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Paper Citation Record · LEDGER

Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:astro-ph/0608064.

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pith.paper-citation-record.v1
astro-ph/0608064 v2

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measured 38 of 38 standing notices

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measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:36:46.059477Z

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Source: pith, observed 2026-07-10T17:27:26.853705Z

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Pith citing papers

Observation 9b82494d-8799-48c7-ae8c-ea5be19d98c1 · inbound

Toward a robust inference method for the galaxy bispectrum: likelihood function and model selection cites this paper.

Toward a robust inference method for the galaxy bispectrum: likelihood function and model selection Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 71

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Observation 347d46ad-b51b-491b-921b-2a6a8ca3bd9a · inbound

Modeling and measuring the anisotropic halo 3-point correlation function: a coordinated study cites this paper.

Modeling and measuring the anisotropic halo 3-point correlation function: a coordinated study Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 90

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Constraints on local primordial non-Gaussianity with 3d Velocity Reconstruction from the Kinetic Sunyaev-Zeldovich Effect cites this paper.

Constraints on local primordial non-Gaussianity with 3d Velocity Reconstruction from the Kinetic Sunyaev-Zeldovich Effect Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 50

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Observation 6d91b75d-a474-497a-8ae6-6f736c5ca7cc · inbound

DESI 2024 V: Full-Shape Galaxy Clustering from Galaxies and Quasars cites this paper.

DESI 2024 V: Full-Shape Galaxy Clustering from Galaxies and Quasars Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 184

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Observation d39b9df5-782b-4ac9-acf6-bf57086c7548 · inbound

Exploring HOD-dependent systematics for the DESI 2024 Full-Shape galaxy clustering analysis cites this paper.

Exploring HOD-dependent systematics for the DESI 2024 Full-Shape galaxy clustering analysis Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 75

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Observation 91da3426-20f9-4d4d-b91e-0cad45c9e366 · inbound

Window convolution of the galaxy clustering bispectrum cites this paper.

Window convolution of the galaxy clustering bispectrum Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 70

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Observation b1572dcb-cdc0-4e2f-acc0-3c4cb0c4f47a · inbound

Tuning the cosmic instrument: robust cosmology through combined probes cites this paper.

Tuning the cosmic instrument: robust cosmology through combined probes Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 119

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CMB-S4: Foreground-Cleaning Pipeline Comparison for Measuring Primordial Gravitational Waves cites this paper.

CMB-S4: Foreground-Cleaning Pipeline Comparison for Measuring Primordial Gravitational Waves Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 103

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Constraints on primordial non-Gaussianity from Quaia cites this paper.

Constraints on primordial non-Gaussianity from Quaia Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 39

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Observation d421d4f0-41da-40df-ac68-c4249c625ecf · inbound

Modelling Galaxy Clustering and Tomographic Galaxy-Galaxy Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model and Redshift Self-Calibration cites this paper.

Modelling Galaxy Clustering and Tomographic Galaxy-Galaxy Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model and Redshift Self-Calibration Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 79

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Observation 80fc6ed5-8a9f-4e11-b3d6-c67974e64409 · inbound

Cosmology and Source Redshift Constraints from Galaxy Clustering and Tomographic Weak Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model cites this paper.

Cosmology and Source Redshift Constraints from Galaxy Clustering and Tomographic Weak Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 83

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Observation f0b26e24-23f1-48ee-b2fa-b5cf606e6951 · inbound

Planck constraints on the scale dependence of isotropic cosmic birefringence cites this paper.

Planck constraints on the scale dependence of isotropic cosmic birefringence Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 59

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Study of the Connected Four-Point Correlation Function of Galaxies from DESI Data Release 1 Luminous Red Galaxy Sample cites this paper.

Study of the Connected Four-Point Correlation Function of Galaxies from DESI Data Release 1 Luminous Red Galaxy Sample Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 74

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Observation bccf6757-ebdf-4fa5-83ef-b14ae651b134 · inbound

Probing the limits of cosmological information from the Lyman-$\alpha$ forest 2-point correlation functions cites this paper.

Probing the limits of cosmological information from the Lyman-$\alpha$ forest 2-point correlation functions Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 56

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Observation a7b2939a-9f74-4f99-873a-6113261cc508 · inbound

The Compressed 3D Lyman-Alpha Forest Bispectrum cites this paper.

The Compressed 3D Lyman-Alpha Forest Bispectrum Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 144

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Observation 06f19bf5-76e1-418a-8e3d-8cb23926295f · inbound

Cosmic Shear constraints from HSC Year 3 with clustering calibration of the tomographic redshift distributions from DESI cites this paper.

Cosmic Shear constraints from HSC Year 3 with clustering calibration of the tomographic redshift distributions from DESI Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 37

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Observation 2eb5d6ce-3baa-445e-b0ae-76c014d263ba · inbound

Cosmic Shear constraints from HSC Year 3 with clustering calibration of the tomographic redshift distributions from DESI cites this paper.

Cosmic Shear constraints from HSC Year 3 with clustering calibration of the tomographic redshift distributions from DESI Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 37

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Observation a2ea6f82-3e50-410a-a1cb-03103af91d77 · inbound

Counting voids and filaments: Betti Curves as a Powerful Probe for Cosmology cites this paper.

Counting voids and filaments: Betti Curves as a Powerful Probe for Cosmology Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 84

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Observation bd84f787-4a47-45c2-8b10-2be9a84d0c7a · inbound

Parity-odd Four-Point Correlation Function from DESI Data Release 1 Luminous Red Galaxy Sample cites this paper.

Parity-odd Four-Point Correlation Function from DESI Data Release 1 Luminous Red Galaxy Sample Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 54

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Observation 6ca1afc7-7cbd-438e-b640-af440d581fa7 · inbound

SPT-3G D1: A Measurement of Secondary Cosmic Microwave Background Anisotropy Power cites this paper.

SPT-3G D1: A Measurement of Secondary Cosmic Microwave Background Anisotropy Power Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 30

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Nearest Neighbour-Based Statistics for 21cm-Galaxy Cross-Correlations in the Epoch of Reionization cites this paper.

Nearest Neighbour-Based Statistics for 21cm-Galaxy Cross-Correlations in the Epoch of Reionization Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 126

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Observation f58b5a17-2112-4e67-9c3e-442929f2cb71 · inbound

DESI DR2 Baryon Acoustic Oscillations from the Lyman Alpha Forest Multipoles cites this paper.

DESI DR2 Baryon Acoustic Oscillations from the Lyman Alpha Forest Multipoles Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 43

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Testing parity with composite-field spectra of BOSS and DESI luminous red galaxies cites this paper.

Testing parity with composite-field spectra of BOSS and DESI luminous red galaxies Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 70

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FolpsD: combining EFT and phenomenological approaches for joint power spectrum and bispectrum analyses cites this paper.

FolpsD: combining EFT and phenomenological approaches for joint power spectrum and bispectrum analyses Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 103

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Constraints on Halo Gas Profiles from Joint kSZ and Galaxy Clustering Analysis of ACT DR6 and CMASS cites this paper.

Constraints on Halo Gas Profiles from Joint kSZ and Galaxy Clustering Analysis of ACT DR6 and CMASS Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 55

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Fewer simulations, sharper covariances: Reducing mock covariance noise with Zeldovich approximation control variates cites this paper.

Fewer simulations, sharper covariances: Reducing mock covariance noise with Zeldovich approximation control variates Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 18

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(The) Wiggles going non-linear Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 52

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(The) Wiggles going non-linear Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

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Tracing Large-scale Structure with the MeerKLASS On-the-Fly Survey: Angular Clustering of Radio Sources at 816 MHz Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

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Revisiting the 'Lensing is Low' Problem with UNIONS cites this paper.

Revisiting the 'Lensing is Low' Problem with UNIONS Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

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The 3D clustering of Lyman Alpha Emitters measured with DESI cites this paper.

The 3D clustering of Lyman Alpha Emitters measured with DESI Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 94

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Cosmology-dependent covariance in galaxy cluster number counts: consequences for parameter inference cites this paper.

Cosmology-dependent covariance in galaxy cluster number counts: consequences for parameter inference Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 40

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meer21cm: an Analysis Pipeline and Comprehensive Toolkit for HI Intensity Mapping cites this paper.

meer21cm: an Analysis Pipeline and Comprehensive Toolkit for HI Intensity Mapping Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 49

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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.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:a609a272f76a2b9a8c15d3a19a07c9bd59e3e4df74189e540f5a6c3cd71c9e10

Observation f7738d27-e478-4608-9a7a-fb48c3ad7841 · inbound

Multipolar structure of the local expansion rate from incomplete sky data cites this paper.

Multipolar structure of the local expansion rate from incomplete sky data Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 100

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verified exact
local_arxiv, observed 2026-07-10T17:27:26.855217Z

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Observation 79cf7497-4809-4d46-ae8a-3797e982d5c5 · inbound

Climbing the $N$-point Ladder Part I: Information in the Higher-Order Configuration-Space Clustering of Dark Matter Halos cites this paper.

Climbing the $N$-point Ladder Part I: Information in the Higher-Order Configuration-Space Clustering of Dark Matter Halos Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-13T05:18:31.649347Z

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Observation d0d386ba-2b86-4a61-b0f8-f267f81e4763 · inbound

Testing the Isotropy of the Universe with the CHIME/FRB Catalog I cites this paper.

Testing the Isotropy of the Universe with the CHIME/FRB Catalog I Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T00:36:14.237711Z

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Observation 504e983b-f3b1-469b-b505-e7a4d35653a3 · inbound

Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models cites this paper.

Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 100

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unresolved
no resolver link, observed 2026-07-31T05:29:29.969050Z

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source=arxiv_source observed=2026-07-31T05:29:29.969050Z digest=sha256:8598e1f899848115ff9dd59c48f4f670dbd3fc95bd4c29b948198c3548656b5e

Observation 8d5b9de6-add7-482e-912f-9347b334f7b2 · inbound

Weighted Webs: Morphology-Informed Marked Fields cites this paper.

Weighted Webs: Morphology-Informed Marked Fields Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-01T00:53:53.630489Z

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source=pdf_text observed=2026-08-01T00:53:53.630489Z digest=sha256:5664ac8e48660f6ec1515ba4190e77bb37252c48d92b418be3e16138715a3fcb