Paper Citation Record · LEDGER

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.13051.

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

pith.paper-citation-record.v1
2506.13051 v1

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

Observation c57c4ea5-20c8-4fb2-b8b3-13e71c5548f1 · outbound

This paper cites an unresolved cited work.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Unresolved cited work

Reference 1

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Observation facc88cc-c32c-4dff-ad97-6e9b4707a7d2 · outbound

This paper cites Bhadeshia, Geometry of crystals, vol.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Bhadeshia, Geometry of crystals, vol

Reference 2

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Observation 0c60d603-0bab-4618-9dde-6e7d986d9396 · outbound

This paper cites Theory and simulation of crystal growth,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Theory and simulation of crystal growth,

Reference 3

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This paper cites On the effective lattice parameter of bi- nary alloys,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning On the effective lattice parameter of bi- nary alloys,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:44:06.249487Z

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Observation 5144ca4c-607d-4035-a3ef-13c9a6b8915b · outbound

This paper cites Self-consistent equations including exchange and correlation effects,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Self-consistent equations including exchange and correlation effects,

Reference 5

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This paper cites Hydrothermal growth of zno nanostructures,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Hydrothermal growth of zno nanostructures,

Reference 6

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This paper cites Chemical vapor de- position,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Chemical vapor de- position,

Reference 7

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This paper cites Bertucco and G.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Bertucco and G

Reference 8

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This paper cites The crystal- lographic information file (cif): a new standard archive file for crystallography,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning The crystal- lographic information file (cif): a new standard archive file for crystallography,

Reference 9

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This paper cites Aflow: An automatic frame- work for high-throughput materials discovery,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Aflow: An automatic frame- work for high-throughput materials discovery,

Reference 10

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Observation 3f2e79ab-93a4-4923-8088-85f715ae6f89 · outbound

This paper cites Commentary: The materials project: A materi- als genome approach to accelerating materials innova- tion,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Commentary: The materials project: A materi- als genome approach to accelerating materials innova- tion,

Reference 11

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Observation 1ff84d05-bbde-48f2-bcc7-e484ab746f50 · outbound

This paper cites Materials design and discovery with high-throughput density functional theory: the open quantum materials database (oqmd),.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Materials design and discovery with high-throughput density functional theory: the open quantum materials database (oqmd),

Reference 12

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This paper cites Numerical methods for the inverse problem of density functional theory,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Numerical methods for the inverse problem of density functional theory,

Reference 13

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This paper cites Self-interaction and strong correlation in dftb,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Self-interaction and strong correlation in dftb,

Reference 14

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Observation e59f9bcd-c085-4c4a-b158-d613faa7f809 · outbound

This paper cites Dftb3: Extension of the self-consistent-charge density-functional tight- binding method (scc-dftb),.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Dftb3: Extension of the self-consistent-charge density-functional tight- binding method (scc-dftb),

Reference 15

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Observation 86146c88-4e51-43b0-a0c3-5adb81c22f53 · outbound

This paper cites The slater– koster tight-binding method: a computationally effi- cient and accurateapproach,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning The slater– koster tight-binding method: a computationally effi- cient and accurateapproach,

Reference 16

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Observation 60cbec40-849a-485a-a3d4-56a3d30ff00d · outbound

This paper cites Machine learn- ing material properties from the periodic table us- ing convolutional neural networks,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Machine learn- ing material properties from the periodic table us- ing convolutional neural networks,

Reference 17

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This paper cites Transformers in material science: roles, chal- lenges, and future scope,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Transformers in material science: roles, chal- lenges, and future scope,

Reference 18

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 19

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning En- hancing the electronic properties of tio2 nanoparticles through carbon doping: An integrated dftb and com- puter vision approach,

Reference 20

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Schnet: A continuous-filter convolutional neural network for modeling quantum interactions,

Reference 21

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Observation 805b4256-10e2-41e5-9bc6-ad68b9403155 · outbound

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Directional Message Passing for Molecular Graphs

Reference 22

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Densegnn: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules,

Reference 23

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Faenet: Frame averaging equivariant gnn for materials modeling,

Reference 24

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This paper cites Multimodal machine learning for materials science: composition-structure bimodal learning for experimentally measured properties.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Multimodal machine learning for materials science: composition-structure bimodal learning for experimentally measured properties

Reference 25

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Multimodal neu- ral network-based predictive modeling of nanoparticle properties from pure compounds,

Reference 26

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Chemvlm: Exploring the power of multimodal large language models in chemistry area,

Reference 27

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Learn to explain: Multimodal reasoning via thought chains for science question answering,

Reference 28

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Moleculenet: a benchmark for molecular machine learning,

Reference 29

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This paper cites LAB-Bench: Measuring Capabilities of Language Models for Biology Research.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning LAB-Bench: Measuring Capabilities of Language Models for Biology Research

Reference 30

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Tdcm25: A multi-modal multi-task benchmark for temperature-dependent crystalline materials,

Reference 31

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Chemlit-qa: A human evaluated dataset for chemistry rag tasks,

Reference 32

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning MatterChat: A Multi-Modal LLM for Material Science

Reference 33

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning xChemAgents: Agentic AI for Explainable Quantum Chemistry

Reference 34

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 35

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Are LLMs Ready for Real-World Materials Discovery?

Reference 36

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Unresolved cited work

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Observation 5fda5f58-e669-4244-8044-ca788bb3d2eb · outbound

This paper cites The fibonacci lattice,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning The fibonacci lattice,

Reference 38

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Unresolved cited work

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Observation 281dfc50-3d45-4645-843e-4ac01c9c6372 · outbound

This paper cites Wmd-group/hybrid-perovskites: Collection 1 (v1.0).

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Wmd-group/hybrid-perovskites: Collection 1 (v1.0)

Reference 40

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Crystal structure and isothermal compression of fe2o3, cr2o3, and v2o3 to 50 kbars,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:58.395780Z

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Observation 4475a795-02da-40f1-83a7-626add03035e · outbound

This paper cites Mos2 struc- tural properties,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Mos2 struc- tural properties,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:57.999000Z

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Observation d7c0177b-0435-4150-bfbd-cc479afeb941 · outbound

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Unresolved cited work

Reference 44

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Observation 144abfa8-ee5f-4c07-a492-b7a2e425ca06 · outbound

This paper cites The rutile structure of sno2,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning The rutile structure of sno2,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:57.741020Z

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Observation 278fb228-083c-402c-aa42-52fcc7b5df9e · outbound

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Physics and chemistry of srtio 3 perovskites,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:57.515619Z

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Observation 2aef3ef6-dbf0-46ce-9d4d-bde33402a71a · outbound

This paper cites Structure of anatase tio2,.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Structure of anatase tio2,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:57.245770Z

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Observation 3ff3cf57-36b2-465b-ab5b-d63d378b5bb4 · outbound

This paper cites Appendix A.1.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Appendix A.1

Reference 1972

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:43:56.960751Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.