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Paper Citation Record · LEDGER

Robust Long-Tailed Learning under Label Noise

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.11569.

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

pith.paper-citation-record.v1
2108.11569 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:21:57.318142Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:58:39.004355Z

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 4eeb3841-f920-4f2b-af81-41d3049ed49f · inbound

Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning cites this paper.

Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning Robust Long-Tailed Learning under Label Noise

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:58:39.007966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T23:57:19.449410Z digest=sha256:856014f51613c580765c4c220b435ad61103ee5cba4d2390f702f49a8f7902f6

Observation dc326788-e456-4597-af2a-936c89eec70e · inbound

Confidence Calibration of Deep Learning Systems cites this paper.

Confidence Calibration of Deep Learning Systems Robust Long-Tailed Learning under Label Noise

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:57.318142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:21:57.318142Z digest=sha256:fc0b7925f1dacbc35e1c5d4882de08112ab0d4539d77e27bee31bb03c50410df