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Paper Citation Record · LEDGER

CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.14727.

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

pith.paper-citation-record.v1
2205.14727 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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:31:54.544590Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:26:47.964007Z

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 874ab6b3-a3e3-4363-beeb-29100f83dbff · inbound

SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment cites this paper.

SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T11:31:54.544590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:31:54.544590Z digest=sha256:a5e7152be7f0f4e7e313a0bee879def616d4fe094865aaab70e27c0b22d006eb

Observation c37300d0-76a5-4f7a-b91f-def4add91333 · inbound

Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues cites this paper.

Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:26:47.965243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T06:04:28.939248Z digest=sha256:a87f5743d95da3e80833c65efec1017b7265b3cf47758386583d1a6115c8976b

Observation 716a40cd-63d9-4308-823b-6e39b7b4d5e8 · inbound

A Survey of Large Language Models for Perception and Measurement of Human Psychology cites this paper.

A Survey of Large Language Models for Perception and Measurement of Human Psychology CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T17:04:57.092926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T16:59:25.825681Z digest=sha256:e48386a0b531ef6671752477a334951ef3699345cad1e3ec9c624b9b02651a4b

Observation 7dc75b8a-2a02-4913-a254-4a6eb45b9f90 · inbound

Let Me Look at You: Advanced Facial Expression Modeling for Conversational Speech Synthesis cites this paper.

Let Me Look at You: Advanced Facial Expression Modeling for Conversational Speech Synthesis CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T15:08:47.789798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:08:47.789798Z digest=sha256:3df44648550cec5622b3cf6f7e0023c9d3ac4142463a8b62149b6c21ab970d9c