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Paper Citation Record · LEDGER

Learning Intrinsic Alignments from Local Galaxy Environments

As of 16 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2506.05155.

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

pith.paper-citation-record.v1
2506.05155 v2

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measured 61 of 61 reference resolution

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Reference resolution

61 of 61 outbound references displayed

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Outbound references

Observation 68d58ef8-2636-43d7-8a8d-0d1ede23afd4 · outbound

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Learning Intrinsic Alignments from Local Galaxy Environments Unresolved cited work

Reference 1

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This paper cites In our main analysis, we do not include any galaxy observables, and instead set ⃗ pi = (1,) for all galaxies.

Learning Intrinsic Alignments from Local Galaxy Environments In our main analysis, we do not include any galaxy observables, and instead set ⃗ pi = (1,) for all galaxies

Reference 2

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Observation f732d455-75a5-488d-b2ad-d49228440394 · outbound

This paper cites Recovering their mean isolates the pure, noise-free, tidally induced ori- entation signal.

Learning Intrinsic Alignments from Local Galaxy Environments Recovering their mean isolates the pure, noise-free, tidally induced ori- entation signal

Reference 3

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Observation 06efd68d-4b8b-4358-ad5f-61bdb4e6afe8 · outbound

This paper cites Table I reports the improvement percentages over a random baseline for both the pure and noisy alignment metrics.

Learning Intrinsic Alignments from Local Galaxy Environments Table I reports the improvement percentages over a random baseline for both the pure and noisy alignment metrics

Reference 4

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This paper cites Under the assumption of a statistically isotropic universe, the lens- ing contribution averages to zero, and the model cannot predict any lensing-induced ellipticity.

Learning Intrinsic Alignments from Local Galaxy Environments Under the assumption of a statistically isotropic universe, the lens- ing contribution averages to zero, and the model cannot predict any lensing-induced ellipticity

Reference 5

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Observation d7de6ee1-8e87-40d1-af05-599fc6f67dff · outbound

This paper cites Lee and U.-L.

Learning Intrinsic Alignments from Local Galaxy Environments Lee and U.-L

Reference 6

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Observation d0c8d59e-b131-47a1-8fe1-3cb28c1fb0cf · outbound

This paper cites Mellier, Abdurro’uf, J.

Learning Intrinsic Alignments from Local Galaxy Environments Mellier, Abdurro’uf, J

Reference 7

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Observation e679ed6a-5ead-403a-8429-c3e0c67ac346 · outbound

This paper cites Wide-Field InfrarRed Survey Telescope-Astrophysics Focused Telescope Assets WFIRST-AFTA 2015 Report.

Learning Intrinsic Alignments from Local Galaxy Environments Wide-Field InfrarRed Survey Telescope-Astrophysics Focused Telescope Assets WFIRST-AFTA 2015 Report

Reference 8

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This paper cites LSST: from Science Drivers to Reference Design and Anticipated Data Products.

Learning Intrinsic Alignments from Local Galaxy Environments LSST: from Science Drivers to Reference Design and Anticipated Data Products

Reference 9

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Observation 3a8d805e-99b7-44be-8227-9f4ef5cdf7aa · outbound

This paper cites Weak lensing surveys and the intrinsic correlation of galaxy ellipticities.

Learning Intrinsic Alignments from Local Galaxy Environments Weak lensing surveys and the intrinsic correlation of galaxy ellipticities

Reference 10

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Observation c53e4ae6-c8c0-48e4-9403-4147cdfe9058 · outbound

This paper cites Heavens, A.

Learning Intrinsic Alignments from Local Galaxy Environments Heavens, A

Reference 11

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Observation 5855c292-2f27-41e7-a792-9b629fb81b81 · outbound

This paper cites Krause, T.

Learning Intrinsic Alignments from Local Galaxy Environments Krause, T

Reference 12

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This paper cites Lee and U.

Learning Intrinsic Alignments from Local Galaxy Environments Lee and U

Reference 13

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Observation fe356378-5854-4f7d-a022-fee64d071b24 · outbound

This paper cites Catelan, M.

Learning Intrinsic Alignments from Local Galaxy Environments Catelan, M

Reference 14

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This paper cites Joachimi and S.

Learning Intrinsic Alignments from Local Galaxy Environments Joachimi and S

Reference 15

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Observation 67e42403-ea04-46ca-8202-eb35fcc0e967 · outbound

This paper cites Joachimi, R.

Learning Intrinsic Alignments from Local Galaxy Environments Joachimi, R

Reference 16

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Learning Intrinsic Alignments from Local Galaxy Environments Unresolved cited work

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This paper cites Johnston, C.

Learning Intrinsic Alignments from Local Galaxy Environments Johnston, C

Reference 18

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Learning Intrinsic Alignments from Local Galaxy Environments Unresolved cited work

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Learning Intrinsic Alignments from Local Galaxy Environments Secco, S

Reference 20

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Learning Intrinsic Alignments from Local Galaxy Environments Campos, S

Reference 21

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Learning Intrinsic Alignments from Local Galaxy Environments Unresolved cited work

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Learning Intrinsic Alignments from Local Galaxy Environments Singh, R

Reference 23

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Learning Intrinsic Alignments from Local Galaxy Environments Zhang, X

Reference 24

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Learning Intrinsic Alignments from Local Galaxy Environments Mandelbaum, A

Reference 25

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Learning Intrinsic Alignments from Local Galaxy Environments Blazek, R

Reference 26

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Learning Intrinsic Alignments from Local Galaxy Environments Mandelbaum, C

Reference 27

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Learning Intrinsic Alignments from Local Galaxy Environments Blazek, M

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Learning Intrinsic Alignments from Local Galaxy Environments Tsaprazi, N.-M

Reference 29

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Learning Intrinsic Alignments from Local Galaxy Environments Georgiou, H

Reference 30

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Learning Intrinsic Alignments from Local Galaxy Environments Pahwa, N

Reference 31

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This paper cites Abbott, M.

Learning Intrinsic Alignments from Local Galaxy Environments Abbott, M

Reference 32

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Learning Intrinsic Alignments from Local Galaxy Environments Samuroff, R

Reference 33

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Learning Intrinsic Alignments from Local Galaxy Environments Unresolved cited work

Reference 34

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This paper cites Intrinsic Alignments in IllustrisTNG and their implications for weak lensing: Tidal shearing and tidal torquing mechanisms put to the test.

Learning Intrinsic Alignments from Local Galaxy Environments Intrinsic Alignments in IllustrisTNG and their implications for weak lensing: Tidal shearing and tidal torquing mechanisms put to the test

Reference 35

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This paper cites Craigie, DELTA: Data-Empiric Learned Tidal Alignments,https://github.com/mattcraigie/DELTA (2025), accessed: 2025-06-07.

Learning Intrinsic Alignments from Local Galaxy Environments Craigie, DELTA: Data-Empiric Learned Tidal Alignments,https://github.com/mattcraigie/DELTA (2025), accessed: 2025-06-07

Reference 36

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This paper cites Not all lensing is low: An analysis of DESI$\times$DES using the Lagrangian Effective Theory of LSS.

Learning Intrinsic Alignments from Local Galaxy Environments Not all lensing is low: An analysis of DESI$\times$DES using the Lagrangian Effective Theory of LSS

Reference 37

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Observation 6b759af7-2385-4fed-81d2-50e0495afffd · outbound

This paper cites Aric` o, R.

Learning Intrinsic Alignments from Local Galaxy Environments Aric` o, R

Reference 38

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Observation db521c62-7e70-4497-a82d-39f414286385 · outbound

This paper cites Modeling nonlinear scales with COLA: preparing for LSST-Y1.

Learning Intrinsic Alignments from Local Galaxy Environments Modeling nonlinear scales with COLA: preparing for LSST-Y1

Reference 39

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Observation 2788d613-ec51-4118-9fae-3d1051ba0b95 · outbound

This paper cites Zjupa, B.

Learning Intrinsic Alignments from Local Galaxy Environments Zjupa, B

Reference 40

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Observation 78e2990d-15d3-431a-8c2a-efa36db82025 · outbound

This paper cites Codis, R.

Learning Intrinsic Alignments from Local Galaxy Environments Codis, R

Reference 41

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Observation b563e966-c6a2-4de1-874c-4bcadba49321 · outbound

This paper cites E(n) Equivariant Graph Neural Networks.

Learning Intrinsic Alignments from Local Galaxy Environments E(n) Equivariant Graph Neural Networks

Reference 42

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Observation 5b3d9d53-f17b-4da3-8eca-72ec5c5e518e · outbound

This paper cites Predicting dark matter halo masses from simulated galaxy images and environments.

Learning Intrinsic Alignments from Local Galaxy Environments Predicting dark matter halo masses from simulated galaxy images and environments

Reference 43

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Observation b584eefd-4234-4f64-a0c3-fecb369609a7 · outbound

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Learning Intrinsic Alignments from Local Galaxy Environments Unresolved cited work

Reference 44

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Observation 32535aad-03a6-4170-86cb-8f3f3428e37a · outbound

This paper cites Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI.

Learning Intrinsic Alignments from Local Galaxy Environments Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI

Reference 45

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Observation 6168dcd0-f8ce-4a45-ac4d-6ce62f8b4eff · outbound

This paper cites Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets.

Learning Intrinsic Alignments from Local Galaxy Environments Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 46

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Observation 91bb45ad-9968-4ee0-afb0-341caf729082 · outbound

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Learning Intrinsic Alignments from Local Galaxy Environments Unresolved cited work

Reference 47

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Observation 37a3cbec-1e08-48d3-81be-1ec7b36bd5d5 · outbound

This paper cites Gatti, G.

Learning Intrinsic Alignments from Local Galaxy Environments Gatti, G

Reference 48

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Observation 017d3acc-9f6a-4a3e-b0aa-fbad6a0aefa2 · outbound

This paper cites Bishop,Mixture density networks, Working Paper (Aston University, 1994).

Learning Intrinsic Alignments from Local Galaxy Environments Bishop,Mixture density networks, Working Paper (Aston University, 1994)

Reference 49

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Observation c9b622fc-812e-4ec4-90bb-df787bcd762a · outbound

This paper cites Van Alfen, D.

Learning Intrinsic Alignments from Local Galaxy Environments Van Alfen, D

Reference 50

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Observation 93937c48-cdb1-4c87-afa4-3b597bbcc40f · outbound

This paper cites Prada, A.

Learning Intrinsic Alignments from Local Galaxy Environments Prada, A

Reference 51

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Observation 35241ecf-a3fe-4be3-9232-093521192b4c · outbound

This paper cites receive” node and subscriptjindexes the “send.

Learning Intrinsic Alignments from Local Galaxy Environments receive” node and subscriptjindexes the “send

Reference 52

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Observation c8152b11-a739-46dc-8f33-7a8cae62157a · outbound

This paper cites The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores.

Learning Intrinsic Alignments from Local Galaxy Environments The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores

Reference 53

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Observation eb20ef5c-e0a8-46e4-a25b-e3f2fbd8359b · outbound

This paper cites R´ egaldo-Saint Blancard, C.

Learning Intrinsic Alignments from Local Galaxy Environments R´ egaldo-Saint Blancard, C

Reference 54

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Observation e82d6da6-6bd6-4d8f-a044-d795f43a67b4 · outbound

This paper cites Breiman, Random forests, Machine Learning45, 5 (2001).

Learning Intrinsic Alignments from Local Galaxy Environments Breiman, Random forests, Machine Learning45, 5 (2001)

Reference 55

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Observation cee03f5c-7770-49e0-8f57-92ab51d17062 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Learning Intrinsic Alignments from Local Galaxy Environments A Unified Approach to Interpreting Model Predictions

Reference 56

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Observation 0ddb7b98-26ca-47f7-a260-9e01f6eaf3b9 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Learning Intrinsic Alignments from Local Galaxy Environments UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 57

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Observation 3453b968-8720-44d3-8b16-6b8f27bc2e24 · outbound

This paper cites Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument.

Learning Intrinsic Alignments from Local Galaxy Environments Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument

Reference 58

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Observation df90a941-432a-41af-8760-a13ae3333fa7 · outbound

This paper cites Naidoo, H.

Learning Intrinsic Alignments from Local Galaxy Environments Naidoo, H

Reference 59

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Observation 923195f6-e83e-4d6f-bd74-44398b28161b · outbound

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Learning Intrinsic Alignments from Local Galaxy Environments Unresolved cited work

Reference 60

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Observation 9588ac71-bf9e-4e37-b803-1875537b40ca · outbound

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Learning Intrinsic Alignments from Local Galaxy Environments Unresolved cited work

Reference 61

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Pith citing papers

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