 years of adaptive neural networks: perceptron, madaline, and backpropagation.Proceedings of the IEEE, 78:1415–1442","venue":null,"work_id":"b03bbfab-e348-4b84-9e35-d0da406ab02f","year":1990},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:f236e39467e5e82189b5264434bec199973d7567683a70ea63b7456e821258e5","observation_id":"dee6c826-42e6-4323-b75c-8b38e3d3a1ee","resolution":{"observed_at":"2026-05-20T21:14:02.220416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.13716","last_updated":"2022-01-20T15:50:13Z","snapshot_observed_at":"2026-08-07T21:24:06.060882Z","submitted_at":"2021-10-26T14:04:04Z","title":"HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information","version":2},"cited_work":{"arxiv_id":"2110.13716","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.13716","snapshot_observed_at":"2026-07-04T16:09:56.550698Z","title":"Hist: A graph-based framework for stock trend forecasting via mining concept-oriented shared information","venue":null,"work_id":"9b30eceb-9143-4732-916a-3555ea7673e1","year":2021},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"cited_paper":"/paper/2110.13716","citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:41039ca1a398b35bfb240c1817599d3b814e3700695e442a2625a658223703fe","observation_id":"43fc0b74-e38b-4937-ae49-b6e3662a00f4","resolution":{"observed_at":"2026-05-20T21:13:44.809905Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"1711.07128","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.07128","snapshot_observed_at":"2026-07-01T14:05:46.391577Z","title":"Hello Edge: Keyword Spotting on Microcontrollers","venue":"cs.SD","work_id":"1ea17269-91bf-43a4-af26-7fe2e77c41b8","year":2017},"citing_paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:09.974162Z"},"links":{"cited_paper":"/paper/1711.07128","citing_paper":"/paper/2605.15647"},"observation_digest":"sha256:72e5ea6ab027ed2193647bb855ec738311d94fa0d28c34d4f59e33c5ed0876e3","observation_id":"a1c73a81-4bc1-4e32-8bce-142b4802987a","resolution":{"observed_at":"2026-05-20T21:13:44.812756Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.15647","last_updated":"2026-05-15T06:02:19Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T05:53:57.032302Z","submitted_at":"2026-05-15T06:02:19Z","title":"Perforated Neural Networks for Keyword Spotting"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":7,"verified_fuzzy":22},"total_outbound_references":30},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2605.15647."}