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Paper Citation Record · LEDGER

How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.04604.

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

pith.paper-citation-record.v1
2109.04604 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:41:01.078420Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:39:31.349462Z

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 e6812a6a-33f0-4a41-8991-4204a8e89c10 · inbound

Can summarization approximate simplification? A gold standard comparison cites this paper.

Can summarization approximate simplification? A gold standard comparison How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T13:41:01.078420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:41:01.078420Z digest=sha256:7ce8a5971f1d744be7ca6e5efd98a337d6fcf23988a1378b8602f100518b1448

Observation d8af0466-f60f-4319-ac5e-2b2ae071e265 · inbound

QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting cites this paper.

QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks

Reference 112

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:39:31.395090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T17:39:27.417920Z digest=sha256:bbafc36c940b2f0f0c88de152ac6d123cd332b6fa0a771e1899d32b0d631af28