Paper Citation Record · LEDGER

AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2501.16566.

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

pith.paper-citation-record.v1
2501.16566 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:01.599045Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.075048Z

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 2709bacd-1e47-4e65-b0df-341064a66a43 · inbound

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language cites this paper.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:30:01.599045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ff15cd6-87af-4345-9f2f-47c7635f8d50 · inbound

Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions cites this paper.

Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T13:07:27.597574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53e94391-8752-4c87-91f6-da012278d3c6 · inbound

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models cites this paper.

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T20:14:04.044246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e8d0c8-77e7-4658-85ff-ef5eb51f3f29 · inbound

EmoTrans: A Benchmark for Understanding, Reasoning, and Predicting Emotion Transitions in Multimodal LLMs cites this paper.

EmoTrans: A Benchmark for Understanding, Reasoning, and Predicting Emotion Transitions in Multimodal LLMs AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:15.298129Z

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.

Observation 2596fc17-bdad-4a8a-80d2-2093b1c4b358 · inbound

EmoS: A High-Fidelity Multimodal Benchmark for Fine-grained Streaming Emotional Understanding cites this paper.

EmoS: A High-Fidelity Multimodal Benchmark for Fine-grained Streaming Emotional Understanding AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:33.427912Z

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.

Observation d08fce51-bbd1-4dd9-ba08-0544184343ba · inbound

MOTOR-Bench: A Real-world Dataset and Multi-agent Framework for Zero-shot Human Mental State Understanding cites this paper.

MOTOR-Bench: A Real-world Dataset and Multi-agent Framework for Zero-shot Human Mental State Understanding AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:17.689880Z

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.

Observation c9ace2b9-3300-4a4d-b359-546770cf6fdd · inbound

DeceptionX: From Multimodal Evidence to Explainable Deception Detection cites this paper.

DeceptionX: From Multimodal Evidence to Explainable Deception Detection AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.107506Z

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.

Observation b03e81a9-caae-4d49-98d9-88d8ae409121 · inbound

DeceptionX: From Multimodal Evidence to Explainable Deception Detection cites this paper.

DeceptionX: From Multimodal Evidence to Explainable Deception Detection AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:32.875571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35ba8b94-5697-4183-ac91-a172fc11c732 · inbound

Reasoning for Mobile User Experience with Multimodal LLMs: Task, Benchmark, and Approach cites this paper.

Reasoning for Mobile User Experience with Multimodal LLMs: Task, Benchmark, and Approach AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:22.076550Z

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.

Observation 0cde136d-44ef-459f-8cce-3807cd4da7be · inbound

Toward Annotation-Efficient Continuous Emotion Arousal Quantification via Group-Level EEG Dynamic Neural Synchrony cites this paper.

Toward Annotation-Efficient Continuous Emotion Arousal Quantification via Group-Level EEG Dynamic Neural Synchrony AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 293

Resolution: unresolved; no resolver link, observed 2026-07-31T14:47:03.023064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1a33118-3b7d-49d1-b429-eb24363fd0d6 · 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 AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T00:52:08.338727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.