Pith. sign in

Paper Citation Record · LEDGER

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs

As of 16 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:1908.08612.

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

pith.paper-citation-record.v1
1908.08612 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:37:52.149449Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

15 of 15 outbound references displayed

  • verified exact3
  • verified fuzzy10
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6dbf6e57-6931-4d26-a700-56f1b933ad6e · outbound

This paper cites Probabilistic Generative Deep Learning for Molecular Design.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Probabilistic Generative Deep Learning for Molecular Design

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:37:52.242575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.088844Z digest=sha256:33838ce33bfff5c766c000e5d4360e03242f67d5d399acb6ce04bec601e8b164

Observation 371455c4-f51c-4654-a522-9349fc0641ef · outbound

This paper cites Tiered Latent Representations and Latent Spaces for Molecular Graphs.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Tiered Latent Representations and Latent Spaces for Molecular Graphs

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:37:52.220238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.093459Z digest=sha256:de3d3c994e6d23ae7818f982ff37b00aefe61a1d4263a0afeb1070c9916acb82

Observation cd8caab1-a948-43eb-9370-44f826aa64b1 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric,.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Fast Graph Representation Learning with PyTorch Geometric,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:52.386785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.097788Z digest=sha256:d38565441385bfa68343bd599397c08256ea9971fe9f0ae221b336643d6161b8

Observation 9f91f224-3305-4ac5-8afa-a9559f677bdb · outbound

This paper cites Neural Message Passing for Quantum Chemistry,.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Neural Message Passing for Quantum Chemistry,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:52.373915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.108893Z digest=sha256:59d87524a9df3906d3eba451be090ee90d6fefc61f4e1ec2676abdc62b2e373c

Observation e764764f-b202-468d-89d0-a983ebfa1e9c · outbound

This paper cites Hierarchical Graph Representation Learning with Differentiable Pooling,.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Hierarchical Graph Representation Learning with Differentiable Pooling,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:52.359913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.113114Z digest=sha256:6a0f72e796922c4171ce4f9bd541c3d102638d0d46bee167d5f23d33ac2253b2

Observation 73c4a60f-72a5-4336-8cfb-d15d3e948bcc · outbound

This paper cites Variational Graph Auto-Encoders.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Variational Graph Auto-Encoders

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T11:37:52.117357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:52.117357Z digest=sha256:e4986b298c74e06ec5a7da2653d94cb015846b816d3505fa0122f2709988ceef

Observation e3856fc4-1b99-4d1f-b6d7-55c8dfadbee5 · outbound

This paper cites Semi-supervised Classification with Graph Convolutional Networks,.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Semi-supervised Classification with Graph Convolutional Networks,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:52.348134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.121991Z digest=sha256:056a6de7af87525095508cfada32a81c6c5cedf1685705424a1432ad99a38ee2

Observation 6dd3427b-e4a6-4169-8088-a8d83fe4fa34 · outbound

This paper cites Concept-Oriented Deep Learning: Generative Concept Representations.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Concept-Oriented Deep Learning: Generative Concept Representations

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:37:52.185440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.126026Z digest=sha256:4bce8a5ad0733db92efad02eaf8333e8133652ee21f6dfdaa43d9b3daf6605a8

Observation 0ce62a37-d78a-4c69-8fc5-645d27f19587 · outbound

This paper cites PubChem Substance and Compound Databases,.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs PubChem Substance and Compound Databases,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:52.337081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.130052Z digest=sha256:d3a26a60ab3b40b738dda3105b2cc6260df6929e9e417b055cd6094c877d5e8e

Observation 37c56a78-7a5d-4676-b9af-97f7de1b98af · outbound

This paper cites PubChem 2019 Update: Improved Access to Chemical Data,.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs PubChem 2019 Update: Improved Access to Chemical Data,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:52.324876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.133795Z digest=sha256:70be50b3b4628031cf630bda869c03451efc79087559c0e1bb26bfa20dc0a828

Observation 7c0ebb1c-5f5d-4177-96f3-3b0f003c7e2e · outbound

This paper cites PubChem Chemical Structure Standardization,.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs PubChem Chemical Structure Standardization,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:52.307331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.137287Z digest=sha256:7c237f15d51638346524bbb77b1937ec8ce2b2885191d04fc63445e390cd6a58

Observation 827f2be6-7e32-47b1-91ca-b06dee199138 · outbound

This paper cites Unique Identifiers for Small Molecules Enable Rigorous Labeling of Their Atoms,.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Unique Identifiers for Small Molecules Enable Rigorous Labeling of Their Atoms,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:52.293436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.140240Z digest=sha256:a7267d0d87cf53fbe3883ce467bc0b082d343a247424e710fe3a19795adb0bb5

Observation 2d219281-8c96-4228-ab22-a175aac4e36b · outbound

This paper cites an unresolved cited work.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:37:52.281885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.143341Z digest=sha256:da6246f32d1c4ab78f2e850cdafd7d52d92e8b82ad33218866b92002843f42d8

Observation 95eb910c-fb99-4d6d-bb70-c3ce2a15efad · outbound

This paper cites Landrum, RDKit Documentation Release 2019.09.1 (2019).

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Landrum, RDKit Documentation Release 2019.09.1 (2019)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:52.270663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.146392Z digest=sha256:1aed9b560b99c58c746c0a8eb8ea6e581321b1a24546c78758e36f50668b1c4b

Observation 96f6dee6-a22a-4f29-b39e-14cdc10c50b2 · outbound

This paper cites An Algorithm to Identify Functional Groups in Organic Molecules,.

Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs An Algorithm to Identify Functional Groups in Organic Molecules,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:52.256047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:37:52.149449Z digest=sha256:0cc408bca232fd133f18c659cf762a17b3ccb6d4dab74cc86ca0edef1ed991b2

Pith citing papers

No inbound Pith citation observations are available.