Paper Citation Record · LEDGER

A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2009.13818.

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

pith.paper-citation-record.v1
2009.13818 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:39.449835Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:24:12.060900Z

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 d39b57eb-9503-4404-8287-f1ea14b44378 · inbound

Text and Code Embeddings by Contrastive Pre-Training cites this paper.

Text and Code Embeddings by Contrastive Pre-Training A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.064449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e54f382-9be5-4ce8-92e9-cdb4aa4e4cd5 · inbound

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation cites this paper.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:39.449835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd651427-de8f-4354-891b-8076faf91981 · inbound

Optimal Multi-Task Learning at Regularization Horizon for Speech Translation Task cites this paper.

Optimal Multi-Task Learning at Regularization Horizon for Speech Translation Task A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T10:17:22.486759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aacef3bc-9217-40d9-8880-a3d3eea812f0 · inbound

Contrastive Representation Regularization for Vision-Language-Action Models cites this paper.

Contrastive Representation Regularization for Vision-Language-Action Models A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-04T12:55:08.140544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.