Paper Citation Record · LEDGER

Mordal: Automated Pretrained Model Selection for Vision Language Models

As of 11 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2502.00241.

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

pith.paper-citation-record.v1
2502.00241 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:46:19.985312Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

31 of 31 outbound references displayed

verified exact0
verified fuzzy5
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bec4c05d-551a-413f-b924-54def418d6b5 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Mordal: Automated Pretrained Model Selection for Vision Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.866429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b6c6e59-e266-4d53-90de-df79d193246a · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Mordal: Automated Pretrained Model Selection for Vision Language Models FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.888073Z

Source-reported events for the cited work

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Observation 1d1fd062-0332-49d1-9a53-85ea2494422e · outbound

This paper cites The Llama 3 Herd of Models.

Mordal: Automated Pretrained Model Selection for Vision Language Models The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.892394Z

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Observation 90d6fd78-725b-4db2-89b1-4f9d1d0c4589 · outbound

This paper cites Scaling Laws for Neural Language Models.

Mordal: Automated Pretrained Model Selection for Vision Language Models Scaling Laws for Neural Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.911043Z

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Observation 35fecdfa-ef75-40bd-b19e-979db3f42ba3 · outbound

This paper cites Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models.

Mordal: Automated Pretrained Model Selection for Vision Language Models Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.914910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b077f7b-fb24-485c-a199-e9f957af083f · outbound

This paper cites Selecting Large Language Model to Fine-tune via Rectified Scaling Law.

Mordal: Automated Pretrained Model Selection for Vision Language Models Selecting Large Language Model to Fine-tune via Rectified Scaling Law

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.922978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4671bf80-a271-4821-81f0-af4a69bbef7f · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Mordal: Automated Pretrained Model Selection for Vision Language Models Improved Baselines with Visual Instruction Tuning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.926793Z

Source-reported events for the cited work

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Observation 77851c57-13ca-415b-83dd-d0019802b5d0 · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

Mordal: Automated Pretrained Model Selection for Vision Language Models ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.930509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb5187f8-49e3-4e22-bc0c-43f3a93ba8af · outbound

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

Mordal: Automated Pretrained Model Selection for Vision Language Models DINOv2: Learning Robust Visual Features without Supervision

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.938708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4b300bb-5e98-47f1-a0a1-b36ddc1f8eaf · outbound

This paper cites Observational Scaling Laws and the Predictability of Language Model Performance.

Mordal: Automated Pretrained Model Selection for Vision Language Models Observational Scaling Laws and the Predictability of Language Model Performance

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.942383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4dcb7f-4fef-44e1-a6c9-553d63dc8f8a · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Mordal: Automated Pretrained Model Selection for Vision Language Models EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.946327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd6982c-a46c-401f-bc37-e4730079990d · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Mordal: Automated Pretrained Model Selection for Vision Language Models Gemma: Open Models Based on Gemini Research and Technology

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.950152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af2ca88-3707-44b7-92dc-fe475830cd35 · outbound

This paper cites Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

Mordal: Automated Pretrained Model Selection for Vision Language Models Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.954305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ff81fba-60df-44f2-b28e-a69734d8a0e9 · outbound

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

Mordal: Automated Pretrained Model Selection for Vision Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.958360Z

Source-reported events for the cited work

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Observation eb120aa1-bdd7-46e1-8e7b-ae0afff127fa · outbound

This paper cites Exploring and Predicting Transferability across NLP Tasks.

Mordal: Automated Pretrained Model Selection for Vision Language Models Exploring and Predicting Transferability across NLP Tasks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.962287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5bed81-1076-4e7a-a157-0d6db8b74234 · outbound

This paper cites LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models.

Mordal: Automated Pretrained Model Selection for Vision Language Models LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.966277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e791b7bd-c42c-4b90-a7b5-3d88b0c99dec · outbound

This paper cites Qwen2 Technical Report.

Mordal: Automated Pretrained Model Selection for Vision Language Models Qwen2 Technical Report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.970562Z

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Observation 22a8c01b-60d0-4d79-9f99-e02db2c23309 · outbound

This paper cites LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.

Mordal: Automated Pretrained Model Selection for Vision Language Models LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.974377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142f0774-44e9-44b9-819d-b2bfd02d3b8c · outbound

This paper cites In LLM clustering, we use the last hidden state from LLM as the sentence representation for CKA computation since it produces the best clustering performance.

Mordal: Automated Pretrained Model Selection for Vision Language Models In LLM clustering, we use the last hidden state from LLM as the sentence representation for CKA computation since it produces the best clustering performance

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:46:20.307624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 28ff9466-7f85-479b-8cdd-27d94d7cb194 · outbound

This paper cites For ConvNeXt, we interpolate the output embeddings to 16x16 patches following Cambrian-1 (Tong et al., 2024).

Mordal: Automated Pretrained Model Selection for Vision Language Models For ConvNeXt, we interpolate the output embeddings to 16x16 patches following Cambrian-1 (Tong et al., 2024)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:46:20.295597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c4af7bd7-4481-45a7-b670-e16f107c9c8a · outbound

This paper cites Recently, some proprietary models have employed end-to-end training without using any pretrained models (Bai et al., 2023), but it is not common due to the excessive training cost.

Mordal: Automated Pretrained Model Selection for Vision Language Models Recently, some proprietary models have employed end-to-end training without using any pretrained models (Bai et al., 2023), but it is not common due to the excessive training cost

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:46:20.283292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 120bcc3f-5689-4384-bdf4-85e971de888b · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Mordal: Automated Pretrained Model Selection for Vision Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.871514Z

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Observation 668d5e7c-d887-45ec-9f43-82533af7dd21 · outbound

This paper cites Mistral 7B.

Mordal: Automated Pretrained Model Selection for Vision Language Models Mistral 7B

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.907772Z

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Observation 151d75c1-6967-4e2e-9896-c2c3ce5e5c38 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Mordal: Automated Pretrained Model Selection for Vision Language Models Training Compute-Optimal Large Language Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.899686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2159f985-2c93-4955-b790-4ab8a1a02c52 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Mordal: Automated Pretrained Model Selection for Vision Language Models D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:46:20.338125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 900e0c72-6566-4462-ac90-c465f7acfa5a · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Mordal: Automated Pretrained Model Selection for Vision Language Models MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.884215Z

Source-reported events for the cited work

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Observation e41a09d0-393d-49cd-9928-cbc6189312e0 · outbound

This paper cites Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth.

Mordal: Automated Pretrained Model Selection for Vision Language Models Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.934437Z

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Observation f96f9348-e38f-4fa3-a8ad-cc9a3a380e92 · outbound

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

Mordal: Automated Pretrained Model Selection for Vision Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.903358Z

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Observation a080b3f2-6cf6-4886-8c19-e4d76c9cfa33 · outbound

This paper cites PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable.

Mordal: Automated Pretrained Model Selection for Vision Language Models PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.876108Z

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Observation 0ef3e349-2caf-46ea-955a-15e8c592f249 · outbound

This paper cites A diagram is worth a dozen images.

Mordal: Automated Pretrained Model Selection for Vision Language Models A diagram is worth a dozen images

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T19:46:19.918707Z

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Observation aff61c96-329e-49e3-806c-52e4cebaa9cd · outbound

This paper cites Accessed: 2025-01-30.

Mordal: Automated Pretrained Model Selection for Vision Language Models Accessed: 2025-01-30

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:46:20.326767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.