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Paper Citation Record · LEDGER

Do Adversarially Robust ImageNet Models Transfer Better?

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.08489.

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

pith.paper-citation-record.v1
2007.08489 v2

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:30:29.450912Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:56:15.512747Z

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 221fd680-a00d-44c8-832c-604c11fbe910 · inbound

Killing it with Zero-Shot: Adversarially Robust Novelty Detection cites this paper.

Killing it with Zero-Shot: Adversarially Robust Novelty Detection Do Adversarially Robust ImageNet Models Transfer Better?

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T14:30:29.450912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:30:29.450912Z digest=sha256:f427fd77a3455c94c5b31f6bc13350f90e8713c9317492cc606bced731a0f361

Observation 6ca28d03-b333-491b-b406-e34987a0453f · inbound

Adversarial Examples Are Not Bugs, They Are Superposition cites this paper.

Adversarial Examples Are Not Bugs, They Are Superposition Do Adversarially Robust ImageNet Models Transfer Better?

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:56:15.614207Z

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=arxiv_source observed=2026-08-05T16:56:10.534478Z digest=sha256:586549a145d90caf71217726566bcb27f4e2db6c534ed45bf92fd625e283ea7b