Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.14604.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:40:42.297444Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T07:43:14.293758Z
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 aaccd686-180b-4166-a723-df7da04ba9a1 · inbound
Topic-Based Watermarks for Large Language Models cites this paper.
Topic-Based Watermarks for Large Language Models Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:03:43.941704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d9bc650f-6040-4afc-b58a-aa4d6cdb5963 · inbound
MorphMark: Flexible Adaptive Watermarking for Large Language Models cites this paper.
MorphMark: Flexible Adaptive Watermarking for Large Language Models Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:40:42.297444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0757ecd5-4e04-47fb-8d17-dfe36c370fc8 · inbound
A Watermark for Auto-Regressive Image Generation Models cites this paper.
A Watermark for Auto-Regressive Image Generation Models Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:19:02.712147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c2c6c09-d03c-4594-9787-6d34d5e76916 · inbound
MATRIX: Multi-Layer Code Watermarking via Dual-Channel Constrained Parity-Check Encoding cites this paper.
MATRIX: Multi-Layer Code Watermarking via Dual-Channel Constrained Parity-Check Encoding Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:08:26.646816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 55b864dc-4552-4ba7-9ced-7325e3f41f4a · inbound
Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents cites this paper.
Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method
Reference 111
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:21:16.289177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 184cb8a2-3fe3-4929-b142-bd95021bea21 · inbound
Linear Ensembles Wash Away Watermarks: On the Fragility of Distributional Perturbations in LLMs cites this paper.
Linear Ensembles Wash Away Watermarks: On the Fragility of Distributional Perturbations in LLMs Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:43:14.296226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e10d44e0-c09f-4552-8850-be6eb03828d3 · inbound
Toward Stronger Code Watermarking: A Grammar-Driven Approach to Optimizing the Trade-off Between Quality and Detectability cites this paper.
Toward Stronger Code Watermarking: A Grammar-Driven Approach to Optimizing the Trade-off Between Quality and Detectability Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T13:29:55.682502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.