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Paper Citation Record · LEDGER

Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.05015.

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

pith.paper-citation-record.v1
2409.05015 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:05:40.813055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.381758Z

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 1a776fb5-ef3c-42e1-9fa2-9e3c71628ac5 · inbound

ECMF: Enhanced Cross-Modal Fusion for Multimodal Emotion Recognition in MER-SEMI Challenge cites this paper.

ECMF: Enhanced Cross-Modal Fusion for Multimodal Emotion Recognition in MER-SEMI Challenge Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T23:05:40.813055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:05:40.813055Z digest=sha256:a7b03bd9712bbb4ff1d761a5e990579292094f399df2aa5b759b2ee8054d2b03

Observation 45e2eb54-b474-41b0-bc87-9fe45dfa5a5b · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:20:06.384271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-25T21:31:38.450382Z digest=sha256:6bbf2dbdbb03e8795757a96cd47ad1fce05d69df9ac4365d437859caec880652