Paper Citation Record · LEDGER

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics

As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2508.15883.

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

pith.paper-citation-record.v1
2508.15883 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:49:22.238810Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

32 of 32 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a796a09-6ac6-4560-b0f5-aa94e820e8e9 · outbound

This paper cites Anatomy and physiology of the digestive tract of drosophila melanogaster,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Anatomy and physiology of the digestive tract of drosophila melanogaster,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:27.154120Z

Source-reported events for the cited work

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Observation b79dcff0-8ff4-41c6-823c-09e0fb04f3ef · outbound

This paper cites Intestinal stem cell response to injury: lessons from drosophila,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Intestinal stem cell response to injury: lessons from drosophila,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:27.031711Z

Source-reported events for the cited work

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Observation a780dc8b-96b2-4d04-bf95-02d5dc24fd25 · outbound

This paper cites Intestinal stem cell function in drosophila and mice,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Intestinal stem cell function in drosophila and mice,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:26.876720Z

Source-reported events for the cited work

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Observation 6fbc001c-3f49-4e2f-bb36-510838f75e84 · outbound

This paper cites Deep-learning–enabled spatial frequency domain imaging of the spatiotemporal dynamics of skin physiology,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Deep-learning–enabled spatial frequency domain imaging of the spatiotemporal dynamics of skin physiology,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:26.716720Z

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Observation 97bf9b7f-6bef-4243-ac7e-e4bb2fe6baf5 · outbound

This paper cites Deep learning quantification of vascular pharmacokinetic parameters in mouse brain tumor models,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Deep learning quantification of vascular pharmacokinetic parameters in mouse brain tumor models,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:26.542347Z

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Observation 1d1d4fec-0b12-4745-b5af-72d736315eec · outbound

This paper cites Using dropout based active learning and surrogate models in the inverse viscoelastic parameter identification of human brain tissue,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Using dropout based active learning and surrogate models in the inverse viscoelastic parameter identification of human brain tissue,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:26.325202Z

Source-reported events for the cited work

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Observation ad98ddc5-4448-479f-896f-fa243538b951 · outbound

This paper cites Predicting 3d soft tissue dynamics from 2d imaging using physics informed neural networks,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Predicting 3d soft tissue dynamics from 2d imaging using physics informed neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:26.163309Z

Source-reported events for the cited work

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Observation 25ca32e2-a7e0-45ac-bd64-58bd977ecb96 · outbound

This paper cites Crnn-refined spatiotemporal transformer for dynamic mri reconstruction,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Crnn-refined spatiotemporal transformer for dynamic mri reconstruction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.990543Z

Source-reported events for the cited work

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Observation fd5369fe-c8cb-4e3a-8be6-ee636b59e1cb · outbound

This paper cites Self-supervision advances morphological profiling by unlocking powerful image representations,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Self-supervision advances morphological profiling by unlocking powerful image representations,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.817183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 670b1182-9e0e-4de1-96a4-7a9466762ffc · outbound

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

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 10

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Source-reported events for the cited work

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Observation 4242ea50-0684-4ef3-b25e-14a2dae9035d · outbound

This paper cites Do vision transformers see like con- volutional neural networks?.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Do vision transformers see like con- volutional neural networks?

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.659140Z

Source-reported events for the cited work

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Observation ee09c47f-42f1-46a7-ab90-184b0ee31dac · outbound

This paper cites Pytorch image models,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Pytorch image models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.527680Z

Source-reported events for the cited work

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Observation 2420eadc-9622-4d0f-8d1a-3501a675a63a · outbound

This paper cites Emerging properties in self- supervised vision transformers,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Emerging properties in self- supervised vision transformers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.363504Z

Source-reported events for the cited work

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Observation ab60661b-5f94-4664-a346-37d0bf1977c7 · outbound

This paper cites VT-DTSN-Drosophila: Code and trained models,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics VT-DTSN-Drosophila: Code and trained models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.193472Z

Source-reported events for the cited work

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Observation 0ecebfe8-7763-4ec7-9383-dda5d8676eb0 · outbound

This paper cites Quantization robust pruning with knowledge distillation,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Quantization robust pruning with knowledge distillation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.030659Z

Source-reported events for the cited work

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Observation 36005266-5978-4fa6-829c-252994197729 · outbound

This paper cites PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Reference 16

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Source-reported events for the cited work

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Observation faed5b01-298a-40da-a57b-1df02448276f · outbound

This paper cites Distributed deep learning inference acceleration using seamless collaboration in edge computing,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Distributed deep learning inference acceleration using seamless collaboration in edge computing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:24.796206Z

Source-reported events for the cited work

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Observation 76bf77d3-962b-49b8-be5e-721e2ea4a115 · outbound

This paper cites La- conic deep learning inference acceleration,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics La- conic deep learning inference acceleration,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:24.590760Z

Source-reported events for the cited work

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Observation 475ab001-acfd-43f3-877b-ae2d2fb196d6 · outbound

This paper cites Layered gradient accumulation and modular pipeline parallelism: fast and efficient training of large language models.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Layered gradient accumulation and modular pipeline parallelism: fast and efficient training of large language models

Reference 19

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Observation e112cefb-ffe2-4faa-9c91-31f183e38fb1 · outbound

This paper cites End-to-end multiple instance learning with gradient accumulation,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics End-to-end multiple instance learning with gradient accumulation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:24.399248Z

Source-reported events for the cited work

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Observation b3546967-d9f2-48a7-982b-dac843f1be2b · outbound

This paper cites Scheduling techniques for liver segmentation: Reducelronplateau vs onecyclelr,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Scheduling techniques for liver segmentation: Reducelronplateau vs onecyclelr,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:24.193848Z

Source-reported events for the cited work

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Observation bfb97e40-e0e4-46f1-b726-b54933d1f440 · outbound

This paper cites Improving model selection by nonconvergent methods,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Improving model selection by nonconvergent methods,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:23.983326Z

Source-reported events for the cited work

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Observation a630bf27-66e6-480e-b083-db11e324245d · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Dropout: A simple way to prevent neural networks from overfitting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:23.757063Z

Source-reported events for the cited work

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Observation b8baf5d2-d6df-46e2-96d2-5c752bc65d59 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Adam: A Method for Stochastic Optimization

Reference 24

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Source-reported events for the cited work

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Observation 484afb3e-7b5c-49cf-8884-bf54ce953753 · outbound

This paper cites Mean square error,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Mean square error,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:23.351517Z

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Observation a2465bbe-4570-476b-a66e-1aa89eef2154 · outbound

This paper cites Mean squared error,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Mean squared error,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:23.173842Z

Source-reported events for the cited work

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Observation 863b6234-7eac-4671-8aa6-a879f9f6de95 · outbound

This paper cites Understanding SSIM.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Understanding SSIM

Reference 27

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Observation cdf39b2f-b560-4068-8378-30e59a312901 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Image quality assessment: from error visibility to structural similarity,

Reference 28

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Observation e075c6bc-0b15-4c34-b96d-54c607b62245 · outbound

This paper cites Structural similarity index (ssim) revisited: A data-driven approach,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Structural similarity index (ssim) revisited: A data-driven approach,

Reference 29

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Observation 34496844-200c-4e5b-a7b7-0f11ef1642cc · outbound

This paper cites Structural similarity index family for image quality assessment in radiological images,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Structural similarity index family for image quality assessment in radiological images,

Reference 30

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Observation ca79f618-a88b-4fe3-8e63-be02dc46879c · outbound

This paper cites Learning similarity with cosine similarity ensemble,.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Learning similarity with cosine similarity ensemble,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:22.512400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e709484e-9324-480e-b770-14436a626b2e · outbound

This paper cites Available: http://jmlr.org/papers/v15/srivastava14a.html.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Available: http://jmlr.org/papers/v15/srivastava14a.html

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:23.590271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.