Paper Citation Record · LEDGER

LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.14558.

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

pith.paper-citation-record.v1
2402.14558 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:29:21.329803Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:34:39.016981Z

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 72d5662e-6546-49d0-911c-0ff3e65ef4b2 · inbound

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives cites this paper.

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:21.329803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cbec3eb-d26b-4798-9542-50dde120681f · inbound

Agent Ideate: A Framework for Product Idea Generation from Patents Using Agentic AI cites this paper.

Agent Ideate: A Framework for Product Idea Generation from Patents Using Agentic AI LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:10.715864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9bc1888-841f-44ff-80ba-0ac02858fa8d · inbound

Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know" cites this paper.

Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know" LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T04:28:06.642818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb4e9ea3-2bcb-45fd-946f-dbc56dc1c580 · inbound

A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations cites this paper.

A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:34:39.018514Z

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.