Paper Citation Record · LEDGER

CountQA: How Well Do MLLMs Count in the Wild?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2508.06585.

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

pith.paper-citation-record.v1
2508.06585 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:54.443710Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T06:34:41.866253Z

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 5ad42e53-55ab-4e4e-a2df-309663d9d749 · inbound

Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness cites this paper.

Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness CountQA: How Well Do MLLMs Count in the Wild?

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:31:41.579859Z

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.

Observation 106e0bbe-ccde-404e-ac3e-4d346c7a7bb6 · inbound

ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation cites this paper.

ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation CountQA: How Well Do MLLMs Count in the Wild?

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:44.432454Z

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.

Observation c9f71b54-4dd7-4153-8d41-443e49d9d22a · inbound

V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning cites this paper.

V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning CountQA: How Well Do MLLMs Count in the Wild?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:20:07.246648Z

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.

Observation f912a87b-ae2b-4581-8309-6827469cea24 · inbound

HoloCount: A Holistic Visual Counting Benchmark for MLLMs cites this paper.

HoloCount: A Holistic Visual Counting Benchmark for MLLMs CountQA: How Well Do MLLMs Count in the Wild?

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-08T06:34:41.868005Z

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.

Observation ec01bcf0-49c8-4923-bc8d-2df490edd88c · inbound

Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning cites this paper.

Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning CountQA: How Well Do MLLMs Count in the Wild?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T11:47:26.652739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f1ed92-845b-42d2-b20c-d7589845fe0d · inbound

Scaling Native Multimodal Pre-Training From Scratch cites this paper.

Scaling Native Multimodal Pre-Training From Scratch CountQA: How Well Do MLLMs Count in the Wild?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T06:05:51.176081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5af9c75-f3fb-4d67-82ce-f024a5b20b60 · inbound

When Teachers Mislead: Spurious-Signal-Aware On-Policy Distillation cites this paper.

When Teachers Mislead: Spurious-Signal-Aware On-Policy Distillation CountQA: How Well Do MLLMs Count in the Wild?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T15:45:28.335239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82d90caa-d664-49e6-8f4a-30ba8a1e5e0a · inbound

Thinking with Anchors: Grounded and Efficient Document Reasoning cites this paper.

Thinking with Anchors: Grounded and Efficient Document Reasoning CountQA: How Well Do MLLMs Count in the Wild?

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:54.443710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.