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Paper Citation Record · LEDGER

InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.07089.

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

pith.paper-citation-record.v1
2408.07089 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:58:59.177017Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:10:19.419953Z

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 bdcd38c5-f79f-4057-a19b-7d0a72bfd90a · inbound

Valley2: Exploring Multimodal Models with Scalable Vision-Language Design cites this paper.

Valley2: Exploring Multimodal Models with Scalable Vision-Language Design InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:10:19.427271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:10:19.273158Z digest=sha256:6a8f27766aa7a516bc5abc1d481132e6c2fb61b3a716a4cd4cfe42b392d96ed6

Observation b49b38cf-1ef0-4055-8d0f-d4118cce1abe · inbound

AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset cites this paper.

AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T10:58:59.177017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:59.177017Z digest=sha256:ab75861a53c323afb7758c346e6a9d3b3554b8c1bf2cdf9ec44b934ae4c01e75

Observation 19aa8dca-9c61-4744-8bf4-e19fb13cd2a3 · inbound

DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training cites this paper.

DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T10:39:31.330695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:31.330695Z digest=sha256:e9d65fff1e471d0038b2a1f1a107d8e7538bb36442920a9abc2f4d9eb18aeab0

Observation fe5866d2-194b-4ebb-9a3c-9d3b314333ff · inbound

Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study cites this paper.

Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:38.893490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.893490Z digest=sha256:9922ff0ec293c0c6581a3b91ff70947308f7956bcd69486a9c4535bbc559c472