Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transformer Dynamics: A neuroscientific approach to interpretability of large language models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.12131.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T17:18:48.467880Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T02:38:35.899177Z
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 01c0ca09-42ff-4c1f-9dd9-2516a431498e · inbound
Identity as Attractor: Geometric Evidence for Persistent Agent Architecture in LLM Activation Space cites this paper.
Identity as Attractor: Geometric Evidence for Persistent Agent Architecture in LLM Activation Space Transformer Dynamics: A neuroscientific approach to interpretability of large language models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:26:01.708868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cd15ccd1-ded0-419b-9989-bc888f0a4a33 · inbound
Dynamics of the Transformer Residual Stream: Coupling Spectral Geometry to Network Topology cites this paper.
Dynamics of the Transformer Residual Stream: Coupling Spectral Geometry to Network Topology Transformer Dynamics: A neuroscientific approach to interpretability of large language models
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:38:35.903497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6c7d9b7b-acdd-4df4-bb8b-42cb9ba56a58 · inbound
An Analysis of Residual-Stream Geometry Across Transformer Depth cites this paper.
An Analysis of Residual-Stream Geometry Across Transformer Depth Transformer Dynamics: A neuroscientific approach to interpretability of large language models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T17:18:48.467880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.