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Paper Citation Record · LEDGER

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2203.04810.

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

pith.paper-citation-record.v1
2203.04810 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:19.140722Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:06:55.900952Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 6c0fee69-4d50-4252-b071-e72f09b18174 · inbound

MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures cites this paper.

MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:13:39.658517Z

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.

source=pdf_text observed=2026-05-17T00:13:39.542709Z digest=sha256:de780c2cbd2b5263ac20f101090e108e7640b7727b918d82ce19ca7655a055b9

Observation d7f104be-5977-45bc-a2fc-6b997e468670 · inbound

Synergistic Benefits of Joint Molecule Generation and Property Prediction cites this paper.

Synergistic Benefits of Joint Molecule Generation and Property Prediction Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:46:53.659262Z

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.

source=pdf_text observed=2026-05-22T17:45:35.968422Z digest=sha256:43328152b145469e62a4b7c04e77fd6c02bc59ecae686ddefa64250cc54ee2a1

Observation 083e14fc-d6be-4f00-914c-f9567714a423 · inbound

Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training cites this paper.

Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:19.140722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:19.140722Z digest=sha256:33a26cea99bb8370c6d61f6fee98976521e2a09587fd3671b8dfe047c38497d3

Observation 7b79044d-7952-45ac-a44d-e61dfd59b695 · inbound

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames cites this paper.

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T07:22:16.481011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:22:16.481011Z digest=sha256:1333dbd707abb0b54d62e0747fbf94979eddf907c5bb1dc0fd8c90d16e572f7d

Observation b4e50095-5f71-46e5-ab3e-514792a379d9 · inbound

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era cites this paper.

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:43:01.491145Z

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.

source=pdf_text observed=2026-05-10T08:40:51.408244Z digest=sha256:de2132114d98db6ece5231d51ea2f553f2af77ca7cd54f503f49cdce06113f9d

Observation d5f027e0-34ea-49f7-8613-f4d04d2af2b2 · inbound

Quotient-Space Diffusion Models cites this paper.

Quotient-Space Diffusion Models Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:16:30.399034Z

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.

source=arxiv_source observed=2026-05-09T22:05:39.486930Z digest=sha256:46c7d6621cf0b809a7a5173ac596b1ca65dc655b9e45ebf42317c9022ded27cf

Observation 66d7f568-36a3-42b2-98be-6aa8f96cd839 · inbound

Reactive Flux Matching: Mechanism Discovery and Adaptive Sampling of Rare Events cites this paper.

Reactive Flux Matching: Mechanism Discovery and Adaptive Sampling of Rare Events Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:06:55.902529Z

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.

source=pdf_text observed=2026-06-28T02:30:57.067932Z digest=sha256:6a1c85d439dbfc3d1d0b14d05894227175351f0939a7447bc83aec70e5f2f826

Observation 17574bc5-3796-4fa5-8ab3-f817a1126f30 · inbound

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization cites this paper.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-14T14:06:35.756620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:06:35.756620Z digest=sha256:4fec806a787798f0c9787729631b60fe32c7b508c03414f797b830015360e971