{"as_of":"2026-08-14T11:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5695ce5c3db6fccca82179b942d5ebe780fab418bfbdc3e9d90d93557fdb26d1","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T17:27:42.992730Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2411.12541/citation-record","integrity":"/paper/2411.12541/integrity","json":"/paper/2411.12541/citation-record.json","paper":"/paper/2411.12541"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1911.13254","last_updated":"2021-04-28T14:37:48Z","snapshot_observed_at":"2026-08-10T13:57:00.836098Z","submitted_at":"2019-11-27T13:50:45Z","title":"Music Source Separation in the Waveform Domain","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.13254","snapshot_observed_at":"2026-08-12T17:27:42.865635Z","title":"Music Source Separation in the Waveform Domain,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.865635Z"},"links":{"cited_paper":"/paper/1911.13254","citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:37281e15566ec0980dbd28d199aa98ea45e30cc842ad0b429114824466be1cae","observation_id":"bfd3cdf6-5b52-4ce5-af64-02870f739a85","resolution":{"observed_at":"2026-08-12T17:27:42.865635Z","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":"2026-08-12T17:27:43.420418Z","title":"A Systematic Review of EEG Source Localization Tech- niques and Their Applications on Diagnosis of Brain Abnormalities,","venue":null,"work_id":"368a30c8-31cc-4e5d-882f-aac2fc29b79b","year":2020},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.874300Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:f12cc7672e344b1c64bf2828c45f1d260f28d5b4075ce6c8cdee9f565da6ba40","observation_id":"2bc3d858-0c34-4987-898b-9bfa4a77c70c","resolution":{"observed_at":"2026-08-12T17:27:43.425789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.402357Z","title":"Analysis of Financial Time Series Morphology with Amuse Algorithm and its Extensions,","venue":null,"work_id":"10267a99-e3e7-4613-b1d7-b007879a9554","year":2016},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.880413Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:0a1e69b8f4c83cbbf9e025a54dacd80c5691ad84986e189344f32b77134bf3a7","observation_id":"72fa6a3f-d914-4b27-a268-76a5ed73e77e","resolution":{"observed_at":"2026-08-12T17:27:43.407395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.386539Z","title":"Unmixing Methods Based on Nonnegativity and Weakly Mixed Pixels for Astronomical Hyperspectral Datasets,","venue":null,"work_id":"09f40fb1-4b5e-4cc7-8213-ecc170c3c479","year":2021},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.886938Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:5999e5b64d82b6a090796605a2c6c019e4d05e2b748ef246b0c1a7741c499c53","observation_id":"3cc1de73-74ab-4ba9-a490-c1693c655464","resolution":{"observed_at":"2026-08-12T17:27:43.391485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.370000Z","title":"A simple and practical underlay scheme for short-range secondary communication,","venue":null,"work_id":"9891b837-2dfb-47fb-91ab-db04b78e2d84","year":2022},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.894071Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:cc40c62a54e079c849d6169b290fd8bfb7580006db68e3078cd5614dd6eb8af8","observation_id":"1920cf81-4a72-4ffa-a0f9-0fffc0a58bcd","resolution":{"observed_at":"2026-08-12T17:27:43.375809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.353348Z","title":"Enhanced Non-Preemptive Support of URLLC Using Spread Spectrum Underlay Signalling,","venue":null,"work_id":"4747e6c3-fb64-489a-aeb9-4698da87b107","year":2023},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.902144Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:c2e173db92cc27a6eb445321836ad24f4d0b6944688144d9d60685ed8b64e10d","observation_id":"3c6ee33a-ab96-41ef-8e4d-5087f2cc512f","resolution":{"observed_at":"2026-08-12T17:27:43.358549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.334649Z","title":"Performance Analysis and Deep Learning Design of Underlay Cognitive NOMA- Based CDRT Networks with Imperfect SIC and Co-Channel Interfer- ence,","venue":null,"work_id":"0ffed14f-24b4-41cc-ae3d-10c01ea70cc5","year":2021},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.909691Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:e11e1e5fb40b33fcab0c9e1996896a29c4c411f325bb5e574aacdfc48eb9f2f6","observation_id":"bb6854c5-5fa8-4b38-9904-104ec8c2fff5","resolution":{"observed_at":"2026-08-12T17:27:43.340819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.316908Z","title":"A Comprehensive Survey on GNSS Interferences and the Application of Neural Networks for Anti- Jamming,","venue":null,"work_id":"5c3d55a5-7438-402f-9865-ffd43c4cd3b9","year":2023},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.914971Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:1872132fb65347ce2e40b0a638628dbfaf92a699d7f72eef104e96c0757f39c4","observation_id":"87a7df52-08ed-4f1d-a3d7-b296adae7725","resolution":{"observed_at":"2026-08-12T17:27:43.322762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.296293Z","title":"A U-Net Architecture for Time-Frequency Interference Signal Separation of RF Waveforms,","venue":null,"work_id":"38e92c71-2e82-472f-891f-f2128002e825","year":2024},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.920707Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:ee2cd1bf853e7223998e97c0ad2847de5b09ee62f95fedd41bdff4250fb2c920","observation_id":"4fe4d99e-8947-4457-b745-354567bffa1f","resolution":{"observed_at":"2026-08-12T17:27:43.303856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.272205Z","title":"Improving Data-Driven RF Signal Separation with SOI- Matched Autoencoders,","venue":null,"work_id":"66ed8659-e82d-4b0d-9cbf-d0eb54f798be","year":2024},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.926834Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:c8c0c5f9da28249b0b387d3ac79e66cd574be1c4cac0e2ca0b9e262cc4dc479d","observation_id":"51c8f50c-a3fd-4f26-be87-ddfc25b0d645","resolution":{"observed_at":"2026-08-12T17:27:43.281324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.252921Z","title":"DEMUCS for Data-Driven RF Signal Denoising,","venue":null,"work_id":"29716a31-0376-4b12-9198-4295f423f7cd","year":2024},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.933303Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:0ee6a0b2b8640cb2117dc7121144f4a31ee054b33a31c9391ae302edcc8073bd","observation_id":"972fffed-5507-425a-8405-255d105afc48","resolution":{"observed_at":"2026-08-12T17:27:43.258677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.230479Z","title":"Linear Versus Non-Linear Interference Cancellation,","venue":null,"work_id":"d2f1ffa0-b722-4bfd-bd55-1a8ebf790ecb","year":1999},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.942005Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:18000db4d31c368c9667e2d9eaed86f0fd9e6a36d0e594525b2e9aa28a8aae8a","observation_id":"d97de557-695e-483e-a217-e306931fe85a","resolution":{"observed_at":"2026-08-12T17:27:43.237297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.211244Z","title":"Chapter 12 - Multi-User MIMO,","venue":null,"work_id":"9c987cc9-c277-440d-a364-87a3c09533f0","year":2013},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.948242Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:66e90913cddf48e17845cf0a6dd786c245875f95f9da1cd830875f8998ba1e5c","observation_id":"1f6845da-693b-4272-ae01-bc4a53ebe0be","resolution":{"observed_at":"2026-08-12T17:27:43.217040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.193107Z","title":"The Data-Driven Radio Frequency Signal Separation Challenge,","venue":null,"work_id":"2c6132bc-0af6-4344-8e3e-ec0960460963","year":2024},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.953400Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:8206b5014495da99cecc290f541b536e06011b08648814d280de1a4ceed717cf","observation_id":"ce3e3434-dfc2-447b-b705-8c56415c96de","resolution":{"observed_at":"2026-08-12T17:27:43.198957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.174360Z","title":"Blind Co-Channel Interference Cancellation Using Fast Fourier Convolutions,","venue":null,"work_id":"a2b343b7-22bb-4b09-8a64-224c1ca5940e","year":2024},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.958996Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:3b74710d974d7796c79d9f627404e66987905969c5686b87ba14372c580e9a4d","observation_id":"59b64d71-e6e5-4e9d-b2b4-8ae72c15f803","resolution":{"observed_at":"2026-08-12T17:27:43.180434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.157709Z","title":"ENS-Unet: End-to-End Noise Suppression U-Net for Brain Tumor Segmentation,","venue":null,"work_id":"601ef818-2108-4991-a8ce-fee9b0725aad","year":2018},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.968391Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:3dfe070e8f1e8fc105f90e9365a56cd15ae98b7b37e69e391177f393fded95dc","observation_id":"6a5b5022-1aeb-479c-8ab0-f35da1cc4f1d","resolution":{"observed_at":"2026-08-12T17:27:43.163044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.138208Z","title":"DNoiseNet: Deep Learning- Based Feedback Active Noise Control in Various Noisy Environments,","venue":null,"work_id":"ecc828e4-d4b0-417f-afe1-f424efed5f9d","year":2023},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.974719Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:6ae5f4eb4b2119f0dd2733ee9558de0babe316c225262901356d6cc256328d43","observation_id":"1c2574ba-acd4-4d5e-ae8e-149cf55e787b","resolution":{"observed_at":"2026-08-12T17:27:43.144049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.04861","snapshot_observed_at":"2026-08-12T17:27:42.980622Z","title":"Mobilenets: Efficient Convolutional Neural Networks for Mobile Vision Applications,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.980622Z"},"links":{"cited_paper":"/paper/1704.04861","citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:8b69f15d476a2c8022ba3280f4a8e240c1b21b3864ed6edb5c712ffd9b7527e3","observation_id":"ca143df5-40b0-498f-9f45-1409d1c5605c","resolution":{"observed_at":"2026-08-12T17:27:42.980622Z","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":"2026-08-12T17:27:43.117918Z","title":"Conv-Tasnet: Surpassing Ideal Time– Frequency Magnitude Masking for Speech Separation,","venue":null,"work_id":"f4c655e5-1f0b-4e72-9118-189980373b1e","year":2019},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.986318Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:e84b6451bdd8c238ba9f8f5a14582bcf1bbf1db2d1f6572dabeffb68fd54b410","observation_id":"2d4599d7-4d49-41d6-a4ae-f481185fbf47","resolution":{"observed_at":"2026-08-12T17:27:43.125022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-12T17:27:43.097193Z","title":"A method to estimate the energy consumption of deep neural networks,","venue":null,"work_id":"b3dc981b-0c7b-46df-9d42-7ae3e2fcd1d5","year":2017},"citing_paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T17:27:42.992730Z"},"links":{"citing_paper":"/paper/2411.12541"},"observation_digest":"sha256:79444d34accec1717ca7804a46107c2e5a383515916faf881dd34b828f34354c","observation_id":"ae6be9e0-3e32-4c99-81bc-01e7069cf876","resolution":{"observed_at":"2026-08-12T17:27:43.104380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.12541","last_updated":"2024-11-19T14:44:47Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-12T17:21:31.592501Z","submitted_at":"2024-11-19T14:44:47Z","title":"High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":18},"total_outbound_references":20},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.12541."}