Paper Citation Record · LEDGER

MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.05282.

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

pith.paper-citation-record.v1
2411.05282 v4

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:00:43.115660Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T19:33:38.239807Z

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 306b0f65-2fc9-4a38-9c69-efae8dc54106 · inbound

AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations cites this paper.

AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:33:38.278280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7a5a8fbe-fc6e-4d69-b6fb-9d317c4f8d65 · inbound

FGMP: Fine-Grained Mixed-Precision Weight and Activation Quantization for Hardware-Accelerated LLM Inference cites this paper.

FGMP: Fine-Grained Mixed-Precision Weight and Activation Quantization for Hardware-Accelerated LLM Inference MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:43.115660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2250370-b668-487f-bbe1-dd0c694b9875 · inbound

Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator cites this paper.

Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:39.854178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec503421-352a-4d09-8596-a8b3835216ae · inbound

DSTAR: Accelerating Diffusion Transformers via Spatial and Temporal Redundancy Reduction cites this paper.

DSTAR: Accelerating Diffusion Transformers via Spatial and Temporal Redundancy Reduction MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T22:14:37.163414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.