Paper Citation Record · LEDGER

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2103.09430.

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

pith.paper-citation-record.v1
2103.09430 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:17:16.797964Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T20:08:56.289279Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 53bfae05-aa51-45ea-bdd4-079b336a55d9 · inbound

Pretraining a Foundation Model for Small-Molecule Natural Products cites this paper.

Pretraining a Foundation Model for Small-Molecule Natural Products OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:35:13.393908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 969ea932-fe5d-4edc-a647-5e563b5bedb6 · inbound

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions cites this paper.

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:17:16.797964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f2137dc-44f2-4be6-834c-977d2dbd385d · inbound

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction cites this paper.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:58.909465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf4d4fdf-dd8e-46e6-ad55-c5337c34118b · inbound

A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic Potentials cites this paper.

A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic Potentials OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T21:57:40.414127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c1e866-e03a-48a0-8e66-e27a4bb5c682 · inbound

MolVision: Molecular Property Prediction with Vision Language Models cites this paper.

MolVision: Molecular Property Prediction with Vision Language Models OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:29.266556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84660675-7b4b-4f5c-82f4-da2d19e23c2c · inbound

OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning cites this paper.

OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:18.119583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2289f3dc-4327-4629-9c15-e5f5d7df9f68 · inbound

Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining cites this paper.

Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:54:11.019454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d16b9fc7-9d0b-42b7-84fc-b3c6dec83aa0 · inbound

DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation cites this paper.

DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:07:39.218162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45ba559b-e4e0-4933-aeba-955d377c3ee7 · inbound

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation cites this paper.

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:31:39.334412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02100fa2-e1b0-48c1-9707-76a92d547dd5 · inbound

DSBD: Dual-Aligned Structural Basis Distillation for Graph Domain Adaptation cites this paper.

DSBD: Dual-Aligned Structural Basis Distillation for Graph Domain Adaptation OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:38:10.575175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 16492a57-cb39-4713-8ce6-791696d86da2 · inbound

The limits of bio-molecular modeling with large language models : a cross-scale evaluation cites this paper.

The limits of bio-molecular modeling with large language models : a cross-scale evaluation OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:13:13.928552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 519f41a3-8783-44a0-84eb-f15a09f79486 · inbound

Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductor Discovery cites this paper.

Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductor Discovery OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:11:16.860435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1992e74c-e9a9-4310-9850-a59dc915435d · inbound

Fused Gromov-Wasserstein Distance with Feature Selection cites this paper.

Fused Gromov-Wasserstein Distance with Feature Selection OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:42:20.934836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3948587-6392-4ac9-84a6-56939f017505 · inbound

Leveraging Graph Structure in Seq2Seq Models for Knowledge Graph Link Prediction cites this paper.

Leveraging Graph Structure in Seq2Seq Models for Knowledge Graph Link Prediction OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:48:13.026174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0bdc422c-da31-4760-a9eb-ce5af8738856 · inbound

Graph Hierarchical Recurrence for Long-Range Generalization cites this paper.

Graph Hierarchical Recurrence for Long-Range Generalization OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:08:17.752903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dd9901d4-859e-4e70-9249-7ab60f155ebf · inbound

Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation cites this paper.

Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:22:34.292402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 18807322-841a-4119-9043-f23448b98419 · inbound

GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond cites this paper.

GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:06:26.655637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ce6f685a-7801-4a9d-a932-b4d9ebeba6db · inbound

GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs cites this paper.

GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:08:03.224018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f846af2-dfb6-45c1-b32a-2860e0804772 · inbound

Handling Feature Heterogeneity with Learnable Graph Patches cites this paper.

Handling Feature Heterogeneity with Learnable Graph Patches OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:08:56.291862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 152dbf20-e656-4a9f-a78e-5b5619d9106e · inbound

Cross-Resolution Semantic Learning for Graph Domain Adaptation cites this paper.

Cross-Resolution Semantic Learning for Graph Domain Adaptation OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-03T08:31:24.031275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.