Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.21227.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:37.316578Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T23:26:23.226477Z
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 7b41c1be-a796-4c48-90f3-ac859a604942 · inbound
Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.
Continual Learning for Generative AI: From LLMs to MLLMs and Beyond LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
Reference 259
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:37.316578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4190350e-92e2-4d81-876a-edb052bed67c · inbound
SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning cites this paper.
SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:33:14.911341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01ed2fc1-0677-48c5-974c-cd20ff67f287 · inbound
The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models cites this paper.
The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:15:50.112634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d4a43f89-c086-429d-84e2-67935bbd0ed7 · inbound
CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuning cites this paper.
CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuning LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T23:26:23.228515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 63fde66b-62bd-49f7-b87f-0f07d9b13c52 · inbound
ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction Tuning cites this paper.
ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction Tuning LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T22:36:18.004182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.