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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:04.595839Z digest=sha256:13eb1256ac9e94a641414dd2c38f8098930784f875b8e1721fc8ab1c0153b399

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:04.660074Z digest=sha256:557a3acfcfccc99e2e0ab65597b8050bed51191fd3159138143df760a3ad6755

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=sha256:50c3083c79c581b825c78e00567f27053b04f6b09e895e40ce1e33bfd1ff4e93

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=sha256:697e2a219f0d8a59751f8c554d7216d493111abbf1293e73d3bcbb227cc2486c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:04.962943Z digest=sha256:a5a398403b83bf99987ab76ce046156d4b83ca7a9b1474ddbe49df5f59299069

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.053428Z digest=sha256:59cfbb215c6618352061ebce7fbf8988caa03eb820ebda43ef4f9fd65b29c0c7

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:fe56076adfd1b776317b223ef7f766391f0b8cac05bd3c5deb6f375a7c6eeb4f

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=sha256:21cafbb9b9d66060494e84aa4f01bd8b0d02baf3461cbc9d10ed945ef6cba3dc

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=sha256:7c07d8aeea91a22f55e6e23cc4959c28bd02e271a8b6665c187ea32924eba440

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.401603Z digest=sha256:3c3214b9e057964065ac77803377da176b1c4d907473e7df9f8f2f15e51071d5

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:af8a409ddb6d0ec104fd520911c9322b82fecb08d68d643b047192d61634f3c1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.548830Z digest=sha256:59a81f143ab82ac09c8e376f4ff389227f42073e0dd490c4c8cee8e1339497bd

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:b9413f9fd0b88b3f9854c5a05e2f6ce786a0a5bdbdd81037eace05e8be41e9b4

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.758588Z digest=sha256:253c6f85f5d207d864f0e4ed59e01cedecb9de7e185bac4bf5b5a5a8c85db6cc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.843595Z digest=sha256:5682e1cc95932bb0c636f5041ba3e8fb8422541d54cb43d4d1eabf874dc1ab48

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=sha256:0b47e2d9c0edbb041be4c410a05f49ef807c7a7387ad3b62c644ecf0c94ee906

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.102851Z digest=sha256:931528e0b7b7ed92dd8a519926bca390893c36e114596c82dfe27f013b3ce448

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:b7cbfc60d441d4a3f2dadeb2dbc8d8cad7f42e3f52af725dfd1b48fa19420906

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:d76285fe3ea8fc8656e94fa6fcf2c1f17ab65237005d505cd880101b1a07c1d2

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:baefb6a0905c45d9b22ba0b4cda382760aa26cbee9cbf2fcaa55e4adf2de7afc

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:fd9bad4b04e7883564b65963d4a5b6e0e263dedcd25ef0238a991c5444566e0f

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=sha256:038989b4017a6a834bb90345c80cd795ac51bf3f318660c3fe55893b18886af8

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=sha256:7a06660af044273baa383c5896e2e7cfe56dafce55a01d22c948a7b035e43481

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.724995Z digest=sha256:714572f3486c44f75c44ea7683cef5f5209658aa24360de3dbea8aa97c23911d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.803133Z digest=sha256:3e7edc3c08264a263624369058d78afb8faae2af17afbd855258d75ab7c9ccdc

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:d290f0cb97d2773fb404a22d8b171705105f8a23d2b3b18730f9290cb997415e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.955385Z digest=sha256:77c34e78a6929ff76479a461be72931a40811db2ba919752947b086041b6dab4

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=sha256:6961c4f7e35ad65ab6a57ce81035322fa2f6b0729f233a706f951a0291e8b66f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.099629Z digest=sha256:06b0dde851f04fec5f39d80ecb1a5684c2fe20aff583b689da56c8f8224e486f

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=sha256:24c7740f988dd16cab46bcd3f9fdd86eefe4af8c4bd437d21e194d61f9824774

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=sha256:317783fd219f6cfd23a0594483a19295631e3f27b6a1c081caf351d20b75e1aa

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.364040Z digest=sha256:e146be1a17efab197622fc9c061eeacb6cdedbf001b93aca2c834a878cb3c42d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.428835Z digest=sha256:e70229efee57f00a144609bdbef93ad1ba2a24ea39bf18051ba51b02535177d5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.513975Z digest=sha256:14ff0319468966fcc3a79a81aab69c702d8182de7a2f1810912202bb77ff2b59

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:a5707e8c660a17752539e7bff0dc3eb19ddcb6800cfe091febb842c815a40122

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=sha256:7ec01e024c28466ae86d695767dad4c3ff3b0403e7cd3314e72698672940aba0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.747038Z digest=sha256:382a7729912b4f3df01e565ab09ef943648f275f14853bb63a10e174eb6d0f3e

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

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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:c7d944a3c5fdf81f4d157c7c823c28ebd42a960ae216af3b03296bf0707edd0c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.879673Z digest=sha256:bce145d7d40ee17f25ff237e3a6e20c6577d8beb3cd8b5817c9334a32023d5cb

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.952794Z digest=sha256:f1cf480031500303343bc4c53d6e3551108a0da2c0246b161798b2d2c3cbe385

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=sha256:8c2d01ddab3b422b994b68cc3fd9a9d887e68012dfdf50c96af2c851f2177559

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:d25a7afee07a3da665b40c8cc1489db49266f848e3703a4c9f5c1fb2f4bbfb74

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

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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=sha256:89b34cfe4cb20ede412ba85622b3194b56f25e3083c20c1ad4e8cc0128e4204f

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T04:55:11.101649Z digest=sha256:2dac80d15b26e4fd291f98d1ca9913be50e50603baad6434b84a593c90ce22ca

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=sha256:8c2f60ace16b9805f930cd805db6c04643f97d66755a15304837f1ca73c2a907

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=sha256:14c091db011652f1e3689934b724fa7b17f45f028c90b1561c84f25eaf7e2d47