Pith. sign in

Paper Citation Record · LEDGER

LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.16502.

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

pith.paper-citation-record.v1
2408.16502 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:36:37.841536Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:06:18.109706Z

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 1f46cce3-2852-4933-a77e-ebbb22057052 · inbound

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey cites this paper.

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?

Reference 183

Resolution
unresolved
no resolver link, observed 2026-08-10T04:36:37.841536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:36:37.841536Z digest=sha256:6e84b27a9833213851e7de02295ca173a7f16eb86fc20596ea283209038cac3f

Observation c83eec9b-34eb-4f29-861a-12b44e9858d2 · inbound

AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries cites this paper.

AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:06:18.180604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T20:06:12.030336Z digest=sha256:66a646bb4df821cde15a7cc1b06ed3f1c3f79285f3eb8d75e8fe4fc8bdde8e66