Paper Citation Record · LEDGER

Uncovering Latent Chain of Thought Vectors in Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.14026.

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

pith.paper-citation-record.v1
2409.14026 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:22.389509Z

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 02064c76-1602-444d-b873-008b358aec07 · inbound

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering cites this paper.

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering Uncovering Latent Chain of Thought Vectors in Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:30:22.389509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b7980d0-6bfa-4185-b50c-b8f760cbefb4 · inbound

Activation Steering for Chain-of-Thought Compression cites this paper.

Activation Steering for Chain-of-Thought Compression Uncovering Latent Chain of Thought Vectors in Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:47.570236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52e67e09-7976-4266-84f3-7cffb33f692b · inbound

Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models cites this paper.

Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models Uncovering Latent Chain of Thought Vectors in Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:45:40.594650Z

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.

Observation 242bea42-9b0c-4cb5-a049-7ed2e177a98a · inbound

The Impact of Off-Policy Training Data on Probe Generalisation cites this paper.

The Impact of Off-Policy Training Data on Probe Generalisation Uncovering Latent Chain of Thought Vectors in Language Models

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T20:30:11.727486Z

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.

Observation cbf80d3c-742e-4332-8920-9ded7b879fc6 · inbound

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook cites this paper.

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook Uncovering Latent Chain of Thought Vectors in Language Models

Reference 295

Resolution: unresolved; no resolver link, observed 2026-07-13T14:03:01.974171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c0a5fb4-15f1-46c7-86a6-6c40a40e7206 · inbound

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization cites this paper.

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization Uncovering Latent Chain of Thought Vectors in Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:45:59.167275Z

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.

Observation 25032ed8-67d8-4ecd-be1a-889bf92dba06 · inbound

Do Linear Probes Generalize Better in Persona Coordinates? cites this paper.

Do Linear Probes Generalize Better in Persona Coordinates? Uncovering Latent Chain of Thought Vectors in Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:51:23.047600Z

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.

Observation 898e1e37-1eae-4ad3-8d08-a315de3c2b7a · inbound

Do Linear Probes Generalize Better in Persona Coordinates? cites this paper.

Do Linear Probes Generalize Better in Persona Coordinates? Uncovering Latent Chain of Thought Vectors in Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:07:40.560800Z

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.