Paper Citation Record · LEDGER

Compressing Large Language Models using Low Rank and Low Precision Decomposition

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.18886.

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

pith.paper-citation-record.v1
2405.18886 v2

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 2026-08-07T11:20:43.149426Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7da6e152-8ad4-4cea-ac32-69c7dc5cf007 · inbound

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations cites this paper.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Compressing Large Language Models using Low Rank and Low Precision Decomposition

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:43.149426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7cc1034-a6d6-4036-bc85-fa35fd6a9907 · inbound

On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization cites this paper.

On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization Compressing Large Language Models using Low Rank and Low Precision Decomposition

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T18:07:17.680950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b24e3611-12d8-4704-a2db-70d60ead3a6b · inbound

On the transferability of Sparse Autoencoders for interpreting compressed models cites this paper.

On the transferability of Sparse Autoencoders for interpreting compressed models Compressing Large Language Models using Low Rank and Low Precision Decomposition

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T15:24:45.783003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c9189af-1abb-46b4-a642-9bd527f4b9f1 · inbound

SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices cites this paper.

SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices Compressing Large Language Models using Low Rank and Low Precision Decomposition

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-27T22:11:20.850073Z

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.