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Paper Citation Record · LEDGER

Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.09627.

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

pith.paper-citation-record.v1
2311.09627 v2

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:42:07.692533Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T11:42:08.139989Z

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 fec0b0f7-f9cf-4c53-b0e6-b3a9515be053 · inbound

Breaking Down Bias: On The Limits of Generalizable Pruning Strategies cites this paper.

Breaking Down Bias: On The Limits of Generalizable Pruning Strategies Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-08T11:42:08.145561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T11:42:07.692533Z digest=sha256:87c54e3e7207b588c82ddf2698cf2c8ed170e91cbfd870eea71174b8ffdc543f

Observation 5ce7a6dc-d4ab-4a7a-91d2-fb2c5abb9945 · inbound

DeFrame: Debiasing Large Language Models Against Framing Effects cites this paper.

DeFrame: Debiasing Large Language Models Against Framing Effects Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-03T04:43:50.055393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:43:50.055393Z digest=sha256:17aafb7d580b32aed21188183302e6007100baae8ec40d36c758f31ed2008ec5