Paper Citation Record · LEDGER

Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2204.10496.

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

pith.paper-citation-record.v1
2204.10496 v2

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 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:14:35.170744Z

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

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 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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+00:00.