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Paper Citation Record · LEDGER

LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.11468.

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

pith.paper-citation-record.v1
2501.11468 v1

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:55.530450Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2d189dd6-ead4-46ae-af79-a67e5ba7d5bf · inbound

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge cites this paper.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:55.530450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:55.530450Z digest=sha256:d25b8d94211912126ee0d25b01843aef8c69b18f8655d9d61cb3dadaf4cc3b3c

Observation 69c4f873-9993-4f4a-9f03-b79854db2ad6 · inbound

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects cites this paper.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T13:56:45.620948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:56:45.620948Z digest=sha256:3b254b6fb842b0aea8458d2e3f8afd1993b6311e46b40503be139d9d3a8be196

Observation 5b5d3e63-f6b8-439a-ab2d-f0034b509ce6 · inbound

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast cites this paper.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:09.683582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:09.683582Z digest=sha256:038f3929289f7cd029a3822262c9de477001bad5ff4cc8d9a8432c7139cb0ea0

Observation e0492a22-5dd2-4387-bf09-750e0ec97054 · inbound

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-06-26T00:28:42.836140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T00:27:41.609691Z digest=sha256:9e2157c8b2eaebc34e8af0560b3db72dba8501b84bd34e10b91d128406e45258