Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.09691.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:07.801312Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T06:52:08.109335Z
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 258e03ae-c032-4490-886e-02438a42f2c5 · inbound
Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models cites this paper.
Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:52:07.801312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8223c6f-90d4-4f43-8f1e-5880c854b88c · inbound
Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models cites this paper.
Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:18:05.180098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad4daefd-ba27-4ed8-9d8a-250ab54f31da · inbound
Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.
Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T06:52:08.111822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.