Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Poisoning Language Models During Instruction Tuning
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.00944.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:00.801567Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T16:48:02.790372Z
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 bc95fc63-7c6c-48ac-9a89-c8ef36ff4daf · inbound
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers cites this paper.
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers Poisoning Language Models During Instruction Tuning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:01:31.121180Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfb90df9-bf4e-4d28-9e43-f067f4819c95 · inbound
Emerging Security Challenges of Large Language Models cites this paper.
Emerging Security Challenges of Large Language Models Poisoning Language Models During Instruction Tuning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:23:44.463916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c13a06ab-4e9b-4c6b-bc7b-f5f2886f3f53 · inbound
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures cites this paper.
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Poisoning Language Models During Instruction Tuning
Reference 139
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:28:00.801567Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3c72e84-9a5e-479f-9a66-84669cef5015 · inbound
Security Concerns for Large Language Models: A Survey cites this paper.
Security Concerns for Large Language Models: A Survey Poisoning Language Models During Instruction Tuning
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:03.683845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 353eeb47-4bf9-4bcf-b914-8dd221df76fc · 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 Poisoning Language Models During Instruction Tuning
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:26:13.736202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 213789a7-b3eb-48ab-abd7-133e16114975 · inbound
From Prompt to Physical Action: Structured Backdoor Attacks on LLM-Mediated Robotic Control Systems cites this paper.
From Prompt to Physical Action: Structured Backdoor Attacks on LLM-Mediated Robotic Control Systems Poisoning Language Models During Instruction Tuning
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T16:48:02.792325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9d019718-79ef-428a-83b1-1ecb8f40ad8a · inbound
A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework cites this paper.
A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework Poisoning Language Models During Instruction Tuning
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:51:09.267708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.