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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:04.595839Z digest=sha256:ca9a2880b9e80ddfa24b4b9d6d0b72a57e7515e10e7c844f3a2005e50ffea1de

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:04.660074Z digest=sha256:166f7bf0af12ef6ef7d51494ac9414f9ba6dfd1911547448433fd9d1357a1cf5

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:e72c982fd6335aa85202dfd0c3fc8d62d260b87d6b73abcc057b6af83c18c21f

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:beda20ec825014dfdf0ba0ff560313ae0baa562b222d73d817118e80d5620182

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:04.962943Z digest=sha256:c3c64c258b72595afbce283b78ba0ffe117e4df8f14bf1e5c83491d3c3981e06

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.053428Z digest=sha256:4c36fa3a686c9c9e2617f81e9a38f186e7dc311af8e5d920eda24c0a0891e269

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=sha256:736fbfc923a59f26c6eca7687d5ee8b4675bfb68bc749d03784b288bc9039d87

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=sha256:51a3103b8d5cd3f6fb7db7af9a4d33108075fdf742e1cf3a2468e2bbc168448a

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=sha256:5a2355a9c2b7a3810f95ec129891fcad1c97e553c0fb862d5070eeb5c1b952c7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.401603Z digest=sha256:58b03836020a249ce00a6d39aa2fbed21a44c8ff12ef0500e21b165e74d84b82

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=sha256:3b8ccf78d56f99f727c5a708778c59cc05b8eec568a7dc7efe3f8fcfc05f39bc

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.548830Z digest=sha256:0cf9ef487e53a7da3ac7ff270316df4fdb20d9317bab4ffdbd1b23d1a2c084fc

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=sha256:14782831406b123db289cba25222b684541431b5bd7e536c67fca65ec5716d69

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.758588Z digest=sha256:38862a28294ed1450891ad98ed9f67d8faae670c336b982def2ae1f765f7a59b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:05.843595Z digest=sha256:3ab5c380e29fa8c6e15be7c67ff47e03ea7af917899479371dfca51868d1a0c7

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=sha256:68f8b937f4d86a2e2393806a0e14a34b6d4b24886c013783cd22ca0336e31f36

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.102851Z digest=sha256:aee79e10785ee7cd1cbb7905d80f0bd31dedded62b78c88b4f35db969737628b

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=sha256:96699ff390097b4208951b976586d23eb5afb1795d39d8e99afc79753609fc66

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=sha256:77ecf2a4997cb59ef00fb8146ee5b617a3c3e5553ca3c62bd17fc0a819580b14

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:ce65338b4df801fc52267fc5bf08e8d0393748ce1a588346d157a90cb8566f11

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:d6efd0d3f854ade1e494c43b0bfe1129bc75fa185dee663bf97816eef8be1fce

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=sha256:70a86394ca15527e9419e85dda52f82857e92b43bd24275761b4a4e19b76618c

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=sha256:8e2f7ccf33c03ed42874e6708251d3786cd39d9e5c11c637242dc69acb1a232f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.724995Z digest=sha256:318ac343234aa612e170f51fd0d19024108b02931c6f213ae465861f00b2c27e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.803133Z digest=sha256:528b480b0706e971ff67240441b923ef2eaf06979a9a1c431b655061eec14b69

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:e90225bb154995570757e2e82c7eee359b81c90a6dd7ba1e7c50c0d4a764be56

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:06.955385Z digest=sha256:2bb2a88ddb204f5981714920497e7e00847f41c61d51b514f2de623497583ebb

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:b771fa7adc92ec6079632f2df777d833c47453ca627d67575526727c3e68fade

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.099629Z digest=sha256:b50854c384d020e2b8cea80ab20a6a7b147ee99dcabdbd3b84c37e9da40dd9eb

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:bae7e2f79133ff05f7c0018c1927095476ddfa94a2d09023db7fb70293fc2611

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:c355f541316086076bac6bddcd83cb4bc6ea8ffe245f42fdfe1817d981fc0c14

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.364040Z digest=sha256:90116c7bf22a3cac9e0063ad9debaf33f98f2b2af160d2527bef5ec7a36a3431

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.428835Z digest=sha256:7698cb18fe48278dbaa46af4a6a5a180cea6522312ec6881d20ac4894652a3ab

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.513975Z digest=sha256:52c242b8922762e7b05bd6b305e12f84f3b313639d769c53bca816d4452e6a52

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:b966900b12ee5ed036c7437ffeb83c90e582fd66feacfe019960c4fafe9ea742

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:c16536b1cdb48915349f121e9e368c3969a04fa349a1044f826b60ab8094fb18

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.747038Z digest=sha256:49a60d85caf8abf40def1b39732342e15798fe1b890f93b5ff9e3eb432741c69

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=sha256:901d313e66aaa462bc31abf200ccbc8e168a440df758dfd9dc8a06076fe237f6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.879673Z digest=sha256:c5df95f3fe24d7e72082d7cc39dc39a64ca8d4627d4e173d7e45a851b56210af

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:37:07.952794Z digest=sha256:ef2aebe3eae1ab92274f1200e824a6a6706fcf5238a8c1a9a283c99c419939fb

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

Resolution
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:ab0d88b0353a4b555a57d6a782099e9b12f3b9df360ebd5b7da5aed8a33ec23d

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

Resolution
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:ee70b5be2d68e6b8a859775847b1f0543e710280b3facb4348bd7138acc553bf

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=sha256:4591c5d9a55559a24c1e599ce0c84ef6f9cea6c8f583aab77714f9e7acf81692

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T04:55:11.101649Z digest=sha256:476a329a75ecaf2535fa477feb6ac52211eb678a41ad19fe689b10e11e14fe00

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=sha256:9fafb74e530af703a4a96250ee28e5e3234a58c9d29d6e348a81acbf96cccaa4

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

Resolution
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:af02462db9f12f5fd83cb9ad70fa0ab5d781e68046fb514d26894229646fc27e