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Paper Citation Record · LEDGER

Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.03605.

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

pith.paper-citation-record.v1
2404.03605 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:44:48.453946Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T02:23:52.753081Z

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 66eb65f4-4be3-4c6e-bfd7-b0d519b51c49 · inbound

QuEST: Stable Training of LLMs with 1-Bit Weights and Activations cites this paper.

QuEST: Stable Training of LLMs with 1-Bit Weights and Activations Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T20:44:48.453946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:44:48.453946Z digest=sha256:5ae35d3899cca3043ea2869a6e2efb07b78f741a9177a9cdd91e53f5b80e8e76

Observation af7eab10-dba9-414d-b441-8c4cdfbe98f2 · inbound

Systematic Outliers in Large Language Models cites this paper.

Systematic Outliers in Large Language Models Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T15:37:37.499961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:37:37.499961Z digest=sha256:8a4991fa7acaf1629b829107a71e9aca52c94dee1c39bcfb3db28ec833be3b40

Observation 1eabd452-370b-430c-924e-e12ba898c7e7 · inbound

Scaling Law for Quantization-Aware Training cites this paper.

Scaling Law for Quantization-Aware Training Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:07.875870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:41:07.875870Z digest=sha256:53c5dcf81755367c60eeb5a5ff6dc418a34d746a3434038cb06599fe460d8001

Observation 4c2f5fde-58dc-4487-8b00-df59ce45ca8e · inbound

Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling cites this paper.

Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:23:52.756137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T02:23:01.845123Z digest=sha256:1cba819ae7f376af819725064f1fbe42b9f26cf23058c5a5c497960d335331e6

Observation b1f3a281-2d17-4a2a-a66c-2cb5a069e11e · inbound

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay cites this paper.

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:56:07.850150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T14:24:54.946996Z digest=sha256:f55556af0b219620b576ef9222001aa232b332f76a4b58ef445f7563ec1acd2d