Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:22:35.020047Z

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 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.

source=pdf_text observed=2026-08-05T14:22:35.020047Z digest=sha256:bc6bccaf4d4ad290b21941ddccdc45f25c914aaeaefbc2321e0e6f4538850c1c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:18:56.476698Z digest=sha256:aac3a4c6936eb1b6cdb41296ebb35aa226b9b0476c9a790ed69474f45beb39ab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T05:21:48.304232Z digest=sha256:ce7c69b44204f3fa4c0c8d6061644d845050e74327b9b77462d4a478347b7b5d