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Paper Citation Record · LEDGER

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.05140.

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

pith.paper-citation-record.v1
2310.05140 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:49:51.518375Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:06:12.969017Z

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 0b57493c-9938-4813-b92a-dd57ea777fc7 · inbound

Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark cites this paper.

Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T20:49:51.518375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:49:51.518375Z digest=sha256:42bcdb5283516b3716c2b4c854ac93a261973f1f82b4e5b304a109e3ed7fbd86

Observation f08c2e6b-c6f0-4732-a347-9aebd173e83e · inbound

AI Agent Behavioral Science cites this paper.

AI Agent Behavioral Science Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.828466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.828466Z digest=sha256:c3d2f22c38d8a1a7fc4ef1f8511b98feed0dc767579cc61aa28ed01edc1a4066

Observation fd1e2991-fb8e-4cca-89a8-03a6f88d1b28 · inbound

Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts cites this paper.

Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:06:12.973499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T10:17:35.694775Z digest=sha256:317e2a5386ed0bc436c9536c33716f1d318883f51462a8d5d89717ee036980cc