Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:07:26.289048Z
Paper Citation Record · LEDGER
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks
As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.22623.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
14 of 14 outbound references displayed
- verified exact0
- verified fuzzy5
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ab9ab504-3bba-4e23-a926-7d52898bc0fa · outbound
This paper cites Aaronson and H.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks Aaronson and H
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:07:27.567736Z
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 e582af3a-8487-4348-ab58-9cbe4a93d46a · outbound
This paper cites Guiding the release of safer e2e conversational ai through value sensitive design.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks Guiding the release of safer e2e conversational ai through value sensitive design
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:07:27.404776Z
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 1dc56d88-dea0-4459-85cc-a633fe6587c8 · outbound
This paper cites The threat of offensive ai to organizations.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks The threat of offensive ai to organizations
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:07:27.252018Z
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 ea04b757-1578-4749-93de-43daf2aa0693 · outbound
This paper cites Artificial intelligence and disinformation: How ai changes the way disinformation is produced, disseminated, and can be countered.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks Artificial intelligence and disinformation: How ai changes the way disinformation is produced, disseminated, and can be countered
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:07:27.034848Z
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 ad915ae9-bb0b-4621-a3d5-38d140b6e5d1 · outbound
This paper cites On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610–623, 2021.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610–623, 2021
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:07:24.935557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9fda6f5-0231-495a-b361-098dfcfb7cd6 · outbound
This paper cites Machine-generated text: A comprehensive survey of threat models and detection methods.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks Machine-generated text: A comprehensive survey of threat models and detection methods
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:07:26.867362Z
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 5e5bdddb-7cfa-4339-a346-1f6a6da45d93 · outbound
This paper cites The Ethical Need for Watermarks in Machine-Generated Language.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks The Ethical Need for Watermarks in Machine-Generated Language
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:07:25.236772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8f4f18c-d80e-4eba-9891-4d646781102d · outbound
This paper cites On the Reliability of Watermarks for Large Language Models.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks On the Reliability of Watermarks for Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:07:25.383779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f8b8360-d102-4e16-ac8e-3d56076fa675 · outbound
This paper cites A Watermark for Large Language Models.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks A Watermark for Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:07:25.551736Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4405e1c4-eb86-487c-8ee9-5b5fdea45b16 · outbound
This paper cites Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:07:25.719497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4536582-ca64-4ec2-9c06-5241173a7d65 · outbound
This paper cites Bidirectional encoder representations from transformers (bert): A sentiment analysis odyssey.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks Bidirectional encoder representations from transformers (bert): A sentiment analysis odyssey
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:07:25.846861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a8a43b6-46f3-4be9-a8f9-c02b453c166f · outbound
This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:07:25.999111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 175f1446-50a2-4dde-a467-952d3bd54c6b · outbound
This paper cites Llama: Open and efficient foundation language models, 2023.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks Llama: Open and efficient foundation language models, 2023
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:07:26.115305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf7bdd83-07e5-45c9-abff-e199fcda6be7 · outbound
This paper cites Three Bricks to Consolidate Watermarks for Large Language Models.
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks Three Bricks to Consolidate Watermarks for Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:07:26.289048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.