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Paper Citation Record · LEDGER

Mitigating Label Noise on Graph via Topological Sample Selection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.01942.

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

pith.paper-citation-record.v1
2403.01942 v4

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:29:57.946969Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:51:44.544181Z

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 bf392996-f4d1-41c3-bcc8-2337175d128e · inbound

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels cites this paper.

Introducing Fractional Classification Loss for Robust Learning with Noisy Labels Mitigating Label Noise on Graph via Topological Sample Selection

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:51:44.549229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:51:44.492581Z digest=sha256:abfc740615ec0a187907dfeeb2babeee69b601994fe95e3a6a82ff8b046d45f7

Observation 58b5660d-6260-46e1-908c-065a195af10c · inbound

Adversarial Stress Testing of Role-Playing Language Agents using Multi-Agent Evaluation cites this paper.

Adversarial Stress Testing of Role-Playing Language Agents using Multi-Agent Evaluation Mitigating Label Noise on Graph via Topological Sample Selection

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T00:29:57.946969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:29:57.946969Z digest=sha256:6ee8b4bcf957297cc309f5d09c695c7fbabe5707665354d4b0e3ba1f8455258d