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Paper Citation Record · LEDGER

SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.00273.

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

pith.paper-citation-record.v1
2311.00273 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:37:01.573454Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:09:01.532048Z

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 d7a738cf-6525-4186-b1e9-d70d979fe702 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:22:09.224878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:c23fa12e0c38ad4a04207f3900cfc8c3a649188fd9dcfd5a14e5311e2fc894a7

Observation 7703b3e3-6b43-46a7-bbcf-d1e2cea247ec · inbound

Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams cites this paper.

Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:48:34.344836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T21:47:54.299087Z digest=sha256:13eac1481854dfe02d128231ad2b26ff31febc6e941db64cc240e2fc3dc59086

Observation 7c23ee39-b500-4f85-9397-1e0c64842d70 · inbound

Breakdowns in Conversational AI: Interactional Failures in Emotionally and Ethically Sensitive Contexts cites this paper.

Breakdowns in Conversational AI: Interactional Failures in Emotionally and Ethically Sensitive Contexts SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:48:11.328436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T19:46:56.456625Z digest=sha256:2216eb1f5f8290768d102f55d74a7a55a5242e46a9e919a81b2eaa560596dac3

Observation 0f2fbf6b-d5da-4a94-8203-4a89bd54e16a · inbound

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice cites this paper.

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:41:00.902538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T17:59:44.844149Z digest=sha256:050f92deaa0cd441718d8cc5b730c217d624a97a0b81ce04e1a6eee65b77f5a8

Observation cc916186-8ba1-4e4d-988e-e580d483c1f4 · inbound

Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation cites this paper.

Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:56:47.707533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T06:52:29.069561Z digest=sha256:a48d781c6374061a1e8b780b62fd73229437f12ee11780221a8833b13781eded

Observation 3678b559-8d09-46a6-a1a4-f4bd1adc666d · inbound

When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support cites this paper.

When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:09:01.533803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T22:49:57.006774Z digest=sha256:4c075208cfd39886c1a5a58a6d8bfc60cbee80a7f1183706057b8ec3dc5b0180

Observation 8cadc087-20aa-4126-a260-db6809eabbba · inbound

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

Reference 116

Resolution
unresolved
no resolver link, observed 2026-08-02T13:37:01.573454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:01.573454Z digest=sha256:05afddfe598a68c0f7f7834382fd2f56b5df6637bef212c332ace790b347a28d