Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.11829.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:33.418185Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T17:56:24.994767Z
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 4a45b99a-6465-4660-92f8-72b2677fe431 · inbound
Scaling and Enhancing LLM-based AVSR: A Sparse Mixture of Projectors Approach cites this paper.
Scaling and Enhancing LLM-based AVSR: A Sparse Mixture of Projectors Approach MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:39:33.418185Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51204491-2696-4535-b023-231582a16ba9 · inbound
Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation cites this paper.
Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:24:16.961980Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00fdf60d-60db-47f4-903e-d5d4a14d023b · inbound
MUFASA: A Multi-Layer Framework for Slot Attention cites this paper.
MUFASA: A Multi-Layer Framework for Slot Attention MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:36:29.489126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9e52549-37d3-4403-a684-0843d904a529 · inbound
Mema: Memory-Augmented Adapter for Enhanced Vision-Language Understanding cites this paper.
Mema: Memory-Augmented Adapter for Enhanced Vision-Language Understanding MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:56:24.999212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e70482fa-705c-4615-b695-0a77e168dd1b · inbound
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization cites this paper.
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:31:23.380820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a8520dfe-616d-4d28-b50e-1060c7f899ad · inbound
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization cites this paper.
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:42:30.582412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c2fffe71-b3a8-4c11-b98d-61e614c74e39 · inbound
HAFI-VLM: A Frequency Perspective for Diagnosing and Enhancing Visual Perception in Vision-Language Models cites this paper.
HAFI-VLM: A Frequency Perspective for Diagnosing and Enhancing Visual Perception in Vision-Language Models MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:48:44.056463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.