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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.273056Z digest=sha256:0ecec1b39eb7727bfc5db152432443d9bdc3344233c0769ae6056807586100d2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.276982Z digest=sha256:b0f050e7fd98e598c154bbaeed4eb2e4295379fed100389979d014797b1bb3a5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.280880Z digest=sha256:83bddcf941374c52369d5185a1a423b1d1bfa49f4de1583ab678ba83acbd08ca

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.284152Z digest=sha256:79ea67ccdce3a454d67703f8aa153ea8c2a078052645702c113d0a3ecec553f8

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

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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:b4a86f339eb61ad63ad99e1b5284d88e9c0fc841cdaa9ad7f49b94dc32f3f4b8

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.291806Z digest=sha256:af3d28285a59a71c0baa3ba827ce48a62be7f7492ad52aff82f5e62d58e2f440

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.295077Z digest=sha256:8dac2c17efd44f7abcaca469dc719e70e3a68fed3bdb5e251e444be5c562c45b

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
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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=sha256:328d6640908385e7607826a40ace26bbd39cac0a089f24721336b90a93f80d10

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
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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=sha256:59817fea3560504c547d1ea1a4730520ea6abde258e7a95db31a29f4e40f6db1

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

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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=sha256:52fd9520da27e8bba6ecf42d85a06d2bbe29df975c00945e4c4d8c4cbf3b8574

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.309554Z digest=sha256:7bfba86a5c556b64d104d22682ed6f181b901121bf4165e8cc18659ec6d674b2

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
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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:f1950d70394a7f9b3e615cc86ab4018f2988e6a290d06059440fe6bbcf1a278d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.317148Z digest=sha256:6e84a3cf02a120eab8ce5f3ee2671695761418a23179169c36543417bad751bf

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.320934Z digest=sha256:7c4baf5b9d45d67d3c4701516b561ca8e6267750593a72f6513a796fc947b5e8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.324338Z digest=sha256:f10d89e0e2eee92fe77ec1af6b369281fca5bdd7cfd6325b7e4644fd6e2e5a2b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.328528Z digest=sha256:1b95ea1283c95acf925e48a868e38bbcfd44368064d82aa8eba519de5fd0932d

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

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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=sha256:806af7e4862408e5d7364d6d9c9348870b595b50e6fac6e54c24e725b1701b42

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.335967Z digest=sha256:dad8d9b7c62709e3591be8d2efb581f21fdcde7805202fb94fa1727d8f38371c

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
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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:e31120be23d0a7b2fe6d8bae58f854d9617a47808d876c61bf1ec3c81bba5591

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
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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.343480Z digest=sha256:1f3c20e1c1ed72c6c1038a7f34a784161c30502a9229413b65be22d95d24a73d

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.347779Z digest=sha256:0e8ff23b0d3b53ab93c52d9319922eb6fb626703effe393a8cbfad206630072f

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
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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.351689Z digest=sha256:6fd03df258e826a82faec51269772b2e6c7040fe4cdc33f9149b44b9f4534891

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

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

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source=pdf_text observed=2026-08-16T00:27:34.354982Z digest=sha256:fcf4b8c33bef8ca36d454a97b7b0465ee91cb53e6c6c085a1bd5a53730517aed

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.358868Z digest=sha256:62900e0d082903b58d1d597d52de5ab34691d1c603237d2609be00b2e59d0153

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

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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:a996c2d34c96c07bc6f7c581e5bf6bca3fb5b6b661957f8d188cc465cf06862e

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
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.366302Z digest=sha256:a447dde1e8e64eaf785bc220660eeffaefbf6c9b1fbc3a493c546daaf85c81c8

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
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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:ea39d1b397c9e64b1d00ca40eff6be5cd4e16d0c7f25e775a370e409f83fbb04

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
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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.373982Z digest=sha256:762f9108fdd560bdf0e3311edc3da389946b16535355b43f54c5b34fb1c202de

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.377545Z digest=sha256:6e5ef5a23aca9ee9f11e6bc60b3f5af11dfee8cd69f33b31d111d77cabf64e05

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
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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.380697Z digest=sha256:7c1ab6da55e242d672cce144d09560808abb6f8dbb06ee396fed798da91bcd2b

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.383512Z digest=sha256:8ea6643944e65879698c86f9d1043711cf14480bf1883c840a6ee1e469b41230

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.386384Z digest=sha256:1f4c7a78f955e981990958e181db57bd9e5f24dc6428462b4efe7af383e6d7d6

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:34.389654Z digest=sha256:057ad78606c55088639c332b59ffdbebb275eac04deff72fc1be05e0e528584a

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=sha256:0852050fddd62d32d8676020760fdc33cf441712fbc6af8709df444a1e63b986

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=sha256:7c8caa08b6b274d614227a2b5fd280ddd8177989f53606b55b395c069b151126

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:27:34.399962Z digest=sha256:8ace3a1a10fda712f664275d373cb0517e7cfb6d597500842ec4a149cf919b44

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=sha256:8eb8221e90da5f1e39315e5b97a82822b6e464e9e70f5fbb3bfd532007b5201b

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=sha256:10ddd8cc712a0ba6cca00d5f23c70411d3a5ab9fcdc50213c1b02452c6cc8644

Pith citing papers

No inbound Pith citation observations are available.