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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:35:33.938918Z

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 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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T17:45:35.968422Z digest=sha256:dce515522d438b25c17c0adcc63b235709d5f27b100db2865b3bcfed56b813f3

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.

source=pdf_text observed=2026-08-06T18:35:33.938918Z digest=sha256:950023ec8f67879791807a6bde0e916d7c5564379e0541fb232727d3c32f8d69

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.

source=arxiv_source observed=2026-08-04T11:28:55.853334Z digest=sha256:136cd634b895ee118ee67acd3d5d850dc97a4328796a8cfb0ce528e77837d843

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.

source=arxiv_source observed=2026-08-04T07:22:12.853611Z digest=sha256:9eadd9dcd5cdda3e32d12b8b11ed1b22d0d597a9499c58c6122f5d21cbf7851e

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.

source=pdf_text observed=2026-08-03T23:02:57.934180Z digest=sha256:afade48600287e0f1f51421d5d2e3b3de491059f768ebf49700123316f9bf08a