Paper Citation Record · LEDGER

SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.09615.

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

pith.paper-citation-record.v1
2410.09615 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:26:51.634894Z

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

0
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 dcee6e71-dd51-4cc2-bfbd-e1c7fc08b8a8 · inbound

PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint cites this paper.

PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T17:22:08.957747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b99dbbf8-fcf6-4637-a5c2-bc813505de04 · inbound

Vanishing Contributions: A Unified Framework for Smooth and Iterative Model Compression cites this paper.

Vanishing Contributions: A Unified Framework for Smooth and Iterative Model Compression SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:41:08.099099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3425db89-3c3e-4de9-a759-b2d70be90f30 · inbound

Scaling Video Understanding via Compact Latent Multi-Agent Collaboration cites this paper.

Scaling Video Understanding via Compact Latent Multi-Agent Collaboration SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:09.422077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8ea7d0e-14f6-4f51-ad70-807ae529d5cf · inbound

RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models cites this paper.

RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:54.691777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0bf62d11-22e9-4b53-9004-2f239fe0d07d · inbound

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks cites this paper.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T06:57:39.854675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0169f28-116a-4918-bb90-a3924ce3dbd9 · inbound

SoftWater: Class-Aware Rate Allocation for Softmax Quantization cites this paper.

SoftWater: Class-Aware Rate Allocation for Softmax Quantization SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T00:26:51.634894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.