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Paper Citation Record · LEDGER

Automatic Text Summarization Methods: A Comprehensive Review

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.01849.

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

pith.paper-citation-record.v1
2204.01849 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 2026-08-10T00:36:46.249096Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T06:16:20.510975Z

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 40ad528e-dd15-44c2-ac25-188cbf18cd27 · inbound

Unraveling the Capabilities of Language Models in News Summarization cites this paper.

Unraveling the Capabilities of Language Models in News Summarization Automatic Text Summarization Methods: A Comprehensive Review

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-10T00:36:47.050054Z

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=2026-08-10T00:36:46.249096Z digest=sha256:86221d4c39d966c0395a80fbff43bd5c65929e3d3e636d1bcd7e84d2d300252f

Observation 3f073dfd-28db-42e6-b513-6d35a4096416 · inbound

AutoJourn: Multi-Perspective Summarisation, Bias Detection and Bias Neutralisation for LLM-Generated News in Automated Journalism cites this paper.

AutoJourn: Multi-Perspective Summarisation, Bias Detection and Bias Neutralisation for LLM-Generated News in Automated Journalism Automatic Text Summarization Methods: A Comprehensive Review

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-01T13:51:18.455179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:51:18.455179Z digest=sha256:bb279c767ef8f563b8cb53798b02f9d365659b959f84825d7b355c7856238c1a