Pith. sign in

Paper Citation Record · LEDGER

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.12428.

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

pith.paper-citation-record.v1
2608.12428 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:27:34.406741Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

38 of 38 outbound references displayed

  • verified exact5
  • verified fuzzy14
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36b41707-6e32-44c2-9616-a1661346166b · outbound

This paper cites OpenCode.https://github.com/anomalyco/opencode, 2026.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents OpenCode.https://github.com/anomalyco/opencode, 2026

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.179203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.273056Z digest=sha256:6869b61145ec83a933826863a2f53df801716e7fa95c024374745c65d24e5cd2

Observation b8eec92f-d7e2-4530-b895-0be182f1696d · outbound

This paper cites Claude Code.https://docs.anthropic.com/en/docs/claude-code/overview, 2025.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Claude Code.https://docs.anthropic.com/en/docs/claude-code/overview, 2025

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.168388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.276982Z digest=sha256:cbb8dd82f748ec44c7f2ef64f5f0f481f3ce61efe767ba4fd93cf62a4d3ef12a

Observation 66407af4-ece4-49e1-a167-2097c1eb0c74 · outbound

This paper cites Nested Learning: The Illusion of Deep Learning Architectures.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Nested Learning: The Illusion of Deep Learning Architectures

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.158939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.280880Z digest=sha256:8928882ec4441a761baed4f909c73c7e96acc1923a85a047600f4eff50721bcd

Observation e09a1bb6-e072-4a36-bfa8-5d24e9378148 · outbound

This paper cites ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:27:35.005527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.284152Z digest=sha256:644e24a87672f72f87f060ac1c769aa612f0ffd78917a23ca5c8030942843bdc

Observation 9ac14647-d69f-4739-a890-889625fac194 · outbound

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

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.287882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.287882Z digest=sha256:a9141f8df49661cc1b10e5064e624fcdee376d01c9b5644137bdbd52f1f22348

Observation 7a8e5fc3-b9e1-4545-9a89-f76352e239d4 · outbound

This paper cites MemBrain: Agent-Native Memory for AI Agents.https://github.com/ feelingai-team/MemBrain, 2026.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents MemBrain: Agent-Native Memory for AI Agents.https://github.com/ feelingai-team/MemBrain, 2026

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.147626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.291806Z digest=sha256:d62360477588160ed17681c70f11619c7cf19735ea435d9198c3232429840bb8

Observation cd29532d-1f99-4271-8e62-7b5c422a31b2 · outbound

This paper cites VikingMem: A Memory Base Management System for Stateful LLM-based Applications.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents VikingMem: A Memory Base Management System for Stateful LLM-based Applications

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:27:34.980908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.295077Z digest=sha256:b8b7df4979461ecfa8611b79bc52f937797d6428d00708e2638d8cc6e958e2c0

Observation d63aff70-0777-4a4a-beca-25fb28f836a1 · outbound

This paper cites LatentMem: Customizing Latent Memory for Multi-Agent Systems.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents LatentMem: Customizing Latent Memory for Multi-Agent Systems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.298692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.298692Z digest=sha256:60803322443eccf5f94516f3e53c6338a7cba41d24591554a782a7e064715878

Observation f1798b8c-5935-4b62-853a-a65e30a3c0d8 · outbound

This paper cites From RAG to Memory: Non-Parametric Continual Learning for Large Language Models.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.301924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.301924Z digest=sha256:98378a7013aa31ae63d86f1eadc1b3ab0a3c496ae7392ba93bf724c5be560db7

Observation 5c35dd04-8039-4e29-aec6-3a07f53b2afa · outbound

This paper cites EverMemOS: A Self-Organizing Memory Oper- ating System for Structured Long-Horizon Reasoning.https://arxiv.org/abs/2601.02163, 2026.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents EverMemOS: A Self-Organizing Memory Oper- ating System for Structured Long-Horizon Reasoning.https://arxiv.org/abs/2601.02163, 2026

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.305840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.305840Z digest=sha256:3390219da8a3c6ef14ca84809297c2714c57042122d155fd955539d8ed3326fb

Observation 8a6b3e1d-a622-4ffe-86ee-b59c8aabf5ed · outbound

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

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Evaluating Memory in LLM Agents via In- cremental Multi-Turn Interactions

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.135140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.309554Z digest=sha256:d6a608d643bde3e424eb9e102b350f5241adad9002871e69c5ded0654c56ec9c

Observation 591da3ce-cee5-4f69-b0db-c3b065f87859 · outbound

This paper cites Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.https://arxiv.org/abs/2602.06052, 2026.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.https://arxiv.org/abs/2602.06052, 2026

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.313020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.313020Z digest=sha256:5847a7226694fc85bea141c05ac7197966782c17da0563c12034987a41a899c8

Observation 3b47025f-ec11-4fca-9fc4-fa60d6fb829d · outbound

This paper cites Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent Memory.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent Memory

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:27:34.750836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.317148Z digest=sha256:cd8316a31fd3b3f9fcfb6e0ccc50d71a221fc15cd22d9003b56f7916f97a3594

Observation 22c00a71-b56c-4d91-8108-4e6258e1572f · outbound

This paper cites Taylor, and Dan Roth.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Taylor, and Dan Roth

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.122854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.320934Z digest=sha256:dc57acb369140942c6817d75b9a7f2d6e13288b4b81ff6313d9101193fad29f9

Observation 4b53a249-8fa6-4777-abc9-ddb0b5d5760f · outbound

This paper cites Retain or Consolidate? Budget-Dependent Operator Selection for Language Agent Memory.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Retain or Consolidate? Budget-Dependent Operator Selection for Language Agent Memory

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:27:34.736411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.324338Z digest=sha256:315a383981034e0183b71bd3e74c7fc71d264e8c59530aaa89ec389e1558f6f6

Observation 908b075f-c986-4b2a-9e8c-5dc4282252c9 · outbound

This paper cites Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:27:34.720796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.328528Z digest=sha256:a9371503b4e8d82d3f5d85be3b42a7b1b74bf8f268fcc634dbcc21c287f0cb1b

Observation 03807fa5-5102-4df6-866c-27d52dd15149 · outbound

This paper cites MemOS: A Memory OS for AI System.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents MemOS: A Memory OS for AI System

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.332226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.332226Z digest=sha256:4e7d9ea270ef886668b75ab8086aa59a39330e16bb105e360f35eb4fb3c61521

Observation 2087d055-d849-4bdd-ac42-ad5109c0418f · outbound

This paper cites SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.335967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.335967Z digest=sha256:13d36eab47b5bb53965565d4bb3cc59b892ef5a0d6ea4be0031cc36b29bdcb28

Observation 20c09995-272e-44a1-b76a-190e25638c76 · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of LLM Agents.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.339662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.339662Z digest=sha256:41e5cbcec48098114630590e4c8085e9753a4d1b6c311df8ba59d3230becaf77

Observation 361e5dff-a0de-4786-aacf-a3b60f1f01ae · outbound

This paper cites memU: Your Personal Memory, Across Every Agent.https://github.com/ NevaMind-AI/memU, 2025.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents memU: Your Personal Memory, Across Every Agent.https://github.com/ NevaMind-AI/memU, 2025

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.111902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.343480Z digest=sha256:fcea961fe5b620d9ad99bfbd5fa3d5656d44b9378edcfbdbd72a8f2cff9c362b

Observation bc7d22dc-e296-4ad6-9203-5d9412385c78 · outbound

This paper cites OpenAI Codex CLI.https://github.com/openai/codex, 2025.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents OpenAI Codex CLI.https://github.com/openai/codex, 2025

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.100428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.347779Z digest=sha256:570335b2857f3a77f484d4fc4586a29a673fa8fc482cecf0dbfd714046d850e2

Observation 401dff73-ca6f-42df-aa15-cb006eee88f4 · outbound

This paper cites OpenClaw: An Open Platform for AI Agent Task Execution.https: //docs.openclaw.ai/, 2026.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents OpenClaw: An Open Platform for AI Agent Task Execution.https: //docs.openclaw.ai/, 2026

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.088282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.351689Z digest=sha256:e6794cbeb70300963c10ef2e7b279eec95695d1f582ccf265e5e8064c01fc5ac

Observation a5f4e47c-d017-4bb5-8601-c5ffad137cd1 · outbound

This paper cites SCOPE: Prompt Evolution for Enhancing Agent Effectiveness.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents SCOPE: Prompt Evolution for Enhancing Agent Effectiveness

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.354982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.354982Z digest=sha256:f1fdbbbfb7d4cb95069b4c7e75f95c5312e8315305c3286fd083b8aebcc0d858

Observation 09a781f8-c3e3-4998-b397-109f24d303a5 · outbound

This paper cites MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Re- trieval Augmentation.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Re- trieval Augmentation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.075105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.358868Z digest=sha256:b192acc89a71cc49442bb35ed45aacb00608854ab8b9bd8bc3b1f3346a5eec37

Observation eec96d53-4f67-444b-9a01-bf8f1b192380 · outbound

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

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.362137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.362137Z digest=sha256:83702b7374a862f6ff828606f5740203c7012c6b3c81ca13ab700bb5f2df366b

Observation 0cb8ddf7-00f0-4ad7-bd92-9ce2401c4a3f · outbound

This paper cites SkillGrad: Optimizing Agent Skills Like Gradient Descent.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents SkillGrad: Optimizing Agent Skills Like Gradient Descent

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.366302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.366302Z digest=sha256:6a84d6de1e1da70c6f3cb923f51b03d2ba0ff73e079fbdd2630ec6b1071220a5

Observation efcda376-5ea5-4290-a661-0036a310adcd · outbound

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

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents MIRIX: Multi-Agent Memory System for LLM-Based Agents

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.370190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.370190Z digest=sha256:0a6ca1a2c2df27952d91dee7edb88bbe5a25eb4bd8b3bdc26ecdd7c16cba6803

Observation cf23e5bc-54c5-4c6a-b561-7576c9b203b6 · outbound

This paper cites MemoryLLM: Towards Self-Updatable Large Language Models.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents MemoryLLM: Towards Self-Updatable Large Language Models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.062240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.373982Z digest=sha256:b3f26b2bedfe463abdf4c7bb21fe93ff77c8899084d2552551b8e1582ae35380

Observation 8f0b06bf-da37-44c6-a399-853985fe0ec0 · outbound

This paper cites G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models.https://arxiv.org/abs/2602.00015, 2026.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models.https://arxiv.org/abs/2602.00015, 2026

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.377545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.377545Z digest=sha256:613ac17fd224747a9d0c138071dc2749bcc74fa05bd64b3123ba5e22c3ae4ec2

Observation 510afe31-4fcb-443f-9b87-f8039f0c4db9 · outbound

This paper cites G- Memory: Tracing Hierarchical Memory for Multi-Agent Systems.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents G- Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.049388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.380697Z digest=sha256:516dc78232e284d7f420557134bb795cc305af044cbc4d3ed83b82e002c6bc29

Observation f4099144-e2d2-4722-bf5b-5a7e2184b0ea · outbound

This paper cites MemGen: Weaving Generative Latent Memory for Self-Evolving Agents.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents MemGen: Weaving Generative Latent Memory for Self-Evolving Agents

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.037644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.383512Z digest=sha256:407367022c56eccd98b9de21848e5c902a16e89cbf6950b3e5a5f67893b92976

Observation 10add27a-e89a-4e26-a62e-e3fab8e00419 · outbound

This paper cites MemEvolve: Meta-Evolution of Agent Memory Systems.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents MemEvolve: Meta-Evolution of Agent Memory Systems

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.386384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.386384Z digest=sha256:f381d458d02dd278b1561548d16a75f219c926b1d23079a6f27da740662f02ed

Observation dc0c45b5-da1f-4b2f-81bc-81d670efd570 · outbound

This paper cites MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.389654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.389654Z digest=sha256:e7d35c936843edbe12caad9b0add1bf15680079e581784a863a4ade65837f658

Observation 088f4ee3-bd1a-45d2-ac21-d21549b807d0 · outbound

This paper cites MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.393027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.393027Z digest=sha256:914de3540a5780f90a1ced7e49ba5092f1b9666b205ea9283529cc6e48d35ced

Observation 85417cb2-154d-4597-9ea7-b128cb8a26bd · outbound

This paper cites Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.396387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.396387Z digest=sha256:901d0007459718cfc5e8dd306a0a4495a4c013f602625e627ab429203df0ef72

Observation 2f019dd1-eec6-41a0-bded-43e7dbea14e1 · outbound

This paper cites A Survey on the Memory Mechanism of Large Language Model- based Agents.ACM Transactions on Information Systems, 2025.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents A Survey on the Memory Mechanism of Large Language Model- based Agents.ACM Transactions on Information Systems, 2025

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:27:35.025838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:27:34.399962Z digest=sha256:8b0445b44e77988457200ed04450956a693b0521f51a0d8cb8d6020935e367d3

Observation 5215b1b1-a0d4-48ed-9cb6-b21d95cd9b78 · outbound

This paper cites ExpeL: LLM Agents Are Experiential Learners.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents ExpeL: LLM Agents Are Experiential Learners

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.403462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.403462Z digest=sha256:fba60e8c90af0ada07491ca2dcb246de06d47aeee927a117552d741070e37510

Observation dd0c338e-bc9a-4fdb-87a1-b7bba146746a · outbound

This paper cites entity type.

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents entity type

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:34.406741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.406741Z digest=sha256:241b0e037ce5b9237aeba7331e929369d5257a436fe33b73a3a5f709396ac54d

Pith citing papers

No inbound Pith citation observations are available.