Paper Citation Record · LEDGER

Generic Vision and Cross-Attention for Reaction Yield Prediction

As of 11 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.00776.

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

pith.paper-citation-record.v1
2608.00776 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:23:06.194257Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation 27197c25-e9db-4554-affa-bd95035529c2 · outbound

This paper cites Predicting re- action performance in c–n cross-coupling using machine learning.Science, 360:186– 190, 2018.

Generic Vision and Cross-Attention for Reaction Yield Prediction Predicting re- action performance in c–n cross-coupling using machine learning.Science, 360:186– 190, 2018

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.597831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 41c0ed92-2cb5-4b0d-8bde-7fbfadc156a3 · outbound

This paper cites A platform for au- tomated nanomole-scale reaction screen- ing and micromole-scale synthesis in flow.

Generic Vision and Cross-Attention for Reaction Yield Prediction A platform for au- tomated nanomole-scale reaction screen- ing and micromole-scale synthesis in flow

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.585889Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c6e9e546-0164-4905-8b2d-b1d7478ba6c4 · outbound

This paper cites Machine learning the ropes: principles, applica- 10 tions and directions in synthetic chem- istry.Chem.

Generic Vision and Cross-Attention for Reaction Yield Prediction Machine learning the ropes: principles, applica- 10 tions and directions in synthetic chem- istry.Chem

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.575215Z

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Observation 005e8ae0-4704-4552-b37d-7790119773cf · outbound

This paper cites Autonomous discovery in the chemical sciences part ii: Outlook.Angew.

Generic Vision and Cross-Attention for Reaction Yield Prediction Autonomous discovery in the chemical sciences part ii: Outlook.Angew

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.564036Z

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Observation 61230bda-2aee-4464-b397-3f18643c3b6e · outbound

This paper cites Bayesian reac- tion optimization as a tool for chemical synthesis.Nature, 590:89–96, 2021.

Generic Vision and Cross-Attention for Reaction Yield Prediction Bayesian reac- tion optimization as a tool for chemical synthesis.Nature, 590:89–96, 2021

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.552051Z

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Observation 5f307983-5052-4ccc-8055-00315d0d36ab · outbound

This paper cites Machine learning for chemical reactivity and reaction condi- tions.Curr.

Generic Vision and Cross-Attention for Reaction Yield Prediction Machine learning for chemical reactivity and reaction condi- tions.Curr

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.541739Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 19f74ee4-2ea7-4e3e-b727-f6e2fa215255 · outbound

This paper cites Reaction classification and yield prediction using the differential reaction fingerprint drfp.Digit.

Generic Vision and Cross-Attention for Reaction Yield Prediction Reaction classification and yield prediction using the differential reaction fingerprint drfp.Digit

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.530824Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2be89e03-817f-49de-8821-3464e9241997 · outbound

This paper cites Prediction of higher-selectivity catalysts by computer- driven workflow and machine learning.

Generic Vision and Cross-Attention for Reaction Yield Prediction Prediction of higher-selectivity catalysts by computer- driven workflow and machine learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.520221Z

Source-reported events for the cited work

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Observation 2fe245b5-8f29-43c4-ad1d-474a8fcfe46c · outbound

This paper cites Holistic predictive models of spatial and electronic require- ments for ligand-mediated selective catal- ysis.Nature, 571:343–348, 2019.

Generic Vision and Cross-Attention for Reaction Yield Prediction Holistic predictive models of spatial and electronic require- ments for ligand-mediated selective catal- ysis.Nature, 571:343–348, 2019

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.509545Z

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Observation 39e8b2fe-41d0-4322-9629-39541f2ee7be · outbound

This paper cites A structure-based platform for predicting chemical reactiv- ity.Chem, 6:1379–1390, 2020.

Generic Vision and Cross-Attention for Reaction Yield Prediction A structure-based platform for predicting chemical reactiv- ity.Chem, 6:1379–1390, 2020

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.498320Z

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Observation c7f3b657-0877-4dc2-8408-0d2d924142a7 · outbound

This paper cites A comprehensive dis- covery platform for organophosphorus lig- ands for catalysis.J.

Generic Vision and Cross-Attention for Reaction Yield Prediction A comprehensive dis- covery platform for organophosphorus lig- ands for catalysis.J

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.487849Z

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Observation e155cfc7-a3e5-4165-b538-0c9e832890f6 · outbound

This paper cites Deep learning of activation energies.J.

Generic Vision and Cross-Attention for Reaction Yield Prediction Deep learning of activation energies.J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.476849Z

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Observation ca98db42-e200-4d66-bb1c-ed115fabc192 · outbound

This paper cites Molecular graph convolutions: moving beyond fingerprints.

Generic Vision and Cross-Attention for Reaction Yield Prediction Molecular graph convolutions: moving beyond fingerprints

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.465043Z

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Observation ce213772-7c3a-4745-bed0-7ff1cd3294a7 · outbound

This paper cites Moleculenet: a benchmark for molecular machine learn- ing.Chem.

Generic Vision and Cross-Attention for Reaction Yield Prediction Moleculenet: a benchmark for molecular machine learn- ing.Chem

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.454548Z

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Observation 7c4875de-1d04-4c08-9fcc-d382c1964ed7 · outbound

This paper cites Bigchem: Challenges and opportunities for big data analysis in chemistry.Mol.

Generic Vision and Cross-Attention for Reaction Yield Prediction Bigchem: Challenges and opportunities for big data analysis in chemistry.Mol

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.442941Z

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Observation 805e4e57-7277-4b5a-a7e7-a05c49622c25 · outbound

This paper cites Decimer: towards deep learning for chemical image recogni- tion.J.

Generic Vision and Cross-Attention for Reaction Yield Prediction Decimer: towards deep learning for chemical image recogni- tion.J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.432514Z

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Observation 81bd6f5c-73ac-4302-8235-7573d381c356 · outbound

This paper cites Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models.

Generic Vision and Cross-Attention for Reaction Yield Prediction Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-05T00:23:06.248045Z

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Observation 6602a9b1-fbed-4c9a-b625-edb2add53c88 · outbound

This paper cites Deep learning in virtual screening: recent applications and developments.Int.

Generic Vision and Cross-Attention for Reaction Yield Prediction Deep learning in virtual screening: recent applications and developments.Int

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.420849Z

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Observation 3219d2e1-bceb-4ba6-8ccd-6c97090f09b5 · outbound

This paper cites Drug discov- ery with explainable artificial intelligence.

Generic Vision and Cross-Attention for Reaction Yield Prediction Drug discov- ery with explainable artificial intelligence

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.409089Z

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Observation 7e28f935-6364-4064-82cc-8d1c25587bc2 · outbound

This paper cites A quantitative un- certainty metric controls error in neural network-driven chemical discovery.Chem.

Generic Vision and Cross-Attention for Reaction Yield Prediction A quantitative un- certainty metric controls error in neural network-driven chemical discovery.Chem

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.397655Z

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Observation f544d20c-1e37-4e82-8866-534d173d2ab0 · outbound

This paper cites Comment on ”pre- dicting reaction performance in c–n cross- coupling using machine learning”.Sci- ence, 362:eaat8603, 2018.

Generic Vision and Cross-Attention for Reaction Yield Prediction Comment on ”pre- dicting reaction performance in c–n cross- coupling using machine learning”.Sci- ence, 362:eaat8603, 2018

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.386816Z

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Observation 54602787-8a9f-4ed0-bc80-6c97a1a8f29c · outbound

This paper cites Multimodal deep learning for chemical applications.J.

Generic Vision and Cross-Attention for Reaction Yield Prediction Multimodal deep learning for chemical applications.J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.375654Z

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Observation 69d97930-cae8-435f-ade1-a98eace7ea64 · outbound

This paper cites Attention is all you need.Adv.

Generic Vision and Cross-Attention for Reaction Yield Prediction Attention is all you need.Adv

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.364496Z

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Observation 8fe0ba80-1985-4b06-b9bb-3c0ceeca29d5 · outbound

This paper cites Perceiver: General perception with iterative attention.

Generic Vision and Cross-Attention for Reaction Yield Prediction Perceiver: General perception with iterative attention

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.353233Z

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Observation 86a2bb78-2312-4c15-9573-6fd13c619021 · outbound

This paper cites ChemFusion: A Multimodal Cross-Attention Network for Reaction Yield Prediction.

Generic Vision and Cross-Attention for Reaction Yield Prediction ChemFusion: A Multimodal Cross-Attention Network for Reaction Yield Prediction

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-05T00:23:06.230663Z

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Observation 395eaf65-d96c-4676-88ba-6447889f1551 · outbound

This paper cites Rdkit: Open-source cheminformatics software, 2024.

Generic Vision and Cross-Attention for Reaction Yield Prediction Rdkit: Open-source cheminformatics software, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.342577Z

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Observation 76ddc92a-2c37-46f6-9152-9183fb800b64 · outbound

This paper cites Deep residual learn- ing for image recognition.

Generic Vision and Cross-Attention for Reaction Yield Prediction Deep residual learn- ing for image recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.330563Z

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Observation 48773971-96e8-4804-afde-979475d4cf95 · outbound

This paper cites What makes train- ing multi-modal classification networks hard? InProc.

Generic Vision and Cross-Attention for Reaction Yield Prediction What makes train- ing multi-modal classification networks hard? InProc

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.318494Z

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Observation 31a9c994-643f-4966-a6b3-e76016a7a89b · outbound

This paper cites Characterizing and over- coming the greedy nature of learning in multi-modal representations.

Generic Vision and Cross-Attention for Reaction Yield Prediction Characterizing and over- coming the greedy nature of learning in multi-modal representations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.306970Z

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Observation 7c4cb280-718b-40f7-8b95-4a8bdf6853b0 · outbound

This paper cites All models are wrong, but many are useful: Learning a variable’s importance.J.

Generic Vision and Cross-Attention for Reaction Yield Prediction All models are wrong, but many are useful: Learning a variable’s importance.J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.295069Z

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Observation 1df3283f-bdb5-4a4d-acf8-c7f1c7177954 · outbound

This paper cites Freely available conformer generation methods: how good are they?J.

Generic Vision and Cross-Attention for Reaction Yield Prediction Freely available conformer generation methods: how good are they?J

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.282946Z

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Observation e61461ff-404d-4e57-a7b6-ea10fa3d1641 · outbound

This paper cites Geom, energy- annotated molecular conformations.Sci.

Generic Vision and Cross-Attention for Reaction Yield Prediction Geom, energy- annotated molecular conformations.Sci

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.271031Z

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Observation 43db8981-c10b-4102-8f52-52e1f1b695d6 · outbound

This paper cites End-to-end object detection with transformers.

Generic Vision and Cross-Attention for Reaction Yield Prediction End-to-end object detection with transformers

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:23:06.259776Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

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