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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:f056d89f69cb24308e3c4af2acf47404ea4eb801d028104c58cf97456dae6585

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

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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:fae3d24b73c0b3ccb300c7ab1f17a05db45b1df644cd1dc7ee89474b08bbf494

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=sha256:98796f1e19282966392aa4eb7a948fa956673fa7f8a9a172e748106623f00f4f

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=sha256:3e1ae1045181747a0f7452fd8166fc2a70d85dcebe0754d51e6a3bc4ccc0410d

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:ac496e62e2e8f12620d9b708ce9728a36d38a32d295ab68a884e4aab4fdbba11

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=sha256:746146be3aef7a1ea18b5318de1e87adc113797922fd9e2f49a5eaa48bfaae87

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:fa96cabf41f935982ebc50f32f7654cb8d3316b9c01ac97362811dccecc62b0d

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:e49d2abe763799657ab97b93aa290a752eceb227dcbbcca6d78e357a8c9156c1

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=sha256:1c056897029431dada0d9cc1b0c87993798e39199e0519fead46f29227cc858e

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:d52c6ba313da9355f32a0b5faa209d01bba6709ba91adb6949c65bea1918d79f

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:fe305478cebb6b49443a5f52691f62fe9bbd07d45e4023f7614a1f325e7b06a7

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=sha256:01983aa53ca7492eb372c05924be2f0e50aa28a298d86320b6186f7d821281bd

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=sha256:4c685e3c05c4b127f9792b8efd7a44f069ee2cef46bf978a6ffcd0a192318340

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=sha256:1c7d5f5eccb78a6ffea04ef96c42408c27a1ae5c11486232617ce415a26db65d

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:a61fa7645a2a8160f972b8f451e6edfd582e6003cf1da7952f709052c69aa88a

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=sha256:10a79730375a89a6680c33a627f5a83249879596f93f90331d89bcf136e2b5a9

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:a814ac3d2bbac8420dd9ca1f2052787035abcce30f92729a4fe6b3397637c93e

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=sha256:70dc7c7f0114dfa469edc52f1afe4b1c0f912df8aa7bc356d7bfb1034aef2635

Reference 19

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unresolved
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=sha256:74666004ade6f6d10c87c141f3ccc81a7f9057d9b14e4fcfd345ccd152488c32

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=sha256:0506bfa26076ae5b3b8dc407b6ff489e1f1b59d558c95c6430951e4ed981f16f

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=sha256:8b4fc8faf540752444d131c2b0c4a9e7d7b206479ac8b1025f9cb3b1831941d1

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.