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Paper Citation Record · LEDGER

Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.05446.

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

pith.paper-citation-record.v1
2408.05446 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:44:44.194206Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:33:47.769735Z

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 867e89c7-e56b-4d12-b07f-8449a616b835 · inbound

Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition cites this paper.

Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:33:47.773170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T02:29:38.678375Z digest=sha256:3a861e3a3aa41f20885e70ae823558a2ae5641ad4587a977116325b80eb5edc9

Observation a9879aa4-0e7e-483c-93ad-e4d79c07ac27 · inbound

Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models cites this paper.

Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T11:44:44.194206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:44:44.194206Z digest=sha256:82fb7951bed4e40cf73c710992ce2917ad91cb232610d3a4f422667f504c7cff

Observation 670de751-932c-4b61-a4a3-edd104490f48 · inbound

On the existence of consistent adversarial attacks in high-dimensional linear classification cites this paper.

On the existence of consistent adversarial attacks in high-dimensional linear classification Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:21.136349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:02:21.136349Z digest=sha256:70d86d8726c4dccc9f89e4995f2ada5bb850c9b96435fba1f17fd0de47fab4b4

Observation 036fc72d-2904-4b79-b835-6f616e69ff29 · inbound

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track cites this paper.

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-06T23:13:22.313275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:13:22.313275Z digest=sha256:3f80ce3e74e126354176d0cd6d796a9cada38088695a364fb8e775f8d3781fe0