Paper Citation Record · LEDGER

Understanding the Supply Chain and Risks of Large Language Model Applications

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 3 inbound Pith citation observations for arXiv:2507.18105.

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

pith.paper-citation-record.v1
2507.18105 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:45:42.918332Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:19:22.704957Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:23:20.652907Z

Reference resolution

28 of 28 outbound references displayed

verified exact1
verified fuzzy3
unresolved23
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 478c0260-db5f-4dfc-98f8-1b63e97a3c3e · outbound

This paper cites GPT in Sheep's Clothing: The Risk of Customized GPTs.

Understanding the Supply Chain and Risks of Large Language Model Applications GPT in Sheep's Clothing: The Risk of Customized GPTs

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.843682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3ba34f9-1c35-4e95-95e9-11a2a237e2f3 · outbound

This paper cites Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems.

Understanding the Supply Chain and Risks of Large Language Model Applications Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.856490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c77d8cef-02d0-4b75-9aa2-e5755e690b87 · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

Understanding the Supply Chain and Risks of Large Language Model Applications Do Membership Inference Attacks Work on Large Language Models?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.859273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f76eb40a-1cfc-4eb3-a032-1c0f60d1684f · outbound

This paper cites Euronews.

Understanding the Supply Chain and Risks of Large Language Model Applications Euronews

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:43.349486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68928b11-7ff6-4c42-83df-f32e15bfefe5 · outbound

This paper cites RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models.

Understanding the Supply Chain and Risks of Large Language Model Applications RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.864839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d33092b-5102-4e71-8f90-9b78061fb2d9 · outbound

This paper cites Membership Inference Attacks Against Vision-Language Models.

Understanding the Supply Chain and Risks of Large Language Model Applications Membership Inference Attacks Against Vision-Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.867566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79abd22c-240f-4b88-9725-857d62440946 · outbound

This paper cites Pleak: Prompt leaking attacks against large language model applications.

Understanding the Supply Chain and Risks of Large Language Model Applications Pleak: Prompt leaking attacks against large language model applications

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:43.341493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45f7d85a-76f8-497c-aeac-667ff1e2f1cb · outbound

This paper cites Automatic and Universal Prompt Injection Attacks against Large Language Models.

Understanding the Supply Chain and Risks of Large Language Model Applications Automatic and Universal Prompt Injection Attacks against Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.873238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd7992d7-efc6-4419-a639-6b4406f9fa3b · outbound

This paper cites Prompt injection attacks and defenses in llm-integrated applications.

Understanding the Supply Chain and Risks of Large Language Model Applications Prompt injection attacks and defenses in llm-integrated applications

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-06T14:45:42.875860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 195e5e04-dd03-4d1e-954b-35f46fa17331 · outbound

This paper cites Hallucination Detection and Hallucination Mitigation: An Investigation.

Understanding the Supply Chain and Risks of Large Language Model Applications Hallucination Detection and Hallucination Mitigation: An Investigation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.878521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 073fbee0-bcc0-4e77-b21a-12bce1fe1be1 · outbound

This paper cites optimum habana.

Understanding the Supply Chain and Risks of Large Language Model Applications optimum habana

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:43.331799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6351fe2a-e6e3-4c08-a69a-59f01f6f8c61 · outbound

This paper cites Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks.

Understanding the Supply Chain and Risks of Large Language Model Applications Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.889327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8275d30-351c-4cbc-8bb0-b15b933d8848 · outbound

This paper cites do anything now.

Understanding the Supply Chain and Risks of Large Language Model Applications do anything now

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.892043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26be40f3-5415-425a-8219-250a4daee581 · outbound

This paper cites The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence.

Understanding the Supply Chain and Risks of Large Language Model Applications The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.894869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13375ff6-15fa-4a4b-ba95-5de4e47f2642 · outbound

This paper cites Beyond Memorization: Violating Privacy Via Inference with Large Language Models.

Understanding the Supply Chain and Risks of Large Language Model Applications Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.897645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de40687f-37e7-4e1d-91f2-504f0ef50e1c · outbound

This paper cites GPT Store Mining and Analysis.

Understanding the Supply Chain and Risks of Large Language Model Applications GPT Store Mining and Analysis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.900068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de75f07-8ecc-469b-a13f-f5682673574a · outbound

This paper cites Opening A Pandora's Box: Things You Should Know in the Era of Custom GPTs.

Understanding the Supply Chain and Risks of Large Language Model Applications Opening A Pandora's Box: Things You Should Know in the Era of Custom GPTs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.902778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11cb1854-b4d5-43b9-a785-e7a5328efa16 · outbound

This paper cites Demystifying LLM Supply Chain Vulnerabilities in the Wild: Distribution, Root Cause, and Real-World Impact.

Understanding the Supply Chain and Risks of Large Language Model Applications Demystifying LLM Supply Chain Vulnerabilities in the Wild: Distribution, Root Cause, and Real-World Impact

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.905342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a94714-65be-4576-ba57-7918469c847a · outbound

This paper cites A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems.

Understanding the Supply Chain and Risks of Large Language Model Applications A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.907822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a72206-9954-4a91-87e2-f7ae87ed7169 · outbound

This paper cites LLM App Squatting and Cloning.

Understanding the Supply Chain and Risks of Large Language Model Applications LLM App Squatting and Cloning

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:45:42.973877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3576dbb-ce6f-4b77-ad91-e23a35fc89f5 · outbound

This paper cites A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models.

Understanding the Supply Chain and Risks of Large Language Model Applications A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.912963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9cfa140-0e73-4539-a549-803c09b61a3a · outbound

This paper cites GPTs Window Shopping: An analysis of the Landscape of Custom ChatGPT Models.

Understanding the Supply Chain and Risks of Large Language Model Applications GPTs Window Shopping: An analysis of the Landscape of Custom ChatGPT Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.915704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44dd8d47-a542-4d88-b2d7-e04cd9399c11 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Understanding the Supply Chain and Risks of Large Language Model Applications Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.918332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a03dbd6-25ed-4eb4-aa92-813f9b93dba8 · outbound

This paper cites Rodrigo Pedro, Daniel Castro, Paulo Carreira, and Nuno Santos.

Understanding the Supply Chain and Risks of Large Language Model Applications Rodrigo Pedro, Daniel Castro, Paulo Carreira, and Nuno Santos

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.883615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c92356b-90be-4aa5-9449-ebcfa0883c74 · outbound

This paper cites Are LLMs Correctly Integrated into Software Systems?.

Understanding the Supply Chain and Risks of Large Language Model Applications Are LLMs Correctly Integrated into Software Systems?

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.886374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d774bde4-04ad-4642-a39d-027538703ada · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Understanding the Supply Chain and Risks of Large Language Model Applications On the Opportunities and Risks of Foundation Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.850187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97794215-ada6-49f4-9f3e-40a02bb0b665 · outbound

This paper cites Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models.

Understanding the Supply Chain and Risks of Large Language Model Applications Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.847281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9454b0b-8c8d-44ad-898e-cd51dce5e8ea · outbound

This paper cites Are aligned neural networks adversarially aligned?.

Understanding the Supply Chain and Risks of Large Language Model Applications Are aligned neural networks adversarially aligned?

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.853648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1e4dfd33-50d3-43b1-b342-a838ca8a1474 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Understanding the Supply Chain and Risks of Large Language Model Applications

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:31:24.848266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a949494-50f9-474c-bd0a-0298e0d2d958 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Understanding the Supply Chain and Risks of Large Language Model Applications

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-03T18:19:22.704957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e801676c-16a2-4b64-b0e4-7877a013223a · inbound

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

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities Understanding the Supply Chain and Risks of Large Language Model Applications

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:23:20.654722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.