Pith. sign in

Paper Citation Record · LEDGER

Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.04744.

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

pith.paper-citation-record.v1
2402.04744 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:42.859488Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 02d71e93-905a-4b71-974c-470125c9f663 · inbound

TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks cites this paper.

TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:42.859488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:46:42.859488Z digest=sha256:f93cf5c98fe7f5ec288c55b34152ebfd1fb2329153fabae7ab0ca8a3a5bf03b2

Observation 3ee1ac38-5aff-4d23-8c93-c5580fb91aad · inbound

Efficient Column-Wise N:M Pruning on RISC-V CPU cites this paper.

Efficient Column-Wise N:M Pruning on RISC-V CPU Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:28.336038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:28.336038Z digest=sha256:6754511cc95ac920213ed81545bc3d022d6e8abde4ad9032af105d7b3cda7184

Observation 0798e960-4843-403a-afec-510fafde30f7 · inbound

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference cites this paper.

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-08-01T17:14:12.239179Z

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=2026-08-01T17:12:36.315756Z digest=sha256:5ac9fc76a678e3b0acd3500c40ee0fe3d5d55a863a30b43504a126066692c5ca

Observation 30bf6e20-884a-4b73-b9c5-39b82b2665a9 · inbound

DeVIT: Low-Power Vision Transformer Acceleration Using Delta Computation cites this paper.

DeVIT: Low-Power Vision Transformer Acceleration Using Delta Computation Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T00:24:56.382575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:24:56.382575Z digest=sha256:93c2eda31d3ea2fbaf3896373ea2759c64e9eccdc0b99b96f49870fbed018092