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Paper Citation Record · LEDGER

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising

As of 4 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2604.04484.

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

pith.paper-citation-record.v1
2604.04484 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:53:34.980603Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 3c9b047c-c7a6-42b8-aae1-1a558c365925 · outbound

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

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising A high-quality denoising dataset for smartphone cameras

Reference 1

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Source-reported events for the cited work

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Observation 83e71d98-831e-4758-a86d-a8941924c294 · outbound

This paper cites Noise2self: Blind denoising by self-supervision.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Noise2self: Blind denoising by self-supervision

Reference 2

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Observation c7966b19-44f6-44c7-930c-42cae7073b3b · outbound

This paper cites A non-local algorithm for image denoising.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising A non-local algorithm for image denoising

Reference 3

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Source-reported events for the cited work

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Observation 2be80ee2-a1e9-49ec-b27a-94c9fa5e810a · outbound

This paper cites Image blind denoising with generative adversarial net- work based noise modeling.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Image blind denoising with generative adversarial net- work based noise modeling

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 07ef619f-fccb-4282-a8e5-495fcf56b445 · outbound

This paper cites Exploring efficient asymmetric blind-spots for self- supervised denoising in real-world scenarios.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Exploring efficient asymmetric blind-spots for self- supervised denoising in real-world scenarios

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 840f2196-0ddf-4124-993e-4e0cb0be87d6 · outbound

This paper cites Image denoising by sparse 3-d transform- domain collaborative filtering.IEEE Transactions on image processing, 16(8):2080–2095.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Image denoising by sparse 3-d transform- domain collaborative filtering.IEEE Transactions on image processing, 16(8):2080–2095

Reference 6

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Observation 7d93c656-fc06-49f6-ab00-40d73da1034d · outbound

This paper cites Real-world mobile image denoising dataset with efficient baselines.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Real-world mobile image denoising dataset with efficient baselines

Reference 7

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 85d2b656-3252-4752-aa81-4fa933e605dd · outbound

This paper cites srgb real noise synthesizing with neighboring correlation-aware noise model.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising srgb real noise synthesizing with neighboring correlation-aware noise model

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 969bd29a-fff5-4881-af53-0cb481af80f7 · outbound

This paper cites Weighted nuclear norm minimization with applica- tion to image denoising.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Weighted nuclear norm minimization with applica- tion to image denoising

Reference 9

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Observation acf5e294-da08-4062-b6e5-06abe6714705 · outbound

This paper cites Gunturk, Y.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Gunturk, Y

Reference 10

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Observation 4861d97b-cc5e-49d5-99ce-662a7b11aae8 · outbound

This paper cites Toward convolutional blind denoising of real pho- tographs.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Toward convolutional blind denoising of real pho- tographs

Reference 11

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9754a884-7c6e-4e0f-9c31-b0bd74b59fd5 · outbound

This paper cites Neighbor2neighbor: Self-supervised de- noising from single noisy images.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Neighbor2neighbor: Self-supervised de- noising from single noisy images

Reference 12

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Observation 470338fa-aff2-440f-886c-8c946465f9a3 · outbound

This paper cites C2n: Practical generative noise modeling for real-world denoising.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising C2n: Practical generative noise modeling for real-world denoising

Reference 13

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Source-reported events for the cited work

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Observation 6c322915-cd9f-4205-8862-e3e8b63cb1f1 · outbound

This paper cites Puca: patch-unshuffle and chan- nel attention for enhanced self-supervised image denoising.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Puca: patch-unshuffle and chan- nel attention for enhanced self-supervised image denoising

Reference 14

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Observation 3f648d0a-bd07-4b2a-b111-89ff37996d4b · outbound

This paper cites Self-supervised image denoising with down- sampled invariance loss and conditional blind-spot network.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Self-supervised image denoising with down- sampled invariance loss and conditional blind-spot network

Reference 15

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 22f9e541-9c43-40e3-acb6-d19af164a8da · outbound

This paper cites Apr-rd: Complemental two steps for self-supervised real image denoising.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Apr-rd: Complemental two steps for self-supervised real image denoising

Reference 16

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Observation 5a9a5589-424b-4742-bd94-66d24fcb99a5 · outbound

This paper cites Kingma and Jimmy Ba.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Kingma and Jimmy Ba

Reference 17

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Observation 1621227a-4678-48cf-b4f7-aebaf9475f25 · outbound

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

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Noise2void-learning denoising from single noisy images

Reference 18

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Source-reported events for the cited work

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Observation 533ea3c5-80a5-4f6b-9250-72e175a28c4c · outbound

This paper cites High-quality self-supervised deep image denoising.Ad- vances in neural information processing systems, 32.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising High-quality self-supervised deep image denoising.Ad- vances in neural information processing systems, 32

Reference 19

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Observation 26e4382b-8b88-41ab-9d1a-1e6a9ddd0071 · outbound

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

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Ap- bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 1f20da62-30c1-4d57-9067-cc1dcf32b960 · outbound

This paper cites Noise2Noise: Learning Image Restoration without Clean Data.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Noise2Noise: Learning Image Restoration without Clean Data

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation af41f67e-a868-4f0c-ba1b-7602ce4ade10 · outbound

This paper cites Spatially adaptive self- supervised learning for real-world image denoising.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Spatially adaptive self- supervised learning for real-world image denoising

Reference 22

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2e3dcc1c-6ec8-4f6a-a314-bf532b658805 · outbound

This paper cites Rethink- ing transformer-based blind-spot network for self-supervised image denoising.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Rethink- ing transformer-based blind-spot network for self-supervised image denoising

Reference 23

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c5044ec6-7dc5-4363-91a9-173dccc6a4d8 · outbound

This paper cites Understanding the effective receptive field in deep convolu- tional neural networks.Advances in neural information pro- cessing systems, 29.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Understanding the effective receptive field in deep convolu- tional neural networks.Advances in neural information pro- cessing systems, 29

Reference 24

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2296aa88-eee2-4187-a829-22c1b2afe236 · outbound

This paper cites Noise2noiseflow: Realistic camera noise modeling without clean images.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Noise2noiseflow: Realistic camera noise modeling without clean images

Reference 25

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8f4af3a0-88d4-4426-b332-b45a3bc500aa · outbound

This paper cites High- quality linear interpolation for demosaicing of bayer- patterned color images.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising High- quality linear interpolation for demosaicing of bayer- patterned color images

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation f8450fc8-18cc-484c-8b20-d3e6fbc01a79 · outbound

This paper cites Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections.Advances in neu- ral information processing systems, 29.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections.Advances in neu- ral information processing systems, 29

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation efb799a5-77ca-4827-94d4-8de7561330e6 · outbound

This paper cites Cvf-sid: Cyclic multi-variate func- tion for self-supervised image denoising by disentangling noise from image.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Cvf-sid: Cyclic multi-variate func- tion for self-supervised image denoising by disentangling noise from image

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 65393faf-e856-4ba6-88c0-8425b2a08f81 · outbound

This paper cites Random sub-samples generation for self- supervised real image denoising.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Random sub-samples generation for self- supervised real image denoising

Reference 29

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 79f0d4c7-8d55-4eba-baf6-e7f30865ac1a · outbound

This paper cites Benchmarking denoising algorithms with real photographs.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Benchmarking denoising algorithms with real photographs

Reference 30

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d299c912-55f9-490d-91ab-bfe3b050ec61 · outbound

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

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising U- net: Convolutional networks for biomedical image segmen- tation

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation aabcc467-b760-495f-9d51-07be6fbc12e7 · outbound

This paper cites Nonlinear total variation based noise removal algorithms.Physica D: nonlinear phenomena, 60(1-4):259–268.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Nonlinear total variation based noise removal algorithms.Physica D: nonlinear phenomena, 60(1-4):259–268

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.062451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:f709652d2be52dc4a6873823c7324eb67979ca12f6a6e10152c25786958ee5ef

Observation a2a6c8df-841d-4d14-ab19-2d9604be608b · outbound

This paper cites Variational deep image restoration.IEEE Transactions on Image Processing, 31: 4363–4376.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Variational deep image restoration.IEEE Transactions on Image Processing, 31: 4363–4376

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.058251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:87a1d3b67ba94015d439c54f70e540245b52478427344612a826c77a5cc68c85

Observation a5d113c6-3b66-437c-8570-c23a1d28ff47 · outbound

This paper cites Mem- net: A persistent memory network for image restoration.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Mem- net: A persistent memory network for image restoration

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.071006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:aa0b0bc9c62f32cffd752b1a756bd99c174f484b1973dd7f29adef120d26e3db

Observation e94518f7-46f6-496e-a074-7c2bf8597b30 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.107910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:84f88ed1cb26f77fff9ad66c77a4e451bcd894ec95f76090f029997c05337116

Observation c811a195-350c-4513-adbb-d3610881d923 · outbound

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

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Lg-bpn: Local and global blind-patch network for self-supervised real-world denoising

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.155671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:131a5a86cc6f14fc32b89dbf5761f6323e8a84e12f59e1be52f842fc6416d485

Observation d1d8b9c1-33b4-4eab-a321-91b4ac9df0fe · outbound

This paper cites Primary-consistent soft- decision color demosaicking for digital cameras (patent pending).IEEE Transactions on Image Processing, 13(9): 1263–1274.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Primary-consistent soft- decision color demosaicking for digital cameras (patent pending).IEEE Transactions on Image Processing, 13(9): 1263–1274

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.165506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:a5ba4c508dea35e7549f3ffb4b42296e0e37eb26c175e9cebf8c5955ab71cf39

Observation 02812ce7-973b-466b-99b0-7e56b26ee9e9 · outbound

This paper cites Unpaired learning of deep image denoising.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Unpaired learning of deep image denoising

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.141921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:ba68a77e9bfd0e688cdcc21dcb7e4b43b85966d2a3e885affc1df99d7a09cd5b

Observation 2841e57e-e922-4af6-9516-5fdc3876e92a · outbound

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

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Real-world Noisy Image Denoising: A New Benchmark

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:25:50.934632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:45fa3277f5d26349a683e45e2bf03585fe4bcedc1a5d8835a4720c552b6eeb89

Observation 1ead9970-66c1-42fa-a2cd-db50fa5e141f · outbound

This paper cites Variational denoising network: Toward blind noise modeling and removal.Advances in neural information processing systems, 32.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Variational denoising network: Toward blind noise modeling and removal.Advances in neural information processing systems, 32

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.169716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:062de71d9d3f521af785ebef0a3bcae979d153b828303f6f779c320815cea2b5

Observation 19b91eb0-43d1-4bac-adab-fb71b258492a · outbound

This paper cites Cycleisp: Real image restoration via improved data synthesis.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Cycleisp: Real image restoration via improved data synthesis

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.041588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:3b48baa7d067280355ca4c4e72a4d250efc9b7b8df13c081cb90f68e1dafb386

Observation 7f3c72e6-26d3-48ea-b6e8-d2b92de62a30 · outbound

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

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Restormer: Efficient transformer for high-resolution image restoration

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.029162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:dfe69effad079d0c5b35b7c301b6d444dd8421dd302343b09b3d52ac932b7b25

Observation fa0fe6d8-80e3-4df4-a5fd-713dd31740a6 · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.IEEE transactions on image processing, 26(7):3142–3155.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.IEEE transactions on image processing, 26(7):3142–3155

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.146337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:f592225f8b919cfe9f3ab4d1c2166e20ac3526f2951afcb075088dd56df8aa63

Observation 7a6e9d62-3147-4be8-b69d-3985c1776d4a · outbound

This paper cites Ffdnet: Toward a fast and flexible solution for cnn-based image denoising.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Ffdnet: Toward a fast and flexible solution for cnn-based image denoising

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.034108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:6a98ed204bc3ba0438447631ab52e080a3a75983d413da01955e13e57c79e051

Observation d9044661-6da0-4722-a7e0-b809c3c24223 · outbound

This paper cites Color demosaicking via di- rectional linear minimum mean square-error estimation.

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising Color demosaicking via di- rectional linear minimum mean square-error estimation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.045506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:8f2da4ce23003411982697bb6935b8d3791f187b9d7d00034630e4d2bb8af8f6

Observation 0fe07495-2c95-4de1-8e83-c83393dfc6b5 · outbound

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

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising When awgn-based denoiser meets real noises

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T03:32:15.023790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:53:34.980603Z digest=sha256:65bd1fac365e2bd986507bc39d37e4d22263fedc06f172f8248b61d415da9547

Pith citing papers

No inbound Pith citation observations are available.