Paper Citation Record · LEDGER

Large Language Model Supply Chain: A Research Agenda

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.12736.

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

pith.paper-citation-record.v1
2404.12736 v3

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 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:56.430965Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:51:09.597122Z

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 0c66eb47-d4a3-441d-98f6-a29adf083b01 · inbound

Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation cites this paper.

Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation Large Language Model Supply Chain: A Research Agenda

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:56.430965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31590175-7f66-4005-8506-855c06e1b106 · inbound

Toward Understanding Bugs in Vector Database Management Systems cites this paper.

Toward Understanding Bugs in Vector Database Management Systems Large Language Model Supply Chain: A Research Agenda

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:03.464221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ed0373c-8829-4ee9-af58-d07dbd8f5f32 · 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: A Research Agenda

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T14:22:35.236922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 778410db-4e1b-4987-9894-85345d07bd09 · inbound

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework cites this paper.

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework Large Language Model Supply Chain: A Research Agenda

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:51:09.601100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ae602762-fe92-4d2e-bbde-4287b5375de1 · inbound

A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints cites this paper.

A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints Large Language Model Supply Chain: A Research Agenda

Reference 104

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:31:08.919413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 90d45ac6-eb22-43a5-9224-d255b17cdfb4 · 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: A Research Agenda

Reference 126

Resolution: unresolved; no resolver link, observed 2026-08-15T14:21:42.549432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.