Pith. sign in

Paper Citation Record · LEDGER

LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.14166.

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

pith.paper-citation-record.v1
2410.14166 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:57:00.156580Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T06:27:07.325583Z

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 9fc6c74a-3393-4683-a8bb-9ddcbe938fe9 · inbound

Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning cites this paper.

Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T11:57:00.156580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:57:00.156580Z digest=sha256:8ed8af5c365785bea1d609ecb8bfa6d7753448fe07480e53ffb6f97b61fc7624

Observation b6685f22-85f9-42e0-b39f-b6c827190be5 · inbound

Why Do Large Language Models (LLMs) Struggle to Count Letters? cites this paper.

Why Do Large Language Models (LLMs) Struggle to Count Letters? LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.522746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.522746Z digest=sha256:740e36d6e5e1c8fa70a4c03a7faf5a43fa1ba6f3c1604af4f462845811e3b5dc

Observation c2339f66-9530-495c-8c43-07b5a406c628 · inbound

Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models cites this paper.

Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:27:07.327376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-19T06:25:12.799097Z digest=sha256:f84d3d0254d73a6f141b297f0249e85b6d2009a676f5dfa357e642aba2eb1b74

Observation c7912f95-2d04-49df-9a25-81edb4dcc34b · inbound

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models cites this paper.

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T23:21:25.630721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:21:25.630721Z digest=sha256:7316a0699fd036372d11a8b53a97cd000727dbf2a02fb3a9adcefeedb39129f4

Observation 976f2dd7-cd3f-470a-a3fd-bf6fcc654bfe · inbound

Do AI Models Dream of Faster Code? An Empirical Study on LLM-Proposed Performance Improvements in Real-World Software cites this paper.

Do AI Models Dream of Faster Code? An Empirical Study on LLM-Proposed Performance Improvements in Real-World Software LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:41:00.433310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T06:39:42.391102Z digest=sha256:e500b235e61e65bda3b0106b08fdac25e38532eb5004f29b13c3b2d6ac1288c1