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Paper Citation Record · LEDGER

A Survey on Self-Supervised Representation Learning

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T02:16:27.651526Z

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T19:09:55.712131Z digest=sha256:c9127d86b153a21920c4b1142a8958ecd92b3c9fb24076be3640c96db708bda1

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T02:16:27.651526Z digest=sha256:62de074efa8dff42b85be7f3c15937f7741701a122dcba7adec79307f5d9969e