Paper Citation Record · LEDGER

MolQAE: Quantum Autoencoder for Molecular Representation Learning

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 2 inbound Pith citation observations for arXiv:2505.01875.

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

pith.paper-citation-record.v1
2505.01875 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:12:01.556470Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:51:00.211505Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:51:00.287790Z

Reference resolution

24 of 24 outbound references displayed

verified exact1
verified fuzzy16
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efeca951-9ec4-4d64-a478-ca6c32800484 · outbound

This paper cites Neural message passing for quantum chemistry,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Neural message passing for quantum chemistry,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.924331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3bf1fac0-a67f-4677-9b24-6e0016b345fd · outbound

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

MolQAE: Quantum Autoencoder for Molecular Representation Learning Analyzing learned molecular representations for property prediction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.913044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 66384959-f017-4a1c-a61c-46e73bcc3a29 · outbound

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

MolQAE: Quantum Autoencoder for Molecular Representation Learning Moleculenet: a benchmark for molecular machine learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.902733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6a677dfb-45e9-4006-9793-ede168f957f1 · outbound

This paper cites Quantum chemistry in the age of quantum computing,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Quantum chemistry in the age of quantum computing,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.892237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 028fc15b-ed9d-422e-a87c-5a9a584d91e8 · outbound

This paper cites Supervised learning with quantum- enhanced feature spaces,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Supervised learning with quantum- enhanced feature spaces,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:01.482455Z

Source-reported events for the cited work

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Observation 3eb5625b-df1a-47af-9abd-2ffd7033d59e · outbound

This paper cites Quantum machine learning in feature Hilbert spaces,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Quantum machine learning in feature Hilbert spaces,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.874690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fbb1dffe-977a-4e6e-87fd-3bc659dc292f · outbound

This paper cites A generative modeling approach for benchmark- ing and training shallow quantum circuits,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning A generative modeling approach for benchmark- ing and training shallow quantum circuits,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.863937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation def101fc-6078-493a-bded-23340af35639 · outbound

This paper cites Effective quantum feature maps in quantum extreme reservoir computation from the xy model,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Effective quantum feature maps in quantum extreme reservoir computation from the xy model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.852317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04706585-3857-4f1d-9d70-bfa647e8bdf8 · outbound

This paper cites Quantum feature maps for graph machine learning on a neutral atom quantum processor,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Quantum feature maps for graph machine learning on a neutral atom quantum processor,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.742408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 00e577bd-fe88-4646-8926-3625df525d45 · outbound

This paper cites Quantum autoencoders for efficient compression of quantum data,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Quantum autoencoders for efficient compression of quantum data,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:01.500387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3fb5050-5f8a-4e9d-b7a7-f0cd0361bb5f · outbound

This paper cites Quantum autoencoders using mixed reference states,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Quantum autoencoders using mixed reference states,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.723784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c426ec0-ec20-4c43-a851-718e684abe6f · outbound

This paper cites Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:01.508976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba03ec9-8a1b-4f9c-8352-5bda560eef6b · outbound

This paper cites Barren plateaus in quantum neural network training landscapes,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Barren plateaus in quantum neural network training landscapes,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:01.513158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ae9e1b9-1d34-421a-81c5-1eeb3afef611 · outbound

This paper cites Geometric deep learning on molecular representations,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Geometric deep learning on molecular representations,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.699421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3598cf25-8551-403e-9e0c-e8a43c5aacfd · outbound

This paper cites Molecular set representation learning,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Molecular set representation learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:01.522478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19841d5e-de40-46ee-96f7-d44f8e3768f6 · outbound

This paper cites Learning invariant molecular representation in latent discrete space,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Learning invariant molecular representation in latent discrete space,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.681154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 027b8cb8-4f14-4da2-938c-7b27629b832e · outbound

This paper cites Mvmrl: a multi-view molecular representation learning method for molecular property prediction,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Mvmrl: a multi-view molecular representation learning method for molecular property prediction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.668584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c13ad35-4d25-4a01-8f2e-8d3e2f6a0a1a · outbound

This paper cites Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:12:01.602426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c230887-8ce8-4130-bd84-b42003ae8afd · outbound

This paper cites Graph-based Molecular Representation Learning.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Graph-based Molecular Representation Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:01.538803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8642bfef-ff35-4d32-bf90-60fa1a67f009 · outbound

This paper cites Noise-assisted quantum autoencoder,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Noise-assisted quantum autoencoder,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.657645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 11c51666-17b1-4aad-bf07-99e3f61de5ff · outbound

This paper cites Qvae-mole: The quantum vae with spherical latent variable learning for 3-d molecule generation,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Qvae-mole: The quantum vae with spherical latent variable learning for 3-d molecule generation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.645352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 421fdc77-3208-46d2-b999-534631153971 · outbound

This paper cites 970 million druglike small molecules for virtual screening in the chemical universe database GDB-13,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning 970 million druglike small molecules for virtual screening in the chemical universe database GDB-13,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.632343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b7b57d98-f0c5-4220-8c43-3b99500bc39f · outbound

This paper cites Fast and accurate modeling of molecular atomization energies with machine learning,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Fast and accurate modeling of molecular atomization energies with machine learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:12:01.620148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5df0d730-5dc5-48f1-8092-f24faaf23c55 · outbound

This paper cites Quantumnas: Noise-adaptive search for robust quantum cir- cuits,.

MolQAE: Quantum Autoencoder for Molecular Representation Learning Quantumnas: Noise-adaptive search for robust quantum cir- cuits,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:01.556470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b38ff76f-8fa5-40d5-8532-b11b63e43bae · inbound

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding cites this paper.

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding MolQAE: Quantum Autoencoder for Molecular Representation Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:51:00.291140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1548678d-8519-4040-83a2-5a20a3a90509 · inbound

Sparse Quantum Voxel Encoding for Readout-Efficient Molecular Geometry Reconstruction on NISQ Devices cites this paper.

Sparse Quantum Voxel Encoding for Readout-Efficient Molecular Geometry Reconstruction on NISQ Devices MolQAE: Quantum Autoencoder for Molecular Representation Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-30T16:51:22.125385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.