Paper Citation Record · LEDGER

UniGEM: A Unified Approach to Generation and Property Prediction for Molecules

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.10516.

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

pith.paper-citation-record.v1
2410.10516 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:20:40.201052Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:46:53.633886Z

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 86f162b5-c858-4b17-897d-77ea869d581f · inbound

TFG-Flow: Training-free Guidance in Multimodal Generative Flow cites this paper.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow UniGEM: A Unified Approach to Generation and Property Prediction for Molecules

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T15:20:40.201052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 795f7e28-9a1d-4167-a8d8-355449d3a9c3 · inbound

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

Synergistic Benefits of Joint Molecule Generation and Property Prediction UniGEM: A Unified Approach to Generation and Property Prediction for Molecules

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:46:53.635503Z

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 c1767fd9-1daa-449a-929b-aa6e4f0c8d49 · inbound

Predicting and generating antibiotics against future pathogens with ApexOracle cites this paper.

Predicting and generating antibiotics against future pathogens with ApexOracle UniGEM: A Unified Approach to Generation and Property Prediction for Molecules

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:35:33.938918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79727950-08ac-4487-97c1-93bf32401f5d · inbound

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation cites this paper.

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation UniGEM: A Unified Approach to Generation and Property Prediction for Molecules

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T11:28:55.853334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3766e76-d401-4c48-a4f0-1980c23157bf · inbound

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames cites this paper.

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames UniGEM: A Unified Approach to Generation and Property Prediction for Molecules

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T07:22:12.853611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f32a928-8382-40a6-bbc5-53d1ac2bf0ca · inbound

VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing cites this paper.

VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing UniGEM: A Unified Approach to Generation and Property Prediction for Molecules

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T23:02:57.934180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.