Pith. sign in

Paper Citation Record · LEDGER

Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.05190.

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

pith.paper-citation-record.v1
2505.05190 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:51:53.101273Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T18:08:50.533888Z

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 0d1bd644-1cb4-4f12-a9e2-3fcbc50ffe17 · 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 Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:26:27.988391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T14:25:25.576642Z digest=sha256:1540b0d371785659333c2334e3821746e43964b85c66e6c0bf9b75d1bac014da

Observation bc38bb9b-2771-4a3f-85fb-795218aeb810 · inbound

LLM Watermark Evasion via Bias Inversion cites this paper.

LLM Watermark Evasion via Bias Inversion Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:53.101273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:53.101273Z digest=sha256:ef63c9d8e28cdbf6a1f90ffe3f6f65cc560ef6003582ff99e44e075268db7d4b

Observation 1124e082-4798-4019-8342-10c935960daf · inbound

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience cites this paper.

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:06.125744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:21:42.253396Z digest=sha256:228742e17211b5f6cbd48f17db096a19127f0a4df90be903a71a08fbc08f49f0

Observation 481cf040-c941-4a70-9f2c-9e0ee83da755 · inbound

The Impact of AI-Generated Text on the Internet cites this paper.

The Impact of AI-Generated Text on the Internet Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:05:29.804147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:01:29.175202Z digest=sha256:f8fd15c80292fc7bd6cb0610308df95d3e38dcd4e0e587a7cfb45d8ced7912cd

Observation 205c3ce2-7115-42ec-b87a-4b34db4ae8e5 · inbound

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI cites this paper.

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:08:50.536050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T18:08:24.901025Z digest=sha256:f60d7fdebfece5e1138b199c28767e2f5e3b2e45331f73adb7ed6c51c2c8d202