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Paper Citation Record · LEDGER

Evaluating representation learning on the protein structure universe

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.13864.

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

pith.paper-citation-record.v1
2406.13864 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:09:17.203884Z

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

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

External citation measurements

6
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 4be1d7d1-1ed4-4161-a367-92bc9895b02f · inbound

Challenges and Guidelines in Deep Generative Protein Design: Four Case Studies cites this paper.

Challenges and Guidelines in Deep Generative Protein Design: Four Case Studies Evaluating representation learning on the protein structure universe

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.203884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:09:17.203884Z digest=sha256:7829ac432221e8069a4210a8814dcc508a261eb586e8bb237136452988118233

Observation 6c75a5f5-14b2-428d-a07f-aa4fedecb61f · inbound

Fast and Interpretable Protein Substructure Alignment via Optimal Transport cites this paper.

Fast and Interpretable Protein Substructure Alignment via Optimal Transport Evaluating representation learning on the protein structure universe

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:31:06.552605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T08:27:36.890001Z digest=sha256:4ff7deabb3fe5aaf04809841370bb7e40480a74f500922e34e23ac31fb8e0bd1