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Paper Citation Record · LEDGER

INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.09105.

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

pith.paper-citation-record.v1
2406.09105 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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:41.760849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:02:10.691995Z

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 0ae8ff29-4cde-422d-9dc3-fd203fb620dc · inbound

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

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:41.760849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:41.760849Z digest=sha256:92221b522db1482e8692a0e758b02e82be053d7a1aa2820ef819864af87cf4e1

Observation 97799763-0491-4460-9343-72e2e3036527 · inbound

Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT cites this paper.

Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.695301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T07:59:04.512405Z digest=sha256:b01991c7d0ee280ed9f9ba5115c3b27a8def6f206b23f9d8a11fd7cfd592c770

Observation 5c8c18ff-78b2-4bce-a6d0-eb1ead5d5e42 · inbound

Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT cites this paper.

Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:08.232468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:08.232468Z digest=sha256:4b6fe81dc8bea3a92a20775bf2f2e9f9a086ada26183021ae6d392c03c6f9b8a