Paper Citation Record · LEDGER

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2305.14710.

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

pith.paper-citation-record.v1
2305.14710 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.297603Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:03:46.896233Z

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 7f1301a2-6812-45ed-b504-e340d7607c51 · inbound

An Overview of Catastrophic AI Risks cites this paper.

An Overview of Catastrophic AI Risks Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 138

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:03:46.899976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d0f3c18-b513-4fd4-a1fc-3e7ad22a1cb5 · inbound

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents cites this paper.

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:36:57.087415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2409fb2-aebe-4140-90dd-9b3b51ea3946 · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:00.297603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e710c9-79cd-4b5e-91cb-48c06504e091 · inbound

Injecting Universal Jailbreak Backdoors into LLMs in Minutes cites this paper.

Injecting Universal Jailbreak Backdoors into LLMs in Minutes Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T17:16:49.780363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3879b470-b54c-4f35-b1b2-f1bd0733f3bb · inbound

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations cites this paper.

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-07T19:45:19.784747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa3c4d00-fae0-4551-9bd2-7a8ba27a65f0 · inbound

$PD^3F$: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models cites this paper.

$PD^3F$: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:04.854266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b89bbc68-dbf9-464b-8b0b-4cc345126973 · inbound

Daunce: Data Attribution through Uncertainty Estimation cites this paper.

Daunce: Data Attribution through Uncertainty Estimation Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:17.201653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6fe6a95-c848-47f4-98ec-9dc79e418761 · inbound

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 cites this paper.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:52.493476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5f5a94d-64c7-4426-be51-ccce25be8610 · inbound

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation cites this paper.

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:56.134629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29ecab4a-5913-4ebc-88bb-f45e8f6a09e9 · inbound

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-04T22:33:29.981637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e7b15e-7fe8-4670-8053-7de3f9b82bb0 · inbound

Where Do Backdoors Live? A Component-Level Analysis of Backdoor Propagation in Speech Language Models cites this paper.

Where Do Backdoors Live? A Component-Level Analysis of Backdoor Propagation in Speech Language Models Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T13:15:24.179041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87037e30-0385-4b0c-b044-9ebda7b31148 · inbound

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:25:54.517830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.