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Paper Citation Record · LEDGER

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2209.13325.

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

pith.paper-citation-record.v1
2209.13325 v3

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:44:36.263104Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T08:29:11.300435Z

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 f305b7a1-dbcd-460d-a9ad-d2c89a255448 · inbound

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale cites this paper.

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:35:36.172858Z

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.

source=arxiv_source observed=2026-05-13T13:35:35.972596Z digest=sha256:83ded4ae876b07db1d5b877fd7081db232adda1348454aeacfa3f6a96d70c812

Observation 06816b3b-79d6-4ac4-a60b-abf797e3e0c2 · inbound

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration cites this paper.

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:29:11.305418Z

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.

source=pdf_text observed=2026-05-24T08:27:35.798991Z digest=sha256:1aa03c943e740ec00f8cef089ce3747140a25ae9fb63f183de6fa00a720bb30c

Observation 06847094-0639-4224-a1c7-7e6486e48aa4 · inbound

SpinQuant: LLM quantization with learned rotations cites this paper.

SpinQuant: LLM quantization with learned rotations Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:52:34.781921Z

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.

source=pdf_text observed=2026-05-15T15:52:34.606853Z digest=sha256:069c628663ba8b120eba8a20e6ccd640219adbc535d449afd53bfb5db08b92ff

Observation 0fcf578d-3573-4d5a-b05d-c88b03f64305 · inbound

FBQuant: FeedBack Quantization for Large Language Models cites this paper.

FBQuant: FeedBack Quantization for Large Language Models Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T14:44:36.263104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:44:36.263104Z digest=sha256:256c5b987e8e38c4a987ac67c4893d6225ac541c7948d40fd457eeca0fc08537

Observation d52ac7f0-c3b9-46d4-9e36-e0e81f44f136 · inbound

Efficient Reasoning on the Edge cites this paper.

Efficient Reasoning on the Edge Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Reference 132

Resolution
unresolved
no resolver link, observed 2026-07-13T23:28:12.790404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:28:12.790404Z digest=sha256:7ced25eb5be874cbd6455fb6c2b1b4659934185b4705cf675ab175cb0d100708

Observation 300931bd-105c-4c90-b8b4-4923f785768a · inbound

LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization cites this paper.

LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:36:01.612127Z

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.

source=pdf_text observed=2026-05-10T05:34:16.191828Z digest=sha256:b959c4c2d3998e95b46c00fc439cdd41e3ca7869d543177fff2ec746426d68f5