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Paper Citation Record · LEDGER

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.05862.

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

pith.paper-citation-record.v1
2406.05862 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T21:55:40.808698Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T21:55:40.963336Z

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 77f25bc0-583e-4d16-a488-1f95b423d7f1 · inbound

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? cites this paper.

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:55:40.965887Z

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=2026-05-16T21:55:40.808698Z digest=sha256:f83fa4011d2430d683a27b359bfccbde5d650bd9e1d79a574d7afbd1b0b85c65

Observation 0529d0dd-097d-4de7-b7dd-416f7eeb8724 · inbound

COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts cites this paper.

COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:41:26.745432Z

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=2026-05-07T09:47:27.891288Z digest=sha256:aa668efdd08d1677ca72f4f5133ee33c1254f99c6bebd2ca8bffb339c824eb9c

Observation b71352d4-e37f-4840-9f5a-25457cd0fd57 · inbound

COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts cites this paper.

COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:59.301490Z

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=2026-05-14T21:15:30.952247Z digest=sha256:79223d152409b737820b6f545c8e3760d6305f442562511ac7fa6ed7f8cbb4c1