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Paper Citation Record · LEDGER

MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.18132.

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

pith.paper-citation-record.v1
2503.18132 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:38.027863Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:06:37.863280Z

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 940b8c61-c408-45bc-b4b5-945951aae648 · inbound

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring cites this paper.

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:38.027863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:38.027863Z digest=sha256:34d792686304c9a95751f827a92c1a9715b53e388727c44d61df3de6021a88fd

Observation e9f0882e-a55e-4b3d-ac14-f7c0b4440c0f · inbound

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:20.828980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:39:20.828980Z digest=sha256:5158cead94d018cbcee3192b42ace4af3450804a65d3962ce8fca7f2a2b671b1

Observation 3c1dfb6c-72b6-4437-9244-a783c4e661fa · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:06:37.866826Z

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=pdf_text observed=2026-05-22T14:05:54.535411Z digest=sha256:6fc54861f951c840adc85c0378fca04dc6364695018a894f8542703dbba23c8c

Observation 6fe4e718-45ca-40ce-9f83-f6539fe50ce2 · inbound

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning cites this paper.

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T00:59:53.976201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:59:53.976201Z digest=sha256:043fe2e525f3239e8400fefed901cb451ffeda5e8b67f9b0af6b282dd21c8d66

Observation 6ce1a112-16ca-4aad-854d-414ebd86e0a3 · inbound

One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents cites this paper.

One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T14:20:31.315998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:20:31.315998Z digest=sha256:2b3cb796eff715e15bbc616a6c16d8d54c7540f3ac7af2c217c1148a1059703d