Paper Citation Record · LEDGER

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2502.06355.

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

pith.paper-citation-record.v1
2502.06355 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:45:46.182206Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:41:37.241236Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy20
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 047863be-79c3-4071-8719-f096f8fb55be · outbound

This paper cites Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text,.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.511457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b481ac32-0527-466c-bfb5-1ec656a21d18 · outbound

This paper cites Imagebind: One embedding space to bind them all,.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Imagebind: One embedding space to bind them all,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.458426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e69c759e-9c45-43be-b0f2-2f2826b2543d · outbound

This paper cites Dis- tributed learning of deep neural network over multiple agents,.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Dis- tributed learning of deep neural network over multiple agents,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.447966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation afc58a40-9189-4937-859e-37974fad4339 · outbound

This paper cites Parameter- efficient transfer learning for nlp.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Parameter- efficient transfer learning for nlp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.425705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d384fa3a-feb2-4ae9-b880-3e2ffc2774d7 · outbound

This paper cites ViT-Lens: Initiating Omni-Modal Exploration through 3D Insights.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach ViT-Lens: Initiating Omni-Modal Exploration through 3D Insights

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-08T15:45:46.270073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5538d8b-5472-42ba-9f67-dc161476ce5d · outbound

This paper cites Federated learning on non-iid data silos: An experimental study,.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Federated learning on non-iid data silos: An experimental study,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T15:45:46.123879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88d47e6a-9630-4a15-87ed-9c1a425d8649 · outbound

This paper cites Microsoft coco: Common objects in con- text.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Microsoft coco: Common objects in con- text

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.396507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6e99a235-226d-40a1-9f01-331a6e6b765e · outbound

This paper cites FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T15:45:46.135137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff2e8f44-388b-4317-aab3-d1c0534f33e9 · outbound

This paper cites Scalable aggregated split learning for data-driven edge intelligence on internet-of-things.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Scalable aggregated split learning for data-driven edge intelligence on internet-of-things

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.374599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 76c39fa3-52d1-4317-b6f7-97b9a3ded190 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from De- centralized Data.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Communication-Efficient Learning of Deep Networks from De- centralized Data

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.364187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 88096161-94a3-4b34-b601-c554372c80c6 · outbound

This paper cites Mix2sfl: Two-way mixup for scalable, accurate, and communication-efficient split federated learning.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Mix2sfl: Two-way mixup for scalable, accurate, and communication-efficient split federated learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.353629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc431f59-4408-4cbf-afad-156d1ee9d040 · outbound

This paper cites Server-side local gradient averaging and learning rate acceleration for scalable split learning,.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Server-side local gradient averaging and learning rate acceleration for scalable split learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.341856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 867ab09c-342e-4aff-97cd-37ca8eb9c915 · outbound

This paper cites Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.331970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e9e6aa05-c7d5-4b4c-b220-c5a596f52fd3 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Learning transferable visual models from natural language supervision,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.322614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c6e27adf-2f4b-4aed-96c9-94f094e9df24 · outbound

This paper cites Exploring models and data for image question answering.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Exploring models and data for image question answering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.312961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 068d5ab2-9a8a-42b7-95a8-03906bba3f95 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T15:45:46.169912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ed6be78-5418-4f27-896b-ac766681927e · outbound

This paper cites Permutation Equivariance of Transformers and Its Applications.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Permutation Equivariance of Transformers and Its Applications

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T15:45:46.177880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b28a1464-fd51-485c-b3ce-5993f5cd603c · outbound

This paper cites Meta-Transformer: A Unified Framework for Multimodal Learning.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Meta-Transformer: A Unified Framework for Multimodal Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T15:45:46.182206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2faa4c5-5bf5-4e57-9a74-ab440ff1a163 · outbound

This paper cites Cross-media learning for image sentiment analysis in the wild.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Cross-media learning for image sentiment analysis in the wild

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.302732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 203b684d-ddf3-4051-9698-06c6b2d55a2d · outbound

This paper cites Efficient par- allel split learning over resource-constrained wireless edge net- works.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Efficient par- allel split learning over resource-constrained wireless edge net- works

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.385583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 476a4860-d038-4dbb-988b-e16c8978d0a9 · outbound

This paper cites MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-08T15:45:46.158254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1919314f-7d34-4b0e-90b4-2d8e4a4a7660 · outbound

This paper cites The iot breaches your household again.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach The iot breaches your household again

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.488910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fb285ac0-c69a-48ed-af88-c8e18d841bb3 · outbound

This paper cites Accelerating federated learning with split learning on locally generated losses.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Accelerating federated learning with split learning on locally generated losses

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.436925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b61cd8e7-21e4-460c-8769-d1045fc486f5 · outbound

This paper cites Privacy-sensitive parallel split learning.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Privacy-sensitive parallel split learning

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.414118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2c380c3-b741-4d10-88a1-fe7d9271c522 · outbound

This paper cites Multi-modal align- ment using representation codebook,.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Multi-modal align- ment using representation codebook,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.478560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b483d407-0919-4b42-840a-94bbdca68a30 · outbound

This paper cites Look, listen and learn.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Look, listen and learn

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.499614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46967e75-311e-4564-ac23-cebf4f614e40 · outbound

This paper cites Split learn- ing of multi-modal medical image classification.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach Split learn- ing of multi-modal medical image classification

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:46.468989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 01a0685b-d2c9-4e6d-8743-21b5b06fdc70 · outbound

This paper cites AST: Audio Spectrogram Transformer.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach AST: Audio Spectrogram Transformer

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T15:45:46.102491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 633f2018-36aa-45ce-90cd-b1a626ebee3a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T15:45:46.087545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation aebefd0f-aadf-4d82-8629-9886ad8242a6 · inbound

AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning cites this paper.

AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:37.241236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.