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Paper Citation Record · LEDGER

Generative AI and Process Systems Engineering: The Next Frontier

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10977.

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

pith.paper-citation-record.v1
2402.10977 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:10:45.563857Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:53:07.965165Z

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 6a20483e-0e81-4ed7-bcfd-91f4a2976769 · inbound

The Systems Engineering Approach in Times of Large Language Models cites this paper.

The Systems Engineering Approach in Times of Large Language Models Generative AI and Process Systems Engineering: The Next Frontier

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-12T21:10:45.563857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:10:45.563857Z digest=sha256:3c710dc981f1137fc05aa81c32bea5654c368b679ef73fa7e3a9c5854cb6914c

Observation 8aeb83c0-979d-4286-ab4d-c25089d038b4 · inbound

CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation cites this paper.

CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation Generative AI and Process Systems Engineering: The Next Frontier

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:53:07.972330Z

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.

source=arxiv_source observed=2026-08-10T15:53:07.505602Z digest=sha256:a324f21ff042db1e8a13c11a31b2370098e94e9f126c2cd10b9a2bc66ca333e0