Paper Citation Record · LEDGER

From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2308.01990.

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

pith.paper-citation-record.v1
2308.01990 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:31:14.391838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.095333Z

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 fe7a225a-925c-4d86-8982-11637f9bb703 · inbound

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation cites this paper.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T05:31:14.391838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7297cf11-533e-4483-ba2f-14640535585d · inbound

AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents cites this paper.

AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:24:32.682213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7ff9088-eaa3-4f0c-bf28-fa819d6479c3 · inbound

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines cites this paper.

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:07:10.599543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8e481a-6979-4c1e-91d7-eb514330e081 · inbound

Prompt Injection 2.0: Hybrid AI Threats cites this paper.

Prompt Injection 2.0: Hybrid AI Threats From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:03.503194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f601853c-768d-47c4-9cfc-4debd33fa37c · inbound

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain cites this paper.

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T10:44:10.545760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad04998d-f9d2-44dd-b354-b84c1e22dd3b · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 241

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:19.607584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bb338fd-cb85-4858-b66a-6c2dcd28aaa8 · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:42:22.216943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 973b962e-d8cc-446c-89f9-0af7ed6026ab · inbound

Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration cites this paper.

Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:10.059594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba00dc81-0bd0-4b45-a107-3b83863071b9 · inbound

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities cites this paper.

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:23:20.675218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51c9fa22-c8f9-421b-93f0-15d7a458d154 · inbound

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents cites this paper.

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:53.097078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.