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Paper Citation Record · LEDGER

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.03430.

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

pith.paper-citation-record.v1
2507.03430 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:14:25.926925Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52d3ce10-266a-46af-b55c-6ab582a3cd85 · outbound

This paper cites L.; Kahlous, N.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction L.; Kahlous, N

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:26.743066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:14:25.115824Z digest=sha256:64b6b833672df1fbef2d42ee6309dfb4b1ec6086fd05155e49200b3fe3c5be1e

Observation 7e6e3745-ab5f-4e91-841b-e971f5614304 · outbound

This paper cites FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction.Briefings in bioinformatics 2022, 23, bbac408.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction.Briefings in bioinformatics 2022, 23, bbac408

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:26.256738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:14:25.690372Z digest=sha256:79aa27d9a62462c9e93045afabc52dcb2c081b9d4be80f29f7e8c8055fdf9ca0

Observation b676d7da-416c-4a80-a4b6-828fe1864e6e · outbound

This paper cites an unresolved cited work.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:14:26.612301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:14:25.193410Z digest=sha256:6e5e011b0390445ff3e3294ccc00ccb6447dfb1992293c473ddde1bebf090c32

Observation 30cb8398-ef90-4936-8047-767dfa0129f5 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction How Powerful are Graph Neural Networks?

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T20:14:25.385556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:14:25.385556Z digest=sha256:954478b3ce1901d8646ba8f9501de4485b91eb2d5ddfa90a48171e80a6a23c2c

Observation 95788a32-99f1-4783-9b08-ca30547bffd2 · outbound

This paper cites Molecule Attention Transformer.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction Molecule Attention Transformer

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T20:14:25.605111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:14:25.605111Z digest=sha256:193dbe5a97a45fb1a8185d3b4aa9afee70d967c47875af928a0a431ce7a1c098

Observation 5fe0ce0d-b8c5-41f1-9fa0-25610fe72e20 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction Adam: A Method for Stochastic Optimization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T20:14:25.926925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:14:25.926925Z digest=sha256:fe731ef384199c74eb119c138b244210f32724e27a68c5340e78678e32fab8ae

Observation aded8c3f-5e94-49dd-8c64-50dc6a49d247 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction Semi-Supervised Classification with Graph Convolutional Networks

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T20:14:25.335705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:14:25.335705Z digest=sha256:c1bb95622a342bc3b2c1d3d9c2406e12a8a8c4d3b75091b261b547b479ebd359

Observation 546200f7-e929-425f-87d4-1b9ac7d0aabb · outbound

This paper cites How Attentive are Graph Attention Networks?.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction How Attentive are Graph Attention Networks?

Reference 287

Resolution
unresolved
no resolver link, observed 2026-08-06T20:14:25.532575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:14:25.532575Z digest=sha256:e2042e159ca594a460d7cead4100e040717dd5b4bcf2a4a05de4bf3578418969

Observation 889839f9-ef54-4e06-bba0-ba4ab3de89c9 · outbound

This paper cites (11) Li, B.; Su, S.; Zhu, C.; Lin, J.; Hu, X.; Su, L.; Yu, Z.; Liao, K.; Chen, H.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction (11) Li, B.; Su, S.; Zhu, C.; Lin, J.; Hu, X.; Su, L.; Yu, Z.; Liao, K.; Chen, H

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:26.502055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:14:25.261041Z digest=sha256:471705063ce5cf6aefc4cd2cfbe3dcd3476ebf49ee4c2283477caf26ecc9fa41

Observation f6a1b980-89a3-4f7d-8625-4ccb976200de · outbound

This paper cites (43) Ma, H.; Bian, Y.; Rong, Y.; Huang, W.; Xu, T.; Xie, W.; Ye, G.; Huang, J.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction (43) Ma, H.; Bian, Y.; Rong, Y.; Huang, W.; Xu, T.; Xie, W.; Ye, G.; Huang, J

Reference 3388

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:26.128059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:14:25.850500Z digest=sha256:7d421a684592594a9737ef188dac9950da435bfbfa9255e0357ad7f979f9367f

Observation d4bd7f6c-d2f2-4a89-ad4d-b1d880001cb1 · outbound

This paper cites A pre-trained multi-representation fusion network for molecular property prediction.Information Fusion 2024, 103, 102092.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction A pre-trained multi-representation fusion network for molecular property prediction.Information Fusion 2024, 103, 102092

Reference 4382

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:26.369323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:14:25.460598Z digest=sha256:b8013f906f77f432537b1110561e58740e5f87050c671080be05574445cec1b1

Observation 64f065d1-eac8-4a21-a414-23953681f6cf · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 8760

Resolution
unresolved
no resolver link, observed 2026-08-06T20:14:25.779126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:14:25.779126Z digest=sha256:96ac97af881373dcbe692dd705e385c260e43807e98b3e6625e2aad505725dd0

Pith citing papers

No inbound Pith citation observations are available.