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Paper Citation Record · LEDGER

Generating Datasets with Pretrained Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.07540.

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

pith.paper-citation-record.v1
2104.07540 v3

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:57.641409Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:06:01.777336Z

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 a947d35b-4269-4636-b2d1-837c3286933f · inbound

Explainable AI: XAI-Guided Context-Aware Data Augmentation cites this paper.

Explainable AI: XAI-Guided Context-Aware Data Augmentation Generating Datasets with Pretrained Language Models

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:06:01.781993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:05:57.641409Z digest=sha256:2e9e1c828878cd36bd0e790968b069fb168b40edff9ae4d218dffb0850cfa11e

Observation c8c7ef72-495b-4291-af8a-7c101a035a52 · inbound

SteuerLLM: Local specialized large language model for German tax law analysis cites this paper.

SteuerLLM: Local specialized large language model for German tax law analysis Generating Datasets with Pretrained Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T00:17:24.651314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:17:24.651314Z digest=sha256:b86ee6592370178e7855800d476080b7a5d3f59c48acfb6fc8ab91624129be77