Paper Citation Record · LEDGER

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials

As of 7 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2505.09203.

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

pith.paper-citation-record.v1
2505.09203 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T15:57:23.241558Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:19:28.219335Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-22T00:50:50.891499Z

Reference resolution

69 of 69 outbound references displayed

verified exact0
verified fuzzy59
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c866dc9-c44d-4445-be4e-1d3d5761d12d · outbound

This paper cites Schoenholz, Muratahan Aykol, Gowoon Cheon, and Ekin Dogus Cubuk.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Schoenholz, Muratahan Aykol, Gowoon Cheon, and Ekin Dogus Cubuk

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.603334Z

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 32beb6c3-38ef-4ec8-9702-24bf2258f266 · outbound

This paper cites A generative model for inorganic materials design.Nature.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials A generative model for inorganic materials design.Nature

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.600085Z

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 4d986e1b-9606-4587-871b-1862465e4b78 · outbound

This paper cites Aqueous-based recycling of perovskite photovoltaics.Nature.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Aqueous-based recycling of perovskite photovoltaics.Nature

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.588853Z

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 8734036b-4b99-47a8-8beb-c21ce0281d72 · outbound

This paper cites Signatures of superconductivity near 80 k in a nickelate under high pressure.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Signatures of superconductivity near 80 k in a nickelate under high pressure

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.592246Z

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 542e8815-3378-4093-8af7-7c7a081d457d · outbound

This paper cites Ambient-pressure superconduc- tivity onset above 40 k in (la,pr)3ni2o7 films.Nature.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Ambient-pressure superconduc- tivity onset above 40 k in (la,pr)3ni2o7 films.Nature

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.596489Z

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 62981002-66c3-4ac0-8327-0247e6548759 · outbound

This paper cites Shielding pt/γ mo2n by inert nano- overlays enables stable h2 production.Nature.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Shielding pt/γ mo2n by inert nano- overlays enables stable h2 production.Nature

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.610161Z

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 0328aaad-fa88-42fe-951f-07be841dc2c0 · outbound

This paper cites Two-dimensional czochralski growth of single-crystal mos2.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Two-dimensional czochralski growth of single-crystal mos2

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.613274Z

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 0e9ae514-e22b-4a57-ba53-937862d2f911 · outbound

This paper cites Implantable batteries for bioelectronics.Accounts of Materials Research, 1:1–6.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Implantable batteries for bioelectronics.Accounts of Materials Research, 1:1–6

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.624112Z

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 2bd578a8-3f9a-4c7e-8751-94c74157e755 · outbound

This paper cites Designing high-tc superconductors with bcs-inspired screening, density functional theory, and deep-learning.NPJ Comput.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Designing high-tc superconductors with bcs-inspired screening, density functional theory, and deep-learning.NPJ Comput

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.668803Z

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 7aefaa16-7bd4-4c30-8dd1-a094c5f9554a · outbound

This paper cites Gpt-4 technical report.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Gpt-4 technical report

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.585136Z

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 9a7591e5-42f6-43a9-945a-6c7d4880171a · outbound

This paper cites Antunes, Keith T.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Antunes, Keith T

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.545128Z

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 fc3e8705-0327-4af9-9b3b-598cfe00f074 · outbound

This paper cites Ai-driven inverse design of materials: Past, present and future.Chinese Physics Letters.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Ai-driven inverse design of materials: Past, present and future.Chinese Physics Letters

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.548723Z

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 c5abe4ad-84b2-4080-bc0f-9f84fb82d94d · outbound

This paper cites A survey of geometric graph neural networks: Data structures, models and applications.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials A survey of geometric graph neural networks: Data structures, models and applications

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.664779Z

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 684b8101-d5e6-4ec3-971c-24472c6a375b · outbound

This paper cites Denoising diffusion probabilistic models.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Denoising diffusion probabilistic models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.533599Z

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 33843e36-bec9-4a64-8d74-2b8da4605137 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.552641Z

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 626e390e-4a0a-4799-87a2-036a373d987c · outbound

This paper cites Crystal structure prediction by joint equivariant diffusion on lattices and fractional coordinates.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Crystal structure prediction by joint equivariant diffusion on lattices and fractional coordinates

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.530273Z

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 c3ddfccb-856f-43d5-8f47-aa37a89e457e · outbound

This paper cites Con-cdvae: Amethodfortheconditional generation of crystal structures.Computational Materials Today, 1:100003, May 2024.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Con-cdvae: Amethodfortheconditional generation of crystal structures.Computational Materials Today, 1:100003, May 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.559654Z

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 5b4a4caf-d372-4cee-8488-5dc356203e49 · outbound

This paper cites Invdesflow: An ai search engine to explore possible high-temperature superconductors.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Invdesflow: An ai search engine to explore possible high-temperature superconductors

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.474619Z

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 e07f7c3d-8dcd-4de1-a082-2e08bd25e173 · outbound

This paper cites Dilanga Siriwardane, Zhenyao Wu, Nihang Fu, Mohammed Al- Fahdi, Ming Hu, and Jianjun Hu.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Dilanga Siriwardane, Zhenyao Wu, Nihang Fu, Mohammed Al- Fahdi, Ming Hu, and Jianjun Hu

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.570545Z

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 c38b9ff4-d772-4e2f-bead-3e1327216cd9 · outbound

This paper cites Crystal diffusion variational autoencoder for periodic material generation.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Crystal diffusion variational autoencoder for periodic material generation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.689076Z

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 ff4a83d3-ace2-45da-b60a-3ea04f50ad2b · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.697335Z

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 c549fe50-fcce-4463-8ac2-3515f5850a5b · outbound

This paper cites Parameter-efficient transfer learning for nlp.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Parameter-efficient transfer learning for nlp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.519882Z

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 b62d236b-fbca-4f4a-9b88-8e90457ecd5d · outbound

This paper cites Learning multiple visual domains with residual adapters.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Learning multiple visual domains with residual adapters

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.541425Z

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 7028d51d-d1d0-4a9f-a21e-b236f285f183 · outbound

This paper cites an unresolved cited work.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:01:47.715092Z

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 2c889a1f-f761-4a5e-9503-90a334c01a94 · outbound

This paper cites Dpa-2: a large atomic model as a multi-task learner.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Dpa-2: a large atomic model as a multi-task learner

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.620575Z

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 e99784e1-dfd1-40a9-8bb5-332e99958084 · outbound

This paper cites Invdesflow: Anai-drivenmaterialsinversedesignworkflowtoexplorepossiblehigh-temperature superconductors.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Invdesflow: Anai-drivenmaterialsinversedesignworkflowtoexplorepossiblehigh-temperature superconductors

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.631691Z

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 e6f6dd4e-73ff-473e-81a8-2182a3d741cf · outbound

This paper cites an unresolved cited work.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:01:47.653220Z

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 e3b24a96-679f-4a4c-8734-6b0ccc040616 · outbound

This paper cites an unresolved cited work.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:01:47.537197Z

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 36dbbe25-287f-4bf0-8aa7-f07612a8b001 · outbound

This paper cites Mishra, Zachary M.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Mishra, Zachary M

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.505245Z

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 4a1f285c-ea68-4a6d-be74-7bba18aa430d · outbound

This paper cites Hemley, Changfeng Chen, and Yanming Ma.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Hemley, Changfeng Chen, and Yanming Ma

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.556094Z

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 bbe9515d-6463-4bd7-b473-5404868663e5 · outbound

This paper cites an unresolved cited work.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:01:47.574277Z

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 c58e3c64-faf6-4c3f-b0cb-c191ee099f5e · outbound

This paper cites Prediction of ambient pressure superconductivity in cubic ternary hydrides with mh6 octahedra.Materials Today Physics, 42:101374.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Prediction of ambient pressure superconductivity in cubic ternary hydrides with mh6 octahedra.Materials Today Physics, 42:101374

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.508854Z

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 7b2aed6d-6cee-4ad8-b296-36ea02378ddc · outbound

This paper cites High-temperature superconductivity in li2auh6 mediated by strong electron-phonon coupling under ambient pressure.Phys.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials High-temperature superconductivity in li2auh6 mediated by strong electron-phonon coupling under ambient pressure.Phys

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.627773Z

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 59848358-5dcf-43df-a416-9ee2d21221e3 · outbound

This paper cites Equivariant diffusion for crystal structure prediction.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Equivariant diffusion for crystal structure prediction

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.707556Z

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 27f3b55c-ce70-4c3d-a404-e86692c3f6e7 · outbound

This paper cites Inverse design of 3d molecular structures with conditional generative neural networks.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Inverse design of 3d molecular structures with conditional generative neural networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.635377Z

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 c2db7608-02b2-4ab1-91a3-6f18613bbf12 · outbound

This paper cites Wyatt, Srinivasa Kartik Nemani, Gregory E.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Wyatt, Srinivasa Kartik Nemani, Gregory E

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.638959Z

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 768c50e9-2b5e-46ae-8d1c-f37ce8dbe601 · outbound

This paper cites Tantalum diboride obtained by reactive sintering–properties and wear resis- tance.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Tantalum diboride obtained by reactive sintering–properties and wear resis- tance

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.642325Z

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 fc63c504-39e7-4054-b8eb-e169897176b4 · outbound

This paper cites Synthesis, densification, and mechanical properties of tab2.Materials Letters - MATER LETT, 62:4251–4253, 10 2008.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Synthesis, densification, and mechanical properties of tab2.Materials Letters - MATER LETT, 62:4251–4253, 10 2008

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.606844Z

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 c0a24ba1-e5cc-42c7-abc9-b34375f0a06c · outbound

This paper cites an unresolved cited work.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:01:47.645575Z

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 1b21c2ed-51c0-4552-8777-83d72ad5020b · outbound

This paper cites New design for highly durable infrared-reflective coatings.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials New design for highly durable infrared-reflective coatings

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.656962Z

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 b5abd4b8-6d03-4495-a9cd-c19625b1db14 · outbound

This paper cites Cerqueira, Aldo H.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Cerqueira, Aldo H

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.566686Z

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 d9b64120-cf98-4374-8013-b171242ff2e5 · outbound

This paper cites E(n) equivariant graph neural networks.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials E(n) equivariant graph neural networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.478253Z

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 31b7acd1-f8e0-4e84-a444-17a81466f114 · outbound

This paper cites Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493–500.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493–500

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.498576Z

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 c36d3046-986f-4cab-92fc-6ae3c7814046 · outbound

This paper cites Deep-learning electronic-structure calculation of magnetic superstructures.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Deep-learning electronic-structure calculation of magnetic superstructures

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.526804Z

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 f71b0fbc-c869-4046-bb39-dfaacf9bdd45 · outbound

This paper cites an unresolved cited work.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:01:47.676743Z

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 24aea1a5-8067-4258-87fa-2cdbbe57523a · outbound

This paper cites Application-oriented design of machine learning paradigms for battery science.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Application-oriented design of machine learning paradigms for battery science

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.703887Z

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 6e66c985-813f-4c41-9000-3668363a8e41 · outbound

This paper cites Machine learning assisted prediction of cathode materials for zn-ion batteries.Advanced Theory and Simulations, 4(9):2100196.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Machine learning assisted prediction of cathode materials for zn-ion batteries.Advanced Theory and Simulations, 4(9):2100196

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.711461Z

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 109dbe45-04a8-4c8b-b9d0-8f8f30f956e5 · outbound

This paper cites Machine learning in solid-state hydrogen storage materials: Challenges and perspectives.Advanced Materials, 37(6):2413430.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Machine learning in solid-state hydrogen storage materials: Challenges and perspectives.Advanced Materials, 37(6):2413430

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.491030Z

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 a6736902-2379-4315-90e8-31851c6275d8 · outbound

This paper cites Atomic recon- struction for realizing stable solar-driven reversible hydrogen storage of magnesium hydride.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Atomic recon- struction for realizing stable solar-driven reversible hydrogen storage of magnesium hydride

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.486610Z

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 c8fa3241-30de-4e68-9c32-903af71799a6 · outbound

This paper cites A review of smart materials for the boost of soft actuators, soft sensors, and robotics applications.Chinese Journal of Mechanical Engineering, 35(1):37.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials A review of smart materials for the boost of soft actuators, soft sensors, and robotics applications.Chinese Journal of Mechanical Engineering, 35(1):37

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.482441Z

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 555e1b76-7838-4810-95c3-ebe966adb0fe · outbound

This paper cites Diffdock: Diffusion steps, twists, and turns for molecular docking.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Diffdock: Diffusion steps, twists, and turns for molecular docking

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.516369Z

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 93ad6cfd-3392-4cb5-9eb6-04b470c05c74 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3d point clouds.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Tensor field networks: Rotation- and translation-equivariant neural networks for 3d point clouds

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.502267Z

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 416c87e0-714b-4ce5-b913-80cc102308ea · outbound

This paper cites e3nn: Euclidean neural networks.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials e3nn: Euclidean neural networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.563201Z

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 8d89cbd5-7a0d-4e8a-b580-25ecbf9ae14e · outbound

This paper cites Torsional diffusion for molecular conformer generation.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Torsional diffusion for molecular conformer generation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.725187Z

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 9a1db5aa-28c3-40bf-9e44-f0afa1481fda · outbound

This paper cites Designing high-tc superconductors with bcs-inspired screening, density functional theory, and deep-learning.npj Computational Materials, 8(1):244.

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.693545Z

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 3bae2606-7a3d-4e7a-9df5-5017e0cdc92d · outbound

This paper cites an unresolved cited work.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:01:47.721332Z

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 e43d36f5-19d4-45d2-922b-9a754eff70be · outbound

This paper cites Conway, Christoph Heil, Timothy A.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Conway, Christoph Heil, Timothy A

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.672514Z

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 bc9f948f-625f-4ba2-b7fc-13c4abdb5f85 · outbound

This paper cites an unresolved cited work.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:01:47.660463Z

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 b4f6a1e3-842f-4e9c-aee0-5170b3fd7837 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.680648Z

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 e132106b-b058-436f-a971-b7df1deb6868 · outbound

This paper cites an unresolved cited work.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:01:47.700714Z

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 087544fc-4d8c-4c55-8d62-f4cc375881cf · outbound

This paper cites Proximal policy optimization algorithms.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Proximal policy optimization algorithms

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.649301Z

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 6434e560-d925-4030-96bd-5d35dc35dec1 · outbound

This paper cites Manning, and Chelsea Finn.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Manning, and Chelsea Finn

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.617027Z

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 fa091042-3cbe-47be-b341-f031cb26a7ed · outbound

This paper cites QUANTUMESPRESSO:amodularandopen-sourcesoft- ware project for quantum simulations of materials.J.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials QUANTUMESPRESSO:amodularandopen-sourcesoft- ware project for quantum simulations of materials.J

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.718396Z

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 afac9136-9582-466d-8d73-91a43ac29491 · outbound

This paper cites Perdew, Kieron Burke, and Matthias Ernzerhof.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Perdew, Kieron Burke, and Matthias Ernzerhof

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.577870Z

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 efc5da38-5260-4770-b758-24663a5997ff · outbound

This paper cites an unresolved cited work.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:01:47.512247Z

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 6db0a736-5b47-43b4-a638-3f342c4330a2 · outbound

This paper cites Methfessel and A.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Methfessel and A

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.494508Z

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 9a29cce2-ef7c-4fa9-a634-b29ae839dd78 · outbound

This paper cites Phonons and relatedcrystalpropertiesfromdensity-functionalperturbationtheory.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Phonons and relatedcrystalpropertiesfromdensity-functionalperturbationtheory

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.523176Z

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 35559ba6-3c81-4e79-b5de-1d3213da13b5 · outbound

This paper cites Poncé, E.R.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Poncé, E.R

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.581514Z

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 83caa12a-598d-4d11-ba78-d43680c07d42 · outbound

This paper cites Wannier90 as a community code: new features and applications.J.

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Wannier90 as a community code: new features and applications.J

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:01:47.684830Z

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.

Pith citing papers

Observation 6dd653cf-08f4-4521-9e40-829aaf8b4b4c · inbound

HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction cites this paper.

HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction InvDesFlow-AL: active learning-based workflow for inverse design of functional materials

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-22T00:50:50.894845Z

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 754a5a44-c05d-457b-99b4-763fcbbddc1d · inbound

Superconductivity in atom-intercalated quaternary hydrides under ambient pressure cites this paper.

Superconductivity in atom-intercalated quaternary hydrides under ambient pressure InvDesFlow-AL: active learning-based workflow for inverse design of functional materials

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:28.219335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.