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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 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:47.344274Z

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T23:58:29.040819Z digest=sha256:da88f50c0453f2daa0d437aa89b52ab57361431d1d1b158ad6c14bf0a083fbf7

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:bc690787ac3947e79cbec6a815b2f6eb3e82ea9f0a2ff1c23f2bf1678c12b372

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=sha256:1a21e1723814fffb468758ac12523a17f61ad162065732f47023e9fda128e45f

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:ce5bb63322d62fae9f80ea5db5eef143bd3ab4ed2d10af69d4b170b5885596bb

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:b6a564323856f7e91364133bcb1a07763c4ef39fff9b4ea056cea945af92d6d7

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=sha256:3c25ef43df8b0a8f998e14d6be49671fe3903da41b17dd599b87aa4d17a083b3

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:c3de9881f075da52d19e28c3738e560be081a6fe0578dc476ceed3d934cc5728

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=sha256:2218e136b2a41fabd29285efa50b02e7b2a980a0f7748f3bd5dade624b73c8e8

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:4acfaad0ce1cee3c49045dce46c24d512f8a8f4139eafa6ff8945ed7d1f75ea9

Observation 6f2f54e3-9183-4e57-891c-002723535008 · inbound

VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models cites this paper.

VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T11:33:47.344274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:33:47.344274Z digest=sha256:698a250c6df3e8ac957f066aa7470410ad6ad5c94b28340399d1acc314b279e7

Observation 2ccad829-7663-4913-8d64-402cf4fadae7 · inbound

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans cites this paper.

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T21:00:59.163223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:00:59.163223Z digest=sha256:447974bae3c0514491319f6a2ee6ed5c2ca622a8a0394f8177e9a2511ea3c326

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=sha256:2a2e373321a4ea7dcbc5648410c5ee0e2f0c53aa5e0ea04bee2592aa503ff72f