Paper Citation Record · LEDGER

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 3 inbound Pith citation observations for arXiv:2504.20763.

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

pith.paper-citation-record.v1
2504.20763 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:26:05.889006Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:06:37.003504Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:23:20.638389Z

Reference resolution

46 of 46 outbound references displayed

verified exact2
verified fuzzy15
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6db33b1f-b905-4164-8910-bee5ba93dbe5 · outbound

This paper cites Using an llm to help with code understanding,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Using an llm to help with code understanding,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.643162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0669928-2d54-4d1f-975b-bb91c73d8305 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.653068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3e262b5-12b8-4d90-8130-becf79f357cc · outbound

This paper cites A Survey of Large Language Models.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities A Survey of Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.658286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79bb16de-eab1-4419-97ac-6e431eb86468 · outbound

This paper cites ChatGPT is not all you need. A State of the Art Review of large Generative AI models.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities ChatGPT is not all you need. A State of the Art Review of large Generative AI models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.662861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fbdadea-dce0-4328-ba09-6175a253674f · outbound

This paper cites Large language models for software engineering: A systematic literature review,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Large language models for software engineering: A systematic literature review,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.667734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a8da1ca-2590-4f1d-8164-829917469514 · outbound

This paper cites From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.673523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 831c704c-ae1d-4a27-8066-f92286f8f6a6 · outbound

This paper cites Agents in Software Engineering: Survey, Landscape, and Vision.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Agents in Software Engineering: Survey, Landscape, and Vision

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.679780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1c20b17-7227-482b-857c-1c1265d1b626 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.686177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882e28bf-5c39-4a78-8487-ae3a4a3e8f09 · outbound

This paper cites Large language model supply chain: A research agenda,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Large language model supply chain: A research agenda,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.702131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 551a5bc0-16a5-43e2-8e82-0e8a9208bb09 · outbound

This paper cites Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.707378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac9564ca-782a-4cdf-87ad-1c170d792bcd · outbound

This paper cites Large Language Model Supply Chain: Open Problems From the Security Perspective.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Large Language Model Supply Chain: Open Problems From the Security Perspective

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.712865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f5cf911-2f3e-4fde-abd8-4b3da1c59fb7 · outbound

This paper cites Owasp top 10 for large lan- guage model applications,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Owasp top 10 for large lan- guage model applications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.368572Z

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 fa00e130-5af1-4e56-b142-0d12f483dd8a · outbound

This paper cites Models are codes: Towards measuring malicious code poisoning attacks on pre-trained model hubs,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Models are codes: Towards measuring malicious code poisoning attacks on pre-trained model hubs,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.724769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dcf7180-59d9-4731-983f-d7f6183194e4 · outbound

This paper cites Agentpoison: Red-teaming LLM agents via poisoning memory or knowledge bases,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Agentpoison: Red-teaming LLM agents via poisoning memory or knowledge bases,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.351188Z

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 35484358-06e1-4b72-82a1-4fcfb04e8895 · outbound

This paper cites Human- imperceptible retrieval poisoning attacks in llm-powered applications,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Human- imperceptible retrieval poisoning attacks in llm-powered applications,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.735287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2754ebd7-b7d2-4da2-afc1-9d2030b2f0f7 · outbound

This paper cites An empirical study of artifacts and security risks in the pre-trained model supply chain,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities An empirical study of artifacts and security risks in the pre-trained model supply chain,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.742355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b886b0a-09af-444a-9b11-804bb774da6d · outbound

This paper cites An empirical study of pre-trained model reuse in the hugging face deep learning model registry,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities An empirical study of pre-trained model reuse in the hugging face deep learning model registry,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.333473Z

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 831358e6-66eb-4b1f-9051-f7cb9271dbe9 · outbound

This paper cites llama-index vulnerable to arbitrary code execution,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities llama-index vulnerable to arbitrary code execution,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.315883Z

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 451e7029-2373-42be-be81-ecf0aba9a0ce · outbound

This paper cites transformers has a deserialization of untrusted data vulnerability,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities transformers has a deserialization of untrusted data vulnerability,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.300752Z

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 5f0f6a22-1253-4446-8d5c-d5db0014bb37 · outbound

This paper cites Characterizing deep learning package supply chains in pypi: Domains, clusters, and disengagement,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Characterizing deep learning package supply chains in pypi: Domains, clusters, and disengagement,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.769736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6570030e-e195-40dc-944c-412963d9e5de · outbound

This paper cites tensorflow,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities tensorflow,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.286326Z

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 2aef4950-c564-4a64-94c4-9f93493eb88e · outbound

This paper cites pytorch,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities pytorch,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.270534Z

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 9ab5ef3e-7853-4228-86a7-52b0f96fa321 · outbound

This paper cites Towards understanding third-party library dependency in c/c++ ecosystem,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Towards understanding third-party library dependency in c/c++ ecosystem,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.784787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c421a37d-7e89-4682-a272-a6051699f8aa · outbound

This paper cites Demystifying the vulnerability propagation and its evolution via dependency trees in the npm ecosystem,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Demystifying the vulnerability propagation and its evolution via dependency trees in the npm ecosystem,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.789826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 744e3e6e-30b4-4992-890a-064c6ab21895 · outbound

This paper cites Understanding the threats of upstream vulnerabilities to downstream projects in the maven ecosystem,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Understanding the threats of upstream vulnerabilities to downstream projects in the maven ecosystem,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.794593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29ab2e1e-0a6e-4511-b83a-ae3e5c9b8fcf · outbound

This paper cites A survey on large language model based autonomous agents,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities A survey on large language model based autonomous agents,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.799329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4453bb5c-88e3-4c9e-9fc9-6092cc64c776 · outbound

This paper cites Large language model operations (llmops): Definition, challenges, and lifecycle management,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Large language model operations (llmops): Definition, challenges, and lifecycle management,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.243676Z

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 09dfe3d1-2969-4f59-84f1-530d8bfb43ce · outbound

This paper cites Large language models: A comprehensive survey of its applications, challenges, limitations, and future prospects,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Large language models: A comprehensive survey of its applications, challenges, limitations, and future prospects,

Reference 30

Resolution: verified exact; doi, observed 2026-08-16T05:26:06.077842Z

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 9220f049-5d10-42b0-bc97-e31782d45a09 · outbound

This paper cites an unresolved cited work.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:26:07.224053Z

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 f3051cc9-037c-48f2-9b0c-e674571fceb7 · outbound

This paper cites Registry,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Registry,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.206394Z

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 509cf569-5424-452c-9770-9d62e6591794 · outbound

This paper cites Deepseek-v3,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Deepseek-v3,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.189275Z

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 e067a8e8-a144-43da-b557-54366acb7372 · outbound

This paper cites Cve list,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Cve list,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.170558Z

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 99ecc367-5565-47e0-b291-233d42e88cc4 · outbound

This paper cites Github advisory database,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Github advisory database,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.154079Z

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 6b9af545-61f1-4eea-ac3c-f7e7a70b8a6e · outbound

This paper cites The world’s first bug bounty platform for ai/ml,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities The world’s first bug bounty platform for ai/ml,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.137414Z

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 65c03e29-a42e-4ac4-b05c-6ca81be20245 · outbound

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

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Demystifying LLM Supply Chain Vulnerabilities in the Wild: Distribution, Root Cause, and Real-World Impact

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.844663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6ad2d8d-1fb7-48cb-ba36-2c0b09e5df4d · outbound

This paper cites Vision: Identifying affected library versions for open source software vulnerabilities,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Vision: Identifying affected library versions for open source software vulnerabilities,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.850048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f73f8c6-380e-49c1-a6c4-c48e1b75e8e6 · outbound

This paper cites On the effect of transitivity and granularity on vulnerability propagation in the maven ecosystem,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities On the effect of transitivity and granularity on vulnerability propagation in the maven ecosystem,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.119825Z

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 5099c31f-306a-4520-ac4b-250b3a83fd32 · outbound

This paper cites Mitigating persistence of open-source vulnerabilities in maven ecosystem,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Mitigating persistence of open-source vulnerabilities in maven ecosystem,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:26:07.103325Z

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 4fee81ef-ee4a-4909-924f-480a5ddc27a8 · outbound

This paper cites Decoding web3: In-depth analysis of the third-party package supply chain,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Decoding web3: In-depth analysis of the third-party package supply chain,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.864532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f323c1-709d-4dcf-9ae5-f1b881d49a09 · outbound

This paper cites Peatmoss: A dataset and initial analysis of pre-trained models in open-source software,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Peatmoss: A dataset and initial analysis of pre-trained models in open-source software,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.869769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6f0d15d-69f8-45eb-bf29-39160c00b387 · outbound

This paper cites The ML supply chain in the era of software 2.0: Lessons learned from hugging face,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities The ML supply chain in the era of software 2.0: Lessons learned from hugging face,

Reference 43

Resolution: verified exact; doi, observed 2026-08-16T05:26:06.044287Z

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 076ebc6a-e36b-4f1b-9dfa-d623722c3a59 · outbound

This paper cites Empirical analysis of security vulnerabilities in python packages,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Empirical analysis of security vulnerabilities in python packages,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.879427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ca019b-a8e2-42ef-acb9-88d459303209 · outbound

This paper cites Demystifying dependency bugs in deep learning stack,.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Demystifying dependency bugs in deep learning stack,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.883882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92ddbb7e-c339-442f-9b70-67518f65c63f · outbound

This paper cites A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.889006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7b897e-2fbf-4966-bd9a-56fbff6c3fbc · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.691542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a5a13b-0298-44d9-bbd8-6b9a19b337fe · outbound

This paper cites Available: https://doi.org/10.1145/3597503.3639187.

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities Available: https://doi.org/10.1145/3597503.3639187

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T05:26:05.648403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d976c8fb-7479-4e45-bdce-834e0ff9409b · inbound

Long-range machine-learning potentials with environment-dependent charges enable predicting LO-TO splitting and dielectric constants cites this paper.

Long-range machine-learning potentials with environment-dependent charges enable predicting LO-TO splitting and dielectric constants Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-15T13:53:02.803305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eec49204-81c3-4ce1-a393-405c9c91dde7 · inbound

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

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-10T01:19:38.406062Z

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 7f6b8d2c-2dba-483a-ae77-3c81c5141816 · inbound

Decision-Level Hijacking: Injecting Cognitive Bias into Large Language Models via Bit-Flip Attacks cites this paper.

Decision-Level Hijacking: Injecting Cognitive Bias into Large Language Models via Bit-Flip Attacks Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T03:06:37.003504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.