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Paper Citation Record · LEDGER

Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.21218.

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

pith.paper-citation-record.v1
2410.21218 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:22:35.036578Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:17:48.115073Z

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 5e20c8c8-911f-4ba2-970b-00be330bbbdc · inbound

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

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T14:22:35.036578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:22:35.036578Z digest=sha256:3cc05a643ddb20113e42bd70859c1e945b7cd367073ce4a82593e49c0f433619

Observation caeded74-d25e-4ba3-af3b-9b69b89b9460 · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:19.324581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:19.324581Z digest=sha256:171b79de66ddd5067f0f25e08e5955d4ad0d0e741ba2eaf4565393cb6ed5dd41

Observation 963d6e4c-ae07-483b-a8a6-6e2ae165e6c8 · 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 Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:50.686112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:18:56.476698Z digest=sha256:9a578c97fabd382c24752e1dbe621361c061dd009e43770e9933551dc4aa333c

Observation ba113839-e73f-4ac2-b9d0-6e2da615e889 · inbound

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

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:23:20.680046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T11:21:33.012202Z digest=sha256:5084cbff012cc0a2bc5256753611668326412b25ba5eae67c43142f129458ec2

Observation 7a9a3292-e073-4432-b83a-945060e234d0 · inbound

AgentFlow: Building Agent Dependency Graphs for Static Analysis of Agent Programs cites this paper.

AgentFlow: Building Agent Dependency Graphs for Static Analysis of Agent Programs Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:17:48.117343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T09:17:05.390905Z digest=sha256:58a84784558f9ec0dccbae2d15622d718dcbdd25ed76337c6899b0c9836c6fc3