Paper Citation Record · LEDGER

SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2106.15147.

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

pith.paper-citation-record.v1
2106.15147 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:14:58.092071Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

8
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 75606861-fa7b-488a-ac1d-2da9814191ce · inbound

Advancing Stroke Risk Prediction Using a Multi-modal Foundation Model cites this paper.

Advancing Stroke Risk Prediction Using a Multi-modal Foundation Model SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T20:20:41.171999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3699c76b-2c97-446e-8093-e11fc57d64b2 · inbound

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data cites this paper.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T18:57:50.123553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 983c9510-a16d-4935-b6f8-1106c3e6e237 · inbound

Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining cites this paper.

Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T14:43:23.986334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c6207b-cccb-4966-a863-414a2421f800 · inbound

(GG) MoE vs. MLP on Tabular Data cites this paper.

(GG) MoE vs. MLP on Tabular Data SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T04:26:41.661175Z

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Observation 467c41eb-d9c2-41f6-b82b-ab34392949f6 · inbound

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:35:02.201291Z

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.

Observation f6032d4b-350b-4481-8206-b4fb96653dd5 · inbound

Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning cites this paper.

Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T23:14:58.092071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e413310a-96cf-4ded-b1cb-4081128a93d7 · inbound

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification cites this paper.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:12.166859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317ab0ef-90d7-4b02-926c-9abf1843f931 · inbound

Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection Systems cites this paper.

Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection Systems SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:19:32.619547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0cac709-3c78-4bb3-9eaf-c17744e02539 · inbound

TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning cites this paper.

TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:08.303014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1522d190-6f51-4133-9d16-e14782539685 · inbound

Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL cites this paper.

Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:46.906804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e65ec71e-15c9-4f36-a766-efed9465cc64 · inbound

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts cites this paper.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:51.977787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ab51167-54f3-466d-a957-d7bc3e08d742 · inbound

Cooperative Coevolution versus Monolithic Evolutionary Search for Semi-Supervised Tabular Classification cites this paper.

Cooperative Coevolution versus Monolithic Evolutionary Search for Semi-Supervised Tabular Classification SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:48:19.209566Z

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.

Observation 430e6bf4-4c9f-49b0-9af1-cd89a838f742 · inbound

Evaluating Tabular Representation Learning for Network Intrusion Detection cites this paper.

Evaluating Tabular Representation Learning for Network Intrusion Detection SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:05:34.615584Z

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.

Observation ef99096c-5222-4a86-a065-3a9ca013ecad · inbound

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding cites this paper.

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:21:06.569177Z

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.

Observation 7be05e3d-ce15-4b5f-88cd-ac72f831dfda · inbound

When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach cites this paper.

When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:43:05.516426Z

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.

Observation a56cae30-c471-4dba-ad3a-82a6387b4bae · inbound

RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases cites this paper.

RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:22.339896Z

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.

Observation 392fc40c-5640-4b41-9642-cbadc3d563b3 · inbound

TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular Learning cites this paper.

TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular Learning SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:07:45.095533Z

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.

Observation 0b7c57b2-88c1-424b-88d1-995df939e032 · inbound

TaskFusion: Continual Anomaly Detection for Heterogeneous Tabular Data cites this paper.

TaskFusion: Continual Anomaly Detection for Heterogeneous Tabular Data SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:47:50.482690Z

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.

Observation afea255b-80f8-4e09-ad24-05fb2d540a4c · inbound

SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification cites this paper.

SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:07:21.127701Z

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.

Observation d90ab584-392b-4a91-b5e8-4cb3b09737fe · inbound

The Importance of Encoder Choice:A Tabular-Image Study cites this paper.

The Importance of Encoder Choice:A Tabular-Image Study SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 261

Resolution: verified exact; local_arxiv, observed 2026-07-10T19:07:34.921393Z

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.

Observation 1530ced2-d6f2-4b80-8df6-b3f05326a37c · inbound

Self-Supervised Representations for Binary Program Clustering: From Empirical Study to Retrieval-Augmented Learning cites this paper.

Self-Supervised Representations for Binary Program Clustering: From Empirical Study to Retrieval-Augmented Learning SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T08:55:35.733278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7219e40-f84c-4d93-8ea0-5817ae7f0f15 · inbound

iStructTab: Structured Feature Sequencing for Multimodal Learning of Image and Tabular Data cites this paper.

iStructTab: Structured Feature Sequencing for Multimodal Learning of Image and Tabular Data SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:22.854146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8edc1828-15af-4ef7-bf55-90b53e8f7b37 · inbound

Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training cites this paper.

Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T14:23:04.422322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.