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Paper Citation Record · LEDGER

Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2006.10803.

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

pith.paper-citation-record.v1
2006.10803 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:49.174870Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T14:04:51.500494Z

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 d9afc88c-7604-4978-92e4-21e90cdbdded · inbound

Emerging Properties in Self-Supervised Vision Transformers cites this paper.

Emerging Properties in Self-Supervised Vision Transformers Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:04:51.503437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T14:04:51.458382Z digest=sha256:c156f749abe384e18498de53701bd1dccf0a15ab389ba1efe9a85b845babfafd

Observation 6f66d8ef-24dd-425e-9258-2f1776c94bcc · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations

Reference 181

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T09:41:38.163690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-13T09:41:37.937046Z digest=sha256:ceef175612512acc2b96bb331197413033479cf396231fd9054735a81d58f2a4

Observation 415b701c-e5a4-44e0-8064-53c929d29945 · inbound

Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

Revisiting Feature Prediction for Learning Visual Representations from Video Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T12:40:24.035888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T12:40:23.709098Z digest=sha256:bde412724b71b58e1e325fe695092c1d3a84be1fc6fbcfd1a123a89a6683761e

Observation 169e23af-3c10-4e93-a239-6762fce37249 · inbound

Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning cites this paper.

Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:49.174870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:29:49.174870Z digest=sha256:d0113415f583162a66128ea66de3e0667d0991451f15bceb3e5d96b497dad8a4