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Paper Citation Record · LEDGER

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design

As of 6 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2409.09183.

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

pith.paper-citation-record.v1
2409.09183 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T20:30:04.338912Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

43 of 43 outbound references displayed

  • verified exact8
  • verified fuzzy14
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc7bc9c3-fd1a-4f0a-a67a-2543ed3601ee · outbound

This paper cites " * write output.state after.block = add.period write newline.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design " * write output.state after.block = add.period write newline

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.633585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:feb70872b6ec30d1d24dfef8e6966274d2690c6abd586516094161157ecb4d04

Observation 919ed7c0-841c-43a3-893f-a09dbb8704b3 · outbound

This paper cites write newline.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design write newline

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.629523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:5e74dc585aaeca5cdb72668724111a2203946c4ff2cea5e12fe3f089648f87b2

Observation 40d1d649-2e01-4eb3-a2ca-33a439a35049 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:38:26.536841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:4acd159d47fb1a5952c8ce26980870123212e37f60ae5f873a93c90e3feaf2c5

Observation 018a0f99-0666-453a-8521-a939a082595a · outbound

This paper cites J.; Lahlou, S.; Tiwari, M.; and Bengio, E.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design J.; Lahlou, S.; Tiwari, M.; and Bengio, E

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:33:25.783055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:f6292de5799b3d4989d79a487323e2289faea6ddfc758ac475e38c7f4560bd34

Observation f70ee393-389c-4226-b4fa-73be9316e7aa · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.625939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:483fe2de2c897fd17f6aa47a7800b4aaa88a191e72f4af6462d87a384ab7c91f

Observation 1e7d0ad3-f548-409e-9fd3-8dcbc9161d6a · outbound

This paper cites S.; McMartin, C.; and Guida, W.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design S.; McMartin, C.; and Guida, W

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:38:26.533761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:add4a2c89614dd7856f2f1926d346215cb0984cf0ea45a27288f7ce2f41ddcf5

Observation 4c5e38ce-13cf-4a15-8810-f12141980ac6 · outbound

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

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design MolGAN: An implicit generative model for small molecular graphs

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:33:25.792748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:75af727c3a60f5ac1e2f4bf17b40334cea81a86fc9bb38bd7eaa8a150dd2cccc

Observation 455198cf-e5cd-4461-9731-567eb1e542e2 · outbound

This paper cites P.; Yu, G.; Herrington, D.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design P.; Yu, G.; Herrington, D

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.640218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:44d10cf539d8e8fc5fc03b65ad9929d5ed71c465b048c99daa04184589ab7c59

Observation def340d2-a872-4d8b-be59-58e2187b84c7 · outbound

This paper cites TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:33:25.779004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:6e8a7caa8046e12ff093bb8dad1cfe6f87ff73047faad1f8013b154a6df3679b

Observation 3107252f-edf6-4dc0-9a4e-bfae90e3bbf4 · outbound

This paper cites E.; Herrington, D.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design E.; Herrington, D

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:38:26.530369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:7ea03ca0799b18b4d9bde3d969510314e32c65be9dc771e8252c05269a4dd8ec

Observation 59ca6fe5-3bcf-4264-a310-7e102309bd6f · outbound

This paper cites Uncertainty Quantification on Clinical Trial Outcome Prediction.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Uncertainty Quantification on Clinical Trial Outcome Prediction

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:33:25.824103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:1ac635e7b0724c125d3adc54332966fe363f4d4ccfd5c455222f69e0cc00e6d5

Observation 52c7f655-dd74-4280-937d-1d46f79bcfdb · outbound

This paper cites V.; Chen, J.; and Fu, T.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design V.; Chen, J.; and Fu, T

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:38:26.527078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:20d69045c45765535230192ce3af651978ffd633787e35a7c63d65c2016c4c5f

Observation e5b9029a-0e61-4cdf-b654-aebced8bd1ec · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:38:26.523946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:f91b3fcc34281dc4eaf42bc5e2feed7e92865a3f78970d58e565ec50bbc74ea1

Observation 62c92076-443c-4656-9ff7-554d928772cc · outbound

This paper cites W.; and Sun, J.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design W.; and Sun, J

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:38:26.521064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:ddee90d87faa04b49b2cf1cb801eae403d9180cd416deb1f5b16a3d4121cec44

Observation 43e936c5-d976-4aa1-8dad-7ef6fc5ab166 · outbound

This paper cites W.; and Sun, J.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design W.; and Sun, J

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.662373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:3a1c1b0bd8f14b0f87160f4599fea366d2d384e92dd6a45d3f3d7d3f498eae3a

Observation 52064b57-6fc8-4d2f-88d9-fedf92a74f8c · outbound

This paper cites M.; and Sun, J.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design M.; and Sun, J

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:38:26.517984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:f9b70bf16cad1de61dfcccd11bda5b32a477a773948594fd9763c87a363fc4bd

Observation 9eac8277-8c64-47e1-8d12-5599ef8feb77 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:38:26.514712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:11d792d4c93b8b9d58367f4c37642040aa3405969a604aefd04a2cb642da4292

Observation b0ffffbe-fba6-498c-aaab-eea40fc67dd5 · outbound

This paper cites Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:33:25.788164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:ecb9803297b51d5ec8ca176333cbdcedcde342b997e16be1c85e69c20dbd4fa0

Observation 67e3261c-dd09-4e40-9dac-281645ce0554 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:38:26.511410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:bf158c72a0b407d4b82d9d47454fef805beb097cb613bd2237ec18907773e718

Observation 8ea0a397-aa21-4612-8f93-2d0a750281c1 · outbound

This paper cites M.; Fu, T.; Xiao, C.; and Sun, J.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design M.; Fu, T.; Xiao, C.; and Sun, J

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:38:26.508079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:ee1d1360c658aa2def680d21c31a05e300c192a583aefe20b2d3dd37d77e7f5e

Observation 81845041-6e4c-4835-a40f-d846b75c8210 · outbound

This paper cites N.; Duvenaud, D.; Hern \'a ndez-Lobato, J.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design N.; Duvenaud, D.; Hern \'a ndez-Lobato, J

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:38:26.504447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:9e83abef9bae88d4e8e79bfaacf0e5d2a17454d2ecaea86b5e1bfc798ca51572

Observation 87c211ba-9148-44a8-ba02-a5d3c4b27096 · outbound

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

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T20:33:25.812640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:3adf46f87cfaa4f16438b56536e7ba561caf4d47554cb0534168a29628df7a76

Observation 4aec4e82-c72c-45e7-933e-1b1aebdfde20 · outbound

This paper cites Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T20:33:25.774367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:30f81ff058ee66f3eb1af04dcb1bad8057bb79d4e619795d945a02012049e137

Observation fd8e3fe1-8236-45ea-86ce-9457fdc9bfb4 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:38:26.500671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:dfb304b8ade8e1d64926e6e0bcada133bc5d3d2d4b0058fb06ba104fc63d09fb

Observation 3dfb7631-553e-4931-922b-e5d4bf538c54 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:38:26.497578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:d31cbcc8bc4509c2165a6d8fce13ac775b4c0ebdee90c27bd44ad0dab7eefd59

Observation 30f99c81-1a21-4e36-b165-860d92c5bd8e · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.653008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:6f8bf89b558ade3c3ee1a824fa5fe61a65baf9db1affc40a8c308cfc846f484a

Observation f343bc04-eff3-4944-beea-cb5dfdf78be3 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:38:26.494067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:91b5c1f480dcd44f2200783285f39d31d02e0e68cd1a77951bf2ec23e1627e1a

Observation b0608a09-38ea-464a-b523-43e63a261be4 · outbound

This paper cites Multi-Objective De Novo Drug Design with Conditional Graph Generative Model.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Multi-Objective De Novo Drug Design with Conditional Graph Generative Model

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:33:25.804967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:7ba911afdaa65eab5868131a64f570d6c33a6a3b747b9abbecfcb339d5c48fa4

Observation 48150dd4-ac2d-4b3c-8058-7099cc7d4d34 · outbound

This paper cites GraphEBM: Molecular Graph Generation with Energy-Based Models.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design GraphEBM: Molecular Graph Generation with Energy-Based Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:33:25.819085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:8602336612ee3643f1316bfbc01dbe33437badcc001c07407b54fb8979aef2b6

Observation 512c51df-3ac2-49e9-9791-98729ef22c0b · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.683975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:b78cee7f5742588d4dbbd747dd69d9f1eb77847b3d95cfe21dbefe17f89c6acf

Observation 811f5007-aa7a-4137-bb24-977abf382fa1 · outbound

This paper cites J.; Cheng, Z.; Saylor, G.; Van Eyk, J.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design J.; Cheng, Z.; Saylor, G.; Van Eyk, J

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.680345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:9a0bda297630ef371772dd740d788584fb4bd333d03ec45180b31d60363af2b0

Observation 6140e053-9420-466f-afd4-4814cefd5ccd · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.676875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:68d5a1bb85148b0c7579d66bc6235f008a3dafeba52aa778757760ce24260f1e

Observation c6420920-8617-4e61-8fd0-63beaef7857b · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.673658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:a6e48ebb598326c366c603bebda5fdd6e9c3e89f0ee78552a6586f3b639233fc

Observation e05419d8-90e2-4dc1-a2eb-e259cf4e6eb0 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.670615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:f7aecc76a8bbe2b022bad2b9acac9c45a9ab470f7fd47b00b0ddb0cfe17a1e1a

Observation 5f9f674a-efe6-4ca3-9d74-d3019016fe4e · outbound

This paper cites Molecular De Novo Design through Deep Reinforcement Learning.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Molecular De Novo Design through Deep Reinforcement Learning

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:33:25.799036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:b63784474407a94661efe42439f730a5e5d294f75f067249da446f074c54a5db

Observation 0ab2ccaf-b73c-4ec7-ae39-aa92d0708f00 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.667306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:d14d1c4b9dfb3f02a63d6a5562d0e66ddbb4613c8ee186cecb49c2ced446537b

Observation 8ffc5017-b76c-4630-9b08-ffd065befccd · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.663971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:6c4f21dfc9af135b87cfa448f6da84d9dd9f094a4b45b902242b7ac544acd458

Observation 53f02bfd-85b3-4a16-a32a-ab8a64a5e2cf · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.660180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:5f89b1595e8d3d8e1a0efc302070287f1e50eccaaa1dbfba0067e4938599781b

Observation 4e40f977-07f9-4697-8155-6251473ca570 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.656958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:7cff64cdde6ee27c733f005c5259c9824c3cd3cac9d25d72cc7232988866c18b

Observation 524269f6-8924-4936-8a70-13b285ae39d5 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.654035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:d8b8962cbaa44702195ee47dbc66014383d6e6a085c9b1540af91a558ffa6fff

Observation 4d022de1-df1b-4dbf-be0d-dff7e44f0e31 · outbound

This paper cites J.; Lu, Y.; Van Eyk, J.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design J.; Lu, Y.; Van Eyk, J

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.665448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:4926e36ee114e323e3c4edbc01929257e700bd8a5eeed3aba4cbcb5313931cba

Observation 2ff3abd9-c35a-45da-9439-904f2f3b0ba4 · outbound

This paper cites an unresolved cited work.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-05-23T20:35:49.650136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:d9b2b278d307bdd5c150461fad494cb7564c946f3ff670299c2fca4aa176233e

Observation 6b2fe68b-73e1-49b6-bc4c-b1c73591c380 · outbound

This paper cites N.; and Riley, P.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design N.; and Riley, P

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.659466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:cedab81c40f1eb1aeaf1e7e91c41285c25eaca4e8c2166305786287e6c44e859

Pith citing papers

No inbound Pith citation observations are available.