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Paper Citation Record · LEDGER

Watermarking Language Models for Many Adaptive Users

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.11109.

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

pith.paper-citation-record.v1
2405.11109 v2

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T06:05:23.223188Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T06:05:53.717255Z

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 774bff85-78c8-45ac-98dc-a624c589510d · inbound

Administrative Law's Fourth Settlement: AI and the Scrutable State cites this paper.

Administrative Law's Fourth Settlement: AI and the Scrutable State Watermarking Language Models for Many Adaptive Users

Reference 166

Resolution
unresolved
no resolver link, observed 2026-08-03T02:51:55.213655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:51:55.213655Z digest=sha256:45f00b71aab116bf2ae12ff1e6cde5b2c78b6565fabc9014061905492dc6420b

Observation 4e0259e1-333b-4de3-9211-46a25ef343a0 · inbound

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight cites this paper.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Watermarking Language Models for Many Adaptive Users

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T06:05:53.722873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.223188Z digest=sha256:e80db53342ee1292edc53e32297db9e0f2c39c5e157210d457573adc2b7ff53f