Pith. sign in

Paper Citation Record · LEDGER

Large Language Models and Mathematical Reasoning Failures

As of 19 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 2026-08-19T06:32:44.657259+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=sha256:48cada13546acb5b75e4353d5d1090f2f74db29624267d5ed5ee222f0507a9c3

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=sha256:4dc5c7c062fc8418b53ccec1347457cad47bc6f7bb10d6991f8af42d7b3f60db

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=sha256:1b008a6498ff4c0ba8dad1c7b2efeb12210a641f8a29dbfc77f47f2c4b39d222

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=sha256:3b7093b5de2e060b6392a48f0fc1efbe3966d0d787d18e44b976d26790fa9704

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-08T19:34:02.860270Z digest=sha256:0432ade840a967779994d3ff80d0301da2bd5c0fdcb6a6644cb4e4fb8ed7be52