Paper Citation Record · LEDGER

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 2 inbound Pith citation observations for arXiv:2504.13123.

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

pith.paper-citation-record.v1
2504.13123 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:28.185701Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:02.739280Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:39:09.371232Z

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy3
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df80247f-9dbe-4d6c-8759-a1859b2f72d9 · outbound

This paper cites GPT-4 Technical Report.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:27.999999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35ba0703-4018-4ea1-819b-dbc4735ea5ff · outbound

This paper cites an unresolved cited work.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:19:28.793655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b793377-d092-43fd-832c-35b96981fdca · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training PaLM: Scaling Language Modeling with Pathways

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.041488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53b1445a-8dd7-40c6-9a1b-e65051dd1f96 · outbound

This paper cites Write and Paint: Generative Vision-Language Models are Unified Modal Learners.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Write and Paint: Generative Vision-Language Models are Unified Modal Learners

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:19:28.569746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1c7148b0-ee69-4ad2-b3a7-cdcdbb6b9c9e · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:28.756486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 982c87cf-2d6a-4270-aa18-a6d232f17a26 · outbound

This paper cites The Llama 3 Herd of Models.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.058134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1fc6d0-4b07-4ffc-8f2d-25f315d1a5b0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.065979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dfdb7e5-e9fa-47a9-9f5e-be16e34f524f · outbound

This paper cites CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.070658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 883350f9-ef5a-48ba-a37c-fd4de2882fbc · outbound

This paper cites Visual Instruction Tuning.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Visual Instruction Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.086605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ab5fa4-0c8a-4954-84a6-01cdac79a04f · outbound

This paper cites an unresolved cited work.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:19:28.717588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd060094-ba59-480a-aef5-77476307b95d · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.101940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df753a51-f896-4d75-a577-43a4884a0720 · outbound

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

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.106999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 400eec56-5304-47d1-a992-312df3bd0b83 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.111387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 284a5f42-329e-4ffb-bbd7-4d565552ee9d · outbound

This paper cites FLAVA: A Foundational Language And Vision Alignment Model.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training FLAVA: A Foundational Language And Vision Alignment Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.122614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f2388d4-4ad5-4f52-a172-f5362daad767 · outbound

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

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training LLaMA: Open and Efficient Foundation Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.127343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac68f509-cb66-40d8-9000-f7d2aa8c660e · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:28.697173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1813411b-6ceb-48eb-b25e-a1be8ad0c85f · outbound

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

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.143671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2809b66c-517e-4068-94bf-c1d847f00f4d · outbound

This paper cites Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.148409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2427627d-fc08-415c-b78b-22deac0bb1d7 · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.153545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f33a485-a52a-49a4-a327-a3fcc13483bb · outbound

This paper cites Qwen2.5 Technical Report.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Qwen2.5 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.159366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a89139-89db-467c-8bdd-cea58f085994 · outbound

This paper cites Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.169326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f592739-6d90-468a-857f-003e5b5c2459 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.175482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a84a82e-fcc5-491b-8251-9570a7698409 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.180873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2cc7478-edd2-461d-8a31-25c568c76904 · outbound

This paper cites an unresolved cited work.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:19:28.679701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8888dba3-c773-4b41-916d-3092aacc2eb7 · outbound

This paper cites an unresolved cited work.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Unresolved cited work

Reference 2011

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:19:28.739448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3080e3a3-abdd-42a7-bdea-6fe2c804baa1 · outbound

This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.138230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b5fc0dc-625d-4310-acdd-c5a1d37cbf51 · outbound

This paper cites Minwoo Byeon, Beomhee Park, Haecheon Kim, Sungjun Lee, Woonhyuk Baek, and Saehoon Kim.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Minwoo Byeon, Beomhee Park, Haecheon Kim, Sungjun Lee, Woonhyuk Baek, and Saehoon Kim

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:28.774852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31d2a297-0def-479b-939f-871f9e0c4932 · outbound

This paper cites ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.034798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c67cd18-fafd-4628-869a-1946f968ed7b · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Hallucination of Multimodal Large Language Models: A Survey

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.013553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b1744e7-b6dd-42ed-bfec-f381e83df06a · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Flamingo: a Visual Language Model for Few-Shot Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.007407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d773f4-123a-4294-9cb3-a3e46099ffce · outbound

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

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training LLaVA-OneVision: Easy Visual Task Transfer

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.080863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a61a0b-f893-490b-9aff-a2210c217a17 · outbound

This paper cites GPT-4o System Card.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training GPT-4o System Card

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:28.076070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c188f1b7-3ace-4697-8ca8-53ccadd7f3ac · inbound

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey cites this paper.

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training

Reference 105

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:39:09.445066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3a734a36-931b-4707-b5bf-109b8efadd8c · inbound

CAPEval: A Decoupled Caption Evaluation across Understanding and Generation cites this paper.

CAPEval: A Decoupled Caption Evaluation across Understanding and Generation Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T04:09:52.550837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.