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Paper Citation Record · LEDGER

Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.02422.

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

pith.paper-citation-record.v1
2404.02422 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:48:42.370827Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T05:48:43.255722Z

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 025356bb-8227-4fdc-bc47-a5112af1ff99 · inbound

LLMsAgainstHate @ NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs cites this paper.

LLMsAgainstHate @ NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:48:43.274076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:48:42.370827Z digest=sha256:3923e5a12d32466cb481b06f4b2378872a97323c2d7de7c9f394735dfa970c81

Observation 773928c2-705d-4149-a07d-cefe31df933a · inbound

A Comprehensive Dataset for Human vs. AI Generated Text Detection cites this paper.

A Comprehensive Dataset for Human vs. AI Generated Text Detection Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T08:03:28.078960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:03:28.078960Z digest=sha256:fc961e2b2adc62ca9e67fbf2c4891d455603c8a96083c42986cb63ada9f87822