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Paper Citation Record · LEDGER

FCHL revisited: faster and more accurate quantum machine learning

As of 15 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 2 inbound Pith citation observations for arXiv:1909.01946.

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

pith.paper-citation-record.v1
1909.01946 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:10:11.257897Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:50:09.872845Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:06:03.068534Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved6
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5baf6a3-3dfa-473b-86ca-dc6d0d535830 · outbound

This paper cites Each of the nRs2 basis functions in this set is placed on an equidistant grid from rcut nRs2 to rcut, with rcut being the cutoff radius.

FCHL revisited: faster and more accurate quantum machine learning Each of the nRs2 basis functions in this set is placed on an equidistant grid from rcut nRs2 to rcut, with rcut being the cutoff radius

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:10:11.497778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5fc62b6d-2884-4d69-8a2f-f64075b3ebba · outbound

This paper cites operator quantum machine learning.

FCHL revisited: faster and more accurate quantum machine learning operator quantum machine learning

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-14T05:10:11.487267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8f4b1340-0a3d-46d4-b16d-712c840cd313 · outbound

This paper cites 1,24,25,33–36,43 In KRR the energy, U∗, of a query compound, c, can be decomposed into the sum of atomic energies.

FCHL revisited: faster and more accurate quantum machine learning 1,24,25,33–36,43 In KRR the energy, U∗, of a query compound, c, can be decomposed into the sum of atomic energies

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8787a368-4785-4627-8029-3333ea75bbc1 · outbound

This paper cites In the operator quantum machine learning (OQML) approach introduced in ref.

FCHL revisited: faster and more accurate quantum machine learning In the operator quantum machine learning (OQML) approach introduced in ref

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-14T05:10:11.469067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation aa5c07c3-cdc8-432d-a3c3-2f8ef1330228 · outbound

This paper cites an unresolved cited work.

FCHL revisited: faster and more accurate quantum machine learning Unresolved cited work

Reference 5

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 82b21ade-399f-489e-a95c-d8af36f63823 · outbound

This paper cites an unresolved cited work.

FCHL revisited: faster and more accurate quantum machine learning Unresolved cited work

Reference 6

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unresolved
raw_fallback, observed 2026-08-14T05:10:11.448691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6ea84c29-0ac9-4347-b269-a493fe14cddf · outbound

This paper cites universal.

FCHL revisited: faster and more accurate quantum machine learning universal

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 291d951a-d467-478c-b7b1-a4c8cb28a4a5 · outbound

This paper cites 3 we compare the predictive accuracy of a num- ber of kernel-based models for the atomization energy of molecules in the QM9 dataset.

FCHL revisited: faster and more accurate quantum machine learning 3 we compare the predictive accuracy of a num- ber of kernel-based models for the atomization energy of molecules in the QM9 dataset

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f51199e6-a95e-4df7-a6b2-869653a8f23f · outbound

This paper cites an unresolved cited work.

FCHL revisited: faster and more accurate quantum machine learning Unresolved cited work

Reference 9

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unresolved
raw_fallback, observed 2026-08-14T05:10:11.417533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5791af96-c1ea-4920-b1f8-9b5dfc527eda · outbound

This paper cites an unresolved cited work.

FCHL revisited: faster and more accurate quantum machine learning Unresolved cited work

Reference 10

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unresolved
raw_fallback, observed 2026-08-14T05:10:11.406633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7e9b4ad7-c717-40f7-a7df-baf26c219851 · outbound

This paper cites 22 As such, this dataset probes the performance of ML models on chemical systems that approach the condensed phase behavior.

FCHL revisited: faster and more accurate quantum machine learning 22 As such, this dataset probes the performance of ML models on chemical systems that approach the condensed phase behavior

Reference 11

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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 2026-08-15T06:32:42.880941+00:00.

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Observation eedf4e75-ee22-4bf7-9fdd-67c19d4e6666 · outbound

This paper cites an unresolved cited work.

FCHL revisited: faster and more accurate quantum machine learning Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 085c68b8-06ab-4bc3-84e0-7c30c34a270c · outbound

This paper cites For FCHL18 and aSLATM, all parameters are set to the default values in QML, and for FCHL19, the values in Appendix A are used.

FCHL revisited: faster and more accurate quantum machine learning For FCHL18 and aSLATM, all parameters are set to the default values in QML, and for FCHL19, the values in Appendix A are used

Reference 13

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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 2026-08-15T06:32:42.880941+00:00.

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Observation ad1fcd8d-9890-4ea9-936d-76f026c4a56e · outbound

This paper cites These timings are given in Table II.

FCHL revisited: faster and more accurate quantum machine learning These timings are given in Table II

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-14T05:10:11.356321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0385bbd1-9598-40c8-a772-ce7c97732fa3 · outbound

This paper cites For each molecule, the Perdew–Burke-Ernzerhof (PBE) equilib- rium geometry is available along with 13 different properties also calculated at the DFT level.

FCHL revisited: faster and more accurate quantum machine learning For each molecule, the Perdew–Burke-Ernzerhof (PBE) equilib- rium geometry is available along with 13 different properties also calculated at the DFT level

Reference 15

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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 2026-08-15T06:32:42.880941+00:00.

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Observation 2a217ff5-fbaf-48d3-86cd-fd33bcdbb84e · outbound

This paper cites uncharacterized.

FCHL revisited: faster and more accurate quantum machine learning uncharacterized

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-14T05:10:11.334018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9b71e26f-c22f-4253-a21e-e89eca817ed8 · outbound

This paper cites an unresolved cited work.

FCHL revisited: faster and more accurate quantum machine learning Unresolved cited work

Reference 17

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2a836e86-4e36-4fe8-819c-a146d96ee1bd · outbound

This paper cites For each sample, a dispersion-corrected DFT singlepoint energy is calculated at the PBEh-3c level of theory.

FCHL revisited: faster and more accurate quantum machine learning For each sample, a dispersion-corrected DFT singlepoint energy is calculated at the PBEh-3c level of theory

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation af3968bb-d848-4e19-850e-725ecc1111c7 · outbound

This paper cites Quantum machine learning using atom-in-molecule-based fragments selected on-the-fly.

FCHL revisited: faster and more accurate quantum machine learning Quantum machine learning using atom-in-molecule-based fragments selected on-the-fly

Reference 19

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local_arxiv, observed 2026-08-14T05:10:11.298883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:10:11.257897Z digest=sha256:320ce7fbb83e02f218fc7666096fcf5edd5767de6f0c146a5c0d3e03f791affd

Pith citing papers

Observation 187d4d60-4739-4bd2-b7fe-616982e7a5eb · inbound

Physical machine learning outperforms "human learning" in Quantum Chemistry cites this paper.

Physical machine learning outperforms "human learning" in Quantum Chemistry FCHL revisited: faster and more accurate quantum machine learning

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:50:09.872845Z digest=sha256:c31090aab1b9dc64ecf74cf77cf9d4cfc19fed310cc2566af7fa08e5d771276d

Observation bc906f9b-4057-46ed-9a91-62f620ca5a7a · inbound

Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning cites this paper.

Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning FCHL revisited: faster and more accurate quantum machine learning

Reference 360

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local_arxiv, observed 2026-08-14T05:06:03.076513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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