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Paper Citation Record · LEDGER

MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.13399.

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

pith.paper-citation-record.v1
2503.13399 v1

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 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:42.384093Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:56:57.617287Z

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 9a1ecf79-9096-4d7c-80b9-6f2116cc0bf4 · inbound

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

Reference 195

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:42.384093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:42.384093Z digest=sha256:b4c0c4a85e0aea5bef71e89740642641fa52d73ec8e4356c16ace1f4d258829e

Observation ff57c395-e326-42cc-ba63-5debfaa4e6d7 · inbound

LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops cites this paper.

LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:22:16.176102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T09:18:26.804728Z digest=sha256:0a4dd1f71da6986d0c21eb2bd19f10b3e82327ae6e2bed8527d01d4343ce111a

Observation a045c5d5-a72f-4195-b149-8951bd3d8d39 · inbound

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator cites this paper.

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T05:17:06.169992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:9310457695f1591b1627507d08a837309231f7b5ee5bfbf9a97083664f8d69b0

Observation 6624f272-808d-4c21-8382-e6d22dae1f1f · inbound

Agentic-J: An AI Agent for Biological Microscopy Image Analysis cites this paper.

Agentic-J: An AI Agent for Biological Microscopy Image Analysis MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T01:36:25.315914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T11:48:11.033570Z digest=sha256:724a340c6b55202563ff8ae41bae006c8b4862b004bdc009575b5f638732a7a3

Observation 9484107f-c7cb-4fdb-91d1-a661ef557048 · inbound

MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models cites this paper.

MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:56:57.618796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T01:39:30.851276Z digest=sha256:9428962737979da1b69c32b199cb38c0cc6eb2881427c61519deb2092b7e2146