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Paper Citation Record · LEDGER

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.12473.

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

pith.paper-citation-record.v1
2505.12473 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:41:28.708834Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:56:38.715423Z

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 0f940e70-c63c-4f67-b02a-99258dc01f6f · inbound

Is Dimensionality a Barrier for Retrieval Models? cites this paper.

Is Dimensionality a Barrier for Retrieval Models? Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables

Reference 158

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:56:38.718532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-25T04:55:45.919518Z digest=sha256:ad2aaa774c3c4bf3bfe52472cc571376524e11e5de69bab8726aac63ba418d72

Observation b7ce2b79-0041-4c0a-8648-736aa2262c20 · inbound

FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data cites this paper.

FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T15:41:28.708834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:41:28.708834Z digest=sha256:2ce163a9ef0ac4ce920f84fcba531c2f6ed893ae3debfa8f6a6255f8028c7677