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Paper Citation Record · LEDGER

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.09459.

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

pith.paper-citation-record.v1
2010.09459 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T21:06:40.203785Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T21:09:02.592805Z

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 3e10478f-0d2a-47bf-b9a6-0d25c0374aae · inbound

An LLM-Based System for Argument Mining cites this paper.

An LLM-Based System for Argument Mining Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:12:51.219467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T19:10:33.635369Z digest=sha256:a3006fb384a9a6a187f0d5bd546ba362c400277779ebffabd1f0af7760ae8c56

Observation 4b099b5a-f02c-4d84-a403-c041bdcdabc1 · inbound

An LLM-Based System for Argument Mining cites this paper.

An LLM-Based System for Argument Mining Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:09:02.594599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T21:06:40.203785Z digest=sha256:138e02911ba1ca732b61430c72781f531253eaf191bd8549e868717012b44b04