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Paper Citation Record · LEDGER

A Survey on Large Language Models from Concept to Implementation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.18969.

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

pith.paper-citation-record.v1
2403.18969 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:13:04.892104Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T12:24:10.629270Z

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 91df02a5-d007-4f74-906e-1583cb9b9f14 · inbound

A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development cites this paper.

A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development A Survey on Large Language Models from Concept to Implementation

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T22:13:04.892104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:13:04.892104Z digest=sha256:b8bb53491b2ec606d2bd8d24619582f744f7f9f695aabd7f8fbc418d354cbc92

Observation 9f9dfd88-5bb9-49b9-b0a5-eb3911b9fd2c · inbound

Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in the Wild cites this paper.

Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in the Wild A Survey on Large Language Models from Concept to Implementation

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-21T12:24:10.631584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T12:23:02.046757Z digest=sha256:a4be2facf91a0b1629b60db05e7fcb362557797655baaf8904606360a9ff6a0c