Paper Citation Record · LEDGER

Uni-Mol2: Exploring Molecular Pretraining Model at Scale

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2406.14969.

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

pith.paper-citation-record.v1
2406.14969 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:44:03.880569Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.238484Z

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 b5429805-bce9-45f4-9e25-fe34cee6e890 · inbound

Scaling Structure Aware Virtual Screening to Billions of Molecules with SPRINT cites this paper.

Scaling Structure Aware Virtual Screening to Billions of Molecules with SPRINT Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:23:53.320560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f3f02e7-816b-4776-897a-dbb4710dd19e · inbound

Can AI Agents Design and Implement Drug Discovery Pipelines? cites this paper.

Can AI Agents Design and Implement Drug Discovery Pipelines? Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T05:44:03.880569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cadbae65-eb2e-45ec-8184-cb5ccfe47984 · inbound

Uni-Mol3: A Multi-Molecular Foundation Model for Advancing Organic Reaction Modeling cites this paper.

Uni-Mol3: A Multi-Molecular Foundation Model for Advancing Organic Reaction Modeling Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:29.211410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03ad4e68-8861-41c0-89af-ea160211af98 · inbound

Suiren-1.0 Technical Report: A Family of Molecular Foundation Models cites this paper.

Suiren-1.0 Technical Report: A Family of Molecular Foundation Models Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:18:26.842323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53b9438b-03f2-4ed5-a501-983d2dd36b6c · inbound

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery cites this paper.

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:20:30.320424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b373b2e2-8bb2-4d54-8ee2-4834e2286c8c · inbound

MSAlign: Aligning Molecule and Mass Spectra Foundation Models for Metabolite Identification cites this paper.

MSAlign: Aligning Molecule and Mass Spectra Foundation Models for Metabolite Identification Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:48:07.442398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b270bb17-ede3-4999-a2cf-5084d634a7ce · inbound

DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution cites this paper.

DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 285

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:26:24.131651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba07258b-19bd-4c9b-84a6-db279ea6faae · inbound

SC3: The Multi-Solvent Solubility Challenge and Benchmark cites this paper.

SC3: The Multi-Solvent Solubility Challenge and Benchmark Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:16:54.022461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf8a2c7b-35d5-4c04-8fd5-5e1f03813fbe · inbound

A Unified Generative Framework for Scalable Chemical Reaction Network Exploration cites this paper.

A Unified Generative Framework for Scalable Chemical Reaction Network Exploration Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:39:38.800218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5dfed950-8806-4c22-b116-14ee3d6d1c26 · inbound

Retrieval-Augmented Multimodal Learning for Enzyme-Substrate Interaction Prediction Under Low-Homology Shift cites this paper.

Retrieval-Augmented Multimodal Learning for Enzyme-Substrate Interaction Prediction Under Low-Homology Shift Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.240117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 110e9eb2-403e-432b-8736-838a62a3edab · inbound

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation cites this paper.

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation Uni-Mol2: Exploring Molecular Pretraining Model at Scale

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:25.303213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.