Paper Citation Record · LEDGER

Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks

As of 20 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.

pith.paper-citation-record.v1
2506.22623 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:07:26.289048Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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.