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Paper Citation Record · LEDGER

A Comprehensive Review on Deep Supervision: Theories and Applications

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.02376.

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

pith.paper-citation-record.v1
2207.02376 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 2026-06-26T14:13:01.806537Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:49:37.590581Z

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 1d6a710d-cd7f-4944-b38e-16ecba48442f · inbound

OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization cites this paper.

OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization A Comprehensive Review on Deep Supervision: Theories and Applications

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:44:04.663439Z

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=2026-05-21T08:40:59.474084Z digest=sha256:d3d3ca4dd997d4ad6758d7073189b19d951690f73c91b8bc9ed7fced20062a04

Observation 6b60debb-9d6b-46c6-b65f-19962cf9250b · inbound

From Gradient Clipping to Structural Refinement: Improving DPSGD for Medical Image Segmentation cites this paper.

From Gradient Clipping to Structural Refinement: Improving DPSGD for Medical Image Segmentation A Comprehensive Review on Deep Supervision: Theories and Applications

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:49:37.592148Z

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=2026-06-26T14:13:01.806537Z digest=sha256:50ae9096412e5def97d097e3b2fc2851042a6de39aa5fc8d25184a89c484f0a2