Paper Citation Record · LEDGER

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 4 inbound Pith citation observations for arXiv:2507.23113.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.23113 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:08:35.891901Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:49:10.293225Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T19:21:07.873201Z

Reference resolution

23 of 23 outbound references displayed

verified exact3
verified fuzzy6
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2570303f-5230-4191-9373-b890d87d74b8 · outbound

This paper cites https://www.pleasedu.org/resources/schools-that-banned-a i-detectors.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection https://www.pleasedu.org/resources/schools-that-banned-a i-detectors

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:08:37.987459Z

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 13fdd037-63e0-4305-9336-cd55707eaeed · outbound

This paper cites All experiments were conducted locally using NVIDIA A100-SXM4-40GB GPUs, each with 40GB of VRAM.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection All experiments were conducted locally using NVIDIA A100-SXM4-40GB GPUs, each with 40GB of VRAM

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:08:36.795739Z

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 6646bdee-5901-45c7-b9e1-fc1f7c8354dc · outbound

This paper cites Theoretical Foundations of Conformal Prediction.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Theoretical Foundations of Conformal Prediction

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:33.925647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d8c9c1e-4519-4247-a850-1d64d3ba01a5 · outbound

This paper cites Toefl11: A corpus of non-native english.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Toefl11: A corpus of non-native english

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:08:37.791570Z

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 e980745e-7176-4e42-8a30-96e6ec5eaf37 · outbound

This paper cites an unresolved cited work.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:08:37.611706Z

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 26c8249d-01c4-4987-92c4-e87c87c57205 · outbound

This paper cites Three bricks to con- solidate watermarks for large language models.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Three bricks to con- solidate watermarks for large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:08:37.393306Z

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 4302e8e0-5fe3-4a53-8f18-4a636ed58a8b · outbound

This paper cites Comprehensive ai assessment framework: Enhancing educational evaluation with ethical ai integration.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Comprehensive ai assessment framework: Enhancing educational evaluation with ethical ai integration

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:08:37.151469Z

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 a7d0bc7c-5139-4fe6-96c0-d8749a83e42e · outbound

This paper cites Robust Distortion-free Watermarks for Language Models.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Robust Distortion-free Watermarks for Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:34.556413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95917436-4288-4c4b-b61f-4787f6833b50 · outbound

This paper cites Distribution-free inference with hierarchical data.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Distribution-free inference with hierarchical data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:34.675352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b75348c-ea55-4035-86e3-0d06ab1a68e4 · outbound

This paper cites Instructors as Innovators: A future-focused approach to new AI learning opportunities, with prompts.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Instructors as Innovators: A future-focused approach to new AI learning opportunities, with prompts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:34.765244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 267ca672-d8c2-41ec-a8f5-cc5634de119a · outbound

This paper cites Can AI-Generated Text be Reliably Detected?.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Can AI-Generated Text be Reliably Detected?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:35.254671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f706fc1-762e-413e-9c1e-e0f83b443b6f · outbound

This paper cites Debiasing Watermarks for Large Language Models via Maximal Coupling.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Debiasing Watermarks for Large Language Models via Maximal Coupling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:35.369382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9404ffa0-cb96-4e95-b804-829414fd7546 · outbound

This paper cites Qwen2.5 Technical Report.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Qwen2.5 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:35.456137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a24e8dc-9aca-4cb0-900e-b55f7d7611da · outbound

This paper cites SoK: Watermarking for AI-Generated Content.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection SoK: Watermarking for AI-Generated Content

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:35.551090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a4d545f-981b-46da-9cc3-b9f2399e04aa · outbound

This paper cites Conformalized Adaptive Forecasting of Heterogeneous Trajectories.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Conformalized Adaptive Forecasting of Heterogeneous Trajectories

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:35.632915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5608514-00f6-410f-b0c9-91386d3f096d · outbound

This paper cites Do you agree or disagree with the following statement? It is better to have broad knowledge of many academic subjects than to specialize in one specific subject.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Do you agree or disagree with the following statement? It is better to have broad knowledge of many academic subjects than to specialize in one specific subject

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:08:36.988448Z

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 4600e290-4811-4391-b351-ed7b680330a5 · outbound

This paper cites Distributional Information Embedding: A Framework for Multi-bit Watermarking.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Distributional Information Embedding: A Framework for Multi-bit Watermarking

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:34.327233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceb1c7fe-86c8-45e3-a1b4-c0272b223955 · outbound

This paper cites GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education

Reference 2002

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:08:36.208849Z

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 b2ee5669-3461-4675-a433-0060b3ae0035 · outbound

This paper cites The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:08:36.386231Z

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 5388efa8-2c17-4fcb-a996-36fc24cd6bef · outbound

This paper cites Adoption of watermarking for generative ai systems in practice and implications under the new eu ai act.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Adoption of watermarking for generative ai systems in practice and implications under the new eu ai act

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:35.138561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0aaa099-f9c2-4521-ad76-48ac46748a74 · outbound

This paper cites LLM Watermarking Using Mixtures and Statistical-to-Computational Gaps.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection LLM Watermarking Using Mixtures and Statistical-to-Computational Gaps

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:08:36.637183Z

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 5b9216b3-1b4c-45cb-9279-bca225ef8eb1 · outbound

This paper cites GPT-4 Technical Report.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection GPT-4 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:33.805712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae5f73d5-bc6c-4117-885a-5a7d4bcc9c70 · outbound

This paper cites Phi-4 Technical Report.

Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection Phi-4 Technical Report

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:33.719283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c10908ff-21f6-45df-af26-f9ef3c6cf545 · inbound

Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking cites this paper.

Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:30:23.692575Z

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 7f7dc336-7338-421f-a9c1-5c0e07fb9ff3 · inbound

Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking cites this paper.

Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-12T20:36:38.805344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62dac959-6451-49ae-91d5-aa3bdfab9f93 · inbound

How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation cites this paper.

How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:07.875454Z

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 46842954-d981-4252-ae64-3650746193e7 · inbound

How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation cites this paper.

How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T14:49:10.293225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.