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Paper Citation Record · LEDGER

NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.12024.

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

pith.paper-citation-record.v1
2202.12024 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:50:41.343562Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:22:57.891189Z

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 fea1cb15-da40-4042-82f2-da607cb15551 · inbound

Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework cites this paper.

Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T19:50:41.343562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:41.343562Z digest=sha256:655cb65e56f6426de576a4585ba88640f8645b50c4aab415590c7364c54c14cb

Observation d6aa2094-8eb7-4f58-959b-64153de167a2 · inbound

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection cites this paper.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:22:57.897001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.615540Z digest=sha256:1196e7279f3058fce5ffc755058bc4dd774e5239a4aa51785218bee0b1771713