Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.19684.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:32:23.825194Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T08:02:43.339076Z
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 15660616-820d-4ace-b611-5878892086a3 · inbound
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts cites this paper.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.342981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 29eb50a3-4367-4532-94f5-39646381daf0 · inbound
Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs cites this paper.
Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:32:23.825194Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.