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Paper Citation Record · LEDGER

$B^4$: A Black-Box Scrubbing Attack on LLM Watermarks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.01222.

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

pith.paper-citation-record.v1
2411.01222 v3

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:34:34.832662Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T14:26:28.014422Z

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 cc376204-3355-4dc5-95be-1d7e458d6a93 · inbound

A Survey of Attacks on Large Language Models cites this paper.

A Survey of Attacks on Large Language Models $B^4$: A Black-Box Scrubbing Attack on LLM Watermarks

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-15T20:34:34.832662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:34:34.832662Z digest=sha256:8353ad311f7de962404c7d1e6a31d16299f2433523e4fbd63c446c412342b935

Observation 24647137-4683-4c1e-8407-71625bfeb1f6 · inbound

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks cites this paper.

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks $B^4$: A Black-Box Scrubbing Attack on LLM Watermarks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:26:28.017630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-18T14:25:25.576642Z digest=sha256:3b16a4dcf826ffb6a3fb322ffb3ee5776cf9ade5f41b170365198dffa10c8c42