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Paper Citation Record · LEDGER

A Survey on Self-Supervised Representation Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.11455.

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

pith.paper-citation-record.v1
2308.11455 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:41.372773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:49.497212Z

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 83bd95a4-d4a5-4178-8292-35fd269bb435 · inbound

SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication cites this paper.

SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication A Survey on Self-Supervised Representation Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:13:21.918851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T19:09:55.712131Z digest=sha256:dbbc3a0148b90a08a75c4d959003969bd3e99d40c4f7c2471b0661ef0434b75f

Observation 1587ac94-e307-4195-a04d-d6b54161f861 · inbound

When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning cites this paper.

When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning A Survey on Self-Supervised Representation Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:41.372773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:41.372773Z digest=sha256:b73d5a825aeb3b6359e67d5b28b8627a4561f5a08eef366679d3df711408441b

Observation 859e297f-f5ee-4099-841e-9fc893d3a810 · inbound

Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation cites this paper.

Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation A Survey on Self-Supervised Representation Learning

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:08:49.499119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T02:16:27.651526Z digest=sha256:a3e98926b154f0a9703dfa835585862162f2002c623e27a5e0c1aa16bfddce03