Paper Citation Record · LEDGER

Xray-Visual Models: Scaling Vision models on Industry Scale Data

As of 14 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2602.16918.

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

pith.paper-citation-record.v1
2602.16918 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:26:00.495364Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy0
unresolved33
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b508cec-537d-41dd-8a86-794fba215770 · outbound

This paper cites Symbolic Discovery of Optimization Algorithms.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Symbolic Discovery of Optimization Algorithms

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.349439Z

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Unavailable: canonical work link unavailable.

Observation 861bfd8e-0120-4558-bb20-82a55f20ac88 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.434888Z

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Observation e0fc1917-471d-412f-96ca-d39244f146d2 · outbound

This paper cites Deconstructing Denoising Diffusion Models for Self-Supervised Learning.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.514036Z

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Observation 5cc71124-0f00-41db-97c1-36ec5518baa5 · outbound

This paper cites Meta CLIP 2: A Worldwide Scaling Recipe.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Meta CLIP 2: A Worldwide Scaling Recipe

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.596814Z

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Observation c1b7200c-2e27-405f-97c9-d69808dc5286 · outbound

This paper cites Vision Transformers Need Registers.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Vision Transformers Need Registers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.680370Z

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Observation d7e408fc-18e5-4f02-b520-14d1d29dcb93 · outbound

This paper cites Improving CLIP Training with Language Rewrites.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Improving CLIP Training with Language Rewrites

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.763379Z

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Observation b594624c-d56b-4114-b2bf-95085c3e3573 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Xray-Visual Models: Scaling Vision models on Industry Scale Data SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.846646Z

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Observation f5676fdd-2261-48a0-a90d-caa06f22b53e · outbound

This paper cites The Llama 3 Herd of Models.

Xray-Visual Models: Scaling Vision models on Industry Scale Data The Llama 3 Herd of Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.929501Z

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Observation 699fa30a-6d82-4273-ade3-3ced50b5e6ed · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Xray-Visual Models: Scaling Vision models on Industry Scale Data LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.074234Z

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Observation 504cca27-18fb-4424-a97a-6feb7e8edbbc · outbound

This paper cites The Kinetics Human Action Video Dataset.

Xray-Visual Models: Scaling Vision models on Industry Scale Data The Kinetics Human Action Video Dataset

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.149510Z

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Observation 01c48d91-fe66-4049-8a96-885d6737b0ab · outbound

This paper cites an unresolved cited work.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.314447Z

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Observation 95340127-4d20-444d-9118-4f8ce75c5177 · outbound

This paper cites Exploring the Limits of Weakly Supervised Pretraining.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Exploring the Limits of Weakly Supervised Pretraining

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.397561Z

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Observation f6fa7d81-3589-4fe0-a5cf-6eeadcac4002 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Xray-Visual Models: Scaling Vision models on Industry Scale Data DINOv2: Learning Robust Visual Features without Supervision

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.478503Z

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Observation 696c96a6-75cc-40bf-b530-93bb54c9f38a · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

Xray-Visual Models: Scaling Vision models on Industry Scale Data LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.535987Z

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Observation 3dbfe0ee-661d-4a8a-9b15-41a9782eab60 · outbound

This paper cites Adafactor: Adaptive Learning Rates with Sublinear Memory Cost.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.611339Z

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Observation a4cc25f9-992f-4ba6-9599-89d16fb03e88 · outbound

This paper cites DINOv3.

Xray-Visual Models: Scaling Vision models on Industry Scale Data DINOv3

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.691930Z

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Observation b55b2978-a860-4702-a0b5-39b37c7870e3 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Xray-Visual Models: Scaling Vision models on Industry Scale Data RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.752258Z

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Observation 9e0582b5-d228-4703-97d3-dc1607de51c5 · outbound

This paper cites Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.821475Z

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Observation bbc80d26-e53f-4a8a-aa16-25f31f6abe37 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Xray-Visual Models: Scaling Vision models on Industry Scale Data LLaMA: Open and Efficient Foundation Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.878103Z

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Observation db195f75-9445-4edb-8d16-bd3c9152f423 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Xray-Visual Models: Scaling Vision models on Industry Scale Data SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.954000Z

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Observation a03cbcfc-fb3c-4eed-b62c-572431ca23dc · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Representation Learning with Contrastive Predictive Coding

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T22:26:00.039076Z

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Unavailable: canonical work link unavailable.

Observation 0966b5a3-9fd4-4390-aa95-823c9abd1975 · outbound

This paper cites Demystifying CLIP Data.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Demystifying CLIP Data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T22:26:00.202547Z

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Unavailable: canonical work link unavailable.

Observation 1a317e63-dab9-481c-8136-3d3b0d18d5e5 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 5288–5296,.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Msr-vtt: A large video description dataset for bridging video and language.2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 5288–5296,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T22:26:00.317594Z

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Observation 4b902530-fcc4-4c89-8711-732db56544e2 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Deep Residual Learning for Image Recognition

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.015365Z

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Observation e4a64b7c-4877-4d2d-9b1b-2d934359eb4f · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Xray-Visual Models: Scaling Vision models on Industry Scale Data InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-02T22:26:00.495364Z

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Observation f5522b7c-7839-4be4-8dce-a74a5544fd79 · outbound

This paper cites Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, and Zhe Gan.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, and Zhe Gan

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.269295Z

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Unavailable: canonical work link unavailable.

Observation 1e7d7fe6-1d9e-4aab-9d44-46a5177bd1ac · outbound

This paper cites LocCa: Visual Pretraining with Location-aware Captioners.

Xray-Visual Models: Scaling Vision models on Industry Scale Data LocCa: Visual Pretraining with Location-aware Captioners

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-02T22:26:00.121160Z

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Observation 77d81c88-65f5-4b27-a17a-116f7dfc034f · outbound

This paper cites Language Models are Few-Shot Learners.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.087918Z

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Observation eebaee77-cf9e-4e9c-b509-705411c184e5 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Quo vadis, action recognition? a new model and the kinetics dataset

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.185292Z

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Observation bc6b390b-0fa7-4974-ba07-ac700ebf8f6d · outbound

This paper cites Improving fine-grained understanding in image-text pre-training.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Improving fine-grained understanding in image-text pre-training

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:57.884381Z

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Observation 67e131ad-0a4e-46a9-9c23-526340582a32 · outbound

This paper cites Poggio, and Thomas Serre.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Poggio, and Thomas Serre

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:59.231880Z

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Observation 3a5f23d3-fca3-48fc-bbbe-f97a1817f0e2 · outbound

This paper cites Token Merging: Your ViT But Faster.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Token Merging: Your ViT But Faster

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:57.964997Z

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Observation 8ca2d4af-bf68-4a7a-b8bf-f51fae9b828e · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Xray-Visual Models: Scaling Vision models on Industry Scale Data V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:57.827119Z

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Pith citing papers

No inbound Pith citation observations are available.