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Paper Citation Record · LEDGER

LatticeMind: A Conflict-Aware Memory Primitive for 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: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 2026-08-20T06:33:59.587034+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=sha256:65c62a630c5ef098abaac56ea04ebdfc5770351cd9cbda093edf75021979efb3

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=sha256:2530a559c298e6afc00eb248f3b5ec48c5f3f70038c9755c3bc9f40f537fec9f

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.536631Z digest=sha256:0139e5dbd75cf324ee83082848b0926e2a3e5a4686d057b7c916e55041ada19f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.541352Z digest=sha256:244e123f97c04d99232624bd431adab47675bec87d9e4035cc07c8ece4fd9442

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=sha256:08763dbd3b5b6df7ae315173d1c687be37681e78a1f45245f8e5d42524367da8

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:cc3fd2eebc9d1ea61aa1001b5a263f34168c538604c3dc3e9f4828ed5ef71024

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

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source=arxiv_source observed=2026-08-12T00:19:26.554371Z digest=sha256:5b13ee966184001647f241243ba6d0bfdcbcd6933fe642edeec66b4e33a8c1f3

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=sha256:2803e10db7f97a4d9c660894973ff9c77c9c4bea6ce22a7dc0ad2fb11c4ea900

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=sha256:0e09443ea34608afeb4387b3930ea559495f154c54b648eed3688ac70d1a00c7

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:bd28535cdfe69d571f9754c7184dd0270daf5b50f1496d3ddab0632ea19f02f2

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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source=arxiv_source observed=2026-08-12T00:19:26.572221Z digest=sha256:010091fc832561f7b7c7d31d6ea0862daa8bef6450c9574abc8cfb4d8ea59581

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:de6337919e6fe4ef4c34c12e41cee9e92b533ea905e2c8ff8d4197bd38bc5dcb

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:c8e285302aca44867165b454ab92963975622429cd6ce747cefad85119cefa18

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.587003Z digest=sha256:10238d5e2254a08902139b5358b9b5f49a0095f9718d92012255a41b405c38d5

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=sha256:684e3d7a7ffcae2533d3ee0b1686fc832b64a9f0c149a45b42b2ccda994ed051

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=sha256:1b0ee14cf3a3ece0c998b3c210da60c6abe3533f70f6a3b4d1d865716371de41

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=sha256:0bc06fbe2648ab5f08f7fbca01c05fa35fe496e33c7ef836782ddd938734001a

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:f215d8cee56547abaa79b147dc11cac11551bcbf8a01840e8aff59900b2c4202

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:f399a15c1cd086fa85da190308f45d58326322e9e097b4f6952c37ba05c03046

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.612432Z digest=sha256:428da9574cbaea609f52c3f3cbfc7a8003ea9ea06efae5f1248bbebdfc5ff8f5

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=sha256:8f5cb5874094548463623b04247b8403a320fd6f96acbd9d7c38f84c2ae74cc6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.620316Z digest=sha256:30e48fca0ec55cc9792178a29c44759191680daa478093708c4f4bb35dc911df

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=sha256:351cefafe7031e7e01017640ad5204669c782b3385ba9d49938a5585914a2b28

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=sha256:7a862c099fd571447b534dcf2d9180992cad6533fe0e7ed31f43e7199d49efaa

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:d43aa5391893f34bc22289ecb2264ec93a365842bf74f835f808be9b15342fa5

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.636111Z digest=sha256:e1a83f7361667c6ca00730e47ad3fe5301b5b87b12df9e280a384970bc8d9578

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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source=arxiv_source observed=2026-08-12T00:19:26.639704Z digest=sha256:8a75c50f9962bd3b3e122a6163eacc244848569c11b38c1ddb3055bb700cf7c3

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:d48932f1eeca05a32ce71e03a930d0bf83b7704b654165e3c869656e2401c5c6

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:d77426a7897e037008b0c7cf9970849ee20080fd2108b2f26408bf415f9abf8e

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:a0df8e126f66a64503ccec142b846fb6eb9520b8cd44a50c963570e45ee16c38

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.655170Z digest=sha256:0f83e1e3e6fedb1bf972ee058e46713505bb596029e8ade2a06fa360f3c04a8d

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:d190b51dd4388ffa324c0b2229619bd20e1f3e8ca1941456b6095d52562cd40c

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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source=arxiv_source observed=2026-08-12T00:19:26.664204Z digest=sha256:f39f05667762bdaa7548606977e1254dee0eb6ad748fb43d30bf50f5db09317b

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=sha256:714a6f3f93a8736b7375fb1a98ed811dd7df87b3bdd37839373e4fb078af0162

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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source=arxiv_source observed=2026-08-12T00:19:26.672694Z digest=sha256:1c4e9ad9ddb4d98ffda9cf34e021df8bb5d55acfd908af8209d09c410a7e8f32

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:f62644bc69a8ae37375b6a2ba663747ff5f27384df2c1589a0fa340f3fb4140a

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:bbbf0ac61567d9d2a57820c6550eddad7cad14dde0678531a258088dd8129e29

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.684625Z digest=sha256:c6d25f8b3d734275e2aff6d389094989e8136a4e953ca7b7d49c909068ed6bcd

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:e3fcc90308a6a69e7ccb0c2d635e36c7586e239341dd67b1ef8c449daa3d93c6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.692806Z digest=sha256:cc5812d7d434a148fc84a2744509b1ed7bef13588b249e152320303fa6f94fca

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=sha256:4369de8fe7b279a29dace0447d07283722b3b980aa0b241a179031cd5ff60dfc

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=sha256:724436310c4da210e2548ed70e6320f75e588a9d0289d48b47d25f724805c2bd

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:a9ce6fc9c13b6584a671af528019344afef744db5d1cf0724ee2b9d362a20eba

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.709015Z digest=sha256:a966ccb68575776338a7360c616bd9829335b7054e26980a3c395b01a0d48ddc

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.712449Z digest=sha256:3338e0528d66edcee4bc4ad9ece39212cdcaef76ffde1592cdc8e69b3a8c2d28

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T00:19:26.716482Z digest=sha256:899c4679c4f12e25b05ab9cc639adb7c42df79cfa3c71f42fd48bf4615e70276

Pith citing papers

No inbound Pith citation observations are available.