Paper Citation Record · LEDGER

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks

As of 15 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 2 inbound Pith citation observations for arXiv:2502.00724.

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

pith.paper-citation-record.v1
2502.00724 v2

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Reference resolution

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Outbound references

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Unresolved cited work

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This paper cites Range-direction tracking and Bayesian Cramer–Rao bound analysis in mmwave systems equipped with im- perfect transceivers,.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Range-direction tracking and Bayesian Cramer–Rao bound analysis in mmwave systems equipped with im- perfect transceivers,

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This paper cites Bayesian Cram ´er-Rao lower bounds for magnetic field-based train localization,.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Bayesian Cram ´er-Rao lower bounds for magnetic field-based train localization,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Phase noise in mimo systems: Bayesian Cram´er–Rao bounds and soft-input estimation,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Bayesian bounds for matched-field parameter estimation,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Asymptotically tight misspecified bayesian cram ´er-rao bound,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks On the limitations of the bayesian cram ´er-rao bound for mixed-resolution data,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Optimal adaptive waveform design for cognitive mimo radar,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Bayesian sequential parameter estimation by cognitive radar with multiantenna arrays,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Conditional posterior Cram ´er– Rao lower bounds for nonlinear sequential bayesian estimation,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Optimal ratio between co- herent and orthogonal signals in sparse mimo radar,

Reference 11

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Sepit: Approaching a single channel speech separation bound,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Fisher information neural estimation,

Reference 13

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Empirical non-parametric estimation of the fisher information,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Generative modeling by estimating gradients of the data distribution,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Normalizing flows: An introduction and review of current methods,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Learning to bound: A generative Cram´er-Rao bound,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Learned generative misspecified lower bound,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Learning the Barankin lower bound on doa estimation error,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Normalizing flows for probabilistic modeling and inference,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks A generative Cram´er-Rao bound on frequency estimation with learned measurement distribution,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Bayesian Cram ´er-Rao bound estimation with score-based models,

Reference 22

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Estimation of non-normalized statistical models by score matching

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Noise flow: Noise modeling with conditional normalizing flows,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Towards robust data- driven underwater acoustic localization: A deep cnn solution with per- formance guarantees for model mismatch,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Vtuad: Vessel type underwater acoustic data,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Model-based deep learning: On the intersection of deep learning and optimization,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Model-based deep learning,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Physics-informed computer vision: A review and perspectives,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Physics-guided, physics-informed, and physics-encoded neural networks and operators in scientific comput- ing: Fluid and solid mechanics,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Application of physics encoded neural networks to improve predictability of properties of complex multi-scale systems,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Estimating density models with truncation boundaries using score matching,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Generalized score matching for non- negative data,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Generalized score matching for general domains,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Conditional Generative Adversarial Nets

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Conditional adversarial generative flow for controllable image synthesis,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Classifier-free diffusion guidance,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks The effects of ship noise on marine mammals—a review,

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Learned Bayesian e Cram ´er Rao bound,

Reference 39

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Bayesian bounds for parameter estimation and nonlinear filtering/tracking,

Reference 40

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks A general class of lower bounds in parameter estimation,

Reference 41

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Bayesian parameter estimation using single-bit dithered quantization,

Reference 42

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Some extensions of score matching,

Reference 43

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Score-Based Generative Modeling through Stochastic Differential Equations

Reference 44

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Shalev-Shwartz and S

Reference 45

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks An introduction to matrix concentration inequalities,

Reference 46

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Stable Rank and Intrinsic Dimension of Real and Complex Matrices

Reference 47

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Genz and F

Reference 48

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Searching for Activation Functions

Reference 49

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Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks The Cram ´er–Rao bound for signal parameter estimation from quantized data [lecture notes],

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.418289Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8dba3271-9cea-4fdc-90ab-5d42441648ed · outbound

This paper cites The gaussian data assumption leads to the largest Cram´er-Rao bound [lecture notes],.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks The gaussian data assumption leads to the largest Cram´er-Rao bound [lecture notes],

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.407916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ff6e298-7c57-40e8-9725-94411b0eb8af · outbound

This paper cites Decoupled weight decay regularization,.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Decoupled weight decay regularization,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:43.007423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f4a2a9e-f595-4135-96fd-1275f152aedd · outbound

This paper cites Improved techniques for training score-based generative models,.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Improved techniques for training score-based generative models,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.391018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b47ce5f0-d2fb-489d-90a8-91a183408225 · outbound

This paper cites On the perturbation of pseudo-inverses, projections and linear least squares problems,.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks On the perturbation of pseudo-inverses, projections and linear least squares problems,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.382163Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 354fd781-5133-4f33-8464-737e21a71836 · outbound

This paper cites Generic uniform convergence,.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Generic uniform convergence,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.372786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8d6ae1d1-894c-44d4-bb23-07f9e64a595e · outbound

This paper cites The parameters of the NN structures used for the various examples are listed in Table I.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks The parameters of the NN structures used for the various examples are listed in Table I

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.363304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f5740c2-0cc5-48a9-b785-9375c64ba129 · outbound

This paper cites an unresolved cited work.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:02:43.353530Z

Source-reported events for the cited work

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Observation c7beaa20-27a3-419b-a89a-691dac29880d · outbound

This paper cites Each element in A is generated by [A]ij ∼ N(0, 1).

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Each element in A is generated by [A]ij ∼ N(0, 1)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.343964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 31f18707-2a82-4748-9c1b-1d44935fe523 · outbound

This paper cites V .1: Proof.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks V .1: Proof

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.333860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19d30174-5259-431e-b9be-c6c1608bd70f · outbound

This paper cites V .2: Proof.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks V .2: Proof

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.323205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0929f621-6159-4cba-a4bf-4db2d636de33 · outbound

This paper cites V .3: Proof.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks V .3: Proof

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.313156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 963c94de-e27d-4538-a95c-8471f9d71a23 · outbound

This paper cites V .4: Proof.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks V .4: Proof

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.302292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3865aad-8db4-4ae4-b30f-2f23102d2a1d · outbound

This paper cites V .6: Proof.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks V .6: Proof

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.185128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1062409-74b5-4263-908e-f44c4e67ae47 · outbound

This paper cites V .7: Proof.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks V .7: Proof

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.174391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 24134303-94cf-4bdc-b8fd-37eb8ee406f5 · outbound

This paper cites ∂sB Θ|X ; Ω ∂Θ # i,i   = − Z X ,Θ h sB Θ|X ; Ω i i.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks ∂sB Θ|X ; Ω ∂Θ # i,i   = − Z X ,Θ h sB Θ|X ; Ω i i

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.163501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 785352cb-dfe9-4360-8702-dca078686681 · outbound

This paper cites Lemma .9 (Fisher Score is Lipschitz continuous).

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Lemma .9 (Fisher Score is Lipschitz continuous)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.153356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7b7cb3c-788e-4fc7-847c-79952cf4852a · outbound

This paper cites (ακ − 1)2 (κ − al)2 # = (ακ − 1)2 B (ακ − 2, βκ) (ah − al)2 B (ακ, βκ) (114) Next, using the definition of Beta function we have: Eκ.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks (ακ − 1)2 (κ − al)2 # = (ακ − 1)2 B (ακ − 2, βκ) (ah − al)2 B (ακ, βκ) (114) Next, using the definition of Beta function we have: Eκ

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:43.142951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation adc69245-63aa-47b9-b8f7-31fbcdeaf814 · outbound

This paper cites an unresolved cited work.

Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:02:43.132061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 6b71d069-c996-4ba2-b696-b4fcc4ea64fe · inbound

Scoring ISAC: Benchmarking Integrated Sensing and Communications via Score-Based Generative Modeling cites this paper.

Scoring ISAC: Benchmarking Integrated Sensing and Communications via Score-Based Generative Modeling Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T05:12:35.363346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09869ee5-84f7-4891-92b3-b15dbeeae383 · inbound

Weighted Bayesian Cram$\acute{\text{e}}$r-Rao Bound for Mixed-Resolution Parameter Estimation cites this paper.

Weighted Bayesian Cram$\acute{\text{e}}$r-Rao Bound for Mixed-Resolution Parameter Estimation Learned Bayesian Cram\'er-Rao Bound for Unknown Measurement Models Using Score Neural Networks

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:59:20.476453Z

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