Paper Citation Record · LEDGER

Confidence Regulation Neurons in Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.16254.

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

pith.paper-citation-record.v1
2406.16254 v2

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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:42:38.682175Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:20.528051Z

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 2e1aadc2-ef43-40d2-bb67-bee403627c86 · inbound

Understanding Gated Neurons in Transformers from Their Input-Output Functionality cites this paper.

Understanding Gated Neurons in Transformers from Their Input-Output Functionality Confidence Regulation Neurons in Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:38.682175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a41a79c-d3f2-494b-bef6-e251be332513 · inbound

Transformers Don't Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and the Implications for Mechanistic Interpretability cites this paper.

Transformers Don't Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and the Implications for Mechanistic Interpretability Confidence Regulation Neurons in Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:17.531668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8150dc0c-33b9-4c23-9361-49ad712db6fa · inbound

Sparse Neuron Ablation Triggers Catastrophic Collapse of the Language Core in Large Vision-Language Models cites this paper.

Sparse Neuron Ablation Triggers Catastrophic Collapse of the Language Core in Large Vision-Language Models Confidence Regulation Neurons in Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:51.334726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e638226e-12f7-480a-a680-6bbbcc72d526 · inbound

Selective Neuron Amplification in Transformer Language Models cites this paper.

Selective Neuron Amplification in Transformer Language Models Confidence Regulation Neurons in Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:25:52.349744Z

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.

Observation f63b4b0f-bf02-4e86-8f6d-341f40fcba0a · inbound

Selective Neuron Amplification in Transformer Language Models cites this paper.

Selective Neuron Amplification in Transformer Language Models Confidence Regulation Neurons in Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:25.127486Z

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.

Observation 247f3563-6ac9-4318-801b-5dc957ddef0a · inbound

Massive Activations Are Architecturally Robust: A Controlled Scratch/Commitment Residual Stream Test cites this paper.

Massive Activations Are Architecturally Robust: A Controlled Scratch/Commitment Residual Stream Test Confidence Regulation Neurons in Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.530088Z

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.