Paper Citation Record · LEDGER

Large Language Model Supply Chain: Open Problems From the Security Perspective

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.01604.

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

pith.paper-citation-record.v1
2411.01604 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:26:05.712865Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:44:45.745153Z

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 ac9564ca-782a-4cdf-87ad-1c170d792bcd · inbound

Unveiling Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities cites this paper.

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 c4ecd9d8-f779-4ac5-98bf-0502fc84f25b · inbound

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories cites this paper.

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories Large Language Model Supply Chain: Open Problems From the Security Perspective

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T14:22:35.020047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91e254e3-1138-4adc-b695-2056d4002ac1 · inbound

Embedding Poisoning: Bypassing Safety Alignment via Embedding Semantic Shift cites this paper.

Embedding Poisoning: Bypassing Safety Alignment via Embedding Semantic Shift Large Language Model Supply Chain: Open Problems From the Security Perspective

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T16:21:58.799851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b84e13e-2922-45ce-b400-296ddd0629b9 · inbound

The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training cites this paper.

The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training Large Language Model Supply Chain: Open Problems From the Security Perspective

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.601773Z

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 d24fb7c2-3fe8-4180-8a02-d4e48adfc0ab · inbound

Your Space is My Zone: Demystifying the Security Risks of AI-Powered Applications on Pre-Trained Model Hubs cites this paper.

Your Space is My Zone: Demystifying the Security Risks of AI-Powered Applications on Pre-Trained Model Hubs Large Language Model Supply Chain: Open Problems From the Security Perspective

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:44:45.746849Z

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 9753bc53-40aa-4071-9f09-a605e9f31257 · inbound

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models cites this paper.

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models Large Language Model Supply Chain: Open Problems From the Security Perspective

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T14:21:42.117509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.