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Paper Citation Record · LEDGER

AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.09295.

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

pith.paper-citation-record.v1
2406.09295 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:48:29.912325Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:35:43.900943Z

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 50ad5741-6c9e-4da1-911b-2487b14b4393 · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models

Reference 176

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:35:43.903221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T17:33:13.394338Z digest=sha256:175edc80cae5b16ce977ca7f82fe5bb9bbe5056088a9349e292bd43aa190f7d4

Observation 50918f8a-5ef0-4397-819a-e86829ef4563 · inbound

LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation cites this paper.

LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:29.912325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:29.912325Z digest=sha256:bc4152d77ca672446f86323306c0d51dfc2d8c24e5d3ae08a07448eeda039cd1