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Paper Citation Record · LEDGER

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems

As of 12 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.08236.

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

pith.paper-citation-record.v1
2608.08236 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:19:26.716482Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

  • verified exact1
  • verified fuzzy1
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 486b8e60-70eb-425f-bb3b-9b03de82e9ee · outbound

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

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.528355Z digest=sha256:18d2931bbce04bd6ece5aa6e75fb2973ee97fecc7cc2b65bf5f0cfe1a136dd54

Observation 4d291a29-fc58-4b3e-af1d-3b4ceaa0b6fe · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems QLoRA: Efficient Finetuning of Quantized LLMs

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.532583Z digest=sha256:f567bbdc8d4280e432c7836a40b64f5c902938306c4248b4d33369b740cee1a9

Observation 40e8b40f-3c80-490a-b837-439ba053207e · outbound

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

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 3

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no resolver link, observed 2026-08-12T00:19:26.536631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.536631Z digest=sha256:d89a9ae3ce1cea1251a6879be1df00bb0d8681546354df769f37525790712f9c

Observation 263e401b-c82a-4ab3-a9f4-a749594df8e2 · outbound

This paper cites an unresolved cited work.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Unresolved cited work

Reference 4

Resolution
verified exact
doi, observed 2026-08-12T00:19:26.847268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.541352Z digest=sha256:dfca0f7ca593136220935da2c8d5b76616c0dda2c8196c8a454f80aa57bd9d27

Observation 5ba37870-5e98-474c-9988-a927d7b4a406 · outbound

This paper cites REALM-Bench: A Benchmark for Evaluating Multi-Agent Systems on Real-world, Dynamic Planning and Scheduling Tasks.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems REALM-Bench: A Benchmark for Evaluating Multi-Agent Systems on Real-world, Dynamic Planning and Scheduling Tasks

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.545410Z digest=sha256:a141b57e308657e910487ec9dcd8db1f5c99161adc60c685a875bf179b938e4c

Observation 19847cc5-46e0-48f2-a2be-106b5370d329 · outbound

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

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.550095Z digest=sha256:96d18d2f23faf119392470a90916cba062efa3968f93eb2a47be7691118e554c

Observation abeaa61d-e518-462b-ab9e-dd9ae2c73c64 · outbound

This paper cites HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.554371Z digest=sha256:1fc9dc10a8aef4d61f1237dc34f7daf0f2f434533e2a56d55c207389bc55bfc9

Observation bf612fa7-600a-43f3-82ea-9bebc1e83fcf · outbound

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

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.559131Z digest=sha256:7d61925d553d338cf64b36003a9a63bc1aa104ef535f4d98810a11018dc7be87

Observation 567c6ea9-ae1f-4c51-9a33-13f9421ce332 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.563563Z digest=sha256:e78e6edca65de0d2f641a7c05867aa9ee4d4a3e4d151ab15cd79d7663f01ffb1

Observation 582e9f56-9cd5-4f09-9410-39290abfe642 · outbound

This paper cites Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.568193Z digest=sha256:f3ca686e380137662477bdc5b21def9ad6a173deea3690a20f333e53bd88d48d

Observation 75611f02-8e34-4ecf-8fac-92263260e96f · outbound

This paper cites Memory in the Age of AI Agents.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Memory in the Age of AI Agents

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.572221Z digest=sha256:fb074ea2acd2b4254145b0e2302c3d1f0a3a1900f68fc1e55d49300a28ebfb95

Observation 0101c31b-119f-47c4-96b5-a3c120e12d2f · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.577647Z digest=sha256:8644dcaa578933f2bba438b8f224745a1edfbe1404db1cd5f4d4138f4f234139

Observation e1609236-2bc8-4295-b339-1aac68a4f653 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 13

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.582311Z digest=sha256:a15f0e5c48e5d0dd344c1b0d47dfe09536854785d376aa9b2d0267c4f51f90aa

Observation a30d8a1d-a636-451a-93eb-b2e645113333 · outbound

This paper cites CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.587003Z digest=sha256:259289ff8f9036afb169a813489a007fbfbca574e1e31fd182640a2292937230

Observation 40d5fe5e-49fb-4d29-83ec-49a3ca6e4ecb · outbound

This paper cites an unresolved cited work.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.591735Z digest=sha256:41feb55e7ca7c67290f288b5a97e368342b07143402336ea6dcbecfb71a638fe

Observation 25af6ace-3aed-4b90-be1c-387baa94dfaf · outbound

This paper cites Locating and Editing Factual Associations in GPT.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Locating and Editing Factual Associations in GPT

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.595252Z digest=sha256:d3c3dbd508ecb0ee458976356da4ed47ec06b572d16e72d750ef8d9087a46f97

Observation 08919093-8f96-4ebb-bc9d-331919bc344e · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems MemGPT: Towards LLMs as Operating Systems

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.599433Z digest=sha256:60203191284e9145cee4e2e22446615e1459d913747e87c6cf382fe48175823c

Observation 55733510-4a86-4faf-b0ae-61c5ff393d55 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Generative Agents: Interactive Simulacra of Human Behavior

Reference 18

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source=arxiv_source observed=2026-08-12T00:19:26.603998Z digest=sha256:4502ee90257956cca89f0214cecbc1278f87d15ed25ee6cac791e193dbeb27d4

Observation 8dda79a4-9c62-486a-ace4-50fe0626dc73 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems ChatDev: Communicative Agents for Software Development

Reference 19

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source=arxiv_source observed=2026-08-12T00:19:26.607934Z digest=sha256:f316eccbf94172f7784368cd94aa33343acd279378a316abdc86b63762f57946

Observation 2db693e8-6b03-47d9-a321-8766f9d34f46 · outbound

This paper cites Qwen2.5 Technical Report.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Qwen2.5 Technical Report

Reference 20

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T00:19:26.612432Z digest=sha256:f7b18199d79256c1b2f2f8e292494c806e39cad23d88bc169a24b1dea0c18568

Observation 50ec8a03-6403-42ee-8115-fd573c27f83b · outbound

This paper cites Zep: A Temporal Knowledge Graph Architecture for Agent Memory.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 21

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source=arxiv_source observed=2026-08-12T00:19:26.616957Z digest=sha256:b47b489ddfc30ddc2990017388cc36ed80f6f00216d303face3c0ae40dafe065

Observation 9252ad75-85d1-4861-97a0-e9c2c4b2768b · outbound

This paper cites an unresolved cited work.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.620316Z digest=sha256:3439a4f99be2dbe7fb54eef5dfea7cafd18195f995713ee6f77449413662476e

Observation cb8b680f-6682-45da-98f3-18b22ed7be3b · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 23

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.623581Z digest=sha256:810cfe86ab6dadc688f1ee131b5baebfa64fb39379c57fbc8c81affe37e338db

Observation 3085cb7a-9564-42fe-b59e-3937c03fe476 · outbound

This paper cites ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM

Reference 24

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source=arxiv_source observed=2026-08-12T00:19:26.627150Z digest=sha256:2d2aa0816bc957026cf1d2eecef57d5bf3db5eb2ccad04a6a41f90dba36f4e48

Observation 8b314aa8-c41b-4280-9082-c63dbe7427a6 · outbound

This paper cites Cognitive Architectures for Language Agents.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Cognitive Architectures for Language Agents

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.631861Z digest=sha256:f47c0e3b1edb50fc3367bfa545c54c738133702fc34c94bd5f22b3dbc80db2d1

Observation dee47a85-47d7-4e5e-b955-c8b262cd5d75 · outbound

This paper cites an unresolved cited work.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.636111Z digest=sha256:af6ebcd5450c20ff80cbbfcb8b4fe71847983d49f06b5289c0b47c683bc88f8d

Observation cbeebfab-0187-479c-a309-613c04f069b1 · outbound

This paper cites PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.639704Z digest=sha256:6441f7f7d4b52b48c4795d5a787729769d2e8d4eba4729684fc9eb751efdb934

Observation 00c4527e-417a-4fb5-abb9-7b2ad61cc205 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 28

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source=arxiv_source observed=2026-08-12T00:19:26.643504Z digest=sha256:0a946b754c319b45fabc3e87a5508b38d740d2ad50db7b556ad9e8737e90f8a3

Observation ac4144de-0626-429f-95da-3563021c6543 · outbound

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

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 29

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.648287Z digest=sha256:7f50a22262fcbaff169a7a1eed8a2681c50dffe42250cc24a2016bd42d1db0f8

Observation a674fa05-d9f2-4eb9-9abd-14629705c3c8 · outbound

This paper cites MIRIX: Multi-Agent Memory System for LLM-Based Agents.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems MIRIX: Multi-Agent Memory System for LLM-Based Agents

Reference 30

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source=arxiv_source observed=2026-08-12T00:19:26.651797Z digest=sha256:1ba2715c9c34ffb59b14436f42e818e0612492b7015f25be07f863b801b3815f

Observation df98cde3-ee29-46c6-97d1-eb5ad544fbe6 · outbound

This paper cites an unresolved cited work.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-12T00:19:27.267011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.655170Z digest=sha256:822330dafa912e581e075f571ef2886f3ea7e192e86618a5db12a3e7a2e709c3

Observation e07101b6-8bf0-4211-9cdf-5d31c049c072 · outbound

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

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 32

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source=arxiv_source observed=2026-08-12T00:19:26.658651Z digest=sha256:e7e74800267f138b027e2f33d912d2e36ba7c0cb3add3614291cdf26ac24cfc3

Observation bfd36f8f-379d-460d-9fe3-295ac59e3006 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 33

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no resolver link, observed 2026-08-12T00:19:26.664204Z

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source=arxiv_source observed=2026-08-12T00:19:26.664204Z digest=sha256:32ad8c7a3285dc5b770d030e2f32d86b251bd47dae194ee934e0531ab56cd21d

Observation 67a95f07-3efe-47a9-ab99-8c9bcdd11cd2 · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Agentless: Demystifying LLM-based Software Engineering Agents

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.668184Z digest=sha256:d1f31493963cd715800040b4358fae41ac523aaec3c345690ebea74895e88ae1

Observation 8abd30ba-20c7-43a7-b0c4-80799e381cdd · outbound

This paper cites TravelPlanner: A Benchmark for Real-World Planning with Language Agents.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems TravelPlanner: A Benchmark for Real-World Planning with Language Agents

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.672694Z digest=sha256:843e4d6ba456ea29d36f684f4eeb26ef2252bb6e0c4897981d6617aba2169c5d

Observation d3f9d920-8ed1-469d-985f-8d6a13425394 · outbound

This paper cites Knowledge Conflicts for LLMs: A Survey.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Knowledge Conflicts for LLMs: A Survey

Reference 36

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no resolver link, observed 2026-08-12T00:19:26.676326Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.676326Z digest=sha256:76acc0d470accfbeb0e8c3047bb61c6d64027290957f63ca9bf055f993768f4d

Observation 337d6c68-cd29-466a-9160-3f178814a075 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems A-MEM: Agentic Memory for LLM Agents

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.680934Z digest=sha256:b7272975fb92fa68ad34aab8d076495a2a80001179fce909c5e403fac3829231

Observation e329c59b-c97c-4a0f-b57d-90c9d4d61039 · outbound

This paper cites Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:19:27.253503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.684625Z digest=sha256:a7b6c8cf47c420ffd33a216958c8311fa968003fe549fd91badc51455a7b5df7

Observation 330a9e3b-2b0e-406f-8181-3cacc7db9140 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems ReAct: Synergizing Reasoning and Acting in Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T00:19:26.688117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.688117Z digest=sha256:bf3d64e09266dbd24ff134b321e540ae71d5969114323311a068fcbe6d10a785

Observation 02a5be9f-7dd4-405c-9d7a-8d2c4f7662d8 · outbound

This paper cites an unresolved cited work.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:19:27.241528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.692806Z digest=sha256:e2ce305080be4cce529378284acae3be81996c3c8d04a1f322c6c85a6a890865

Observation 09f9a429-a4e1-498f-9484-a00eddb731f9 · outbound

This paper cites FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T00:19:26.696718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.696718Z digest=sha256:609be8e099859c98fda0f44056839642a8c84e6fd852902863b32564748332f8

Observation ec67bdd6-0285-454f-b599-5539f088fe9e · outbound

This paper cites NATURAL PLAN: Benchmarking LLMs on Natural Language Planning.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems NATURAL PLAN: Benchmarking LLMs on Natural Language Planning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T00:19:26.701486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.701486Z digest=sha256:3497d748eb341d056fe8105b9970d20337053feeb5fe09f44f1862f0b47e3142

Observation 1898d942-8827-4731-9c3d-87c25e615280 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T00:19:26.705272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.705272Z digest=sha256:c8376ef798990ff9f50ace9fae0a3d3046b2d7e1afb527aad54db2f69bbac783

Observation 76de6f7d-de58-4184-8d7c-4e45ae1b10b3 · outbound

This paper cites an unresolved cited work.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:19:27.229925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.709015Z digest=sha256:90703420e7f2a3881dc8fdba07d41c75846ff3285b69063e68548c35e90950fc

Observation f4ae48c1-d96a-4936-8057-d65e31ffd992 · outbound

This paper cites an unresolved cited work.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:19:27.218491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.712449Z digest=sha256:2e4c6d5827b243f0aee4f69fc0f204b4ec2db89ff546f2940af0a298dc3c71a4

Observation 293cc16d-d670-42c7-b361-f5d91a5fdcb9 · outbound

This paper cites an unresolved cited work.

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:19:27.206213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.716482Z digest=sha256:1eea022c48309dcc81bbd85298d03f2289c919b397b1e5ccd88310c959875d91

Pith citing papers

No inbound Pith citation observations are available.