Paper Citation Record · LEDGER

The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2504.10462.

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

pith.paper-citation-record.v1
2504.10462 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:49:27.833950Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:28.015082Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a3172c1e-ea2e-428d-96a7-4e2d469dff55 · inbound

Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training cites this paper.

Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:27.833950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97348b64-4114-4889-9a2a-b871dc941f75 · inbound

Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models cites this paper.

Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:21:39.804522Z

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 cb0a40c4-3a26-4ea0-bf95-5f2fffdf4283 · inbound

VGR: Visual Grounded Reasoning cites this paper.

VGR: Visual Grounded Reasoning The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:12:14.474028Z

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 8e3d7bf0-8038-4b4e-9817-32ed004715e8 · inbound

SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement cites this paper.

SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:05.867758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42056ed7-d647-444e-86bf-c2139b686188 · inbound

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models cites this paper.

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:19:28.552429Z

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 9299fd8b-3ac9-4be1-b289-3704a39184a0 · inbound

Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning cites this paper.

Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

Reference 75

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T06:18:05.174455Z

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 d3dcd580-27df-4fee-9729-3b3de8ca34c9 · inbound

From Pixels to Words -- Towards Native One-Vision Models at Scale cites this paper.

From Pixels to Words -- Towards Native One-Vision Models at Scale The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:33:28.016525Z

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 458afbc7-108a-4f0e-9017-244ed6609077 · inbound

MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language Generalization cites this paper.

MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language Generalization The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T10:32:21.339189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.