Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T22:14:36.678143Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.27958.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T22:14:36.678143Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 423220e2-26d9-40ba-aa59-b4431dbde167 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
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Unavailable: canonical work link unavailable.
Observation 34ebe99a-31db-45b9-8f3f-c7b05bcd8f3b · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Why Do Multi-Agent LLM Systems Fail?
Reference 3
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Observation 84e97735-21c3-4441-ad0e-ddaa46b355a6 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems This allows historical reliability evidence from related training domains to be reused for new tasks
Reference 8
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Observation 5359a648-0f8e-4530-ba3b-bf2e7e4162b2 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems The Llama 3 Herd of Models
Reference 9
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Observation 876f35ed-ceb5-41e0-9f85-c0d1ee43e8f3 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Efficiently Modeling Long Sequences with Structured State Spaces
Reference 10
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Observation 0c9598a1-37c6-43d7-832b-78ba83f262b8 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Measuring Massive Multitask Language Understanding
Reference 11
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Observation 0a44e64c-843e-4b5e-8316-c211ba508ee8 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Memory in the Age of AI Agents
Reference 13
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Observation ae911441-8f8c-4c91-8d68-71f1e199381d · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Jennings, and Nigel Shadbolt
Reference 14
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Observation c385dd0a-2686-4048-9058-2e9813ebfa64 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Debating with More Persuasive LLMs Leads to More Truthful Answers
Reference 15
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Observation 765f8445-c550-47e2-86c9-02a53b25623e · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems No free labels: Limitations of llm-as-a-judge without human grounding.arXiv preprint arXiv:2503.05061,
Reference 16
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Observation 4b2edd48-c527-415e-bad8-7c7d67ab3e36 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems $\delta$-mem: Efficient Online Memory for Large Language Models
Reference 17
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Observation e8fd6bdb-0fe2-4ea2-84a4-209383797758 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Let’s verify step by step
Reference 18
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Observation 88c9dac6-45bd-4eb1-b506-38b4698b7b94 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Can a suit of armor conduct electricity? a new dataset for open book question answering
Reference 20
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Observation db11879e-ac77-467f-bb49-eee29c76cd1e · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems CONSENSAGENT: Towards efficient and effective consensus in multi-agent LLM interactions through sycophancy mitigation
Reference 22
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Observation 3f5bffe9-16de-47d7-b261-b8ec220eab10 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems ISBN 979-8-89176-256-5
Reference 23
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Observation aaa44321-b620-45fd-8ab2-737f3cce57bc · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer
Reference 25
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Observation aebe0f94-5442-4eda-bfff-cbff8792e203 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Vighnesh Subramaniam, Yilun Du, Joshua B Tenenbaum, Antonio Torralba, Shuang Li, and Igor Mordatch
Reference 26
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Observation 03ea53f1-bec9-4a86-9af3-d855cdc401c4 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Challenging big-bench tasks and whether chain-of-thought can solve them
Reference 27
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Observation b8a496db-b590-4c39-b9e6-b9482b707769 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Reference 28
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Observation 4dd1bdf4-d1db-4729-827d-6cbcdcd68a65 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems MiniCPM4: Ultra-Efficient LLMs on End Devices
Reference 30
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Observation 55ffe0db-0048-421b-9b97-cfefa5baba4d · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 32
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Observation 6d071547-63af-4996-8a03-e29ca2f3cde3 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents
Reference 34
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Observation d140f3b0-b1ef-4926-ba5c-86af9c2cba2b · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Reference 35
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Observation e7ad44f6-6e6c-4247-8deb-904d5e56be18 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Qwen3 Technical Report
Reference 36
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Observation 9f476166-709e-46f4-99aa-10ad5f779d51 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Reference 37
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Unavailable: canonical work link unavailable.
Observation 79ea4e97-121c-442f-9e7b-96dbcd21600d · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Swarmagentic: Towards fully automated agentic system generation via swarm intelligence
Reference 38
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Observation 9ba4e165-c112-4e4e-8538-1ceacc41d96f · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Zhou et al
Reference 39
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Observation aa65736d-f07b-4068-ba43-ef75b34a50d8 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Unresolved cited work
Reference 40
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Observation d48570e2-0940-4ed1-82c0-6037ec8878fd · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Unresolved cited work
Reference 41
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Observation 2e18c3e3-235e-4b8a-b22e-a657ab41b511 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Unresolved cited work
Reference 42
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Observation 8c0fd216-a628-4e49-a65c-a697dc8f98ff · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Each counterfactual split contains the same 2,685 tasks, including 1,216 mathematics tasks, 1,075 RAG tasks, and 394 coding tasks
Reference 43
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Unavailable: canonical work link unavailable.
Observation 37fcffa1-147e-4822-a9a9-24d2bca847e0 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems All splits contain the same 2,685 task events
Reference 45
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Unavailable: canonical work link unavailable.
Observation 537ae462-4d82-4ca7-96b6-47042fe2697b · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Unresolved cited work
Reference 46
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Observation 7b3fb361-5b93-4599-ba92-c1c88b4d5c53 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems
Reference 1912
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Observation 8c94804b-547e-4750-ba44-3e613921eb63 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Risk Analysis Techniques for Governed LLM-based Multi-Agent Systems
Reference 1979
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Observation be1f19a3-0502-4b0d-a5b5-ee26b1faaf52 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Towards understanding sycophancy in language models
Reference 2001
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Observation c40fde3c-a35f-4d0e-9f2d-38771f7bd14a · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Gemma 3 Technical Report
Reference 2006
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Observation 318c8bae-b933-4ce1-8476-c4d735c6251b · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
Reference 2018
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Observation 0088bfdd-025d-41a3-a2be-1165f7ed4800 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Mixture-of-agents enhances large language model capabilities
Reference 2019
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Unavailable: canonical work link unavailable.
Observation fe980fda-28e8-46c4-ac51-86c5cfe129dc · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Measuring Mathematical Problem Solving With the MATH Dataset
Reference 2020
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Observation d04b7878-59ca-4930-9c19-b862175b76e2 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Reference 2021
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Observation bc79947c-5643-4304-95f3-683fa25e3e75 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Routing to the expert: Efficient reward-guided ensemble of large language models
Reference 2022
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Observation a70663fc-0ea3-4899-852b-1ceac2742307 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Evaluating Large Language Models Trained on Code
Reference 2023
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Observation 7c84217b-053a-4b04-a0cf-3f57b0231dc8 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Reference 2024
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Observation eb684853-a7da-4c24-be60-874dabd78f65 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Program Synthesis with Large Language Models
Reference 2025
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Observation 17d855fc-f244-41ff-9e5e-40949fbf2c24 · outbound
$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Training Verifiers to Solve Math Word Problems
Reference 2026
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No inbound Pith citation observations are available.