{"as_of":"2026-08-14T18:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f740e28dae3c8e913c779b64f94995e3252166778a2255ef4ca2f6f22db584f9","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:26:55.652667Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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":"2026-08-07T14:50:31.665673Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T14:50:33.704203Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"cited_work":{"arxiv_id":"2507.15914","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.15914","snapshot_observed_at":"2026-08-07T14:50:33.704203Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","venue":"eess.SP","work_id":"99c664bc-952f-4446-b528-50bb56424a9b","year":2025},"citing_paper":{"arxiv_id":"2505.17457","last_updated":"2025-08-04T08:35:27Z","snapshot_observed_at":"2026-08-12T09:19:02.788307Z","submitted_at":"2025-05-23T04:33:54Z","title":"Hypergraph Mamba for Efficient Whole Slide Image Understanding","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T14:50:31.665673Z"},"links":{"cited_paper":"/paper/2507.15914","citing_paper":"/paper/2505.17457"},"observation_digest":"sha256:297d471770ce50deb776e1f99d9b3db3049f7e55c8359a05a7ff213083fc77e5","observation_id":"e2866439-c2bb-422f-b3b2-578792259285","resolution":{"observed_at":"2026-08-07T14:50:33.756823Z","resolver_source":"local_arxiv","status":"verified_exact"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2507.15914/citation-record","integrity":"/paper/2507.15914/integrity","json":"/paper/2507.15914/citation-record.json","paper":"/paper/2507.15914"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:27:01.872346Z","title":"Time–frequency representation and convolu- tional neural network-based emotion recognition,","venue":null,"work_id":"b3a444f8-6500-4f41-bc61-c626de675457","year":2021},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:53.397458Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:56dd7fb168fc3b317d4cb7982a5dc2a488333a75cc8e973afd73e19a33f2f620","observation_id":"fe1bfa0b-cf94-4f6a-a064-dcf19676823a","resolution":{"observed_at":"2026-08-06T15:27:01.917690Z","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":"10.1038/s41598-024-82705-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Eeg-based emotion recognition using multi-scale dynamic cnn and gated transformer,","venue":"Scientific Reports","work_id":"693f11c2-594a-40fe-9a6a-96e9d05ebe8d","year":2024},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:53.458596Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:d20ca2e7dd31ab40433f44812debc1ea7910442ccbc9fced8e777310248357f9","observation_id":"4b95ec6a-29d8-4ce2-a847-9c72a50ab073","resolution":{"observed_at":"2026-08-06T15:26:55.756949Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-06T15:27:01.716797Z","title":"A transformer based neural network for emotion recog- nition and visualizations of crucial eeg channels,","venue":null,"work_id":"78a70ee6-1dc2-4342-9768-cf10b3601f0f","year":2022},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:53.501556Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:ea7a1608664c63edeaa4a2af0fd278fd0e2c662339736345cf7d7461de82a42d","observation_id":"76b6ab3a-c476-4a85-8b64-e10a9587133e","resolution":{"observed_at":"2026-08-06T15:27:01.799622Z","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":"2026-08-06T15:27:01.579547Z","title":"Emotion recognition in eeg signals using deep learning methods: A review,","venue":null,"work_id":"983b2629-7c9d-4879-8e4e-710a2c9fc30d","year":2023},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:53.601390Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:cac17199c987b884bcd1c2b0cb8fbb285b0a882d3a0b6fa746da6e8489fafe3c","observation_id":"8cc2d025-30ee-4c5e-8e73-3a4b44e643e0","resolution":{"observed_at":"2026-08-06T15:27:01.638323Z","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":"2026-08-06T15:27:01.445945Z","title":"Multi-periodicity dependency transformer based on spectrum offset for radio frequency fingerprint identification,","venue":null,"work_id":"acc545fc-5376-4315-a462-148a8ece85b5","year":2025},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:53.660352Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:c8b7317cb32c5e70c6dd18a163a9a58446ec47ded8a3c9702d7692c0f5a129bb","observation_id":"184e9c91-9770-4ae8-b988-391252211d2f","resolution":{"observed_at":"2026-08-06T15:27:01.493407Z","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":"10.3390/s25051293","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Transformers in eeg analysis: A review of architectures and applications in motor imagery, seizure, and emotion classification,","venue":"Sensors","work_id":"bb6916ca-f287-4a6f-85ae-94aaea7144c5","year":2025},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:53.673444Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:b74987d90882ba3d4109ea0b0d3b232d01e22acc358b80c09dacdfaace03adf9","observation_id":"c8862016-4b49-49d3-ba1c-4aac93254714","resolution":{"observed_at":"2026-08-06T15:26:55.742521Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-06T15:27:01.331768Z","title":"Emotion classification based on transformer and cnn for eeg spatial–temporal feature learning,","venue":null,"work_id":"39fcf3dd-7b6d-4cf8-ab1e-bf21b8c8bbc6","year":null},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:53.748063Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:a3c434518175c6a5f7832f46d2ef785521a2059228fdc5d717b66ecf6952afdd","observation_id":"4ce68ff0-0297-4578-be9f-213a42d50cce","resolution":{"observed_at":"2026-08-06T15:27:01.390243Z","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":"2026-08-06T15:27:01.161821Z","title":"Review on emotion recognition based on electroencephalography,","venue":null,"work_id":"ded7b81c-a4e4-4d74-a8ad-d9c63ba4bcfb","year":2021},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:53.942666Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:ae2bc44687c38dc3ecefcae05e1b85a37c0c2664fe3268d4dcf98dcba899064a","observation_id":"a85654dd-74d0-420d-ad48-b976ba73f7a3","resolution":{"observed_at":"2026-08-06T15:27:01.232680Z","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":"2408.10235","last_updated":"2024-12-23T20:38:19Z","snapshot_observed_at":"2026-08-12T23:09:02.804847Z","submitted_at":"2024-08-04T03:51:35Z","title":"Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation","version":2},"cited_work":{"arxiv_id":"2408.10235","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.10235","snapshot_observed_at":"2026-08-06T15:26:56.543964Z","title":"Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation","venue":"eess.SP","work_id":"5b297a23-3fd8-4075-b0a2-f34ef26ea01d","year":2024},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:53.984012Z"},"links":{"cited_paper":"/paper/2408.10235","citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:310f299192003ec99bf23a8f4f0413859a556ff72fe48bd109265f48976a03f4","observation_id":"2aa49622-717d-4a6e-903c-28677c316935","resolution":{"observed_at":"2026-08-06T15:26:56.558290Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2024.14638","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:56.502486Z","title":"A comparative study of wavelet families for schizophrenia detection,","venue":null,"work_id":"02008b49-91d8-45eb-a920-481e2cae6aac","year":2024},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.045801Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:2f935446b9a0a4f8ca117cdf0b8ac5a13d2dd7e732465ccb1f0353ef677bd339","observation_id":"6e772c06-3bf1-4de6-aaa9-75b4e21d8ab9","resolution":{"observed_at":"2026-08-06T15:26:56.515630Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"10.1016/j.heliyon.2018.e00530","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Integration of stationary wavelet transform on a dynamic partial reconfiguration for recognition of pre-ictal gamma oscillations,","venue":"Heliyon","work_id":"d786873d-78cd-48ae-9cdb-8c01a8417a39","year":2018},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.105476Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:1169ea82cc0ea4d35d7c30bc8f94c0aaae9f281e835f1cbae5e3b65d9b94520e","observation_id":"ba621d6c-5fd6-4042-9543-26ca20d30d47","resolution":{"observed_at":"2026-08-06T15:26:55.712119Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-06T15:27:01.000422Z","title":"Eeg emotion recognition using dynamical graph convolutional neural networks,","venue":null,"work_id":"c2c4469e-95e6-46e3-aa55-977ea04dd7d6","year":2020},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.143875Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:7ac1e075d8419f386e51d0348f1f70999c56dcc5fccc003dc194c3767ca21130","observation_id":"d36d0f82-8df7-4c64-b7eb-67a96b2e764c","resolution":{"observed_at":"2026-08-06T15:27:01.063046Z","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":"2026-08-06T15:27:00.830904Z","title":"Analysis of eeg signals and facial expressions for continuous emotion detection,","venue":null,"work_id":"658e40f8-32bb-4ac4-8869-e0f99f00324a","year":2016},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.232024Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:099b85c9dc5134481c992340ea5f4c9edc91903a6a5fdb4e5e56994a429c3b14","observation_id":"9018133f-177e-4664-961a-41a75fbd7bff","resolution":{"observed_at":"2026-08-06T15:27:00.895949Z","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":"2026-08-06T15:27:00.674237Z","title":"Bridge graph attention based graph convolution network with multi-scale transformer for eeg emotion recognition,","venue":null,"work_id":"c5ea1c8c-196e-4561-9f75-62d2ce44bd1a","year":2024},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.281780Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:29e70bc7d1dc25cf2b36c6faa95f1caf7d262a2c69d248633e482d86a3ee6b67","observation_id":"4e849d66-a8cd-4a0b-bcc6-0db3ca605f06","resolution":{"observed_at":"2026-08-06T15:27:00.771386Z","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":"2308.16207","last_updated":"2024-03-13T08:35:00Z","snapshot_observed_at":"2026-08-13T10:24:30.755938Z","submitted_at":"2023-08-30T04:49:24Z","title":"MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition","version":2},"cited_work":{"arxiv_id":"2308.16207","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.16207","snapshot_observed_at":"2026-08-06T15:26:56.373417Z","title":"MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition","venue":"cs.LG","work_id":"6bff67e3-5ab4-4836-a99e-879f8edeffaf","year":2023},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.360034Z"},"links":{"cited_paper":"/paper/2308.16207","citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:29a5e7d2e1b7c356bf7e6345e90fa3d0ffdbc78502a7988b3cdd9b6b222484ca","observation_id":"e0fedd4c-717c-4059-8ce1-40f698dcc102","resolution":{"observed_at":"2026-08-06T15:26:56.378702Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-06T15:27:00.519339Z","title":"Hierarchi- cal spatiotemporal electroencephalogram feature learning and emotion recognition with attention-based antagonism neural network,","venue":null,"work_id":"beff753d-78d9-49ce-9ea3-e3b627afd6c3","year":2021},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.432145Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:bb257d7360b646cf44ef67ffac881fdc8def28c379fa786e9c2656e51b9366dd","observation_id":"d4ab8710-5764-48aa-b498-e8b7498b744f","resolution":{"observed_at":"2026-08-06T15:27:00.599099Z","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":"2026-08-06T15:27:00.389787Z","title":"Hierarchical dynamic graph convolutional network with interpretability for eeg-based emotion recog- nition,","venue":null,"work_id":"885718e3-dc7b-4716-b122-5dd1b5103251","year":2022},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.471313Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:9f221dbeaa0668481fe01277b6c2774b8389c38c30b144925d941b1812abec1a","observation_id":"8b06fa98-24c2-46b6-af4d-b6e87096ca36","resolution":{"observed_at":"2026-08-06T15:27:00.440377Z","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":"2026-08-06T15:27:00.227793Z","title":"Lggnet: Learning from local-global-graph representations for brain–computer in- terface,","venue":null,"work_id":"0b12876c-9550-4731-a9d3-77ae1aa81d39","year":2024},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.531264Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:744a23f738f6c6494731be00317909bc584409b82ed1f3c50272603037c1ccd3","observation_id":"46103cc2-ed20-44de-8714-3fadcf747771","resolution":{"observed_at":"2026-08-06T15:27:00.284582Z","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":"2026-08-06T15:27:00.078827Z","title":"Adaptive hierarchical graph convolutional network for eeg emotion recognition,","venue":null,"work_id":"83f2933b-92fe-4d28-b2c9-3fd6c3018af1","year":2022},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.593919Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:3a505b7e8fc318d59eb069e2716e03890336f5f62844840d361784f5b8808d1a","observation_id":"89b2ddf1-4cea-43a6-ac22-7aabe0ec4c1a","resolution":{"observed_at":"2026-08-06T15:27:00.149260Z","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":"2208.00883","last_updated":"2022-07-26T05:33:08Z","snapshot_observed_at":"2026-08-13T14:57:12.986508Z","submitted_at":"2022-07-26T05:33:08Z","title":"A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition","version":1},"cited_work":{"arxiv_id":"2208.00883","doi":null,"metadata_source":"pith","pith_arxiv_id":"2208.00883","snapshot_observed_at":"2026-08-06T15:26:56.351127Z","title":"A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition","venue":"eess.SP","work_id":"57a21cb6-7e5d-4105-b34b-b3a9ceede68a","year":2022},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.631750Z"},"links":{"cited_paper":"/paper/2208.00883","citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:24099834b0f65c07bdc0eaec843aa34caee7f8861e4034600410bdd13977a1dd","observation_id":"34a33903-cea1-48d4-bae6-a9f5c28b8c27","resolution":{"observed_at":"2026-08-06T15:26:56.355802Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-06T15:26:59.918967Z","title":"Development and validation of an eeg-based real-time emotion recog- nition system using edge ai computing platform with convolutional neural network system-on-chip design,","venue":null,"work_id":"8c35340e-f095-4374-9e2c-1370a570764b","year":2019},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.726521Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:041b6192bd9ff0faed33af234957a925a93b1469ecc7534859dae29eb2b62da7","observation_id":"3d7f1e5b-97ba-4d8b-988e-93b2c41b48e2","resolution":{"observed_at":"2026-08-06T15:26:59.990538Z","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":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-06T15:26:54.802817Z","title":"Mamba: Linear-time sequence modeling with selective state spaces,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.802817Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:69a9528bed16628e6e1758c4bfe33bb532b9449eacab9f20386910c55dfcb976","observation_id":"7e06ac08-7406-4778-a09c-1a6d4c240d22","resolution":{"observed_at":"2026-08-06T15:26:54.802817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07589","last_updated":"2025-07-21T18:41:51Z","snapshot_observed_at":"2026-08-12T22:46:43.883749Z","submitted_at":"2024-09-11T19:39:58Z","title":"miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models","version":2},"cited_work":{"arxiv_id":"2409.07589","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.07589","snapshot_observed_at":"2026-08-06T15:26:56.308535Z","title":"miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models","venue":"cs.HC","work_id":"c5096c25-fed0-492c-b5f9-c81d5271f218","year":2024},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.881863Z"},"links":{"cited_paper":"/paper/2409.07589","citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:2e3cdcd0d707cab47e6950059d5e823a77cda064cffb9f7e320b8022ebc733cc","observation_id":"3cd06bda-2bab-477d-b62c-51122946e01c","resolution":{"observed_at":"2026-08-06T15:26:56.315021Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-06T15:26:59.794199Z","title":"Global context mambav- ision for eeg-based emotion recognition,","venue":null,"work_id":"1f4d34b1-bc29-4b43-a739-f473a4195983","year":2025},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.928948Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:5673e137f1ff9c1125265670d2d065f73befc035e761023d56599314c20cb628","observation_id":"cbe8fb8e-4d32-4a64-95d8-79e5dadb4362","resolution":{"observed_at":"2026-08-06T15:26:59.858609Z","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":"2026-08-06T15:26:59.603766Z","title":"Investigating critical frequency bands and channels for eeg-based emotion recognition with deep neural networks,","venue":null,"work_id":"b51540d8-4b51-474c-bbeb-8a4cdbddba1f","year":2015},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:54.955309Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:8e03552971f643c26f1774a4a4938822150fe0c3802ad8eca43cfe417840e9ef","observation_id":"d429e3ec-8a11-425b-bcdb-5117d7b9e677","resolution":{"observed_at":"2026-08-06T15:26:59.673945Z","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":"2026-08-06T15:26:59.404572Z","title":"Similar brains blend emotion in similar ways: Neural representations of individual difference in emotion profiles,","venue":null,"work_id":"cda5097f-33a4-4b98-b949-31bf7be40f76","year":2022},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.071107Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:fa66d0841833a75a1cd0ba8d5abd02407c9f7f1402502439203c6aeca85e76b5","observation_id":"adae0e30-dfaa-41f6-94f8-80d124e71058","resolution":{"observed_at":"2026-08-06T15:26:59.544837Z","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":"2026-08-06T15:26:59.276419Z","title":"A large finer-grained affective computing eeg dataset,","venue":null,"work_id":"1f9f1e0f-c913-475e-9145-2aa1ed365e54","year":2023},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.130532Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:ad7d9b4b71224323e2590ab9986c208b42edb38f9d21ce227c57b4b1cde33195","observation_id":"c6a53277-fa55-4080-a626-1e9748b3d5eb","resolution":{"observed_at":"2026-08-06T15:26:59.343261Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":"2026-08-06T15:26:59.146275Z","title":"Eeg emotion recognition using dynamical graph convolutional neural networks,","venue":null,"work_id":"3048e941-6c9f-466d-9982-5f990255131d","year":2020},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.229450Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:128b470b9a965352b213daee48ddde1b0d8343b5843521d66e2f26fc8a37cbcb","observation_id":"54165ad1-622c-484a-86dc-981edcbc2d93","resolution":{"observed_at":"2026-08-06T15:26:59.186392Z","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":"2026-08-06T15:26:58.860124Z","title":"Chebynet: Boosting neural network fitting and efficiency through chebyshev polynomial layer connections,","venue":null,"work_id":"45865958-057d-4eeb-a21a-d0de16f193dd","year":2024},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.295110Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:4b376a138c632df0bb13ea75add45ccf1ab74820fcf526c921c31d515266b7a3","observation_id":"c963c1d4-544a-463d-8c63-0d380701c267","resolution":{"observed_at":"2026-08-06T15:26:59.032143Z","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":"2026-08-06T15:26:58.633139Z","title":"Eeg-based emotion recognition using regularized graph neural networks,","venue":null,"work_id":"8ed5994c-a55e-4a53-a65e-c49e3fbc179b","year":2020},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.421246Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:fc41bfa973f1d45cf2793bb853d12d00b41b7c9cb7b6c321e6ed0b2c176c7be2","observation_id":"37b5c8e5-c11b-465a-936a-49048947502f","resolution":{"observed_at":"2026-08-06T15:26:58.747487Z","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":"2026-08-06T15:26:58.396973Z","title":"A bi- hemisphere domain adversarial neural network model for eeg emotion recognition,","venue":null,"work_id":"78d9c02b-35f1-48c4-a74d-f6a98cca38e2","year":2021},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.529364Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:dbfb07d4de8f9ea8652568b8067ab1fdf9b2afab3e01173782ff3ecff58c7d67","observation_id":"bfbdc383-5474-4166-808c-b018fcd9919a","resolution":{"observed_at":"2026-08-06T15:26:58.525043Z","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":"2408.06027","last_updated":"2024-08-13T06:22:49Z","snapshot_observed_at":"2026-08-14T05:35:46.655549Z","submitted_at":"2024-08-12T09:29:26Z","title":"A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective","version":2},"cited_work":{"arxiv_id":"2408.06027","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.06027","snapshot_observed_at":"2026-08-06T15:26:56.583142Z","title":"A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective","venue":"eess.SP","work_id":"ff46bc6a-4f25-4f4d-b002-1e1abde92ffd","year":2024},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.552305Z"},"links":{"cited_paper":"/paper/2408.06027","citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:a497ce8df1c39eaf82ad635c8b37bf980ed2390ded2a168ece524e8c8840c34a","observation_id":"21b2c1ef-1874-4b88-80db-9f8deeedf21e","resolution":{"observed_at":"2026-08-06T15:26:56.611867Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-06T15:26:58.169896Z","title":"Gcb-net: Graph convolu- tional broad network and its application in emotion recognition,","venue":null,"work_id":"79b0d88e-e26a-4777-8d3a-56c0b1f91445","year":2019},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.556952Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:6f9908078d8b757a0999205a2c4948596ef09fe1528ea40645fc74300d160668","observation_id":"c777db87-b091-425f-b935-828fb0361977","resolution":{"observed_at":"2026-08-06T15:26:58.259252Z","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":"2210.02186","last_updated":"2023-04-12T02:34:03Z","snapshot_observed_at":"2026-08-13T07:42:38.880048Z","submitted_at":"2022-10-05T12:19:51Z","title":"TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02186","snapshot_observed_at":"2026-08-06T15:26:55.561957Z","title":"Timesnet: Temporal 2d-variation modeling for general time series analysis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.561957Z"},"links":{"cited_paper":"/paper/2210.02186","citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:642b393f5ee5479b67170d116ecdca59b8d1758884c836cebd57cc1934e75be2","observation_id":"369605ed-9236-47f3-9aea-8b44a5153b53","resolution":{"observed_at":"2026-08-06T15:26:55.561957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:58.003513Z","title":"Linking attention-based multiscale cnn with dynamical gcn for driving fatigue detection,","venue":null,"work_id":"934cdb56-78ac-41ec-b9b9-b506fbca69eb","year":2020},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.566568Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:3ab53d2389976e5af6558c5a5e45d7996754f38008f2869755d8582c98ae1dfb","observation_id":"6f6311b0-d768-47f6-b7af-f05dc0bb32ae","resolution":{"observed_at":"2026-08-06T15:26:58.060470Z","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":"2402.05956","last_updated":"2024-09-15T04:57:36Z","snapshot_observed_at":"2026-08-13T04:27:18.786927Z","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05956","snapshot_observed_at":"2026-08-06T15:26:55.571356Z","title":"Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.571356Z"},"links":{"cited_paper":"/paper/2402.05956","citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:69026ebd1225edead8f2d1ed78344f6ce83b22c755a840465314299cb18f1e77","observation_id":"d4d5efbe-c686-4464-8baf-bccc8270dfbf","resolution":{"observed_at":"2026-08-06T15:26:55.571356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:57.828862Z","title":"Visual-to-eeg cross-modal knowledge distillation for continuous emotion recognition,","venue":null,"work_id":"14a7b595-2850-4fbc-90c4-fcfdd2e6659b","year":2022},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.576099Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:93a4f4d809561c6184d359579392d9f611c40514752faa3c96d37fd88c94755e","observation_id":"224025ad-ba2d-4c90-b538-78fbfc149c72","resolution":{"observed_at":"2026-08-06T15:26:57.898661Z","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":"2026-08-06T15:26:57.648139Z","title":"A deep multi-source adaptation transfer network for cross-subject electroencephalogram emo- tion recognition,","venue":null,"work_id":"faf69227-974e-4cad-966a-3e979dd00b56","year":2021},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.580971Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:c0b6f607e2a8c3fd054aeb569b44ed81aaf503644b4f438f51671737f80944d4","observation_id":"d0ca8dfd-f17f-4b1c-a6d4-1733ffba9059","resolution":{"observed_at":"2026-08-06T15:26:57.736839Z","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":"2026-08-06T15:26:57.517683Z","title":"Panchromatic ikonos image classification using wavelet based features,","venue":null,"work_id":"34181e31-a0cc-482c-a4c6-cede1d37fb72","year":2009},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.585391Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:1f4d8d1c08670b792a11859a1147d1ea8541e42a8c6b6c60c943294a24287cd0","observation_id":"b83d64f6-88d4-4204-bf3e-68f75c60b9c6","resolution":{"observed_at":"2026-08-06T15:26:57.593985Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:55.589724Z","title":"Eeg conformer: Convolutional transformer for eeg decoding and visualization,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.589724Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:419510fea44a2e17b2a1a97b3ee9a31453e5bf67fc7f9fde0dd8b331c7032a00","observation_id":"08678187-729b-44c3-a996-3a54d4921ad8","resolution":{"observed_at":"2026-08-06T15:26:55.589724Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:57.388692Z","title":"Astdf-net: attention- based spatial-temporal dual-stream fusion network for eeg-based emo- tion recognition,","venue":null,"work_id":"8d52e448-d60b-4900-be98-cc89b78a8510","year":2023},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.594731Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:1509013913855add2a14b8122180f46bf84a426df851ceea07ea7f494cd2e7ed","observation_id":"5c6b4e45-f7a7-4eb8-b264-4d4dc1dace65","resolution":{"observed_at":"2026-08-06T15:26:57.428512Z","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":"2022.31986","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:56.140946Z","title":"Eeg-based emotion recognition using spatial-temporal graph convolutional lstm with attention mechanism,","venue":null,"work_id":"a63a0ded-3333-4e3e-8ee8-ebf7409b0c4a","year":2022},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.599662Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:d01eddf690f40c7397dd95918bb76dd49f568eb346f1b7b94b9fd22f5f9c7ae8","observation_id":"3da6bceb-ef2f-4c47-9db7-7adddf1c2f30","resolution":{"observed_at":"2026-08-06T15:26:56.148911Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-06T15:26:57.253083Z","title":"A multimodal database for affect recognition and implicit tagging,","venue":null,"work_id":"a6240cfd-2ab6-448d-9b3b-691ba5c4769b","year":2011},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.604733Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:740298a3c482ca133bf1f9fa93e08dfe81d841417f7f31f506c20bafc230442b","observation_id":"c0d5945d-de6f-4e9e-ba96-6b48f7e7c532","resolution":{"observed_at":"2026-08-06T15:26:57.299454Z","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":"2302.02520","last_updated":"2023-02-06T01:24:44Z","snapshot_observed_at":"2026-08-13T12:50:31.966502Z","submitted_at":"2023-02-06T01:24:44Z","title":"PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition","version":1},"cited_work":{"arxiv_id":"2302.02520","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.02520","snapshot_observed_at":"2026-08-06T15:26:56.057091Z","title":"PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition","venue":"cs.HC","work_id":"c5828494-525c-40c3-98fe-50bd022c70f4","year":2023},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.609753Z"},"links":{"cited_paper":"/paper/2302.02520","citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:ddf93274caf76b365921d1bbe91d6be283b3546b086cbdf0b8bd4f03df1270d6","observation_id":"f57d696e-a988-4bb0-9ecc-021de6f6b3fb","resolution":{"observed_at":"2026-08-06T15:26:56.062659Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-06T15:26:57.078457Z","title":"Tsception: Capturing temporal dynamics and spatial asymmetry from eeg for emo- tion recognition,","venue":null,"work_id":"3cd01594-95b9-4a7d-8a26-e3f28d10d505","year":2022},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.615404Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:44b9737a18ea7f6b0663af55e597af4b315ac7df990378917980584e44bf3674","observation_id":"e148dd3b-fe49-4f24-b3a9-7f46ab7f0682","resolution":{"observed_at":"2026-08-06T15:26:57.157344Z","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":"2026-08-06T15:26:56.951268Z","title":"Analysis of eeg signals and facial expressions for continuous emotion detection,","venue":null,"work_id":"7f67fddc-68d2-4428-8808-c98a15ff039d","year":2016},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.620869Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:b1157844a6e1ba82d3c7777ed9fa1f36fe840a6f033a93d63729567e3867c148","observation_id":"5de25cdc-3c99-461a-944f-f44a285f395c","resolution":{"observed_at":"2026-08-06T15:26:57.026543Z","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":"2026-08-06T15:26:56.812365Z","title":"Visual-to-eeg cross-modal knowledge distillation for continuous emotion recognition,","venue":null,"work_id":"cd957d7c-3251-46aa-b214-b296810f5a3f","year":2022},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.625290Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:9a02059560d721d9fc25689e7af3211d3c3201854c76bc3b7a9a7228acd8afc9","observation_id":"4490f9df-c922-4592-9ca3-54ac8ece4750","resolution":{"observed_at":"2026-08-06T15:26:56.867356Z","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":"2026-08-06T15:26:56.728764Z","title":"A deep multi-source adaptation transfer network for cross-subject electroencephalogram emo- tion recognition,","venue":null,"work_id":"6ca83e8a-aad3-480e-85f5-2de67c628400","year":2021},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.629487Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:2852e3605c6ac057d1f002d0d7783ccb8fd325af6ad6a17debd7af63258548f4","observation_id":"78b0e043-1a97-45e1-9b95-91a6454e3d42","resolution":{"observed_at":"2026-08-06T15:26:56.745907Z","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":"2026-08-06T15:26:56.693161Z","title":"Emt: A novel transformer for generalized cross-subject eeg emotion recognition,","venue":null,"work_id":"26c195fd-88ed-45f9-99d5-271cf3c67eb6","year":2025},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.633999Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:145dce84d510ca1c086df994080c22e10d682fda41ffeeed99971df165b3f66e","observation_id":"670bc3f0-0f43-42f1-accc-1a9d3a22190f","resolution":{"observed_at":"2026-08-06T15:26:56.708864Z","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":"2026-08-06T15:26:56.640543Z","title":"Emotions recognition using eeg signals: A survey,","venue":null,"work_id":"9118ee32-851b-488f-b0ee-8f5e607dbc9c","year":2017},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.638575Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:d5c1dd4e91e7bb9f96a801d5561ef87ac61cc26a9fd4e238bc337b80e1d574ad","observation_id":"52eb0dd3-6ed5-421a-8299-11fe255dd788","resolution":{"observed_at":"2026-08-06T15:26:56.665610Z","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":"2021.30649","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:56.028595Z","title":"Variational instance-adaptive graph for eeg emotion recognition,","venue":null,"work_id":"0c328560-9991-4b69-b9ba-a227aae4b05c","year":2023},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.643760Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:bf0b8fe16e6fd0becbe5bb315cc2e75519b698a46b2a50b785a9ad20398ec7a5","observation_id":"83d0e0b8-d510-444b-87e6-5551b2aa3845","resolution":{"observed_at":"2026-08-06T15:26:56.039308Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:55.648516Z","title":"Frontal eeg-based multi-level attention states recognition using dynamic complexity and extreme gradient boosting,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.648516Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:3a70c4dc3fe15b9192f928554088e0b13e688f680596f1aafb8f64e3c5a1ae0d","observation_id":"23a6935b-00fc-49cb-851e-933c79c54587","resolution":{"observed_at":"2026-08-06T15:26:55.648516Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s20010059","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers,","venue":"Sensors","work_id":"27bca9c2-c2ec-4774-bfe0-9ee286ffe15f","year":2019},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:55.652667Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:124393fb98f6d9fb5ec2a6ba933b3f5b5f98eb24927db68c9e8aa36295028720","observation_id":"6bc0bbcb-ba81-4bc0-a7bf-fc9f9d73c90b","resolution":{"observed_at":"2026-08-06T15:26:55.695733Z","resolver_source":"doi","status":"verified_exact"},"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":"10.3390/brainsci14030268","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Available: https://doi.org/10.3390/brainsci14030268","venue":"Brain Sciences","work_id":"80f88cb6-7dc3-44cc-b97a-2eb014e2a0de","year":null},"citing_paper":{"arxiv_id":"2507.15914","last_updated":"2025-07-21T17:18:00Z","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:53.804033Z"},"links":{"citing_paper":"/paper/2507.15914"},"observation_digest":"sha256:50ccceecd491830fec62338f3209ad5bd52a81e1306fcbcbf805dcd7e03e3a80","observation_id":"8bbcc653-44d1-49c7-b343-e6baf19d3c59","resolution":{"observed_at":"2026-08-06T15:26:55.727552Z","resolver_source":"doi","status":"verified_exact"},"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":"2507.15914","last_updated":"2025-07-21T17:18:00Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-13T09:07:04.308085Z","submitted_at":"2025-07-21T17:18:00Z","title":"MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":2,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":4,"verified_exact":11,"verified_fuzzy":34},"total_outbound_references":54},"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 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2507.15914."}