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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 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:39.931675Z

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 6f274635-e810-4eda-97bf-49f0ade0dbcf · inbound

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection cites this paper.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.931675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.931675Z digest=sha256:dee3a51c17aaac31198c2416c827cdd24c394820c031d53d26a55f5cf774d174

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:fa6e5486e74e67b32463796dafc2b8b0b45e6fe616307f8c0a797759fe0b9b7d

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:aff2d81d68c8cec843b1e6e030c7f878618f3e3d7ed11bb1fa2368337fa0e708

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T14:05:54.535411Z digest=sha256:bd1c8bfc3cdf4c89e63436c6e89dbaf6c9d82b2831c196f1d9667797bd4020eb

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=sha256:5b328739f75f6db227dd9b03dcc7c4be1ca10b385f92f9134f919dac5608482d

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=sha256:680eb9ef1fec7a957361f1ce1082342d74f481b8191ac0b9449ee62b140eb20c