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Paper Citation Record · LEDGER

Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.06230.

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

pith.paper-citation-record.v1
2312.06230 v2

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 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:28:00.750435Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:37:55.344909Z

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 b58174a1-4b20-4949-acff-9adc6b4dd1f9 · inbound

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization cites this paper.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T18:28:00.750435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:28:00.750435Z digest=sha256:6c8839885cf7c07a6ff5103cf105df09c4209904e1bf22df2393c1145a4d25f7

Observation 951396ae-82f0-4c5b-b267-a1dc9658fef0 · inbound

Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images cites this paper.

Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T17:40:15.001115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:40:15.001115Z digest=sha256:16d5b0e91f34734add587fb3168d933350d51bb87ddb1f829b782817bed50041

Observation 501d6c92-3305-41bf-a945-02e386bfdb66 · inbound

SifterNet: A Generalized and Model-Agnostic Trigger Purification Approach cites this paper.

SifterNet: A Generalized and Model-Agnostic Trigger Purification Approach Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks

Reference 39

Resolution
malformed identifier
local_arxiv, observed 2026-08-07T15:37:55.500774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:37:55.151302Z digest=sha256:da8318321e676d8b7538a26ffeff5c3554de748a0fbae66368ec9b82a08dc2a0