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Paper Citation Record · LEDGER

Can Contrastive Learning Refine Embeddings

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.08701.

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

pith.paper-citation-record.v1
2404.08701 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:04:57.023492Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:03:48.196903Z

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 5f5ecea5-076a-47ad-9c71-b4a91b31da4c · inbound

PyG-SSL: A Graph Self-Supervised Learning Toolkit cites this paper.

PyG-SSL: A Graph Self-Supervised Learning Toolkit Can Contrastive Learning Refine Embeddings

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:57.023492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:57.023492Z digest=sha256:546ef3975f7a7a1633bdd67f0560f6c08e7c4ea61aaacc1d51cad0f1be6bd90a

Observation 73e0eb91-51e7-40da-8909-ce55a3aac5bc · inbound

Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral Graph Neural Networks cites this paper.

Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral Graph Neural Networks Can Contrastive Learning Refine Embeddings

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:03:48.198266Z

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=2026-06-29T17:55:58.403621Z digest=sha256:1bc9fe176234ad3c5637c6dfd6a55c9e7db6e10eb37db57c2e9ba13b29666410