Paper Citation Record · LEDGER

Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.07705.

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

pith.paper-citation-record.v1
2408.07705 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 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:38:50.121246Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:07:19.875775Z

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 244fffb5-2a00-421c-b799-046359756e4c · inbound

Large Language Models for Knowledge Graph Embedding: A Survey cites this paper.

Large Language Models for Knowledge Graph Embedding: A Survey Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:50.121246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6400443a-5a82-40ca-a72f-ebc664c96f20 · inbound

LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion cites this paper.

LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:07:19.880880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0adbc7bf-c92b-46fd-8aef-5ec6460394cf · inbound

From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge Bases cites this paper.

From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge Bases Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:20.802453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e93617a1-f691-4c20-860e-e540ef269c6d · inbound

Structural Consequences of Policy-Based Interventions on the Global Supply Chain Network cites this paper.

Structural Consequences of Policy-Based Interventions on the Global Supply Chain Network Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:01.403021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 80ac8d3c-1dce-4c09-9600-8c1035a01469 · inbound

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training cites this paper.

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:46:04.094071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b05f74e0-712c-431f-8344-2f817096f19a · inbound

Reconstructing temporal multi-relational firm networks at scale using large language models. The case of the semiconductor industry cites this paper.

Reconstructing temporal multi-relational firm networks at scale using large language models. The case of the semiconductor industry Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T19:37:43.750153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.