Paper Citation Record · LEDGER

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation

As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2504.12108.

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

pith.paper-citation-record.v1
2504.12108 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:39.718443Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:31:47.523400Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T04:31:47.857512Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy5
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f4f5739-302a-465c-adfd-ace5573834d8 · outbound

This paper cites GPT-4 Technical Report.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.555205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb3ee43d-9c00-4580-95ce-0ad06b01b4df · outbound

This paper cites an unresolved cited work.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:40.466850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2c0294f-1b5e-4bd5-9c6d-c52c3980a8c9 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Training Verifiers to Solve Math Word Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.573243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8e29468-2a0c-4190-91c1-4cc890ef8589 · outbound

This paper cites Context- aware watermark with semantic balanced green-red lists for large language models.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Context- aware watermark with semantic balanced green-red lists for large language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:40.605648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4b3c158a-967f-4c23-8c49-5a77d75c7a08 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Measuring Massive Multitask Language Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.615606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d39603c7-7cb7-4016-b36e-95c86a560ccd · outbound

This paper cites Unbiased Watermark for Large Language Models.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Unbiased Watermark for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.635033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 262f9c87-cb86-4b0f-b1b5-c04efdd24add · outbound

This paper cites Phi-2: The surprising power of small language models.Microsoft Research Blog, 1(3):3,.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Phi-2: The surprising power of small language models.Microsoft Research Blog, 1(3):3,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:40.557759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83185d7b-736a-4d17-99e3-8af67ee66d82 · outbound

This paper cites A Watermark for Large Language Models.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation A Watermark for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.649633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d64f303a-45fc-4724-9099-fecd9ffde321 · outbound

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

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Robust Distortion-free Watermarks for Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.658557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4c0388-9c3b-4c81-99f8-c3947d819c2f · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:40.528240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a96015cb-9b17-4ba9-bdcd-8aa671bb3ff5 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Gemma: Open Models Based on Gemini Research and Technology

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.673950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23a300f6-7a72-4aa7-ab98-f4c76bfcf6d0 · outbound

This paper cites Patil, Ion Stoica, and Joseph E.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Patil, Ion Stoica, and Joseph E

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:40.496932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7feecfff-c957-46c9-b25a-0e696e8432f3 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.691548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c23c3e2c-24ef-4ba2-ac68-62df495d94f0 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.594277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b046762-e1c5-492e-9642-d51421697941 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation OPT: Open Pre-trained Transformer Language Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.702078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a2b7b4c-2e65-4166-b3dd-bfe224abcbd1 · outbound

This paper cites Measuring mathemati- cal problem solving with the math dataset.NeurIPS,.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Measuring mathemati- cal problem solving with the math dataset.NeurIPS,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:40.579308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30eb6510-e3fe-4611-b545-647dc3580133 · outbound

This paper cites The Llama 3 Herd of Models.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation The Llama 3 Herd of Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.580270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f87f7e8d-1650-432f-a8e8-ad97e8c7d9fa · outbound

This paper cites Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.711494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b474a3ca-d37a-4c60-8547-f63f8aae131d · outbound

This paper cites Undetectable Watermarks for Language Models.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Undetectable Watermarks for Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.565365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5400c230-0852-4307-b20e-74e18c605e2b · outbound

This paper cites Hierarchical Neural Story Generation.

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation Hierarchical Neural Story Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:39.587514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f015b503-d6ea-4b1a-b838-1de6d0f9174e · inbound

WorldMark: A Plug-and-Play World Knowledge Interface for Cross-Host Language Model Watermarking cites this paper.

WorldMark: A Plug-and-Play World Knowledge Interface for Cross-Host Language Model Watermarking Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:31:47.864522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.