Paper Citation Record · LEDGER

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2604.16943.

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

pith.paper-citation-record.v1
2604.16943 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:12:16.623769Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

20 of 20 outbound references displayed

verified exact10
verified fuzzy9
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eaa92d63-5fb4-48e9-b6ff-2cb55a721c12 · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Instructblip: Towards general-purpose vision-language models with instruction tuning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:20:14.945477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 573b71ee-ea35-48bb-b188-0c73dde5c942 · outbound

This paper cites Multimodal large language models: A survey.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Multimodal large language models: A survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:20:14.937021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6e6431c-2e2f-4f34-96c3-f18df788a4f5 · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.427461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 661aa85c-4f25-4c2d-99f3-15deae39d0c1 · outbound

This paper cites Exploring Better Text Image Translation with Multimodal Codebook.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Exploring Better Text Image Translation with Multimodal Codebook

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.446018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b734d92-fc0f-44c2-8006-7c00ed20208e · outbound

This paper cites Automatic detection and translation of text from natural scenes.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Automatic detection and translation of text from natural scenes

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:20:14.940192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34170d40-a9b7-4438-9860-d6099cb9d404 · outbound

This paper cites Translatotron-V(ison): An end-to-end model for in-image machine translation.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Translatotron-V(ison): An end-to-end model for in-image machine translation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:20:14.948906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 055d1fbc-3956-47dd-b87c-4c24aef14ad0 · outbound

This paper cites Towards End-to-End In-Image Neural Machine Translation.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Towards End-to-End In-Image Neural Machine Translation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.436049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df6614d4-c203-44fe-81d3-ebd20c87eef5 · outbound

This paper cites Image translation network.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Image translation network

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:20:14.952037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0907ac0e-8eed-457c-8f03-42856b00a036 · outbound

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

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:48:40.999279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f13d4557-bb29-4696-8f52-8c33e522407a · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T21:07:32.698795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 64cdb28d-b052-4988-9eeb-bff080f4ade8 · outbound

This paper cites Qwen2.5-VL Technical Report.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Qwen2.5-VL Technical Report

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-10T09:23:37.439386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de19b0ad-7ace-4d58-9469-e0103037757e · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Finetuned Language Models Are Zero-Shot Learners

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:14:13.786069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0cea1666-a462-4ebe-81ca-c49d979914e4 · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:26:42.058060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2bc504f4-aa6b-49e2-bb2d-e946d3ca3ad4 · outbound

This paper cites E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.452774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e350dba-13cc-41db-8583-2748973f4443 · outbound

This paper cites M 2PT: Multimodal prompt tuning for zero-shot instruction learning.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation M 2PT: Multimodal prompt tuning for zero-shot instruction learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:20:14.925339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 047ce859-858b-4f24-978f-92140fa43540 · outbound

This paper cites Pruning Convolutional Neural Networks for Resource Efficient Inference.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Pruning Convolutional Neural Networks for Resource Efficient Inference

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.449194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d5e5d7c-8527-48b9-8da0-983cebe4a5ca · outbound

This paper cites Overview of the iwslt 2017 evaluation campaign.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Overview of the iwslt 2017 evaluation campaign

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:20:14.933623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da7f256d-2039-4d4f-90b2-48f46148ff10 · outbound

This paper cites PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.456021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f52da4d-e593-4746-85ed-9dec2de6af48 · outbound

This paper cites UMTIT: Unifying recognition, translation, and generation for multimodal text image translation.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation UMTIT: Unifying recognition, translation, and generation for multimodal text image translation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:20:14.921984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 835c528e-93a7-4ed8-bfb1-14f51ae5d7ed · outbound

This paper cites Document image machine translation with dynamic multi-pre-trained models assembling.

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation Document image machine translation with dynamic multi-pre-trained models assembling

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:20:14.928521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.