Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Toward a Flexible Framework for Linear Representation Hypothesis Using Maximum Likelihood Estimation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.16385.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:32:52.380240Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T15:06:17.999095Z
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 32f9ef7e-93fc-4fe0-ba37-01b304e1c422 · inbound
Patches of Nonlinearity: Instruction Vectors in Large Language Models cites this paper.
Patches of Nonlinearity: Instruction Vectors in Large Language Models Toward a Flexible Framework for Linear Representation Hypothesis Using Maximum Likelihood Estimation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:32:52.380240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0b1452e-30ec-4d8d-8616-3f82683da557 · inbound
The Cylindrical Representation Hypothesis for Language Model Steering cites this paper.
The Cylindrical Representation Hypothesis for Language Model Steering Toward a Flexible Framework for Linear Representation Hypothesis Using Maximum Likelihood Estimation
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:15:09.227166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8d6fc394-2615-41fe-afdb-9dc0ff8bb575 · inbound
Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning cites this paper.
Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning Toward a Flexible Framework for Linear Representation Hypothesis Using Maximum Likelihood Estimation
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T15:06:18.000935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.