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Paper Citation Record · LEDGER

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science

As of 14 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 2 inbound Pith citation observations for arXiv:2507.01054.

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

pith.paper-citation-record.v1
2507.01054 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:19.143753Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:43:46.279596Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T15:40:08.836085Z

Reference resolution

32 of 32 outbound references displayed

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  • verified fuzzy9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9175293-6dcb-4b8a-ab31-05cef74d5dfd · outbound

This paper cites Grossman.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Grossman

Reference 1

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Observation 454677b1-850d-48d7-b791-1a3a56d29289 · outbound

This paper cites Graph neural networks for materials science and chemistry.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Graph neural networks for materials science and chemistry

Reference 2

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Observation 4910ef86-745a-4741-8d8c-2ffa7e43283b · outbound

This paper cites Scaling deep learning for materials discovery.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Scaling deep learning for materials discovery

Reference 3

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Observation 2207a0f8-a6e8-4c1a-86c4-7d88443b0e83 · outbound

This paper cites Savitzky, Andrew Minor, Steven Bartholomew Torrisi, Jackson Goedjen, Ching-Chang Chung, Andrew Comstock, and Shijing Sun.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Savitzky, Andrew Minor, Steven Bartholomew Torrisi, Jackson Goedjen, Ching-Chang Chung, Andrew Comstock, and Shijing Sun

Reference 4

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Source-reported events for the cited work

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Observation 2b48ca8b-216f-4bd4-909d-9041562723f8 · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Align before fuse: Vision and language representation learning with momentum distillation

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a654ccd5-7e8a-4da9-952e-3e9affc563e9 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f16dfb87-b5fe-443f-bed7-ab73da6ebc8c · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 7

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Observation 54816934-a475-4066-8379-e275f13e731a · outbound

This paper cites UniMat: Unifying Materials Embeddings through Multi-modal Learning.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science UniMat: Unifying Materials Embeddings through Multi-modal Learning

Reference 8

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Observation bbfbe041-9967-4cf2-af68-6e6b5b9636b6 · outbound

This paper cites Chandran, Jona \"O streicher, Sebastien Bompas, Bashir Kazimi, Stefan Kesselheim, Pascal Friederich, Stefan Sandfeld, and Kevin Maik Jablonka.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Chandran, Jona \"O streicher, Sebastien Bompas, Bashir Kazimi, Stefan Kesselheim, Pascal Friederich, Stefan Sandfeld, and Kevin Maik Jablonka

Reference 9

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Source-reported events for the cited work

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Observation 826aedb8-395f-42e8-bb30-c66b352510f5 · outbound

This paper cites Lu, Thomas Christensen, and Marin Solja c i \'c.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Lu, Thomas Christensen, and Marin Solja c i \'c

Reference 10

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Observation 849986cc-3446-4b62-9942-b28a84278739 · outbound

This paper cites Powder X-Ray Diffraction Pattern Is All You Need for Machine-Learning-Based Symmetry Identification and Property Prediction.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Powder X-Ray Diffraction Pattern Is All You Need for Machine-Learning-Based Symmetry Identification and Property Prediction

Reference 11

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Source-reported events for the cited work

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Observation 0686f72b-bc0e-4cd9-b15a-807d852da3b3 · outbound

This paper cites Newnham, Daniele Vivona, Muy Sokseiha, Kiarash Gordiz, Abhishek Aggarwal, Taishan Zhu, Wolfgang G.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Newnham, Daniele Vivona, Muy Sokseiha, Kiarash Gordiz, Abhishek Aggarwal, Taishan Zhu, Wolfgang G

Reference 12

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b6998a12-cd6a-4f7c-be69-297646d8e8b4 · outbound

This paper cites Kauwe, Ryan J.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Kauwe, Ryan J

Reference 13

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Observation 79c00747-a348-4895-ac33-93387d1b34b5 · outbound

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XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Unresolved cited work

Reference 14

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Observation 3173c6ba-ff88-4c51-9777-ec0adc910128 · outbound

This paper cites Zagorac, H.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Zagorac, H

Reference 15

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Observation e5326ad7-5570-43e7-8907-3e90c7de831c · outbound

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XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Unresolved cited work

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0c9ec6c3-f38e-4ba2-93dc-11df86bc4054 · outbound

This paper cites MatFusion : A Multi-Modal Framework Bridging LLMs and Structural Embeddings for Experimental Materials Property Prediction.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science MatFusion : A Multi-Modal Framework Bridging LLMs and Structural Embeddings for Experimental Materials Property Prediction

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1263b53f-36b1-49f9-b1df-8c6d3158688d · outbound

This paper cites Self-supervised learning of materials concepts from crystal structures via deep neural networks.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Self-supervised learning of materials concepts from crystal structures via deep neural networks

Reference 18

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verified exact
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Source-reported events for the cited work

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Observation b6ccc34e-0a6c-4a81-9329-909ca0d1d02b · outbound

This paper cites Jaakkola.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Jaakkola

Reference 19

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Observation 926d1498-c645-44d3-a0b0-da5e34d6c011 · outbound

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XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Unresolved cited work

Reference 20

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Unavailable: canonical work link unavailable.

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Observation 239af8bf-531e-49d5-b980-13c8682ebfe3 · outbound

This paper cites Persson, Gerbrand Ceder, and Anubhav Jain.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Persson, Gerbrand Ceder, and Anubhav Jain

Reference 21

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Observation 38b42799-8b91-4c86-8958-7c85fb603b7a · outbound

This paper cites Simmtm: A simple pre-training framework for masked time-series modeling.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Simmtm: A simple pre-training framework for masked time-series modeling

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 01782c4b-8c3e-4389-a937-2623dac4eefd · outbound

This paper cites A Cookbook of Self-Supervised Learning.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science A Cookbook of Self-Supervised Learning

Reference 23

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Observation 6b8c1d7a-a339-4c3d-8582-73774c1dbb63 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Learning Transferable Visual Models From Natural Language Supervision

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 32e3c5f3-86ea-493d-bf6d-54b52412a2bf · outbound

This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 25

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Observation af291b37-ac5c-46cd-9d00-7041c9e72b1e · outbound

This paper cites BEiT : BERT Pre-Training of Image Transformers.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science BEiT : BERT Pre-Training of Image Transformers

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5a52fdff-60c0-4bbc-a6ea-3018dbd7f3cf · outbound

This paper cites Chevrier, Kristin A.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Chevrier, Kristin A

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9dc4b200-62bb-4ec8-9874-ae623c65a0af · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 28

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Observation e120e05b-f45f-47b6-a493-1e55922197f1 · outbound

This paper cites Mixed Precision Training.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Mixed Precision Training

Reference 29

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Observation 7a6769bd-8d04-48ff-b264-693f0e522ed9 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Training Deep Nets with Sublinear Memory Cost

Reference 30

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Observation 93449b7a-2ebb-45ce-9bb5-f568d59d50bf · outbound

This paper cites Decoupled Weight Decay Regularization.

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Decoupled Weight Decay Regularization

Reference 31

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verified fuzzy
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Source-reported events for the cited work

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Observation 73158b3d-0b54-4fec-9d66-886613e87f73 · outbound

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XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science Unresolved cited work

Reference 32

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Source-reported events for the cited work

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Pith citing papers

Observation fcf4563e-e007-4fa4-83b7-255469fc43f3 · inbound

Spectra-Scope : A toolkit for automated and interpretable characterization of material properties from spectral data cites this paper.

Spectra-Scope : A toolkit for automated and interpretable characterization of material properties from spectral data XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4652685d-81d1-4f96-aada-1bc028deac6f · inbound

Spectra-Scope : A toolkit for automated and interpretable characterization of material properties from spectral data cites this paper.

Spectra-Scope : A toolkit for automated and interpretable characterization of material properties from spectral data XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science

Reference 43

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