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Paper Citation Record · LEDGER

Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.04688.

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

pith.paper-citation-record.v1
2503.04688 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:33:28.192145Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:13:53.457689Z

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 0ee18d49-c03b-40d4-9abe-d9d15e50a3ce · inbound

Towards Field-Ready AI-based Malaria Diagnosis: A Continual Learning Approach cites this paper.

Towards Field-Ready AI-based Malaria Diagnosis: A Continual Learning Approach Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T10:33:28.192145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:33:28.192145Z digest=sha256:b1f543989e56e2799b4d5d52f66c617271bf14ff6ad4082cf3def29f99af4219

Observation 566689d6-ef82-41c9-8004-7d2a1ee8b582 · inbound

Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling cites this paper.

Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:13:53.459037Z

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=2026-06-29T04:47:16.684080Z digest=sha256:95a62de0286ec78a8f98db8aebecdcd79c9f3e5667b9a718a139a642708cadd5