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Paper Citation Record · LEDGER

MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.14795.

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

pith.paper-citation-record.v1
2110.14795 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:25:14.897265Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:27:29.901659Z

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 bad5c969-f8bf-415a-a13d-e58eb03e0003 · inbound

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence cites this paper.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T20:25:14.897265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:25:14.897265Z digest=sha256:31a9c71634b684de7f08c5b4a281f2b2bb22ae51262c905de1c13cc77f0e3cc8

Observation d20b352c-5c7a-4396-82eb-748e55bca522 · inbound

Variational Inference for Evidential Deep Learning cites this paper.

Variational Inference for Evidential Deep Learning MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:53:55.488240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T19:50:40.292102Z digest=sha256:6ecf41f443f48ec70a1b51e962cfd9a4ea16c09ccab2a5f531e8f3df2ed80ccd

Observation 12023528-f83d-480b-829b-610cf475e0a3 · inbound

Variational Inference for Evidential Deep Learning cites this paper.

Variational Inference for Evidential Deep Learning MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T13:13:40.653300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:13:40.653300Z digest=sha256:62c452817f0ca3394c8bc02de13f02186a9f94fc4ac256687f54ddd341695598

Observation ab622b1a-1698-41c8-80cf-61b7c4d36062 · inbound

Hybrid Robustness Verification for Spatio-Temporal Neural Networks cites this paper.

Hybrid Robustness Verification for Spatio-Temporal Neural Networks MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:27:29.903097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T17:11:18.466650Z digest=sha256:cb49b669f3042d294331a4457c3cd2ff060ba7b5cb7881ee556202c1dfac29fb

Observation d55dc45f-bbb7-4aef-bd3d-ad08444d47ed · inbound

SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift cites this paper.

SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T16:19:07.566270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:19:07.566270Z digest=sha256:cc7210ebbc8008ea0dbb91893a4b97fb0b5b17ac35d4b0fb2565464b68d85b93