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Paper Citation Record · LEDGER

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.02276.

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

pith.paper-citation-record.v1
2009.02276 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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:26:13.636474Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:07.022748Z

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 4942d2f7-4109-44a6-875d-4337cbeef09b · inbound

Circumventing Safety Alignment in Large Language Models Through Embedding Space Toxicity Attenuation cites this paper.

Circumventing Safety Alignment in Large Language Models Through Embedding Space Toxicity Attenuation Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:26:13.636474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:13.636474Z digest=sha256:ca60add5ba6bcbd099e26dc4822d01a61e5931420b44a68619d31382e5da1467

Observation 4ccec100-cc0d-466e-a4c0-0bcd42cfb8e2 · inbound

Coward: Collision-based OOD Watermarking for Practical Proactive Federated Backdoor Detection cites this paper.

Coward: Collision-based OOD Watermarking for Practical Proactive Federated Backdoor Detection Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:31:57.742573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T01:27:38.219528Z digest=sha256:90b619182664daa2999774c4b79d0f752253e4e8228391a3984d85ae0f8dd331

Observation 5815c3e6-0496-4d38-884a-3123fa2f53d8 · inbound

Stealthy World Model Manipulation via Data Poisoning cites this paper.

Stealthy World Model Manipulation via Data Poisoning Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T23:59:07.024885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T21:33:29.265149Z digest=sha256:e57e5e3f7904ab60dee2880888cc7537dfa42cebf362d8e35de0292c9417d2df