Paper Citation Record · LEDGER

Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical Study

As of 6 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2606.12881.

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

pith.paper-citation-record.v1
2606.12881 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:57:40.187795Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

5 of 5 outbound references displayed

verified exact3
verified fuzzy0
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c1face4-d1f5-43c2-a5e1-89cf90dfab51 · outbound

This paper cites Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications.

Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical Study Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:38:29.314374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 837bde6e-1adf-479a-bea7-e1f5a6733915 · outbound

This paper cites The rise of AI chatbots: How GPT-3 and BERT are redefining conversational experiences.

Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical Study The rise of AI chatbots: How GPT-3 and BERT are redefining conversational experiences

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T06:57:40.187795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8246337a-048e-4d12-8111-8ee6feec0ac6 · outbound

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

Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical Study Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T14:38:29.316845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0f2f9b72-de9f-4d4c-8f42-fabc911f531c · outbound

This paper cites Proximal Policy Optimization Algorithms.

Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical Study Proximal Policy Optimization Algorithms

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-03T14:38:29.319075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 820964ee-3330-4f6f-aa1a-b211ec18d0bc · outbound

This paper cites Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study.

Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical Study Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:38:29.321483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.