Paper Citation Record · LEDGER

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.19547.

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

pith.paper-citation-record.v1
2405.19547 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:07:00.277709Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-28T19:22:34.822221Z

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 10dfe42e-c92a-4cda-854f-59247191925c · inbound

SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency cites this paper.

SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T21:07:00.277709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ff9997d-ddc6-4397-bbd3-770d9c05882d · inbound

Active Data Curation Effectively Distills Large-Scale Multimodal Models cites this paper.

Active Data Curation Effectively Distills Large-Scale Multimodal Models CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning

Reference 168

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:36.363471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2dbc04b-bc33-4445-b4b2-f36d59f4505c · inbound

Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights cites this paper.

Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:00.870409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b39497a-dbdd-4f48-a076-78bc26ad5a7b · inbound

On the Difficulty of Learning a Meta-network for Training Data Selection cites this paper.

On the Difficulty of Learning a Meta-network for Training Data Selection CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:34.825976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.