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Paper Citation Record · LEDGER

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems

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.

pith.paper-citation-record.v1
2607.27958 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:14:36.678143Z

measured 46 of 46 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

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 423220e2-26d9-40ba-aa59-b4431dbde167 · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.558069Z digest=sha256:53484ac2bfb0fc4fb3b4ec574d737b1d8c559199259a9c8f8943f65163e01b65

Observation 34ebe99a-31db-45b9-8f3f-c7b05bcd8f3b · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Why Do Multi-Agent LLM Systems Fail?

Reference 3

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source=pdf_text observed=2026-07-31T22:14:36.564901Z digest=sha256:b1f2b45f6ab60921672178d0095ca3b2769cc4349178e67d24960524a6f23413

Observation 84e97735-21c3-4441-ad0e-ddaa46b355a6 · outbound

This paper cites This allows historical reliability evidence from related training domains to be reused for new tasks.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.673581Z digest=sha256:8246a90c2b81b13b63ff74868919f7e438d0bbc44363988936b3f5eccc93d02a

Observation 5359a648-0f8e-4530-ba3b-bf2e7e4162b2 · outbound

This paper cites The Llama 3 Herd of Models.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems The Llama 3 Herd of Models

Reference 9

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source=pdf_text observed=2026-07-31T22:14:36.580606Z digest=sha256:d48e737074c81b95274e3f81fb3d9394cb5ef3987d8eb6f2be8f33c8ee94eece

Observation 876f35ed-ceb5-41e0-9f85-c0d1ee43e8f3 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.583101Z digest=sha256:ce598ed870de05fde673342396e9e4357a293c5dfe8e972ebf6f9c0a9b6e3fc9

Observation 0c9598a1-37c6-43d7-832b-78ba83f262b8 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Measuring Massive Multitask Language Understanding

Reference 11

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source=pdf_text observed=2026-07-31T22:14:36.585633Z digest=sha256:7c668103fe24abeddf8db5e728fe95fa999fafcea32ccf1d51c27fab9e09ea1c

Observation 0a44e64c-843e-4b5e-8316-c211ba508ee8 · outbound

This paper cites Memory in the Age of AI Agents.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Memory in the Age of AI Agents

Reference 13

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source=pdf_text observed=2026-07-31T22:14:36.590656Z digest=sha256:b15bfc398d306b4c4b5591b965deb162b22e6389616637af290e25c26e7b1aac

Observation ae911441-8f8c-4c91-8d68-71f1e199381d · outbound

This paper cites Jennings, and Nigel Shadbolt.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Jennings, and Nigel Shadbolt

Reference 14

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source=pdf_text observed=2026-07-31T22:14:36.593070Z digest=sha256:0e8f91c9dd92028a16db6960fcb7154a26cc7d0eb09bcaab6a091b4e688177e7

Observation c385dd0a-2686-4048-9058-2e9813ebfa64 · outbound

This paper cites Debating with More Persuasive LLMs Leads to More Truthful Answers.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.595358Z digest=sha256:0ce0b00c9a56fa1925fb4c04f4cdd75850cc097503c7994c6c394db0c273639b

Observation 765f8445-c550-47e2-86c9-02a53b25623e · outbound

This paper cites No free labels: Limitations of llm-as-a-judge without human grounding.arXiv preprint arXiv:2503.05061,.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.597938Z digest=sha256:e2bc1f68faad0f0af714a198be2720d8d5e010acdff2756e691403d269b6cd07

Observation 4b2edd48-c527-415e-bad8-7c7d67ab3e36 · outbound

This paper cites $\delta$-mem: Efficient Online Memory for Large Language Models.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.600223Z digest=sha256:c1192bddad21c4655a89675f102d1818bdc8689d336ab5eaf583423548894356

Observation e8fd6bdb-0fe2-4ea2-84a4-209383797758 · outbound

This paper cites Let’s verify step by step.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Let’s verify step by step

Reference 18

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source=pdf_text observed=2026-07-31T22:14:36.603308Z digest=sha256:7870c681af3edcb903e1aec2bb84d625fff9a3d250479a5b9baaf81410221e41

Observation 88c9dac6-45bd-4eb1-b506-38b4698b7b94 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.608306Z digest=sha256:18f1d63caab83223dfde6460ee3f0a623a8fb19ddaf0e618eece7d5d1cd76ada

Observation db11879e-ac77-467f-bb49-eee29c76cd1e · outbound

This paper cites CONSENSAGENT: Towards efficient and effective consensus in multi-agent LLM interactions through sycophancy mitigation.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.613891Z digest=sha256:8bd9ef4cd35fe0781f7d8cb48a5feedbdd0d8431fc8583e4f6fca6644f3b93f8

Observation 3f5bffe9-16de-47d7-b261-b8ec220eab10 · outbound

This paper cites ISBN 979-8-89176-256-5.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems ISBN 979-8-89176-256-5

Reference 23

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source=pdf_text observed=2026-07-31T22:14:36.616885Z digest=sha256:f35b34e7a12f85861a4bdaa9d47350cfb7b1be09c6c3f487290769bd59d14472

Observation aaa44321-b620-45fd-8ab2-737f3cce57bc · outbound

This paper cites Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.622744Z digest=sha256:c6a8cb90371c73c7861dc5ffacb35b7b46043bde8af37be85f3f847b661ef15c

Observation aebe0f94-5442-4eda-bfff-cbff8792e203 · outbound

This paper cites Vighnesh Subramaniam, Yilun Du, Joshua B Tenenbaum, Antonio Torralba, Shuang Li, and Igor Mordatch.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.625926Z digest=sha256:3a4bdcc4ca6fbbb682fcc9e2a222ecf9b1bcaf63085d5dfdfe768d4b4c16225b

Observation 03ea53f1-bec9-4a86-9af3-d855cdc401c4 · outbound

This paper cites Challenging big-bench tasks and whether chain-of-thought can solve them.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.628874Z digest=sha256:c4df217d310280e327ff0a108a7cc7ac986c16a7d9d115fff36d4b6e5dfed723

Observation b8a496db-b590-4c39-b9e6-b9482b707769 · outbound

This paper cites MathScale: Scaling Instruction Tuning for Mathematical Reasoning.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 28

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source=pdf_text observed=2026-07-31T22:14:36.631933Z digest=sha256:feadcfa6f1fc5241ea93548c8a0221b1878e4b43a132776e254ea1f945cf7059

Observation 4dd1bdf4-d1db-4729-827d-6cbcdcd68a65 · outbound

This paper cites MiniCPM4: Ultra-Efficient LLMs on End Devices.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems MiniCPM4: Ultra-Efficient LLMs on End Devices

Reference 30

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source=pdf_text observed=2026-07-31T22:14:36.638353Z digest=sha256:938c4da2c80d880b2c3f0d1e55b67d607be93849843ecfd0c786538e22191913

Observation 55ffe0db-0048-421b-9b97-cfefa5baba4d · outbound

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

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.643591Z digest=sha256:d0aa87ee4216db737d4363ddc1c75ea305c8656ae22f4bb6a6ccdaf1ae666ca2

Observation 6d071547-63af-4996-8a03-e29ca2f3cde3 · outbound

This paper cites Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.648785Z digest=sha256:cdb6b4f4bdb7451f7523905c9972f9b34e8715edd92ad3a2a61bba42461750c3

Observation d140f3b0-b1ef-4926-ba5c-86af9c2cba2b · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.651295Z digest=sha256:648afa50d90ffc6bb9bbc574955c28017b795d68eb425c7b95ab673b5d30311a

Observation e7ad44f6-6e6c-4247-8deb-904d5e56be18 · outbound

This paper cites Qwen3 Technical Report.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Qwen3 Technical Report

Reference 36

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source=pdf_text observed=2026-07-31T22:14:36.653760Z digest=sha256:1cc1adc7119c24b7b97d99f3db93496b84a1b7df36621f56565a8aeff6636b58

Observation 9f476166-709e-46f4-99aa-10ad5f779d51 · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.656185Z digest=sha256:2c0ee3ffa9e72f62646b1b9df188dd5c799c2d84c4b641f69e412eef17515ef5

Observation 79ea4e97-121c-442f-9e7b-96dbcd21600d · outbound

This paper cites Swarmagentic: Towards fully automated agentic system generation via swarm intelligence.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.658822Z digest=sha256:56cf6d2a0dbba98b7a9669473d0605ccd3c873f02ff05f48f0b3f76e2da2d669

Observation 9ba4e165-c112-4e4e-8538-1ceacc41d96f · outbound

This paper cites Zhou et al.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Zhou et al

Reference 39

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source=pdf_text observed=2026-07-31T22:14:36.661241Z digest=sha256:dd480e80fad0e187c1dca3f2bb31016406491c01e629662bb87d36aa9f4a1543

Observation aa65736d-f07b-4068-ba43-ef75b34a50d8 · outbound

This paper cites an unresolved cited work.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Unresolved cited work

Reference 40

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source=pdf_text observed=2026-07-31T22:14:36.663653Z digest=sha256:bb0f5ec1d11ca2844777a5d6060db92fba599dbf17135149383134ae44a66456

Observation d48570e2-0940-4ed1-82c0-6037ec8878fd · outbound

This paper cites an unresolved cited work.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Unresolved cited work

Reference 41

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source=pdf_text observed=2026-07-31T22:14:36.666105Z digest=sha256:7f78d354f9cd12574be7d791344e61ed33ee27433345a377a8bd4fe258320a4e

Observation 2e18c3e3-235e-4b8a-b22e-a657ab41b511 · outbound

This paper cites an unresolved cited work.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Unresolved cited work

Reference 42

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source=pdf_text observed=2026-07-31T22:14:36.668410Z digest=sha256:3622ee6576f798d48ab1953e9cb986d662c785752d4fb2347f876137ef3acefc

Observation 8c0fd216-a628-4e49-a65c-a697dc8f98ff · outbound

This paper cites Each counterfactual split contains the same 2,685 tasks, including 1,216 mathematics tasks, 1,075 RAG tasks, and 394 coding tasks.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.670982Z digest=sha256:713a6d7e3cb558d7af283dea42d7c756ab09eee0a6c4a92b32337d537d5d7d8c

Observation 37fcffa1-147e-4822-a9a9-24d2bca847e0 · outbound

This paper cites All splits contain the same 2,685 task events.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.675951Z digest=sha256:9131a066351790ddee431611e231bf60fd665a0c1dc83f9bb4fb3afd5d8de2ff

Observation 537ae462-4d82-4ca7-96b6-47042fe2697b · outbound

This paper cites an unresolved cited work.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Unresolved cited work

Reference 46

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source=pdf_text observed=2026-07-31T22:14:36.678143Z digest=sha256:36d9b89e83ec322f55837b560b240f7254f3b5142b1b2d6fc7379a72bdcf98eb

Observation 7b3fb361-5b93-4599-ba92-c1c88b4d5c53 · outbound

This paper cites Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.646336Z digest=sha256:6299869bd51ed5c296777f88f89483d5a9ea61827226a793e5bd74fd87dea320

Observation 8c94804b-547e-4750-ba44-3e613921eb63 · outbound

This paper cites Risk Analysis Techniques for Governed LLM-based Multi-Agent Systems.

$\Sigma$-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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source=pdf_text observed=2026-07-31T22:14:36.578244Z digest=sha256:827e44e8d4990c7c3b527507c9e5bae5131c95603e96250446833ea4a9e31ba0

Observation be1f19a3-0502-4b0d-a5b5-ee26b1faaf52 · outbound

This paper cites Towards understanding sycophancy in language models.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Towards understanding sycophancy in language models

Reference 2001

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source=pdf_text observed=2026-07-31T22:14:36.619636Z digest=sha256:628ea2d34591e952667f400ff7c0dd269495b6c3fc711e4d25c2c1b98fde3bdb

Observation c40fde3c-a35f-4d0e-9f2d-38771f7bd14a · outbound

This paper cites Gemma 3 Technical Report.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Gemma 3 Technical Report

Reference 2006

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no resolver link, observed 2026-07-31T22:14:36.634807Z

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source=pdf_text observed=2026-07-31T22:14:36.634807Z digest=sha256:9bbd429fef93a511109d682e7a41ae8d3e6c856d4952f500864490220d69a3f6

Observation 318c8bae-b933-4ce1-8476-c4d735c6251b · outbound

This paper cites LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments.

$\Sigma$-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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no resolver link, observed 2026-07-31T22:14:36.611135Z

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source=pdf_text observed=2026-07-31T22:14:36.611135Z digest=sha256:3b703d145d37095819a3633c3fbe7ae9cf1fa47146cb4dd1446b4c4a930c2902

Observation 0088bfdd-025d-41a3-a2be-1165f7ed4800 · outbound

This paper cites Mixture-of-agents enhances large language model capabilities.

$\Sigma$-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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no resolver link, observed 2026-07-31T22:14:36.641206Z

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source=pdf_text observed=2026-07-31T22:14:36.641206Z digest=sha256:81f1f11129ece9bc116b111bec639aef110749b0f314b72669451ddc7d481a22

Observation fe980fda-28e8-46c4-ac51-86c5cfe129dc · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

$\Sigma$-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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no resolver link, observed 2026-07-31T22:14:36.588159Z

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source=pdf_text observed=2026-07-31T22:14:36.588159Z digest=sha256:7f58c23b19f16c4317ba459069a751c0090c5938887ae4968819091b8bf52ad8

Observation d04b7878-59ca-4930-9c19-b862175b76e2 · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

$\Sigma$-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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no resolver link, observed 2026-07-31T22:14:36.572896Z

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source=pdf_text observed=2026-07-31T22:14:36.572896Z digest=sha256:c969a2fbd50351955c3ac543fc3e8134d2e401319c770f401bb42b0698f9a4e6

Observation bc79947c-5643-4304-95f3-683fa25e3e75 · outbound

This paper cites Routing to the expert: Efficient reward-guided ensemble of large language models.

$\Sigma$-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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no resolver link, observed 2026-07-31T22:14:36.606027Z

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source=pdf_text observed=2026-07-31T22:14:36.606027Z digest=sha256:be4ad2e4c08b30018271427d70e2e7f2fa414f7a207c3465064542fc3d2c2a23

Observation a70663fc-0ea3-4899-852b-1ceac2742307 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Evaluating Large Language Models Trained on Code

Reference 2023

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source=pdf_text observed=2026-07-31T22:14:36.570178Z digest=sha256:c19a8b4f720c84517846b9e6e3833067ff56159a2743fc7e2d3b62dec4a0f8a4

Observation 7c84217b-053a-4b04-a0cf-3f57b0231dc8 · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

$\Sigma$-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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no resolver link, observed 2026-07-31T22:14:36.567583Z

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source=pdf_text observed=2026-07-31T22:14:36.567583Z digest=sha256:2efa71a4acf4598e4ca0c751bd447f1a1afde22341d69d1a3f3cc55d7adbba4c

Observation eb684853-a7da-4c24-be60-874dabd78f65 · outbound

This paper cites Program Synthesis with Large Language Models.

$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems Program Synthesis with Large Language Models

Reference 2025

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no resolver link, observed 2026-07-31T22:14:36.561826Z

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source=pdf_text observed=2026-07-31T22:14:36.561826Z digest=sha256:b41e071e70fb8671fde5c26ac241cc76bb6788cd2637b25b345637984e41cb92

Observation 17d855fc-f244-41ff-9e5e-40949fbf2c24 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

$\Sigma$-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 resolver link, observed 2026-07-31T22:14:36.575760Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T22:14:36.575760Z digest=sha256:a25bc6d048e941d0a8218513216bf92498107b663371d8cf79f5529eecca7874

Pith citing papers

No inbound Pith citation observations are available.