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Paper Citation Record · LEDGER

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.02893.

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

pith.paper-citation-record.v1
2404.02893 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:39:36.940937Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:32.743236Z

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 b0635685-0424-427f-954b-7dae3584314e · inbound

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs cites this paper.

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T23:58:29.215547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T23:58:29.040819Z digest=sha256:ecdcf410d849714b03da3d669685795c1f693547d78a97519d580162a27edf2a

Observation 721c0176-7414-437d-b0a2-011c714ec572 · inbound

Mars-PO: Multi-Agent Reasoning System Preference Optimization cites this paper.

Mars-PO: Multi-Agent Reasoning System Preference Optimization ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T10:39:36.940937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:39:36.940937Z digest=sha256:0a3d846e5b4a5e3219dede2c81d1eb855277e3f2fab696269ffb9a9cb8d7d981

Observation b1cfb3a5-3345-450a-a9e7-aa6f0da57552 · inbound

Teaching LLMs to Refine with Tools cites this paper.

Teaching LLMs to Refine with Tools ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T06:05:31.224575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:05:31.224575Z digest=sha256:32a45de44ec68b49c6367f0ddc47b4f159c56874e118dfe9994b2238621a1d77

Observation 2a5a9bdd-4dc0-44db-a490-7088e8972f23 · inbound

System-2 Mathematical Reasoning via Enriched Instruction Tuning cites this paper.

System-2 Mathematical Reasoning via Enriched Instruction Tuning ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T05:58:55.188091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:58:55.188091Z digest=sha256:324e3a063079aac8dc864b9590558f52c6bff661819a6d2440a550d550bd8c2f

Observation 8711f226-4e21-4c89-851c-71bb01cdbaa9 · inbound

Diving into Self-Evolving Training for Multimodal Reasoning cites this paper.

Diving into Self-Evolving Training for Multimodal Reasoning ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T05:32:39.004817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:32:39.004817Z digest=sha256:074ccf506c33fc73992ab51cc6d2747d5e0f1e6ec838d5a1d11c77a39c808a53

Observation b5aa8858-ac99-4deb-8f1a-58b2c17e2e54 · inbound

DIVE: Diversified Iterative Self-Improvement cites this paper.

DIVE: Diversified Iterative Self-Improvement ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T22:49:13.499273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:49:13.499273Z digest=sha256:dde5f825429c9a9964d1ba5cce060b93d8054f4c7b6e743edbd47c2c621ca5e3

Observation bd4b49f9-6d42-4d52-b648-a20896383a4d · inbound

BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning cites this paper.

BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T21:57:50.801235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:57:50.801235Z digest=sha256:583aa919af6600fe2bcf3ae751da08c0a1553cae0744c8d633ca0817f5bf2c5c

Observation 507daac7-be1b-4e77-939b-ef08457eeaad · inbound

End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark: Leveraging Large Language Model Using Integrated Approach cites this paper.

End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark: Leveraging Large Language Model Using Integrated Approach ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T21:36:40.265989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:36:40.265989Z digest=sha256:0aca6c40b0baef71c09630596af09f4c141c0b9b90cc368b93ffdf2baf3029cd

Observation 364cfcd3-325c-43d4-b5d3-664a620662a5 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 219

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:32.746502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:303527b9e4456980ddf44418ff8098bf6e89b624a1ac17620afafceb8cd8de44

Observation 56fd3bc2-b8a7-4b40-9dd5-dd2e8b1d2671 · inbound

ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage cites this paper.

ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:18:13.903949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:18:13.903949Z digest=sha256:1f08d6f57beda2c3c703a449258cb89524c4e956c9782faee536b5f91a72fa84