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 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:23:59.030691Z

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 5028c061-7f72-4fb7-8999-d9d6fb815b5c · inbound

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection cites this paper.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:59.030691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.