Pith. sign in

Paper Citation Record · LEDGER

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2104.08826.

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

pith.paper-citation-record.v1
2104.08826 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:54:50.954005Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:42:15.248266Z

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 cd503249-e67f-4711-b802-1776c985488d · inbound

Measuring Diversity in Synthetic Datasets cites this paper.

Measuring Diversity in Synthetic Datasets GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-08T04:54:50.954005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:54:50.954005Z digest=sha256:986fe44bb35e8cd128285ef9dfa3d749304ac063d96254b63486a12f307c6b14

Observation 962356cc-a183-4575-86eb-b59d00747245 · inbound

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching cites this paper.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:22:46.312956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:22:46.312956Z digest=sha256:a6db30c207ea5d28aa03cf17f3a993eff06bfaec305d72711f0cff77af85be99

Observation 462d8bf5-fbae-4752-95d5-7e7e1a64470a · inbound

No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection cites this paper.

No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:42:15.249612Z

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.

source=pdf_text observed=2026-05-19T10:38:03.311357Z digest=sha256:8621379c2d4a0c4724221eff6b11961e2211ebb89bd51740cb7551034dc1749e

Observation 19c461a0-09a6-4266-98e1-70345fc5d622 · inbound

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning cites this paper.

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:19.045722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:19.045722Z digest=sha256:b18128ad2f15fb4b06adb22e11c8caac21cbc7c5c41d46a95de7ff65d8bf4b64

Observation 8f3d0bb5-3d28-4fa7-a3ae-6deefd5d474e · inbound

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification cites this paper.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:22.763384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:22.763384Z digest=sha256:85e53a74b43952b6d8615c94feee818fb4b7c30d871b154f0e3d26ee20ee175f