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Paper Citation Record · LEDGER

OLEDLM: A Unified Language Model for OLED Molecular Design

As of 4 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 2026-08-04T06:34:03.388597+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=sha256:2407896e3935b81f84359eb729e8346231187693be36248c165f9b8cb6c13e08

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=sha256:5b259e88b222a57a872f78b7f09bb16417f86d50b53fb80d92d1a3eec2635021

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:d36276f31f5ba1b4a5ebfca7c7ba1c817f7602470ccc8d7ae9ccf8b1de366ca7

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=sha256:1db9f21601e5be307ced9c9b3523f43fca2aaef9b3750eea995c8af0328bccfd

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=sha256:32974c19a9f901cd4ef51f97df1e9666a5236d6ef17ade39e67c1e250eb72a52

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=sha256:073faf24192a2a3fd95807e55ac802f78392cd8960786b232fc5f7f038b3db8c

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=sha256:348ff210c36034ff1b743f03c29ad34c2c857d4b43d55af5481943f9a672bfeb

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:a5eb7469a0c049acc290e251eccd02be369d13c8d9958e794ca54de2936e6b5f

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=sha256:7c7f6c7b1e81e7294ee0fab05fef1524dc3aedb8cc7b22a316e436992ff9bbca

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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source=pdf_text observed=2026-08-01T10:35:19.907404Z digest=sha256:3e82f30534d4ad61b4f8bcbbc63d0808cbf641054e06772e3316209e91f98fab

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=sha256:99b26bfff268dad0a51a959aa52c01ada11d82ef8df4066f37286f43a68c21f7

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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source=pdf_text observed=2026-08-01T10:35:20.703210Z digest=sha256:fcc5ec89623f49dad8685d1278714db642208420f8f80f1ea9cd1f35a7ad919f

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:f7d1b66faab7f32a12a62a9431eb381df69108cfcf3b5c6629981dbd2dfbbdeb

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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