Paper Citation Record · LEDGER

Protein Representation Learning by Geometric Structure Pretraining

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2203.06125.

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

pith.paper-citation-record.v1
2203.06125 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:43:34.497613Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:09:44.977747Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 17cf5386-5bcc-4922-9fb0-2aeed124b1e2 · inbound

A Comprehensive Review of Protein Language Models cites this paper.

A Comprehensive Review of Protein Language Models Protein Representation Learning by Geometric Structure Pretraining

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-08T18:43:34.497613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a64b37d6-255d-48ed-acc5-b33443aebedf · inbound

STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding cites this paper.

STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding Protein Representation Learning by Geometric Structure Pretraining

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T12:07:20.922135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 245de55a-af88-4c10-8021-9234fa9c8103 · inbound

Tokenizing Loops of Antibodies cites this paper.

Tokenizing Loops of Antibodies Protein Representation Learning by Geometric Structure Pretraining

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T20:20:51.800268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fe2f7f2-5394-463a-a5fa-ff782ff5e54c · inbound

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction cites this paper.

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction Protein Representation Learning by Geometric Structure Pretraining

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:16:19.127570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b68abf60-585f-4421-bef6-3e16acf865c6 · inbound

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction cites this paper.

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction Protein Representation Learning by Geometric Structure Pretraining

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:04:24.146577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d47ffe3c-1826-480c-939f-fe4d011733e0 · inbound

PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies cites this paper.

PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies Protein Representation Learning by Geometric Structure Pretraining

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:51:09.580407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa379758-c68b-45dd-b97d-c8a20e4090ac · inbound

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach cites this paper.

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach Protein Representation Learning by Geometric Structure Pretraining

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:46.025278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8814a67-b7fa-4b95-9fc6-884793d42a2c · inbound

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach cites this paper.

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach Protein Representation Learning by Geometric Structure Pretraining

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T04:02:13.360149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 462284e4-990f-49e8-a0bd-0f2bbabe24b2 · inbound

Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation cites this paper.

Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation Protein Representation Learning by Geometric Structure Pretraining

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:46:29.828645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c032abca-7eca-4c44-b38d-13517f1b10d8 · inbound

Structural Interpretations of Protein Language Model Representations via Differentiable Graph Partitioning cites this paper.

Structural Interpretations of Protein Language Model Representations via Differentiable Graph Partitioning Protein Representation Learning by Geometric Structure Pretraining

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:28.813969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a843801-f8d8-41b4-ad1e-7ea03f387035 · inbound

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation cites this paper.

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation Protein Representation Learning by Geometric Structure Pretraining

Reference 183

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:09:38.567428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a7935d5f-4872-42df-8324-f9072b407272 · inbound

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning cites this paper.

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning Protein Representation Learning by Geometric Structure Pretraining

Reference 183

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:31:22.690766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7ee4581-5875-49fb-9a21-cfe85cf1ef3e · inbound

AgForce Enables Antigen-conditioned Generative Antibody Design cites this paper.

AgForce Enables Antigen-conditioned Generative Antibody Design Protein Representation Learning by Geometric Structure Pretraining

Reference 183

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:21:20.553340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 520668dd-24a9-450c-bdc6-2f0601446aa9 · inbound

CryoProt: A Protein Pretraining Framework with Cross-Box Interactions on Cryo-EM Density Maps cites this paper.

CryoProt: A Protein Pretraining Framework with Cross-Box Interactions on Cryo-EM Density Maps Protein Representation Learning by Geometric Structure Pretraining

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:52:27.216090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b70c84ba-8c21-4510-a185-32679f100689 · inbound

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning cites this paper.

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning Protein Representation Learning by Geometric Structure Pretraining

Reference 159

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:44.044408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e1870ac-5e9d-4274-8dee-e05a5296f29d · inbound

SurfDesign: Effective Protein Design on Molecular Surfaces cites this paper.

SurfDesign: Effective Protein Design on Molecular Surfaces Protein Representation Learning by Geometric Structure Pretraining

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:33:54.286349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed0adead-eeb0-4632-bed5-54179f16afd2 · inbound

Deciphering Fingerprints of 3D Molecular Surfaces for Accurate Epitope Prediction cites this paper.

Deciphering Fingerprints of 3D Molecular Surfaces for Accurate Epitope Prediction Protein Representation Learning by Geometric Structure Pretraining

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:09:44.979068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 448fc75b-59e6-49c8-a484-db78675799ca · inbound

Exploring the Alignment of Generation and Understanding in Protein Structure Modeling cites this paper.

Exploring the Alignment of Generation and Understanding in Protein Structure Modeling Protein Representation Learning by Geometric Structure Pretraining

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T05:05:24.273857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.