Pith. sign in

Paper Citation Record · LEDGER

AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.13047.

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

pith.paper-citation-record.v1
2202.13047 v3

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 2026-08-15T17:12:50.055138Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4abc05be-4ace-416d-8e40-9e684d5cedff · inbound

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification cites this paper.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:22.765755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:22.765755Z digest=sha256:5c338514eff78381126baf902b571b005d3151b9fc9d5498439a2c1a50f7c770

Observation 05f866de-1686-46aa-94f7-f9ebe5706d97 · inbound

DialogueForge: LLM Simulation of Human-Chatbot Dialogue cites this paper.

DialogueForge: LLM Simulation of Human-Chatbot Dialogue AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T15:28:46.391468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:46.391468Z digest=sha256:b6d03bf6f4817baa8c6e105ffdc31359346a80869229bfec120d4fd0db800e6a

Observation 1f8b85f0-1f11-4b11-8f18-28a4c2a56281 · inbound

Styleclone: Face Stylization with Diffusion Based Data Augmentation cites this paper.

Styleclone: Face Stylization with Diffusion Based Data Augmentation AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-15T17:12:50.055138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:12:50.055138Z digest=sha256:bc86b2ddb6722426b3e256c624c4be4115c28a9cfaa49ece305bb1e145016e60

Observation acbdf7ac-8737-4dc5-bc9e-0332f6149317 · inbound

Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations cites this paper.

Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-10T04:09:57.330748Z

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=2026-05-10T04:04:52.235611Z digest=sha256:6edcd42cbc1a08f9b4592f2176a2533722024f6950e8163cbb675035127ad73b