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Paper Citation Record · LEDGER

EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.11424.

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

pith.paper-citation-record.v1
2408.11424 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:07:27.587777Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:27:26.549688Z

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 91706ae5-009f-4165-9389-758e3f05e0f2 · 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 EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T13:07:27.587777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:07:27.587777Z digest=sha256:94431093cff1f7e295afbe61ec89494cb2d505adbf1f4cba18567410b55d30a6

Observation ab370f93-8ae9-4330-8682-a5582bbe4cbe · inbound

CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content Generation cites this paper.

CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content Generation EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T04:25:49.926635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:25:49.926635Z digest=sha256:869ea00c1bbfe41e3e923cc44e4ae3f3321c43e85d8a84cf467e12af6944addc

Observation 5650b526-319e-452b-8dfc-1d18ba70473c · inbound

Distribution-Specific Learning for Joint Salient and Camouflaged Object Detection cites this paper.

Distribution-Specific Learning for Joint Salient and Camouflaged Object Detection EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T23:05:39.647069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:05:39.647069Z digest=sha256:648582382c6c9eb0ee07b288e9e179b7101ff583d68da7e8f28698cc4b4cfb1b

Observation 85c9599b-0172-432d-a938-f3a78a858599 · inbound

FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis cites this paper.

FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:28:23.876399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T20:27:40.572994Z digest=sha256:2442f8052ba76c1a6b868fe6822e0fe14ee5003802b7c1d2e97e6b1cdb036c4b

Observation 87fc2543-5052-495c-859b-030fe9d8634d · 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 EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-02T20:14:04.148188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:14:04.148188Z digest=sha256:0d894a78770cf807ff0debff7bd811b633ba477b917be25d3f7537de40de3006

Observation b8832261-71d4-4ac0-8a3f-75700c5e29c3 · inbound

Insights from Visual Cognition: Understanding Human Action Dynamics with Overall Glance and Refined Gaze Transformer cites this paper.

Insights from Visual Cognition: Understanding Human Action Dynamics with Overall Glance and Refined Gaze Transformer EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:26:01.618009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:07:41.426142Z digest=sha256:41a462706665519fc51e196c09b1c483a882d181ed9e5faf63fef0ede6176c4a

Observation 9b65dd80-feb9-4805-9351-ab5ec3803daf · inbound

ActFER: Agentic Facial Expression Recognition via Active Tool-Augmented Visual Reasoning cites this paper.

ActFER: Agentic Facial Expression Recognition via Active Tool-Augmented Visual Reasoning EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:15:58.707352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:45:37.278153Z digest=sha256:c12dbc9ab604764195cc5f83701a842a7f1f5c9132a9b39e6e04339a8d0ff23d

Observation 465da01e-553a-40bc-96c3-37adbd0f1ef2 · inbound

Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions cites this paper.

Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:27:26.551560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T18:49:27.934994Z digest=sha256:7982d428135d6d445bd6c504d049ad324ce37bc8a537423935e56cee0c709a1a