Pith. sign in

Paper Citation Record · LEDGER

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization

As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2502.06891.

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

pith.paper-citation-record.v1
2502.06891 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:48:48.924299Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy40
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05d28e7a-e1f1-4e66-84d2-6042c3bbde2f · outbound

This paper cites write newline.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.649242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.649242Z digest=sha256:35107f21e83fa1b0938812e5c1a1af563c67e66b6dd8ac29b4d1b5189dd85596

Observation b8510a31-4a09-4a27-b053-e757ebc7ec94 · outbound

This paper cites Mol GPT : Molecular generation using a transformer-decoder model.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Mol GPT : Molecular generation using a transformer-decoder model

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.421526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.677342Z digest=sha256:77b8f8736a7064f5cb75d1dfa919388456b4b14c71dea9614cfa5dc81e3d92f8

Observation c0213204-6a27-43fc-b754-bc79f67015da · outbound

This paper cites Molecular similarity: a key technique in molecular informatics.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Molecular similarity: a key technique in molecular informatics

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.411582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.717735Z digest=sha256:2ae95df9d3478692aa304324e37f61cb63b23dbc87580711bf3cf9e6ac0bbb07

Observation 2c0ac015-aa62-424f-b7f4-533ba7c43b3d · outbound

This paper cites Paccmannrl: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Paccmannrl: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.401730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.723874Z digest=sha256:071c4fdf40eaf983d6e909e66fe1cb9bc5ec9b5417e92b90bfb5657345060ae4

Observation dbd8e39f-873f-4406-995f-252d256ae9eb · outbound

This paper cites PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.727702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.727702Z digest=sha256:69d9c6724e1c990ce9bab14373f713d1ed4e5ee335c1a5f205ee58f06a450c4f

Observation ca05fe68-4fdb-4856-835e-d86279124e1f · outbound

This paper cites The cost of new drug discovery and development.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization The cost of new drug discovery and development

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.390769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.732880Z digest=sha256:1c3fac62e4adec9a6b0951fc46bb8bc86326783b95e3f2477aa27913e49eca76

Observation 299f91ee-7b65-4f1d-b484-fc6c7e847d1d · outbound

This paper cites Mermaid: an open source automated hit-to-lead method based on deep reinforcement learning.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Mermaid: an open source automated hit-to-lead method based on deep reinforcement learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.380006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.736807Z digest=sha256:1948cbcff89709d4348acf6ee79f18fe537351023b1617525a1e9d2cb1897fc6

Observation 543382ab-de9e-4646-b61c-efab3e2d01dc · outbound

This paper cites Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.741360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.741360Z digest=sha256:69cc4812c06b313e2b43a6115a3b41070d49bc32ddfa9e1c71e220db3c5e27a6

Observation 31485f63-36d0-4f34-8391-9649188e1e12 · outbound

This paper cites https://www.alcf.anl.gov/polaris, last accessed on 10-2-2023.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization https://www.alcf.anl.gov/polaris, last accessed on 10-2-2023

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.363166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.744658Z digest=sha256:b7d644eae3dd00db89e62f8b98455be07a25f770c30198451af7d30b2dd55491

Observation 22a8094e-4c60-4f42-a8c0-47bf16f456fa · outbound

This paper cites Neural scaling of deep chemical models.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Neural scaling of deep chemical models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.352948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.747919Z digest=sha256:5f57c0b0c56296adde6c3eaac5fda49cd6c544d2b3c3867ae81ee6898a5e88b0

Observation 2d6c710e-e35a-4b84-9477-da36f7d0049d · outbound

This paper cites Mimosa: Multi-constraint molecule sampling for molecule optimization.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Mimosa: Multi-constraint molecule sampling for molecule optimization

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.342674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.752101Z digest=sha256:2b53712dd83c364074149166806d683a3a073ac3ee59906d719451a5be9a8208

Observation bd6f1352-2f94-4aa4-9d69-97b8420210a3 · outbound

This paper cites A new algorithm for data compression.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization A new algorithm for data compression

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.331069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.755461Z digest=sha256:0f1d3e46bfc120371858781619dcd88b9e1c07e2643d6b1c8f6d905c8d04a550

Observation 4f03ba2f-0e9f-4d4e-90d2-071b2ed0d012 · outbound

This paper cites Scaling laws for reward model overoptimization.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Scaling laws for reward model overoptimization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.759128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.759128Z digest=sha256:de76aa36d7163d45f33505e51f46f1fc7d0e3dca7f598d5b90f6e4fce4ec660d

Observation ccd42335-f39f-462a-9257-b3d33b275a8d · outbound

This paper cites Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.761997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.761997Z digest=sha256:52fbd05f5142b7961250d224b030ebff0c4c075fbdbd4833bd077f5f8c9ee230

Observation e9b0e068-ed1c-40ec-bb27-423e7c349bf2 · outbound

This paper cites Covid-19 vaccines and variants of concern: A review.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Covid-19 vaccines and variants of concern: A review

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.313729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.765308Z digest=sha256:dcea9a90dea56258638ab990618afeeec53df402234ce613c54aa3d41fb16632

Observation 65ef0763-d376-4284-87ac-c42ef7890485 · outbound

This paper cites Molecular optimization by capturing chemist’s intuition using deep neural networks.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Molecular optimization by capturing chemist’s intuition using deep neural networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.303164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.768537Z digest=sha256:53621294d2312c4b446f585e60353b7802cc39f5467ee5bb33a563551d120804

Observation d84b3ac4-1383-4b14-8e8f-6968c5c0d480 · outbound

This paper cites Transformer-based molecular optimization beyond matched molecular pairs.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Transformer-based molecular optimization beyond matched molecular pairs

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.293612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.772320Z digest=sha256:95baaa936bc611b9be1868dd4ce05f6ac4dfc42d6b23b90794d768e10956515d

Observation e37270b6-00d3-4377-9740-0124726b6500 · outbound

This paper cites Structure modification in chemical databases.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Structure modification in chemical databases

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.284078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.775390Z digest=sha256:56729b5a7bbbde11eb66a3968b3cb118933f34f671746aa16a3952338783be42

Observation 160b7f7c-aa24-4dff-bea6-2c49c27f8e7a · outbound

This paper cites Self-referencing embedded strings ( SELFIES ): A 100\ Machine Learning: Science and Technology, 1 0 (4): 0 045024, 2020.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Self-referencing embedded strings ( SELFIES ): A 100\ Machine Learning: Science and Technology, 1 0 (4): 0 045024, 2020

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.274717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.778818Z digest=sha256:5a9d986938fae04825a8c3efef056a8f30e16a40421490e1835b6a7eff77c72f

Observation ea735a20-9cca-454c-9aa1-e8253b899817 · outbound

This paper cites R D kit: Open-source cheminformatics software.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization R D kit: Open-source cheminformatics software

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.265327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.782290Z digest=sha256:d977d74c279e6c3c6fd16104d69b37e29a6ebe6b08afcc9beb89bc056a4c5b25

Observation 3be55813-5c5c-4475-a637-7115de1dd712 · outbound

This paper cites Machine Translation Decoding beyond Beam Search.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Machine Translation Decoding beyond Beam Search

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.785382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.785382Z digest=sha256:a1c9edf21aed8eba711483369068793754c5f8090d3133b1cbbda8bde1614279

Observation 5815ec6a-e4e7-4bcc-9618-e3dc0c22caa4 · outbound

This paper cites Druggpt: A gpt-based strategy for designing potential ligands targeting specific proteins.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Druggpt: A gpt-based strategy for designing potential ligands targeting specific proteins

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.255832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.789094Z digest=sha256:ac43a63972b549d591e67b5d6fc0596fe41a0ac64b5e53bd08cf2d82cb99c720

Observation 0d1099eb-5a80-40ec-bb7b-0558d0516f8a · outbound

This paper cites Drugimprover: Utilizing reinforcement learning for multi-objective alignment in drug optimization.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Drugimprover: Utilizing reinforcement learning for multi-objective alignment in drug optimization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.245453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.792750Z digest=sha256:4271e5f2f579605386dc1890986b2475d87b1681d56f56d88539f4df9b5d70b9

Observation 8ad4577c-f56b-477e-82a1-c3280eacf983 · outbound

This paper cites Entropy-reinforced planning with large language models for de novo drug discovery.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Entropy-reinforced planning with large language models for de novo drug discovery

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.126974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.796186Z digest=sha256:272da9f874d525bb891b93e5b4a6acae66e6adc3257ee95c4d4b0c3ba990a2bc

Observation ab100cbd-ddde-4309-943e-c12cf3a08df3 · outbound

This paper cites Drugex v3: scaffold-constrained drug design with graph transformer-based reinforcement learning.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Drugex v3: scaffold-constrained drug design with graph transformer-based reinforcement learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:50.096127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.799906Z digest=sha256:9413aa93f84c452598beeaa4cc698bdb40ba855e1f27b28e2d3f7b1f09909e68

Observation 3f36c188-8d2b-44b8-9566-37b08fdccba8 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.803148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.803148Z digest=sha256:a0bdbe3e16f7c5fa0f24538be179f8c8d5d5ceb33101a8f13df7faacdb6ceac7

Observation ae0dc80a-87c0-4b2a-98d8-de4551c84699 · outbound

This paper cites Reinvent 4: Modern ai--driven generative molecule design.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Reinvent 4: Modern ai--driven generative molecule design

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.986587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.807782Z digest=sha256:3d0495066936d1b2f7347355034ee068348d0cd80fe12a445f2e60fdff0f4d3f

Observation 3478f060-c55a-44c6-9e73-5a11d074d7b1 · outbound

This paper cites The different mechanisms of cancer drug resistance: a brief review.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization The different mechanisms of cancer drug resistance: a brief review

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.939181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.811346Z digest=sha256:1bcd821ccaa2e1b909e5bbb45f5bf3a4ff3272e5e6d11c5bf3953a4f8168e057

Observation 5c732e7d-9fa7-49fe-b38e-04a3d53d96fb · outbound

This paper cites LLM drug discovery challenge: A contest as a feasibility study on the utilization of large language models in medicinal chemistry.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization LLM drug discovery challenge: A contest as a feasibility study on the utilization of large language models in medicinal chemistry

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.929166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.814617Z digest=sha256:dd8f47818d67e2548e131833aaf3d9224f368efeaec705b5de3e171c9b7a266f

Observation 0966b831-5c8f-48ca-aa1a-a1bec49512d5 · outbound

This paper cites Exploring deep recurrent models with reinforcement learning for molecule design.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Exploring deep recurrent models with reinforcement learning for molecule design

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.918256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.818002Z digest=sha256:2dada45382fe0bc929e70cab402db23848403228345bb1c48d776b7dc045355c

Observation 354cda79-dbf4-457b-a07a-6a624a2830a7 · outbound

This paper cites An empirical evaluation of github copilot's code suggestions.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization An empirical evaluation of github copilot's code suggestions

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.907748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.821505Z digest=sha256:f62417521d95aeec0e4671bfabfbdd16a82e24088ba92dee89f129d7adca7be2

Observation c118e4be-3722-462a-92b0-eb835fec74a0 · outbound

This paper cites Molecular de-novo design through deep reinforcement learning.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Molecular de-novo design through deep reinforcement learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.897404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.824825Z digest=sha256:9849972f1ff6748e6a03d923dc52f3bd6b43e5010870448892ace39c34ca9cdd

Observation c5b61498-9464-4b9e-a9dd-af018df313f2 · outbound

This paper cites Training language models to follow instructions with human feedback.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Training language models to follow instructions with human feedback

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.828344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.828344Z digest=sha256:e98adcc36acf259a0dc01172f489c66abb1fd6471937d49fb9d375077da82661

Observation 08749d7c-d8ca-4dcf-b783-50772ab8a9b7 · outbound

This paper cites Deep reinforcement learning for de novo drug design.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Deep reinforcement learning for de novo drug design

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.879919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.831626Z digest=sha256:c6c08cfecaddc2c3d3b0a9f69595cdba13db0e0a2263ef7fffb0961bc01fe1be

Observation 3e1ca71f-a020-496a-beaa-a08f84962188 · outbound

This paper cites Drug repurposing: Progress, challenges and recommendations.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Drug repurposing: Progress, challenges and recommendations

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.848515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.834751Z digest=sha256:7123ebee64e27a79a37a916483a1b00c035dda19c9d6f91a7790418908511643

Observation 2f217467-adde-4d6c-b40f-3cee25b7bf42 · outbound

This paper cites Markov decision processes: Discrete stochastic dynamic programming.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Markov decision processes: Discrete stochastic dynamic programming

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.761346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.838432Z digest=sha256:a4bcc13434177b12d5e67d0874a9619a7439606f6f89ff2709a760dc5a696839

Observation 52f0b00a-2644-4a2c-975b-c0f2b39954a9 · outbound

This paper cites C5T5: Controllable Generation of Organic Molecules with Transformers.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization C5T5: Controllable Generation of Organic Molecules with Transformers

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.841783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.841783Z digest=sha256:ac010c78192b217bac53b8c8536a4740fdf7340bd93887e850dded8a7bad1a60

Observation 97124b5f-6d27-4000-9cd8-2089f505b60a · outbound

This paper cites To beam or not to beam: That is a question of cooperation for language GANs.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization To beam or not to beam: That is a question of cooperation for language GANs

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.701778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.845581Z digest=sha256:9c6ccebf55621254c26bbb3e8491f99881b00dc6e06ce8200271779c0d059cf6

Observation 9241b1cd-54a9-4641-bf4c-9748bd15eb0a · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Neural Machine Translation of Rare Words with Subword Units

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.849119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.849119Z digest=sha256:b72e93259c7ac625593d08cd2c81695419d0c5459f1bbe47552aeb8f621876ab

Observation 5bfcb819-19ed-48f6-b6ad-112af12674db · outbound

This paper cites Deep reinforcement learning for multiparameter optimization in de novo drug design.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Deep reinforcement learning for multiparameter optimization in de novo drug design

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.691597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.853565Z digest=sha256:0cf20ffdb56fcd5957e973f63b45cc79ba0bea49bd1dced3a60c27ad42cb2454

Observation 3ea49542-6265-4877-9c3b-ed125fd60aaa · outbound

This paper cites Molsearch: search-based multi-objective molecular generation and property optimization.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Molsearch: search-based multi-objective molecular generation and property optimization

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.657604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.857218Z digest=sha256:78edf8d42413dbb018a2c1b879f52a6bf5bdaf4bb19f26b57e4c6863de2337ac

Observation c5bc5eba-8cb2-4101-91ea-41cd4e0a82b3 · outbound

This paper cites Reinforcement learning for systems pharmacology-oriented and personalized drug design.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Reinforcement learning for systems pharmacology-oriented and personalized drug design

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.618731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.860445Z digest=sha256:e2d3989950fe5e4a83974a3c32078d70840a26021dd52e3506a06f19c37302d8

Observation 24ffdae0-fd50-4aea-882f-f4a886eb91f5 · outbound

This paper cites Drlinker: Deep reinforcement learning for optimization in fragment linking design.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Drlinker: Deep reinforcement learning for optimization in fragment linking design

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.540320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.864154Z digest=sha256:6abee77159f4a9761f5b1e514638e62aa8807935764ac13199d8ad4a321c9ac3

Observation 8ee71e30-f3c6-4588-82d4-bd378a5d816b · outbound

This paper cites Matched molecular pair analysis in short: algorithms, applications and limitations.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Matched molecular pair analysis in short: algorithms, applications and limitations

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.414418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.867516Z digest=sha256:ba1ce79f77acfd0c36a1fff284a7aa58e3451029ad03a573737cc2a8ff1eaeea

Observation 86f34c6b-245f-4110-a6d8-07f914e36146 · outbound

This paper cites Benchmarking language-based docking models.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Benchmarking language-based docking models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.370570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.870408Z digest=sha256:f8fee2f78e2d582ea94adf739f39ea9022e976a31073009ee5cc59398511b2da

Observation c5535253-95fe-4ede-8954-33a4cb6bab60 · outbound

This paper cites A reinforcement learning approach for protein--ligand binding pose prediction.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization A reinforcement learning approach for protein--ligand binding pose prediction

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.352887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.874551Z digest=sha256:677ae72ef419533cd2320d57636543e6abad191b64a927f3ad05e44d9c268dfc

Observation cde12b7c-905d-42cd-98d8-898370dc4dc9 · outbound

This paper cites A Transformer-based Generative Model for De Novo Molecular Design.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization A Transformer-based Generative Model for De Novo Molecular Design

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.877675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.877675Z digest=sha256:66b233ba060ee15f39bd2f64b833d28ecefa03a4903fdc8f7b19f766fcc60926

Observation 36b8d64c-eca8-4c0c-96d3-7fe1d2346ba4 · outbound

This paper cites Smiles, a chemical language and information system.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Smiles, a chemical language and information system

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.881315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.881315Z digest=sha256:fe3942e4588a209f25ab6a9b42dbea2fb67f181b3a1d51fccd55a4e995d94801

Observation 5bb88398-540c-4f8a-bb87-2ed436ff169c · outbound

This paper cites A brief overview of chatgpt: The history, status quo and potential future development.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization A brief overview of chatgpt: The history, status quo and potential future development

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.330495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.885379Z digest=sha256:36581b178302be28211677be60a190811bd0ec2b089e19475bbda32a1eaa3dec

Observation 53145868-170e-4126-8ede-09c4d287d64d · outbound

This paper cites Covid-19 pathophysiology: A review.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Covid-19 pathophysiology: A review

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.315307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.888552Z digest=sha256:1a3819c0a0ac705bc1c1777f3ddb82452d5f24bd2975d95abfae73b01d05c563

Observation 89c57b61-669b-4af0-bece-c4fe23651fac · outbound

This paper cites Planning with Large Language Models for Code Generation.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Planning with Large Language Models for Code Generation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.891629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.891629Z digest=sha256:bb953315409220eca0cde51f7cc43336ad37da50baffd227b37dae5b205b55e6

Observation eeb43a18-b020-4605-9e90-940ce2698ae5 · outbound

This paper cites Universal approach to de novo drug design for target proteins using deep reinforcement learning.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Universal approach to de novo drug design for target proteins using deep reinforcement learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.301532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.895436Z digest=sha256:79babc34419a6283bc1ad36aa71b88b66f4c9da091c1a54b10804419dadae569

Observation 0d75c22e-92ae-4037-b306-6a92b38ab85d · outbound

This paper cites Optimization of molecules via deep reinforcement learning.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Optimization of molecules via deep reinforcement learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:48:49.219276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.899574Z digest=sha256:22dd5205eaef6f0932fff7bda4517d84946c3175f3d8c64e8bf4804b6e254855

Observation 5326699d-1bd9-4d29-bd40-c49afbf595d2 · outbound

This paper cites @esa (Ref.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization @esa (Ref

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.907575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.907575Z digest=sha256:bf8e7072cd67267b9b9169c53ea9276702c827b051ae5e2485eff9b6b42d42ec

Observation ff1d1ac8-ab4a-431b-9098-9f554a694525 · outbound

This paper cites an unresolved cited work.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.916044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.916044Z digest=sha256:6e6039b0161905fcdb1c379e4537307bcb27eb637c5a4080a40784b3dba3e79b

Observation f375dbfd-512c-434c-a076-32a551b2befc · outbound

This paper cites an unresolved cited work.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Unresolved cited work

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-08-08T17:48:49.117448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T17:48:48.924299Z digest=sha256:7e7b198f0620fa9bf6d225c89dcefc2126b7d7d5c5c788d6ccd73fbc035c6c89

Pith citing papers

No inbound Pith citation observations are available.