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Paper Citation Record · LEDGER

Large Scale Legal Text Classification Using Transformer Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.12871.

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

pith.paper-citation-record.v1
2010.12871 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:40:40.969103Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:57.696074Z

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 ef1f762d-33d9-4cc2-91a7-de3ad4ff2a69 · inbound

CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models cites this paper.

CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models Large Scale Legal Text Classification Using Transformer Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:40.969103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:40.969103Z digest=sha256:d52dd7cf8127b9803f3427c3e42b7352139fb1b5adc34ac015a92ad59cfd2e4e

Observation 0114bd42-fbd0-4383-bdfe-cfdaa6da783d · inbound

Transformer-Based Language Models Across Domain Verticals: Architectures, Applications and Critical Assessment cites this paper.

Transformer-Based Language Models Across Domain Verticals: Architectures, Applications and Critical Assessment Large Scale Legal Text Classification Using Transformer Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:59:57.697955Z

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=arxiv_source observed=2026-06-26T00:07:22.311907Z digest=sha256:ddc47d38a06fbf0e5299c3c0840e136fc468eb5d2e1d2b5d68a6947e27ee5a25