Paper Citation Record · LEDGER

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

As of 7 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 5 inbound Pith citation observations for arXiv:2506.14234.

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

pith.paper-citation-record.v1
2506.14234 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:15.002601Z

measured 80 of 80 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:23:55.127390Z

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

75 of 75 outbound references displayed

verified exact4
verified fuzzy18
unresolved52
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6dada8f0-83c4-4017-be55-270078263ca7 · outbound

This paper cites OpenCodeReasoning: Advancing Data Distillation for Competitive Coding.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team OpenCodeReasoning: Advancing Data Distillation for Competitive Coding

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.685913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c614cfe-0377-49cd-9bdb-0003dda5b9fd · outbound

This paper cites Claude 3.7 Sonnet, 2025.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Claude 3.7 Sonnet, 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:16.056513Z

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 819a4718-773a-4f62-9f45-eec908982a71 · outbound

This paper cites Program Synthesis with Large Language Models.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Program Synthesis with Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.695286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d62f35-e588-42a8-9fd8-1836b308f47e · outbound

This paper cites an unresolved cited work.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.700237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e22ae7c6-cdf6-4854-8c7b-0992b3c22e55 · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.704582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a4dac31-a18f-4590-9361-716a4bc0b4a8 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.709621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69df6864-fb2e-41c9-8eab-838e31d29fa5 · outbound

This paper cites Gemini 2.5, 2025.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Gemini 2.5, 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:16.034884Z

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 2d82cbb1-1e1b-4715-8e9d-57a01c95bebc · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.718454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42a667ce-e449-45d0-ba15-feedfbdf9b35 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.723062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23915f7d-c761-4521-afa8-1fcd3a59be27 · outbound

This paper cites When One LLM Drools, Multi-LLM Collaboration Rules.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team When One LLM Drools, Multi-LLM Collaboration Rules

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.727426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e83c5b-2e21-4c93-869b-50950cced3e0 · outbound

This paper cites Pal: Program-aided language models.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Pal: Program-aided language models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.732097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05224726-4f85-4934-aa07-8d6c13110327 · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.735972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee30c81f-4607-456d-896a-e8ce8d693654 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.740298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbdd7b2a-40a4-4553-ae5a-4a39f45cc861 · outbound

This paper cites REALM: Retrieval-augmented language model pre-training.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team REALM: Retrieval-augmented language model pre-training

Reference 14

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T00:24:15.584929Z

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 7d7eb2a5-0aab-48ec-a691-c570099d8a73 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Measuring mathematical problem solving with the math dataset

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.749543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c26ebfef-f9c4-44b2-a3a9-b65c834b8f6f · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.753749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d8ca278-08f4-4d5d-b99e-fef339d8dd60 · outbound

This paper cites Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.757983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd98ed11-af32-45d9-b728-8207799eaf3e · outbound

This paper cites Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.761872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 260c8893-0754-4ea7-8691-84911dd32639 · outbound

This paper cites Open-RAG: Enhanced retrieval augmented reasoning with open-source large language models.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Open-RAG: Enhanced retrieval augmented reasoning with open-source large language models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.766050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c6d86c7-331f-4217-9b69-3bed237e7baa · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.774440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44dc2b46-7068-46ce-b6e2-151a82dd115f · outbound

This paper cites XCodeEval: An execution-based large scale multilingual multitask bench- mark for code understanding, generation, translation and retrieval.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team XCodeEval: An execution-based large scale multilingual multitask bench- mark for code understanding, generation, translation and retrieval

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.984537Z

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 9789bd71-73f3-4c62-9164-0d03d6fc0e1f · outbound

This paper cites Kimi k1.5: Scaling reinforcement learning with llms, 2025.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Kimi k1.5: Scaling reinforcement learning with llms, 2025

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.786554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47481de7-d756-4221-9be9-7173737d6d1a · outbound

This paper cites A systematic survey and critical review on evaluating large language models: Challenges, limitations, and recommendations.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team A systematic survey and critical review on evaluating large language models: Challenges, limitations, and recommendations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.790766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db662056-c866-49d9-a394-9e3c49e2eb39 · outbound

This paper cites Techniquerag: Retrieval augmented generation for adversarial technique annotation in cyber threat intelligence text,.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Techniquerag: Retrieval augmented generation for adversarial technique annotation in cyber threat intelligence text,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.955342Z

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 9e45a3de-a8e3-4184-858f-4bf72d583df2 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.941644Z

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 f6e31e6d-f3e8-4d36-af7e-7cf850625add · outbound

This paper cites Solving quantitative reasoning problems with language models.Advances in Neural Information Processing Systems, 35: 3843–3857, 2022.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Solving quantitative reasoning problems with language models.Advances in Neural Information Processing Systems, 35: 3843–3857, 2022

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.927971Z

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 21530d56-553d-4b70-8ce4-9d267c703072 · outbound

This paper cites Camel: Communicative agents for" mind" exploration of large language model society.Advances in Neural Information Processing Systems, 36:51991–52008, 2023.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Camel: Communicative agents for" mind" exploration of large language model society.Advances in Neural Information Processing Systems, 36:51991–52008, 2023

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.811920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 393f4a05-d426-4230-9415-fefb80b44ad7 · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.815853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caca195e-a324-41f0-88ab-2c7070b0c45b · outbound

This paper cites DeepSeek-V3 Technical Report.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team DeepSeek-V3 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.819912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5737eabc-8cf1-4b86-ad60-e01076865642 · outbound

This paper cites rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.823958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a537ec6d-8c0b-4e25-9ae7-1fa9990e4944 · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.828288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96c6f384-8e2a-4c89-a72b-8949932b6c34 · outbound

This paper cites Chameleon: Plug-and-play compositional reasoning with large language models.Advances in Neural Information Processing Systems, 36, 2024.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Chameleon: Plug-and-play compositional reasoning with large language models.Advances in Neural Information Processing Systems, 36, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.906628Z

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 59a46066-6a72-4258-a56b-293e67a799ab · outbound

This paper cites OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.837321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c326084a-fa11-423d-98f2-651e5231eff2 · outbound

This paper cites American invitational mathematics examination - aime.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team American invitational mathematics examination - aime

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.893403Z

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 ccc528b1-a557-4240-a091-f7fa166c0a58 · outbound

This paper cites American invitational mathematics examination - aime.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team American invitational mathematics examination - aime

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.880409Z

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 939ef2b8-cf7a-4930-b81a-bd1b45c525ee · outbound

This paper cites Generative Reward Models.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Generative Reward Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.849547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da2f005b-5338-4cb3-b3c2-dd03aaa57e58 · outbound

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

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.853998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27b19d2f-92c8-4559-a354-19079240a252 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team WebGPT: Browser-assisted question-answering with human feedback

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.858120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3031909f-b158-4fff-8e68-9eac8f52ee30 · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.862356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2137a1-48a3-4799-89eb-bdc713a592ef · outbound

This paper cites Hello GPT-4o, 2024.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Hello GPT-4o, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.866377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a0be701-3de0-4e94-a4c4-81208268bee1 · outbound

This paper cites Learning to reason with llms, 2024.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Learning to reason with llms, 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.858831Z

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 e42829f6-4a67-437c-902d-25118cb1f71b · outbound

This paper cites Introducing openai o3 and o4-mini, 2025.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Introducing openai o3 and o4-mini, 2025

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.874642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 407ac7bf-fd53-4c6a-96d6-5374790a2ed2 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team MemGPT: Towards LLMs as Operating Systems

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.878575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63171561-b1e3-4588-94d8-4a32691533a1 · outbound

This paper cites Chain of evidences and evidence to generate: Prompting for context grounded and retrieval augmented reasoning.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Chain of evidences and evidence to generate: Prompting for context grounded and retrieval augmented reasoning

Reference 44

Resolution: verified exact; doi, observed 2026-08-07T00:24:15.083909Z

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 2cf63cc0-00b2-41bf-bdf9-1718cbe3423c · outbound

This paper cites Evaluating the values of sources in transfer learning.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Evaluating the values of sources in transfer learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.887025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff97a879-a419-4f3e-8cd3-b5cbc5ddcb2a · outbound

This paper cites Retrieval augmented code generation and summarization.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Retrieval augmented code generation and summarization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.890927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2572e438-433f-4e82-a8a7-93c704986c9a · outbound

This paper cites Retrieval enhanced data augmentation for question answering on privacy policies.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Retrieval enhanced data augmentation for question answering on privacy policies

Reference 47

Resolution: verified exact; doi, observed 2026-08-07T00:24:15.050693Z

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 f5f4a882-64b1-4f33-95be-e50d39f53a71 · outbound

This paper cites Qwq: Reflect deeply on the boundaries of the unknown, 2024.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Qwq: Reflect deeply on the boundaries of the unknown, 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.837556Z

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 ef186d05-c19c-4a34-badc-0584fa9e0f98 · outbound

This paper cites QwQ-32B: Embracing the power of reinforcement learning, March 2025.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team QwQ-32B: Embracing the power of reinforcement learning, March 2025

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.824221Z

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 75d68f2b-2618-4349-91a9-a064ea2f178d · outbound

This paper cites Ai debate aids assessment of controversial claims.arXiv preprint arXiv:2506.02175, 2025.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Ai debate aids assessment of controversial claims.arXiv preprint arXiv:2506.02175, 2025

Reference 50

Resolution: verified exact; raw_fallback, observed 2026-08-07T00:24:15.341144Z

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 c272234e-b034-49df-8148-821e11816b89 · outbound

This paper cites DelucionQA: Detecting hallucinations in domain-specific question answering.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team DelucionQA: Detecting hallucinations in domain-specific question answering

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.811364Z

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 92141737-9a7b-4051-8f42-e38a988114e9 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Reflexion: Language agents with verbal reinforcement learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.920410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c392f8-d169-492d-904f-d1f1cef9f3cd · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36, 2024.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.787845Z

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 b376defb-f332-40c1-820c-ea228e5eee1d · outbound

This paper cites Tenenbaum, Antonio Torralba, Shuang Li, and Igor Mordatch.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Tenenbaum, Antonio Torralba, Shuang Li, and Igor Mordatch

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.775001Z

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 b391d688-c6fe-4d32-bbeb-343b0067b87b · outbound

This paper cites Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.933815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82b7e2db-a626-43a5-b65d-c9ed057ace8e · outbound

This paper cites Qwen3, April 2025.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Qwen3, April 2025

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.937861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f8ebd3-369d-4967-8041-1895d8c2e60d · outbound

This paper cites OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.942013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d765a8b8-970f-4a08-8113-846bac0ff8d0 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Self-consistency improves chain of thought reasoning in language models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.946771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 704fca05-3593-45a0-abd5-9f88e608e979 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.951204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54c6d8ba-27e4-4b18-a929-9df6691706b0 · outbound

This paper cites Learning to Filter Context for Retrieval-Augmented Generation.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Learning to Filter Context for Retrieval-Augmented Generation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.956100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8ed9855-3fd9-47cd-b5e7-01bc9e6e818d · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.960390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebc1e5d7-f471-483d-b26c-5d593802f8e9 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.964319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 679754b3-460c-4d7e-b19f-38960e7ee7dd · outbound

This paper cites Grok 3 beta — the age of reasoning agents, 2025.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Grok 3 beta — the age of reasoning agents, 2025

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.737008Z

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 91d51960-9ac3-453f-9bfc-529dfa33e85b · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.973716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a34bcd7-755c-44bf-8c9a-3f1f15ff57f9 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team React: Synergizing reasoning and acting in language models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.977708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498ff026-fe3f-4f37-bd26-0a457ef52ece · outbound

This paper cites Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.981510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1338ff5-3cbe-4235-a45f-54061a680d6e · outbound

This paper cites ACECODER: Acing Coder RL via Automated Test-Case Synthesis.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team ACECODER: Acing Coder RL via Automated Test-Case Synthesis

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.985905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875c14e5-9da1-4761-810f-29e2a32e649b · outbound

This paper cites AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.990061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 714a48db-e91c-48d7-aa9a-d08fcb72d09f · outbound

This paper cites Liu, and Gao Huang.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Liu, and Gao Huang

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.716537Z

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 f1a9f071-1258-4a48-8b0f-b0dc9ec1bbdf · outbound

This paper cites Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.998105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c0e4126-0336-44e8-815d-d4ad6d36c272 · outbound

This paper cites twice as many pillow cases as sheets.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team twice as many pillow cases as sheets

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:15.702204Z

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 5c7927f6-7823-45d4-890e-44a5d331f519 · outbound

This paper cites an unresolved cited work.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Unresolved cited work

Reference 831

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:24:15.998154Z

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 99ae893e-3e1f-40ea-9437-60f6f7b2c990 · outbound

This paper cites doi: 10.18653/v1/2023.findings-emnlp.59.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team doi: 10.18653/v1/2023.findings-emnlp.59

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.916061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d74fb48a-d5e5-410c-88b6-80ab613d724a · outbound

This paper cites doi: 10.18653/v1/2024.acl-long.367.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team doi: 10.18653/v1/2024.acl-long.367

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.782695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b37a423-a7af-414e-991c-e452d8fd1b21 · outbound

This paper cites TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:24:15.487839Z

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.

Pith citing papers

Observation 6c731bc9-f4b8-4805-8e1e-c245c8c2aa3c · inbound

AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning cites this paper.

AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T12:23:55.127390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db0c3d42-5bf1-445f-8288-fbe1cc7b4189 · inbound

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection cites this paper.

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:05:38.942110Z

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 d1b24de5-4a16-4bae-ae75-b83d6c0c5a1f · inbound

Pattern Recognition Tasks with Personalized Federated Learning cites this paper.

Pattern Recognition Tasks with Personalized Federated Learning Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:13:29.768400Z

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 3ed881fd-fd8b-4a38-8b9c-1a7c3d1b42c0 · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Reference 124

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:39:42.624129Z

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 038d2672-48f2-4123-aa07-c801c6d7e6cd · inbound

Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning cites this paper.

Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:20:00.011029Z

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.