Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.04636.
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 2026-08-07T10:30:13.826133Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T22:46:53.049970Z
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 40ae7243-bf1d-47b4-9afa-e382afbd94ea · inbound
SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption cites this paper.
SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:30:13.826133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de54523a-8a0d-4aa1-9c60-54cd653c7304 · inbound
Towards Provable (In)Secure Model Weight Release Schemes cites this paper.
Towards Provable (In)Secure Model Weight Release Schemes Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:21:55.794064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88d0b193-791c-41f3-b1b3-26dc224a5617 · 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 Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
Reference 160
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:46:53.052513Z
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 599eef83-db65-41a6-b1b9-01b61bdc727a · inbound
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:25:54.374933Z
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 91b27c8d-b3e3-44dd-8dbe-6e028b93206e · inbound
PathMark: Protecting Intellectual Property of Mixture-of-Expert LLMs via Path Watermarks cites this paper.
PathMark: Protecting Intellectual Property of Mixture-of-Expert LLMs via Path Watermarks Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:40:49.755070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.