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Paper Citation Record · LEDGER

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning

As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2509.07238.

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

pith.paper-citation-record.v1
2509.07238 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:38:09.720726Z

measured 21 of 21 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

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  • verified fuzzy2
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20752fcf-d95c-4c68-8a6b-aa05603206af · outbound

This paper cites Systematic Evaluation of Optimization Techniques for Long-Context Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Systematic Evaluation of Optimization Techniques for Long-Context Language Models

Reference 1

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local_arxiv, observed 2026-08-04T22:38:10.051118Z

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=2026-08-04T22:38:09.641706Z digest=sha256:9e9d24093ce202a9f693724d4ab77544a1662a8de519e8d496c674494120666d

Observation 511bab22-5c23-4def-b9ef-fabc79e19abd · outbound

This paper cites Trimer: Balancing efficiency and accuracy in mathematical reasoning through a three-stage llm pipeline.ACL ARR 2025 Submission, 2025.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Trimer: Balancing efficiency and accuracy in mathematical reasoning through a three-stage llm pipeline.ACL ARR 2025 Submission, 2025

Reference 2

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raw_fallback, observed 2026-08-04T22:38:10.077832Z

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=2026-08-04T22:38:09.646465Z digest=sha256:c95a78b913137ebea9d9e40d71e3b3f3a0802f8253902faa7e37111248950d06

Observation 19869428-9084-4ec2-bc5c-3a0676ba0d7f · outbound

This paper cites BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.650570Z digest=sha256:74583e34b60e5ab84d43edd635bd7e87a045cd2be5ef72912ad065367ad7672a

Observation 238e251c-24b1-4d59-82da-23d5d43a8f14 · outbound

This paper cites Optimization Hyper-parameter Laws for Large Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Optimization Hyper-parameter Laws for Large Language Models

Reference 4

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local_arxiv, observed 2026-08-04T22:38:10.019370Z

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=2026-08-04T22:38:09.654884Z digest=sha256:2dfda1c3da9eefc5092b2edced5f42d0153b9718382a454cf89f3b9f16c57e7f

Observation dba467cc-bb5f-43a1-bfc2-f9d1239fa6ff · outbound

This paper cites Scalable llm math reasoning accel- eration with low-rank distillation.arXiv preprint arXiv:2505.07861, 2025.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Scalable llm math reasoning accel- eration with low-rank distillation.arXiv preprint arXiv:2505.07861, 2025

Reference 5

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arxiv_id, observed 2026-08-04T22:38:10.000579Z

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=2026-08-04T22:38:09.659038Z digest=sha256:45a31674c8d317b8c66224e1ded0ad9885570384491e73e799fa9128d8b26fa1

Observation 46fccf05-53ed-48f0-bd3b-a7666fc52115 · outbound

This paper cites Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.663186Z digest=sha256:5e2faf793bde69dca779843cf113436f4955f20ec965f8ea712ebb918f1fba6e

Observation d1bea2ee-e3b9-4522-8bad-da9e99780a2b · outbound

This paper cites Causal sufficiency and necessity improves chain-of-thought reasoning.arXiv preprint arXiv:2506.09853, 2025.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Causal sufficiency and necessity improves chain-of-thought reasoning.arXiv preprint arXiv:2506.09853, 2025

Reference 7

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no resolver link, observed 2026-08-04T22:38:09.667743Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T22:38:09.667743Z digest=sha256:e07af27a9db8c0571d104a34a94ecabea14d615ab57991782022515343641805

Observation 05a53867-a68e-40a1-8dca-8386453e0995 · outbound

This paper cites Parameter-efficient fine-tuning of large language models using semantic knowledge tuning.Nature Scientific Reports, 14:28341, 2024.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Parameter-efficient fine-tuning of large language models using semantic knowledge tuning.Nature Scientific Reports, 14:28341, 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:38:10.064308Z

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=2026-08-04T22:38:09.671287Z digest=sha256:a69e1451cccfa9557d3b63ee7936570a9f8729e97b8f6093dc3b27e96dea0f9d

Observation e63bdd9a-c6e8-44f5-9c6f-90ef31729b56 · outbound

This paper cites Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques

Reference 9

Resolution
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no resolver link, observed 2026-08-04T22:38:09.674796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.674796Z digest=sha256:0257d5f995ce2b17aeb5e921aae69121573227c854a9f3eb8a9542ef88f7ba84

Observation 60680105-a472-43c8-b7f0-5b77bd2c82f4 · outbound

This paper cites Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning

Reference 10

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no resolver link, observed 2026-08-04T22:38:09.678818Z

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Observation a4a652a3-d0b7-415b-8ea6-302ed9c82e49 · outbound

This paper cites Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 11

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Observation 7f7966e5-2a9a-41cc-9925-8ae92413889f · outbound

This paper cites Efficient LLM Collaboration via Planning.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Efficient LLM Collaboration via Planning

Reference 12

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no resolver link, observed 2026-08-04T22:38:09.686160Z

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source=pdf_text observed=2026-08-04T22:38:09.686160Z digest=sha256:5f10a7f548f86f169f3179fffd3559c501e707000f28315741fa15e19188c6a5

Observation 657682a9-2678-4812-9b3b-c97d4261db91 · outbound

This paper cites Large Language Model Agent for Hyper-Parameter Optimization.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Large Language Model Agent for Hyper-Parameter Optimization

Reference 13

Resolution
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no resolver link, observed 2026-08-04T22:38:09.690190Z

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source=pdf_text observed=2026-08-04T22:38:09.690190Z digest=sha256:9c9a20d60c55cd99b26de70fd08025f9d2121d9d57c3589504b8373b72f9af94

Observation 85123f9d-9b55-454f-810a-8ff63fcd2755 · outbound

This paper cites Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:38:09.883222Z

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=2026-08-04T22:38:09.693943Z digest=sha256:fdff9288dec9e6a7ab9753bc85f96babb7f5f81b2ce5154cd1571ffa3956aa42

Observation 18cef488-5607-4506-b996-fac7f1103f0c · outbound

This paper cites General Purpose Verification for Chain of Thought Prompting.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning General Purpose Verification for Chain of Thought Prompting

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:38:09.864429Z

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=2026-08-04T22:38:09.697619Z digest=sha256:ff17f6424ad197b0cee5cc68b141f76e54767c50ebf8c804e6bc8ed28e2cfec3

Observation 62b85f45-097d-4967-842e-f17da12dc59b · outbound

This paper cites LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought

Reference 16

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no resolver link, observed 2026-08-04T22:38:09.701285Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.701285Z digest=sha256:58aef8b6e0f563c23289e4577e0e56c1c6b5fd4c9438a89ba8bbfec1551efeef

Observation 1879073b-6003-4035-9ee2-eb66307caf54 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 17

Resolution
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no resolver link, observed 2026-08-04T22:38:09.705015Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.705015Z digest=sha256:d074a830257272ef15330978f17c6a24f455ef28b6e7633418bde3d6ffef8c0b

Observation c00f515d-f0fa-4f3f-9ca7-8bfcb4ff5411 · outbound

This paper cites Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:38:09.819013Z

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=2026-08-04T22:38:09.709180Z digest=sha256:aa755422e33249f0585a9be2923148b2682268732cc92c7e7934cc63ad6522ad

Observation 8d054633-66bc-4e3b-8232-a2af451a246c · outbound

This paper cites A Post-Training Enhanced Optimization Approach for Small Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning A Post-Training Enhanced Optimization Approach for Small Language Models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:38:09.800559Z

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=2026-08-04T22:38:09.713051Z digest=sha256:02fb95b5a15f955d87db8eccff0f4a45475f54a892f96095ceeaa04480b610d4

Observation bfcce564-04db-408a-81aa-fe6dc87471c8 · outbound

This paper cites Comat: Chain of mathematically annotated thought improves mathematical reasoning.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Comat: Chain of mathematically annotated thought improves mathematical reasoning

Reference 20

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arxiv_id, observed 2026-08-04T22:38:09.781214Z

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=2026-08-04T22:38:09.716824Z digest=sha256:d71db8398aebdadc6f7e9c8b78346cd565c4ae92f6467821e5960fbf821a4a97

Observation 26777e04-4dac-41cf-82cc-49bc4d32ffb1 · outbound

This paper cites Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.720726Z digest=sha256:5331541acee613c47426cd39ad7ab79ffdc4d3ea7518df5dd9edf274aa4c800e

Pith citing papers

No inbound Pith citation observations are available.