Paper Citation Record · LEDGER

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.08643.

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

pith.paper-citation-record.v1
2506.08643 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:10:47.738852Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy14
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27882341-1330-4df4-a831-7b405c940710 · outbound

This paper cites an unresolved cited work.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:10:48.172701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58cdae0f-28af-4945-9fb0-aee46b596d3b · outbound

This paper cites Deep Reinforcement Learning from Human Preferences.Advances in neural information processing systems, 30, 2017.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Deep Reinforcement Learning from Human Preferences.Advances in neural information processing systems, 30, 2017

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:48.161122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfdf5909-7334-42f5-a450-a7b5d1f9b5c4 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.630917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbfc23ff-a6e2-47f1-b1dc-e4eb0066af96 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.635344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95de08ac-82bd-4bc9-aeae-fa829c9d921b · outbound

This paper cites Self-Exploring Language Models: Active Preference Elicitation for Online Alignment.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.640424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61805581-0aa0-46b5-bd5d-072e76c637b2 · outbound

This paper cites Rlhf workflow: From reward modeling to online rlhf, 2024.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Rlhf workflow: From reward modeling to online rlhf, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:48.147719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62ebd2c6-aafd-4c20-a118-1df51773acc9 · outbound

This paper cites Iterative reasoning preference optimization, 2024.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Iterative reasoning preference optimization, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:48.135347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ea0c8e9-79b3-4378-886f-c3d82cd5f275 · outbound

This paper cites Self-consistencyimproveschainofthoughtreasoninginlanguage models, 2023.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Self-consistencyimproveschainofthoughtreasoninginlanguage models, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:48.123023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9dfa1c39-c779-4b98-b9b2-af5917958369 · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion, 2023.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:48.111650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2b5542a-cc9a-49fd-97c4-98d0d2093555 · outbound

This paper cites Self-refine: Iterative refinement with self-feedback, 2023.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Self-refine: Iterative refinement with self-feedback, 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:48.099223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a094e9af-d346-4177-9362-b7fa7e2527f2 · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.664602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf393f2-5050-43b1-a125-9ebde517fe12 · outbound

This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.668467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 987e069c-93af-41e1-af18-175339f600f2 · outbound

This paper cites Let’s verify step by step.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Let’s verify step by step

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.672230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dec1e55-ad11-4e91-9a5c-75e7c0d30d8c · outbound

This paper cites Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.676429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac9d8ef4-c215-4eb4-a48f-6cdc67a58d81 · outbound

This paper cites Proximal Policy Optimization Algorithms, 2017.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Proximal Policy Optimization Algorithms, 2017

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.680150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beddbc8d-7e06-4ce8-be57-2db901814d09 · outbound

This paper cites OpenAI o1 System Card.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models OpenAI o1 System Card

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.683724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad9307ea-2f30-4894-b58f-e8a7cbacd983 · outbound

This paper cites Introducing openai o3 and o4-mini.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Introducing openai o3 and o4-mini

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:48.065812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74987d55-c4a2-49a2-a2ef-ccb0736a1bd5 · outbound

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

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.692219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 326c78ae-8728-4f82-a649-650eb2bd7896 · outbound

This paper cites Least-to-most prompting enables complex reasoning in large language models, 2023.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Least-to-most prompting enables complex reasoning in large language models, 2023

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.695845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b271064-6b92-40f7-b857-bd7ba9331e1c · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.699915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a3e8e7-6e2e-4467-9b44-58a8ec10ad32 · outbound

This paper cites University of Michigan Press, 1975.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models University of Michigan Press, 1975

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:48.045880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da481354-9ed3-460d-85e9-a803f3ad467d · outbound

This paper cites an unresolved cited work.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:10:48.034197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d61b798-5180-475c-9188-4a74497663fb · outbound

This paper cites Onevolution,search,optimization,geneticalgorithmsandmartialarts: Towards memetic algorithms.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Onevolution,search,optimization,geneticalgorithmsandmartialarts: Towards memetic algorithms

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:48.022055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4778488d-0245-4a4e-8f9a-8ea03269eb1b · outbound

This paper cites Memetic computation—past, present & future [research frontier].IEEE Computational Intelligence Magazine, 5(2):24–31, 2010.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Memetic computation—past, present & future [research frontier].IEEE Computational Intelligence Magazine, 5(2):24–31, 2010

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:48.010168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26ea52d5-a577-43f9-92ca-c25801b56d7b · outbound

This paper cites Omran, A.P.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Omran, A.P

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:47.997441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5904a2f6-ff94-4461-ac0c-1406a6003c47 · outbound

This paper cites Evolving code with a large language model, 2024.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Evolving code with a large language model, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:47.985176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c959754-f7ed-4857-b1bf-b5d850e2932a · outbound

This paper cites Evolving deeper llm thinking, 2025.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Evolving deeper llm thinking, 2025

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:47.973970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2c1c3d80-f312-4fc0-ba9c-e86e7df256c8 · outbound

This paper cites Llmrefine: Pinpointing and refining large language models via fine-grained actionable feedback, 2024.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Llmrefine: Pinpointing and refining large language models via fine-grained actionable feedback, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:47.961634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6276d0b8-982b-4b02-92cc-5e67f32e6b2e · outbound

This paper cites What makes a reward model a good teacher? an optimization perspective.arXiv preprint arXiv:2503.15477, 2025.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models What makes a reward model a good teacher? an optimization perspective.arXiv preprint arXiv:2503.15477, 2025

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.729198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74b1f979-cc8e-47cb-b73b-fd3f452de62d · outbound

This paper cites Scaling laws for reward model overoptimization.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Scaling laws for reward model overoptimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.732461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71434e16-9a23-4888-9167-faa6a70701b9 · outbound

This paper cites Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement Learning.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.735478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae79e4c-a56b-4df0-a91f-d32ef34bc8cd · outbound

This paper cites Confronting Reward Model Overoptimization with Constrained RLHF.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models Confronting Reward Model Overoptimization with Constrained RLHF

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.738852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.