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Paper Citation Record · LEDGER

Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters

As of 22 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.

pith.paper-citation-record.v1
2403.11549 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:14:56.942536Z

measured 0 of 1 external citation measurements

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:39:46.514131Z digest=sha256:3c4e5cfba478720753a52a811008a1c540f38781e63284085bad511e52f2c464

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T13:29:11.509966Z digest=sha256:cb990eebfdedd1ac0230067c0cd63167afa0bc173fb583f695a17e3d5d204df9

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.

source=pdf_text observed=2026-08-02T00:14:56.942536Z digest=sha256:421625a22d05d749319eeac74f0a28bceb512385a4dc57eaf0acca1c8d72195a