Paper Citation Record · LEDGER

The Fair Language Model Paradox

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.11985.

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

pith.paper-citation-record.v1
2410.11985 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:08:57.442425Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:46:57.376473Z

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 70fa3916-a3f1-40c6-a62e-f33dbdbb5e3c · inbound

A Lightweight Method to Disrupt Memorized Sequences in LLM cites this paper.

A Lightweight Method to Disrupt Memorized Sequences in LLM The Fair Language Model Paradox

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T20:08:57.442425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61627ff2-bca3-406a-839b-1aa87d9d6734 · inbound

LLMs on Trial: Evaluating Judicial Fairness for Large Language Models cites this paper.

LLMs on Trial: Evaluating Judicial Fairness for Large Language Models The Fair Language Model Paradox

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:29:44.621693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ee82ed-86be-40f6-869d-509b2fda11ff · inbound

Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models cites this paper.

Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models The Fair Language Model Paradox

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:38:10.487090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b6d92ae-cca8-4cdc-bcda-78563347f413 · inbound

Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discovery cites this paper.

Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discovery The Fair Language Model Paradox

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:57.377972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.