Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2312.00273.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:32:26.310699Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:17:08.422285Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 93cbac66-207b-41d7-a913-0cb8d89951bd · inbound
StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1e74f5c-4983-4ebd-8c14-fcfe7461223c · inbound
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df7dcc56-e712-4715-b398-5ca369364c99 · inbound
Mitigating Watermark Forgery in Generative Models via Randomized Key Selection Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cd42bd27-3196-4578-8c11-8d217dc06411 · inbound
Antidistillation Fingerprinting Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bfd96d6d-c531-4ed9-b174-7ade4cd82329 · inbound
Chainwash: Multi-Step Rewriting Attacks on Diffusion Language Model Watermarks Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8c6b0d3d-da83-4fb6-b002-eb587f48bb82 · inbound
Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 126
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a96c7635-c54a-47d7-aaf8-2291487440a1 · inbound
TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 52bdcb63-5470-40f8-b805-f1663cd064d7 · inbound
TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 97bec6e3-a56f-4c0f-90a0-ddf18867aa10 · inbound
Watermarking Should Be Treated as a Monitoring Primitive Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 08d5a73c-50e3-4ff2-a1c5-2b10c8f925ad · inbound
Watermarking Should Be Treated as a Monitoring Primitive Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7e82fbaf-123b-47d6-a1cf-2db1bb398edb · inbound
Watermarking for Proprietary Dataset Protection Mark My Words: Analyzing and Evaluating Language Model Watermarks
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.