Paper Citation Record · LEDGER

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2508.10169.

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pith.paper-citation-record.v1
2508.10169 v1

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measured 28 of 28 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-05T20:41:25.356035Z

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Reference resolution

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Outbound references

Observation 905881fa-99ac-40a4-a940-ea1ede876be5 · outbound

This paper cites All the baselines are evaluated using the open-source models released by their respective authors.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry All the baselines are evaluated using the open-source models released by their respective authors

Reference 1

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This paper cites Sft memorizes, rl generalizes: A comparative study of foundation model post-training.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Sft memorizes, rl generalizes: A comparative study of foundation model post-training

Reference 2

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This paper cites Openai o1 system card.�� ,.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Openai o1 system card.�� ,

Reference 3

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This paper cites Evaluation Prompt for General �General Problem� Please reason step by step and put your final answer (eg, A, B, C, D) within��boxed��, such as ”��boxed�A�”.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Evaluation Prompt for General �General Problem� Please reason step by step and put your final answer (eg, A, B, C, D) within��boxed��, such as ”��boxed�A�”

Reference 5

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Observation bcabbfe8-edd1-4d08-99ff-951c100f9c40 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Chain-of-thought prompting elicits reasoning in large language models

Reference 6

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This paper cites Towards large reasoning models: A survey of reinforced reasoning with large language models.�� , 2025a.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Towards large reasoning models: A survey of reinforced reasoning with large language models.�� , 2025a

Reference 7

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This paper cites It can match the peak performance of ORPO without any hyperparameter tuning or calculation on additional loss term.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry It can match the peak performance of ORPO without any hyperparameter tuning or calculation on additional loss term

Reference 8

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This paper cites Figure 8: Comparison between ORPO and LCPO on OlympiadBench.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Figure 8: Comparison between ORPO and LCPO on OlympiadBench

Reference 9

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This paper cites It is also a widely used dataset.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry It is also a widely used dataset

Reference 11

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Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Unresolved cited work

Reference 13

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This paper cites During training, TrEff adopts an additional normalized length reward similar to the advantage estimation of DeepSeek’s GRPO (Shao et al., 2024).

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry During training, TrEff adopts an additional normalized length reward similar to the advantage estimation of DeepSeek’s GRPO (Shao et al., 2024)

Reference 15

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Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Unresolved cited work

Reference 17

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This paper cites Furthermore, we integrate official evaluation scripts from the repositories of various datasets.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Furthermore, we integrate official evaluation scripts from the repositories of various datasets

Reference 18

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This paper cites We will leverage the definition of� θ��for further derivation.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry We will leverage the definition of� θ��for further derivation

Reference 21

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This paper cites Convergence achieved when: �θ��w�� θ��w�� m �� θ��w�� m � �� m �(22) For�� , requires� θ��w��.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Convergence achieved when: �θ��w�� θ��w�� m �� θ��w�� m � �� m �(22) For�� , requires� θ��w��

Reference 22

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This paper cites We consider the latter case as under-fit.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry We consider the latter case as under-fit

Reference 23

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This paper cites The overall cost of our method is low.Compare to offline methods (in Table 1), we need less data from rollout.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry The overall cost of our method is low.Compare to offline methods (in Table 1), we need less data from rollout

Reference 26

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Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Unresolved cited work

Reference 27

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Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Unresolved cited work

Reference 28

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This paper cites Solving for� ij yields �ij � � � �� −(α+β�−β� ) �� i �� j��(13) where��is the sigmoid function.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Solving for� ij yields �ij � � � �� −(α+β�−β� ) �� i �� j��(13) where��is the sigmoid function

Reference 1952

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Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry The dtype is bfloat16

Reference 2014

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This paper cites Proximal policy optimization algorithms.�� ,.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Proximal policy optimization algorithms.�� ,

Reference 2020

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This paper cites It is alse widely used for LLM evaluation (Ouyang et al., 2022; OpenAI, 2025; Liu et al.; 2025a).

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry It is alse widely used for LLM evaluation (Ouyang et al., 2022; OpenAI, 2025; Liu et al.; 2025a)

Reference 2021

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This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Understanding R1-Zero-Like Training: A Critical Perspective

Reference 2022

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This paper cites It is widely used for evaluation of LLM reasoning (Guo et al., 2025; Yang et al., 2024b; Team, 2025).

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry It is widely used for evaluation of LLM reasoning (Guo et al., 2025; Yang et al., 2024b; Team, 2025)

Reference 2023

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This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 2024

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This paper cites Ralph Allan Bradley and Milton E Terry.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Ralph Allan Bradley and Milton E Terry

Reference 2025

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This paper cites Following Du et al.

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry Following Du et al

Reference 2026

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