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Paper Citation Record · LEDGER

Unsupervised Embedding Quality Evaluation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.16562.

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

pith.paper-citation-record.v1
2305.16562 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:26:20.880180Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:07:30.405388Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1b308946-ef0a-4850-b8ba-4d527267eea2 · inbound

Evaluating Loss Functions for Graph Neural Networks: Towards Pretraining and Generalization cites this paper.

Evaluating Loss Functions for Graph Neural Networks: Towards Pretraining and Generalization Unsupervised Embedding Quality Evaluation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T00:26:20.880180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:26:20.880180Z digest=sha256:39236ee2b44f5d8412b030740f945105c125be62063c469a4ec444380987d56b

Observation b78f93d5-48a5-4bf1-94e8-9511bc8c0fc5 · inbound

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders cites this paper.

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders Unsupervised Embedding Quality Evaluation

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:07:30.407156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T16:48:38.820334Z digest=sha256:1f91dfde15ed656ff7b2e586e9c7c4d6f34e96b2f57a2689f5c94c3a2f255240