Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.03032.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:06.626592Z
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 ddfb11d5-5e35-48ce-a91a-85dc7bfd7db5 · inbound
FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Dataset Dependencies cites this paper.
FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Dataset Dependencies Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:06.626592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99c2055d-f6ed-4653-a0f4-30634d1cf8bd · inbound
Cross-Layer Discrete Concept Discovery for Interpreting Language Models cites this paper.
Cross-Layer Discrete Concept Discovery for Interpreting Language Models Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:03:04.984298Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9504ce52-0529-4479-a0d4-d0e2c48eabff · inbound
Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders cites this paper.
Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T10:40:49.821238Z
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.