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Paper Citation Record · LEDGER

Large Language Models and Mathematical Reasoning Failures

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.11574.

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

pith.paper-citation-record.v1
2502.11574 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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:05.641466Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T05:50:25.862475Z

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 6c548f80-da78-4d64-bbce-bd5dea31fdf4 · inbound

ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark cites this paper.

ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark Large Language Models and Mathematical Reasoning Failures

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T13:05:05.641466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:05:05.641466Z digest=sha256:efcc34a036a8bdadf9604c6cb656a386a7627ffebd39b3e2ce085f54f1783c5e

Observation c49409f8-88dc-4520-b1ec-7a14a8145cd5 · inbound

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models cites this paper.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Large Language Models and Mathematical Reasoning Failures

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:11.834814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:11.834814Z digest=sha256:2407a2c494970a63bb6328c2a4d8be0fabdf012c6078e049583efb4d87834536

Observation 8764693c-7f04-402c-93a5-aff1510213b9 · inbound

Less is More Tokens: Efficient Math Reasoning via Difficulty-Aware Chain-of-Thought Distillation cites this paper.

Less is More Tokens: Efficient Math Reasoning via Difficulty-Aware Chain-of-Thought Distillation Large Language Models and Mathematical Reasoning Failures

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T05:34:40.237414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:34:40.237414Z digest=sha256:0a00357d8dd368853ff9b01d16ee6434386840dc5fec7f2cdcc9aa0dad5cf42a

Observation 73cf27a9-9ac4-44a9-9226-cf4345fd9ad8 · inbound

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection cites this paper.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Large Language Models and Mathematical Reasoning Failures

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-13T19:22:24.103426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T19:22:24.103426Z digest=sha256:0d9e8130f484c7d510cda64a0e487601f289e86a7ea47ada8e142afcdf37b247

Observation caa1744c-98ec-4954-b487-6711e03f3e09 · inbound

VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation cites this paper.

VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation Large Language Models and Mathematical Reasoning Failures

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:50:25.864234Z

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.

source=arxiv_source observed=2026-05-08T19:34:02.860270Z digest=sha256:b0ec2c770a44dc32b0611b000cd66437c1162de2db8ec179e5d349e6a5469fe5