Paper Citation Record · LEDGER

Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.02846.

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

pith.paper-citation-record.v1
2503.02846 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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:16.780529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:02.049869Z

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 b27350cf-cbdb-44f4-a206-bfd3ff5d0941 · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:16.780529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c6de21-84f6-4c0f-9e71-1276b70ec31b · inbound

Mitigating Object Hallucinations via Sentence-Level Early Intervention cites this paper.

Mitigating Object Hallucinations via Sentence-Level Early Intervention Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:35:32.650960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 89361620-2c6f-470d-8751-def8cfe02ec8 · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:29.390408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b62386a9-cc5f-41af-814c-a3e0a5748fce · inbound

Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation cites this paper.

Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:25:35.022099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 456ea93d-5648-4ef8-b3e9-cf9f254949de · inbound

ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning cites this paper.

ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:28.742129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35f6a94a-6f3a-4c42-bc04-4b5cbbc5584e · inbound

Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs cites this paper.

Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:48:02.051696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.