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Paper Citation Record · LEDGER

Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.07617.

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

pith.paper-citation-record.v1
2209.07617 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:55:28.396281Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:55:28.586745Z

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 16c2bbdf-84b0-487a-9093-30c22b11beb3 · inbound

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

Efficient Column-Wise N:M Pruning on RISC-V CPU Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:55:28.589647Z

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=pdf_text observed=2026-08-06T14:55:28.396281Z digest=sha256:c81d23dccfcac85744aff7db2b7a3ba682c45b893d15412f8d6245496ebcced8

Observation 98c21efa-e11d-4d5b-aa82-16d3e1bf8ecc · inbound

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

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-01T17:12:35.769810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:12:35.769810Z digest=sha256:5af2dbb2fa0e3c4e68a1db32e1bfad3b873d9cb5b701007c4d72cd0e6377ec89