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Paper Citation Record · LEDGER

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

As of 13 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:c9f77e1ce378c5cb798eff04b92df2eef8e6b1d057d27199578c301b1efddc2e

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=sha256:4ce8ecda392241a8acd58918e1a4db1fc4dee20eea57d6a4b0c81b3464fecaba

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=sha256:2492aeb9a574f3315671e894513345f3e3abdd3a847a23dfd221256d7908e809

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=sha256:90da5c3f850fa24e658a569c01c2bdee98cc3973beb819037a021e7bd50fec40

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=sha256:6ac4bb11a13e6fe03480cf5207b392992e6675ed9f98daeb2ec55f6d1422da56

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:b8c6daff3a14b0b3b8b5950a7b0f48e023bb4ff0878abc26d30789fd8883363f

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:ccbde117ddf0abaeed5106e7a9b6541089457c934246f0f2457cc6fa7c447609

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=sha256:7f035390e86219c0d3256d2e31f4a9cbdcb187b9b754a46b6a2c0f469bd417fa

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

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source=arxiv_source observed=2026-08-12T00:19:26.563563Z digest=sha256:90acba81c3a7caa0a30b3e9cc0523ab7279a7bb45b97a276e16dc8326baa9be8

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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source=arxiv_source observed=2026-08-12T00:19:26.568193Z digest=sha256:fe5c0ec2d4d96e65187e5663da802a40b0564644a25c1661f78c69e1026ada31

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:cb179fcf017802ba90eb8e02a98cc43500f170659d9eb61c58fff08ee0e2792d

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.577647Z digest=sha256:528668e5e0765484bfe57c6c4157687ca9882b0311df4c47c0b2b0f0482fe369

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=sha256:496eac12c814eb62130f9f345d69c0b76beece4ec725b58df2320037df26e343

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.587003Z digest=sha256:7b41140e5ab7389fd74c09c57f580a820260e6c3deea5a7c946b62dcc24e33a2

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=sha256:29d8e315f7b7f68f1a2e0a18c4a8f5433bd0c0a2233b1f9f1b3b33a1f85fd2d5

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.595252Z digest=sha256:87bbec1c8f67aaa8883964a28209cd96e46e64f5660c33586b7bf1627d24bdf3

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:c72b2a0eb0c23caad78c76684c725bccaec7c16b8d7638364d281d62843ca087

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:f5733617f838416bfcdc231f5bae74771eac97883eecd935a2cccc756c69d821

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=sha256:079834acc19f21941646649413b12a75a02c098d72e344c36092b3563e5df903

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=sha256:0adeabcdc6c8207032f9997fb6ceed94fb4f7331a4cd945673581b2d066dd9f1

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=sha256:850ecc10bc4e83bc6bef00b9921d4c558450fe93f8340595ec65c871c402ed3c

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:df066ec78d4f2ab470c0f89d2c0d99b13b5e05dc2f3305db51bad1eddc54c930

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=sha256:74b1d51aef640350f148fa587cdff02301a52f85130566ad6b6da9ee099f2b2c

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=sha256:17a7d469d232bd6891255fd768877f30fb493f9b17544e888432d82a6499acd6

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.631861Z digest=sha256:29bfb6d0425a01d0783e8d6a07ab6ee09dc6bd727c1385238429fa8c66dee904

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:c0c8b4c979792162971c26ea828f269af37a442686fa952dd7413178a8fd7c2d

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=sha256:03dd54c6968ae85bf99d5576641967ac6b0efc20aefc2e7197a691ea01ce1eac

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=sha256:7f911a93a13b60aef589149d719fb020dd47504daf498acd922795a421366e8d

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=sha256:4ef4b1aa1ff742f54fc20ecd47325544b20d3008a407e57fc1b163b261633be4

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:fa6a9535282f32977301b4f340ac27711cd05fb9c8a58fb8d07f0c42427f0341

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=sha256:4d3ed1fcedce261306f59aff4b4b9dc289f02c11e279bc5a724b64499bd493c7

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:a213cb71d80b2e2f1e594a54f9831cedd731ed34768ef63b4fb5eba11928ec3c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.664204Z digest=sha256:2324f38aaca9df9f4be16f34545c7df12dc4eecd983b3d1e5cb9bb77bcf3d137

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=sha256:6228305d47636a197f6383efc0b27a0d7c54318deff13cc124c7e2fe5207d0cf

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:ad36890451374e2be57521bc7d01276fa6bc4a45255599b02aba525d97aac3b4

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.676326Z digest=sha256:8f031adb48231ca9e7f0cb2c1ac48125532f4e18c7b3463d01409ce63bb7c43c

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=sha256:0aa91a87eb34cb98af7f55394a577b7de33f66f4b52a4d387219474dd31f325a

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=sha256:6c85fe49fc16fbc7635dc64de9f7248886d7db4398f22df1805f9332a2c8ccf2

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:d6c6a83d1e5e7f172746e6c8fed136562ad1a59d281b9f78a2ff7c947fcb15ed

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=sha256:6d60d9aad9001036bbabef255080890c939fa86ca302047391ba8ee325126ae4

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=sha256:92f1ef7b1be49b6131701949ec186686faeffe98e1ada1da368cc82ded75142b

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=sha256:5a5ca4625a52aacbebc370a6eb0571e327f105630350340e48e66f77626590d6

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=sha256:0d700b13b987c6fe5decd07e14d35d9eb8cd36ec60f45c77f0bb640e963e5d79

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=sha256:839ea2eb3117f7fcd5f31c5cea7f6720d4b37f6c3377e513f024328ca46a5980

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=sha256:547d9cd1b07954ce34d635387bd9fab341d46c5b21ab00d1665aa93587cacfa8

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=sha256:2ea0d5cdff67cb49831b168f2b073d9c3da2eaeb4e4dd3c12a953a9673e305b1

Pith citing papers

No inbound Pith citation observations are available.