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Paper Citation Record · LEDGER

Adversarial Reprogramming of Text Classification Neural Networks

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.01829.

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

pith.paper-citation-record.v1
1809.01829 v4

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:17:01.663868Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:01:27.112964Z

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 91100ab9-a510-47be-b52d-59235c18ba6b · inbound

Universal Adversarial Attack on Aligned Multimodal LLMs cites this paper.

Universal Adversarial Attack on Aligned Multimodal LLMs Adversarial Reprogramming of Text Classification Neural Networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T11:17:01.663868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:17:01.663868Z digest=sha256:a8d4427dbd09a972353facfb5f1dba610f045ed0e69f07a95d1493fa001d6d05

Observation 34bc0786-24a1-4728-898e-17750e929df2 · inbound

Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design cites this paper.

Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design Adversarial Reprogramming of Text Classification Neural Networks

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:01:27.116551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T21:01:26.925555Z digest=sha256:70bec4e2391daceb6bf983ea20d7efe0923e8f761b8ec7e8c9a6ccb8df6ccab2