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Paper Citation Record · LEDGER

BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.02896.

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

pith.paper-citation-record.v1
2312.02896 v2

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 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:02:30.627193Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T12:02:33.629391Z

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 165c3162-f5bf-405c-b537-2fd1dccf0b18 · inbound

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey cites this paper.

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:02:33.634905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:02:30.627193Z digest=sha256:8afc241ab8afc55bbebf3b5c3a18c5664202b7f2874cd7f5b3b01a9d0d382822

Observation 8ed6cb96-8f46-42a8-8970-1ed3f11f8fcd · inbound

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey cites this paper.

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models

Reference 110

Resolution
unresolved
no resolver link, observed 2026-08-11T23:54:23.666359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:54:23.666359Z digest=sha256:9761efac1f1c818006976a716d7017bff0fbe9449798439db930644dcf622001

Observation bf20845d-9085-4825-937d-cee5b6560c3c · inbound

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey cites this paper.

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T14:59:01.270436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:59:01.270436Z digest=sha256:ea0f1c83817b00be7a2e0a00d673ff11a3a1dace28767ce6aaf03b08aa3ced0d