Paper Citation Record · LEDGER

Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:59:11.522790Z

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 2026-08-15T06:32:42.880941+00:00.

Observation 7a2707ae-d2d4-476b-ae45-71f39a7017a6 · inbound

Obfuscated Activations Bypass LLM Latent-Space Defenses cites this paper.

Obfuscated Activations Bypass LLM Latent-Space Defenses Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T16:59:11.522790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388017f9-e321-41f2-98bb-44e081ba36f1 · inbound

A Note on Implementation Errors in Recent Adaptive Attacks Against Multi-Resolution Self-Ensembles cites this paper.

A Note on Implementation Errors in Recent Adaptive Attacks Against Multi-Resolution Self-Ensembles Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T15:07:57.609139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.