Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.11549.
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 2026-08-02T00:14:56.942536Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T13:33:19.344670Z
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 fbe1897d-553a-44ef-9b09-b92d88ed3ff4 · inbound
DSCA: Dynamic Subspace Concept Alignment for Lifelong VLM Editing cites this paper.
DSCA: Dynamic Subspace Concept Alignment for Lifelong VLM Editing Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:25:57.825342Z
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 5c108b47-c3b5-4676-98e1-4fdb853f44e0 · inbound
Reasoning Portability: Guiding Continual Learning for MLLMs in the RLVR Era cites this paper.
Reasoning Portability: Guiding Continual Learning for MLLMs in the RLVR Era Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:33:19.348917Z
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 26bcb2e4-6709-45e7-9fab-3a68fd792025 · inbound
AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning cites this paper.
AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:14:56.942536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.