Pith. sign in

Paper Citation Record · LEDGER

GradMAP: Faster Layer Pruning with Gradient Metric and Projection Compensation

As of 17 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2602.14649.

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

pith.paper-citation-record.v1
2602.14649 v2

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:12:07.547170Z

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97d3112d-fc35-4633-8d29-ea6e107af233 · outbound

This paper cites LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning.

GradMAP: Faster Layer Pruning with Gradient Metric and Projection Compensation LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning

Reference 2023

Resolution
malformed identifier
no resolver link, observed 2026-08-02T23:12:07.547170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:12:07.547170Z digest=sha256:496a7e02153762a2ffb3e061f1cf67ee205a1087ff313d9cab7effcb5f11ef6c

Observation f8182ef2-333a-4221-acbf-3d154c62d011 · outbound

This paper cites LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models.

GradMAP: Faster Layer Pruning with Gradient Metric and Projection Compensation LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T23:12:07.448084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:12:07.448084Z digest=sha256:c178acc6e26b49a7e5d1b6911d4397f5dc9e0ec4bd799537d4589508e1c9bcc9

Pith citing papers

No inbound Pith citation observations are available.