Paper Citation Record · LEDGER

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table

As of 6 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2606.30961.

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

pith.paper-citation-record.v1
2606.30961 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact13
verified fuzzy11
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e383d11e-395f-4479-880b-a0c37f716fbe · outbound

This paper cites quicksearch.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table quicksearch

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.799102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation def1152f-f766-4c37-98a8-1d4dbe37e85a · outbound

This paper cites J Chem Inf Comput Sci 1988, 28, 31-36.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table J Chem Inf Comput Sci 1988, 28, 31-36

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.797354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b9084c32-b449-454e-b70e-c6f64b7a92bf · outbound

This paper cites X.; Zhang, S.; Chen, P.; Lo, A.; Müller, M.; Tom, G.; Huang, M.; Mantilla, L.; Kang, Y.; Bernales, V.; Aspuru-Guzik, A.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table X.; Zhang, S.; Chen, P.; Lo, A.; Müller, M.; Tom, G.; Huang, M.; Mantilla, L.; Kang, Y.; Bernales, V.; Aspuru-Guzik, A

Reference 3

Resolution: verified exact; doi, observed 2026-07-01T00:55:11.431644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8589cee9-2f94-46cd-b103-b138f474642a · outbound

This paper cites Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:11.463994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3ca099d3-6d3f-41ee-ad95-b212a01fe78b · outbound

This paper cites Toney, Weiliang Luo, Johannes Kästner, Mathias Niepert, and Heather J.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Toney, Weiliang Luo, Johannes Kästner, Mathias Niepert, and Heather J

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:11.449847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b347ca6e-ef3e-4dcf-9ff1-d0041478ca34 · outbound

This paper cites Levine, Muhammed Shuaibi, Evan Walter Clark Spotte-Smith, Michael G.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Levine, Muhammed Shuaibi, Evan Walter Clark Spotte-Smith, Michael G

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T00:55:11.472743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6606b04d-fa4d-44e7-b0dc-43bc02a2df2c · outbound

This paper cites Improving the Reliability of Molecular String Representations for Generative Chemistry.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Improving the Reliability of Molecular String Representations for Generative Chemistry

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.814098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c26431e3-f9ae-42b0-9e23-375734f72c77 · outbound

This paper cites an unresolved cited work.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-07-07T08:03:30.815711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 823fd149-5a40-4b91-ae38-271baa8b6ce0 · outbound

This paper cites P.; Engkvist, O.; Rodrigues, T.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table P.; Engkvist, O.; Rodrigues, T

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.817390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c5c7c609-213e-4bfa-9ca5-278358b5fe93 · outbound

This paper cites A.; Schneider, N.; Stiefl, N.; Riniker, S.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table A.; Schneider, N.; Stiefl, N.; Riniker, S

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.810560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50ddbbdf-3456-444d-a1a8-942568070a0b · outbound

This paper cites Distance in Latent Space as Novelty Measure.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Distance in Latent Space as Novelty Measure

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:11.446656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa437fdd-ead1-4ac7-a2d6-d77232d92f40 · outbound

This paper cites Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:11.434580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c90c9f82-487f-44cc-b3bc-50c687092467 · outbound

This paper cites Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:11.469933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ff5558e4-e145-4b63-8d3d-f26ae316e95f · outbound

This paper cites an unresolved cited work.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-07-07T08:03:30.808979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 360f4265-1c7c-42c1-9d83-6d29de9a6f3a · outbound

This paper cites Is the Last Layer Sufficient for Uncertainty Quantification?.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Is the Last Layer Sufficient for Uncertainty Quantification?

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:55:11.475652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 77914227-f081-4415-90b0-ac695c97cb08 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Fast Graph Representation Learning with PyTorch Geometric

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:55:11.478307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8da6c38f-464e-47d9-a961-9720244a6d14 · outbound

This paper cites R.; Bruno, I.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table R.; Bruno, I

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.805930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 03ed106d-6101-450c-b7ee-ee0fcac97029 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Semi-Supervised Classification with Graph Convolutional Networks

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:55:11.454958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f675e5c0-75d6-4e7d-ab14-1a1774de4d6f · outbound

This paper cites 2020 IEEE 23rd International Multitopic Conference (INMIC), Bahawalpur, Pakistan,.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table 2020 IEEE 23rd International Multitopic Conference (INMIC), Bahawalpur, Pakistan,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.804240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5c3c61ad-eea3-451b-b935-5d73dafba7d3 · outbound

This paper cites Comput Chem Eng 2020,.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Comput Chem Eng 2020,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.812261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 31b1d2d6-8bbc-47de-8a5d-177f51135a2b · outbound

This paper cites Layer by Layer: Uncovering Hidden Representations in Language Models.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:55:11.460664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f604814-61c9-4bfc-855e-a463e1eec428 · outbound

This paper cites A Shared Encoder Approach to Multimodal Representation Learning.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table A Shared Encoder Approach to Multimodal Representation Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:11.438044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e0759a22-2c5c-4a21-bbe0-51b080f4b217 · outbound

This paper cites W.; St Michel, R.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table W.; St Michel, R

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.807439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18d657bc-5af1-4651-9b33-59047612ad43 · outbound

This paper cites Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:55:11.467052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5473896b-b428-4553-b418-d6d8c57b9fde · outbound

This paper cites What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:55:11.443142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a62fce5b-7979-423f-82e0-f5812e642af9 · outbound

This paper cites an unresolved cited work.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-07-07T08:03:30.819225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 43249b20-35c6-46e7-bb2d-d7952a1c7440 · outbound

This paper cites ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification across the Periodic Table.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification across the Periodic Table

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.800985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ca733fe3-5046-4ce1-b0e0-948df1b5c26b · outbound

This paper cites (Accessed October 5).

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table (Accessed October 5)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T08:03:30.802617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dd67c18b-57df-42ec-b3a5-1e32519012ea · outbound

This paper cites ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification across the Periodic Table.

Reference 30

Resolution: verified exact; doi, observed 2026-07-01T00:55:11.452254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c044118a-6cc6-4c5d-9e20-f3290cbd3fa2 · outbound

This paper cites (Accessed June 12).

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table (Accessed June 12)

Reference 31

Resolution: verified exact; doi, observed 2026-07-01T00:55:11.440215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de097130-4efe-4060-919f-1ca7f1150d3c · outbound

This paper cites The BOS-TMC Dataset: DFT Properties of 159k Experimentally Characterized Transition Metal Complexes Spanning Multiple Charge and Spin States.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table The BOS-TMC Dataset: DFT Properties of 159k Experimentally Characterized Transition Metal Complexes Spanning Multiple Charge and Spin States

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:55:11.457894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.