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Paper Citation Record · LEDGER

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.18042.

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

pith.paper-citation-record.v1
2409.18042 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:12:12.988342Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:50:13.938169Z

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 9d0958cb-b41e-4f06-ad3b-cfb81e1d753f · inbound

VoiceBench: Benchmarking LLM-Based Voice Assistants cites this paper.

VoiceBench: Benchmarking LLM-Based Voice Assistants EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:50:13.940657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T00:50:13.841689Z digest=sha256:32818704ffcf77986ecd1e9e6b3236c7cf5e993900e101e0be403413cec498d3

Observation 047c6f91-bf8e-4dd3-b40d-9c1b001d6043 · inbound

MCBench: A Multicontext Safety Assessment Benchmark for Omni Large Language Models cites this paper.

MCBench: A Multicontext Safety Assessment Benchmark for Omni Large Language Models EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-12T19:28:32.792370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:28:32.792370Z digest=sha256:0ef0b2b9968d8d9d0b3d711da828271c48af2279a21a99ccf8b3fb2d9191db69

Observation d65ae3e8-d898-4b20-bd84-c976d9391b04 · inbound

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment cites this paper.

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-01T07:12:12.988342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:12:12.988342Z digest=sha256:0d79c29fd16ee087c9cb9aac6eb18152d51b8e0c869e2a111429cfafa9811500