Pith. sign in

Paper Citation Record · LEDGER

Watermarking Techniques for Large Language Models: A Survey

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.00089.

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

pith.paper-citation-record.v1
2409.00089 v1

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 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:12:38.192534Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:34.592296Z

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 e02fe4e0-59a6-46d0-84a1-70a0e9acd6d4 · 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 Watermarking Techniques for Large Language Models: A Survey

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:46:53.297861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:a1ff15d73b071cb0e753aa2181af22360cc28f492987188ebd6363c7381fa4dd

Observation c6ac6c94-70ae-42df-8dfb-db2441657320 · inbound

Green-Red Watermarking for Recommender Systems cites this paper.

Green-Red Watermarking for Recommender Systems Watermarking Techniques for Large Language Models: A Survey

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:26:17.378098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T05:33:40.420853Z digest=sha256:29e1518d4a7ee231ab0f31c7f8cdce7f2c4745f3266cb31cf59c841ef6502bf1

Observation 50f5c2c6-18fb-4a73-b8e6-660e80b6ad98 · inbound

PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality cites this paper.

PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality Watermarking Techniques for Large Language Models: A Survey

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:09:34.594933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T17:12:38.192534Z digest=sha256:e805cab17dcea86a83943d8be41950cfff7f51abc51c8d32ad89c9f4cb0b8795