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Paper Citation Record · LEDGER

Constructing Taxonomies from Pretrained Language Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.12813.

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

pith.paper-citation-record.v1
2010.12813 v2

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:57:56.371577Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:57:57.142993Z

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 7b172668-2997-4268-9a99-38f08c8c4fac · inbound

Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study cites this paper.

Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study Constructing Taxonomies from Pretrained Language Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:57:57.149860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:57:56.371577Z digest=sha256:71356dcb9d91bd72a7e584d20e28fd54128605cdc5c3a6d24664b9889f61dd25

Observation 7924ba72-5b7b-44ea-b674-5ccbd6efca59 · inbound

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field cites this paper.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Constructing Taxonomies from Pretrained Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T16:41:44.847706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:41:44.847706Z digest=sha256:6c8f624e6386271ae82db32985d238a62e3a6b707bf0556e0e7ee508382accbc