Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2311.08721.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:41:02.574849Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T21:53:59.614850Z
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 c28cafbd-a028-4e26-aa63-59f910b692c8 · inbound
Enhancing Watermarking Quality for LLMs via Contextual Generation States Awareness cites this paper.
Enhancing Watermarking Quality for LLMs via Contextual Generation States Awareness A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:41:02.574849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 438d659e-1b85-4514-b351-241eec7eb58d · 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 A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Reference 122
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:46:52.988304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 65d75607-03b8-452b-97aa-37b2464ef6b1 · inbound
Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.
Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:33:29.549381Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed0a7a7e-ba40-49ef-9799-2913229d626b · inbound
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:25:54.319176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cec9eab5-254f-4bba-82de-b2d52bd422ba · inbound
SWAN: Semantic Watermarking with Abstract Meaning Representation cites this paper.
SWAN: Semantic Watermarking with Abstract Meaning Representation A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:51:09.533667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a066d2e1-a775-4ade-aace-0a7deb6e9983 · inbound
SLAM: Structural Linguistic Activation Marking for Language Models cites this paper.
SLAM: Structural Linguistic Activation Marking for Language Models A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:21:07.032349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 348c5cf1-4042-43e3-887e-9c6ab2eb972a · inbound
Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents cites this paper.
Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Reference 136
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:21:16.190194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0546d89d-714c-4234-83de-e0fe8e51862e · inbound
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness cites this paper.
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T21:53:59.617014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 605138ac-0abe-44b0-8649-e00272f2a767 · inbound
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness cites this paper.
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:13:38.186931Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.