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Paper Citation Record · LEDGER

Mitigating Adversarial Effects Through Randomization

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1711.01991.

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

pith.paper-citation-record.v1
1711.01991 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:10:18.165088Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T07:14:21.408187Z

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 c9e357ce-64d8-4d79-95bf-77eb972371d7 · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Mitigating Adversarial Effects Through Randomization

Reference 245

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T23:04:44.632254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:dbdda17dc980736b24d910a53701c84929c1be27f5b2f9f158f36039e068bac4

Observation f7f21761-f5a9-47a9-9b9b-ed58934a2bbe · inbound

Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition cites this paper.

Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition Mitigating Adversarial Effects Through Randomization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T22:10:18.165088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:10:18.165088Z digest=sha256:1254d045aa88af9a1521c1c8eb199e4407a6ff7dbbad459a2b590d9382f176fa

Observation 5566020e-394c-466b-9b2b-9ff53ba51f0c · inbound

Theory of Continual Learning Against Data Poisoning Attacks cites this paper.

Theory of Continual Learning Against Data Poisoning Attacks Mitigating Adversarial Effects Through Randomization

Reference 134

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T07:14:21.409811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-30T07:09:27.431370Z digest=sha256:7aeaa61c2621db9952bb5ce25383e9e3b387f16adf47edc7b08f6a4eecfaf929