Pith. sign in

Paper Citation Record · LEDGER

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.18775.

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

pith.paper-citation-record.v1
2403.18775 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:50:16.362830Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:13:59.799442Z

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 3858147f-7060-4892-ac81-d095f7827a5e · inbound

Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights cites this paper.

Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T21:50:16.362830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:16.362830Z digest=sha256:3dfd2619dd32ce802506e5a5d07e0eff3870efd8e45f7acac8ff38a08f28be4b

Observation 3b71351a-0efa-4c56-a906-58c3e932fdf0 · inbound

Personalized Generative Models for Contextual Debiasing cites this paper.

Personalized Generative Models for Contextual Debiasing ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:13:59.800942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T22:11:24.376145Z digest=sha256:5ea4b396c014c84b746417e8c3f13a7cb2b7183b7ce3ef4da5c753cbdf599779