Anomaly detection with spiking neural networks for LHC physics | Paper Citation Record

Observation 1ec5a79e-008b-490f-a80d-b12730f40d55 · outbound

This paper cites DESI 2024 VII: Cosmological Constraints from the Full-Shape Modeling of Clustering Measurements.

Anomaly detection with spiking neural networks for LHC physics DESI 2024 VII: Cosmological Constraints from the Full-Shape Modeling of Clustering Measurements

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.452649Z

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Observation de26100e-6348-40d9-8949-2454c0239587 · outbound

This paper cites Besuner, A.

Anomaly detection with spiking neural networks for LHC physics Besuner, A

Reference 2

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Observation 857c369e-eea2-4457-bac7-22a24fe96ea0 · outbound

This paper cites Djorgovski and M.

Anomaly detection with spiking neural networks for LHC physics Djorgovski and M

Reference 3

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Observation 996efa04-22a9-4db8-8ea3-0e96f9e42974 · outbound

This paper cites Dressler, D.

Anomaly detection with spiking neural networks for LHC physics Dressler, D

Reference 4

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Observation 7e9748eb-0ce1-4401-9681-f651da7ac882 · outbound

This paper cites Tully and J.R.

Anomaly detection with spiking neural networks for LHC physics Tully and J.R

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.472190Z

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Observation 65525e6b-648a-4bda-86df-83ec5f46253e · outbound

This paper cites Phillips,The absolute magnitudes of Type IA supernovae, ApJ413(1993) L105.

Anomaly detection with spiking neural networks for LHC physics Phillips,The absolute magnitudes of Type IA supernovae, ApJ413(1993) L105

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.477148Z

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Observation ef1c6e27-cc9e-404c-9df3-c8beba604bf6 · outbound

This paper cites The Redshift-Space Momentum Power Spectrum I: Optimal Estimation From Peculiar Velocity Surveys.

Anomaly detection with spiking neural networks for LHC physics The Redshift-Space Momentum Power Spectrum I: Optimal Estimation From Peculiar Velocity Surveys

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.482389Z

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Observation 827077bf-2876-4964-848a-9fcfa8297ead · outbound

This paper cites Cross-correlating radial peculiar velocities and CMB lensing convergence.

Anomaly detection with spiking neural networks for LHC physics Cross-correlating radial peculiar velocities and CMB lensing convergence

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.487062Z

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Observation 86b42d25-6e97-4742-96d4-ae763ae5cbae · outbound

This paper cites Prospects for galaxy-mass relations from the 6dF Galaxy Survey.

Anomaly detection with spiking neural networks for LHC physics Prospects for galaxy-mass relations from the 6dF Galaxy Survey

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:25:45.236515Z

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Observation 4832aeff-9408-4ee2-99c7-5e414f1c1143 · outbound

This paper cites Are peculiar velocity surveys competitive as a cosmological probe?.

Anomaly detection with spiking neural networks for LHC physics Are peculiar velocity surveys competitive as a cosmological probe?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.497141Z

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Observation 737c8ee6-680b-41bd-a778-827e987bd1eb · outbound

This paper cites Cosmological Forecasts for Combined and Next Generation Peculiar Velocity Surveys.

Anomaly detection with spiking neural networks for LHC physics Cosmological Forecasts for Combined and Next Generation Peculiar Velocity Surveys

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.502049Z

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Observation c45f42dd-b0c7-4dd6-a666-80c1979f3c3f · outbound

This paper cites How to measure redshift-space distortions without sample variance.

Anomaly detection with spiking neural networks for LHC physics How to measure redshift-space distortions without sample variance

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.506762Z

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Observation f66b7f89-5b27-44b3-a24b-7b90d2c10e01 · outbound

This paper cites The 6dF Galaxy Survey: Peculiar Velocity Field and Cosmography.

Anomaly detection with spiking neural networks for LHC physics The 6dF Galaxy Survey: Peculiar Velocity Field and Cosmography

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.511224Z

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Observation 24519e26-5501-49c0-ac91-697cc3728dcb · outbound

This paper cites Cosmicflows-3.

Anomaly detection with spiking neural networks for LHC physics Cosmicflows-3

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.515988Z

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Observation a7ec5d7e-5c67-4633-b68f-c41dcb13c35d · outbound

This paper cites 2MTF - VII. 2MASS Tully-Fisher survey final data release: distances for 2,062 nearby spiral galaxies.

Anomaly detection with spiking neural networks for LHC physics 2MTF - VII. 2MASS Tully-Fisher survey final data release: distances for 2,062 nearby spiral galaxies

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.520614Z

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Observation 6a7cc4b9-3053-4618-a198-70f32db174ba · outbound

This paper cites Cosmic Flow Measurement and Mock Sampling Algorithm of Cosmicflows-4 Tully-Fisher Catalogue.

Anomaly detection with spiking neural networks for LHC physics Cosmic Flow Measurement and Mock Sampling Algorithm of Cosmicflows-4 Tully-Fisher Catalogue

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.525160Z

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Observation f715351a-f372-4fa2-b1a5-6ec28d3ed560 · outbound

This paper cites The Sloan Digital Sky Survey Peculiar Velocity Catalogue.

Anomaly detection with spiking neural networks for LHC physics The Sloan Digital Sky Survey Peculiar Velocity Catalogue

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.529631Z

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Observation 4d9fa51b-0b93-4872-987a-cb245eafce57 · outbound

This paper cites Cosmicflows-4.

Anomaly detection with spiking neural networks for LHC physics Cosmicflows-4

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.534448Z

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Observation 5f1244ec-7984-4f4b-a7b1-8c4876bbfdf3 · outbound

This paper cites The 6dF Galaxy Velocity Survey: Cosmological constraints from the velocity power spectrum.

Anomaly detection with spiking neural networks for LHC physics The 6dF Galaxy Velocity Survey: Cosmological constraints from the velocity power spectrum

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.539883Z

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Observation fa5e6448-f938-418e-acdd-8a4029bbffac · outbound

This paper cites 2MTF VI. Measuring the velocity power spectrum.

Anomaly detection with spiking neural networks for LHC physics 2MTF VI. Measuring the velocity power spectrum

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.544431Z

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Observation a7191483-83dc-44ad-a0dd-606c210fccf6 · outbound

This paper cites Adams and C.

Anomaly detection with spiking neural networks for LHC physics Adams and C

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.548874Z

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Observation cb3eafe4-fa55-4a59-8b2f-34ae8a379120 · outbound

This paper cites The Redshift Space Momentum Power Spectrum II: measuring the growth rate from the combined 2MTF and 6dFGSv surveys.

Anomaly detection with spiking neural networks for LHC physics The Redshift Space Momentum Power Spectrum II: measuring the growth rate from the combined 2MTF and 6dFGSv surveys

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.553880Z

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Observation abd7157a-09ad-4d39-96f4-475220307341 · outbound

This paper cites Joint growth rate measurements from redshift-space distortions and peculiar velocities in the 6dF Galaxy Survey.

Anomaly detection with spiking neural networks for LHC physics Joint growth rate measurements from redshift-space distortions and peculiar velocities in the 6dF Galaxy Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.559154Z

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Observation a7b1ed54-db0f-4148-b27a-5cb1e0881a96 · outbound

This paper cites Using peculiar velocity surveys to constrain the growth rate of structure with the wide-angle effect.

Anomaly detection with spiking neural networks for LHC physics Using peculiar velocity surveys to constrain the growth rate of structure with the wide-angle effect

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:25:45.017176Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b218df0e-b2eb-418a-8f71-60f290cf40ff · outbound

This paper cites A local measurement of the growth rate from peculiar velocities and galaxy clustering correlations in the 6dF Galaxy Survey.

Anomaly detection with spiking neural networks for LHC physics A local measurement of the growth rate from peculiar velocities and galaxy clustering correlations in the 6dF Galaxy Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.569006Z

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Observation 70f79189-e949-490b-b14e-84f1dc931def · outbound

This paper cites Reconstructing the cosmological density and velocity fields from redshifted galaxy distributions using V-net.

Anomaly detection with spiking neural networks for LHC physics Reconstructing the cosmological density and velocity fields from redshifted galaxy distributions using V-net

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.574449Z

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Observation 70649917-4933-4475-866b-f6f39cdf3da3 · outbound

This paper cites Constraining modified gravity scenarios with the 6dFGS and SDSS galaxy peculiar velocity datasets.

Anomaly detection with spiking neural networks for LHC physics Constraining modified gravity scenarios with the 6dFGS and SDSS galaxy peculiar velocity datasets

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.579674Z

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Observation 3b42ff30-0101-4ff0-9c10-80a3342032a5 · outbound

This paper cites The Redshift-Space Momentum Power Spectrum III: measuring the growth rate from the SDSSv survey using auto- and cross- power spectrum of the galaxy density and momentum fields.

Anomaly detection with spiking neural networks for LHC physics The Redshift-Space Momentum Power Spectrum III: measuring the growth rate from the SDSSv survey using auto- and cross- power spectrum of the galaxy density and momentum fields

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.584096Z

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Observation 471547ee-5745-4e37-9ac7-5862c26669a3 · outbound

This paper cites Target Selection for the DESI Peculiar Velocity Survey.

Anomaly detection with spiking neural networks for LHC physics Target Selection for the DESI Peculiar Velocity Survey

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.589267Z

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Observation 6d88f48a-de0f-4d24-8bb7-03b483c17ef4 · outbound

This paper cites Taylor, M.

Anomaly detection with spiking neural networks for LHC physics Taylor, M

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.594859Z

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Observation 8bd85d3c-e037-42f4-a7b4-af4b0a1604bc · outbound

This paper cites Growth-rate measurement with type-Ia supernovae using ZTF survey simulations.

Anomaly detection with spiking neural networks for LHC physics Growth-rate measurement with type-Ia supernovae using ZTF survey simulations

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:25:44.920944Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2df623c-a7a1-4108-80ea-57c69f9ff2a7 · outbound

This paper cites WALLABY -- An SKA Pathfinder HI Survey.

Anomaly detection with spiking neural networks for LHC physics WALLABY -- An SKA Pathfinder HI Survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.604821Z

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Observation 31dcb2df-ca62-4abe-972c-81778b4affc4 · outbound

This paper cites Measuring the growth rate of structure with Type IA Supernovae from LSST.

Anomaly detection with spiking neural networks for LHC physics Measuring the growth rate of structure with Type IA Supernovae from LSST

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.610430Z

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Observation b420e723-6aa4-4247-9e5d-623271f0c716 · outbound

This paper cites Forecast for growth-rate measurement using peculiar velocities from LSST supernovae.

Anomaly detection with spiking neural networks for LHC physics Forecast for growth-rate measurement using peculiar velocities from LSST supernovae

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.614962Z

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Observation e503b6e8-47bc-4fb4-a3e7-77651a529676 · outbound

This paper cites Cosmological Parameters from the BOSS Galaxy Power Spectrum.

Anomaly detection with spiking neural networks for LHC physics Cosmological Parameters from the BOSS Galaxy Power Spectrum

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.619463Z

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Observation e7ec6595-6f94-4e3b-9ba9-bc0667dcbaf2 · outbound

This paper cites The Cosmological Analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure.

Anomaly detection with spiking neural networks for LHC physics The Cosmological Analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.623939Z

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Observation 6791a409-4d24-4318-a397-b94e8423b6a1 · outbound

This paper cites A new analysis of galaxy 2-point functions in the BOSS survey, including full-shape information and post-reconstruction BAO.

Anomaly detection with spiking neural networks for LHC physics A new analysis of galaxy 2-point functions in the BOSS survey, including full-shape information and post-reconstruction BAO

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.628286Z

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Observation d4b34d05-416e-458a-9bd0-b88f88ba0a63 · outbound

This paper cites Clustering of dark matter tracers: generalizing bias for the coming era of precision LSS.

Anomaly detection with spiking neural networks for LHC physics Clustering of dark matter tracers: generalizing bias for the coming era of precision LSS

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.633042Z

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Observation 3fb3324d-1977-4c3b-b97c-7c89cf93493d · outbound

This paper cites The Effective Field Theory of Cosmological Large Scale Structures.

Anomaly detection with spiking neural networks for LHC physics The Effective Field Theory of Cosmological Large Scale Structures

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.637705Z

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Observation 354b84cc-4ba3-4cc2-9d06-1b4c8cfee333 · outbound

This paper cites The Lagrangian-space Effective Field Theory of Large Scale Structures.

Anomaly detection with spiking neural networks for LHC physics The Lagrangian-space Effective Field Theory of Large Scale Structures

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.642239Z

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Observation aa27a6bf-6a58-4d43-9038-561ee6cee479 · outbound

This paper cites A Lagrangian effective field theory.

Anomaly detection with spiking neural networks for LHC physics A Lagrangian effective field theory

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.646968Z

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Observation 7f48ccc9-4ed6-4572-b3c8-391b46be6b2a · outbound

This paper cites Biased Tracers in Redshift Space in the EFT of Large-Scale Structure.

Anomaly detection with spiking neural networks for LHC physics Biased Tracers in Redshift Space in the EFT of Large-Scale Structure

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.651461Z

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Observation 71fa996d-34ff-403e-88b0-83ec8eda188b · outbound

This paper cites Large-Scale Galaxy Bias.

Anomaly detection with spiking neural networks for LHC physics Large-Scale Galaxy Bias

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.655971Z

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Observation b534eac8-0a98-46af-890e-eefd456435e1 · outbound

This paper cites Consistent Modeling of Velocity Statistics and Redshift-Space Distortions in One-Loop Perturbation Theory.

Anomaly detection with spiking neural networks for LHC physics Consistent Modeling of Velocity Statistics and Redshift-Space Distortions in One-Loop Perturbation Theory

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.660563Z

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Observation d8ffa5c4-d5f9-4475-ab9b-a8fe69f89aa1 · outbound

This paper cites Blinded challenge for precision cosmology with large-scale structure: results from effective field theory for the redshift-space galaxy power spectrum.

Anomaly detection with spiking neural networks for LHC physics Blinded challenge for precision cosmology with large-scale structure: results from effective field theory for the redshift-space galaxy power spectrum

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.665140Z

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Observation 2a672243-fd02-4488-8da7-0197f07cc270 · outbound

This paper cites Cosmology with the Galaxy Bispectrum Multipoles: Optimal Estimation and Application to BOSS Data.

Anomaly detection with spiking neural networks for LHC physics Cosmology with the Galaxy Bispectrum Multipoles: Optimal Estimation and Application to BOSS Data

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.669966Z

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Observation db7ec2ff-c74f-4a5d-9b62-37cdd696679e · outbound

This paper cites The BOSS bispectrum analysis at one loop from the Effective Field Theory of Large-Scale Structure.

Anomaly detection with spiking neural networks for LHC physics The BOSS bispectrum analysis at one loop from the Effective Field Theory of Large-Scale Structure

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.674834Z

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Observation e035bfc9-d7f8-4ca9-b21b-07012495c377 · outbound

This paper cites A comparison of effective field theory models of redshift space galaxy power spectra for DESI 2024 and future surveys.

Anomaly detection with spiking neural networks for LHC physics A comparison of effective field theory models of redshift space galaxy power spectra for DESI 2024 and future surveys

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.679566Z

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Observation 6d873f9a-ea27-4dd4-bf88-7163f8da2989 · outbound

This paper cites Peculiar velocities in redshift space: formalism, N-body simulations and perturbation theory.

Anomaly detection with spiking neural networks for LHC physics Peculiar velocities in redshift space: formalism, N-body simulations and perturbation theory

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:25:44.649364Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f39fb90-04cb-411a-b43c-9274cbd55cb7 · outbound

This paper cites Understanding redshift space distortions in density-weighted peculiar velocity.

Anomaly detection with spiking neural networks for LHC physics Understanding redshift space distortions in density-weighted peculiar velocity

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:25:44.628510Z

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.

Observation 877cbd2c-3769-4cff-ba24-687f2c5ffff8 · outbound

This paper cites Exploring the Redshift-Space Peculiar Velocity Field and its Power Spectrum.

Anomaly detection with spiking neural networks for LHC physics Exploring the Redshift-Space Peculiar Velocity Field and its Power Spectrum

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.693783Z

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Observation 45cbd872-aca5-47d3-9b5b-79213b64775c · outbound

This paper cites Equivalence Principle and the Baryon Acoustic Peak.

Anomaly detection with spiking neural networks for LHC physics Equivalence Principle and the Baryon Acoustic Peak

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.698484Z

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Observation e0c1d9ba-6723-477e-ac58-aecbf42c1e55 · outbound

This paper cites The IR-resummed Effective Field Theory of Large Scale Structures.

Anomaly detection with spiking neural networks for LHC physics The IR-resummed Effective Field Theory of Large Scale Structures

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.703026Z

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Observation b309671c-3fcb-4699-93ae-9d16e29ee3dc · outbound

This paper cites Perturbation theory, effective field theory, and oscillations in the power spectrum.

Anomaly detection with spiking neural networks for LHC physics Perturbation theory, effective field theory, and oscillations in the power spectrum

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.707662Z

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Observation 805e5f7a-23a2-47df-9672-c24b01bd619a · outbound

This paper cites Time-Sliced Perturbation Theory II: Baryon Acoustic Oscillations and Infrared Resummation.

Anomaly detection with spiking neural networks for LHC physics Time-Sliced Perturbation Theory II: Baryon Acoustic Oscillations and Infrared Resummation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.712920Z

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Observation 9c3e3b29-cd3d-4f4a-a09e-1125b1159478 · outbound

This paper cites The Bispectrum in Lagrangian Perturbation Theory.

Anomaly detection with spiking neural networks for LHC physics The Bispectrum in Lagrangian Perturbation Theory

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.718025Z

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Observation 6706a481-cd55-4aab-ab5f-f2702d4c5d11 · outbound

This paper cites Redshift-Space Distortions, Pairwise Velocities and Nonlinearities.

Anomaly detection with spiking neural networks for LHC physics Redshift-Space Distortions, Pairwise Velocities and Nonlinearities

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.722595Z

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Observation 564d507f-4301-4261-9a79-4944301be45e · outbound

This paper cites Exploring redshift-space distortions in large-scale structure.

Anomaly detection with spiking neural networks for LHC physics Exploring redshift-space distortions in large-scale structure

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.727009Z

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Observation b7551601-7633-4c25-ac05-fac9c0a81369 · outbound

This paper cites Wide angle effects for peculiar velocities.

Anomaly detection with spiking neural networks for LHC physics Wide angle effects for peculiar velocities

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:25:44.489479Z

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.

Observation cf49f37a-5309-4a34-ac5c-050ae14f0d78 · outbound

This paper cites The power spectrum of luminosity distance fluctuations in General Relativity.

Anomaly detection with spiking neural networks for LHC physics The power spectrum of luminosity distance fluctuations in General Relativity

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.735728Z

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Observation 52b2ef86-2729-408d-bd6c-9ac222a89683 · outbound

This paper cites Gorski, M.

Anomaly detection with spiking neural networks for LHC physics Gorski, M

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.740333Z

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Observation 8c305743-eaec-400a-b54a-1de3721accd2 · outbound

This paper cites Groth, R.

Anomaly detection with spiking neural networks for LHC physics Groth, R

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.744962Z

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Observation 4bd93246-2dfe-4983-a819-bd9de24656e7 · outbound

This paper cites Cosmic Momentum Field and Mass Fluctuation Power Spectrum.

Anomaly detection with spiking neural networks for LHC physics Cosmic Momentum Field and Mass Fluctuation Power Spectrum

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:25:44.452563Z

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.

Observation 222141d9-a88b-429e-b912-228f0ca14132 · outbound

This paper cites Streaming velocities as a dynamical estimator of Omega.

Anomaly detection with spiking neural networks for LHC physics Streaming velocities as a dynamical estimator of Omega

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.754216Z

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Observation 8148997b-8d95-44df-b69a-f8603c52784c · outbound

This paper cites Juszkiewicz and A.

Anomaly detection with spiking neural networks for LHC physics Juszkiewicz and A

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.759073Z

Source-reported events for the cited work

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Observation 3c71b5c7-1ef5-4c06-abf0-778c7a8af4c7 · outbound

This paper cites Distribution function approach to redshift space distortions.

Anomaly detection with spiking neural networks for LHC physics Distribution function approach to redshift space distortions

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.763346Z

Source-reported events for the cited work

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Observation 6b88fbd0-74a8-4807-a328-34f82c6dc7e6 · outbound

This paper cites Resumming Cosmological Perturbations via the Lagrangian Picture: One-loop Results in Real Space and in Redshift Space.

Anomaly detection with spiking neural networks for LHC physics Resumming Cosmological Perturbations via the Lagrangian Picture: One-loop Results in Real Space and in Redshift Space

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.768141Z

Source-reported events for the cited work

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Observation ff2cdd5a-5d65-4973-8efe-af92fd66b517 · outbound

This paper cites Convolution Lagrangian perturbation theory for biased tracers.

Anomaly detection with spiking neural networks for LHC physics Convolution Lagrangian perturbation theory for biased tracers

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.772830Z

Source-reported events for the cited work

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Observation 14976b9f-4f54-4504-af7d-21b158a3f3f2 · outbound

This paper cites Lagrangian perturbation theory at one loop order: successes, failures, and improvements.

Anomaly detection with spiking neural networks for LHC physics Lagrangian perturbation theory at one loop order: successes, failures, and improvements

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.777364Z

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Observation f7533b1f-66b5-43a2-b3ab-e316e404f80e · outbound

This paper cites Nonlinear perturbation theory with halo bias and redshift-space distortions via the Lagrangian picture.

Anomaly detection with spiking neural networks for LHC physics Nonlinear perturbation theory with halo bias and redshift-space distortions via the Lagrangian picture

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.782200Z

Source-reported events for the cited work

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Observation e08d705d-f8b6-4f0d-91ba-77d4fdcdccce · outbound

This paper cites The Gaussian streaming model and Lagrangian effective field theory.

Anomaly detection with spiking neural networks for LHC physics The Gaussian streaming model and Lagrangian effective field theory

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.786723Z

Source-reported events for the cited work

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Observation 31111d65-c17b-43b6-8bc2-4d87e4f996e9 · outbound

This paper cites The Reconstructed Power Spectrum in the Zeldovich Approximation.

Anomaly detection with spiking neural networks for LHC physics The Reconstructed Power Spectrum in the Zeldovich Approximation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.791905Z

Source-reported events for the cited work

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Observation d6a61445-6bc9-4f37-bc70-c121258d2cc2 · outbound

This paper cites Redshift-Space Distortions in Lagrangian Perturbation Theory.

Anomaly detection with spiking neural networks for LHC physics Redshift-Space Distortions in Lagrangian Perturbation Theory

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.796852Z

Source-reported events for the cited work

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Observation 70bdca7a-f967-410d-b81d-7ce71efc5512 · outbound

This paper cites Non-linear perturbation theory extension of the Boltzmann code CLASS.

Anomaly detection with spiking neural networks for LHC physics Non-linear perturbation theory extension of the Boltzmann code CLASS

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.801463Z

Source-reported events for the cited work

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Observation 4d00bd31-004e-46e9-917a-149a96387672 · outbound

This paper cites Limits on $w$CDM from the EFTofLSS with the PyBird code.

Anomaly detection with spiking neural networks for LHC physics Limits on $w$CDM from the EFTofLSS with the PyBird code

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.806628Z

Source-reported events for the cited work

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Observation b246de1d-6304-48b8-8d4f-68299e117da1 · outbound

This paper cites Very Massive Tracers and Higher Derivative Biases.

Anomaly detection with spiking neural networks for LHC physics Very Massive Tracers and Higher Derivative Biases

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.811622Z

Source-reported events for the cited work

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Observation cb120ce6-b05b-4825-8f72-fdaec4eb3e22 · outbound

This paper cites Cosmology before noon with multiple galaxy populations.

Anomaly detection with spiking neural networks for LHC physics Cosmology before noon with multiple galaxy populations

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.816106Z

Source-reported events for the cited work

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Observation ecd1ceee-f3d4-4cc7-9b32-3bbfd05b3bbf · outbound

This paper cites An analysis of parameter compression and full-modeling techniques with Velocileptors for DESI 2024 and beyond.

Anomaly detection with spiking neural networks for LHC physics An analysis of parameter compression and full-modeling techniques with Velocileptors for DESI 2024 and beyond

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.820987Z

Source-reported events for the cited work

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Observation f398dfcc-479a-4bb4-b7fb-47b251143e02 · outbound

This paper cites Infrared Resummation for Biased Tracers in Redshift Space.

Anomaly detection with spiking neural networks for LHC physics Infrared Resummation for Biased Tracers in Redshift Space

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.825724Z

Source-reported events for the cited work

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Observation da5c0fd2-ad51-4ed0-a6e6-d0b63fa65cc5 · outbound

This paper cites Precision Redshift-Space Galaxy Power Spectra using Zel'dovich Control Variates.

Anomaly detection with spiking neural networks for LHC physics Precision Redshift-Space Galaxy Power Spectra using Zel'dovich Control Variates

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.830492Z

Source-reported events for the cited work

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Observation ceb2417b-7162-4be8-bd4c-5be882572de3 · outbound

This paper cites Garrison, D.J.

Anomaly detection with spiking neural networks for LHC physics Garrison, D.J

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.835160Z

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Observation 9f92ade0-21aa-4f96-86ca-fd80a33cdf33 · outbound

This paper cites Maksimova, L.H.

Anomaly detection with spiking neural networks for LHC physics Maksimova, L.H

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.839495Z

Source-reported events for the cited work

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Observation 18d1bb5b-986c-4b4f-a092-cd437d2a41fd · outbound

This paper cites \textsc{CompaSO}: A new halo finder for competitive assignment to spherical overdensities.

Anomaly detection with spiking neural networks for LHC physics \textsc{CompaSO}: A new halo finder for competitive assignment to spherical overdensities

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.843776Z

Source-reported events for the cited work

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Observation 8f5ac8d6-f918-4d6c-ba98-6323a59e3e68 · outbound

This paper cites Planck 2018 results. VI. Cosmological parameters.

Anomaly detection with spiking neural networks for LHC physics Planck 2018 results. VI. Cosmological parameters

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.848332Z

Source-reported events for the cited work

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Observation dae021e9-bdd7-4717-8938-4bdbc4ac08cc · outbound

This paper cites nbodykit: an open-source, massively parallel toolkit for large-scale structure.

Anomaly detection with spiking neural networks for LHC physics nbodykit: an open-source, massively parallel toolkit for large-scale structure

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.852900Z

Source-reported events for the cited work

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Observation 9d26ba4a-232f-45c6-ae1b-66d9d7b0dd1e · outbound

This paper cites Will Kinematic Sunyaev-Zel'dovich Measurements Enhance the Science Return from Galaxy Redshift Surveys?.

Anomaly detection with spiking neural networks for LHC physics Will Kinematic Sunyaev-Zel'dovich Measurements Enhance the Science Return from Galaxy Redshift Surveys?

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.858299Z

Source-reported events for the cited work

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Observation f687f317-0654-4b96-aab1-429d039bb7b6 · outbound

This paper cites Ravoux, B.

Anomaly detection with spiking neural networks for LHC physics Ravoux, B

Reference 87

Resolution: verified exact; raw_fallback, observed 2026-08-06T10:25:44.125763Z

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.

Observation 6a9af176-d925-4019-83fa-9a54459bd2c0 · outbound

This paper cites KSZ tomography and the bispectrum.

Anomaly detection with spiking neural networks for LHC physics KSZ tomography and the bispectrum

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.867734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f316ef-82d5-4924-ad66-33c182ae3c99 · outbound

This paper cites Uncorrelated Modes of the Nonlinear Power Spectrum.

Anomaly detection with spiking neural networks for LHC physics Uncorrelated Modes of the Nonlinear Power Spectrum

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.872465Z

Source-reported events for the cited work

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Observation 65713b23-2ba8-4352-a243-a17e94e6b669 · outbound

This paper cites Cobaya: Code for Bayesian Analysis of hierarchical physical models.

Anomaly detection with spiking neural networks for LHC physics Cobaya: Code for Bayesian Analysis of hierarchical physical models

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.877101Z

Source-reported events for the cited work

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Observation 5c749050-dd1c-4659-b6f2-4c144ba8892d · outbound

This paper cites Analytic Methods for Cosmological Likelihoods.

Anomaly detection with spiking neural networks for LHC physics Analytic Methods for Cosmological Likelihoods

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T10:25:43.881645Z

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