Paper Citation Record · LEDGER

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.12388.

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

pith.paper-citation-record.v1
2403.12388 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:40:04.750557Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:38:32.529517Z

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 a09f647b-d43f-4c8f-bff6-60ead14ec531 · inbound

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback cites this paper.

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:38:32.532675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 17a7e5d4-9a93-4da7-9748-9d4aa3361eaa · inbound

Conversation Progress Guide : UI System for Enhancing Self-Efficacy in Conversational AI cites this paper.

Conversation Progress Guide : UI System for Enhancing Self-Efficacy in Conversational AI Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T17:40:04.750557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4be8753-254f-431d-ac65-05465d3ceeaf · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Reference 193

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:46:37.002813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 35657449-8a74-4bf5-a546-b74751b318d7 · inbound

PACT: A Contract-Theoretic Framework for Pricing Agentic AI Services Powered by Large Language Models cites this paper.

PACT: A Contract-Theoretic Framework for Pricing Agentic AI Services Powered by Large Language Models Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:43.815292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b35bdb8f-a6a6-4015-95a1-a53c8bdec68b · inbound

How can we assess human-agent interactions? Case studies in software agent design cites this paper.

How can we assess human-agent interactions? Case studies in software agent design Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:38.091118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c25b82a4-19bd-4c0f-bbc1-44de6444d413 · inbound

User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation cites this paper.

User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:28:02.576902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 545b01f8-c5c7-468d-8fbf-bcf3873229b0 · inbound

Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance cites this paper.

Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:56:47.932959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 30c37711-a967-4354-b7f3-bc5912a0e156 · inbound

Verifiable Self-Evolution for Open-Ended Dialogue Skills via Future-Feedback Prediction cites this paper.

Verifiable Self-Evolution for Open-Ended Dialogue Skills via Future-Feedback Prediction Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T13:52:39.440267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.