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Paper Citation Record · LEDGER

Watermark Smoothing Attacks against Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.14206.

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

pith.paper-citation-record.v1
2407.14206 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:31:34.673179Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T19:12:49.660021Z

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 ddb6ece3-b3ae-48bd-8157-c7e6dfac2140 · inbound

SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AI cites this paper.

SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AI Watermark Smoothing Attacks against Language Models

Reference 133

Resolution
unresolved
no resolver link, observed 2026-08-12T18:31:34.673179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:31:34.673179Z digest=sha256:250e2053bd79307013e1c4d850f8ef169365762abf471c7034e2a6950ce5294f

Observation 84d00131-7171-4345-a2d3-8256e2baa9e0 · inbound

GaussMark: A Practical Approach for Structural Watermarking of Language Models cites this paper.

GaussMark: A Practical Approach for Structural Watermarking of Language Models Watermark Smoothing Attacks against Language Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:12:49.683445Z

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=arxiv_source observed=2026-08-10T19:12:45.324023Z digest=sha256:8bca5d4d8142b7d8982191d364694a37761e46a3de14d17b96eef008092e4700

Observation 01dcd123-91e0-498c-b77f-1eee60e2b138 · inbound

Character-Level Perturbations Disrupt LLM Watermarks cites this paper.

Character-Level Perturbations Disrupt LLM Watermarks Watermark Smoothing Attacks against Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T19:46:51.488748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:46:51.488748Z digest=sha256:f5fbcf496756a75ebc3eda73ee6705a2b0e7d356102c1544ba6c0543569b1127