Paper Citation Record · LEDGER

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2504.20789.

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

pith.paper-citation-record.v1
2504.20789 v1

Coverage vector

measured 43 of 43 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 125211e8-f13a-4030-837c-4f0b69c9f637 · outbound

This paper cites Analyzing learned molecular representations for property prediction,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Analyzing learned molecular representations for property prediction,

Reference 1

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This paper cites A compact review of molecular property prediction with graph neural networks,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM A compact review of molecular property prediction with graph neural networks,

Reference 2

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Observation a9a7f89a-004e-4e8f-8121-505ca4c48719 · outbound

This paper cites Novel technologies for virtual screening,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Novel technologies for virtual screening,

Reference 3

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Observation b939682f-3953-4ccc-9b55-c3875964358f · outbound

This paper cites Automatic generation of complementary descrip- tors with molecular graph networks,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Automatic generation of complementary descrip- tors with molecular graph networks,

Reference 4

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Observation a0213e2c-d602-4532-8a5b-9d175638a27a · outbound

This paper cites Strategies for Pre-training Graph Neural Networks.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Strategies for Pre-training Graph Neural Networks

Reference 5

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This paper cites A comprehensive survey on graph neural networks,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM A comprehensive survey on graph neural networks,

Reference 6

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Observation 22af0b94-37cb-4ad9-b68e-99e5eede3235 · outbound

This paper cites Large-scale comparison of machine learning methods for drug target prediction on chembl,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Large-scale comparison of machine learning methods for drug target prediction on chembl,

Reference 7

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Observation e49cb41f-2b25-422c-b49c-b744a1795a3b · outbound

This paper cites Galactica: A Large Language Model for Science.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Galactica: A Large Language Model for Science

Reference 8

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Observation b3d3bd6c-d2cf-4d25-b927-13036bbf6281 · outbound

This paper cites Augmenting large language models with chemistry tools,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Augmenting large language models with chemistry tools,

Reference 9

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Observation 177fd720-1433-4a18-817f-826e6c6f3e2b · outbound

This paper cites Large language models on graphs: A comprehensive survey,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Large language models on graphs: A comprehensive survey,

Reference 10

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Observation cc159321-f2bf-4f3d-85e0-e6187d16af91 · outbound

This paper cites Smiles-bert: large scale unsupervised pre-training for molecular property prediction,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Smiles-bert: large scale unsupervised pre-training for molecular property prediction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.771946Z

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Observation a432764d-b399-4a4f-928f-3c964ab2223c · outbound

This paper cites Chemformer: a pre- trained transformer for computational chemistry,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Chemformer: a pre- trained transformer for computational chemistry,

Reference 12

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Observation 08403563-33ad-448b-addf-88d97b319062 · outbound

This paper cites Git-mol: A multi-modal large language model for molecular science with graph, image, and text,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Git-mol: A multi-modal large language model for molecular science with graph, image, and text,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.740985Z

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Observation 29a1a28d-28e0-4bb6-a3ed-c1dcb7980759 · outbound

This paper cites Aug- mentation is what you need!.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Aug- mentation is what you need!

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.725660Z

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Observation b848eab7-633e-4961-a9c0-9cd4cc83edad · outbound

This paper cites SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules

Reference 15

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Observation 341c56fb-da05-4878-ad4a-50c0d1f1b71e · outbound

This paper cites Quantum machine learning for material synthesis and hardware security,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Quantum machine learning for material synthesis and hardware security,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.711280Z

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Observation 7815c47c-baa3-439b-8e39-692bb55d03db · outbound

This paper cites Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques

Reference 17

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Observation 7c56cf02-2c40-44b4-98e4-5f1aecc16a3e · outbound

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Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM De novo drug design by chemical language modeling,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.696219Z

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Observation e97fb59f-d92a-4237-bdd3-bcfcbac6d316 · outbound

This paper cites Moleculenet: a benchmark for molecular machine learning,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Moleculenet: a benchmark for molecular machine learning,

Reference 19

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Observation e9059fb4-13e3-4def-be47-f20c4644af3b · outbound

This paper cites The sider database of drugs and side effects,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM The sider database of drugs and side effects,

Reference 20

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Observation a618a0b3-5cd4-4858-afd4-21238ff18b1d · outbound

This paper cites An introduction to roc analysis,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM An introduction to roc analysis,

Reference 21

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Observation 8371f6e3-7f7a-429e-bc2f-951274517145 · outbound

This paper cites Smiles, a chemical language and information system. 1. introduction to methodology and encoding rules,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Smiles, a chemical language and information system. 1. introduction to methodology and encoding rules,

Reference 22

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Observation 4372f2b4-c84f-4c4a-bf7f-4c919baefdf0 · outbound

This paper cites Self-referencing embedded strings (selfies): A 100% robust molecular string representation,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Self-referencing embedded strings (selfies): A 100% robust molecular string representation,

Reference 23

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Observation 2a78119b-66f6-491a-973e-b2f28cba3a34 · outbound

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Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Long short-term memory,

Reference 24

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Observation ab45ae60-6f00-446f-be49-87d06a04406d · outbound

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Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Finding structure in time,

Reference 25

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Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Expressibility and entan- gling capability of parameterized quantum circuits for hybrid quantum- classical algorithms,

Reference 26

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Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Quantum long short-term memory,

Reference 27

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Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Quantum Kernel-Based Long Short-term Memory

Reference 28

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Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Quantum machine learning in feature hilbert spaces,

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Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 30

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This paper cites Optuna: A next-generation hyperparameter optimization framework,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Optuna: A next-generation hyperparameter optimization framework,

Reference 31

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This paper cites Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented smiles,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented smiles,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.550435Z

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Observation 20777250-16a0-4085-8070-6eea88ca25b9 · outbound

This paper cites Retrosynthetic reaction prediction using neural sequence-to-sequence models,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Retrosynthetic reaction prediction using neural sequence-to-sequence models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.534841Z

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Observation 0be45639-5064-4476-9c9c-9231d16730e2 · outbound

This paper cites Attention is all you need,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Attention is all you need,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.519646Z

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Observation abf2ade4-4c1c-41eb-b1e2-14cb26c8b5cb · outbound

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Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Chatmol: interactive molecular discovery with natural language,

Reference 35

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Observation aa29ab49-097b-4e6c-add2-aad1a2eab8e9 · outbound

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Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Molgpt: molecular generation using a transformer-decoder model,

Reference 36

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Observation 2fea5555-9c67-4c89-96d8-90431ca475e8 · outbound

This paper cites LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction

Reference 37

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Observation 498e88e7-b771-4f01-a6bb-5877550ffa6c · outbound

This paper cites ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction

Reference 38

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Observation cd7b9b5a-edf8-4e29-adaf-c8116ad0bbaf · outbound

This paper cites Self-supervised graph transformer on large-scale molecular data,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Self-supervised graph transformer on large-scale molecular data,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.480748Z

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Observation 693518ec-08bf-466b-8d9d-62aed85a337c · outbound

This paper cites Adverse drug reaction detection from social media based on quantum bi-lstm with attention,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Adverse drug reaction detection from social media based on quantum bi-lstm with attention,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.465991Z

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Observation ad59fade-9271-4fda-9901-145512030148 · outbound

This paper cites Quantum Long Short-Term Memory for Drug Discovery.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Quantum Long Short-Term Memory for Drug Discovery

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:24:04.290805Z

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Observation 2f8175b3-5b26-42cf-87ee-f92c6902bf2e · outbound

This paper cites Randomized smiles strings improve the quality of molecular generative models,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Randomized smiles strings improve the quality of molecular generative models,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.450926Z

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Observation e82372d5-7720-4824-b52e-479ff27061da · outbound

This paper cites What can large language models do in chemistry? a comprehensive benchmark on eight tasks,.

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM What can large language models do in chemistry? a comprehensive benchmark on eight tasks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:04.436269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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