Paper Citation Record · LEDGER

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2504.12737.

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

pith.paper-citation-record.v1
2504.12737 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:27:37.710761Z

measured 15 of 15 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 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

15 of 15 outbound references displayed

verified exact0
verified fuzzy4
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 449aa391-3f87-4e95-9ed3-9cf8af29e199 · outbound

This paper cites Belle: Be everyone’s large language model engine.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model Belle: Be everyone’s large language model engine

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:27:37.973858Z

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.

Observation 062172aa-67da-4b70-b96d-1b755b5e5aa5 · outbound

This paper cites Language Models are Few-Shot Learners.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model Language Models are Few-Shot Learners

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.641280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 656e11d8-2ffa-4e0b-aac4-6ab56a362aab · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model PaLM: Scaling Language Modeling with Pathways

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.646454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bb17f73-3ea0-4b90-b565-39a645fa067c · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model Scaling Instruction-Finetuned Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.652408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d9283dc-faa7-44c0-b290-3e7209530f36 · outbound

This paper cites Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.657990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 678bdeac-8df0-4706-a690-277f76037804 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model QLoRA: Efficient Finetuning of Quantized LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.663761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8b806b9-f07a-43ce-b4b4-4e3d0601c82b · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.669764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfef3b31-f744-4e77-8631-38927523246a · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.674941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05c67e83-088c-4ea6-861e-2339d9227a59 · outbound

This paper cites Lawyer llama technical report, 2023.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model Lawyer llama technical report, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:27:37.958313Z

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.

Observation 5210d545-d7b5-4b10-8b4b-99f55e6f13b4 · outbound

This paper cites Opt-iml: Scaling language model instruction meta learning through the lens of generalization,.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model Opt-iml: Scaling language model instruction meta learning through the lens of generalization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:27:37.940899Z

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.

Observation 73888222-8379-4f44-87d5-e92d977c83e3 · outbound

This paper cites Scaling Laws for Neural Language Models.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model Scaling Laws for Neural Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.695805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85269e9e-b869-447a-bc18-baea2e02eec6 · outbound

This paper cites chat-dataset-baseline.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model chat-dataset-baseline

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:27:37.923810Z

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.

Observation 126d7044-c50f-4d28-b1b3-44b7491a905f · outbound

This paper cites Hashimoto.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model Hashimoto

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.706038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 581b3d89-e996-4c83-b784-9c0cfa72f40d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model LLaMA: Open and Efficient Foundation Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.710761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16e3e300-5585-4cd5-8e95-ae318729557e · outbound

This paper cites OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization.

Chinese-Vicuna: A Chinese Instruction-following Llama-based Model OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:37.690212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.