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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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 7de80d4a-defe-43f6-bf56-9d3479b2fbc3 · inbound

An Empirical Study of Safetensors' Usage Trends and Developers' Perceptions cites this paper.

An Empirical Study of Safetensors' Usage Trends and Developers' Perceptions A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:13.830628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:13.830628Z digest=sha256:ba77e02e9fba9827f27a5b4e5151ed94033abc2c42090e049e748255a8e5ae90

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

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

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.

source=pdf_text observed=2026-08-16T05:26:05.889006Z digest=sha256:0f0d3db8e3bd59a93d28d7d1426271441b10ba4b0e0ae48459402eb478feaf12

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T02:44:55.161515Z digest=sha256:7a9e4ae62a1183526cac787319fa514121ccd1e8d2bbb7cdecdfe9120e7ccca9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:d9378fbfc4f022985a0fc3cca2ae8596d507a41e14606cb0b86159b3b0ccc9ef

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.

source=pdf_text observed=2026-08-01T18:40:15.415907Z digest=sha256:44dc3a5cb7141d8a320c05ccce1f6a8f2ef769bd622cca1c5efb57293af41e24

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.

source=pdf_text observed=2026-08-01T17:51:45.697781Z digest=sha256:01cd800154433769eb756d32e3b7880ffbff9477388faa6d820829a4341d7908

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.

source=pdf_text observed=2026-08-01T02:40:29.439050Z digest=sha256:6ab7ce1570267cefda11371ef87dc79999503ad4241f869e92b2202329ebe11c

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.

source=pdf_text observed=2026-08-04T01:33:22.018563Z digest=sha256:c09298f49061960159fb2e637ea0e9c04592a78f6c9549e4207cdb67f3074a99