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Paper Citation Record · LEDGER

TextDefense: Adversarial Text Detection based on Word Importance Entropy

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.05892.

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

pith.paper-citation-record.v1
2302.05892 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:26:18.307184Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-12T21:49:05.503078Z

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 a41055b2-7462-4b60-85e1-cc40a18ba290 · inbound

AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection cites this paper.

AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection TextDefense: Adversarial Text Detection based on Word Importance Entropy

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-07-12T21:49:05.506601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-12T21:39:23.683913Z digest=sha256:892a2016f665c39868a4c75767a4cad480ff6238de49a6c68e20ce9c48de6f73

Observation 3622a4f4-9a02-4143-8ff8-eb5f23e730ad · inbound

Evaluation of Adversarial Robustness in Arabic Language Models cites this paper.

Evaluation of Adversarial Robustness in Arabic Language Models TextDefense: Adversarial Text Detection based on Word Importance Entropy

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T01:26:18.307184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:26:18.307184Z digest=sha256:294c72fd95361b48f9135dc8c1696b917e76eac4b730ab1c9da3545f47999528