Paper Citation Record · LEDGER

Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2206.02770.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2206.02770 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:24.783383Z

measured 1 of 1 external citation measurements

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

72
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 01e4ff22-e63e-4253-ba46-e249583cf6a4 · inbound

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection cites this paper.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:24.783383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52e583d0-4c1a-4a57-a591-15db071bef13 · inbound

CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling cites this paper.

CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T17:09:26.844565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d4128a-5d8a-4f6d-a011-ed1ba854a554 · inbound

Beyond Routing: Characterising Expert Tuning and Representation in Vision Mixture-of-Experts cites this paper.

Beyond Routing: Characterising Expert Tuning and Representation in Vision Mixture-of-Experts Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:59:41.032395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8695182-60c0-49a3-809d-42f71827a5d5 · inbound

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-06-26T00:28:42.987208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.