Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.04490.

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

pith.paper-citation-record.v1
2410.04490 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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:33:22.018563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:09:19.761353Z

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 39b4a48e-3855-4704-b846-32deb50979a3 · inbound

Malicious ML Model Detection by Learning Dynamic Behaviors cites this paper.

Malicious ML Model Detection by Learning Dynamic Behaviors A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:51:03.377951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cda18d74-c60a-4626-a026-cbadd7fbbe15 · inbound

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution cites this paper.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:09:19.763275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ccf9f59a-ca14-41c5-a0e6-a4095f7eee3d · inbound

A Large-Scale Measurement of AI Bill of Materials Completeness in Hugging Face Models cites this paper.

A Large-Scale Measurement of AI Bill of Materials Completeness in Hugging Face Models A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T18:40:15.415907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 788e046b-46af-4838-a942-57e1876bf66b · inbound

ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks cites this paper.

ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T17:51:45.697781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9597ac84-c938-4756-a278-f40b9a4148f8 · inbound

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response cites this paper.

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T02:40:29.439050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5cca33b-e34b-4e15-9214-34a7f78f3903 · inbound

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response cites this paper.

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-04T01:33:22.018563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.