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Paper Citation Record · LEDGER

Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.16385.

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

pith.paper-citation-record.v1
2404.16385 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:05:31.136572Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:58:39.609930Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 83f2b66d-d841-4626-aa43-f14b898abd45 · inbound

Detecting and Evaluating Medical Hallucinations in Large Vision Language Models cites this paper.

Detecting and Evaluating Medical Hallucinations in Large Vision Language Models Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:58:39.613058Z

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.

source=pdf_text observed=2026-05-23T23:55:57.103971Z digest=sha256:507d388a4650f3e7bc12c78398e1a5031bafc1207d1b5a2510caa904e52c335d

Observation e4c5f54b-065b-4e55-90b1-ae750dadce33 · inbound

Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification cites this paper.

Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T22:05:31.136572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:05:31.136572Z digest=sha256:798adfc5a974870d8c780a3b0ce234a51d537403df20ac9113e7318c847fc383

Observation 0002c63b-3c2d-4667-bf9c-5cf2356ea29f · inbound

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning cites this paper.

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models

Reference 96

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:01:09.457633Z

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.

source=arxiv_source observed=2026-05-10T17:19:59.247074Z digest=sha256:8ed530ab8a714663bad5f003025bc8134042cb7504d9a06335f91573353ab99d