Paper Citation Record · LEDGER

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression

As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2501.12698.

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

pith.paper-citation-record.v1
2501.12698 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:57:52.060181Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy14
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 521a53c1-ea8b-40a7-8167-eef05a458336 · outbound

This paper cites Prompted LLMs as chatbot modules for long open-domain conversation.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Prompted LLMs as chatbot modules for long open-domain conversation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.338230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ea5beff2-4615-4f24-8e9a-8f1aadd1bfa1 · outbound

This paper cites Introducing chatgpt.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Introducing chatgpt

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.328017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a19af56-10e3-4508-874a-f6197ada1066 · outbound

This paper cites Gpt-4 technical report, 2023.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Gpt-4 technical report, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.318353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66ba5ebd-f5e0-46ed-8998-13098b2eb584 · outbound

This paper cites An overview of bard: an early experiment with gener- ative ai, 2023.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression An overview of bard: an early experiment with gener- ative ai, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.308978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ed77d2ac-2aa8-4392-b6f3-5590116d7565 · outbound

This paper cites Training language models to follow instructions with human feedback.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Training language models to follow instructions with human feedback

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:51.985853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e10dced-73bf-4fdd-9bd6-f0c2d33117fa · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Fine-Tuning Language Models from Human Preferences

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:51.990020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 832aacf0-b176-46d4-b560-dc9e332f5244 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:51.993988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a576c6-d012-4a67-affd-de1c60fab68b · outbound

This paper cites Deep reinforcement learning from human preferences.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Deep reinforcement learning from human preferences

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:51.998503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce9df95-f6bc-4ad1-b62b-afb4c512dc17 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:52.003062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b070e946-c315-49d8-9c69-342c55e82370 · outbound

This paper cites Language Model Self-improvement by Reinforcement Learning Contemplation.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:52.007090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db4173e4-44c4-4c45-82be-0a61b557fa87 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Constitutional AI: Harmlessness from AI Feedback

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:52.010908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 969e6cc9-452c-4abc-8729-c90d81096288 · outbound

This paper cites Reward design with language models.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Reward design with language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.298769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a41c6a63-1ba1-4545-8a68-1de16ad1ad32 · outbound

This paper cites Beyond human data: Scaling self-training for problem- solving with language models.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Beyond human data: Scaling self-training for problem- solving with language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.289489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 258e32cf-bd87-469b-bd20-876ca8eff796 · outbound

This paper cites Language instructed reinforcement learning for human-AI coordination.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Language instructed reinforcement learning for human-AI coordination

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.279162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82349e81-bd88-4602-93ff-296fe541781e · outbound

This paper cites Unsupervised evaluation of inter- active dialog with DialoGPT.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Unsupervised evaluation of inter- active dialog with DialoGPT

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.268531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a2943b5d-b4c7-4568-8f55-54dccde7f58a · outbound

This paper cites MEEP: Is this engaging? prompting large language models for dialogue eval- uation in multilingual settings.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression MEEP: Is this engaging? prompting large language models for dialogue eval- uation in multilingual settings

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.257899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1ed076c-d424-43c1-9f00-719841471d8e · outbound

This paper cites InCharacter: Evaluating personality fidelity in role-playing agents through psychological interviews.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression InCharacter: Evaluating personality fidelity in role-playing agents through psychological interviews

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.240108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0e7d349-74da-4d6f-a641-d8a13fb10946 · outbound

This paper cites LLM-eval: Unified multi- dimensional automatic evaluation for open-domain conversations with large language models.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression LLM-eval: Unified multi- dimensional automatic evaluation for open-domain conversations with large language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.229521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2c3434ab-19bc-41e0-bb8e-54b030592973 · outbound

This paper cites G-eval: NLG evaluation using gpt-4 with better human alignment.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression G-eval: NLG evaluation using gpt-4 with better human alignment

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.217994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b8d4bfd-ad4a-4442-ae2f-011cdc7b4110 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:52.047712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 234df465-0dc3-4f76-bec8-fae5966eb80a · outbound

This paper cites Empirical analysis of training strategies of transformer-based japanese chit-chat systems.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Empirical analysis of training strategies of transformer-based japanese chit-chat systems

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.206924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2c2ebb21-10e3-4e9c-94a5-b727b6d76725 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Proximal Policy Optimization Algorithms

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:52.054156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 025fdf04-d36a-4cdd-b901-6bec0bf1177f · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:52.057031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1383729-fbb1-4a0f-be58-4436cfb526fe · outbound

This paper cites Towards empathetic open-domain conversation models: A new bench- mark and dataset.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Towards empathetic open-domain conversation models: A new bench- mark and dataset

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:57:52.195351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 10529605-ac9f-4ceb-a939-db5382ff6b40 · outbound

This paper cites an unresolved cited work.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:52.038496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.