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Paper Citation Record · LEDGER

E-chat: Emotion-sensitive Spoken Dialogue System with Large Language Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.00475.

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

pith.paper-citation-record.v1
2401.00475 v3

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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:12:10.901933Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T21:08:19.648467Z

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 7649f68f-f613-4e98-a0ca-995497c73962 · inbound

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction cites this paper.

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction E-chat: Emotion-sensitive Spoken Dialogue System with Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:08:19.651274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T21:08:19.570050Z digest=sha256:afd64f6a9b31c5ba9f4bc41abc6bdcdda88d42cf29b9b86c29bddac26e360714

Observation 2b21b3ca-b6b4-40c7-8dc5-4c487328d496 · 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 E-chat: Emotion-sensitive Spoken Dialogue System with Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T07:12:10.901933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:12:10.901933Z digest=sha256:d7d49762af5a00231a138940a0bad054414461bfc0ee3e7e1bbf21e64a3cda61