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Paper Citation Record · LEDGER

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2505.24267.

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

pith.paper-citation-record.v1
2505.24267 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:37:08.228433Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T04:59:04.172920Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a8d0ac2-f0d6-433b-a44a-ca59e634edd2 · outbound

This paper cites Watermarking gpt outputs.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Watermarking gpt outputs

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:12.213400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:04.595839Z digest=sha256:854b65ac3bb124b2b01fd488d7560fbdfeced1c8e5be33deb276d08145286416

Observation 40d7ddb0-945c-4e59-b281-cbbe8b83a7b5 · outbound

This paper cites Generating synthetic data in finance: opportunities, challenges and pitfalls.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Generating synthetic data in finance: opportunities, challenges and pitfalls

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:11.995115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:04.660074Z digest=sha256:a6b02b37c5b848ebcc3bf545fcce85e547bd09067a5d657614b341d4ff754bbc

Observation eaaec39b-1b71-4bfd-abc2-1d3a0b864fec · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:04.776426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:04.776426Z digest=sha256:2bd247e38b10156fff87a7d428cd874899d5aa5727f47faa8350ea5adcb64a38

Observation 56346855-ecb4-4a9a-a2ad-ef942cfac08e · outbound

This paper cites Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:04.893327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:04.893327Z digest=sha256:51a9b0f2fda606620702f54095e649b7c6b79c1cdfb4385edb0616b04de9fb06

Observation f49b3a0b-f474-454f-9541-1b8187c86176 · outbound

This paper cites DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:37:08.559259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:04.962943Z digest=sha256:1972a8f44eebd4d54a817e1f90c6b116cf64017224dad27894e2a18758f2cf3c

Observation dfba2650-4699-4a91-9b99-78d94233b6ac · outbound

This paper cites Undetectable watermarks for language models.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Undetectable watermarks for language models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:11.745836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.053428Z digest=sha256:3ccb12df4862c18fdf294a5fdbe02984f51b283586e162eed6a230b2caa7f1c8

Observation 80d996e6-a9a8-41fd-86e4-543057ffe12a · outbound

This paper cites Scalable watermarking for identifying large language model outputs.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Scalable watermarking for identifying large language model outputs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:05.119536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:05.119536Z digest=sha256:3cdf67e8b44528dcca67a28c2c1ab5fe449b503ef996b994ee5c567f98bc8929

Observation 427063ac-5302-4328-8afc-06d2a6c91bb9 · outbound

This paper cites Diffusion models beat gans on image synthesis.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Diffusion models beat gans on image synthesis

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:05.229820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:05.229820Z digest=sha256:c822a0bfee0a7e8cf31767c22ecc1c584c5517dcc54e7c5da976b20a19318fb6

Observation dc20794f-37a4-43b4-b130-a9930b6edad5 · outbound

This paper cites TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:05.316171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:05.316171Z digest=sha256:a130a3cb1a4f2ea205015c5f442f4d988aeeaea400217346016046f72b19a849

Observation 6db858a7-8566-4351-b290-8c66c5f6548e · outbound

This paper cites Tabular and latent space synthetic data generation: a literature review.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Tabular and latent space synthetic data generation: a literature review

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:11.543832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.401603Z digest=sha256:868926fe08e03311f5080e4b8686d69b166dff1bcf99ee42d3f3a43e35e4dd11

Observation 86901e7c-080f-423e-9758-408d28bb6b04 · outbound

This paper cites WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:05.470651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:05.470651Z digest=sha256:ea3025ace0db4f71f45500c544315d6ef8472ad3ec87831d2c7f459e6267755e

Observation f98fdb23-9e4e-46ce-ba94-2b67520b2f48 · outbound

This paper cites Tabmt: Generating tabular data with masked transformers.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Tabmt: Generating tabular data with masked transformers

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:11.358782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.548830Z digest=sha256:dbb1e3371db9da4537964e944b75b9781421f2016cf37b57e5109867e18b9b61

Observation fff91234-3e47-4149-a72b-017a6bf0f55b · outbound

This paper cites Watermarking Generative Tabular Data.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Watermarking Generative Tabular Data

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:05.637772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:05.637772Z digest=sha256:7fc407414cf27fc37889ae4ecfb63ff3bd34c7a92f2d0ebe04fe9e92bc48314e

Observation 33c95dc4-b0ba-49d3-a4a6-8da379db185f · outbound

This paper cites Synthetic data generation for tabular health records: A systematic review.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Synthetic data generation for tabular health records: A systematic review

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:11.102146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.758588Z digest=sha256:bafa241aa29b7e593176de6ad5b4daa58e0f55010de77700dc699c406b647b77

Observation 25639e77-0652-48bb-a359-73f2ae13bbe5 · outbound

This paper cites On exact inversion of dpm-solvers.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection On exact inversion of dpm-solvers

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:10.842732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.843595Z digest=sha256:cf7e319b3eefbb8b3e2a08b32ad2f9f927a1179185d98b2ee22f386dd6de1052

Observation 64ee12ce-08a9-4fdf-acc2-7c1fa312ecf0 · outbound

This paper cites Unbiased Watermark for Large Language Models.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Unbiased Watermark for Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:06.024066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:06.024066Z digest=sha256:39b54453d3e1dd34136171dd3f813a6275c5ef4cb2732cd6a7df1fb18ab6ecb6

Observation 55d016a7-aeb6-49cc-bde4-095892b0a4db · outbound

This paper cites Robin: Robust and invisible watermarks for diffusion models with adversarial optimization.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Robin: Robust and invisible watermarks for diffusion models with adversarial optimization

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:10.709598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.102851Z digest=sha256:1922afe26138b9db553f46732366232e93cd26c4ecfd7b2147d7b7b7de282974

Observation 58322704-f601-48b8-b026-9df4ee4a8899 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Elucidating the design space of diffusion-based generative models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:06.194161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:06.194161Z digest=sha256:6cbd6e533ed2005c39aba0ec4006077805066f13037632ab7bd4c2e987832652

Observation adf7246f-4675-4b7f-ae5d-8af0c728075c · outbound

This paper cites Auto-Encoding Variational Bayes.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Auto-Encoding Variational Bayes

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:06.287193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:06.287193Z digest=sha256:9dc707541422a940d5d4bb871ec72822b20e85ddad05617320d10511a259fa0d

Observation c20f9b32-958f-49f3-a7da-d992c05ad967 · outbound

This paper cites A watermark for large language models.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection A watermark for large language models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:06.381490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:06.381490Z digest=sha256:56939fdbec30126afbfcabdefd82d4cba1b5fb2a4828313ded71cb62277cd518

Observation 3bcbd947-9678-4be9-9ed8-ac968ed95185 · outbound

This paper cites Tabddpm: Modelling tabular data with diffusion models.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Tabddpm: Modelling tabular data with diffusion models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:06.501494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:06.501494Z digest=sha256:9e699f7b1ed76c4b14bdb40081dc412b6aef6378df24681af97881bb34162aee

Observation 3e531a87-2fc6-42d6-9267-dcea0ee856cd · outbound

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

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Robust Distortion-free Watermarks for Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:06.595951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:06.595951Z digest=sha256:9803f6e961f4a820ad4f5263bef31a465d7a7884ec6962e33a162393c1405d2b

Observation c7158a0a-cddb-41e5-b7f4-645b683b0dd5 · outbound

This paper cites A Semantic Invariant Robust Watermark for Large Language Models.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection A Semantic Invariant Robust Watermark for Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:06.661668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:06.661668Z digest=sha256:45350580bf5e02a2148ae193be785fc4967fa601f6d9af1dc772d535ed25904a

Observation 3c4a6230-519d-4c95-9546-f3c01fcd00a7 · outbound

This paper cites A survey of text watermarking in the era of large language models.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection A survey of text watermarking in the era of large language models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:10.532924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.724995Z digest=sha256:3b317343894d080c19580f4eb2677cf17bf60df0bf436c86b7e37d737c16bfb5

Observation b5c62511-7dbc-47e7-a30c-2a50c49c8abe · outbound

This paper cites Tabular transformers for modeling multivariate time series.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Tabular transformers for modeling multivariate time series

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:10.325057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.803133Z digest=sha256:3277f34e7afe4e35238f4f1002f8f06f2e1083b3397e36e76cb91cde92731b17

Observation 666907ae-5311-4209-a003-01c18dfea5c3 · outbound

This paper cites MarkLLM: An Open-Source Toolkit for LLM Watermarking.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection MarkLLM: An Open-Source Toolkit for LLM Watermarking

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:06.875230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:06.875230Z digest=sha256:11111bc115d2c9c21b02329b7113ea980bd63ed4ffb4ee5056e30c93325dd1bb

Observation 2dd49ba3-e9d9-48c1-9831-152ab49e8f92 · outbound

This paper cites Effective real image editing with accelerated iterative diffusion inversion.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Effective real image editing with accelerated iterative diffusion inversion

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:10.084005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.955385Z digest=sha256:82e6f0bc85309281222d884d78f3ad0177d21170d0442fe94146b9544f22ddcf

Observation 14c3518d-6fe6-4ecd-a5c6-1028a556517a · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection High-resolution image synthesis with latent diffusion models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:07.036367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:07.036367Z digest=sha256:17a7d0abd9320a9196eb9c23b13bba874f7d6c4ccd7b89243cbfc745120ef20d

Observation d8378d43-7b27-4996-b928-bcf3bc651a25 · outbound

This paper cites Tabdiff: a unified diffusion model for multi-modal tabular data generation.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Tabdiff: a unified diffusion model for multi-modal tabular data generation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:09.939920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.099629Z digest=sha256:d2988dac2e1783d0e7be6499c5d4bb75ba19838c702435a6d0db50a2cd87d2d5

Observation acd4f040-8585-405d-aa94-a72a03a0a22d · outbound

This paper cites Denoising Diffusion Implicit Models.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Denoising Diffusion Implicit Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:07.185368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:07.185368Z digest=sha256:85b7826b4cefd2e8277c06ad19a28759b085d903f80bf30fb3e651708401d426

Observation e62ecb67-a06a-4a29-b6cc-5e735f60956c · outbound

This paper cites Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:07.278256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:07.278256Z digest=sha256:5c7723c3381a8d05173e2a2d9e038bdf7d016909a62549abf4d10cdd363a685f

Observation 520c6eea-0067-407c-b7b6-0ed60dffc95d · outbound

This paper cites Quantile normalization -- Wikipedia , the free encyclopedia.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Quantile normalization -- Wikipedia , the free encyclopedia

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:09.733369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.364040Z digest=sha256:3a7d2b49e8bbaac30707cdfacf64213173a16ee9d1f841042efdf386d7f39310

Observation e006e488-9c95-4815-a379-f4e2a477414c · outbound

This paper cites A survey on llm-generated text detection: Necessity, methods, and future directions.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection A survey on llm-generated text detection: Necessity, methods, and future directions

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:09.512284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.428835Z digest=sha256:c75807acf14cf11e5af3b86d35f872d3ad6969cc4607305855c249c02b83cfad

Observation c8ba6adf-6722-4f69-a5e2-481e6e0d1ab6 · outbound

This paper cites Gaussian shading: Provable performance-lossless image watermarking for diffusion models.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Gaussian shading: Provable performance-lossless image watermarking for diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:09.332290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.513975Z digest=sha256:7c7f6788ac28038fcafcf3478335d744b5b107c68d69728936b89e79ebbaf2fa

Observation d2df0b1b-d5b2-4b59-be46-83297c6246e6 · outbound

This paper cites Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:07.605554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:07.605554Z digest=sha256:5f7eb37c78bb4bb3fc347de1694eecab4df05803ae98839bdea1abe229ee95c4

Observation 412aa208-7f17-478f-a272-5bf7af86086a · outbound

This paper cites DiffPuter: Empowering Diffusion Models for Missing Data Imputation.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection DiffPuter: Empowering Diffusion Models for Missing Data Imputation

Reference 37

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unresolved
no resolver link, observed 2026-08-07T12:37:07.673255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:07.673255Z digest=sha256:fba142278b9cc85ca89eb5dea990b6c8afcdaf5ba2d88acb52436ec0298dba36

Observation c9177b8d-5776-44ec-b1d0-237d2fa9097e · outbound

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

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Mixed-type tabular data synthesis with score-based diffusion in latent space

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-07T12:37:09.178687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.747038Z digest=sha256:6c8b7b6c6e2dc6a07b1df5160f37aed8a9a18e265109fa47f4f671728eee8a17

Observation 8ec1d7c5-9ee2-4b3e-a277-8e68879de188 · outbound

This paper cites Provable Robust Watermarking for AI-Generated Text.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Provable Robust Watermarking for AI-Generated Text

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:07.806777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:07.806777Z digest=sha256:e6fea5ebdcbe9c37b49ffbfbe0d039c9cafeb9b74fc0aa270bc429ea8157b5a3

Observation 2a005ff7-5a06-4111-ab01-90ebda3bcd8d · outbound

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

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Tabularmark: Watermarking tabular datasets for machine learning

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-07T12:37:08.961268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.879673Z digest=sha256:71d24da13821d755685ee910044bb34051429d69ad91f4d55b826c5febac0500

Observation 40b8dac8-16e2-41c2-8096-6c4324b51acf · outbound

This paper cites Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos, and Lydia Y.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos, and Lydia Y

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:37:08.756918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.952794Z digest=sha256:6c1c1facb07e00afad4169d652b2630423f50bd86d642058d60ba7825df76be7

Observation 1871ef3f-0f8c-40d2-a38e-5f1faa60111f · outbound

This paper cites @esa (Ref.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection @esa (Ref

Reference 42

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unresolved
no resolver link, observed 2026-08-07T12:37:08.026741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:08.026741Z digest=sha256:73fd16b21eea72e7f29637447169e9e0a8c4efbb8ddf960110698500519bdae4

Observation 0269e868-edda-48d6-b1b2-948ae0b22c79 · outbound

This paper cites an unresolved cited work.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Unresolved cited work

Reference 43

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unresolved
no resolver link, observed 2026-08-07T12:37:08.125376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:08.125376Z digest=sha256:78f81ef4b005519a23e46f2107146c60773766927f14b24f5f51c28572d5026c

Observation 06e69e1d-d8fd-444a-bc0e-b2b1cd7d28f1 · outbound

This paper cites VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking.

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:08.228433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:08.228433Z digest=sha256:6b020f460c808ceca020ee9a99c6a0afef257edf5e7f8ee6cee4ac5f86af8fd8

Pith citing papers

Observation 1986fb6b-31c5-4c11-8ef6-4059972c7137 · inbound

Robust Spectral Watermark for Synthetic Tabular Data cites this paper.

Robust Spectral Watermark for Synthetic Tabular Data MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:59:04.175565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T04:55:11.101649Z digest=sha256:fb0aabce7df62d0b29f5a0a6fa0007c5c0cf226a178c61457f4e7e25bd2c9926

Observation 6b6fc8a4-ad7f-43a3-b0e3-774565e7f6b6 · inbound

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

RaMark: Radioactive Watermarking for Generated Tabular Data MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection

Reference 16

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:06:27.868238Z digest=sha256:77633b8f2e9451a4e15c52c419bc93373b70e01d8813540d3e60385c5288cea5

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

Observation-Level Watermarking and Detection for Tabular Data cites this paper.

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

Reference 6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:52:33.767274Z digest=sha256:5469e39f6e75352db91282ccfc5672f88db9dfa8cafffe9c293534d859511809