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Paper Citation Record · LEDGER

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning

As of 23 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.07209.

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

pith.paper-citation-record.v1
1908.07209 v4

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:26:50.347920Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

41 of 41 outbound references displayed

  • verified exact2
  • verified fuzzy29
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99d51617-d2c3-4b4f-bf73-dd71acf14976 · outbound

This paper cites Computational Exploration of Molecular Scaffolds in Medicinal Chemistry.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Computational Exploration of Molecular Scaffolds in Medicinal Chemistry

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.154125Z digest=sha256:01bd5b05a6b4c3db0bb8a44c349e2b485b11264143fa8753428ea6d5924b75f9

Observation 38a13a73-ea8f-4e9b-b805-3bea9d8a33ad · outbound

This paper cites W.; Murcko, M.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning W.; Murcko, M

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.159516Z digest=sha256:c1622b9f322bb544d22ef1f7f2033700906a995eb320481a38adc0a7c2a6d12b

Observation 4a57eb3e-1192-451d-90bf-6d13111b3898 · outbound

This paper cites an unresolved cited work.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Unresolved cited work

Reference 3

Resolution
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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T12:26:50.164657Z digest=sha256:e90805150f8e03ccbda657de4e5fb33e293d2b9e86f50ac2e17b8b49321989b6

Observation c36410a9-597a-4d67-8799-a4f0b069d301 · outbound

This paper cites Mining for bioactive scaffolds with scaffold networks: improved compound set enrichment from primary screening data.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Mining for bioactive scaffolds with scaffold networks: improved compound set enrichment from primary screening data

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.169377Z digest=sha256:21cf1d5e6e71d00607e2abf6c58a474b1cfafae99b3ebb4994ba00f913eca985

Observation 552dce15-bbce-4a4f-9f12-a50efd9e2a7e · outbound

This paper cites Identification of Bioactive Scaffolds Based on QSAR Models.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Identification of Bioactive Scaffolds Based on QSAR Models

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.174884Z digest=sha256:febeb90c79c504fef957d2ba1151c75917a30693cf2106bf78e5ef5b60606992

Observation 36c72cb6-f7cf-49b1-9b36-3c5369719fd8 · outbound

This paper cites N.; Zhang, J.-H.; Raman, P.; Ertl, P.; Schuffenhauer, A.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning N.; Zhang, J.-H.; Raman, P.; Ertl, P.; Schuffenhauer, A

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.179889Z digest=sha256:8ba4033e8f626cc0396547f2ca9f1106e4444decc785fd32991ad4ebd34d72e6

Observation 3fe11681-7010-4765-8a92-c6b5f483d9eb · outbound

This paper cites J.; Janes, J.; Su, A.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning J.; Janes, J.; Su, A

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.185821Z digest=sha256:93a2acf5339e5d485fa3614e9fc86fb2a3c9a8510caa085d3a5f03fd2ebcdef4

Observation f5fe52e6-330c-4b53-9033-2928a352bc6a · outbound

This paper cites A.; Schuffenhauer, A.; Scheck, M.; Wetzel, S.; Casaulta, M.; Odermatt, A.; Ertl, P.; Waldmann, H.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning A.; Schuffenhauer, A.; Scheck, M.; Wetzel, S.; Casaulta, M.; Odermatt, A.; Ertl, P.; Waldmann, H

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.190920Z digest=sha256:9793b7197ba1e5bab91804cdc65e44e35a607434b1132fb99c406f8113c1eb48

Observation acde0b19-78c1-44c8-b909-4b9fa3f43069 · outbound

This paper cites A.; Waldmann, H.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning A.; Waldmann, H

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.195898Z digest=sha256:c0b77f4609830cf2c9f143124f580ccb450593c5df34217dde89582149e8ae54

Observation 4bfa81e5-7b9b-4672-91c6-7783d9fa7c80 · outbound

This paper cites Scaffold Hunter: a comprehensive visual analytics framework for drug discovery.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Scaffold Hunter: a comprehensive visual analytics framework for drug discovery

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 49945360-e38c-4218-a72e-202304281e5d · outbound

This paper cites Deep learning.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Deep learning

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.205142Z digest=sha256:1a69f23b4e7043eae3ba61a6f47b32ea082cfd269503636c98c525764294ea7b

Observation a4aa361b-e34f-4045-8c95-819c917e8c99 · outbound

This paper cites an unresolved cited work.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Unresolved cited work

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.209747Z digest=sha256:32ec43f170bfd14fc54012c7808711a230d428e7f4dd3267ca1838e94a173cec

Observation 9c37dddf-b0c2-40f6-af64-af88a9a88dac · outbound

This paper cites Computer-based de novo design of drug-like molecules.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Computer-based de novo design of drug-like molecules

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.214383Z digest=sha256:4d4e5f144d8b2144fcd295f6653d2f03592af4bb5f36f2a605fdd86f6db4f9a9

Observation 1dcbb9e0-418b-4694-8ca3-7f2659af701d · outbound

This paper cites an unresolved cited work.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:26:50.939439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.218788Z digest=sha256:accba6d25806dd26be50aceb15ad3da33a66e92d0ba85da8dff773ad790d1034

Observation 46fbc3ef-a0f9-4f7b-9173-4a95fcb6748f · outbound

This paper cites N.; Duvenaud, D.; Hernandez-Lobato, J.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning N.; Duvenaud, D.; Hernandez-Lobato, J

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.223423Z digest=sha256:9f5d57caa53861c0e91ddf0aee7461e5b956cc7ff65e8d931243c113f07d2ffd

Observation 7af2808c-d281-4b43-8a3c-6f2e669a552e · outbound

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

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Molecular de-novo design through deep reinforcement learning

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.227934Z digest=sha256:1d124450d2379474c00f432aa09c5515fbe18b884245248069eecbee2d8e6284

Observation 378395f4-854f-4195-868b-263647d65553 · outbound

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

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning SMILES, a chemical language and information system

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.896448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.232645Z digest=sha256:9c1e789c335aae1528fb35037d08934f2f2bff838ecb8ecd5b6dba8ab1dfb488

Observation 6eda960a-c95c-4fe3-a1f5-70dfbc2a9e28 · outbound

This paper cites Multi-objective de novo drug design with conditional graph generative model.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Multi-objective de novo drug design with conditional graph generative model

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.881317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.237170Z digest=sha256:ce67617e3500069e0e15f323d66bced3534e135d521ffb857a4f4d5251b23830

Observation 20c0a26a-8699-49a7-8637-6181e3f14c83 · outbound

This paper cites Generative Adversarial Nets from a Density Ratio Estimation Perspective.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Generative Adversarial Nets from a Density Ratio Estimation Perspective

Reference 19

Resolution
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local_arxiv, observed 2026-08-14T12:26:50.618326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.241960Z digest=sha256:6a7b5210a2885262a032b258e34a544202ee31a0590a0fb85dd1365b727ab22b

Observation b9648bb4-3c4c-4a24-b76f-a2e6f5d62ff2 · outbound

This paper cites Learning Deep Generative Models of Graphs.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Learning Deep Generative Models of Graphs

Reference 20

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no resolver link, observed 2026-08-14T12:26:50.247346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:26:50.247346Z digest=sha256:113ff5b0d2597ca6d206404aaf77ad4444bc1cd7ce2d782c2b691de3b289079d

Observation 7ba1cd20-826e-4f49-9daf-4c065c182e57 · outbound

This paper cites L.; Leskovec, J.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning L.; Leskovec, J

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.252632Z digest=sha256:373d837568522ce6aa4af92566338b60f9b5d3d0fa3ba0b8be270876ae6517c4

Observation d2c89e71-1dc6-43b3-808b-60d29f69ed59 · outbound

This paper cites Junction Tree Variational Autoencoder for Molecular Graph Generation.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Junction Tree Variational Autoencoder for Molecular Graph Generation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.852326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.257180Z digest=sha256:5b5ea580dc6538215bcd85b3a75c503904c5f41c309eba9b16407eb78bf68d9a

Observation 144c35f1-e0b3-4faf-a307-6592f14212c9 · outbound

This paper cites MolGAN: An implicit generative model for small molecular graphs.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning MolGAN: An implicit generative model for small molecular graphs

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T12:26:50.262302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:26:50.262302Z digest=sha256:4f77722c85d1975b06a739a7929da34943e6f50467cdc050264c41f3b8db883f

Observation 3206e465-7863-41e1-8b77-6d55c6eeb59c · outbound

This paper cites Latent Molecular Optimization for Targeted Therapeutic Design.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Latent Molecular Optimization for Targeted Therapeutic Design

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-14T12:26:50.267425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:26:50.267425Z digest=sha256:9145ca3507793c9a375fd07b4d7ff9dd4779e657ff89885f32dcd0f321b639d0

Observation e2ceb958-66b6-46da-beb7-ff43ad4a8943 · outbound

This paper cites QBMG: quasi-biogenic molecule generator with deep recurrent neural network.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning QBMG: quasi-biogenic molecule generator with deep recurrent neural network

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.837681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.272234Z digest=sha256:42bb54051ec622a8754121f09f5a9c6d5a95874373152b84242d8c4e656c23b5

Observation edd6e24b-ee04-437b-aad4-2f9611df11b9 · outbound

This paper cites Scaffold-based molecular design using graph generative model.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Scaffold-based molecular design using graph generative model

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:26:50.546126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.276625Z digest=sha256:50e2882a48488bd9ec16c1b6c4c814b96a7aec679d53079233a8ab732cf25bef

Observation 38b87644-be85-4e37-b39a-a2255cba1498 · outbound

This paper cites J.; Bento, A.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning J.; Bento, A

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.822796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.281672Z digest=sha256:40fd83b57c9a1e8a21281876c4990988bb2b4c6894c521faffe169621deea632

Observation 36a6a34b-3ff1-4ed7-b872-e39280f9db7e · outbound

This paper cites R.; Paolini, G.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning R.; Paolini, G

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.808450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.286417Z digest=sha256:19efdd002222276d1e9514480fdd3fc7412fdccc320eb3708945580bd4d195f6

Observation fa89c916-54c7-4ede-bbb3-96dec2bfe7ed · outbound

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

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.790664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.290909Z digest=sha256:71d8ea8beec83c82dbef2966f93668dba818bf3749716d913f9ba3a402ec585e

Observation 474e0190-eb09-4a85-8fd1-55c3a9d8acd6 · outbound

This paper cites P.; Welling, M.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning P.; Welling, M

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.774968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.295194Z digest=sha256:81107e9566cf6b33ad63afda472a2646ab0e2aa1a630ea3d837fa41f967704fd

Observation 270db600-2c49-4f0f-b599-36378a66c901 · outbound

This paper cites R.; Vilnis, L.; Vinyals, O.; Dai, A.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning R.; Vilnis, L.; Vinyals, O.; Dai, A

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.760450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.299731Z digest=sha256:4d8c44e5b3c8a461e0d328d0594ed362af184bb58fb77f54503060db4cfb3f80

Observation 650e289a-e4ff-4d92-865c-e486bf156bb0 · outbound

This paper cites beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.745375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.304977Z digest=sha256:6dfb96fb5b7ce4d61514da1013a3c52fe0924d5ea6e9da5398ce252a9b78150f

Observation d4c46460-27a7-4400-9762-c9a76fb18d68 · outbound

This paper cites ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:26:50.524190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.309301Z digest=sha256:7a11cfa6b1ba4b63862f8bf9439dc265cf53b54c768e09db4e9caae56b6626d4

Observation bd87c022-7140-4ee5-8127-e8fb827d516f · outbound

This paper cites Mmd gan: Towards deeper understanding of moment matching network.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Mmd gan: Towards deeper understanding of moment matching network

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.730824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.314635Z digest=sha256:ce379aa79cc9af0fb2c42b29e045d7d0ae705c5041f7f2bbc5b4c8d3a955ee6d

Observation 28e78e2f-3882-4145-839f-1e0183a6d855 · outbound

This paper cites H.; Taylor, G.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning H.; Taylor, G

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.716243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.319778Z digest=sha256:6d0a39d3f79ca0dbd41d05cc0ba9039f11ebfe68f17198b57a896645b649bc9c

Observation 376ff329-e8e1-41da-af89-87526122698a · outbound

This paper cites Wasserstein GAN.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Wasserstein GAN

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.700049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.325389Z digest=sha256:3f2529b0341229bd69b39da58118d4d3313c17cde977697e10e51e0b03187648

Observation 70e25938-7718-40a3-95c7-736a9dcde382 · outbound

This paper cites Frechet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Frechet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.685153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.329932Z digest=sha256:1e28a3afaf2b350a97862496f91c2419147713937f79649de19d91e0d6396e89

Observation beb75164-cb08-44cb-8ce2-dec4244a98cd · outbound

This paper cites an unresolved cited work.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:26:50.668531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.334278Z digest=sha256:ed6515b708807615bd25bd4050d2d720b41284759e5867c6288b71797e3bbd70

Observation a264ab76-cad8-4c7d-8130-2512b535fc36 · outbound

This paper cites an unresolved cited work.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:26:50.651498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.338763Z digest=sha256:3b97e7dafe10f2c3aa824ab1b7110429c77937b5cc27487f935c93e5461ed92f

Observation 3e6122a6-7380-44e6-9b99-9c64f95fa711 · outbound

This paper cites P.; Salimans, T.; Duan, Y.; Dhariwal, P.; Schulman, J.; Sutskever, I.; Abbeel, P.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning P.; Salimans, T.; Duan, Y.; Dhariwal, P.; Schulman, J.; Sutskever, I.; Abbeel, P

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:50.634785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T12:26:50.343511Z digest=sha256:dd0fc894648261b2c4421ac93df6cd9f755d0c69c7aeb7f84985449a595b8006

Observation 08ec85fd-18bd-41d6-9531-45df1d28a9e0 · outbound

This paper cites 6DTpDQ 2(C.

DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning 6DTpDQ 2(C

Reference 41

Resolution
malformed identifier
no resolver link, observed 2026-08-14T12:26:50.347920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:26:50.347920Z digest=sha256:7574aaa29250959c3bb69156a8825d90a082dd3dfdfe60bd548721e50a5a3322

Pith citing papers

No inbound Pith citation observations are available.