{"as_of":"2026-08-15T23:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bae53a00a0d3f4ada6f360b404e916bc9e826c08f62f5eb98e47ec03122214cd","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:33:27.113288Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T12:13:09.435308Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T19:30:07.357934Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"cited_work":{"arxiv_id":"2505.24301","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.24301","snapshot_observed_at":"2026-07-04T19:30:07.357934Z","title":"Category-aware eeg image generation based on wavelet transform and contrast semantic loss.arXiv preprint arXiv:2505.24301, 2025","venue":null,"work_id":"8a8a2823-460f-48e0-9d68-1003b8fd68df","year":2025},"citing_paper":{"arxiv_id":"2606.25718","last_updated":"2026-07-04T12:51:38Z","snapshot_observed_at":"2026-08-01T21:36:13.497911Z","submitted_at":"2026-06-24T11:33:21Z","title":"What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-25T21:18:40.456212Z"},"links":{"cited_paper":"/paper/2505.24301","citing_paper":"/paper/2606.25718"},"observation_digest":"sha256:077eb71803700c634c64b55a19aefc2395dc58253d086f8b342add796b258385","observation_id":"9ab333f2-a1a0-4f42-a88f-eb5bc9224297","resolution":{"observed_at":"2026-07-04T19:30:07.359638Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.24301","snapshot_observed_at":"2026-07-12T12:13:09.435308Z","title":"Category-aware eeg image generation based on wavelet transform and contrast semantic loss.arXiv preprint arXiv:2505.24301, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.25718","last_updated":"2026-07-04T12:51:38Z","snapshot_observed_at":"2026-08-01T21:36:13.497911Z","submitted_at":"2026-06-24T11:33:21Z","title":"What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T12:13:09.435308Z"},"links":{"cited_paper":"/paper/2505.24301","citing_paper":"/paper/2606.25718"},"observation_digest":"sha256:55a6e4e2dbacaf22930ce5fa12ee580432200549bf38ad5779e90574f802b630","observation_id":"bb739334-96f8-46cb-87b5-86c8c87678ed","resolution":{"observed_at":"2026-07-12T12:13:09.435308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.24301/citation-record","integrity":"/paper/2505.24301/integrity","json":"/paper/2505.24301/citation-record.json","paper":"/paper/2505.24301"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.16934","last_updated":"2023-06-30T10:46:54Z","snapshot_observed_at":"2026-08-13T11:06:06.465515Z","submitted_at":"2023-06-29T13:33:02Z","title":"DreamDiffusion: Generating High-Quality Images from Brain EEG Signals","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.16934","snapshot_observed_at":"2026-08-07T12:33:24.159653Z","title":"Dreamdiffusion: Generating high-quality images from brain eeg signals","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:24.159653Z"},"links":{"cited_paper":"/paper/2306.16934","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:88695294586cc3fa79eca332c4581d48d03f632237a3135cd82643df32f882da","observation_id":"f66f14a6-949b-4ec1-a133-897b709c8fea","resolution":{"observed_at":"2026-08-07T12:33:24.159653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00712","last_updated":"2024-10-03T16:31:23Z","snapshot_observed_at":"2026-08-14T07:31:26.087377Z","submitted_at":"2024-10-01T14:05:30Z","title":"NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00712","snapshot_observed_at":"2026-08-07T12:33:24.409514Z","title":"Necomimi: Neural-cognitive multimodal eeg-informed image generation with diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:24.409514Z"},"links":{"cited_paper":"/paper/2410.00712","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:4ebda7c4bcb8044494087730def874eb048dea10a440fa5c8bce22e6ca69791b","observation_id":"d2360b6b-8014-4089-9747-0f495713654d","resolution":{"observed_at":"2026-08-07T12:33:24.409514Z","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":"2026-08-07T12:33:30.029315Z","title":"A large and rich eeg dataset for modeling human visual object recognition","venue":null,"work_id":"1e8ee153-6a53-4eab-b5dc-df349b9f2d92","year":2022},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:24.875533Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:3d3fe530b75420bfe8466abc83d15ee41bd88755c80d6412018bd9bde8396d8b","observation_id":"db9398eb-7702-48e1-b60f-782ca6e26276","resolution":{"observed_at":"2026-08-07T12:33:30.081088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:25.272768Z","title":"Deep residual learning for image recog- nition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.272768Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:3ed54c1c887fbf066a36cea2e59aef822f5bb9a0dd6bd14cf4f93dbc9693717a","observation_id":"cb61fc0b-5082-4013-9e36-ad604afac6b8","resolution":{"observed_at":"2026-08-07T12:33:25.272768Z","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":"2026-08-07T12:33:29.390740Z","title":"Brain2image: Converting brain signals into images","venue":null,"work_id":"e0bdc2ea-ba57-4e5b-a2bc-91bbcea6d653","year":2017},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.507667Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:202cc57c60c25dc5c8f60c172ed7307f19d5408cd1543a4690bede1677a052df","observation_id":"72d87460-0469-48c0-9820-1708b35cb01d","resolution":{"observed_at":"2026-08-07T12:33:29.495285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-07T12:33:25.578444Z","title":"Auto-encoding varia- tional bayes","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.578444Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:5e92cfd370be51d29953ef18797ac0f3617b94ce6fad12393791a110ab52f203","observation_id":"3100723e-9a54-42d8-8fc8-799479d87621","resolution":{"observed_at":"2026-08-07T12:33:25.578444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16342","last_updated":"2023-05-29T11:28:27Z","snapshot_observed_at":"2026-08-15T13:59:18.601903Z","submitted_at":"2023-05-24T08:43:44Z","title":"InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition","version":2},"cited_work":{"arxiv_id":"2305.16342","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.16342","snapshot_observed_at":"2026-08-07T12:33:27.752955Z","title":"InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition","venue":"cs.CL","work_id":"749bf16b-d473-4bb8-af05-a4a0318d415b","year":2023},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.616926Z"},"links":{"cited_paper":"/paper/2305.16342","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:76f4a95d6f3ae289dc7d3b9f7cef1456ac68d2529b4c381087f2c920d092112c","observation_id":"2e312f3b-05b4-41e8-b813-172ff5552fe7","resolution":{"observed_at":"2026-08-07T12:33:27.821096Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07721","last_updated":"2024-10-04T14:36:04Z","snapshot_observed_at":"2026-08-13T00:55:59.910029Z","submitted_at":"2024-03-12T14:58:57Z","title":"Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07721","snapshot_observed_at":"2026-08-07T12:33:25.695350Z","title":"Visual de- coding and reconstruction via eeg embeddings with guided diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.695350Z"},"links":{"cited_paper":"/paper/2403.07721","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:b25a2257ffd68499a792fb8f27117989e8608a701e653c62bf71e263c87dafed","observation_id":"4371811b-ac23-4557-a227-54fa8c01dc97","resolution":{"observed_at":"2026-08-07T12:33:25.695350Z","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":"2026-08-07T12:33:29.265323Z","title":"A convnet for the 2020s","venue":null,"work_id":"8048b858-4615-461a-9c05-851312c2779b","year":2022},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.753145Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:8a68b03fd980fd91336ae0ae5c6842f086394931412508aa85604bbbaac618ce","observation_id":"98095df1-4388-4df4-9d37-c0cd145fad4d","resolution":{"observed_at":"2026-08-07T12:33:29.327029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:29.127973Z","title":"Wordnet: a lexical database for english","venue":null,"work_id":"c71a0310-6801-4665-b660-a43ca321c093","year":1995},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.839491Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:35361e1bce40ab8f114e154bb0f9977870ee7bf2e8a4c5ca59a3eeb8b219bb1d","observation_id":"8a4df94d-dc3b-4ad9-8365-0d255135723e","resolution":{"observed_at":"2026-08-07T12:33:29.188988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-08-14T22:54:08.184266Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-07T12:33:26.014743Z","title":"Sdxl: Improving la- tent diffusion models for high-resolution image synthesis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.014743Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:3afea2b3c8cab7851572612f46897201eb5cc1dbc63c5ee5f90d4372a51b3c9d","observation_id":"080c31fc-9462-408e-92f8-00e11b218e1c","resolution":{"observed_at":"2026-08-07T12:33:26.014743Z","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":"2026-08-07T12:33:26.096868Z","title":"Learning transferable visual models from nat- ural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.096868Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:71931ec8b05f79aa13a682c06d123036e272ea155e7376e68c75c40419f95a7b","observation_id":"499d56d6-7122-4d21-9c70-67786ea3174e","resolution":{"observed_at":"2026-08-07T12:33:26.096868Z","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":"2026-08-07T12:33:28.579686Z","title":"Deep image reconstruc- tion from human brain activity","venue":null,"work_id":"c1783792-bcff-406a-836c-8047778be43a","year":2019},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.336932Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:1aa8fe06dd3ad97d1c5c8a3d764368fd52e0c560f3e97fc09faecf3324e68b9e","observation_id":"565fb632-7a8f-4d41-924b-77bb6473e35f","resolution":{"observed_at":"2026-08-07T12:33:28.632282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.04456","last_updated":"2021-02-08T10:37:03Z","snapshot_observed_at":"2026-08-08T13:53:07.915717Z","submitted_at":"2021-02-08T10:37:03Z","title":"Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.04456","snapshot_observed_at":"2026-08-07T12:33:26.398492Z","title":"Common spatial generative ad- versarial networks based eeg data augmentation for cross-subject brain-computer interface","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.398492Z"},"links":{"cited_paper":"/paper/2102.04456","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:bb05395c981ca41ea1c6d213d8f9a140483db0abbb08d4ecb4d8b134d475dd02","observation_id":"4604caf8-3f30-4184-9717-a7393ba2928e","resolution":{"observed_at":"2026-08-07T12:33:26.398492Z","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":"2026-08-07T12:33:28.468603Z","title":"Eeg conformer: Con- volutional transformer for eeg decoding and visualization","venue":null,"work_id":"1847f6b2-7dbc-4044-a96c-0e29cfd95400","year":2022},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.436358Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:8ca49405edaceb2dcb68cd235ba4a0db1f29d0d10fdf2395df3709185b04a9b1","observation_id":"2def9b28-be38-4156-9c5d-d9405e2ea908","resolution":{"observed_at":"2026-08-07T12:33:28.518516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.13234","last_updated":"2024-04-04T10:08:10Z","snapshot_observed_at":"2026-08-13T10:27:50.984036Z","submitted_at":"2023-08-25T08:05:37Z","title":"Decoding Natural Images from EEG for Object Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.13234","snapshot_observed_at":"2026-08-07T12:33:26.509016Z","title":"Decoding natural images from eeg for object recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.509016Z"},"links":{"cited_paper":"/paper/2308.13234","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:6ae2035e584d252446b16924bbe8e121de67725511bbc59909480aa95ca944e5","observation_id":"de946667-4328-4747-bcfe-dc8d28245690","resolution":{"observed_at":"2026-08-07T12:33:26.509016Z","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":"2026-08-07T12:33:28.337737Z","title":"High-resolution image reconstruction with latent diffusion models from human brain activity","venue":null,"work_id":"e39aae6b-c248-4ac0-8c86-b945e6567b1c","year":2023},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.602396Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:c626ac79070ae83efd7e8770a1a8d74f4cc61048fc8d7577a376ccee8d33e294","observation_id":"04299e9e-5731-4f10-bcf8-2a78a00e084f","resolution":{"observed_at":"2026-08-07T12:33:28.406815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"lg/9406033","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:33:27.544741Z","title":"Verb semantics and lexical selection","venue":null,"work_id":"a0a6a15a-e57a-4a44-b0aa-a1a64e9398a8","year":1994},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.705753Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:5bac8bacbc24395836cdb55a157bb4b592b0f9d956c52361f1b0df4f30e4740f","observation_id":"066da5b0-907f-412a-b225-b75e831414a5","resolution":{"observed_at":"2026-08-07T12:33:27.629815Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06721","last_updated":"2023-08-13T08:34:51Z","snapshot_observed_at":"2026-07-06T16:05:39.158819Z","submitted_at":"2023-08-13T08:34:51Z","title":"IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.06721","snapshot_observed_at":"2026-08-07T12:33:26.867349Z","title":"Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.867349Z"},"links":{"cited_paper":"/paper/2308.06721","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:11d1e9daa53151e8067ade990c19c71dc13529ba84d587c14182c5f37f76fa19","observation_id":"f4d3ae86-02fe-433d-bcfa-7c821975e8e6","resolution":{"observed_at":"2026-08-07T12:33:26.867349Z","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":"2026-08-07T12:33:28.104577Z","title":"Wet-unet: Wavelet integrated efficient transformer networks for nasopharyngeal carcinoma tumor segmen- tation","venue":null,"work_id":"d4e92756-1fd9-4b13-8bfc-641fb56c7249","year":2024},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.930549Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:ed9485b7f03336ab8204dce5b9ece0a1d3f6af292ebdc1e8a74c4e87cb9dea18","observation_id":"5f194616-dc41-427f-a28b-6d240b93c880","resolution":{"observed_at":"2026-08-07T12:33:28.162410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:27.955568Z","title":"Texture-preserving diffusion model for cbct-to-ct synthesis","venue":null,"work_id":"f74ba829-362a-48dc-bcf2-743d03b09607","year":2025},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:27.036147Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:c29d39bd8cd31e41d2d9adfd5948ee66cabff01af26e1daf28606d51c33df443","observation_id":"75d0b69a-9718-4888-a0c2-e2e2a6126633","resolution":{"observed_at":"2026-08-07T12:33:28.025813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01884","last_updated":"2024-07-02T02:11:15Z","snapshot_observed_at":"2026-08-12T23:30:48.792895Z","submitted_at":"2024-07-02T02:11:15Z","title":"EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More","version":1},"cited_work":{"arxiv_id":"2407.01884","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.01884","snapshot_observed_at":"2026-08-07T12:33:27.244635Z","title":"EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More","venue":"cs.CV","work_id":"70a7e7c7-46d0-472c-8333-3d1c8969ad91","year":2024},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:27.113288Z"},"links":{"cited_paper":"/paper/2407.01884","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:860f3308a96d2010771eca163e489e697beed205af592e737a157f2b1ad67e53","observation_id":"bacbf421-d5aa-43d3-8941-456401fa5ade","resolution":{"observed_at":"2026-08-07T12:33:27.309797Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:28.230069Z","title":"The survey of image gen- eration from eeg signals based on deep learning","venue":null,"work_id":"9d705fbe-6df6-4a38-8d8b-e498fdea6095","year":2021},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":1994,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.789670Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:0863d0d1c645e79c74a2114fd1e23cc67c2a6cd2bb7cece5566756ee2f772645","observation_id":"0c16107b-952b-4983-a84c-b78c80bdd240","resolution":{"observed_at":"2026-08-07T12:33:28.276854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:29.013146Z","title":"Automatic detection of epilep- tic seizures in eeg using discrete wavelet transform and approximate entropy","venue":null,"work_id":"d5ba5f08-c5a8-4044-878e-b6a3e47ee12e","year":2009},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":1995,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.906033Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:1f842c94a3ff4ea470bf0956d4ea614095d7c4e327a7a02b1548af3c4e046f51","observation_id":"88f3f248-ea57-4d89-9d92-e95014d12c94","resolution":{"observed_at":"2026-08-07T12:33:29.074348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:30.218438Z","title":"Decoding visual neural representations by multimodal learning of brain-visual-linguistic features","venue":null,"work_id":"1232caf5-607c-40a5-9f6a-4f1fa01feb7a","year":2023},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:24.754635Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:854a740b0547a9d5958c6575d04bb1e921a5ba30e0bae989160ba62b18be7984","observation_id":"6ffb6704-50e2-4723-b7dd-1d11813dd9f7","resolution":{"observed_at":"2026-08-07T12:33:30.374229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:25.134827Z","title":"Mamba: Linear- time sequence modeling with selective state spaces","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.134827Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:72d4d35c4a443af23f966bfd8df5e39569df841503150bca0e46593cc01a306f","observation_id":"2a9ddb1d-73b1-4319-a0db-1094f596464e","resolution":{"observed_at":"2026-08-07T12:33:25.134827Z","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":"2026-08-07T12:33:29.667487Z","title":"Engemann, Daniel Strohmeier, Christian Brodbeck, Roman Goj, Mainak Jas, Teon Brooks, Lauri Parkkonen, and Matti S","venue":null,"work_id":"894be1ad-c7ad-44b6-81c6-dba7558e5a11","year":2013},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.035952Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:e22cf3f233d031a41bef1cdf04f0609aefb44548d57f9798b0198f72ca4d4ea6","observation_id":"3c0bf93d-5add-44c2-ae56-bf73fc05c8df","resolution":{"observed_at":"2026-08-07T12:33:29.729075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:29.509103Z","title":"Things: A database of 1,854 object concepts and more than 26,000 naturalistic object images","venue":null,"work_id":"dfe80a30-6d2b-4bb3-9cda-c761190ea994","year":2019},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.344605Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:b17270401a0a019745e5a96f3ed1ed9fb26064b1fc1aa58ea60de942ca164217","observation_id":"e0a3f9b0-e4ed-454c-8f48-a95005dc2909","resolution":{"observed_at":"2026-08-07T12:33:29.586945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:30.798344Z","title":"Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding","venue":null,"work_id":"bfbfe524-9229-4cc8-9c1f-99d3daf23c17","year":2023},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:24.290442Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:ea2e4392835af941744e5e06e45ed48ddb2864af3fa9a7873bf59ab186e671de","observation_id":"684ed6d1-be12-4e4b-836d-b5497102ced7","resolution":{"observed_at":"2026-08-07T12:33:30.966702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:25.446767Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:25.446767Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:ef01b4d651fe77da7d3e3c2c2d117ce4069b3d0ff484a7649119da3c6049b13c","observation_id":"2652dd8b-bc81-4439-baf6-0e305dfb3da1","resolution":{"observed_at":"2026-08-07T12:33:25.446767Z","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":"2026-08-07T12:33:24.681263Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:24.681263Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:618b987d034c1ba6d0197c41baa671668ab1467e64d9f99176de73628a8979d6","observation_id":"6ef85dd2-9b46-45e3-88ef-a3a791bfcbc8","resolution":{"observed_at":"2026-08-07T12:33:24.681263Z","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":"2026-08-07T12:33:28.867073Z","title":"Adversarial diffusion distillation","venue":null,"work_id":"26dfb46c-daff-45ea-89fc-0ed00cc5f1b3","year":2025},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.200684Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:d4760c0447e834637cb2e48c53532293aa69f06cd7e5ee5e38f57362f22a165e","observation_id":"db4ee2c1-c0d1-481c-8c9f-9fa2e52944bb","resolution":{"observed_at":"2026-08-07T12:33:28.936638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:29.793303Z","title":"Gen- erative adversarial nets","venue":null,"work_id":"52ce10ab-1bfe-4845-9cb1-efdeea33c42d","year":2014},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:24.964408Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:41a1d05d89e93e9a23f79915cb6ce3e6969a7161eaba3f1b6c04a10abf10da83","observation_id":"b9977027-eaf5-4dc0-b45f-b04de4165397","resolution":{"observed_at":"2026-08-07T12:33:29.919253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:31.202063Z","title":"A high-performance seizure detection algorithm based on discrete wavelet transform (dwt) and eeg","venue":null,"work_id":"937a1231-4a5b-4fdb-bdad-b15f61a9c35d","year":2017},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:24.206757Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:b33852f10ffa609873fbac6ce4b60de677f8b2d4b8955ef6ae4fd636b7631769","observation_id":"fd066109-4d54-4053-8b09-e86278b9d7e1","resolution":{"observed_at":"2026-08-07T12:33:31.427283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:30.517712Z","title":"Uses of complex wavelets in deep convolutional neural networks","venue":null,"work_id":"c5377dbe-583b-4e19-aac4-0fb4770e6d1c","year":2020},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:24.579832Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:c57e6abb165baeca6fcf3c2db78154930bba54b1f2fa750c0c75afc4f95ff062","observation_id":"ce109c77-1005-4177-a412-ec3ab70c9094","resolution":{"observed_at":"2026-08-07T12:33:30.641876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:33:28.701670Z","title":"Deep learning with convolutional neural networks for eeg decoding and visualization","venue":null,"work_id":"231fda7a-e2bb-4d7a-a965-2f502301dc71","year":2017},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:26.287761Z"},"links":{"citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:512daeb6198d3d0f13712711208ee5dc708b074bcd3649d541fb4df6a514993b","observation_id":"699a1adc-f222-4e0c-9525-804e845ce0ae","resolution":{"observed_at":"2026-08-07T12:33:28.771588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T03:30:21.213264Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":3,"verified_fuzzy":20},"total_outbound_references":36},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2505.24301."}