Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Is poisoning a real threat to LLM alignment? Maybe more so than you think
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.12091.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.423674Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T17:38:43.793888Z
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 b903ce8e-b760-4d83-8de6-fa1191ea6b6e · 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 Is poisoning a real threat to LLM alignment? Maybe more so than you think
Reference 150
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:24:12.423674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dadf7f30-775f-437c-b585-482100867b2e · inbound
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Is poisoning a real threat to LLM alignment? Maybe more so than you think
Reference 290
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:36:47.325427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f3ed951-42a0-4b2b-9cb0-6855e1369b1b · 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 Is poisoning a real threat to LLM alignment? Maybe more so than you think
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T06:02:07.872783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ca4cc7a9-7d41-48c1-9632-1961ab569f29 · inbound
Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling cites this paper.
Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling Is poisoning a real threat to LLM alignment? Maybe more so than you think
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T05:17:05.836576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f5ca4bfd-43cd-4f6c-9feb-6f33dad7aade · inbound
POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage cites this paper.
POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Is poisoning a real threat to LLM alignment? Maybe more so than you think
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:04:44.883293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4afd77e-a7ed-43ec-81d3-6185cd27af19 · inbound
Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs cites this paper.
Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs Is poisoning a real threat to LLM alignment? Maybe more so than you think
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:51:54.830133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4a434f6-a13b-46ff-9b5d-d0c8030bacea · inbound
FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization cites this paper.
FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization Is poisoning a real threat to LLM alignment? Maybe more so than you think
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:56:01.761956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b3f4eece-ae85-48c8-9bc4-0d7243610676 · inbound
BadDLM: Backdooring Diffusion Language Models with Diverse Targets cites this paper.
BadDLM: Backdooring Diffusion Language Models with Diverse Targets Is poisoning a real threat to LLM alignment? Maybe more so than you think
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:11:25.980424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5c183eb1-f2cd-45fa-a4e9-70a488b8f45a · inbound
Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs cites this paper.
Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs Is poisoning a real threat to LLM alignment? Maybe more so than you think
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T17:38:43.795430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.