Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PAFT: A Parallel Training Paradigm for Effective LLM Fine-Tuning
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.17923.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-23T21:22:36.970101Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T21:23:27.461682Z
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 da34651a-5c54-4bf8-8f15-2e946c857697 · inbound
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities PAFT: A Parallel Training Paradigm for Effective LLM Fine-Tuning
Reference 167
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:16:04.776398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 710e60f8-dc94-4cbb-bbe3-e01e1a82361b · inbound
UNA: A Unified Supervised Framework for Efficient LLM Alignment Across Feedback Types cites this paper.
UNA: A Unified Supervised Framework for Efficient LLM Alignment Across Feedback Types PAFT: A Parallel Training Paradigm for Effective LLM Fine-Tuning
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T21:23:27.465151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 052d7c2a-6778-4a94-bc20-3356331467ea · inbound
A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability cites this paper.
A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability PAFT: A Parallel Training Paradigm for Effective LLM Fine-Tuning
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T07:38:09.450816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.