Paper Citation Record · LEDGER

Multi-View Learning with Context-Guided Receptance for Image Denoising

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2505.02705.

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

pith.paper-citation-record.v1
2505.02705 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:47:30.380910Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy25
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec18decb-5954-4eca-8d06-0d969538011c · outbound

This paper cites A high-quality denoising dataset for smartphone cameras.

Multi-View Learning with Context-Guided Receptance for Image Denoising A high-quality denoising dataset for smartphone cameras

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:31.050765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a4bb3f01-db55-4b74-9f19-2a0b63abcd21 · outbound

This paper cites Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction.

Multi-View Learning with Context-Guided Receptance for Image Denoising Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:31.034593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd31d5a5-d44b-4368-af90-42477f2ee4b5 · outbound

This paper cites Pre-trained image processing transformer.

Multi-View Learning with Context-Guided Receptance for Image Denoising Pre-trained image processing transformer

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:31.017613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81b338c5-8dc8-489c-bcb2-5ef4f89317cb · outbound

This paper cites Image denoising by sparse 3-d transform-domain collaborative filtering.

Multi-View Learning with Context-Guided Receptance for Image Denoising Image denoising by sparse 3-d transform-domain collaborative filtering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:31.003193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 05fd05ce-cbbe-4c4b-ae40-2fc38c007f1b · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Multi-View Learning with Context-Guided Receptance for Image Denoising Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.212791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fabf7953-b5ac-4f52-8237-6bedb343218a · outbound

This paper cites Scaling up your kernels to 31x31: Revisiting large kernel design in cnns.

Multi-View Learning with Context-Guided Receptance for Image Denoising Scaling up your kernels to 31x31: Revisiting large kernel design in cnns

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.986129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4c59603-d374-4b0d-a8ac-44e009f74fbf · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Multi-View Learning with Context-Guided Receptance for Image Denoising An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.222991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b3adb6-f797-4985-a17d-11a1a6b4510b · outbound

This paper cites Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures.

Multi-View Learning with Context-Guided Receptance for Image Denoising Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.227411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cda2cc9-8407-440e-bd32-bcf642328c2e · outbound

This paper cites Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models.

Multi-View Learning with Context-Guided Receptance for Image Denoising Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.233439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c9fba5-74c0-4737-ae3f-8a31c3fcf121 · outbound

This paper cites Toward convolutional blind denoising of real photographs.

Multi-View Learning with Context-Guided Receptance for Image Denoising Toward convolutional blind denoising of real photographs

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.970309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62526170-f71e-48bd-83c6-323eb82e24ea · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model.

Multi-View Learning with Context-Guided Receptance for Image Denoising Mambair: A simple baseline for image restoration with state-space model

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.952427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 95b8818f-fbbf-44c6-bf31-62a275043cd7 · outbound

This paper cites Single image haze removal using dark channel prior.

Multi-View Learning with Context-Guided Receptance for Image Denoising Single image haze removal using dark channel prior

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.932426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5501188-c390-48dd-97f3-d9cc89f897c2 · outbound

This paper cites Single image super-resolution from transformed self-exemplars.

Multi-View Learning with Context-Guided Receptance for Image Denoising Single image super-resolution from transformed self-exemplars

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.916532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b76f1e03-45d5-4e60-82e4-ab9258a79109 · outbound

This paper cites LinFormer: A Linear-based Lightweight Transformer Architecture For Time-Aware MIMO Channel Prediction.

Multi-View Learning with Context-Guided Receptance for Image Denoising LinFormer: A Linear-based Lightweight Transformer Architecture For Time-Aware MIMO Channel Prediction

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:47:30.518210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2db75b96-ef19-4bea-a227-3ec6c6fe0fd1 · outbound

This paper cites Noise2void-learning denoising from single noisy images.

Multi-View Learning with Context-Guided Receptance for Image Denoising Noise2void-learning denoising from single noisy images

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.900776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f59ec6f-ff03-4532-8a69-b08d6d68ca13 · outbound

This paper cites Image denoising based on a variable spatially exponent pde.

Multi-View Learning with Context-Guided Receptance for Image Denoising Image denoising based on a variable spatially exponent pde

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.882613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81bd1b06-b65a-4ee8-b87a-039c6db114bd · outbound

This paper cites Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network.

Multi-View Learning with Context-Guided Receptance for Image Denoising Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.865592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07d2cd3c-3af6-454d-bc41-f353567507ea · outbound

This paper cites Swinir: Image restoration using swin transformer.

Multi-View Learning with Context-Guided Receptance for Image Denoising Swinir: Image restoration using swin transformer

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.845639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d47176bc-2177-4691-a633-0254261dac14 · outbound

This paper cites VMamba: Visual State Space Model.

Multi-View Learning with Context-Guided Receptance for Image Denoising VMamba: Visual State Space Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.287350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483e9219-bbef-43dd-ac39-3d66436396db · outbound

This paper cites A holistic approach to cross-channel image noise modeling and its application to image denoising.

Multi-View Learning with Context-Guided Receptance for Image Denoising A holistic approach to cross-channel image noise modeling and its application to image denoising

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.829890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a10cc9f-86ee-4d68-a66a-7c6ea1cda53b · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Multi-View Learning with Context-Guided Receptance for Image Denoising RWKV: Reinventing RNNs for the Transformer Era

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.298867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 951a8def-f9d9-47aa-8ea7-c226f773b3da · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Multi-View Learning with Context-Guided Receptance for Image Denoising U-net: Convolutional networks for biomedical image segmentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.812792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b5d2ee5-0863-415b-94f2-80d81b05c5c6 · outbound

This paper cites Non-local neural networks.

Multi-View Learning with Context-Guided Receptance for Image Denoising Non-local neural networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.786548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb582f62-9939-44e5-bdb2-6d30625d4f77 · outbound

This paper cites Blind2unblind: Self-supervised image denoising with visible blind spots.

Multi-View Learning with Context-Guided Receptance for Image Denoising Blind2unblind: Self-supervised image denoising with visible blind spots

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.765813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a80057b7-4ffd-42ee-b07b-4f5939737662 · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration.

Multi-View Learning with Context-Guided Receptance for Image Denoising Uformer: A general u-shaped transformer for image restoration

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.747850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e39a64e-29fc-4cdf-b196-033705638ce1 · outbound

This paper cites Lg-bpn: Local and global blind-patch network for self-supervised real-world denoising.

Multi-View Learning with Context-Guided Receptance for Image Denoising Lg-bpn: Local and global blind-patch network for self-supervised real-world denoising

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.728242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b8a1397-415c-48f6-81a1-0a45e553bd1b · outbound

This paper cites Random shuffle transformer for image restoration.

Multi-View Learning with Context-Guided Receptance for Image Denoising Random shuffle transformer for image restoration

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.710700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e518d0c-236c-460b-9c01-c61567bd4d0b · outbound

This paper cites Real-world Noisy Image Denoising: A New Benchmark.

Multi-View Learning with Context-Guided Receptance for Image Denoising Real-world Noisy Image Denoising: A New Benchmark

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.331665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 987687f2-1dfd-4090-a63a-c91c0f50c4cb · outbound

This paper cites Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV.

Multi-View Learning with Context-Guided Receptance for Image Denoising Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.336785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30c0c60-9bee-421c-a599-8f8e6d0fa70a · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

Multi-View Learning with Context-Guided Receptance for Image Denoising Restormer: Efficient transformer for high-resolution image restoration

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.341768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa03476-0cab-4e23-9536-97e846f653e0 · outbound

This paper cites An Attention Free Transformer.

Multi-View Learning with Context-Guided Receptance for Image Denoising An Attention Free Transformer

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.346585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e80d398b-632d-4470-b3b8-7185eefbdfba · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.

Multi-View Learning with Context-Guided Receptance for Image Denoising Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.682178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 749405e6-e136-45ec-9cb1-cf8b00e30ed5 · outbound

This paper cites Practical blind image denoising via swin-conv-unet and data synthesis.

Multi-View Learning with Context-Guided Receptance for Image Denoising Practical blind image denoising via swin-conv-unet and data synthesis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.662546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3906e350-ba4e-4e07-97e1-ca7b098fb11f · outbound

This paper cites Mixed noise removal in hyperspectral image via low-fibered-rank regularization.

Multi-View Learning with Context-Guided Receptance for Image Denoising Mixed noise removal in hyperspectral image via low-fibered-rank regularization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.646133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5bbbc4ee-f151-4358-bd77-ce5cb746e091 · outbound

This paper cites Bsbp-rwkv: Background suppression with boundary preservation for efficient medical image segmentation.

Multi-View Learning with Context-Guided Receptance for Image Denoising Bsbp-rwkv: Background suppression with boundary preservation for efficient medical image segmentation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.630263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 87e2ffee-93c9-4de5-89cc-fe54e550f411 · outbound

This paper cites When awgn-based denoiser meets real noises.

Multi-View Learning with Context-Guided Receptance for Image Denoising When awgn-based denoiser meets real noises

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:47:30.612504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e780f5a-6cdd-42d4-9edd-bad6988517b2 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Multi-View Learning with Context-Guided Receptance for Image Denoising Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.375843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d16d7645-5271-4b07-8138-37f665492293 · outbound

This paper cites write newline.

Multi-View Learning with Context-Guided Receptance for Image Denoising write newline

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T00:47:30.380910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.