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Paper Citation Record · LEDGER

The Fair Language Model Paradox

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:29:44.621693Z

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 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.

source=pdf_text observed=2026-08-06T17:29:44.621693Z digest=sha256:26e37f15a57368f81e3eb09b96d0b7133a24a28957ac25dc56890a7635747571

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T08:33:38.253156Z digest=sha256:22c280528d9d87e95e6769cd82f406e752f9d3ae644943c8ef9f3cb1f3d5e2bb

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T01:48:12.958931Z digest=sha256:e42363fd3f9b702c2840f63a06736171e7b0d197d4c4ab7685710e705a289c6f