Pith. sign in

Paper Citation Record · LEDGER

Topotein: Topological Deep Learning for Protein Representation Learning

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T10:38:37.047692Z digest=sha256:e2821dd5648d1345a90d513e97303c0441f322a382dad5ed1d4bb2ea31740ae3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T11:13:33.458480Z digest=sha256:63d6dde91a812ab5070d408160bc27f112017d02f5decea3484ed551710e9aae

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T22:02:20.544141Z digest=sha256:2978e25814671114c8426e31c2a6bcbebf92ed087e1cf42dcb7158196e88b735

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T08:18:48.823906Z digest=sha256:d4297529eb5fe45a08ada21a0e83ba32a2996ce46b561dd33bd91537ddc5af23

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T09:09:50.120355Z digest=sha256:89d4bf5c532b93b12ba7f5a872dd5e3fdc7fc5aa03566e362a49729e62d76060