Pith. sign in

Paper Citation Record · LEDGER

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.14007.

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

pith.paper-citation-record.v1
2402.14007 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:57:38.411489Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a430149a-138a-401b-bc68-9a07e3c5dd8e · inbound

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack cites this paper.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:38.411489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:38.411489Z digest=sha256:38b001bfb9313736a46e858f4f5078fe55b62d322503915c0171ff11d13bdb93

Observation 2f57275f-8895-4ca0-9f3c-3e5b0db847d9 · inbound

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:46:53.171622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:3044a86106d309c477e0a096384fc78ca28f886855a50aafaff4470512df542d

Observation e5a8f64c-e9b8-4952-ba2a-89ce2bca1233 · 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 Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T14:26:28.129264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T14:25:25.576642Z digest=sha256:19f0982d6a54aac96887a9fcb199679ad0e557a335b6a840f11820104ae7267f

Observation e1339782-478c-4446-93dc-7744a6ba3787 · inbound

Signature filtering: a lightweight enhancement for statistical watermark detection in large language models cites this paper.

Signature filtering: a lightweight enhancement for statistical watermark detection in large language models Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-27T01:10:19.961792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T01:06:00.529521Z digest=sha256:7fd7156af5fc452b7906bbeff375232ebb5604cb3db4006de0aa18167c443887