Paper Citation Record · LEDGER

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.11908.

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

pith.paper-citation-record.v1
2506.11908 v2

Coverage vector

measured 40 of 40 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 52b26adb-67ec-44c1-b8f0-b7acd9f23dab · outbound

This paper cites Highly sensitive 2d x-ray absorption spectroscopy via physics informed machine learning.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Highly sensitive 2d x-ray absorption spectroscopy via physics informed machine learning

Reference 1

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Observation a340ba12-5612-4622-8f67-284d83f9a2e2 · outbound

This paper cites Characterization of energy materials with x-ray absorption spectroscopy- advantages, challenges, and opportunities.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Characterization of energy materials with x-ray absorption spectroscopy- advantages, challenges, and opportunities

Reference 2

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Observation 4e10e51e-d1c2-4ff1-ace4-fee653633f88 · outbound

This paper cites Applications of x-ray absorption spectroscopy in materials science: Status and new trends.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Applications of x-ray absorption spectroscopy in materials science: Status and new trends

Reference 3

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Observation 85f19b0c-70fc-45ca-b9a0-57f239573f69 · outbound

This paper cites Introduction to x-ray absorption spectroscopy and its applications in material science.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Introduction to x-ray absorption spectroscopy and its applications in material science

Reference 4

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Observation 4a312a16-84c3-46c5-b9bd-813c745fce57 · outbound

This paper cites X-ray absorption and reflection in materials sciences.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table X-ray absorption and reflection in materials sciences

Reference 5

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Observation 2ca91439-20e2-4acf-b08f-18256434d54c · outbound

This paper cites The value of synchrotron radiation x-ray techniques to explore microscale chemistry for ecology and evolution research.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table The value of synchrotron radiation x-ray techniques to explore microscale chemistry for ecology and evolution research

Reference 6

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Observation 895a7c1e-a5f1-42ea-b09d-dd84226fac19 · outbound

This paper cites Assessment of dft methods for transition metals with the tmc151 compilation of data sets and comparison with accuracies for main-group chemistry.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Assessment of dft methods for transition metals with the tmc151 compilation of data sets and comparison with accuracies for main-group chemistry

Reference 7

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Observation 7ff4853e-57fb-4f04-b68c-10d5d791449a · outbound

This paper cites Parameter-free calculations of x-ray spectra with feff9.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Parameter-free calculations of x-ray spectra with feff9

Reference 8

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Observation 53d6adfe-1aa4-4cb2-a366-653aff668245 · outbound

This paper cites Improved protein structure prediction using potentials from deep learning.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Improved protein structure prediction using potentials from deep learning

Reference 9

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Observation 004f71fc-40a0-4429-9d97-840dc42d980d · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Highly accurate protein structure prediction with alphafold

Reference 10

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Observation 5492ad68-9df7-437b-834c-40b896c0242b · outbound

This paper cites Ballard, Joshua Bambrick, Sebastian W.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Ballard, Joshua Bambrick, Sebastian W

Reference 11

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Observation 891b88e8-0a66-4694-8ee0-abe209f85cbd · outbound

This paper cites Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging

Reference 12

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Observation e0a4bef3-b3d6-45e2-9329-7fddac086fac · outbound

This paper cites Artificial intelligence versus clinicians in disease diagnosis: systematic review.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Artificial intelligence versus clinicians in disease diagnosis: systematic review

Reference 13

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Observation 6559dd10-9382-42c8-b6ce-4bee9086e7d5 · outbound

This paper cites Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

Reference 14

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Observation 42133b22-6973-4c13-b05d-75d09cd9fe55 · outbound

This paper cites Gravita- tionally lensed black hole emission tomography.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Gravita- tionally lensed black hole emission tomography

Reference 15

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Observation 9d2cb794-a9dc-4ffe-a8a5-3ee409d173a2 · outbound

This paper cites Integrating explainability into graph neural network models for the prediction of x-ray absorption spectra.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Integrating explainability into graph neural network models for the prediction of x-ray absorption spectra

Reference 16

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Observation 38c58a47-0d8a-410b-bad5-92c5f5a19e9c · outbound

This paper cites CuXASNet: Rapid and Accurate Prediction of Copper L-edge X-Ray Absorption Spectra Using Machine Learning.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table CuXASNet: Rapid and Accurate Prediction of Copper L-edge X-Ray Absorption Spectra Using Machine Learning

Reference 17

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Observation 37c13bef-91e8-46a5-98f5-0ea828b3ef2c · outbound

This paper cites Machine-learning x-ray absorption spectra to quantitative accuracy.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Machine-learning x-ray absorption spectra to quantitative accuracy

Reference 18

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Observation f571aeb0-4684-4c4f-a4a2-53d78c5c9019 · outbound

This paper cites Random forest models for accurate identification of coordination environments from x-ray absorption near-edge structure.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Random forest models for accurate identification of coordination environments from x-ray absorption near-edge structure

Reference 19

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Observation aee3d787-b2f8-43dc-9630-9fa228e3fbb1 · outbound

This paper cites Random forest machine learning models for interpretable x-ray absorption near-edge structure spectrum-property relationships.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Random forest machine learning models for interpretable x-ray absorption near-edge structure spectrum-property relationships

Reference 20

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Observation 03dbe109-bd3e-4a1d-a0f1-d5b7406165d6 · outbound

This paper cites Chgnet as a pretrained universal neural network potential for charge-informed atomistic modelling.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Chgnet as a pretrained universal neural network potential for charge-informed atomistic modelling

Reference 21

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Observation 1a7bfb1d-bf10-4bb4-9761-c1dc1b2193b4 · outbound

This paper cites Classification of local chem- ical environments from x-ray absorption spectra using supervised machine learning.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Classification of local chem- ical environments from x-ray absorption spectra using supervised machine learning

Reference 22

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This paper cites A graph neural network-based approach to xanes data analysis.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table A graph neural network-based approach to xanes data analysis

Reference 23

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Observation 6d749478-fb9c-45b2-a59d-9e851cf6734f · outbound

This paper cites Pyfitit: The software for quantitative analysis of xanes spectra using machine-learning algorithms.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Pyfitit: The software for quantitative analysis of xanes spectra using machine-learning algorithms

Reference 24

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Observation 10060fc9-3478-4152-97b7-6e00cacf7645 · outbound

This paper cites Understand- ing x-ray absorption spectra by means of descriptors and machine learning algorithms.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Understand- ing x-ray absorption spectra by means of descriptors and machine learning algorithms

Reference 25

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Observation 7a610187-2a80-4337-a25a-1fa828ed4826 · outbound

This paper cites Interpretable Multimodal Machine Learning Analysis of X-ray Absorption Near-Edge Spectra and Pair Distribution Functions.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Interpretable Multimodal Machine Learning Analysis of X-ray Absorption Near-Edge Spectra and Pair Distribution Functions

Reference 26

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Observation fcca0650-78a7-4d96-b580-eca3a17df7ac · outbound

This paper cites Fitit: New software to extract structural information on the basis of xanes fitting.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Fitit: New software to extract structural information on the basis of xanes fitting

Reference 27

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This paper cites Essai d’Optique, sur la gradation de la lumiere.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Essai d’Optique, sur la gradation de la lumiere

Reference 28

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This paper cites In situ/operando electrocatalyst characterization by x-ray absorption spectroscopy.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table In situ/operando electrocatalyst characterization by x-ray absorption spectroscopy

Reference 29

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Observation db6c2eaf-9444-4cf1-8ae1-d2456181a1d7 · outbound

This paper cites Fundamentals of xafs.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Fundamentals of xafs

Reference 30

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Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Random forests

Reference 31

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This paper cites A complete overhaul of the electron energy-loss spectroscopy and x-ray absorption spectroscopy database: eelsdb.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table A complete overhaul of the electron energy-loss spectroscopy and x-ray absorption spectroscopy database: eelsdb

Reference 32

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This paper cites Database of ab initio l-edge x-ray absorption near edge structure.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Database of ab initio l-edge x-ray absorption near edge structure

Reference 33

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Observation 6923cfc8-de4c-4d50-b4f9-505a7456ce2a · outbound

This paper cites Commentary: The materials project: A materials genome approach to accelerating materials innovation.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Commentary: The materials project: A materials genome approach to accelerating materials innovation

Reference 34

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This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Semi-Supervised Classification with Graph Convolutional Networks

Reference 35

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Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Graph Attention Networks

Reference 36

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This paper cites Neural message passing for quantum chemistry.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Neural message passing for quantum chemistry

Reference 37

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This paper cites Exafs analysis using feff and feffit.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Exafs analysis using feff and feffit

Reference 38

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Observation 2dd64e09-5c6b-4893-9bd5-5365f6ac6c53 · outbound

This paper cites Ifeffit: interactive xafs analysis and feff fitting.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table Ifeffit: interactive xafs analysis and feff fitting

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:29.558059Z

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This paper cites edge position.

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table edge position

Reference 40

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Pith citing papers

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