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Paper Citation Record · LEDGER

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:40:18.800470Z

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 51302d53-8ecb-49fe-9bd4-df7e570cd22c · inbound

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs cites this paper.

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:18.800470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:40:18.800470Z digest=sha256:5d8cc443e66f3c5ed5d5a5c4e1a39126d69fefa64b97debe164fa4c636172bff

Observation 61a04f2f-34c5-4304-84a2-43d94f7176a8 · inbound

Provably effective detection of effective data poisoning attacks cites this paper.

Provably effective detection of effective data poisoning attacks Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T17:57:28.748801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:57:28.748801Z digest=sha256:c04844cb564ef9ef92e6d4b7bc81f32b155d60955b9ede23a89a6229da489f1a

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.

source=pdf_text observed=2026-08-07T11:23:59.030691Z digest=sha256:54a3344a2447ee51a4e6ef79f30a2ef03d5a9331c53c94e32efaa016e153a575

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:d579704c78c3be1870fc6efa30249151972a304d3888dc70586804922d5e30b5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T01:27:38.219528Z digest=sha256:ba685475d34761ab31b8cfe20a23012dbd4bafa6790aea44b548d2eec0546fa9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-26T21:33:29.265149Z digest=sha256:b13f8330554f62021693a1b63a998aeb26ed736cf80e0ca0267ee59f2ad56317