Paper Citation Record · LEDGER

Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.05530.

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

pith.paper-citation-record.v1
2404.05530 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.434136Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:35:34.297370Z

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 537888dd-05cd-4539-a3fe-422b4264b677 · 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 Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:18.667825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05655a15-77a3-4cf5-8d64-d4b422561197 · inbound

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 153

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.434136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c232ca51-e49b-4862-ba9d-ffcc20072146 · inbound

BadReward: Clean-Label Poisoning of Reward Models in Text-to-Image RLHF cites this paper.

BadReward: Clean-Label Poisoning of Reward Models in Text-to-Image RLHF Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:03.450932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ea8583f-01ce-43e0-8962-3952464ac255 · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:31.659055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a1e449-3bf3-4fce-81c0-d98dbe07515a · inbound

LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users cites this paper.

LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:02:07.889604Z

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.

Observation 2d117101-72e5-4df1-a85c-1bed623829a0 · inbound

Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback cites this paper.

Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:19:29.010728Z

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.

Observation 6d7cedd1-8dc4-434b-a735-c9b982f3d33c · inbound

Efficient Preference Poisoning Attack on Offline RLHF cites this paper.

Efficient Preference Poisoning Attack on Offline RLHF Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:50:27.078067Z

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.

Observation 07fd624c-d5f8-4775-981a-df5f100701ad · inbound

BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models cites this paper.

BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.876995Z

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.

Observation 755586fc-8e5b-48df-b2e1-fb846640574c · inbound

Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks cites this paper.

Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:58:10.414114Z

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.

Observation a5cfad75-ff3f-4040-8ca4-6fdb3083bd27 · inbound

Reframing AGI Confrontation with Off Earth Autonomy cites this paper.

Reframing AGI Confrontation with Off Earth Autonomy Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:35:34.298617Z

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.