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Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:01:49.618228Z

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 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=sha256:6534b03fe6eeae2459a4e4fe9dc296f08194db8772d7304b30a28f643d180746

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:ba7683ec216f5996050b6a9b0888778165df3b1d60f477aff6e89cbd6aff11fe

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:f982609628ff75e14ed2dee3ea0659dafd83812ba0940141639692f0a02e0118

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=sha256:1ccce0ffb8f2e625e09e678490ba39932a0c8c5d5cd76dc62f6db594c56c02a0

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=sha256:4fc6c39b46be1d506b97de9c51cf264a2d959b6427af5bfce6b63b1199ce2c89

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:26:51.781825Z digest=sha256:6152be5f36169000f776a4665cb9d9c628b6149817275c624bb6a9b925866b01