Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.14155.
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 2026-08-07T14:53:09.683027Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T16:25:50.043151Z
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 5d8db8db-7228-48f7-88e7-8394bafb3514 · inbound
Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads cites this paper.
Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:53:09.683027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68bada16-5c1d-49b1-8681-b2f73cdbfbc8 · inbound
What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs cites this paper.
What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T16:25:50.044562Z
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.