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Paper Citation Record · LEDGER

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

As of 15 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 78 inbound Pith citation observations for arXiv:2507.05257.

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

pith.paper-citation-record.v1
2507.05257 v4

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:36:05.809955Z

measured 142 of 142 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 78 of 78 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:22:00.025745Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

64 of 64 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved51
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation cb024c05-9fb6-4fd9-b01b-b7e8dfe5659a · outbound

This paper cites an unresolved cited work.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-06T19:36:05.786255Z digest=sha256:d6609062b367f4314f0954e7afc78d6595293fd96e8bc1651fff1e82168f0a04

Observation 3f406b13-9b0b-4d08-8fd4-5faedad1a2d5 · outbound

This paper cites LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Reference 2

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source=pdf_text observed=2026-08-06T19:36:05.673893Z digest=sha256:bb4baef3e57baaf73ffc392dca014f13d8c682adbc9383fe8bb1387d2124e82e

Observation 61e863c0-4bbd-46f7-ac7d-3ae972265506 · outbound

This paper cites Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova

Reference 6

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source=pdf_text observed=2026-08-06T19:36:05.685205Z digest=sha256:66f998ece6d3b56666bed631c6b97bf30be4137c2fdb51be048812eb951ff23b

Observation 8fa17c0b-7259-4639-84ee-85b74485d750 · outbound

This paper cites URL https://aclanthology.org/2024.sighan-1.18/.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions URL https://aclanthology.org/2024.sighan-1.18/

Reference 7

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source=pdf_text observed=2026-08-06T19:36:05.687870Z digest=sha256:5ff19f6b8a5635a4f130458fe495dae715fafd4af5807a28c06180a37410e583

Observation bf5fd743-4a73-42c4-8891-34a7448314c8 · outbound

This paper cites AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Reference 9

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source=pdf_text observed=2026-08-06T19:36:05.692193Z digest=sha256:26ea226fd80955fc4f00988de79ea324418c37a3bb113b8c48f609ad856c49f6

Observation f17f3f6f-2faf-46ea-9610-ffe178102da8 · outbound

This paper cites RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 10

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source=pdf_text observed=2026-08-06T19:36:05.694372Z digest=sha256:fe5d75a5748e951644e84a721a24395401bf1ff8b5b7bc3258ce75a6c97b782a

Observation 32fb0704-2b25-4028-81ac-b575479784e0 · outbound

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

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Reference 11

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source=pdf_text observed=2026-08-06T19:36:05.697224Z digest=sha256:3c45b59bc1bbfbda22241380faf2a1b2e618247d3571f3823b56927322fe0d08

Observation 87aa1a07-4aed-4e8a-af28-8581feb6943e · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 12

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source=pdf_text observed=2026-08-06T19:36:05.699722Z digest=sha256:3e76e0e6518253525cef388fe67436355dd9b9f21f1ee6561c2256ed9e5b4ebf

Observation e7d1eed0-b7f6-4d57-ab20-a9248423f5e1 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 13

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source=pdf_text observed=2026-08-06T19:36:05.702005Z digest=sha256:f5ed4bb60525292d7a582e25b570f85cc3dd838402c7d3ccf6dde737b231e0b9

Observation ff6b2f5d-de08-4743-aa02-09393f0c8630 · outbound

This paper cites While for the HippoRAG-v2 method, we follow the same experimental setting as in Gutiérrez et al.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions While for the HippoRAG-v2 method, we follow the same experimental setting as in Gutiérrez et al

Reference 14

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source=pdf_text observed=2026-08-06T19:36:05.803485Z digest=sha256:5d7c1116e4714cb605d8e9b155c58559d04875e4d565db2de35e28154d91b93c

Observation c166612d-70e2-4826-830b-d3e1921ad539 · outbound

This paper cites Memory OS of AI Agent.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Memory OS of AI Agent

Reference 15

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source=pdf_text observed=2026-08-06T19:36:05.706831Z digest=sha256:aeff23f5bb797f48674a7a45dc9e0836153b03d2fd103e9d8abd002843f0e2d1

Observation 92b3d2d0-8b58-4f10-b414-8dcde30572c8 · outbound

This paper cites One Thousand and One Pairs: A "novel" challenge for long-context language models.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 16

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source=pdf_text observed=2026-08-06T19:36:05.708952Z digest=sha256:df594731728889f7caf88fb25404f70de9f4be3e01fc2c7a9a83128f33fb08f4

Observation 3b663590-0ecd-4a31-8d3f-a35d4c007dee · outbound

This paper cites GitHub repository.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions GitHub repository

Reference 17

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source=pdf_text observed=2026-08-06T19:36:05.710767Z digest=sha256:cbd02be6988bdd2f29486857dc81421e4afef7accd7b6c4a5379971a5916bb4d

Observation a0e075c1-422d-47b9-ac89-42d08829cf12 · outbound

This paper cites Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K

Reference 18

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source=pdf_text observed=2026-08-06T19:36:05.712810Z digest=sha256:9d5a6c3ceb26c47c93657f6f651ba6597d1a9a87d76af9752a691701a29cc2eb

Observation f1d14d3c-e6e1-4c94-86d3-f8288cc9d387 · outbound

This paper cites an unresolved cited work.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-06T19:36:05.809955Z digest=sha256:57be4a1693fb5239a6a844a01d918246277963ab81fe2f85cbe21b7ec15cb1d8

Observation e45dec87-cd28-41f6-a99b-9bc62595d241 · outbound

This paper cites LooGLE: Can Long-Context Language Models Understand Long Contexts?.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions LooGLE: Can Long-Context Language Models Understand Long Contexts?

Reference 20

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source=pdf_text observed=2026-08-06T19:36:05.716774Z digest=sha256:3000351465eb72204bb179cf5da3de467396a9ef332d2c3c6ba984074f5952a0

Observation 3aefc12c-ef77-48d2-95bf-bcefbc0d3180 · outbound

This paper cites Learning question classifiers.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Learning question classifiers

Reference 22

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source=pdf_text observed=2026-08-06T19:36:05.720461Z digest=sha256:595cb4202c27b61b33d2de2e62d8755619cb602c8459cd64f7d794bf88239931

Observation ea009ffe-3427-4d2c-b892-99cf611942c7 · outbound

This paper cites Benchmarking Natural Language Understanding Services for building Conversational Agents.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Benchmarking Natural Language Understanding Services for building Conversational Agents

Reference 24

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source=pdf_text observed=2026-08-06T19:36:05.724911Z digest=sha256:c9ad8f3f3e00a730f43d2d3725d9695f42ae780cbb4e8dfae82f65ce76c09c8a

Observation 8950f5d3-5cc9-4931-a4d5-1ef23ab0ada6 · outbound

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

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 25

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source=pdf_text observed=2026-08-06T19:36:05.726753Z digest=sha256:7af1eb2382bc775480a89653da817310748b90afb910371c80064c46bc7fcb9a

Observation 9f1c333d-35f2-45ee-b8a8-c5a57b44463a · outbound

This paper cites Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 26

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source=pdf_text observed=2026-08-06T19:36:05.728667Z digest=sha256:c8b125a63340b30250f33ac4b0bb69997bdb72ac276cb6a26a346773dfcc3e39

Observation c979e8b9-392e-4474-9aea-c4caa49852c9 · outbound

This paper cites 14 Published as a conference paper at ICLR 2026 Cheng Niu, Yuanhao Wu, Juno Zhu, Siliang Xu, Kashun Shum, Randy Zhong, Juntong Song, and Tong Zhang.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions 14 Published as a conference paper at ICLR 2026 Cheng Niu, Yuanhao Wu, Juno Zhu, Siliang Xu, Kashun Shum, Randy Zhong, Juntong Song, and Tong Zhang

Reference 29

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source=pdf_text observed=2026-08-06T19:36:05.735574Z digest=sha256:3d525d9c6c98e7e2fb386bc38fd2589dbf39ca9c5219f7beffc90be0c64a1a20

Observation 15fed6b5-aa89-445e-b614-2be39d1f3586 · outbound

This paper cites Kilt: a benchmark for knowledge intensive language tasks.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Kilt: a benchmark for knowledge intensive language tasks

Reference 30

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source=pdf_text observed=2026-08-06T19:36:05.737841Z digest=sha256:f6ed86713dd57af9dfe217552d0592ef13ef7cddff23a8579e9ea662c8059073

Observation 51708ea8-22a3-40a4-89cb-1fd944e2f55a · outbound

This paper cites Memorag: Boosting long context processing with global memory-enhanced retrieval augmentation.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Memorag: Boosting long context processing with global memory-enhanced retrieval augmentation

Reference 32

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source=pdf_text observed=2026-08-06T19:36:05.741386Z digest=sha256:5c1209946b3f95c6895c80582f49e645247d160ce587592f93259f3f0c957bd4

Observation 37e1b3f2-d7bf-49f7-a04a-eb58c80e9469 · outbound

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

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 33

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source=pdf_text observed=2026-08-06T19:36:05.743144Z digest=sha256:2251cf8865db27c37741b0f31b21b055a356cc265e08fb39eb5c214d8252b9e6

Observation 422e4cda-1794-48d9-9e95-93c8fe6e3787 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 35

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source=pdf_text observed=2026-08-06T19:36:05.747412Z digest=sha256:ded46545692add5bca642157f6395951d333a279d571e1bede5a5b008b2b2362

Observation 92252244-249a-49ec-9a48-fc1d98016de6 · outbound

This paper cites Freshllms: Refreshing large language models with search engine augmentation.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Freshllms: Refreshing large language models with search engine augmentation

Reference 36

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source=pdf_text observed=2026-08-06T19:36:05.749366Z digest=sha256:3b34581795e687d90e25c96283149e0eb65d1847a2720895d37ae3a4e654a594

Observation 99af9aae-2f5e-47a5-a31e-b252d9768f55 · outbound

This paper cites StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns

Reference 37

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source=pdf_text observed=2026-08-06T19:36:05.751022Z digest=sha256:18df2472200a846da5afdbb082dc44307ce102000e03e4de8c8560717c6009c6

Observation 6abbe1cc-a73a-4451-93cb-151c3b6b5170 · outbound

This paper cites NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens

Reference 38

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source=pdf_text observed=2026-08-06T19:36:05.752847Z digest=sha256:34ff9363e9f317760e95b731a4ede34d4156f24faa4b3f99e7feb98e9b956fc8

Observation 17e3b299-2edc-45c4-a2c1-0de8608bea0c · outbound

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

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions MEMORYLLM: Towards Self-Updatable Large Language Models

Reference 39

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source=pdf_text observed=2026-08-06T19:36:05.755195Z digest=sha256:3841830ea845a35804e310d11568d6b21e55fe5d6a632b43ee5ed0415127d84e

Observation 01d6b84d-1b70-4b23-8dd8-451a0831f8e7 · outbound

This paper cites Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, ZexueHe, WeiWang, GholamrezaHaffari, HengJi, andJulianJ.McAuley.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, ZexueHe, WeiWang, GholamrezaHaffari, HengJi, andJulianJ.McAuley

Reference 40

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source=pdf_text observed=2026-08-06T19:36:05.756990Z digest=sha256:2f5770ee599bee20c15a542eeb67706afc74c93d2c22b3bf1b45f73b10ac6652

Observation b18d26d4-f508-41de-b897-e6cbefc84766 · outbound

This paper cites PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings

Reference 42

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source=pdf_text observed=2026-08-06T19:36:05.760391Z digest=sha256:21af51d28e7040a7bf374f6103f55add92793cb6e45437106717166d709bb011

Observation efeef631-7d46-4bf3-8d40-b7f1e7be1bcf · outbound

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

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions A-MEM: Agentic Memory for LLM Agents

Reference 43

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source=pdf_text observed=2026-08-06T19:36:05.762994Z digest=sha256:277c8d905c9463736948308d508516e95d9b41fd3cc27447c676f90cb8589070

Observation f54f1b45-bb90-4b3f-8842-a2cd6ba246c4 · outbound

This paper cites DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels

Reference 44

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source=pdf_text observed=2026-08-06T19:36:05.765402Z digest=sha256:3e8e9a29cab8e607b90b0e92e0a1463f48be337122151649acd7f40972fa8214

Observation 19a2db10-b3d0-44e6-af6f-cc712ef51006 · outbound

This paper cites HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly

Reference 45

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source=pdf_text observed=2026-08-06T19:36:05.767328Z digest=sha256:9f1fe2b30e024d0c715991b3999475b857e3937d017e63febbc32e2f223ee0c6

Observation 67faf2a3-9597-47ff-a17e-6c59578e1aa0 · outbound

This paper cites Explicit memory learning with expectation maximization.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Explicit memory learning with expectation maximization

Reference 46

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source=pdf_text observed=2026-08-06T19:36:05.769189Z digest=sha256:122b151619db6e823b6f470393de5ffa555f2edd62d186b434eb6fc348fd165b

Observation fb6b9d5f-60ed-474d-9808-4430002b9bb7 · outbound

This paper cites MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Reference 47

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source=pdf_text observed=2026-08-06T19:36:05.771071Z digest=sha256:08af761df24fed66ce3566652e7267a23914c72eab1b6c1aa50af0ac289774bd

Observation 924f5862-210d-4215-b241-673c9de81809 · outbound

This paper cites Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 48

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source=pdf_text observed=2026-08-06T19:36:05.772906Z digest=sha256:7ebc7562ea7d8d1d5931ac5294a8d53ed2123d343aa5a5d02d93c4e0fcc8c89a

Observation 85a4ef48-d11c-47c9-ac17-ddb353f18903 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 49

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source=pdf_text observed=2026-08-06T19:36:05.775512Z digest=sha256:b608695131b52fd93f86d76dfddf3bc0b295b6960e2aa5f84fda27d7deb262bf

Observation 68153a1e-a7e9-4e27-bc83-d978f95d489e · outbound

This paper cites MemoryBank: Enhancing Large Language Models with Long-Term Memory.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions MemoryBank: Enhancing Large Language Models with Long-Term Memory

Reference 50

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source=pdf_text observed=2026-08-06T19:36:05.777568Z digest=sha256:70a89e57d514d5bfe36912ec1eb44a67805476538c8a97fded4d228c21671814

Observation bea139d1-4fc7-47ef-8335-6e409b3d6986 · outbound

This paper cites Additionally, we used the LLM to generate character icons, which were later used in the creation of our main plot visualization.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Additionally, we used the LLM to generate character icons, which were later used in the creation of our main plot visualization

Reference 51

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source=pdf_text observed=2026-08-06T19:36:05.780767Z digest=sha256:1cc026a8f612244cbf990f16b4961df467c12eea0e7b525a9289ec7c9e80e58f

Observation f526115f-b434-4937-bd26-416ad3262025 · outbound

This paper cites long context.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions long context

Reference 52

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source=pdf_text observed=2026-08-06T19:36:05.783153Z digest=sha256:6c86a80f15cf92679772b357cade55f92b1e75c32e5696340a3ca7a29d234323

Observation 0876a441-5ab6-4a07-b000-80ee9b46b894 · outbound

This paper cites an unresolved cited work.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-06T19:36:05.789014Z digest=sha256:c07f2478ee5da56ad1f173430a0c7b88342695a17e389333b791ede7b50b2e6d

Observation dec1762a-8ab2-4452-9433-ee56e9893501 · outbound

This paper cites 21 Published as a conference paper at ICLR 2026 (3) Structure-Augmented RAG AgentsRAPTOR (Sarthi et al.,.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions 21 Published as a conference paper at ICLR 2026 (3) Structure-Augmented RAG AgentsRAPTOR (Sarthi et al.,

Reference 55

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source=pdf_text observed=2026-08-06T19:36:05.791396Z digest=sha256:185c9be96f1c13b2e527e3870c18b60c6fd700326c981952a32742f88b318449

Observation 79599c40-a708-4c2e-a1ab-5ab2704134e7 · outbound

This paper cites Be- yond pairwise graph structures, hypergraph-based architectures that capture higher-order group-wise relationships over temporal sequences (Tan et al.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Be- yond pairwise graph structures, hypergraph-based architectures that capture higher-order group-wise relationships over temporal sequences (Tan et al

Reference 56

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:36:05.793407Z digest=sha256:45d4a1de2172c1b47bf67a6530cde697adf131eea0175cb40fa349427bc44d49

Observation 9901243b-76ab-4c98-8594-944b1346dfba · outbound

This paper cites Self-RAG use LLMs as the agent to decide when/what to retrieve and to critique its own outputs.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Self-RAG use LLMs as the agent to decide when/what to retrieve and to critique its own outputs

Reference 57

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raw_fallback, observed 2026-08-06T19:36:06.203015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:36:05.795209Z digest=sha256:8b86b159f6502da4988dd369803d02c25685bd1f9a48800144ed9b0382c3133c

Observation 58286408-5a70-4c48-8411-3e753c167682 · outbound

This paper cites label: {{label}}.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions label: {{label}}

Reference 58

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raw_fallback, observed 2026-08-06T19:36:06.196634Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:36:05.797327Z digest=sha256:7d4ab01b2066fcbdff91526f44ed770dfee6be4066cea6e13349473124160e6b

Observation b1e766ee-2647-45c6-bc9a-ccb3f00c55af · outbound

This paper cites Meanwhile, methods such as Mem0, Cognee and MIRIX need extremely high resources when constructing the memory.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Meanwhile, methods such as Mem0, Cognee and MIRIX need extremely high resources when constructing the memory

Reference 60

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raw_fallback, observed 2026-08-06T19:36:06.183020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:36:05.801344Z digest=sha256:256d2673269b65cc1d802ec4de2e78063309ff01da40685ad1a746f6c86acd4f

Observation 4073b47c-ec71-4074-af0d-f4de066fa8d1 · outbound

This paper cites an unresolved cited work.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Unresolved cited work

Reference 62

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:36:05.805807Z digest=sha256:10fc31891d4b249b104095f5c5335ea18cf709bf588e7197a3335f31d3d8aba6

Observation 02a7d837-26fc-43ba-8480-6b482d7928b2 · outbound

This paper cites Please memorize the following information for future questions.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Please memorize the following information for future questions

Reference 63

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raw_fallback, observed 2026-08-06T19:36:06.165869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:36:05.807776Z digest=sha256:3498b0d9b145b302cf29429d04a2cfc7fa7e8f91ad278726556e1ee554dd31f4

Observation 082ae85d-1790-451d-9fe7-4b6314df445b · outbound

This paper cites However, as the 24 Published as a conference paper at ICLR 2026 Table 7: Overall performance comparison on the datasets for TTL.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions However, as the 24 Published as a conference paper at ICLR 2026 Table 7: Overall performance comparison on the datasets for TTL

Reference 1024

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raw_fallback, observed 2026-08-06T19:36:06.190729Z

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source=pdf_text observed=2026-08-06T19:36:05.799304Z digest=sha256:1dedf784c7cab7d70f3fda1d727f7da29fec3aabeca96e4210e9f402e47e7f78

Observation d77b60e2-6a30-44cd-b91b-52123ab4eeb4 · outbound

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

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 1890

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source=pdf_text observed=2026-08-06T19:36:05.703888Z digest=sha256:67566c519b52e70dcd70adb8b27ee6113c9030185be5e285a9919dc3ea77fcf4

Observation 0cd55111-8bb6-4a6d-9850-76aa95ecf7e2 · outbound

This paper cites URLhttps://pubmed.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions URLhttps://pubmed

Reference 1995

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:36:05.730617Z digest=sha256:ba1ffcc199a5f948cd9375122288a0677b1d04f33548524d7d6a4e7c0af51a0e

Observation b1832c9e-618d-422c-ae80-e03f3c08a739 · outbound

This paper cites BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models

Reference 2002

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local_arxiv, observed 2026-08-06T19:36:06.014683Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:36:05.722657Z digest=sha256:3efcb301f91ce7a9db8b98b8a530e62a3b9059985ca1d446d22986384516988c

Observation 58aa637a-51a3-41e5-abed-4977010684e8 · outbound

This paper cites URLhttps: //pubmed.ncbi.nlm.nih.gov/25206041/.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions URLhttps: //pubmed.ncbi.nlm.nih.gov/25206041/

Reference 2013

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source=pdf_text observed=2026-08-06T19:36:05.689768Z digest=sha256:09bbad20c5e81ae7cac18c6fa0a7e4be1ac3dbfc1b22b76af04245f84238de59

Observation 1f3b99b3-54d5-447c-a80a-f503c5b82ad4 · outbound

This paper cites URL https://www.nature.com/articles/nn.3973.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions URL https://www.nature.com/articles/nn.3973

Reference 2015

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source=pdf_text observed=2026-08-06T19:36:05.758734Z digest=sha256:922fe6c400c21bccd08aab024232a6fd9302bbfe6ea47d14b3f958a49191bfb6

Observation 5723ca7c-df6e-4d43-b8ae-cd3f137532d7 · outbound

This paper cites BMX: Entropy-weighted Similarity and Semantic-enhanced Lexical Search.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions BMX: Entropy-weighted Similarity and Semantic-enhanced Lexical Search

Reference 2018

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source=pdf_text observed=2026-08-06T19:36:05.718592Z digest=sha256:28cf95cd57846eb442b96f4a7a81db2f117b98e311abd36aa5f530ddcb500389

Observation aa7ba318-fe83-4710-95b4-3ecd068a406c · outbound

This paper cites REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation

Reference 2019

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source=pdf_text observed=2026-08-06T19:36:05.714807Z digest=sha256:266d2182d542635d65d02ccb32cd2c086d0b961747275085b721e76ddef56548

Observation b53af23e-2e88-43be-bfcd-f9b485c2fb82 · outbound

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

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 2020

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source=pdf_text observed=2026-08-06T19:36:05.679411Z digest=sha256:bc23b9124a7823c1fb6ad3345d3ae64ccd2357005dbffc8014febf1201fc4cac

Observation 7e1ba629-393b-4237-9d27-5f0e3cdf66ce · outbound

This paper cites Long2rag: Evaluating long-context& long-formretrieval-augmented generationwithkeypoint recall.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Long2rag: Evaluating long-context& long-formretrieval-augmented generationwithkeypoint recall

Reference 2021

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:36:05.739843Z digest=sha256:010fd05035d4625205bca129107c3c7c749c411a5c807b87eb546bbc935cdc21

Observation c3fd6025-7ed3-48ad-89c3-442289975613 · outbound

This paper cites NoLiMa: Long-Context Evaluation Beyond Literal Matching.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions NoLiMa: Long-Context Evaluation Beyond Literal Matching

Reference 2022

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source=pdf_text observed=2026-08-06T19:36:05.732614Z digest=sha256:f2fe16b39e0e03ce4059689a872a39567772a2d3b50ee694a963f5cc16fdbd03

Observation bc46db3b-1351-4e80-8d7b-a31d6291ced5 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 2023

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source=pdf_text observed=2026-08-06T19:36:05.670428Z digest=sha256:eb01ae575bcb5a3243881073a1d5c0dceabc6f836a901b652f001e4364b8e969

Observation 33f45e41-dc6b-4303-a592-d5d6231719a8 · outbound

This paper cites In-Context Learning with Long-Context Models: An In-Depth Exploration.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 2024

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source=pdf_text observed=2026-08-06T19:36:05.677060Z digest=sha256:93bb3787c2630398f155b137d2c8d87744ecb2741a1ff8652d8f4bb9c3889821

Observation 612678c4-7c15-4e86-87c8-eee1f0bd0fb5 · outbound

This paper cites Gemini pro,.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Gemini pro,

Reference 2025

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source=pdf_text observed=2026-08-06T19:36:05.681861Z digest=sha256:cd220fd0d561a2f819fae228a8365b4feb50f8f845f70aab55fa89d67fd2f591

Observation b444065d-8c18-4cf3-89b0-cdd54b31140c · outbound

This paper cites Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models

Reference 2026

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metadata mismatch
local_arxiv, observed 2026-08-06T19:36:05.902961Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:36:05.744978Z digest=sha256:3bb594d41397fa4fa0e5aa1254e7f57325846f9856d1623558979813eaf511d6

Pith citing papers

Observation 873b0090-31ed-4316-a83e-08b949e2f649 · inbound

What Deserves Memory: Adaptive Memory Distillation for LLM Agents cites this paper.

What Deserves Memory: Adaptive Memory Distillation for LLM Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 13

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local_arxiv, observed 2026-05-19T01:11:57.147522Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T01:10:47.164918Z digest=sha256:9ad84651863ae3627dc2305dd1ea141587b9be95d3d0151473355dd2082b9d61

Observation d60501dd-3141-4029-be81-c1e2f3bda9b5 · inbound

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge cites this paper.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 12

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no resolver link, observed 2026-08-03T20:21:02.684560Z

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source=pdf_text observed=2026-08-03T20:21:02.684560Z digest=sha256:1d1fddd6b5f6ae6691a735bbc324b4dadcd93635ceb53b3e5008f6a552360f51

Observation 9db05e04-9d69-4b60-a22f-c1583bec4e0f · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 138

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arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:08c072bcaf350bd319c0d1d3efca6e6bb6142c369ea4a381a6707ccfc4f8b9fd

Observation 585f7491-77dc-4a18-bc03-4a44799f2b66 · inbound

ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking cites this paper.

ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 17

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source=pdf_text observed=2026-08-02T17:49:56.092944Z digest=sha256:4beb0d8049af01977f9d326a0b2839912748791ce2397a8a3bbb180652c5a4c0

Observation caae9f75-6fdd-4103-99ec-1ade4017f1d2 · inbound

Opal: Private Memory for Personal AI cites this paper.

Opal: Private Memory for Personal AI Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 96

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verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T21:09:06.320543Z digest=sha256:eb7acc02cc1457c8229c3175faf2d6c116505ac06b41df1f32ed164df28d173e

Observation 35cace7c-a2da-409b-8350-6d797043bd85 · inbound

FileGram: Grounding Agent Personalization in File-System Behavioral Traces cites this paper.

FileGram: Grounding Agent Personalization in File-System Behavioral Traces Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 8

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verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T19:33:57.643549Z digest=sha256:d0e5a75964077d0f2791bf5230c3a14f33e4ed9cef27d2ecee36f5e2a997b97d

Observation 25195c13-9ad9-435a-919a-666a3bbcd8e1 · inbound

When to Forget: A Memory Governance Primitive cites this paper.

When to Forget: A Memory Governance Primitive Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 13

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verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T16:07:16.323991Z digest=sha256:dd8d594a50357de55dcf6880bf10ff21c2a64682dce303275d911d67047136b1

Observation 995d0f77-7272-4fc3-8784-90a9103fe1ce · inbound

Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents cites this paper.

Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 10

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verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T02:19:57.341402Z digest=sha256:557299f453a59318d045ca65d0438cded1beef87ad3b9653124d4d2fb1eeb2b4

Observation ec1a69a8-2704-4008-b835-b08a6a2230ca · inbound

Stateless Decision Memory for Enterprise AI Agents cites this paper.

Stateless Decision Memory for Enterprise AI Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T00:47:10.913779Z digest=sha256:3f5f9ab5c35160f45d602270283cefbe997d59e5e676ad6a1a74c18e359a100e

Observation a2abca1e-83e5-480a-ba72-90684c493ed5 · inbound

Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents cites this paper.

Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-09T21:07:41.744430Z digest=sha256:7101c5c5920d64ac1a8eb0fe008a7401ef00d5b6839d7c44535d7084f6c99f03

Observation 1c0789fc-a65d-4e9e-b635-8fa8cfe0d86d · inbound

Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration cites this paper.

Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-09T17:13:47.722098Z digest=sha256:1df38246ac0a5509bad3ef9c26be0761ff21d03de1657068b3885f3abbdb8789

Observation fadcfb6a-75fe-461d-ba02-e27f16e3a87a · inbound

Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration cites this paper.

Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-19T17:32:41.646368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T17:30:22.481943Z digest=sha256:40ad10168375a14090ab83260d12a0eb62c6115bcfcb14df88cbc0572252c701

Observation 67d3c27e-7526-49b8-9526-6d04a1e0aa69 · inbound

Belief Memory: Agent Memory Under Partial Observability cites this paper.

Belief Memory: Agent Memory Under Partial Observability Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T12:03:27.387562Z digest=sha256:1cc01ed5645bf5a68a042876b757e885984c3265080113d74d862151195797b1

Observation e79bf668-1cca-498d-b8fd-88b5b77616ba · inbound

Belief Memory: Agent Memory Under Partial Observability cites this paper.

Belief Memory: Agent Memory Under Partial Observability Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T00:48:48.083210Z digest=sha256:fa9011718979b7c189d11cc6d5d746ccf828aa7d2881d7e3ff8ff6202c1c7bcb

Observation ad972bce-6ea9-4d33-a383-774443ba882f · inbound

From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work cites this paper.

From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T09:50:30.639962Z digest=sha256:20460730af4f52d4fae68efc3c534f827fe14bf3e7ad10a12d27a42503ddb017

Observation 40f8bbe7-0126-4103-b74d-99bea1ac773c · inbound

When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory cites this paper.

When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-11T01:15:31.702348Z digest=sha256:72f3497765a8f857b7061c28552cef28e0e6959058d8272379a3157fd5556758

Observation d94d1993-ea8f-4ea5-b9f1-b3d6135d3032 · inbound

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding cites this paper.

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T04:37:46.090777Z digest=sha256:d1f4b9bad49ea2a26b69ea6e9403fafa6d4785c8d7afa5e9f245c9ab299da49d

Observation 11b0dfe3-0e29-416b-9a94-12c529e6cba7 · inbound

MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare cites this paper.

MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T06:38:30.335029Z digest=sha256:d6a023fb07c02175d5a16604048205fa3b10f232fe4a4587ea301e04489985ff

Observation 118d3ff5-adcd-4aa5-902c-e6912f6342a4 · inbound

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory cites this paper.

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 252

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-13T04:45:34.957298Z digest=sha256:1e9695bd8101b0ba9e1177483afb27dde929c2483130bd14e487a988d0128ff3

Observation fe046df1-e3d6-45cf-b31d-097996f7ed3d · inbound

$\delta$-mem: Efficient Online Memory for Large Language Models cites this paper.

$\delta$-mem: Efficient Online Memory for Large Language Models Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T04:08:34.936172Z digest=sha256:02e2bebfdc6f35e53505871fc825f62f1569e0b7adfdde0fb56e1477ff647e84

Observation f155ced3-d941-4ecd-bdf3-648cff76c0f2 · inbound

LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues cites this paper.

LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-13T03:52:58.177144Z digest=sha256:6ae994d2768b052ec107abc2af18879b982caaae6af8ef74a86055ba1ec89e10

Observation 49857c36-8d2d-4301-9d6e-15c4e2a024bf · inbound

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations cites this paper.

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.350099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T01:54:22.009219Z digest=sha256:e955533a260ddf402d6324aad25fe4e83518756368747719323a35938fa38a95

Observation caa6349b-1312-48a0-b62a-f6883ba21977 · inbound

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations cites this paper.

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-20T21:33:46.298546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T21:31:45.854294Z digest=sha256:8226d01cf9be5249429b7fe5ad6b48e6e547b24aa6b3428b74ff3a7ea883d991

Observation 3c765e89-bb59-4196-9f5d-c2cd52212c45 · inbound

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models cites this paper.

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:05:04.186180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T21:00:25.664841Z digest=sha256:ba1bebdd06d5548eaa333b141e338453ef692acfa5d74448b92311b082ec5dd2

Observation 6f9633ee-e28f-48e8-acd3-9c2593d4431a · inbound

SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory cites this paper.

SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:13:40.481526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T19:11:15.761831Z digest=sha256:eb85aff291ce075279f452e9cd28681672660e8fb3efdadfd34f5be45b8c2887

Observation da358440-c146-4827-a0a6-6ff9037c1522 · inbound

Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents cites this paper.

Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T10:53:13.385754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-20T10:51:19.555985Z digest=sha256:255ac09ab62d7d09652c26eb666968a48623fab38d81b3d07512d2ef2779484d

Observation 40564a4e-73d1-4050-a253-25a34c4141ec · inbound

Evaluating Cognitive Age Alignment in Interactive AI Agents cites this paper.

Evaluating Cognitive Age Alignment in Interactive AI Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-20T10:38:12.576125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T10:35:57.643385Z digest=sha256:c91d7667ddef5a240e962f588bf4a4b939b25432a364ac43d21c5cc42f523b33

Observation 5d344df6-2018-4a52-91f9-66ea4c82d29d · inbound

Evaluating Cognitive Age Alignment in Interactive AI Agents cites this paper.

Evaluating Cognitive Age Alignment in Interactive AI Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T10:38:12.226236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T10:35:57.643385Z digest=sha256:05121a275701de6e7a06e8f347da70a381d267caee6045ee4257e449def33aaf

Observation 7d80e3ea-7f06-4e37-b0e9-68a226a0d6a4 · inbound

EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective cites this paper.

EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:38:14.553553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T11:35:23.892275Z digest=sha256:3cff7f6600c503d45f58ba4a64bd09844e3410592ec2ad927460ae95d9002fff

Observation f2f42539-079e-4978-a956-2400a382ba7c · inbound

MemGym: a Long-Horizon Memory Environment for LLM Agents cites this paper.

MemGym: a Long-Horizon Memory Environment for LLM Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.360399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:d02199a04f4e61c1037c00d33bdd96aab20e7eabe52f2256e86c1b24e2169692

Observation 6b68ca7f-6ad1-4a26-8b13-d4227219b882 · inbound

MemConflict: Evaluating Long-Term Memory Systems Under Memory Conflicts cites this paper.

MemConflict: Evaluating Long-Term Memory Systems Under Memory Conflicts Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-21T02:29:25.242954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T02:27:03.246763Z digest=sha256:ffe958c94aa301c074194895e97dbb2423979d5af5b9774e1612aa80659fcc17

Observation f71f3575-81f6-4e66-8b13-959c326bda7a · inbound

MemMark: State-Evolution Attribution Watermarking for Agent Long-Term Memory Systems cites this paper.

MemMark: State-Evolution Attribution Watermarking for Agent Long-Term Memory Systems Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T00:14:04.409020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T00:04:20.261679Z digest=sha256:6bee7e3373b3227719037b3daf63b2dbfcd1de41e98c2d815cac1d7c65e45836

Observation 1212082b-cf32-458f-aeeb-9e199b25e0d0 · inbound

Simulating Human Memory with Language Models cites this paper.

Simulating Human Memory with Language Models Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-06-29T22:04:00.248966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T22:00:26.703406Z digest=sha256:55f9bc0304e65f481549736ac190940cefa004d6892edd29c73f75cff07b8f35

Observation 8002351a-6a68-45ec-8991-80843c22e3cc · inbound

From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents cites this paper.

From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-06-29T21:53:59.191771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-29T21:51:35.378857Z digest=sha256:2f574d086f87e4714e843602cb0cf035290dac9056d7591e97ab983ea564db60

Observation ac5c17c6-5b3b-424b-b2ab-d97a87f2861a · inbound

Connecting the Dots: Benchmarking Reflective Memory in Long-Horizon Dialogue cites this paper.

Connecting the Dots: Benchmarking Reflective Memory in Long-Horizon Dialogue Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T17:42:25.974786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T17:41:06.216002Z digest=sha256:c423b943919add31d8854c4956a27a144381df62c0bf16bcab01adeb62dfba1c

Observation 0a734dca-a12b-4c7c-b0e4-47f854b3d96d · inbound

AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents cites this paper.

AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:56:20.167571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T14:52:49.244423Z digest=sha256:c62503ff984f8a3a22178fa093348796a5efab505b35e9698a0430478fa6e5a7

Observation 6d8d7eed-db1e-4dce-ad42-5b66910c9c91 · inbound

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline cites this paper.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.432874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:21a92f4bf8109b801d77db15f8401208c0ecb7441d64a0decf410387e03c614d

Observation 68dbe67c-50a3-4079-9884-d0aae5e8cfb4 · inbound

From Untrusted Input to Trusted Memory: A Systematic Study of Memory Poisoning Attacks in LLM Agents cites this paper.

From Untrusted Input to Trusted Memory: A Systematic Study of Memory Poisoning Attacks in LLM Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T08:06:47.862139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T06:26:01.964849Z digest=sha256:2309ca22412c7c2a8087ee669bcb271001d76ffa2c766df100b5e6feb74646ad

Observation 80adb033-7902-47b2-9020-345d4e0c71b2 · inbound

Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents cites this paper.

Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-02T08:16:47.959290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T06:14:09.585246Z digest=sha256:233eab85ab85a6af2d60ae55a194a8da57626695fcaa785b39eb14610ca2712e

Observation 6b761d7c-f152-42a2-b229-f677de6ad0f8 · inbound

PersonaTree: Structured Lifecycle Memory for Person Understanding in LLM Agents cites this paper.

PersonaTree: Structured Lifecycle Memory for Person Understanding in LLM Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-07-02T08:16:47.851757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T06:15:46.136701Z digest=sha256:4fe139e0216fac2810376379c6322c008844b771bdefb73725a83df8a1de7e98

Observation e4c39e60-ae9f-4b0e-8d4e-98833cdc7e49 · inbound

When Should Memory Stay Silent: Measuring Memory-Use Boundaries in Memory-Augmented Conversational Agents cites this paper.

When Should Memory Stay Silent: Measuring Memory-Use Boundaries in Memory-Augmented Conversational Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-07-02T12:36:57.208144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T01:57:52.221071Z digest=sha256:0ccc7dba891b6d2dd6810beca386ea437618405d24c01c6ccef6b0393019bfe5

Observation ff148663-cfa9-4be2-bb36-338e33d1dcfb · inbound

Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads cites this paper.

Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-02T13:36:59.285650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T01:10:02.610738Z digest=sha256:573c249475e587e1c0e879908f48cc8e3ea9c8e69d1b63e1e7dd5544596c6eef

Observation cbc89922-0fc3-434c-84bf-e29a9880663c · inbound

M$^3$Exam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions cites this paper.

M$^3$Exam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 63

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metadata mismatch
local_arxiv, observed 2026-07-02T17:07:12.737506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T22:11:37.539615Z digest=sha256:ac000dccedcd2e9272c4f0bb84f62461f45d1f5c7d7cc997fec3affe4b2d2b99

Observation 40927db6-b553-4356-8ebf-c1bf464be01f · inbound

Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents cites this paper.

Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-02T21:17:25.190962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T19:47:08.844690Z digest=sha256:0e3b36afced07246425d2532b88c1b4c34df740f8c11c80b6be2b53a2edfcb8d

Observation feac7f81-7256-4437-a024-091fbc089423 · inbound

ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems cites this paper.

ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:37:26.638357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T18:41:56.982127Z digest=sha256:b84723c2dc9dbcd34041ea90e8a76c15c3310ef0c3cc5bfd8187bd1405a2abfe

Observation f005a7c2-0c17-49bf-825f-f3b949f21a08 · inbound

PROJECTMEM: A Local-First, Event-Sourced Memory and Judgment Layer for AI Coding Agents cites this paper.

PROJECTMEM: A Local-First, Event-Sourced Memory and Judgment Layer for AI Coding Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:17:57.949436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T10:06:26.351938Z digest=sha256:759c65c1a3dc43d47555bbaafea9d267d60500a3bad8b99e7f382fdd05acbca1

Observation f1674cba-1345-4fa8-bbfb-6c72e93795bb · inbound

Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations cites this paper.

Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-07-03T17:28:44.817310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T04:02:58.743426Z digest=sha256:c2bc825cfef2343576928d82b85413d0cc211cfe0adc182f0e2c4d9be6dd7b2e

Observation a89a5074-dae3-4dc6-98f8-2021b0376e63 · inbound

MemTrace: Probing What Final Accuracy Misses in Long-Term Memory cites this paper.

MemTrace: Probing What Final Accuracy Misses in Long-Term Memory Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-03T18:18:49.834111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T03:13:52.804489Z digest=sha256:e7d82ef32a7fc47d6bf4d6cbef1ab533d216e45ed04beed55507945cef476690

Observation 507e44aa-1e1d-45da-a556-c6d18470fe2e · inbound

GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents cites this paper.

GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-03T23:49:02.481534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T21:45:13.494097Z digest=sha256:3ec7dc1f3715651546d98e9b5b24ef752941404c263dc40acdb52ef59883b410

Observation e6d1bced-20f5-4026-9e02-bdb5f5428e15 · inbound

Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games cites this paper.

Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-04T00:19:13.695461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T21:17:02.332687Z digest=sha256:5fc6a7e199efdfbbcad2a16c52b0f218b3a52c4a7b5a2361627ec553538dc982

Observation 4f9fd11c-8d9f-4af5-9f69-b63231ea89a5 · inbound

PACMS: Submodular Context Selection as a Pluggable Engine for LLM Agents cites this paper.

PACMS: Submodular Context Selection as a Pluggable Engine for LLM Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-04T05:39:40.202438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T15:47:29.381248Z digest=sha256:19957e716a300eae6e5caaf53244558016e1cbee8247880990737a3f1a34ca6b

Observation 664d18d7-5d3c-4154-a865-514c62d1a2c0 · inbound

MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery cites this paper.

MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-04T17:09:58.577293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-25T23:57:26.000650Z digest=sha256:cab53ae8800bdcc1346b3a54aa6cbc290dfe1c55e3a3fb769e99c0ef081126c4

Observation b8142d79-a825-4e8c-b376-89fce62537bb · inbound

TRUSTMEM: Learning Trustworthy Memory Consolidation for LLM Agents with Long-Term Memory cites this paper.

TRUSTMEM: Learning Trustworthy Memory Consolidation for LLM Agents with Long-Term Memory Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-04T18:30:01.287152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-25T22:51:47.190143Z digest=sha256:ce935ef982e5405b6a051bd97b1599c4aa06410e5a18966449a9ef9bbb6607cb

Observation 27c9e47a-481a-4aab-b26e-2d047f560b0a · inbound

Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents cites this paper.

Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-01T18:15:58.789575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-29T02:11:19.129682Z digest=sha256:41258f4126d61d082433aebc4d8e4fc6386d9319f365b9b66392fab1999a2415

Observation 819e17da-5acc-4ffe-bce1-a23fe303cc7f · inbound

Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents cites this paper.

Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-01T15:15:48.336375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T03:44:51.320606Z digest=sha256:3c603d9d190427947125ef4a2c477e21806c05808c8a86bf0949329e52a48997

Observation 6770b9b8-0079-4985-a9dc-1f9f0b9e7ad1 · inbound

Object-Centric Environment Modeling for Agentic Tasks cites this paper.

Object-Centric Environment Modeling for Agentic Tasks Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-12T06:39:21.435864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T06:39:21.435864Z digest=sha256:51503674e9f70192aea8b4fe04b150fb55ad99b8cd4f6753d8f431651ba1a0a1

Observation d3a6dc57-6790-450f-a33a-87e0d15fa97c · inbound

Memory in the Loop: In-Process Retrieval as Extended Working Memory for Language Agents cites this paper.

Memory in the Loop: In-Process Retrieval as Extended Working Memory for Language Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-11T03:47:48.305979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-11T03:44:52.659947Z digest=sha256:67b49ffca2bfc3058809f7b8e544b5971243b3c81335da22344afd4e4ba5105d

Observation ce0b981c-8400-4c33-b707-2b8335bb79cd · inbound

Memory in the Loop: In-Process Retrieval as Extended Working Memory for Language Agents cites this paper.

Memory in the Loop: In-Process Retrieval as Extended Working Memory for Language Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T08:31:01.382679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:31:01.382679Z digest=sha256:e110f4a617698c55c46d2ff0f9f040942912bc0454289ffc2a135beb796f26ad

Observation 40f792c7-0594-46c6-8aa6-e99f76a8a2bf · inbound

StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems cites this paper.

StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-08T23:05:44.315445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T22:57:17.097036Z digest=sha256:424cce14b548d45fd3020fafd4b47766b1093ede350edf0157dbfb7213816c45

Observation 0b553bd3-21fc-473c-9d75-8839b2b7c32c · inbound

MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents cites this paper.

MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T01:34:10.887333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:34:10.887333Z digest=sha256:225861fbbf23e310a2b7671c961cdd3a48eb8fae26f0aabaa2d2d860601ba2b6

Observation e15da2fc-225e-4440-bba4-baa2185578eb · inbound

Beyond Memory Leaderboards: Evaluating Scientific Memory as Budgeted Context Restoration cites this paper.

Beyond Memory Leaderboards: Evaluating Scientific Memory as Budgeted Context Restoration Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T19:49:13.134102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:49:13.134102Z digest=sha256:4417ce3339b274dc804d9552412a7efe29fed724ae667468010d99ca6fc7af21

Observation 6109a43c-9d02-4e37-b92d-2fcaa3503b2b · inbound

Supra Cognitive Modes: A Routed Architecture for Agent Memory cites this paper.

Supra Cognitive Modes: A Routed Architecture for Agent Memory Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T13:32:09.947242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:32:09.947242Z digest=sha256:f929d1c723f58e543de82c5fc982085811cc04e3f88e23f564601757d845cc16

Observation 44bc11f9-d132-4585-a71a-13aff7ba2f1a · inbound

Ground Truth First: A Longitudinal Evaluation Instrument for Agent Memory, and the Tenure Crossover in Memory-Architecture Rankings cites this paper.

Ground Truth First: A Longitudinal Evaluation Instrument for Agent Memory, and the Tenure Crossover in Memory-Architecture Rankings Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T06:18:00.581616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:18:00.581616Z digest=sha256:4e4675ae216ee9ead08f0d746a99d4f83ecb4610681dbc176c3a37569491a4d1

Observation fcce9714-91f3-45d7-b85c-4f24be0edf5e · inbound

CHILL-Harness: Counterfactual Harness Learning for Efficient Reasoning in Long-Horizon Agents cites this paper.

CHILL-Harness: Counterfactual Harness Learning for Efficient Reasoning in Long-Horizon Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T01:26:14.409388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T01:26:14.409388Z digest=sha256:1c8817bf720054cb25d9dcff8c5e18b9cbb7927796587b9d6df06c59716dbc9a

Observation cf5b1205-6ac6-496b-8e52-0084a5416136 · inbound

IFCMemoryBench: Evaluating Long-Term Memory of LLM-Based Agents in BIM Information Retrieval cites this paper.

IFCMemoryBench: Evaluating Long-Term Memory of LLM-Based Agents in BIM Information Retrieval Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T07:01:09.082386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:01:09.082386Z digest=sha256:db84b00028757dfd7583495c0cce50b9d55a9ae579f5ba5c462028fdbbac859e

Observation b8f45058-0794-4e43-be46-c246ef87d854 · inbound

ChronoMem: Version Control and Semantic Rollback for Large Language Model Agent Memory cites this paper.

ChronoMem: Version Control and Semantic Rollback for Large Language Model Agent Memory Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T01:42:12.027668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:42:12.027668Z digest=sha256:7bce110d011005378936349105312ec144f8806538c230eb536029f04b5c85e1

Observation f97ae5b0-66f9-4d11-969a-3b7b2d317061 · inbound

ChronoMem: Version Control and Semantic Rollback for Large Language Model Agent Memory cites this paper.

ChronoMem: Version Control and Semantic Rollback for Large Language Model Agent Memory Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T04:16:42.633564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:16:42.633564Z digest=sha256:d0e84741cb79c9dcd421e0af084f45d60a0993adad849279190c8d550d281d1d

Observation f020cb83-627d-4b14-9917-745d45c85c37 · inbound

Reproducing LightMem: Naive RAG Is Just as Good for Memory Management cites this paper.

Reproducing LightMem: Naive RAG Is Just as Good for Memory Management Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T13:39:37.172636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:39:37.172636Z digest=sha256:a4ab2c415297f146e79bd1012d8b06971035fc5ef67a4a574531d234a9057caf

Observation 428a929a-e54f-4a1c-a3a3-8ce9b583daf2 · inbound

AgentMemBench: A Systematic Benchmark for Evaluating Long-Term Memory Management Strategies in Conversational AI Agents cites this paper.

AgentMemBench: A Systematic Benchmark for Evaluating Long-Term Memory Management Strategies in Conversational AI Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T03:02:53.817592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:02:53.817592Z digest=sha256:b36518e9914d5b0738baf5c31c57e1beacf008506ddfe2f8ede34da610dbfd7a

Observation dd959e50-629f-4fc6-be8f-66e27fe4e6db · inbound

DP-MemView: A Memory Interface for Attribute-Level Transcript Privacy in Long-Term LLM Agents cites this paper.

DP-MemView: A Memory Interface for Attribute-Level Transcript Privacy in Long-Term LLM Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T01:13:09.530776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:13:09.530776Z digest=sha256:cd862509e19e757717b68cb0357c121ac7655f577a6cb664981f50fe5b821af1

Observation 9352b4a7-9b84-4117-8b7b-eba79b48cbd3 · inbound

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models cites this paper.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.960465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.960465Z digest=sha256:9cd6de4a87309709d90342597b335510787e8de5cee5d88469c4da6378cd33ec

Observation 5f5c804e-537e-4115-84b7-437a0745314c · inbound

Caching for the Future: Scrub Jay Episodic Memory Principles for Agent Memory Systems cites this paper.

Caching for the Future: Scrub Jay Episodic Memory Principles for Agent Memory Systems Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-06T17:36:31.513494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:36:31.513494Z digest=sha256:0340e1df881d08ff57eda0ed120d09aea405591fdf4105b1e6b0c472e9f71c38

Observation 772fc02a-582d-4e54-b85c-a10830a34981 · inbound

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning cites this paper.

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T04:30:39.961952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:39.961952Z digest=sha256:2586452b5d3732055e5015ac4a835dd99b35a96b2c9c64f78cfb9fe6963a713d

Observation 97ef2d98-8afa-49b8-bd43-b1ff1fe8c214 · inbound

From Test-Time Scaling to Reusable Memory: Measuring Crystallization in Text-to-SQL cites this paper.

From Test-Time Scaling to Reusable Memory: Measuring Crystallization in Text-to-SQL Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T12:45:16.627302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:45:16.627302Z digest=sha256:15e5d68d7aaffac30948b6cbd8642c3df8e1fb61223c36b756b220931b614b62

Observation 379e6e30-05ae-4546-9112-4f4ce001d624 · inbound

TEPA: Revoking Stale Memories for Conflict-Robust Language Agents cites this paper.

TEPA: Revoking Stale Memories for Conflict-Robust Language Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T04:49:32.940001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:49:32.940001Z digest=sha256:1e33cbd87eb89febe209bf7cc26848ab0af78a5d3e7d6186d2c4ec9b9295d045

Observation 7f7030a8-2dec-4a53-b0a1-dcd0b51b73a0 · inbound

TEPA: Revoking Stale Memories for Conflict-Robust Language Agents cites this paper.

TEPA: Revoking Stale Memories for Conflict-Robust Language Agents Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T04:17:01.406550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:17:01.406550Z digest=sha256:5d879094027e9687d73633118121f789666cd675ad2a365f0fcda3a3edbb10a3

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

LatticeMind: A Conflict-Aware Memory Primitive for Multi-Agent Systems cites this paper.

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

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T00:19:26.568193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:19:26.568193Z digest=sha256:1dd6c8c22298d2186f9e02bf27a29e8c8ce52c571373695ba237cea9585565a7

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SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information cites this paper.

SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

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