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Paper Citation Record · LEDGER

MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.16212.

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

pith.paper-citation-record.v1
2503.16212 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:48:18.290664Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:31:04.053123Z

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 23fcb37e-e351-4a52-a362-3b532d8e281e · inbound

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law cites this paper.

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-16T00:48:18.290664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:48:18.290664Z digest=sha256:935e97be98c1f2d6752a3682b366fd0a03325c4b193a0abbe0c3b997c3b4eb1c

Observation fbf39674-3b65-4723-81e8-070f05e1e0f4 · inbound

A Survey on Collaborative Mechanisms Between Large and Small Language Models cites this paper.

A Survey on Collaborative Mechanisms Between Large and Small Language Models MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T22:18:53.842143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:18:53.842143Z digest=sha256:958eff809b0e917988a99f0f65c0b1c314aab5f904dee9f84a963997a0d545c4

Observation 1e37ae55-b68e-463e-9f41-4676aaf3bc6b · inbound

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment cites this paper.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T20:32:06.069675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:06.069675Z digest=sha256:2c3e780388d17c6153c69b2d4bd3c657ed912ec98a97b7b846a8c89809708332

Observation 04767874-cc53-40d4-8f29-3b2332b46b50 · inbound

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation cites this paper.

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T06:01:49.618228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:49.618228Z digest=sha256:75d5c7ad57b5bf295f67accf21b38d524046e99de5dc8f4f25f00934fdc6e97a

Observation 54129201-6111-4211-851a-87ceeab991c2 · inbound

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning cites this paper.

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:24.190807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:24.190807Z digest=sha256:87c1ed7ddb3080421c38abb9d4fbb9896857b594dc62bc91ce3879dff91154dd

Observation f3315be9-bdf9-4c7a-a7b7-0a90b1e52275 · inbound

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once cites this paper.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T17:35:31.583773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:35:31.583773Z digest=sha256:29ea94d251629b962f81208acb1d2c0eb5a5ef6c49a6b181a457b508508ce521

Observation 53c1ef05-4ca3-4a33-b9c0-7412ce87bb1c · inbound

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning cites this paper.

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T14:53:04.553391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:53:04.553391Z digest=sha256:7c75bf56478ff945de90f1cec947c4b9daac62abdea4b0d5282cb4a597cdb511

Observation d1b4a32a-67b7-4943-8dad-566d028d0702 · inbound

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure cites this paper.

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T05:43:54.255838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:43:54.255838Z digest=sha256:5fae17071294e11bfec771b49b676109d074fc0cccf78f9c098562eca4bdd8a8

Observation 9188ef31-6b7e-4164-a16f-e6fe1555a69f · inbound

Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories cites this paper.

Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:31:04.057219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T15:26:51.781825Z digest=sha256:15c10292949ed2a41dbb6f671bf44205a878c13c269f7606a1541d97ee1c2b42