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Paper Citation Record · LEDGER

Towards Democratizing Joint-Embedding Self-Supervised Learning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.01986.

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

pith.paper-citation-record.v1
2303.01986 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T05:56:38.042978Z

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 21fe63be-772c-4116-a2e0-63fd25274c97 · inbound

HSG: Hyperbolic Scene Graph cites this paper.

HSG: Hyperbolic Scene Graph Towards Democratizing Joint-Embedding Self-Supervised Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:36:02.155832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T05:31:26.614924Z digest=sha256:476007eceb7650964197de1e3693e96b0c4017ca14d2145143e943b116799669

Observation b1c0ab77-e7cb-4b64-8963-a0e44cf2d0e8 · inbound

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Towards Democratizing Joint-Embedding Self-Supervised Learning

Reference 131

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:21.830590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T05:56:38.042978Z digest=sha256:e0563419a92913a6d4cb1deb832c58ef401dc71886e0579237da624d00abd35e