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Paper Citation Record · LEDGER

Toward a Geometrical Understanding of Self-supervised Contrastive Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.06926.

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

pith.paper-citation-record.v1
2205.06926 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:13:08.596744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T07:23:00.080384Z

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 81ad9f34-8c14-488f-b74d-dcbd7d68a5a5 · inbound

Maximally Separated Active Learning cites this paper.

Maximally Separated Active Learning Toward a Geometrical Understanding of Self-supervised Contrastive Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T12:13:08.596744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:13:08.596744Z digest=sha256:c7a40a802c3fcfb1b640958c3f2255e170add9739a2266863d456b5ebfdd871b

Observation 71250fc9-bb8b-48b6-a344-7adf6264adbc · inbound

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics cites this paper.

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics Toward a Geometrical Understanding of Self-supervised Contrastive Learning

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:23:00.082958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-16T07:22:59.854042Z digest=sha256:23b9b00dca1c91ad4b8f5de81687f8a665d9bcc9984b9f357a869b90b2478f1b