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Paper Citation Record · LEDGER

Pre-training Molecular Graph Representation with 3D Geometry

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2110.07728.

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

pith.paper-citation-record.v1
2110.07728 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:58:53.427955Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • metadata mismatch0

External citation measurements

154
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e6dd11ad-bc06-47ef-92ce-223c7614d84d · inbound

FARM: Enhancing Molecular Representations with Functional Group Awareness cites this paper.

FARM: Enhancing Molecular Representations with Functional Group Awareness Pre-training Molecular Graph Representation with 3D Geometry

Reference 18

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verified exact
arxiv_id, observed 2026-05-23T19:53:23.420390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T19:48:45.227057Z digest=sha256:cb55eeba65d209e74097ca3b91afaa28a38aa6bcfda7e3fa7656d74c2ad00c31

Observation be45c2c9-b502-43c6-bdbe-68d91dd1bf8a · inbound

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision cites this paper.

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision Pre-training Molecular Graph Representation with 3D Geometry

Reference 2023

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unresolved
no resolver link, observed 2026-08-11T20:39:37.216958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:39:37.216958Z digest=sha256:8f2d18f42d06011d8930e5e29bce377584c0e9cc4cebc3e2eea1b81803a07ed0

Observation 8f9c6fd4-8105-4b9a-aadd-6a5a19d6e4b4 · inbound

Graph Generative Pre-trained Transformer cites this paper.

Graph Generative Pre-trained Transformer Pre-training Molecular Graph Representation with 3D Geometry

Reference 22

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unresolved
no resolver link, observed 2026-08-10T22:40:48.774312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:40:48.774312Z digest=sha256:e10919e3b6ac2e3fb7e040e3d6a8f7869082d529081da94537bccdc19690d144

Observation 06e93f25-1a1b-44a4-b338-82725267c270 · inbound

Dual-Modality Representation Learning for Molecular Property Prediction cites this paper.

Dual-Modality Representation Learning for Molecular Property Prediction Pre-training Molecular Graph Representation with 3D Geometry

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T20:59:07.447646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:59:07.447646Z digest=sha256:1865b60758e617e8c80f266a2e7a22fed614baacfbddd4f4379355302cca08a5

Observation 8241c26b-ac26-461f-b11f-9704b3dc9f6c · inbound

Computational Protein Science in the Era of Large Language Models (LLMs) cites this paper.

Computational Protein Science in the Era of Large Language Models (LLMs) Pre-training Molecular Graph Representation with 3D Geometry

Reference 200

Resolution
unresolved
no resolver link, observed 2026-08-10T19:19:28.391934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:19:28.391934Z digest=sha256:1165629460191aff1605d79f882329c554b77787ef209a0ee84f74d54120ad9e

Observation 83fec895-8b63-446d-9f28-a9218b7f743b · inbound

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models cites this paper.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Pre-training Molecular Graph Representation with 3D Geometry

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T16:17:32.069518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:17:32.069518Z digest=sha256:bb4e3fb2514b1eeb3441884061ff62085ad30a15061f26f4bb04505190b6e2b0

Observation d13df6cf-0c28-4992-a924-1a1c70c70342 · inbound

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

Pretraining a Foundation Model for Small-Molecule Natural Products Pre-training Molecular Graph Representation with 3D Geometry

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T23:35:13.411757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T23:33:56.769401Z digest=sha256:93e678f4b605757ed0d3148520f83168918e2361dc2317bf6abd1071f5786420

Observation 49af4bc3-4ac9-48b0-9d65-3445a326f584 · inbound

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

Synergistic Benefits of Joint Molecule Generation and Property Prediction Pre-training Molecular Graph Representation with 3D Geometry

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:46:53.669352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T17:45:35.968422Z digest=sha256:f5dac746c77d26e21f484133838ecf42c5dac6571e9b6973cb72c30f11c5ed53

Observation bfb74883-fadc-43e3-9e45-757750f352ae · inbound

Multi-Modal Molecular Representation Learning via Structure Awareness cites this paper.

Multi-Modal Molecular Representation Learning via Structure Awareness Pre-training Molecular Graph Representation with 3D Geometry

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T22:58:53.427955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:58:53.427955Z digest=sha256:4050bf5f8d97c13b1559835f9192701543c8ab1ea58e2ca710ebf8f80bf6ac68

Observation 3c6b4290-55d1-4dfb-94bf-64ed108fafbd · inbound

Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives cites this paper.

Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives Pre-training Molecular Graph Representation with 3D Geometry

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:48.925552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:29:48.925552Z digest=sha256:04afb2d2ea470cf63e378c7d88221dc9ad4c09c579fe4c1223f1d91ffca9578f

Observation ce9699f0-235e-46a7-8e8e-5cf047ec2dd1 · inbound

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs cites this paper.

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs Pre-training Molecular Graph Representation with 3D Geometry

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T22:32:41.207700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:32:41.207700Z digest=sha256:fc46af605ea30ba924fd6452c2c8c5befd116fba543f115f19daf05a8b87658d

Observation c5843e92-a7e4-44ec-84ff-3ca04142fe07 · inbound

BiScale-GTR: Fragment-Aware Graph Transformers for Multi-Scale Molecular Representation Learning cites this paper.

BiScale-GTR: Fragment-Aware Graph Transformers for Multi-Scale Molecular Representation Learning Pre-training Molecular Graph Representation with 3D Geometry

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:50:54.414223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:50:46.135600Z digest=sha256:d695458ca9172cb328abbb76beec9a7367effa30676c2da2be80214d1bd3f802

Observation 1bf54b72-6ce2-4794-ac34-e2a81cf64753 · 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 Pre-training Molecular Graph Representation with 3D Geometry

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:43:01.512131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T08:40:51.408244Z digest=sha256:42b857ba2031ffcdae666ff11ea5f66751ced186538f2ea5ba0dbb56fa5cd8eb

Observation 53dbad73-380b-4dbc-a1e9-8d3835f7d54f · inbound

GLACIER: A Multimodal Student-Teacher Foundation Model for Molecular Property Prediction cites this paper.

GLACIER: A Multimodal Student-Teacher Foundation Model for Molecular Property Prediction Pre-training Molecular Graph Representation with 3D Geometry

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-27T14:00:59.309560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T13:59:11.915458Z digest=sha256:a5fd70d1f7259525512fdcbc1f5e2ab4c1802357497473a3f683c43e4a9a4619

Observation 3058704f-4565-4e54-b86f-968364c6c528 · inbound

Handling Feature Heterogeneity with Learnable Graph Patches cites this paper.

Handling Feature Heterogeneity with Learnable Graph Patches Pre-training Molecular Graph Representation with 3D Geometry

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:08:56.292088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T01:36:45.977332Z digest=sha256:5a6978547e1eb4d1c38e9520c145a2dcde1ca22385f2eca5e81aa3523e259442

Observation 02c1ed9d-9d10-40a8-ba68-0b83a1a8ff91 · inbound

ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron Density cites this paper.

ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron Density Pre-training Molecular Graph Representation with 3D Geometry

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T22:26:38.429688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:26:38.429688Z digest=sha256:f63cc7d037c46847f96d89697789a6ccfc62b4b25d4926ea7be5f872b9f45ff2