Paper Citation Record · LEDGER

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.08307.

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

pith.paper-citation-record.v1
2412.08307 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:03:23.250097Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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 exact1
verified fuzzy2
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30eef648-3d45-46c3-bbd2-169572f7c7c5 · outbound

This paper cites Mc-llava: Multi-concept personalized vision-language model.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Mc-llava: Multi-concept personalized vision-language model

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.436256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d76988-40d4-42ca-ba0b-88bfe23208ae · outbound

This paper cites POSIX: A Prompt Sensitivity Index For Large Language Models.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model POSIX: A Prompt Sensitivity Index For Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.469462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71b020b1-6cf7-446e-9f1e-99d3d252a245 · outbound

This paper cites BLINK: Multimodal Large Language Models Can See but Not Perceive.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model BLINK: Multimodal Large Language Models Can See but Not Perceive

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.525123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 727b169a-47e8-49b8-964d-8bbdb9b750ea · outbound

This paper cites Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.539505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74f1b90a-d998-4d21-9a53-24d00ff0a45f · outbound

This paper cites Demystifying Prompts in Language Models via Perplexity Estimation.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Demystifying Prompts in Language Models via Perplexity Estimation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.564900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f61515cc-88c9-4f50-8453-f6bab2cd4d0a · outbound

This paper cites The language of prompting: What linguistic properties make a prompt successful?.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model The language of prompting: What linguistic properties make a prompt successful?

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:03:23.497784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 38253995-78b9-43ca-8e9c-34e08fbf2b7f · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model LLaVA-OneVision: Easy Visual Task Transfer

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.698234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d211f89-446d-453c-bfb6-4df7a3a23281 · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.726488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd859e7b-4303-43e9-85be-3d014470063d · outbound

This paper cites Holistic Evaluation of Language Models.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Holistic Evaluation of Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.759469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 892510f2-451f-46b1-8d14-8e4387de93e3 · outbound

This paper cites Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.802828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d192c475-6245-427a-939c-92dcdf3f2e87 · outbound

This paper cites Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.817035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6885cc57-b432-4ad9-8749-1deb724dae92 · outbound

This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.832745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3995c41-b717-46a7-aee2-eeb732b4bd12 · outbound

This paper cites LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.848861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc2f8e6b-862c-4dd9-ad4d-c656dc517d3c · outbound

This paper cites m&m’s: A benchmark to evaluate tool-use for multi-step multi-modal tasks.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model m&m’s: A benchmark to evaluate tool-use for multi-step multi-modal tasks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:03:24.005992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 23712d74-aaa0-4c24-aca8-27258a256804 · outbound

This paper cites What makes chain-of- thought prompting effective? a counterfactual study.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model What makes chain-of- thought prompting effective? a counterfactual study

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:03:23.920333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c7d9c0ca-fa84-4fcc-9c2c-24f50449ee61 · outbound

This paper cites X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.912520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 238224de-efcc-4bbb-b2f5-8e851586d489 · outbound

This paper cites Benchmarking Prompt Sensitivity in Large Language Models.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Benchmarking Prompt Sensitivity in Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.960948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6628a6c9-03d8-42b3-a6ad-2eec363cc127 · outbound

This paper cites Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:23.086225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ace4f0e-b5ef-4ba9-9940-85c9ad3659f6 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:23.141039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f3acee-f860-4bfc-954e-be4d3b88ffb0 · outbound

This paper cites Task Me Anything.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Task Me Anything

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:23.176924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0008e30c-2ecc-4df8-85c1-79c3cc58b7b6 · outbound

This paper cites Large Language Models Are Not Robust Multiple Choice Selectors.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Large Language Models Are Not Robust Multiple Choice Selectors

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:23.211190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd150fba-9ea1-47ed-a48d-7b06b5411614 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:23.227142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44282cb8-b209-4021-acf4-b658edb810d5 · outbound

This paper cites ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:23.238535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e7bb19-ea13-4484-a973-706e8e2b0e26 · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:23.042512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f787eb87-748d-49bb-a266-288d1fe1fee5 · outbound

This paper cites What matters when building vision-language models?.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model What matters when building vision-language models?

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.645911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4215bf85-ded9-40f6-9e0c-ca1e6f48563f · outbound

This paper cites Scaling Laws for Neural Language Models.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Scaling Laws for Neural Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.621698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d106d51-ccd8-4f5b-bbf1-ab86482f5e93 · outbound

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

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model LoRA: Low-Rank Adaptation of Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.595202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b33702f-5868-41dd-891b-12eae32a2e59 · outbound

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

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.443790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d37fd50e-4050-4445-a0b4-86665cfa144d · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.501036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7344e08-9461-48d3-8f45-a6e95f959a77 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:23.010587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc73d18a-015a-4dfb-8bb4-b8101aa3fadc · outbound

This paper cites an unresolved cited work.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Unresolved cited work

Reference 3360

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:03:23.860969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.