Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ChemBERTa-2: Towards Chemical Foundation Models
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2209.01712.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T07:36:34.743066Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T09:49:44.745385Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
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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 f7b8f989-c8cb-40eb-88de-ae98e5b12fe6 · inbound
Thermodynamically consistent machine learning model for excess Gibbs energy cites this paper.
Thermodynamically consistent machine learning model for excess Gibbs energy ChemBERTa-2: Towards Chemical Foundation Models
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T18:41:44.734459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4ca02074-b492-4a8a-b194-d9879d4ae7f9 · inbound
oMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning cites this paper.
oMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning ChemBERTa-2: Towards Chemical Foundation Models
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T09:46:12.574802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2102a122-471e-4bcf-8c73-ff2131b7b2cf · inbound
Foundation Models for Discovery and Exploration in Chemical Space cites this paper.
Foundation Models for Discovery and Exploration in Chemical Space ChemBERTa-2: Towards Chemical Foundation Models
Reference 144
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:52:24.965894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aebeb27c-7c00-4a9e-b624-2e5f22277b6f · inbound
The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone cites this paper.
The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone ChemBERTa-2: Towards Chemical Foundation Models
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35202730-720f-4e91-86fb-7699ca87525b · inbound
Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components cites this paper.
Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components ChemBERTa-2: Towards Chemical Foundation Models
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T18:34:17.981696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f5a8756e-dccf-4ea1-86d9-8317e2c1db5f · inbound
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs cites this paper.
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs ChemBERTa-2: Towards Chemical Foundation Models
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:22:10.522036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bc14c8e-01e1-40f6-9387-dcad5bfb0950 · inbound
MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules cites this paper.
MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules ChemBERTa-2: Towards Chemical Foundation Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:54:21.088726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1004ea1-c08f-44a0-9804-c330bc031cba · inbound
CVT Archives and Chemical Embedding Measures for Multi-Objective Quality Diversity in Molecular Design cites this paper.
CVT Archives and Chemical Embedding Measures for Multi-Objective Quality Diversity in Molecular Design ChemBERTa-2: Towards Chemical Foundation Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:15:50.467015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9c715081-ebd3-4134-90a3-4b03bf2897f3 · inbound
A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era cites this paper.
A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era ChemBERTa-2: Towards Chemical Foundation Models
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:43:01.460387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0122a0d4-3632-4a4d-8a7e-444590592c7d · inbound
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction cites this paper.
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction ChemBERTa-2: Towards Chemical Foundation Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:16:27.737196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1a4cb876-2f94-4209-be74-7c78f6c27e2e · inbound
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction cites this paper.
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction ChemBERTa-2: Towards Chemical Foundation Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:42:42.030611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 472a3698-e2d0-41df-9a03-da14380620ce · inbound
Bolek: A Multimodal Language Model for Molecular Reasoning cites this paper.
Bolek: A Multimodal Language Model for Molecular Reasoning ChemBERTa-2: Towards Chemical Foundation Models
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:36:10.051375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1d15f216-6ea7-4bed-ba79-637fe6be94ad · inbound
Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction cites this paper.
Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction ChemBERTa-2: Towards Chemical Foundation Models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T19:57:53.730105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 48aa5b3b-ea3e-4e9f-9615-5157b03ae0dc · 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 ChemBERTa-2: Towards Chemical Foundation Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:48:07.423446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ac3a9c4d-eaa0-4672-b327-bbb44c4fb73a · inbound
SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules cites this paper.
SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules ChemBERTa-2: Towards Chemical Foundation Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T05:31:07.765507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 18572fef-412c-45da-b9e9-656ea5490d05 · inbound
One Mask to Rule Them All: On Hidden Facts after Editing and How to Find Them cites this paper.
One Mask to Rule Them All: On Hidden Facts after Editing and How to Find Them ChemBERTa-2: Towards Chemical Foundation Models
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77051319-ad9e-4e45-b1c9-aa32669bf7a1 · inbound
The Biosecurity Blind Spot: Systematic Dual-use Detection in Open Science Infrastructure cites this paper.
The Biosecurity Blind Spot: Systematic Dual-use Detection in Open Science Infrastructure ChemBERTa-2: Towards Chemical Foundation Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:45:46.499320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c97e9aa0-c335-41c7-bc1a-5a15ccde1653 · inbound
The Metric Picks the Winner: Evaluation Choice Flips Model Rankings for Drug-Response Prediction in Unseen Chemistry cites this paper.
The Metric Picks the Winner: Evaluation Choice Flips Model Rankings for Drug-Response Prediction in Unseen Chemistry ChemBERTa-2: Towards Chemical Foundation Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T09:17:48.698863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dcadaf46-44d6-44d5-b205-2ab44ef9e6b5 · inbound
What Does a Chemical Language Model Know About Molecules? cites this paper.
What Does a Chemical Language Model Know About Molecules? ChemBERTa-2: Towards Chemical Foundation Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T09:49:44.746691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.