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Paper Citation Record · LEDGER

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization

As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2501.04858.

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

pith.paper-citation-record.v1
2501.04858 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:28:19.068007Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c673c992-5710-4785-a892-6415d11da931 · outbound

This paper cites Natural language processing,.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Natural language processing,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:18.969095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:18.969095Z digest=sha256:5ca1fef7aef30adb3ff39ad65dc3c4c6ed659cbe7a8aeef3df69340a70e9c756

Observation af16f566-5d9e-4c42-826f-b5b2c1c16b6c · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:18.974163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:18.974163Z digest=sha256:7a1b1e0bcc1300276c7ab70724080972bd593d6657cc0890a8faca63025a9a06

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:18.979193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:18.979193Z digest=sha256:130f9329c3dd10d6b98f7385a66da7378ea5b21db9c5a53d8076727782ec5048

Observation 81e18e33-75c9-4f1d-90e0-512c7757d48f · outbound

This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 4

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unresolved
no resolver link, observed 2026-08-10T21:28:18.984942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:18.984942Z digest=sha256:ef6b3e2ecdcc9ec0ec6a9159564353f53009ce06ed1dff454c60f9e0fa46990b

Observation 077b28b2-5a22-452c-bc2a-260eb576b9dd · outbound

This paper cites PersianLLaMA: Towards Building First Persian Large Language Model.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization PersianLLaMA: Towards Building First Persian Large Language Model

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:18.989788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:18.989788Z digest=sha256:3010747f2f53b7419559e35fb6eee6629675cf46d4c5e958e143dbb95a9ed684

Observation 366c7b05-6526-4855-97aa-c0fa17956d64 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 6

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unresolved
no resolver link, observed 2026-08-10T21:28:18.994819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:18.994819Z digest=sha256:cab1dd82601b523660afa9493a2e8cb071ed4aa3707e9c2e72a349c6291608b5

Observation 86689cf9-f787-47aa-89ed-df6bb9137f48 · outbound

This paper cites PQuAD: A Persian question answering dataset,.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization PQuAD: A Persian question answering dataset,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:19.416419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:19.000401Z digest=sha256:efa3810799e96f96e1c253f630c23d640689477e3502612e5857095bb256cdb9

Observation c53db4c3-a0e9-4f49-957a-152be9b50fee · outbound

This paper cites Searching for Best Practices in Retrieval-Augmented Generation.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Searching for Best Practices in Retrieval-Augmented Generation

Reference 8

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unresolved
no resolver link, observed 2026-08-10T21:28:19.005071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:19.005071Z digest=sha256:4220ddf2d88d3c3ff8f3e58ed83f0f4ca977ed30edeb081cbe6849163b4546b8

Observation 6782aecc-e328-40a2-9772-b44a66dc8004 · outbound

This paper cites Benchmarking large language models in retrieval- augmented generation,.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Benchmarking large language models in retrieval- augmented generation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:19.400819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:19.009751Z digest=sha256:bee460de6b3fab560a9221b677d4dfce21c96a8262cd596fc56f68ed9f75bbd1

Observation 009ecd85-d40a-4b56-96d4-892ab8d04887 · outbound

This paper cites CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

Reference 10

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unresolved
no resolver link, observed 2026-08-10T21:28:19.014386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:19.014386Z digest=sha256:036b622361628cbda6ad1d42b451368364d456767c5fe5053bc65af96eb5d625

Observation d828f03e-d545-49de-aa6f-58cb2bfabd0a · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Unsupervised Cross-lingual Representation Learning at Scale

Reference 11

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unresolved
no resolver link, observed 2026-08-10T21:28:19.018969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:19.018969Z digest=sha256:dae6fb76d8674d4ea8228ceab472362993afc0d9259bf072c9eb1fb1dd76a01a

Observation 2f24911c-2afb-46b6-85be-e616c88dc745 · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters,.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:19.385039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:19.023856Z digest=sha256:63cf1cd6ff097324b222843b517eec7698b6c1ddd33fa5ca95b35b52de69ab78

Observation 580e339b-f77f-456d-975a-d2c8316a8443 · outbound

This paper cites TookaBERT: A Step Forward for Persian NLU.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization TookaBERT: A Step Forward for Persian NLU

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:19.028498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:19.028498Z digest=sha256:f48c32e363140c17a182821ab5e0fe40e0b9b72ff3e74e3158697102f677b613

Observation a91a5543-5f4d-4b37-9770-5abded941bb7 · outbound

This paper cites AriaBERT: A Pre-trained Persian BERT Model for Natural Language Understanding,.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization AriaBERT: A Pre-trained Persian BERT Model for Natural Language Understanding,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:19.368311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:19.033304Z digest=sha256:6957bd1e75258c4652b2b46275a05e7da1ee9b3f81f8c547af1f18325de47027

Observation 7165d2a2-e3f4-4d06-b23e-757f3f15d018 · outbound

This paper cites Parsinlu: a suite of language understanding challenges for persian,.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Parsinlu: a suite of language understanding challenges for persian,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:19.352622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:19.037519Z digest=sha256:d26ab48348398b827ecf65eea2e280d9826696fbafb9037f925f15a516e76b11

Observation d535a8a0-1498-404c-aa3d-a2a02543f084 · outbound

This paper cites an unresolved cited work.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Unresolved cited work

Reference 16

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unresolved
raw_fallback, observed 2026-08-10T21:28:19.336714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:19.041916Z digest=sha256:340136a8d7ee3d8f96f824b5923bf3001a4318481e990ea72531a2b1f9b8be02

Observation 7dbca6fd-5d21-4373-b3ea-46dc4666a777 · outbound

This paper cites Language-agnostic BERT Sentence Embedding,.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Language-agnostic BERT Sentence Embedding,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:19.321242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:19.046013Z digest=sha256:826562687cbf0234f4f5849fb524575e335b7641ab5d6022f2a0254a9e11a171

Reference 18

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unresolved
no resolver link, observed 2026-08-10T21:28:19.050354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:19.050354Z digest=sha256:97f540052e4de7a78118e59a2666ad8e95c6414909a0d04842c584bb38ac3e58

Reference 19

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no resolver link, observed 2026-08-10T21:28:19.054847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:19.054847Z digest=sha256:a5ad6bbcf0388ec78d7154e9aa16071d2e4f7c2460218b54be327bdabcdccd69

Observation 79397f54-7842-45f0-864b-73a9b98592b2 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Gemma: Open Models Based on Gemini Research and Technology

Reference 20

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unresolved
no resolver link, observed 2026-08-10T21:28:19.059745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:19.059745Z digest=sha256:d45b088ad8201d100c26ac34fe785b579387f1539f93b5a2641bd116d91c14bf

Observation 79d70ddf-ca72-4738-bd72-a3026f0d50e3 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Gemma 2: Improving Open Language Models at a Practical Size

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:19.063756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:19.063756Z digest=sha256:e82b17a1b98ab29b8ea1febbaa97c66994c6feee893877ba2ba435c313b5fd98

Observation 084d567c-5f50-4b73-9e75-31029b86c518 · outbound

This paper cites RAGAs: Automated Evaluation of Retrieval Augmented Generation,.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization RAGAs: Automated Evaluation of Retrieval Augmented Generation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:19.305197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

No inbound Pith citation observations are available.