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Paper Citation Record · LEDGER

LLM Misalignment via Adversarial RLHF Platforms

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.03039.

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

pith.paper-citation-record.v1
2503.03039 v1

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 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.558824Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T06:02:07.845211Z

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 ac196fe1-1bfd-4c07-af06-c094e5e290bb · 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 LLM Misalignment via Adversarial RLHF Platforms

Reference 190

Resolution
unresolved
no resolver link, observed 2026-08-16T11:24:12.558824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:24:12.558824Z digest=sha256:136bd34bdeea5a7d41adaf7a46057e54665c075bc4e86f20f1e36b2abf9f62bd

Observation 1a8995d4-7794-40e9-86dd-4cda9262d050 · 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 LLM Misalignment via Adversarial RLHF Platforms

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:02:07.848830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T05:58:17.452837Z digest=sha256:f2f53faef2374165817cddeffa27abbeb4ce1153fc92d054b064f00d97eaeea4

Observation dccf0d84-a774-4025-a153-fdbea2e7f4c0 · inbound

A Jointly Efficient and Optimal Algorithm for Heteroskedastic Generalized Linear Bandits with Adversarial Corruptions cites this paper.

A Jointly Efficient and Optimal Algorithm for Heteroskedastic Generalized Linear Bandits with Adversarial Corruptions LLM Misalignment via Adversarial RLHF Platforms

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T01:00:59.313048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:00:59.313048Z digest=sha256:d2daee162a163e64c5acb99241ea5961e6d454b8af3a8d39d9ead4d86c20653f

Observation b1c0cbe3-b1cc-478a-be28-a7fdc0d14c68 · inbound

The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus cites this paper.

The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus LLM Misalignment via Adversarial RLHF Platforms

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:37:04.229821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T07:36:11.917011Z digest=sha256:cc4783c0deb34ae366ba6753026a8168c2e21015f78fd8cf64dae498c6fa9ac7