Paper Citation Record · LEDGER

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.18058.

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

pith.paper-citation-record.v1
2403.18058 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:35:28.172510Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T00:03:55.636212Z

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 257e24d1-331d-474c-96bc-3f2f8c2464e0 · inbound

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites cites this paper.

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:58:59.330868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a5d2d6b-9641-4569-be44-208fb3d3ed81 · inbound

Scaling Synthetic Data Creation with 1,000,000,000 Personas cites this paper.

Scaling Synthetic Data Creation with 1,000,000,000 Personas COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.640199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6406980e-5d07-4bc4-ac78-89510382cc61 · inbound

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding cites this paper.

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:09:22.255671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e6e5aea-0bb6-4f11-966b-434ae2c153ab · inbound

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis cites this paper.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T00:35:28.172510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09662989-9801-4a1f-a2ad-27e8eee8589a · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:06.325426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea004250-d416-4924-ade8-c31ed815c17a · inbound

CCI4.0: A Bilingual Pretraining Dataset for Enhancing Reasoning in Large Language Models cites this paper.

CCI4.0: A Bilingual Pretraining Dataset for Enhancing Reasoning in Large Language Models COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:14.511955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4933bdd1-80bb-4d03-8865-fc2c7e54e7df · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 150

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:05.691647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa30c448-50f2-4743-8731-3b8be323f513 · inbound

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models cites this paper.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:05.709815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.