Paper Citation Record · LEDGER

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2509.06990.

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

pith.paper-citation-record.v1
2509.06990 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:31:41.992723Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T07:22:59.854042Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T07:23:00.024711Z

Reference resolution

29 of 29 outbound references displayed

verified exact2
verified fuzzy15
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11587778-2f82-41ab-a841-574b9c3494a8 · outbound

This paper cites Dinobloom: a foundation model for generalizable cell embeddings in hematology.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Dinobloom: a foundation model for generalizable cell embeddings in hematology

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.327293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 574e8864-09e0-4601-af17-a129ab4990db · outbound

This paper cites General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:31:42.143247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64ce0105-d186-49eb-b225-db455410c918 · outbound

This paper cites Continual pre-training of large language models: How to re-warm your model? In Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Continual pre-training of large language models: How to re-warm your model? In Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.317126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7a52199-8fd9-471e-914d-1d556807ffc8 · outbound

This paper cites Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:41.909990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2d463c1-eb4c-477e-ac3a-5120a5b4abfa · outbound

This paper cites Efficient domain continual pretraining by mitigating the stability gap.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Efficient domain continual pretraining by mitigating the stability gap

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.308021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 086f93d2-2f9b-429d-8f4c-6b0307f3dac7 · outbound

This paper cites DINOv3.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining DINOv3

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:41.917100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b104c4a9-205e-4e58-8df9-09cd24f82921 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining DINOv2: Learning Robust Visual Features without Supervision

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:41.921261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 792168ae-865c-4cbb-a751-a9175c459f33 · outbound

This paper cites Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:31:42.091066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4b88302a-e653-41c0-a9e2-9ea8b196e149 · outbound

This paper cites Are Large-scale Datasets Necessary for Self-Supervised Pre-training?.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Are Large-scale Datasets Necessary for Self-Supervised Pre-training?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:41.927722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5b8792a-c2db-47f6-84b0-67af81ffca8a · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Imagenet: A large-scale hierarchical image database

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:41.930975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4d15b0-d81b-4e62-a4e7-bb54f44ff2b0 · outbound

This paper cites Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.292641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ca9cbeb-0f7d-4fc4-b0ec-118654b5fcff · outbound

This paper cites Cross-entropy is all you need to invert the data generating process.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Cross-entropy is all you need to invert the data generating process

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.282576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ace55dfa-eb10-4198-8d5d-fe01c784e215 · outbound

This paper cites Image BERT pre-training with online tokenizer.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Image BERT pre-training with online tokenizer

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.272954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c63e5ba1-58ac-4804-b153-56810bf1c78e · outbound

This paper cites Masked autoencoders are scalable vision learners.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Masked autoencoders are scalable vision learners

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.263411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e2f9394-d175-4596-baf2-6d3120e8e2f9 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:41.946220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b31d4c71-47e1-43fe-be16-af9391b5e919 · outbound

This paper cites Medmnist classification decathlon: A lightweight automl benchmark for medical image analysis.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Medmnist classification decathlon: A lightweight automl benchmark for medical image analysis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.253594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e6656ae-f9b3-49f9-89c6-dbbbb946b622 · outbound

This paper cites Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.244684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15ee69bc-312e-4a5f-a8b7-38b925b8afe8 · outbound

This paper cites Dataset of breast ultrasound images.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Dataset of breast ultrasound images

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:41.955476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f01f3d72-3e13-4661-8cbc-835ded49db90 · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.229394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab6651b8-3189-4b9e-b3c0-cb2343830805 · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:41.962982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d62d18b-8008-42a5-99ef-609711a2a164 · outbound

This paper cites Kermany, Michael Goldbaum, et al.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Kermany, Michael Goldbaum, et al

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.219272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 56274cf9-4a1f-4cf1-a214-aa02f51e8120 · outbound

This paper cites The Liver Tumor Segmentation Benchmark (LiTS).

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining The Liver Tumor Segmentation Benchmark (LiTS)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:41.970084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e95ba048-f89d-4f64-9ecf-2c35b0462f42 · outbound

This paper cites an unresolved cited work.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T11:31:42.208672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 103b5aa9-4f59-41ce-b9c8-f0219fa52603 · outbound

This paper cites Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.196390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ad7d6ee-3fb8-44e2-b800-3c47a81f6a33 · outbound

This paper cites Galaxy10 DECaLS dataset.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Galaxy10 DECaLS dataset

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.184498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38e7b9b6-6988-44ac-903a-2e440f72cbce · outbound

This paper cites Galaxy zoo decals: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Galaxy zoo decals: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.173764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd035cae-f90e-4a42-92d4-7d73eee299d5 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Fine-Grained Visual Classification of Aircraft

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T11:31:41.986172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fabb8f9-efa8-4652-95e4-0c21184202c3 · outbound

This paper cites Food-101: Mining discriminative components with random forests.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Food-101: Mining discriminative components with random forests

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:31:42.163148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43102139-ca1f-437f-843f-62c706ef59b3 · outbound

This paper cites Decoupled weight decay regularization.

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Decoupled weight decay regularization

Reference 29

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T11:31:42.153435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 42d10a9a-a9f5-48bf-abba-cab6751c1c66 · inbound

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics cites this paper.

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:23:00.026984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.