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Paper Citation Record · LEDGER

Costs to Consider in Adopting NLP for Your Business

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2012.08958.

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

pith.paper-citation-record.v1
2012.08958 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:24.484270Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:40:24.686160Z

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 aaf90b35-f27b-4432-982b-d314af01ae2f · inbound

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models cites this paper.

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models Costs to Consider in Adopting NLP for Your Business

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:40:24.692024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:40:24.484270Z digest=sha256:f1dddd1f276c7c6674a6e05ae0ee5dcdaccdd052d455df32b1c75280a3bb3b71