Pith. sign in

Paper Citation Record · LEDGER

PersianLLaMA: Towards Building First Persian Large Language Model

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2312.15713.

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

pith.paper-citation-record.v1
2312.15713 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:06:07.486621Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:05:29.147897Z

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 1f08ceda-f89f-4268-b2e3-d6d4b90b235d · inbound

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages cites this paper.

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages PersianLLaMA: Towards Building First Persian Large Language Model

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T13:06:07.486621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:06:07.486621Z digest=sha256:17704ff28a31dd4a2b7c5f5ff25495e539a97314404849222a5b5b5c6c2332f1

Observation d53f5a5f-b268-4380-a3ae-942837047f0b · inbound

Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges cites this paper.

Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges PersianLLaMA: Towards Building First Persian Large Language Model

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:05:29.150478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T07:05:16.608690Z digest=sha256:003a5697ecc2219c8fb3368bb66027c240ee1d4526c372e9902985d1c7886e6b

Observation 6e0f5308-059a-4cd0-8d4f-29615689ad98 · inbound

Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation cites this paper.

Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation PersianLLaMA: Towards Building First Persian Large Language Model

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T13:14:31.785482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:14:31.785482Z digest=sha256:ba0d52508a3bb8e0d1b9ba162824951aad4a8dde227919a5b82538d02dfbacda

Observation b703a96a-d32e-49ea-8089-693a395cc08c · inbound

CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries cites this paper.

CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries PersianLLaMA: Towards Building First Persian Large Language Model

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T22:36:03.693690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:03.693690Z digest=sha256:bc1915d51cd19a43d4dd0af70ccaf9bd6f40a4de09315f1856eeb84887e2d45d

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

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

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=sha256:58f18e860b3fd2f8c5b77b7bf3081ef4397e68d9e374135799278624e3cc5173

Observation 8e20b12e-65db-4f6e-9795-900105eb0fe0 · inbound

Towards culturally-appropriate conversational AI for health in the majority world: An exploratory study with citizens and professionals in Latin America cites this paper.

Towards culturally-appropriate conversational AI for health in the majority world: An exploratory study with citizens and professionals in Latin America PersianLLaMA: Towards Building First Persian Large Language Model

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T20:48:00.834441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:48:00.834441Z digest=sha256:fd9abdf9d227d63decb4aeb08c3d852938c8c5d4e7543a58b8cd212bab3ddb0b

Observation 2f89a749-093f-4904-9ac1-024f051c94e5 · inbound

Structure Matters: Evaluating Multi-Agents Orchestration in Generative Therapeutic Chatbots cites this paper.

Structure Matters: Evaluating Multi-Agents Orchestration in Generative Therapeutic Chatbots PersianLLaMA: Towards Building First Persian Large Language Model

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:00:12.810063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T17:59:40.966701Z digest=sha256:59ec69056715559d9f92e829e353e5fd806e14ee7717bb79b328695a4df76cb7