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Paper Citation Record · LEDGER

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2403.02884.

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

pith.paper-citation-record.v1
2403.02884 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:27:46.834897Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6de8ae2e-03b9-44ec-a1c8-60d64d7d8cbd · 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 MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T23:58:29.180880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T23:58:29.040819Z digest=sha256:4cd4693e51621e825632cf02e88df35b226c96e4a99fa252d5256f45a0575386

Observation 2ebd56aa-b62a-4749-8f5e-49bf3e1d3e58 · inbound

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models cites this paper.

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-09T19:27:46.834897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:27:46.834897Z digest=sha256:20f24f706f75c0b16fa4515f695a88b5bc8fee852fd2e4b023bd9eb4ad6fbf80

Observation 95ef10ee-acc7-4faf-b801-3a4096439203 · inbound

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning cites this paper.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.207513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.207513Z digest=sha256:3ba83c66acad411e6a6fe9933fa0369d7985f8fb80698f33c752813820c61a48

Observation 7aaed1f1-d83a-4dd6-a0e4-65618316da96 · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 156

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arxiv_id, observed 2026-05-19T08:02:23.773501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T08:02:23.002090Z digest=sha256:01551cc11718f0463cfbf48f584da6b16d0e67318c6395a45439c10c3f19fdb9

Observation 6a7030aa-b42a-4730-9853-349c3df3b941 · inbound

Learning to Reason at the Frontier of Learnability cites this paper.

Learning to Reason at the Frontier of Learnability MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:42:26.213553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T02:41:21.571824Z digest=sha256:85c33e052a4a24ebc341cbba57b91e01ef30254d03216f2b29ea6e6aca55294b

Observation ab3cd7c2-c07f-497e-9079-8349a5f866e9 · inbound

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation cites this paper.

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:18.560842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:39:18.560842Z digest=sha256:4dc877c5cb2abb3380014b797fb7bfbf4c4474216e2d3ea0ff7f8423eb01517f

Observation 1ae7f0cc-9c08-4187-9952-e789100a7e3c · inbound

Beyond Templates: Dynamic Adaptation of Reasoning Demonstrations via Feasibility-Aware Exploration cites this paper.

Beyond Templates: Dynamic Adaptation of Reasoning Demonstrations via Feasibility-Aware Exploration MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 15

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no resolver link, observed 2026-08-07T13:54:11.933052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:54:11.933052Z digest=sha256:51e948f9b112f1bab706da641005b1101a8451647674638b3712f761161fcb3a

Observation b60ab45a-17f9-4a91-aa56-43fdc2decc3a · inbound

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning cites this paper.

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:02.105712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:02.105712Z digest=sha256:f57622f6f90cb2f28603c67e6af28fd4b2c20e5b692512c488aae643706943b6

Observation e507e180-796e-4956-a856-a3e75787d30a · inbound

SciDA: Scientific Dynamic Assessor of LLMs cites this paper.

SciDA: Scientific Dynamic Assessor of LLMs MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 19

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no resolver link, observed 2026-08-07T00:40:19.025173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:19.025173Z digest=sha256:4e43a0eb9eca9d6f76bbfaf5d44b256349f99da7dcbf4c0515ccf24afa33aad4

Observation ada7517d-270b-424d-bb77-6823d4c674a6 · inbound

MDPO: Multi-Granularity Direct Preference Optimization for Mathematical Reasoning cites this paper.

MDPO: Multi-Granularity Direct Preference Optimization for Mathematical Reasoning MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T12:29:35.374285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:29:35.374285Z digest=sha256:77c74aa5caa10b16d4b7073228aac3070d848c5ee224413a791736209b1ed08d

Observation 43045b74-7746-4ac7-b03f-8e40d37c2796 · inbound

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices cites this paper.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:01.654628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:01.654628Z digest=sha256:8f751f084c1e7d009b295b55ecd3fd93bfc3058643047e4d8d4cfcf9e96ef1a8

Observation 3169f722-a7d6-44a2-b8a3-074f61705a2b · inbound

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? cites this paper.

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:38.465382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:53:38.465382Z digest=sha256:a47c4f3b8496d06c0e1513ae34b00dab3c87a46127b88551c11826aa0913ed4d

Observation 65ba52ef-e4f9-4669-ac64-25a5906fd243 · inbound

BlueLM-2.5-3B Technical Report cites this paper.

BlueLM-2.5-3B Technical Report MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:56.128215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:56.128215Z digest=sha256:ee324febc6410f78ab68fc695729eeba0dd8b062e4b244414e761850ccfeb087

Observation 37f4e5c0-67a5-4140-9bc8-ed8599f11c2e · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 177

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:17.721446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.721446Z digest=sha256:0ec79a7241d3b3271afa033b01bfa0c08cc2380a6c6a2644eb2c4307d9a5e4c2

Observation 9a5c1884-f92b-42d9-babd-9c5c711c1795 · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-05T10:34:46.268237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:34:46.268237Z digest=sha256:9a9c298c8a79f76ed78069646c86f2d2286e73eddf8e9a4f91cd7ac5b74ddc27

Observation 32501e5f-74a9-4ed8-a12a-cad2795841c6 · inbound

PiERN: Token-Level Routing for Integrating High-Precision Computation and Reasoning cites this paper.

PiERN: Token-Level Routing for Integrating High-Precision Computation and Reasoning MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T16:06:34.899129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T16:05:57.505355Z digest=sha256:fe8d8899eb6bcc493ca67ce690b36c4dac319bbc4c84e44346fcc6d3bce18b77

Observation 69a39fdc-d15c-4e4d-8c96-8b06b782605c · inbound

Beyond Accuracy: Diagnosing Algebraic Reasoning Failures in LLMs Across Nine Complexity Dimensions cites this paper.

Beyond Accuracy: Diagnosing Algebraic Reasoning Failures in LLMs Across Nine Complexity Dimensions MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:55:59.090715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:52:36.115298Z digest=sha256:090d46ffdf0cf4f7deaffa2953de1aa440ee2c2ead9035753fcbbf2ab2ec8aa3

Observation f1d7ef38-7019-470b-b198-901787ebbe30 · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:31:08.232458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T19:50:39.734124Z digest=sha256:7e95dbec8336412acbf5b79d7f964668ca3a78110aa783b1a2fca7c7b8e11dff

Observation 566754dc-d462-49dc-8b84-cabfaffbec99 · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:41:17.643673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T02:38:45.322351Z digest=sha256:868407463d9825bf2951aff96e290baeaa74ab276121a1548822cb26fe397d5d

Observation 4ddeae3b-501f-46fa-81e2-67d30f2785e5 · inbound

GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards cites this paper.

GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:36:47.630437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T05:59:00.005336Z digest=sha256:2bbb80317d7a563db812fd0795dc3179b5dc6a5f7b5f573d3e3f2330945f62f6

Observation 5ecb6933-ffac-42ca-acbf-c9510c2dfbee · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 229

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verified exact
arxiv_id, observed 2026-06-27T13:00:56.004133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:99c6b9375a521581ce3e8878742c7769722e9af80fab13cdc6d5432c4752f5ab

Observation b8a496db-b590-4c39-b9e6-b9482b707769 · inbound

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems cites this paper.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 28

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no resolver link, observed 2026-07-31T22:14:36.631933Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:14:36.631933Z digest=sha256:185cce509b94ec45106771ddbf17960d0b55bc605eef630f55ff8e39eb93020e