Paper Citation Record · LEDGER

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.10139.

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

pith.paper-citation-record.v1
2410.10139 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T09:18:26.804728Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:22:16.098662Z

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 443192d6-243b-4889-b409-da8a06264662 · inbound

LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops cites this paper.

LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:22:16.102439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 04eba50a-a3ba-4a81-9e20-8d4e7a795994 · inbound

Emu3.5: Native Multimodal Models are World Learners cites this paper.

Emu3.5: Native Multimodal Models are World Learners MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:12:13.608083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c3642633-ba9a-40b9-ae86-48223a48b922 · 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 MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:41:26.742064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0554d2f8-ea2b-4d10-b170-0e9aa8eef44d · 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 MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:17:59.306521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.