Paper Citation Record · LEDGER

GraphEBM: Molecular Graph Generation with Energy-Based Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2102.00546.

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

pith.paper-citation-record.v1
2102.00546 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T03:03:50.062636Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:05:42.751559Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 48150dd4-ac2d-4b3c-8058-7099cc7d4d34 · inbound

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design cites this paper.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design GraphEBM: Molecular Graph Generation with Energy-Based Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:33:25.819085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9cbedc8-2509-4c1a-ad53-bd71ae182d51 · inbound

Synergistic Benefits of Joint Molecule Generation and Property Prediction cites this paper.

Synergistic Benefits of Joint Molecule Generation and Property Prediction GraphEBM: Molecular Graph Generation with Energy-Based Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:46:53.676299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cf3fe64-9534-4e63-8c81-f0f216f13544 · inbound

Latent Diffusion Pretraining for Crystal Property Prediction cites this paper.

Latent Diffusion Pretraining for Crystal Property Prediction GraphEBM: Molecular Graph Generation with Energy-Based Models

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:32:34.872217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ada8b39-b28f-4698-bbe4-dc7c84e2a365 · inbound

Contrastive Regularization of Machine Learning Potentials cites this paper.

Contrastive Regularization of Machine Learning Potentials GraphEBM: Molecular Graph Generation with Energy-Based Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:05:42.753619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.