Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T19:24:59.180810Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1907.08333.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T19:24:59.180810Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
24 of 24 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4745e248-61a0-46e6-bbd0-6d8e31299cab · outbound
Toxicity Prediction by Multimodal Deep Learning SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0fd7e256-3a12-43c2-8d39-921d30b12738 · outbound
Toxicity Prediction by Multimodal Deep Learning Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29fabf07-e0ff-47dd-8169-74fa2433dc34 · outbound
Toxicity Prediction by Multimodal Deep Learning The handbook of brain theory and neural networks 2, 110–125 (2002)
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 36d4883b-d47e-4dc0-947f-ac6302aa9be9 · outbound
Toxicity Prediction by Multimodal Deep Learning In: Methods in cell biology, vol
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1cb6ab09-e20c-4b20-8ec4-410fcf2f22d9 · outbound
Toxicity Prediction by Multimodal Deep Learning In: Workshop track, International Conference on Learning Representations (2018) 10 Abdul Karim et al
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fd7c9def-d945-49f1-b05d-70a67407408e · outbound
Toxicity Prediction by Multimodal Deep Learning Unresolved cited work
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 615041b6-b086-4eb7-b64c-8773279afa5f · outbound
Toxicity Prediction by Multimodal Deep Learning Unresolved cited work
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d25d0df8-43e1-443c-b3e4-d7f431b6be47 · outbound
Toxicity Prediction by Multimodal Deep Learning Elsevier (2012)
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ec81039c-a347-4642-abdd-c83f5d156a8f · outbound
Toxicity Prediction by Multimodal Deep Learning Neural computation 9(8), 1735–1780 (1997)
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 87877661-0853-4b31-9591-8f441c554a57 · outbound
Toxicity Prediction by Multimodal Deep Learning ACS Omega4(1), 1874–1888 (2019)
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 96c7c6b2-3a17-4f09-9584-7ce6be3f2ed7 · outbound
Toxicity Prediction by Multimodal Deep Learning In: 2016 International Conference On Advanced Informatics: Concepts, Theory And Application (ICAICTA)
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 155e0782-1903-4163-be3d-72d5a94f33e9 · outbound
Toxicity Prediction by Multimodal Deep Learning Adam: A Method for Stochastic Optimization
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cb9f77ef-ba8a-4f1e-b10d-c519c542c81c · outbound
Toxicity Prediction by Multimodal Deep Learning Release1, 1–79 (2013)
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a1bcacb2-d99c-49dc-a8ef-8b6da3c8bfc9 · outbound
Toxicity Prediction by Multimodal Deep Learning Expert opinion on drug discovery11(3), 225–239 (2016)
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2cd17e36-19c1-45b9-b8e5-d1b706b9518f · outbound
Toxicity Prediction by Multimodal Deep Learning Journal of medicinal chemistry13(6), 1192–1196 (1970)
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c246df1b-5d65-44ba-ac01-81c0eba9d15a · outbound
Toxicity Prediction by Multimodal Deep Learning Efficient Estimation of Word Representations in Vector Space
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation accfd335-5d9a-4453-ad9e-2c340c82fc36 · outbound
Toxicity Prediction by Multimodal Deep Learning Neural networks 61, 85–117 (2015)
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e73867e2-5fd8-43a4-be02-10503ef8553b · outbound
Toxicity Prediction by Multimodal Deep Learning In: Proceedings of the IEEE conference on computer vision and pattern recognition
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 88a85071-39ab-480c-800e-e07b42615ea2 · outbound
Toxicity Prediction by Multimodal Deep Learning Unresolved cited work
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation be133a64-4a16-4132-9918-9c28060aae23 · outbound
Toxicity Prediction by Multimodal Deep Learning Journal of chemical information and modeling58(2), 520–531 (2018)
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2e67d92e-3e0e-4b89-bbbb-7f025e76d300 · outbound
Toxicity Prediction by Multimodal Deep Learning Chemical science 9(2), 513–530 (2018)
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation deeeb232-3252-4fc3-93df-ba805698e65e · outbound
Toxicity Prediction by Multimodal Deep Learning Bioinformatics (2018)
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bd84560b-ae89-4633-83f9-85f2d9f9a694 · outbound
Toxicity Prediction by Multimodal Deep Learning Journal of computational chemistry32(7), 1466–1474 (2011)
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6abc5d19-65fa-40ce-8e39-ef3bb6c9dcad · outbound
Toxicity Prediction by Multimodal Deep Learning Journal of chemical information and modeling 48(4), 766–784 (2008)
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
No inbound Pith citation observations are available.