Paper Citation Record · LEDGER

Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.14141.

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

pith.paper-citation-record.v1
2205.14141 v3

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 2026-08-07T04:25:20.861772Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:07:22.626442Z

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 23f74fca-c1d4-4bc2-85c5-78fb174dcdb1 · inbound

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis cites this paper.

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:20.861772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd7a6fb7-1644-4ea3-b03a-951a02d797fc · inbound

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation cites this paper.

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T13:35:39.417944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 372b216f-f5bb-4f6f-b543-a8a9c1fda723 · inbound

Elastic Attention Cores for Scalable Vision Transformers cites this paper.

Elastic Attention Cores for Scalable Vision Transformers Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:22.628089Z

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 1a5c43d2-757b-4a54-ac0c-d1c754842f59 · inbound

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models cites this paper.

Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T01:23:29.714629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.