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Paper Citation Record · LEDGER

Problematic Tokens: Tokenizer Bias in Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.11214.

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

pith.paper-citation-record.v1
2406.11214 v3

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:45:39.972131Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:36:29.160481Z

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 4a9efb7f-ed78-4a4b-8df4-a759e902b31b · inbound

AI Reasoning Models for Problem Solving in Physics cites this paper.

AI Reasoning Models for Problem Solving in Physics Problematic Tokens: Tokenizer Bias in Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T14:45:39.972131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:45:39.972131Z digest=sha256:007403d567e3fadda19ecbbd1655bed0cf5075783e207ddc87b7fe6f04ea751f

Observation daccf9ec-9873-4498-94a3-b761c17004b8 · inbound

Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models cites this paper.

Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models Problematic Tokens: Tokenizer Bias in Large Language Models

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:36:29.172693Z

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=2026-05-12T04:05:28.713898Z digest=sha256:efeb492cd9a7261849bc2aa8b3a7f75eb9127402a2dfbf79a3c0d67be1533f26

Observation 416f59f5-e88e-4b3c-b5aa-147e8f31ad84 · inbound

Evaluating LLMs as Interpretable Controllers for Dynamical Systems cites this paper.

Evaluating LLMs as Interpretable Controllers for Dynamical Systems Problematic Tokens: Tokenizer Bias in Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T11:18:27.840198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:18:27.840198Z digest=sha256:f81f11ec6b556976887707cb439075eb06606fbe79f91c3685f9780559ff2169