Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2404.04167.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T14:50:58.762014Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T23:42:49.507726Z
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 7923e5ec-d4d7-4a53-99e5-0e69aaacb894 · inbound
Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM cites this paper.
Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:50:58.762014Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3f26f39-f6a6-4a3c-818a-4695c5cb1058 · inbound
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Reference 149
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:05:16.321054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1b191495-ef40-4e73-b6e9-507e54af58d9 · inbound
Detection, Classification, and Mitigation of Gender Bias in Large Language Models cites this paper.
Detection, Classification, and Mitigation of Gender Bias in Large Language Models Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:51:07.465349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96fee737-29a8-477b-b0ed-85d088c6a9fc · inbound
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language cites this paper.
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:46:36.260283Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9460bc0c-222d-4bfc-bfe5-cf7b503778f8 · inbound
Do Large Language Models Understand Morality Across Cultures? cites this paper.
Do Large Language Models Understand Morality Across Cultures? Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:00:17.927022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e2fd9ed-40b1-4398-9a89-e2af331044e9 · inbound
EvalMORAAL: Interpretable Chain-of-Thought and LLM-as-Judge Evaluation for Moral Alignment in Large Language Models cites this paper.
EvalMORAAL: Interpretable Chain-of-Thought and LLM-as-Judge Evaluation for Moral Alignment in Large Language Models Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T20:40:36.167028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6c82a744-062e-4ffe-8445-7d0daa394892 · inbound
Scaling Latent Reasoning via Looped Language Models cites this paper.
Scaling Latent Reasoning via Looped Language Models Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T07:43:11.888797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 17abc45a-3f00-4a13-947b-2e4695930bcc · inbound
Scaling Latent Reasoning via Looped Language Models cites this paper.
Scaling Latent Reasoning via Looped Language Models Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:31:31.905663Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00ab22a5-f777-4d28-8335-3caaed7894f3 · inbound
Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning cites this paper.
Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T23:42:49.509029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.