Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T14:32:02.974833Z
Paper Citation Record · LEDGER
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning
As of 5 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2605.28287.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
13 of 13 outbound references displayed
- verified exact10
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7b811011-6cc6-4546-8264-e0dc72cd88a0 · outbound
This paper cites Proximal Policy Optimization Algorithms.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning Proximal Policy Optimization Algorithms
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:33:30.439957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bbfcf743-dc31-4497-b38a-8d6cfb4e6f4a · outbound
This paper cites Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T14:33:30.443626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 75d4b12f-0b59-4259-9bcd-163ac55079ca · outbound
This paper cites MolMiner: Toward Controllable, 3D-Aware, Fragment-Based Molecular Design.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning MolMiner: Toward Controllable, 3D-Aware, Fragment-Based Molecular Design
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-15T00:21:10.949341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8230de2c-a4ee-4a1a-8767-a358beb00573 · outbound
This paper cites Scalable Fragment-Based 3D Molecular Design with Reinforcement Learning.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning Scalable Fragment-Based 3D Molecular Design with Reinforcement Learning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:33:30.454894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b8dd4c74-3bd0-4599-b14d-7cbbb72012e2 · outbound
This paper cites An empirical investigation of the challenges of real-world reinforcement learning.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning An empirical investigation of the challenges of real-world reinforcement learning
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T14:33:30.451766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5d37cf92-4ae1-4d0d-9a97-ecef564493a1 · outbound
This paper cites Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:33:30.431054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation be5ec70e-f929-4f7b-9abe-c5e30e88c963 · outbound
This paper cites A Systematic Survey of Chemical Pre-trained Models.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning A Systematic Survey of Chemical Pre-trained Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:33:30.440674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c9df0232-928e-44cb-92b7-c0a1de2da8c1 · outbound
This paper cites A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:33:30.434211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5c84995e-b362-4be3-b950-2912b2b6b28d · outbound
This paper cites MARS: Markov Molecular Sampling for Multi-objective Drug Discovery.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:33:30.437736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a7af9b7c-2a34-4678-8a86-15948aadba9c · outbound
This paper cites Enum eration of 166 billion organic small molecules in the chemical universe database GDB -17.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning Enum eration of 166 billion organic small molecules in the chemical universe database GDB -17
Reference 10
- Resolution
- metadata mismatch
- doi, observed 2026-06-29T14:33:30.178319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 73430685-bcf7-4fd7-8b02-e35b8f29251e · outbound
This paper cites an unresolved cited work.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning Unresolved cited work
Reference 11
- Resolution
- verified exact
- doi, observed 2026-06-29T14:33:30.180757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2ab43e46-16c2-4161-a97e-d704a6fbb518 · outbound
This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning Safe RLHF: Safe Reinforcement Learning from Human Feedback
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:33:30.446015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5d7ccd25-6e33-435c-9d94-2f575098a0e6 · outbound
This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:33:30.448566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.