Paper Citation Record · LEDGER

Observation-Level Watermarking and Detection for Tabular Data

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.10554.

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

pith.paper-citation-record.v1
2607.10554 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:52:33.767274Z

measured 29 of 29 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

29 of 29 outbound references displayed

verified exact1
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9aade80a-01b3-41f8-b9b6-1fe94dfd8f69 · outbound

This paper cites Watermarking of large language models.

Observation-Level Watermarking and Detection for Tabular Data Watermarking of large language models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4fa5471-1591-44ba-bfc6-69a8c48cf498 · outbound

This paper cites Optimal spread spectrum watermark embedding via a multistep feasibility formulation.IEEE Transactions on Image Processing, 18(2):371–387, 2009.

Observation-Level Watermarking and Detection for Tabular Data Optimal spread spectrum watermark embedding via a multistep feasibility formulation.IEEE Transactions on Image Processing, 18(2):371–387, 2009

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08c4cbee-cdbb-4871-9308-c7ced065be7b · outbound

This paper cites Natural language watermarking: Design, analysis, and a proof-of-concept implementation.

Observation-Level Watermarking and Detection for Tabular Data Natural language watermarking: Design, analysis, and a proof-of-concept implementation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 630b4d1d-e1a8-4cef-90b3-facede195bf4 · outbound

This paper cites Distribution-invariant differential privacy.Journal of Economet- rics, 235(2):444–453, 2023.

Observation-Level Watermarking and Detection for Tabular Data Distribution-invariant differential privacy.Journal of Economet- rics, 235(2):444–453, 2023

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef623f12-dff3-45c3-a594-fcdc520db610 · outbound

This paper cites Differential privacy.

Observation-Level Watermarking and Detection for Tabular Data Differential privacy

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7110302c-d3ed-4bce-b718-9b3800434af4 · outbound

This paper cites MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection.

Observation-Level Watermarking and Detection for Tabular Data MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e719082c-ea4a-461a-a6f8-a6ea96c7325f · outbound

This paper cites An undetectable watermark for generative image models.

Observation-Level Watermarking and Detection for Tabular Data An undetectable watermark for generative image models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f87c51a-2793-4145-823a-a1a027329b08 · outbound

This paper cites Watermarking Generative Tabular Data.

Observation-Level Watermarking and Detection for Tabular Data Watermarking Generative Tabular Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33533166-c129-4fe8-9c05-1b1f93a311c6 · outbound

This paper cites Algorithmically effective differentially private synthetic data.

Observation-Level Watermarking and Detection for Tabular Data Algorithmically effective differentially private synthetic data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 300a9e11-d182-4bab-903c-f9f92dcdc1cd · outbound

This paper cites Dct-domain watermarking techniques for still images: Detector performance analysis and a new structure.IEEE Transactions on Image Processing, 9(1):55–68, 2000.

Observation-Level Watermarking and Detection for Tabular Data Dct-domain watermarking techniques for still images: Detector performance analysis and a new structure.IEEE Transactions on Image Processing, 9(1):55–68, 2000

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a76202a-f609-49e7-939f-bd89650dd7dc · outbound

This paper cites Unbiased watermark for large language models.

Observation-Level Watermarking and Detection for Tabular Data Unbiased watermark for large language models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef06c87-8aa1-4c08-8919-efb58e1bbdf2 · outbound

This paper cites A watermark for large language models.

Observation-Level Watermarking and Detection for Tabular Data A watermark for large language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6998b2e-c56f-4622-a770-6eb496121d78 · outbound

This paper cites A statistical framework of watermarks for large language models: Pivot, detection efficiency and optimal rules.The Annals of Statistics, 53(1):322–351, 2025.

Observation-Level Watermarking and Detection for Tabular Data A statistical framework of watermarks for large language models: Pivot, detection efficiency and optimal rules.The Annals of Statistics, 53(1):322–351, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a05f25-bee6-41e5-a025-54349fd900f8 · outbound

This paper cites Wasa: Watermark-based source attribution for large language model-generated data.

Observation-Level Watermarking and Detection for Tabular Data Wasa: Watermark-based source attribution for large language model-generated data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5daf3f63-decf-492b-999e-b37ab64f7673 · outbound

This paper cites A data-driven approach to predict the success of bank telemarketing.Decision Support Systems, 62:22–31, 2014.

Observation-Level Watermarking and Detection for Tabular Data A data-driven approach to predict the success of bank telemarketing.Decision Support Systems, 62:22–31, 2014

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17d7349-780f-47f2-910a-e505d1fe5ba4 · outbound

This paper cites Black-box forgery attacks on semantic watermarks for diffusion models.

Observation-Level Watermarking and Detection for Tabular Data Black-box forgery attacks on semantic watermarks for diffusion models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d810cb9a-3497-48fa-9127-f2f177c5ddb1 · outbound

This paper cites National Health and Nutrition Health Survey 2013-2014 (NHANES) Age Prediction Subset.

Observation-Level Watermarking and Detection for Tabular Data National Health and Nutrition Health Survey 2013-2014 (NHANES) Age Prediction Subset

Reference 17

Resolution: verified exact; doi, observed 2026-07-14T11:00:24.743415Z

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 41ee3b31-0088-4360-9fdd-927d8872c105 · outbound

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

Observation-Level Watermarking and Detection for Tabular Data Adaptive and Robust Watermark for Generative Tabular Data

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e3cc34-9a68-4a8d-bbef-5754cfba78e7 · outbound

This paper cites Unispach: A text-based data hiding method using unicode space characters.Journal of Systems and Software, 85(5):1075–1082, 2012.

Observation-Level Watermarking and Detection for Tabular Data Unispach: A text-based data hiding method using unicode space characters.Journal of Systems and Software, 85(5):1075–1082, 2012

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c88a5679-1691-40ef-a476-8a4a75782b8f · outbound

This paper cites Stegastamp: Invisible hyperlinks in physical photographs.

Observation-Level Watermarking and Detection for Tabular Data Stegastamp: Invisible hyperlinks in physical photographs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cff93d1-58f0-4b40-8984-c4932aaac6a1 · outbound

This paper cites Perceptive self-supervised learning network for noisy image watermark removal.IEEE Transactions on Circuits and Systems for Video Technology, 34(8):7069–7079, 2024.

Observation-Level Watermarking and Detection for Tabular Data Perceptive self-supervised learning network for noisy image watermark removal.IEEE Transactions on Circuits and Systems for Video Technology, 34(8):7069–7079, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ce38d57-efff-4cc7-8485-5b5aea1996f9 · outbound

This paper cites Robust blind image watermarking based on interest points.Virtual Reality & Intelligent Hardware, 6(4):308–322, 2024.

Observation-Level Watermarking and Detection for Tabular Data Robust blind image watermarking based on interest points.Virtual Reality & Intelligent Hardware, 6(4):308–322, 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90e92210-8a40-4088-9652-ac4f0a237d49 · outbound

This paper cites Raw: A robust and agile plug-and-play watermark framework for ai-generated images with provable guarantees.Advances in Neural Information Processing Systems, 37:132077–132105, 2024.

Observation-Level Watermarking and Detection for Tabular Data Raw: A robust and agile plug-and-play watermark framework for ai-generated images with provable guarantees.Advances in Neural Information Processing Systems, 37:132077–132105, 2024

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b875afe-3632-4858-bed0-e5218c13c336 · outbound

This paper cites Watermarking Text Generated by Black-Box Language Models.

Observation-Level Watermarking and Detection for Tabular Data Watermarking Text Generated by Black-Box Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69db7c29-f8f6-4e98-8d65-78673fdbc1ba · outbound

This paper cites PersonaMark: Personalized LLM watermarking for model protection and user attribution.

Observation-Level Watermarking and Detection for Tabular Data PersonaMark: Personalized LLM watermarking for model protection and user attribution

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53999ef1-82eb-4fed-b9ad-2e2816dd9671 · outbound

This paper cites Robust Spectral Watermark for Synthetic Tabular Data.

Observation-Level Watermarking and Detection for Tabular Data Robust Spectral Watermark for Synthetic Tabular Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d96ecb13-e0bc-46e5-b5da-d836f62e1855 · outbound

This paper cites Tabularmark: Watermarking tabular datasets for machine learning.

Observation-Level Watermarking and Detection for Tabular Data Tabularmark: Watermarking tabular datasets for machine learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d62761-9a6b-4bc8-87af-88380c453432 · outbound

This paper cites Tabwak: A watermark for tabular diffusion models.

Observation-Level Watermarking and Detection for Tabular Data Tabwak: A watermark for tabular diffusion models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 606830df-b5c8-4c78-8e55-d3d886cfd8d7 · outbound

This paper cites Hidden: Hiding data with deep networks.

Observation-Level Watermarking and Detection for Tabular Data Hidden: Hiding data with deep networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:33.767274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.