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Paper Citation Record · LEDGER

Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.12462.

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

pith.paper-citation-record.v1
2502.12462 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:58:05.723851Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T18:42:36.997715Z

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 ea856c4a-9adc-42f6-9e65-55ca4a2bea41 · inbound

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs cites this paper.

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T14:39:44.464111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:39:44.464111Z digest=sha256:de914033418f4b2585dafc59ce0a74c978716c178bd0e58b5367760b3310f197

Observation ae0d0a6b-8274-48fb-8d7c-b41f9a5a2064 · inbound

RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search cites this paper.

RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:42:37.000294Z

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=pdf_text observed=2026-05-14T18:41:16.653112Z digest=sha256:2e86cf9326a519cff22917f113ef8b7cd15fdfcf4f43104579d94f5926d5962e

Observation 6351fa55-c00c-4ec0-8391-912d5ffeb018 · inbound

FLARE: Few-shot Learning-based Adaptive Reflective Engine cites this paper.

FLARE: Few-shot Learning-based Adaptive Reflective Engine Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T14:58:05.723851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:58:05.723851Z digest=sha256:d4a6f41ec46451e05854c833037ef600c1bf666c26d5831ae8c44196098690a9