Paper Citation Record · LEDGER

Watermarking Generative Categorical Data

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2411.10898.

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

pith.paper-citation-record.v1
2411.10898 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:17:05.481480Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T01:06:27.868238Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact3
verified fuzzy26
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c9677f8-834f-43d1-91c6-5b8330e1b8e7 · outbound

This paper cites Generative adversarial nets,.

Watermarking Generative Categorical Data Generative adversarial nets,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T19:17:05.309764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5611c70e-47b3-4380-ad2a-c0aa593e7ee7 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Watermarking Generative Categorical Data Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T19:17:05.314622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 965f9068-16b8-4c3a-accd-8c63aa80484c · outbound

This paper cites Consistency models,.

Watermarking Generative Categorical Data Consistency models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:06.095451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81c41aa9-48ba-47c5-9f5f-19f7ddfccf2e · outbound

This paper cites GPT-4 Technical Report.

Watermarking Generative Categorical Data GPT-4 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T19:17:05.323915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74a2c624-d374-422d-91aa-3de96f4f2d19 · outbound

This paper cites The Llama 3 Herd of Models.

Watermarking Generative Categorical Data The Llama 3 Herd of Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T19:17:05.328637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e8552c6-f21a-4356-b463-cabff5442ccc · outbound

This paper cites Pre-trained language models for text generation: A survey,.

Watermarking Generative Categorical Data Pre-trained language models for text generation: A survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:06.080436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bac7c5fc-3802-442a-82d2-9aeefec83224 · outbound

This paper cites Latent diffusion energy-based model for interpretable text modeling.

Watermarking Generative Categorical Data Latent diffusion energy-based model for interpretable text modeling

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:06.064656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67c6274c-1ee4-4914-92d2-aa5c97ea8416 · outbound

This paper cites Modeling tabular data using conditional gan,.

Watermarking Generative Categorical Data Modeling tabular data using conditional gan,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T19:17:05.343678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff6cc7fa-3e1d-4e1a-b0f8-9de88eb662c9 · outbound

This paper cites Tabd- dpm: Modelling tabular data with diffusion models,.

Watermarking Generative Categorical Data Tabd- dpm: Modelling tabular data with diffusion models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:06.039168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af1565c5-e3b9-4706-bf02-2350f89e6f2f · outbound

This paper cites Mixed-type tabular data synthesis with score-based diffusion in latent space,.

Watermarking Generative Categorical Data Mixed-type tabular data synthesis with score-based diffusion in latent space,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:06.023027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bb0db042-a408-4033-ac07-981a2aff38a8 · outbound

This paper cites MissDiff: Training Diffusion Models on Tabular Data with Missing Values.

Watermarking Generative Categorical Data MissDiff: Training Diffusion Models on Tabular Data with Missing Values

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T19:17:05.357822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82c16180-e5bf-4990-bfc1-bed0bfc66de0 · outbound

This paper cites Tabular Data Generation using Binary Diffusion.

Watermarking Generative Categorical Data Tabular Data Generation using Binary Diffusion

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:17:05.615165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dcea6daf-117e-4b59-8c31-5f3fc621f9df · outbound

This paper cites Synthetic Data Applications in Finance.

Watermarking Generative Categorical Data Synthetic Data Applications in Finance

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T19:17:05.368252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff97c9b-7108-4360-99f5-9436f4bff4e8 · outbound

This paper cites Synthetic data in machine learning for medicine and healthcare,.

Watermarking Generative Categorical Data Synthetic data in machine learning for medicine and healthcare,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:06.006917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71f339fe-9cab-4c01-b858-69864d4101b7 · outbound

This paper cites Tree-rings watermarks: Invisible fingerprints for diffusion images,.

Watermarking Generative Categorical Data Tree-rings watermarks: Invisible fingerprints for diffusion images,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.991083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb9d1580-8c6e-42d5-9ae8-188a895edec4 · outbound

This paper cites Provable robust watermarking for ai-generated text,.

Watermarking Generative Categorical Data Provable robust watermarking for ai-generated text,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.975201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 794e3aea-329a-48ee-8d96-eb8a423bc8c6 · outbound

This paper cites A watermark for large language models,.

Watermarking Generative Categorical Data A watermark for large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.960274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d861b7a5-32cd-43f7-8df9-f92d55d677ef · outbound

This paper cites Undetectable watermarks for language models,.

Watermarking Generative Categorical Data Undetectable watermarks for language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.944947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99ec1dad-ec3e-4510-a787-0cd2924c78dd · outbound

This paper cites Watermarking Generative Tabular Data.

Watermarking Generative Categorical Data Watermarking Generative Tabular Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T19:17:05.394926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c77b103-e198-4f9f-aae3-8cd7b0a0eb18 · outbound

This paper cites TabularMark: Watermarking Tabular Datasets for Machine Learning.

Watermarking Generative Categorical Data TabularMark: Watermarking Tabular Datasets for Machine Learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:17:05.563406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6d83760c-397f-41a8-b38a-31730d965f97 · outbound

This paper cites Ripple watermarking for latent tabular diffusion models,.

Watermarking Generative Categorical Data Ripple watermarking for latent tabular diffusion models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.929269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25a87c10-9ce5-4a1c-be2a-bd75f2037e8b · outbound

This paper cites Tamper detection and localization for categorical data using fragile watermarks,.

Watermarking Generative Categorical Data Tamper detection and localization for categorical data using fragile watermarks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.913030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e077f69-2347-4a77-bee2-755b2b5364a7 · outbound

This paper cites Watermarking relational databases,.

Watermarking Generative Categorical Data Watermarking relational databases,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.897937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a51b3a5e-39db-4ac1-bfb1-69f44af89eb7 · outbound

This paper cites Plmmark: a secure and robust black-box watermarking framework for pre- trained language models,.

Watermarking Generative Categorical Data Plmmark: a secure and robust black-box watermarking framework for pre- trained language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.882954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d355fe74-11c6-451f-ac79-8df1a08c3f86 · outbound

This paper cites Three bricks to consolidate watermarks for large language models,.

Watermarking Generative Categorical Data Three bricks to consolidate watermarks for large language models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.868146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f27580c-d9fa-464f-b96b-3ad4ad05c99a · outbound

This paper cites Watermarking gpt outputs,.

Watermarking Generative Categorical Data Watermarking gpt outputs,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.853617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ca18bd4-3f1a-4fa8-a56a-40d3337cef4d · outbound

This paper cites Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs.

Watermarking Generative Categorical Data Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T19:17:05.430828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 092cb47c-3539-48bb-9c30-8f187092a5c8 · outbound

This paper cites GumbelSoft: Diversified language model watermarking via the GumbelMax-trick,.

Watermarking Generative Categorical Data GumbelSoft: Diversified language model watermarking via the GumbelMax-trick,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.838101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2bf9bf6b-4e6a-4815-9c2a-8ae0770cc1d0 · outbound

This paper cites Tree-rings watermarks: Invisible fingerprints for diffusion images,.

Watermarking Generative Categorical Data Tree-rings watermarks: Invisible fingerprints for diffusion images,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.806861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8698633b-a9d0-46cd-8430-79205117d367 · outbound

This paper cites The stable signature: Rooting watermarks in latent diffusion models,.

Watermarking Generative Categorical Data The stable signature: Rooting watermarks in latent diffusion models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.791534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 435db0d6-2a65-43fb-88ed-b6a3786f7da0 · outbound

This paper cites Fingerprinting relational databases: Schemes and specialties,.

Watermarking Generative Categorical Data Fingerprinting relational databases: Schemes and specialties,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.775265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 98c7f9af-ec42-4e1a-9d21-3929872266e1 · outbound

This paper cites Second-lsb-dependent robust wa- termarking for relational database,.

Watermarking Generative Categorical Data Second-lsb-dependent robust wa- termarking for relational database,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.756418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 75d23b3b-be6b-4963-a633-6a667ea4c0f8 · outbound

This paper cites Constructing a virtual primary key for fingerprinting relational data,.

Watermarking Generative Categorical Data Constructing a virtual primary key for fingerprinting relational data,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.740410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 12464b03-0ad5-4981-9f69-fcc9e06668c2 · outbound

This paper cites A double fragmentation approach for improving virtual primary key- based watermark synchronization,.

Watermarking Generative Categorical Data A double fragmentation approach for improving virtual primary key- based watermark synchronization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.724930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 89bd014c-0899-4370-893f-611b1f7e8b59 · outbound

This paper cites Noise-robust water- marking for numerical datasets,.

Watermarking Generative Categorical Data Noise-robust water- marking for numerical datasets,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.708873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5812ac4d-243e-45b2-8488-47c541248738 · outbound

This paper cites A robust database watermarking scheme that preserves statistical char- acteristics,.

Watermarking Generative Categorical Data A robust database watermarking scheme that preserves statistical char- acteristics,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.693596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b818b62-3214-4038-8a87-8444bd2a1fb3 · outbound

This paper cites Adaptive and Robust Watermark for Generative Tabular Data.

Watermarking Generative Categorical Data Adaptive and Robust Watermark for Generative Tabular Data

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:17:05.526198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d9b0f8b-a7d4-4010-ba84-d2810b37978a · outbound

This paper cites Available: https://aclanthology.org/2024.acl-long.315.

Watermarking Generative Categorical Data Available: https://aclanthology.org/2024.acl-long.315

Reference 5808

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:17:05.822123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 8ba87b1b-e2d0-4671-8fdd-b4b9f74183d4 · inbound

RaMark: Radioactive Watermarking for Generated Tabular Data cites this paper.

RaMark: Radioactive Watermarking for Generated Tabular Data Watermarking Generative Categorical Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T01:06:27.868238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.