{"as_of":"2026-08-09T20:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e7bfd676ca0804b08cb05c245e316b1610d4e09b3d75bddab6193951665c3182","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T14:12:45.532677Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2502.06989/citation-record","integrity":"/paper/2502.06989/integrity","json":"/paper/2502.06989/citation-record.json","paper":"/paper/2502.06989"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.882573Z","title":"Neuromorphic silicon neuron circuits,","venue":null,"work_id":"de6ed376-27ad-4974-befd-9a181aa9c060","year":2011},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.433711Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:003a672baa53340379657fc71d86a894fc7d51353f808d304911f58929fcc677","observation_id":"97539814-a375-4fcc-a31b-570aad32ee28","resolution":{"observed_at":"2026-08-08T14:12:45.888030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.867586Z","title":"Large-scale neuromorphic computing systems","venue":null,"work_id":"edd6337b-cdd6-4841-954a-f53f5098ae01","year":2016},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.438950Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:fc56c43e72b11765984c478fac085441c934663ce8e4753d8f46839bcdc83a30","observation_id":"83a3ae4e-3980-473f-91c3-a868cb5cecde","resolution":{"observed_at":"2026-08-08T14:12:45.872651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.851836Z","title":"A million spiking-neuron integrated circuit with a scalable communication network and interface,","venue":null,"work_id":"85a33c55-05e6-4d2f-abe9-db5a7cc308dc","year":2014},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.443807Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:93df5052530c949d909d3ae3821adad457755c4a99661fecec4134cec371a1ff","observation_id":"87103eaa-38d3-4753-8edb-614c670be4ca","resolution":{"observed_at":"2026-08-08T14:12:45.856569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.836860Z","title":"Loihi: A neuromorphic manycore processor with on- chip learning,","venue":null,"work_id":"301ef0a6-aaad-4cea-81cb-7957c3254d47","year":2018},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.449726Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:ce587694ec8f51ac7f150d1e4d9ad85ac6f5ba3dca107fc50a55408bda5f19ad","observation_id":"bf86e06d-aa92-486f-abcc-1bc8f3ad812b","resolution":{"observed_at":"2026-08-08T14:12:45.841831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.821891Z","title":"Sparse coding via thresholding and local competition in neural circuits,","venue":null,"work_id":"bb5faea0-39a8-4958-ac5c-6b1612f91532","year":2008},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.454838Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:e079f4c832d75c820df301c749d7135862984342eb198851142b325a3eeda01b","observation_id":"c7acd66a-1e8e-492c-89e7-6158a20072ef","resolution":{"observed_at":"2026-08-08T14:12:45.826886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.806418Z","title":"Advancing neuromorphic computing with loihi: A survey of results and outlook,","venue":null,"work_id":"461b4a13-e038-4171-8fd7-1513036651d2","year":2021},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.459472Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:41998240b0c1d63cf887ecb3de5509a384706fb9f1739e4ee4259edb83c6f1fc","observation_id":"f6d15f26-5372-480b-9ae3-83a670e17001","resolution":{"observed_at":"2026-08-08T14:12:45.811452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.791171Z","title":"Implementing and benchmarking the locally compet- itive algorithm on the Loihi 2 neuromorphic processor,","venue":null,"work_id":"6de635a7-61ca-4578-991a-3b44fa759f22","year":2023},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.464951Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:153457cb633dbd75ce2014608c86fb55b14245eeaace2b782fccc39b1052cfd7","observation_id":"f9476be3-4ff0-4ad8-b2b4-df24bb2b5816","resolution":{"observed_at":"2026-08-08T14:12:45.796177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08188","last_updated":"2025-08-29T00:03:28Z","snapshot_observed_at":"2026-08-07T09:37:00.237452Z","submitted_at":"2024-09-12T16:26:29Z","title":"Efficient Sparse Coding with the Adaptive Locally Competitive Algorithm for Speech Classification","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08188","snapshot_observed_at":"2026-08-08T14:12:45.469795Z","title":"Efficient sparse coding with the adaptive lo- cally competitive algorithm for speech classification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.469795Z"},"links":{"cited_paper":"/paper/2409.08188","citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:9cd5c386c1831d7b7c7c18a75edb89a5867b8aad0497d5a0b28fd141aa7d26c9","observation_id":"e83abfc0-1f25-4801-9640-dae9691aff5c","resolution":{"observed_at":"2026-08-08T14:12:45.469795Z","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":"2026-08-08T14:12:45.774448Z","title":"The Heidelberg spiking data sets for the systematic evaluation of spiking neural networks,","venue":null,"work_id":"606b74bd-04f0-402f-a4fa-e140296d074f","year":2020},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.474985Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:eee88dc849e4c6bf955d9a701f1d12916a3ee6a6cb643b2b3e64850531f28e5d","observation_id":"52bde859-ad71-49e2-9ed2-07487b69bbf1","resolution":{"observed_at":"2026-08-08T14:12:45.780212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.758091Z","title":"Adaptive approach for sparse representations using the locally competitive algorithm for audio,","venue":null,"work_id":"624b0ecc-2417-4579-a04c-0c4215263cc3","year":2021},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.479668Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:1da2753650cbf2334fe005d5d4239ed5bce6aaffebf0d2bc1be0f3b1a49eb3b1","observation_id":"6087a532-ac6a-498d-8b05-0f407d477e77","resolution":{"observed_at":"2026-08-08T14:12:45.762954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.742836Z","title":"Speaker recognition from raw waveform with SincNet,","venue":null,"work_id":"6ab2957f-d3b3-4b6c-bed1-be941b6d8bec","year":2018},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.484815Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:89f7be1884d4078584e22304a3dfeac7191bb742c26a0a1d052f4e7ae52bd0bc","observation_id":"a3205c34-2ec8-4450-999d-ebcb5e9f50b8","resolution":{"observed_at":"2026-08-08T14:12:45.747861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.727553Z","title":"Efficient neuromorphic signal processing with Loihi 2,","venue":null,"work_id":"ac8b4cef-a338-43f8-b1a4-b19c87b2df98","year":2021},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.489297Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:af6b98d248d0f79e3d9e69c5ec5cdd995ad2f3a39d33fa4f6db659c60a27a2be","observation_id":"24daddff-11ae-4be4-a16e-f6c800e83e8a","resolution":{"observed_at":"2026-08-08T14:12:45.732453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.704433Z","title":"Neural-based approach to perceptual sparse coding of audio signals,","venue":null,"work_id":"8ef60d1d-7d55-4940-afe3-eb6e7de30144","year":2010},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.493823Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:d927abd0092907a7c7d2f7a47f8236a355b505cc309da00ed6e047a2c43cec65","observation_id":"6ae6edb5-00d1-4fac-b391-c489e459dea5","resolution":{"observed_at":"2026-08-08T14:12:45.709591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.687467Z","title":"A causal locally competitive algorithm for the sparse decomposition of audio signals,","venue":null,"work_id":"76f23949-e58b-44d7-9d4e-84948809018e","year":2011},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.498378Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:025a3f965543c7fddfd368cc7bdcb830185fac1ba83bc3ccb1ec9393a4eec116","observation_id":"eced94fc-6ed8-4a32-9dff-63c35bbe01b1","resolution":{"observed_at":"2026-08-08T14:12:45.693511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.502683Z","title":"A time-domain, level-dependent auditory filter: The gammachirp,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.502683Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:f60842253191c3b9679b904ae3e7d8fe3644859af2c5f49be5f757a3546dbd76","observation_id":"be5734d5-2179-4a51-9391-f4acb88fe32e","resolution":{"observed_at":"2026-08-08T14:12:45.502683Z","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":"2026-08-08T14:12:45.661238Z","title":"Auditory filters and excitation patterns as representations of frequency resolution,","venue":null,"work_id":"73a5441f-2c02-4a95-8836-9d2264d22c25","year":1986},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.507356Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:68f2389c000bca6b2d501281dca53a1120265f7e8b50e8702b0bdc406905ffbe","observation_id":"e891e8e4-187c-481a-8174-2668d05d9e49","resolution":{"observed_at":"2026-08-08T14:12:45.666194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.645164Z","title":"Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the echo state network approach,","venue":null,"work_id":"a0dc2318-8235-4c7f-87f9-e1c93b2029a6","year":2002},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.512373Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:6fb8f9a86de3d0a667a93603ec77cab09f6f0ba1e4202c387ca28958a9105741","observation_id":"6911bac6-b36f-4d42-a8b8-0201771fb714","resolution":{"observed_at":"2026-08-08T14:12:45.650793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-08T14:12:45.517826Z","title":"Adam: a method for stochastic optimization,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.517826Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:80645f2eda1789e166630df1e160d6d9944af6aa262b26a81837b8c3385bc2b9","observation_id":"48028cd6-b16d-4096-83cd-367681aa5cd4","resolution":{"observed_at":"2026-08-08T14:12:45.517826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-08T14:12:45.522634Z","title":"Speech commands: A dataset for limited-vocabulary speech recognition,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.522634Z"},"links":{"cited_paper":"/paper/1804.03209","citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:1398a861426b8dec21df64d8a72acc46f67e68fc6cdb51250b2f235eb898128d","observation_id":"05e6ce8e-a32d-40f2-b4a6-b43523886127","resolution":{"observed_at":"2026-08-08T14:12:45.522634Z","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":"2026-08-08T14:12:45.628541Z","title":"SuperSpike: Supervised learning in multilayer spiking neural networks","venue":null,"work_id":"0b5fff59-f296-495d-a36b-d2a044d85b3b","year":2018},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.527622Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:ad947c0bc20dcaf3d450a66a0a090d36ccb617f914e76cbc9f483faeb6ce001e","observation_id":"a090d5df-a81e-4ab0-93b8-791deee455d4","resolution":{"observed_at":"2026-08-08T14:12:45.634549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T14:12:45.611437Z","title":null,"venue":null,"work_id":"dc27f499-6b21-42ae-b20e-e8d3f60de685","year":2023},"citing_paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T14:12:45.532677Z"},"links":{"citing_paper":"/paper/2502.06989"},"observation_digest":"sha256:f8acfc7c48c62d003f61dfae4255af9dd42a4933831f5c010bd5ac3633366768","observation_id":"b4be454d-5413-494f-a01a-cc656f4168c1","resolution":{"observed_at":"2026-08-08T14:12:45.617577Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.06989","last_updated":"2025-08-29T00:15:16Z","latest_version":2,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-08T14:05:17.970721Z","submitted_at":"2025-02-10T19:34:16Z","title":"Adaptive Central Frequencies Locally Competitive Algorithm for Speech"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":16},"total_outbound_references":21},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2502.06989."}