Paper Citation Record · LEDGER

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.02423.

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

pith.paper-citation-record.v1
2305.02423 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:47.829613Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:17:37.153053Z

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 5e9172bf-1b5a-48ba-9d83-24e4c791b0ca · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:36.831621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e6684b54-32e1-4f56-985f-f03ab16a396c · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:17.253981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e7f3c5-991d-40ca-ba5d-1272fe4a7117 · inbound

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models cites this paper.

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:47.829613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14409f8c-0099-4e02-831f-1b4a7490a59c · inbound

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning cites this paper.

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:17:37.154660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.