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Paper Citation Record · LEDGER

Topotein: Topological Deep Learning for Protein Representation Learning

As of 19 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 4 inbound Pith citation observations for arXiv:2509.03885.

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

pith.paper-citation-record.v1
2509.03885 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:38:37.047692Z

measured 6 of 6 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T08:18:48.823906Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:09:44.392345Z

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16c96376-ea23-46a9-b362-923e3bac156a · outbound

This paper cites Weisfeiler and Lehman Go Cellular: CW Networks.

Topotein: Topological Deep Learning for Protein Representation Learning Weisfeiler and Lehman Go Cellular: CW Networks

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-05T10:38:36.976813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:38:36.976813Z digest=sha256:98fddd026797d09a528d8c78d064613a869ef312bd21b91d3dd75c6736b579af

Observation 2c7896b0-bd1e-4678-a714-bbddb6f5a9f0 · outbound

This paper cites This node-level multi-class classification task predicts amino acid sequences that would fold into given 3D protein structures.

Topotein: Topological Deep Learning for Protein Representation Learning This node-level multi-class classification task predicts amino acid sequences that would fold into given 3D protein structures

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:38:37.256245Z

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=2026-08-05T10:38:37.047692Z digest=sha256:fc12191645deaf7d26b7ab0466ff5914e2f1813322eec4cb97638d76800b163e

Pith citing papers

Observation 2b6c528f-1c36-4c99-801f-6bfed1e81d9a · inbound

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

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction Topotein: Topological Deep Learning for Protein Representation Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:16:19.138766Z

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=2026-05-18T11:13:33.458480Z digest=sha256:d0e5a1e022c113c2b36ba4d60efde7693608853ca8209c0577a1a5e5138ef313

Observation 7bb773a2-177d-4073-b58f-f5fe332a4bbf · inbound

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

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction Topotein: Topological Deep Learning for Protein Representation Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:04:24.129935Z

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=2026-05-21T22:02:20.544141Z digest=sha256:0b6504bfa39c5fae56731cf1ec8f1b3cd1d2a4988d3f7805b54869398c04f383

Observation f4e5331c-130e-4e6c-927d-b70a98f55073 · inbound

From Persistence to Survival: Hypothesis Testing, Effect Sizes and Vectorisation for Topological Features cites this paper.

From Persistence to Survival: Hypothesis Testing, Effect Sizes and Vectorisation for Topological Features Topotein: Topological Deep Learning for Protein Representation Learning

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:18:12.732101Z

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=arxiv_source observed=2026-06-27T08:18:48.823906Z digest=sha256:f2a2607f5e785d494b399d26d52406012d02daf0b9c6db8068bb4426bdc690f6

Observation 2b86c59b-b9de-46b2-90b4-d0d80b42ec4b · inbound

Collapsed Effective Operators for Higher-order Structures cites this paper.

Collapsed Effective Operators for Higher-order Structures Topotein: Topological Deep Learning for Protein Representation Learning

Reference 161

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:44.393696Z

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=arxiv_source observed=2026-06-26T09:09:50.120355Z digest=sha256:e2b8090a66eb8581641881fa1e7db5d8c680d79dc9f98770b038853c060bb7bf