Pith. sign in

Paper Citation Record · LEDGER

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2404.04167.

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

pith.paper-citation-record.v1
2404.04167 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:10:21.804416Z

measured 0 of 1 external citation measurements

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 b0a35dbc-ef40-4ec2-a201-379cd376a48a · inbound

LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical topics cites this paper.

LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical topics Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T04:52:54.664621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:52:54.664621Z digest=sha256:0450c26079bffbbbc16b5ff133faf2254fdc14e88afaffd3a3502ffd5a552f0e

Observation d769772f-f7ae-45e7-af1b-2cd9b499ffa7 · inbound

Chumor 2.0: Towards Benchmarking Chinese Humor Understanding cites this paper.

Chumor 2.0: Towards Benchmarking Chinese Humor Understanding Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T05:18:17.004366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:18:17.004366Z digest=sha256:d438dcef8f4787841c67e5f298ec31310361c9ce00c3c67bdb136426aa5e45e8

Observation ab185cee-e85d-4c20-95c8-b8a4405b4bce · inbound

OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training cites this paper.

OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T20:33:20.568106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:33:20.568106Z digest=sha256:1769c662da012da94fd1b18fe78bf9c2e9025376743ceddad535b3c209384175

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.

source=arxiv_source observed=2026-08-08T14:50:58.762014Z digest=sha256:4c10c3ba7bfa32cfb8ba15742f5c780b073455394d4e4b114a434aa375871a07

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:600e2380796d051baf36e2d49c4ddb382071d726ad9073fd4e4a4a169551d004

Observation 23e10fdc-682c-4bee-a1ab-9070da000dd7 · inbound

Ultra-FineWeb: Efficient Data Filtering and Verification for High-Quality LLM Training Data cites this paper.

Ultra-FineWeb: Efficient Data Filtering and Verification for High-Quality LLM Training Data Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Reference 2007

Resolution
unresolved
no resolver link, observed 2026-08-15T23:10:21.804416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:10:21.804416Z digest=sha256:e20611f02549ed5981b4f89276412df89a0acdea0dfe4d9b907a8b8e30b5a418

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.

source=pdf_text observed=2026-08-07T00:51:07.465349Z digest=sha256:0d4ff7f53ed54f2ebd690d7817146a44179ad8f222f044342e8d81df526504d7

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.

source=arxiv_source observed=2026-08-06T22:46:36.260283Z digest=sha256:0e01dd1c712b4ccaeb6e536dcf50d8352ee1cd5fbe4c14ac1e4c050c0527f361

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.

source=pdf_text observed=2026-08-06T13:00:17.927022Z digest=sha256:ad65acbf1de6d512a8fad22126a7957421591a4f03b7fbb7678b49f0a59d22a8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T20:38:23.433621Z digest=sha256:269af3bc35b8c9be9a3b9bf7d80fc9dee8ca1ee055b535abe851991d6369bcff

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T07:43:11.620446Z digest=sha256:ec2b891c95922cdc374ecd9959da922ed386126b4b09f5aef2732d0dbcc9c567

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.

source=pdf_text observed=2026-08-04T07:31:31.905663Z digest=sha256:2e60e5d53207467a6f87b508efab3b3322eb8006cdec7efa69c648a0a34c50db

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T23:38:38.127345Z digest=sha256:287736027aac5c07b202a7d05e25db46180905c100da40785e4ba5994983964a

Observation e0a63685-d932-44c7-852f-533547bf04e6 · inbound

Auditing Chinese Web-scale Corpora via Sampled BPE Token Statistics cites this paper.

Auditing Chinese Web-scale Corpora via Sampled BPE Token Statistics Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T19:39:56.188875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:39:56.188875Z digest=sha256:09fb12ea4739cb679acf8d6e44080c791936d102476d78ce815bf52194dd323d