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.

pith.paper-citation-record.v1
2305.00944 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:00.801567Z

measured 0 of 1 external citation measurements

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.