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Paper Citation Record · LEDGER

Interpreting Bias in Large Language Models: A Feature-Based Approach

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.12347.

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

pith.paper-citation-record.v1
2406.12347 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:13:18.626848Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T12:13:21.871403Z

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 d18a9a1e-ae54-49ad-95ad-42e3b8f0955e · inbound

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race cites this paper.

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race Interpreting Bias in Large Language Models: A Feature-Based Approach

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:13:21.933327Z

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.

source=arxiv_source observed=2026-08-07T12:13:18.626848Z digest=sha256:e1f7ed5f78d45ba31e1963ef86b1b7d5d0e14c1ee087775e97432d491fe6da76

Observation f5192ad6-599f-412c-8d58-0d48776bb6ed · inbound

Analysing Moral Bias in Finetuned LLMs through Mechanistic Interpretability cites this paper.

Analysing Moral Bias in Finetuned LLMs through Mechanistic Interpretability Interpreting Bias in Large Language Models: A Feature-Based Approach

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T10:04:07.765256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:04:07.765256Z digest=sha256:359a82adf4a66d1edcc5c58099696452490f01632583209a236c2614ae5f0730