Paper Citation Record · LEDGER

Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2312.11420.

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

pith.paper-citation-record.v1
2312.11420 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:49:26.576798Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T15:21:44.731490Z

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 5feda48b-779a-4267-9769-14851f98127f · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

Reference 166

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:36.873198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b9c2548a-1bd4-4591-bade-9f5a0df76430 · inbound

Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification cites this paper.

Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:21:44.734777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4a33112b-6bd4-4033-a091-ec1427ed36c9 · inbound

Time Series Foundation Models for Multivariate Financial Time Series Forecasting cites this paper.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:26.576798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0b55f4-82b3-490c-8f5a-67266f026894 · inbound

Implementing Adaptations for Vision AutoRegressive Model cites this paper.

Implementing Adaptations for Vision AutoRegressive Model Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:35.096296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae76d5cd-8e71-437a-abfa-5da13c3106dc · 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 Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T22:05:31.286262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae0879ef-8a52-4c96-b84a-96fd4e54c2ca · inbound

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation cites this paper.

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-03T20:20:35.855108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85c87951-1c27-4c23-a30a-974909a0c7dc · inbound

Robust Promptable Video Object Segmentation cites this paper.

Robust Promptable Video Object Segmentation Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:29.372361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.