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Paper Citation Record · LEDGER

A Tighter Complexity Analysis of SparseGPT

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.12151.

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

pith.paper-citation-record.v1
2408.12151 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:39:14.218063Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:11:04.208435Z

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 f816a0f7-fdc7-481b-8c16-48e05711d445 · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers A Tighter Complexity Analysis of SparseGPT

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T16:39:14.218063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:39:14.218063Z digest=sha256:9a93c9470c2879cd9c552c7a36bae282db438b65a05deb5ba168ddfcea9dfd11

Observation 526a9e26-0eb2-4d0d-8877-990071229060 · inbound

Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse cites this paper.

Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse A Tighter Complexity Analysis of SparseGPT

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:11:04.312562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:11:01.006242Z digest=sha256:5e2c081c137c6e8a7182f0b5eca86520f5468f0e47b0ddbc7665714c8da33551