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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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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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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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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=sha256:971c857f465c8766c4369e93679556621f050a63716f28ca1ca9616f80d4f95a

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=sha256:7632b11923f17e5cd3e092e7fba5bd5513bccb462ad424f43d17f36fbaefbbe7

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=sha256:7c14b16043fcb86fba15c6f12239b337a7d66c9accc3c32b2afdcb2138d6c54a

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=sha256:693ee6b601f22b209e75f77c757621fb594b1d244692d9bf4bf33a6503559dc1

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=sha256:8ff5803a04d689ce0d85b811f5a6f86bc49278c7090e18df231d5aa49905c995

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=sha256:6563ddbe96290dab1e958259d2477dc39f05cc531d9729a60963283dd06b4140

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=sha256:25631c0d547c4b22d0797b3e7dbb509a37bec14b0726d0ad30e88321fa51fb9d

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:f98eda341482bd087d6daf90674850a234968651818741401bf9fa2d6ca063e0

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=sha256:4ff6b69694c111663898f79b505d5e2a23ff7463ac24249c3ea4e75a3c4d47e7

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=sha256:4065ca904cc96481c8cf51f4850e7757a00f866e45dc1f5b32d5784e1ffc6314

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:da1faebc44d73850406a614e6a89051ad3acb6b19f33a68bba8e53a3e175bbfa

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:cdf529022b603d18f990da3717489edf56d194a8ce4ab604705230c457ada326

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=sha256:4b39c12d9da1d4fcbec3483fa344c059fe2df01fa41fda1361144a1ba418063f

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=sha256:9692c4c5a86b0e65a6e0d1472eeccfd6f51cc9912eacbe4923954ca2c5c4bf86

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=sha256:6a2d4c67e43dfa995bf0ef1c4db9611a7b56024358eb38bfabb24bb11583a627

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=sha256:4f6060fad07bc09ad5ed127b1f0beecba39fc866d0aa226c546d178ae3c0b30b

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=sha256:90874330344c88fda932923807432a058b947b38849fbd98abf12936bea5912d

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=sha256:90d1b907291fc13e9d9e382d1eb3a42c9a34352388c228aab08345f472c95400

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=sha256:66464bd3c05a142c9e5f59b90373918553b332047a68569fe7b63117ef01d245

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=sha256:8fdcbb938e041ff7ae6e6214a3eda2e9c4e42a3127885ba4f2233b2a16fdea94

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=sha256:9b73591adb3a00faa22fe07497c7b46093bc21405d7deaa1e7fb73fe799f1d26

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:e0f2505d00732818492965fddbd52639436bc61e59ed1e1d9ef5aeae80675d06

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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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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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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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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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=sha256:5b9a25d2aba91b10c902f890d6bea78bcb5c8484012dfecb20e3447527f2b896

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:ac8117b64c85cce08683997cbcea7a1df7aeb4a72a09f1bebf9b37e9f5662fcb

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=sha256:13aeeb09f733c4b23caac411376b53eccdaa300ba87d5160a0b0c3eea925062b

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=sha256:44ca1bee3e13d0fe167729cef468ac9dcb9f72783136dcc64eec66152381c355

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=sha256:649dc35784520457ddb9fa15a58a3ccb1ba3cf852ec5692f36f519d1298a9bbe

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:ea8bd49cc088eadeea3b4babb9672d0e247de77a316e5eca4332898f8d99c30b

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=sha256:9cb3178b966876729b30723605f0013c8e60c4ca81bdb6cb08912a3eed812ca3

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=sha256:877e3503220476eaaabab00b54f1f68b5b360b27edeee721ec648e4040e5f7ee

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:f42be978bd42595d3eadd91803b66f30f4263c61fb73ab3b90d0e13b210a6392

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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source=pdf_text observed=2026-07-31T22:14:36.634807Z digest=sha256:3465f5c40731ffdca2f23ff74d011cbab2a973a9f8beb5d67aa11923bfd93de1

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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source=pdf_text observed=2026-07-31T22:14:36.611135Z digest=sha256:63f9ffbdbd5975e43ac31aea74d3ad83486b73610349669745bf1751b2019989

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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source=pdf_text observed=2026-07-31T22:14:36.641206Z digest=sha256:79881bb1f2247b1202afe033c4fa956512246ca59a184d69bb2108cdfee1a95f

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=sha256:2def7be6014ae58eca327e75cd32c4fcd1a39dc62a33eb6b35be151b8aed71ce

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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source=pdf_text observed=2026-07-31T22:14:36.572896Z digest=sha256:fbf8508f13357a59a6df240d21b0fa08864ac3f0cc7ef365861b9a62dd463373

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=sha256:8e51e96d8fbff4ebc38bd2de958d8aeda8345f9d24abc2f7a940ab1aa89be94c

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=sha256:9b5eff674dff2cd567e7caee25532d367c78b0bfbd5a3ff80a00238a74037a02

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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source=pdf_text observed=2026-07-31T22:14:36.567583Z digest=sha256:4e933284e01cbb805a6857ad0596215fdc6adbbdd98ce78eee8f8d235003780f

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

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T22:14:36.561826Z digest=sha256:737927d0dd826c4421cf2beaa35f1c0345289c5d71f1d834301b9f01c84aca94

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:e850227b478caae9ef56f577f8b9d45458c6a63fcd650ab7e5ff6b2df7856807

Pith citing papers

No inbound Pith citation observations are available.