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Paper Citation Record · LEDGER

MONICA: Benchmarking on Long-tailed Medical Image Classification

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.02010.

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

pith.paper-citation-record.v1
2410.02010 v1

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T21:39:49.746235Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:48:59.065064Z

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 66243663-9c3c-442a-ac6e-a9985cbbd925 · inbound

Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook cites this paper.

Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook MONICA: Benchmarking on Long-tailed Medical Image Classification

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:58:42.739116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T23:57:11.100992Z digest=sha256:92d3c8b7f0f5fe5881ae96f05e134d65796897e40ecfbd4a1c0f4ad192113ba6

Observation cd4ae4ff-80ce-4b98-a848-1cf4c13a6095 · inbound

Synthetic Data Generation for Long-Tail Medical Image Classification: A Case Study in Skin Lesions cites this paper.

Synthetic Data Generation for Long-Tail Medical Image Classification: A Case Study in Skin Lesions MONICA: Benchmarking on Long-tailed Medical Image Classification

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:51:31.071111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T18:12:45.917682Z digest=sha256:0f416a95c2576627e82cfe5b1e734f9dfa8f6f36ea7b0fc6b8563fbd0b319e87

Observation 9301ffa9-3cf5-45cb-9756-aecf5306fde6 · inbound

Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation cites this paper.

Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation MONICA: Benchmarking on Long-tailed Medical Image Classification

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T14:57:03.851028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-02T14:50:20.955009Z digest=sha256:c869ae55c3a4d9edcd73abb5588210250d38ce8473d44cb6975a5aa3f6ff1d1b

Observation 37d20832-6ee6-44f0-91a4-933270fdbe69 · inbound

Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation cites this paper.

Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation MONICA: Benchmarking on Long-tailed Medical Image Classification

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T21:48:59.066414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-03T21:39:49.746235Z digest=sha256:9b6222a3fb34c21dffc2ebaf76cb5b793d857b7ec86774d7b4d87d1d2d2f058e