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Paper Citation Record · LEDGER

Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.02596.

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

pith.paper-citation-record.v1
2405.02596 v1

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:33:16.547782Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:10:53.518014Z

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 bcb6d216-929c-4819-a916-c6c6a1d2d1ed · inbound

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation cites this paper.

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T17:33:16.547782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:33:16.547782Z digest=sha256:7975adbb369fec6db0f7a5e650e0a47472700308215735e932349d176f14dedf

Observation ec4b757e-afd4-495a-8ea5-439089e83354 · inbound

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization cites this paper.

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:10:53.523269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.389678Z digest=sha256:f6a40ab24f56bc7fe9391a659a354b063e8e2de441da5adff9b7ed7c5fce3525