Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.14148.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T13:59:32.042006Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:48:02.088369Z
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 641ebfa0-6ec9-42d1-927a-cfa270b16d45 · inbound
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs cites this paper.
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T13:59:32.042006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b2bd443-74c9-43c1-95c7-0d44a23003f0 · inbound
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization cites this paper.
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:57:37.025894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef9f6fd4-a360-4e7f-b87c-663c1ec843e9 · inbound
ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning cites this paper.
ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:22:59.401493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c272722a-afdf-4f57-af19-96d51716b24b · inbound
Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs cites this paper.
Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:14:08.642768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd65fe72-c4f8-4534-8bfa-5a2cad63128d · inbound
MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models cites this paper.
MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:09:04.579677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 328840b4-aa78-4058-9a84-63d740af27ce · inbound
Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? cites this paper.
Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T14:53:00.532415Z
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 91b57f47-3580-41e8-85b6-da65160b9fcd · inbound
Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs cites this paper.
Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:48:02.089971Z
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.