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Paper Citation Record · LEDGER

OLEDLM: A Unified Language Model for OLED Molecular Design

As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.20194.

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

pith.paper-citation-record.v1
2607.20194 v1

Coverage vector

measured 22 of 22 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T10:35:21.025428Z

measured 22 of 22 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

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22 of 22 outbound references displayed

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Outbound references

Observation 6605396c-f857-4cc4-aa0e-44028f4b3f17 · outbound

This paper cites Highly accurate protein structure prediction with alphafold.Nature, 596:583–589, 2021.

OLEDLM: A Unified Language Model for OLED Molecular Design Highly accurate protein structure prediction with alphafold.Nature, 596:583–589, 2021

Reference 1

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source=pdf_text observed=2026-08-01T10:35:19.334933Z digest=sha256:de1a18b3dd29d8eada09e591664d391e6ff404d969d937339f3bad6f1a905608

Observation c67f24c1-8b26-4a80-a8f1-e3c7b90d78fb · outbound

This paper cites A generative model for inorganic materials design.Nature, 639:624–632, 2025.

OLEDLM: A Unified Language Model for OLED Molecular Design A generative model for inorganic materials design.Nature, 639:624–632, 2025

Reference 2

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source=pdf_text observed=2026-08-01T10:35:19.384713Z digest=sha256:7ae35e33bfa757026587b8122bf548329d4750b1cbc7f6b8da07d8e31366d290

Observation 01a695af-4497-4ea6-850f-af30c8f8a795 · outbound

This paper cites Graphvae: Towards generation of small graphs using variational autoencoders.

OLEDLM: A Unified Language Model for OLED Molecular Design Graphvae: Towards generation of small graphs using variational autoencoders

Reference 3

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source=pdf_text observed=2026-08-01T10:35:19.467045Z digest=sha256:62fef475f3334a981c8f344c38a34b93634031af1ccb870ec3a10d3e73b46f0d

Observation fa223ac0-f055-4b82-bafc-ef7d9a2845c4 · outbound

This paper cites Molecular de-novo design through deep reinforcement learning.Journal of Cheminformatics, 9(48), 2017.

OLEDLM: A Unified Language Model for OLED Molecular Design Molecular de-novo design through deep reinforcement learning.Journal of Cheminformatics, 9(48), 2017

Reference 4

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source=pdf_text observed=2026-08-01T10:35:19.515796Z digest=sha256:092465513dd6753d378657244dfc2c16864e6a5915fb182615eded9ae067953c

Observation 0447762e-acc6-4399-9123-33f78efa25b2 · outbound

This paper cites Equivariant diffusion for molecule generation in 3d.

OLEDLM: A Unified Language Model for OLED Molecular Design Equivariant diffusion for molecule generation in 3d

Reference 5

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source=pdf_text observed=2026-08-01T10:35:19.580246Z digest=sha256:9a0ffc330caaefb6cc71d60c0dea2cce180d0aeeb5285b41321762f7d2009177

Observation 5b568917-eff9-4b92-92e4-ddccbe7737df · outbound

This paper cites Geodiff: A geometric diffusion model for molecular conformation generation.

OLEDLM: A Unified Language Model for OLED Molecular Design Geodiff: A geometric diffusion model for molecular conformation generation

Reference 6

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source=pdf_text observed=2026-08-01T10:35:19.631719Z digest=sha256:2d01c62cd7841ab6eaea80c2da5b6fe906e4b16fc0805741d8b783c8f8e8d116

Observation 03bc6d67-ce96-43ec-b544-183dce49d6cc · outbound

This paper cites Uni-mol: A universal 3d molecular representation learning framework.

OLEDLM: A Unified Language Model for OLED Molecular Design Uni-mol: A universal 3d molecular representation learning framework

Reference 7

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source=pdf_text observed=2026-08-01T10:35:19.700333Z digest=sha256:7d611314f2ff4231c4af1d157f9843e67644fa8fa084dbe194be5740b134f10b

Observation 818f8f9c-3d6a-4b28-8f7d-e3070f2d00c7 · outbound

This paper cites Augmented memory: Sample-efficient generative molecular design with reinforcement learning.JACS Au, 4(6):2160–2172, 2024.

OLEDLM: A Unified Language Model for OLED Molecular Design Augmented memory: Sample-efficient generative molecular design with reinforcement learning.JACS Au, 4(6):2160–2172, 2024

Reference 8

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source=pdf_text observed=2026-08-01T10:35:19.770094Z digest=sha256:cce8e0291e8801c6d2ae6bbc6e7689f0f2b91ea3263fa8b8b92357b9585cdf38

Observation f82ee3ab-dbb3-4cb3-9073-94c0c6669c56 · outbound

This paper cites Machine learning-assisted high-throughput screening of transparent organic light-emitting diode anode materials.Chemical Science, 2024.

OLEDLM: A Unified Language Model for OLED Molecular Design Machine learning-assisted high-throughput screening of transparent organic light-emitting diode anode materials.Chemical Science, 2024

Reference 9

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source=pdf_text observed=2026-08-01T10:35:19.822708Z digest=sha256:3bf3e108edf0d3ef863b024b3bd527ffec2cadb046201b388a5e43cacf867cb9

Observation 0dfc4769-460a-46ab-b7ce-3279ee5fc61a · outbound

This paper cites Advancing efficiency in deep-blue oleds: Exploring a machine learning–driven multiresonance tadf molecular design.Science Advances, 11(4), 2025.

OLEDLM: A Unified Language Model for OLED Molecular Design Advancing efficiency in deep-blue oleds: Exploring a machine learning–driven multiresonance tadf molecular design.Science Advances, 11(4), 2025

Reference 10

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Observation e1fc9615-f584-463f-8598-dddb39bf1a5d · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

OLEDLM: A Unified Language Model for OLED Molecular Design DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

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Observation 3da1d92d-33fb-4572-b8b6-dff2430c42e3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

OLEDLM: A Unified Language Model for OLED Molecular Design BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

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Observation 593dc983-43f6-4cd3-9796-e58ce5e7ab2c · outbound

This paper cites ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction.

OLEDLM: A Unified Language Model for OLED Molecular Design ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

Reference 13

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Observation a8bcf306-2855-403d-96e1-4def911601d5 · outbound

This paper cites Large-scale chemical language representations capture molecular structure and properties.Nature Machine Intelligence, 4(12):1256–1264, 2022.

OLEDLM: A Unified Language Model for OLED Molecular Design Large-scale chemical language representations capture molecular structure and properties.Nature Machine Intelligence, 4(12):1256–1264, 2022

Reference 14

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Observation f240875d-8b72-4c35-9d6b-26344983c96f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

OLEDLM: A Unified Language Model for OLED Molecular Design LLaMA: Open and Efficient Foundation Language Models

Reference 15

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source=pdf_text observed=2026-08-01T10:35:20.367886Z digest=sha256:d873bd7f3ac53813995dda87d30f557df5a831d304e6f04888d7a8cc22d86b96

Observation 46242d3a-e9a9-4e16-aeca-db767d53a721 · outbound

This paper cites Language models can learn complex molecular distributions.Nature Communications, 13(1):3293, 2022.

OLEDLM: A Unified Language Model for OLED Molecular Design Language models can learn complex molecular distributions.Nature Communications, 13(1):3293, 2022

Reference 16

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Observation d936404c-dfde-4da1-8fef-82565758108c · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

OLEDLM: A Unified Language Model for OLED Molecular Design Finetuned Language Models Are Zero-Shot Learners

Reference 17

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Observation b8a95da6-b2f3-4a00-8e8f-d0ce9769687c · outbound

This paper cites CTRL: A Conditional Transformer Language Model for Controllable Generation.

OLEDLM: A Unified Language Model for OLED Molecular Design CTRL: A Conditional Transformer Language Model for Controllable Generation

Reference 18

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Observation e43733e2-d9c3-41cb-9d9c-e0a0fbfd104f · outbound

This paper cites Proximal Policy Optimization Algorithms.

OLEDLM: A Unified Language Model for OLED Molecular Design Proximal Policy Optimization Algorithms

Reference 19

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Observation d07f7a1f-8af1-4a66-9cee-84c21225cb48 · outbound

This paper cites Automatic chemical design using a data-driven continuous representation of molecules.ACS Central Science, 4(2):268–276, 2018.

OLEDLM: A Unified Language Model for OLED Molecular Design Automatic chemical design using a data-driven continuous representation of molecules.ACS Central Science, 4(2):268–276, 2018

Reference 20

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Observation bbf18779-5ab5-4b5f-9522-46539293723b · outbound

This paper cites an unresolved cited work.

OLEDLM: A Unified Language Model for OLED Molecular Design Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-01T10:35:20.926434Z digest=sha256:91966059330e5a565cca939a1fe74d17488942e2ac2568c5059e04458c99e90f

Observation ca66785b-e136-4120-8114-25d10b2a496c · outbound

This paper cites The corresponding molecular SMILES, 2D structures, and 3D conformations are presented as follows.

OLEDLM: A Unified Language Model for OLED Molecular Design The corresponding molecular SMILES, 2D structures, and 3D conformations are presented as follows

Reference 22

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Pith citing papers

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