Paper Citation Record · LEDGER

Context-DPO: Aligning Language Models for Context-Faithfulness

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.15280.

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

pith.paper-citation-record.v1
2412.15280 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:16:51.849593Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T23:03:50.362998Z

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 e1700061-75a5-4274-8994-3747b23cc3a0 · inbound

Large Language Models as Computable Approximations to Solomonoff Induction cites this paper.

Large Language Models as Computable Approximations to Solomonoff Induction Context-DPO: Aligning Language Models for Context-Faithfulness

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:51.849593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5faf9fb3-54ce-4de8-99ab-631bf7637757 · inbound

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models cites this paper.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Context-DPO: Aligning Language Models for Context-Faithfulness

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:39.613828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 640f9d77-5fa3-455f-a03f-f65668e4ed23 · inbound

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation cites this paper.

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation Context-DPO: Aligning Language Models for Context-Faithfulness

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:06.306782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f59ad788-0f86-47f1-9215-c4ff14cec8d3 · inbound

Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation cites this paper.

Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation Context-DPO: Aligning Language Models for Context-Faithfulness

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:12.688048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 283112c6-4251-457e-a8cf-f6bc4414963f · inbound

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation cites this paper.

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation Context-DPO: Aligning Language Models for Context-Faithfulness

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T09:50:43.166440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b07a361-d700-4e4d-85a0-8d515b629af1 · inbound

Trust or Abstain? A Self-Aware RAG Approach cites this paper.

Trust or Abstain? A Self-Aware RAG Approach Context-DPO: Aligning Language Models for Context-Faithfulness

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:03:50.366408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.