Paper Citation Record · LEDGER

Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.16427.

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

pith.paper-citation-record.v1
2504.16427 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:02:24.412048Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T17:46:23.764672Z

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 d1c5d6d0-bdc4-4b2a-8647-0b82c892956b · inbound

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting cites this paper.

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T05:02:24.412048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18792731-eeab-4556-ab9c-2aeb3c878e2a · inbound

Nano-EmoX: Unifying Multimodal Emotional Intelligence from Perception to Empathy cites this paper.

Nano-EmoX: Unifying Multimodal Emotional Intelligence from Perception to Empathy Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:46:23.768172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dbec60f5-baec-4a30-9d45-2ce614f53014 · inbound

C2F-Thinker: Coarse-to-Fine Reasoning with Hint-Guided Reinforcement Learning for Multimodal Sentiment Analysis cites this paper.

C2F-Thinker: Coarse-to-Fine Reasoning with Hint-Guided Reinforcement Learning for Multimodal Sentiment Analysis Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:55:53.277250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation faf1b855-e48f-42da-8822-792aaf5a78a9 · inbound

COSI-Lab: Conference Living Lab for Modeling Multi-Perspective Multimodal Social Intention cites this paper.

COSI-Lab: Conference Living Lab for Modeling Multi-Perspective Multimodal Social Intention Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T00:52:08.446084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.