Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2204.10496.
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 2026-08-07T13:40:22.521525Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 001684f0-6424-434a-9bb1-f924014c76e8 · inbound
A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features cites this paper.
A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:40:22.521525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7df316c9-c901-430b-a14f-6435ac0fa794 · inbound
MobileCLIP2: Improving Multi-Modal Reinforced Training cites this paper.
MobileCLIP2: Improving Multi-Modal Reinforced Training Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:59:19.624763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c72dd15-3912-4388-ab23-7e1f15ffb57a · inbound
AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models cites this paper.
AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:14:35.170744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87de24e0-cfc3-4625-a522-94afee2f2506 · inbound
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks
Reference 205
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T23:54:45.433903Z
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.
Observation 6a06a41a-0cbb-426f-a2fd-d1d628464b0c · inbound
Large-Small Model Collaboration for Farmland Semantic Change Detection cites this paper.
Large-Small Model Collaboration for Farmland Semantic Change Detection Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:57:22.687667Z
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.