Paper Citation Record · LEDGER

Multi-use LLM Watermarking and the False Detection Problem

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2506.15975.

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

pith.paper-citation-record.v1
2506.15975 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:35:58.860817Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T08:18:41.830466Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:25:33.377321Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy7
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5583585e-ecc7-41ac-b54b-a52824b085b7 · outbound

This paper cites Now, substituteb=s: δ= exp T s 1 e−1 + 1.

Multi-use LLM Watermarking and the False Detection Problem Now, substituteb=s: δ= exp T s 1 e−1 + 1

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:35:59.097306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb815c5f-99f4-4aff-bbda-66f2734bd611 · outbound

This paper cites This observation further highlights the extensibility of our method across different backbones.

Multi-use LLM Watermarking and the False Detection Problem This observation further highlights the extensibility of our method across different backbones

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:35:59.071263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f4b40a6-91f2-4a24-a5e6-bc5c3142e365 · outbound

This paper cites On the Reliability of Watermarks for Large Language Models.

Multi-use LLM Watermarking and the False Detection Problem On the Reliability of Watermarks for Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:35:58.802430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50411199-e7f1-462d-af40-5715178f9729 · outbound

This paper cites GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick.

Multi-use LLM Watermarking and the False Detection Problem GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:35:58.807340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d89f66dc-2bcf-4605-ba9b-6988f7e63397 · outbound

This paper cites Towards Codable Watermarking for Injecting Multi-bits Information to LLMs.

Multi-use LLM Watermarking and the False Detection Problem Towards Codable Watermarking for Injecting Multi-bits Information to LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:35:58.812856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc422fc2-900b-462f-bef6-14ace11e49e3 · outbound

This paper cites Multi-Bit Distortion-Free Watermarking for Large Language Models.

Multi-use LLM Watermarking and the False Detection Problem Multi-Bit Distortion-Free Watermarking for Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:35:58.817783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b02e6f-96d4-40ed-99fb-4116d53a2512 · outbound

This paper cites Provably Robust Multi-bit Watermarking for AI-generated Text.

Multi-use LLM Watermarking and the False Detection Problem Provably Robust Multi-bit Watermarking for AI-generated Text

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:35:58.822868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b40d8dc-4fb3-4c95-83f8-b6ce782f13e2 · outbound

This paper cites an unresolved cited work.

Multi-use LLM Watermarking and the False Detection Problem Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:35:59.032238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b56e2f26-7369-4c14-ab8a-459d5cc3abc3 · outbound

This paper cites green list.

Multi-use LLM Watermarking and the False Detection Problem green list

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:35:59.084615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91125da8-f777-45d7-8de4-babf54b72632 · outbound

This paper cites NoWatermark.

Multi-use LLM Watermarking and the False Detection Problem NoWatermark

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:35:59.059562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf7ef6f8-89ca-47c8-ad1a-badc77bda3d8 · outbound

This paper cites 2 4 6 8 h 0.60 0.65 0.70 0.75 0.80Sim FKE DWI HDWI Figure 13: Text quality with respect to different window sizesh.

Multi-use LLM Watermarking and the False Detection Problem 2 4 6 8 h 0.60 0.65 0.70 0.75 0.80Sim FKE DWI HDWI Figure 13: Text quality with respect to different window sizesh

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:35:59.017273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e20f824-3d40-4b20-8c2b-a039abb9b01d · outbound

This paper cites We evaluated our models on these datasets, and the results are presented in Table 5 and Table.

Multi-use LLM Watermarking and the False Detection Problem We evaluated our models on these datasets, and the results are presented in Table 5 and Table

Reference 200

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:35:59.046538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a10cfbc8-1414-47dc-84e6-e8412b29f463 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Multi-use LLM Watermarking and the False Detection Problem Categorical Reparameterization with Gumbel-Softmax

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-15T19:35:58.828136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2258165a-4497-4ce8-abf6-06f9249eb181 · outbound

This paper cites Language models are few-shot learners.

Multi-use LLM Watermarking and the False Detection Problem Language models are few-shot learners

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T19:35:58.778867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73dd7306-1641-4fa8-b2c3-1c3329a80031 · outbound

This paper cites GPT-4 Technical Report.

Multi-use LLM Watermarking and the False Detection Problem GPT-4 Technical Report

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T19:35:58.784198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f058594-7e0d-4d61-8227-4bf339f9e899 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Multi-use LLM Watermarking and the False Detection Problem LLaMA: Open and Efficient Foundation Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T19:35:58.788827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57415562-5513-4f23-9d7b-a90a34bec6fe · outbound

This paper cites Poisoning scientific knowledge using large language models.bioRxiv, pages 2023–11,.

Multi-use LLM Watermarking and the False Detection Problem Poisoning scientific knowledge using large language models.bioRxiv, pages 2023–11,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:35:59.109825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 880d34eb-dd36-4195-9800-b5f849649a29 · inbound

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking cites this paper.

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Multi-use LLM Watermarking and the False Detection Problem

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:31:06.051031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26e256bb-87fd-4b82-ae6b-64a910d35171 · inbound

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking cites this paper.

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Multi-use LLM Watermarking and the False Detection Problem

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:25:33.378911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.