{"as_of":"2026-08-08T10:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bc490698d3fa72f47c57e832fa914b094794c1e1a3637fc4406e1ad41c4c651a","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T07:24:45.501128Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T07:24:43.264655Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.20542","snapshot_observed_at":"2026-08-03T07:24:43.264655Z","title":"Task description In this work, we formulate EEG-based speech envelope recon- struction – a common AAD pipeline component –as a regres- sion problem","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:43.264655Z"},"links":{"cited_paper":"/paper/2601.20542","citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:335f4410e6eda2347a047a520031fa3ad3438ad42a52ae3efcb763b50199293b","observation_id":"87e88268-8c05-4327-8620-ef259ad1fbb6","resolution":{"observed_at":"2026-08-03T07:24:43.264655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2601.20542/citation-record","integrity":"/paper/2601.20542/integrity","json":"/paper/2601.20542/citation-record.json","paper":"/paper/2601.20542"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:43.241964Z","title":"Recent studies in neuroscience have demonstrated that auditory selective at- tention enhances cortical tracking of the attended speech en- velope [1, 2, 3, 4]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:43.241964Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:d5d9572c42f44eb02ee07fec4f520445f9f92871174f61f8003b8a96ad1af3b6","observation_id":"388b34c0-cb71-46f3-8d9e-96562ea4ff33","resolution":{"observed_at":"2026-08-03T07:24:43.241964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.20542","snapshot_observed_at":"2026-08-03T07:24:43.264655Z","title":"Task description In this work, we formulate EEG-based speech envelope recon- struction – a common AAD pipeline component –as a regres- sion problem","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:43.264655Z"},"links":{"cited_paper":"/paper/2601.20542","citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:335f4410e6eda2347a047a520031fa3ad3438ad42a52ae3efcb763b50199293b","observation_id":"87e88268-8c05-4327-8620-ef259ad1fbb6","resolution":{"observed_at":"2026-08-03T07:24:43.264655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:43.323415Z","title":"Dataset We evaluate our methods on three publicly available EEG-based auditory attention datasets, covering two-talker paradigms: KUL [15], DTU [16] and KUL-A V-GC [17]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:43.323415Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:1d53a4e7b5947b938304df993810fac8f0916413114da2435ed3470d36c7b01f","observation_id":"0e4f1617-d7de-4aa1-9977-7f0be278f157","resolution":{"observed_at":"2026-08-03T07:24:43.323415Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:43.482121Z","title":"Correlation Between Accuracy and PCC Fig","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:43.482121Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:f0fd65563f6b334418796f77f3414e83452313ff38fe6ce0a26a2e913140b2ab","observation_id":"17cd1aae-a62a-41b6-b244-aff3fca3e342","resolution":{"observed_at":"2026-08-03T07:24:43.482121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:43.597966Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:43.597966Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:c422660236e57da8a0ac589e877395fc4c9cafe87994906f536bef29f27545bd","observation_id":"1666f2a8-6a01-484d-b452-11f8461eb593","resolution":{"observed_at":"2026-08-03T07:24:43.597966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:43.710160Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:43.710160Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:4a7ed4a7a9a2c1279003ec3b51e9ab046b00585eb86ce19531738754bbb87e78","observation_id":"0e11a690-c491-4c1b-87c3-ca155e6b60ee","resolution":{"observed_at":"2026-08-03T07:24:43.710160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:43.816352Z","title":"Emergence of neural encoding of audi- tory objects while listening to competing speakers,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:43.816352Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:e67d151cad49bf4ca1b8e0ac6414d6a8e07a8f93af1b059e5d5e78607ed24387","observation_id":"57d118c6-1fab-4378-91c0-4d62dc6ddeb4","resolution":{"observed_at":"2026-08-03T07:24:43.816352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:43.890379Z","title":"Selective cortical representation of attended speaker in multi-talker speech perception,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:43.890379Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:9e670dcb19ee559ad7365cf2049a6a11b8fafa81c57fd8acc60005a3d7907208","observation_id":"9b399f5a-c0ba-47b6-975c-3f8a7f5c9674","resolution":{"observed_at":"2026-08-03T07:24:43.890379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:43.989520Z","title":"ListenNet: A lightweight spatio-temporal enhancement nested network for auditory atten- tion detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:43.989520Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:4d0f92edfbf5039d294b6d10f71d7daea8516f8f074ecf07c33630e3549f22c1","observation_id":"d01d4ae3-9810-4a17-8595-8b8a878b4333","resolution":{"observed_at":"2026-08-03T07:24:43.989520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:44.039489Z","title":"Integrating time–frequency do- main shallow and deep features for speech–EEG match–mismatch of auditory attention decoding,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:44.039489Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:fa312c0049fd0bd2fab7f22068fac0d79e5423e427b7e137ec387e17d7ad277a","observation_id":"4c909a21-6fcf-4603-b8bf-0e12d83981f6","resolution":{"observed_at":"2026-08-03T07:24:44.039489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.00466","last_updated":"2025-05-31T08:33:57Z","snapshot_observed_at":"2026-08-07T12:02:18.638691Z","submitted_at":"2025-05-31T08:33:57Z","title":"M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.00466","snapshot_observed_at":"2026-08-03T07:24:44.110448Z","title":"M3ANet: Multi-scale and Multi- Modal Alignment Network for Brain-Assisted Target Speaker Ex- traction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:44.110448Z"},"links":{"cited_paper":"/paper/2506.00466","citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:d27b6e47a352c023f92dfce8875aca11e0d159da2f2d11b728300b0654f591bb","observation_id":"36a42793-abee-433f-8157-6c307e1077df","resolution":{"observed_at":"2026-08-03T07:24:44.110448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:44.284115Z","title":"TFGA-Net: Temporal-Frequency Graph Attention Network for Brain-Controlled Speaker Extrac- tion,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:44.284115Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:39d6df3c19eaecc48705f941b296c7942998cde726462ed7cae6319e7f2341c8","observation_id":"5fc707bf-e410-4092-9690-0c4436481323","resolution":{"observed_at":"2026-08-03T07:24:44.284115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:44.430678Z","title":"NeuroHeed: Neuro-steered speaker extraction using EEG signals,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:44.430678Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:2775e9df950eab87daee8dc6e94527e5a9964e2782fe2b5b9c7816ae18f747ec","observation_id":"35784ab4-7f0f-45cd-b603-70af94c13cff","resolution":{"observed_at":"2026-08-03T07:24:44.430678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:44.641564Z","title":"Real-time con- trol of a hearing instrument with EEG-based attention decoding,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:44.641564Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:850bb3c740445941a6d8839c5dd7204b907e9dae90ca294d4238733ec137a7c2","observation_id":"4e0e6f47-b221-42ed-9710-4a28cc08b6b2","resolution":{"observed_at":"2026-08-03T07:24:44.641564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:44.758148Z","title":"De- coding of the speech envelope from EEG using the VLAAI deep neural network,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:44.758148Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:72d101186631b6c1b0c05b527a952c8267a880316477a57cfedcec9f5b96eff5","observation_id":"008452a4-ce75-455b-ae4c-6f12dea8702d","resolution":{"observed_at":"2026-08-03T07:24:44.758148Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:44.980012Z","title":"SSM2Mel: State Space Model to reconstruct Mel spectrogram from the EEG,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:44.980012Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:689e68b47a1c03972c31a600499a84b3d67b591c63e3ec867ba66f350ef6a5bb","observation_id":"496e9346-5586-41cf-aac9-22984d6fa2aa","resolution":{"observed_at":"2026-08-03T07:24:44.980012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:45.097823Z","title":"Speech reception threshold estimation via EEG-based continuous speech envelope reconstruction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:45.097823Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:5d1d2e317c416ebb49e3732ae5ef0e7acb5c85999c0b0c48e004d520c0625d5a","observation_id":"f41e6099-dc70-4035-abf5-6b68a0d9b764","resolution":{"observed_at":"2026-08-03T07:24:45.097823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:45.151750Z","title":"A learn- able spatial mapping for decoding the directional focus of audi- tory attention using EEG,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:45.151750Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:3378ddc155f7be829b0d2f7a6c8926a841e963d6db2e0ca1778344806ce9d01a","observation_id":"334dcb76-a894-4a7a-a253-2c9f9ff9b7f2","resolution":{"observed_at":"2026-08-03T07:24:45.151750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:45.230968Z","title":"A DenseNet-based method for decoding auditory spatial attention with EEG,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:45.230968Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:0e7d14863970ad7c995546d1a11db7f7d9686846e528da1b0da54cb2e365f334","observation_id":"2cb7f69c-4d56-404b-ab78-cd59fe56ee24","resolution":{"observed_at":"2026-08-03T07:24:45.230968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:45.270202Z","title":"EEG-Deformer: A dense convolutional transformer for brain–computer interfaces,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:45.270202Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:a3141fb503e184dee5ef7ec0f1f4781bcdbfb1d53e85d67b81662b8781afdb0e","observation_id":"94a5fe5d-9355-4bb3-babf-7ccfe91bce5b","resolution":{"observed_at":"2026-08-03T07:24:45.270202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:45.290518Z","title":"Auditory- inspired speech envelope extraction methods for improved EEG- based auditory attention detection in a cocktail party scenario,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:45.290518Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:b9d3ef79c1f8d4f45b903e6de730abb188ce622497902c3bb2283e815369bb3c","observation_id":"cd4e8d24-6058-4874-934c-d46fb1bee610","resolution":{"observed_at":"2026-08-03T07:24:45.290518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:45.424379Z","title":"Noise-robust cortical tracking of attended speech in real-world acoustic scenes,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:45.424379Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:094eb0910ed9b577f7e2ff10134563edc701625841437133c645bfbb7de5a170","observation_id":"08fadf0c-d38e-4be2-994a-c21aa509b57c","resolution":{"observed_at":"2026-08-03T07:24:45.424379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T07:24:45.501128Z","title":"What are we really decoding? Unveiling biases in EEG-based decoding of the spatial focus of auditory attention,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T07:24:45.501128Z"},"links":{"citing_paper":"/paper/2601.20542"},"observation_digest":"sha256:99a48a9f937f5f793d3d50bc815aea6fb832552e30e15087e4a940bdf476a453","observation_id":"d659ea38-ae7d-4388-adf4-dac76d25c21c","resolution":{"observed_at":"2026-08-03T07:24:45.501128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.20542","last_updated":"2026-05-23T03:34:27Z","latest_version":3,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-08T07:08:44.577536Z","submitted_at":"2026-01-28T12:37:20Z","title":"Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":23},"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 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2601.20542."}