Paper Citation Record · LEDGER

Category-aware EEG image generation based on wavelet transform and contrast semantic loss

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2505.24301.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.24301 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:33:27.113288Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T12:13:09.435308Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T19:30:07.357934Z

Reference resolution

36 of 36 outbound references displayed

verified exact3
verified fuzzy20
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f66f14a6-949b-4ec1-a133-897b709c8fea · outbound

This paper cites DreamDiffusion: Generating High-Quality Images from Brain EEG Signals.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss DreamDiffusion: Generating High-Quality Images from Brain EEG Signals

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:24.159653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2360b6b-8014-4089-9747-0f495713654d · outbound

This paper cites NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:24.409514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db9398eb-7702-48e1-b60f-782ca6e26276 · outbound

This paper cites A large and rich eeg dataset for modeling human visual object recognition.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss A large and rich eeg dataset for modeling human visual object recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:30.081088Z

Source-reported events for the cited work

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Observation cb61fc0b-5082-4013-9e36-ad604afac6b8 · outbound

This paper cites Deep residual learning for image recog- nition.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Deep residual learning for image recog- nition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:25.272768Z

Source-reported events for the cited work

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Observation 72d87460-0469-48c0-9820-1708b35cb01d · outbound

This paper cites Brain2image: Converting brain signals into images.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Brain2image: Converting brain signals into images

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:29.495285Z

Source-reported events for the cited work

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Observation 3100723e-9a54-42d8-8fc8-799479d87621 · outbound

This paper cites Auto-Encoding Variational Bayes.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Auto-Encoding Variational Bayes

Reference 16

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Source-reported events for the cited work

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Observation 2e312f3b-05b4-41e8-b813-172ff5552fe7 · outbound

This paper cites InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:33:27.821096Z

Source-reported events for the cited work

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Observation 4371811b-ac23-4557-a227-54fa8c01dc97 · outbound

This paper cites Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion

Reference 18

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Source-reported events for the cited work

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Observation 98095df1-4388-4df4-9d37-c0cd145fad4d · outbound

This paper cites A convnet for the 2020s.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss A convnet for the 2020s

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:29.327029Z

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Observation 8a4df94d-dc3b-4ad9-8365-0d255135723e · outbound

This paper cites Wordnet: a lexical database for english.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Wordnet: a lexical database for english

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:29.188988Z

Source-reported events for the cited work

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Observation 080c31fc-9462-408e-92f8-00e11b218e1c · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:26.014743Z

Source-reported events for the cited work

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Observation 499d56d6-7122-4d21-9c70-67786ea3174e · outbound

This paper cites Learning transferable visual models from nat- ural language supervision.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Learning transferable visual models from nat- ural language supervision

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:26.096868Z

Source-reported events for the cited work

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Observation 565fb632-7a8f-4d41-924b-77bb6473e35f · outbound

This paper cites Deep image reconstruc- tion from human brain activity.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Deep image reconstruc- tion from human brain activity

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:28.632282Z

Source-reported events for the cited work

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Observation 4604caf8-3f30-4184-9717-a7393ba2928e · outbound

This paper cites Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:26.398492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2def9b28-be38-4156-9c5d-d9405e2ea908 · outbound

This paper cites Eeg conformer: Con- volutional transformer for eeg decoding and visualization.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Eeg conformer: Con- volutional transformer for eeg decoding and visualization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:28.518516Z

Source-reported events for the cited work

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Observation de946667-4328-4747-bcfe-dc8d28245690 · outbound

This paper cites Decoding Natural Images from EEG for Object Recognition.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Decoding Natural Images from EEG for Object Recognition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:26.509016Z

Source-reported events for the cited work

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Observation 04299e9e-5731-4f10-bcf8-2a78a00e084f · outbound

This paper cites High-resolution image reconstruction with latent diffusion models from human brain activity.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss High-resolution image reconstruction with latent diffusion models from human brain activity

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:28.406815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 066da5b0-907f-412a-b225-b75e831414a5 · outbound

This paper cites Verb semantics and lexical selection.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Verb semantics and lexical selection

Reference 31

Resolution: verified exact; raw_fallback, observed 2026-08-07T12:33:27.629815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4d3ae86-02fe-433d-bcfa-7c821975e8e6 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:26.867349Z

Source-reported events for the cited work

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Observation 5f194616-dc41-427f-a28b-6d240b93c880 · outbound

This paper cites Wet-unet: Wavelet integrated efficient transformer networks for nasopharyngeal carcinoma tumor segmen- tation.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Wet-unet: Wavelet integrated efficient transformer networks for nasopharyngeal carcinoma tumor segmen- tation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:28.162410Z

Source-reported events for the cited work

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Observation 75d0b69a-9718-4888-a0c2-e2e2a6126633 · outbound

This paper cites Texture-preserving diffusion model for cbct-to-ct synthesis.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Texture-preserving diffusion model for cbct-to-ct synthesis

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:28.025813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bacbf421-d5aa-43d3-8941-456401fa5ade · outbound

This paper cites EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:33:27.309797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c16107b-952b-4983-a84c-b78c80bdd240 · outbound

This paper cites The survey of image gen- eration from eeg signals based on deep learning.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss The survey of image gen- eration from eeg signals based on deep learning

Reference 1994

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:28.276854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88f3f248-ea57-4d89-9d92-e95014d12c94 · outbound

This paper cites Automatic detection of epilep- tic seizures in eeg using discrete wavelet transform and approximate entropy.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Automatic detection of epilep- tic seizures in eeg using discrete wavelet transform and approximate entropy

Reference 1995

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:29.074348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ffb6704-50e2-4723-b7dd-1d11813dd9f7 · outbound

This paper cites Decoding visual neural representations by multimodal learning of brain-visual-linguistic features.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Decoding visual neural representations by multimodal learning of brain-visual-linguistic features

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:30.374229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a9ddb1d-73b1-4319-a0db-1094f596464e · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 2013

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Source-reported events for the cited work

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Observation 3c0bf93d-5add-44c2-ae56-bf73fc05c8df · outbound

This paper cites Engemann, Daniel Strohmeier, Christian Brodbeck, Roman Goj, Mainak Jas, Teon Brooks, Lauri Parkkonen, and Matti S.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Engemann, Daniel Strohmeier, Christian Brodbeck, Roman Goj, Mainak Jas, Teon Brooks, Lauri Parkkonen, and Matti S

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:29.729075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e0a3f9b0-e4ed-454c-8f48-a95005dc2909 · outbound

This paper cites Things: A database of 1,854 object concepts and more than 26,000 naturalistic object images.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Things: A database of 1,854 object concepts and more than 26,000 naturalistic object images

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:29.586945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 684ed6d1-be12-4e4b-836d-b5497102ced7 · outbound

This paper cites Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:30.966702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2652dd8b-bc81-4439-baf6-0e305dfb3da1 · outbound

This paper cites Denoising diffusion probabilistic models.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Denoising diffusion probabilistic models

Reference 2019

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Source-reported events for the cited work

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Observation 6ef85dd2-9b46-45e3-88ef-a3a791bfcbc8 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Imagenet: A large-scale hierarchical image database

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:24.681263Z

Source-reported events for the cited work

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Observation db4ee2c1-c0d1-481c-8c9f-9fa2e52944bb · outbound

This paper cites Adversarial diffusion distillation.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Adversarial diffusion distillation

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:28.936638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9977027-eaf5-4dc0-b45f-b04de4165397 · outbound

This paper cites Gen- erative adversarial nets.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Gen- erative adversarial nets

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:29.919253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd066109-4d54-4053-8b09-e86278b9d7e1 · outbound

This paper cites A high-performance seizure detection algorithm based on discrete wavelet transform (dwt) and eeg.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss A high-performance seizure detection algorithm based on discrete wavelet transform (dwt) and eeg

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:31.427283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce109c77-1005-4177-a412-ec3ab70c9094 · outbound

This paper cites Uses of complex wavelets in deep convolutional neural networks.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Uses of complex wavelets in deep convolutional neural networks

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:30.641876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 699a1adc-f222-4e0c-9525-804e845ce0ae · outbound

This paper cites Deep learning with convolutional neural networks for eeg decoding and visualization.

Category-aware EEG image generation based on wavelet transform and contrast semantic loss Deep learning with convolutional neural networks for eeg decoding and visualization

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:33:28.771588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 9ab333f2-a1a0-4f42-a88f-eb5bc9224297 · inbound

What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment cites this paper.

What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment Category-aware EEG image generation based on wavelet transform and contrast semantic loss

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:07.359638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb739334-96f8-46cb-87b5-86c8c87678ed · inbound

What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment cites this paper.

What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment Category-aware EEG image generation based on wavelet transform and contrast semantic loss

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T12:13:09.435308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.