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Paper Citation Record · LEDGER

MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.20808.

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

pith.paper-citation-record.v1
2502.20808 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:16:57.541637Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:13:39.856562Z

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 6313a9a0-bfa3-4c41-9dc2-90a4c2c4056c · inbound

Large Language Models as Computable Approximations to Solomonoff Induction cites this paper.

Large Language Models as Computable Approximations to Solomonoff Induction MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T15:16:57.541637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:16:57.541637Z digest=sha256:082141604124c14452c90ee3cfb9e7ac6ce1c0cf198576755b9ecc7f2c3a9dd8

Observation 8ba292eb-b80b-4732-82d4-25d7d2e1432f · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:19.875996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:19.875996Z digest=sha256:b84f43eb96ea4a462b4253a6fee941bfce4c2214cbabfaeb1bb42d6adc345ca3

Observation bc114644-a2fc-4d2d-afaa-9d4a5207644e · inbound

MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems? cites this paper.

MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems? MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T06:08:27.028489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:08:27.028489Z digest=sha256:177c0b116473cd54a96abe0a74ab837f1cb9e87d26787c55eb16ddc2a7c1088f

Observation 8d44726a-0687-4b8f-8626-30727eb0e571 · inbound

PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning cites this paper.

PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:13:39.956964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:13:37.882009Z digest=sha256:d545b6b69c35b6f92907164674b3acf8aae6da5b020ba5863986e00cf5688b0d