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Paper Citation Record · LEDGER

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning

As of 15 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2605.30012.

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

pith.paper-citation-record.v1
2605.30012 v1

Coverage vector

measured 61 of 61 reference resolution

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Reference resolution

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Outbound references

Observation f92bb124-ec32-4b79-9c60-246882326919 · outbound

This paper cites an unresolved cited work.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 1

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This paper cites Liang, Y.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Liang, Y

Reference 2

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This paper cites an unresolved cited work.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 3

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 4

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 5

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This paper cites Ke and M.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Ke and M

Reference 6

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This paper cites Zhang, Y.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Zhang, Y

Reference 7

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This paper cites Saliba, Polyelemental, multicomponent perovskite semiconductor libraries through combinatorial screening, Adv.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Saliba, Polyelemental, multicomponent perovskite semiconductor libraries through combinatorial screening, Adv

Reference 8

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This paper cites Liang, F.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Liang, F

Reference 9

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 10

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 11

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 12

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 14

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This paper cites Hidalgo, J.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Hidalgo, J

Reference 15

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Pansa-Ngat, H

Reference 17

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Yamamoto, S

Reference 20

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 21

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Maleka, R

Reference 22

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Zunger, S.-H

Reference 23

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Chen and C.-W

Reference 27

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Jinnouchi, J

Reference 28

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Bokdam, J

Reference 29

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Karimitari, W

Reference 30

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Chen, P.-H

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Wang and D

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Hermann and A

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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

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Observation 41678f93-dbb9-43d1-872f-f67720b6a6fe · outbound

This paper cites Fletcher,Practical methods of optimization, 2nd ed.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Fletcher,Practical methods of optimization, 2nd ed

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Observation 43ba6f74-7124-481d-be75-d23a59607b09 · outbound

This paper cites Direct relaxation model S4.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Direct relaxation model S4

Reference 48

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Observation 2123f484-d1f9-49bd-b5d4-5c0dfc2fd8ae · outbound

This paper cites Wang-Landau Algorithm S6 S2.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Wang-Landau Algorithm S6 S2

Reference 49

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Observation 3cf4cb7b-e3e3-492d-a1c6-5b25bd15b6bc · outbound

This paper cites an unresolved cited work.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 50

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Observation fcfe6b4f-e62c-4266-ac1d-7542cbb4c12d · outbound

This paper cites When the MACE model improves, both of these metrics should decrease.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning When the MACE model improves, both of these metrics should decrease

Reference 51

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Observation 9c9f9356-ceb5-41e0-ac96-f2bae0468b3b · outbound

This paper cites The environments were expanded in a basis of five radial functions (num cutoff basis = 5) and spherical harmonics up to quantum numberl= 2 (max ell = 2).

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning The environments were expanded in a basis of five radial functions (num cutoff basis = 5) and spherical harmonics up to quantum numberl= 2 (max ell = 2)

Reference 52

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Observation 55b20956-3145-473c-a5c9-b954f5b30997 · outbound

This paper cites an unresolved cited work.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 53

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source=pdf_text observed=2026-06-29T06:39:24.994163Z digest=sha256:c98ba6629d109008a390c6b3bd1ff6cda7f9b5d2405ed4fc6ec550e4ada9f50d

Observation 11070faa-d5f3-47ea-a4dc-53f5dbe401a5 · outbound

This paper cites The workflow, that is depicted in Fig.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning The workflow, that is depicted in Fig

Reference 54

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source=pdf_text observed=2026-06-29T06:39:24.994163Z digest=sha256:3a81f52b23e5eec11e6bc511358a63280357525d3237aa85481f9bd5e778a60c

Observation d08726a4-baa0-4454-9d9a-f4efd6f89986 · outbound

This paper cites The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials

Reference 55

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source=pdf_text observed=2026-06-29T06:39:24.994163Z digest=sha256:8f1e02bfe4bc29afd9c613a16bdf3a99bfb8f8d540a10f6758fd8baf8e4374d5

Observation ffce6208-d12b-43e5-8236-72a824059586 · outbound

This paper cites Batatia, D.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Batatia, D

Reference 56

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source=pdf_text observed=2026-06-29T06:39:24.994163Z digest=sha256:dc40eb714fe4e203a6a168110fc9159a8fe486fa217ee5f96e4f235e191522cd

Observation fcfdae20-6d83-4989-812e-cd87828a2790 · outbound

This paper cites an unresolved cited work.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 57

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source=pdf_text observed=2026-06-29T06:39:24.994163Z digest=sha256:e0af3892c78ad51de913be0cdd15983e7bc56e7617976afb0f8bd058bb2dfffd

Observation 6e8cf4b1-8a69-4857-bec8-47f4812bcf6e · outbound

This paper cites Huo and M.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Huo and M

Reference 58

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Observation 4c7ff47b-6d11-437c-b42d-e7f6b108b53e · outbound

This paper cites Himanen, M.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Himanen, M

Reference 59

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source=pdf_text observed=2026-06-29T06:39:24.994163Z digest=sha256:087b15ac98af974d86fdf3a79b5cd97bce03823d9a0291e45c93b506d1c03a90

Observation 1c95d37d-c0b0-4a96-a0f0-e97a879c5e59 · outbound

This paper cites Laakso, L.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Laakso, L

Reference 60

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source=pdf_text observed=2026-06-29T06:39:24.994163Z digest=sha256:3ae489fb4fe0ecd8d95a326e485996bfe62abbe484ab1d6d392021838c7411f4

Observation 1414fea1-c6cd-4a26-a8f6-2d3544565327 · outbound

This paper cites an unresolved cited work.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 61

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source=pdf_text observed=2026-06-29T06:39:24.994163Z digest=sha256:0b79169057fdec1ac583407cf846cec0d2dbe8237c9c9d36062f043c2d167cbb

Observation 36378e81-3742-4604-9a89-fd6f19229b4c · outbound

This paper cites Levy-Kramer, k-means-constrained (2018).

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Levy-Kramer, k-means-constrained (2018)

Reference 62

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source=pdf_text observed=2026-06-29T06:39:24.994163Z digest=sha256:684807274007df43d6091abcffcbc19ec731a5ca0536c3d1e05bee3262ed36ab

Observation a99e6703-04d7-442e-992e-37912cf58d38 · outbound

This paper cites Wang and D.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Wang and D

Reference 63

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source=pdf_text observed=2026-06-29T06:39:24.994163Z digest=sha256:ccb853b8365133e92e50a228ee542ce92a2d28613dfb9ff9bee07aa38e58b6e0

Observation eff385b6-d887-40d6-9145-e8fa564a8569 · outbound

This paper cites Laakso, M.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Laakso, M

Reference 64

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Observation 12d27008-2376-45a1-9232-b84d2fd861a9 · outbound

This paper cites an unresolved cited work.

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning Unresolved cited work

Reference 65

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Pith citing papers

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