Paper Citation Record · LEDGER

Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2211.08682.

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

pith.paper-citation-record.v1
2211.08682 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:38:59.336862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T23:51:55.032267Z

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 00f33d86-742e-4667-b070-7e76f7bf14d0 · inbound

LLM4WM: Adapting LLM for Wireless Multi-Tasking cites this paper.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T16:38:59.336862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f363bc3c-2a52-4938-bda6-f70391085617 · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

Reference 122

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:55.958768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8919c296-60f7-4aba-9cb5-f5340d2015ae · inbound

Deepfake Detection that Generalizes Across Benchmarks cites this paper.

Deepfake Detection that Generalizes Across Benchmarks Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:51:55.035653Z

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 43b117eb-dd29-46f6-a6b6-5475cf2dbe5b · 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 Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T22:05:31.203945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f39940c-5313-47af-a1be-b82351c7d139 · inbound

The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection cites this paper.

The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:26.034694Z

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 ed97106a-f7cc-4c1b-983c-347f2da12998 · inbound

Robust Promptable Video Object Segmentation cites this paper.

Robust Promptable Video Object Segmentation Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:29.378488Z

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.