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Paper Citation Record · LEDGER

Deep Partition Aggregation: Provable Defense against General Poisoning Attacks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.14768.

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

pith.paper-citation-record.v1
2006.14768 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:58:12.013805Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T04:03:56.627517Z

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 71ea4002-2d91-4894-99bd-3443b068e4c5 · inbound

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning cites this paper.

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning Deep Partition Aggregation: Provable Defense against General Poisoning Attacks

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:12.013805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:12.013805Z digest=sha256:c79b1f4ddedc8950ac3da6e94cdb918dc6c0e05926293993577d83a53934db3d

Observation 2592ad38-b702-4922-8cde-75107e024679 · inbound

Detecting Trojaned DNNs via Spectral Regression Analysis cites this paper.

Detecting Trojaned DNNs via Spectral Regression Analysis Deep Partition Aggregation: Provable Defense against General Poisoning Attacks

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:03:56.629447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T04:03:36.586890Z digest=sha256:47caa79c1a6be8987fdbac4029fed5c22b24914b772007d5f2225d4bbc5447d2