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Paper Citation Record · LEDGER

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck

As of 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.28103.

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

pith.paper-citation-record.v1
2607.28103 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T17:46:23.949168Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 7c08973b-18d9-4594-849c-82e7038fb752 · outbound

This paper cites O'Brien and Carrie J.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck O'Brien and Carrie J

Reference 1

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source=arxiv_source observed=2026-07-31T17:46:23.803652Z digest=sha256:e0b2d6a9303d84fe5de0f25913efcc00183686ccf2a4b29b30cf578410336728

Observation c48e5dad-17b3-4fd0-b9fc-49bca9031516 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck MemGPT: Towards LLMs as Operating Systems

Reference 2

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source=arxiv_source observed=2026-07-31T17:46:23.807554Z digest=sha256:ef1eff0ddf67ac6bc29ae545577117e6f2369218f6da060b865396310078a46b

Observation de14a3a6-f0c9-467d-ab8b-095371ad36a0 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 3

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source=arxiv_source observed=2026-07-31T17:46:23.811656Z digest=sha256:31e8c3dee99be182648dd49ede06e5d1d0d4accc15a57315af52f461ef640c61

Observation d439083c-e5fb-4d48-9ef5-f912f676274d · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Advances in Neural Information Processing Systems , volume =

Reference 4

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source=arxiv_source observed=2026-07-31T17:46:23.814756Z digest=sha256:341580f418b95c63fc876c6f0ea0eb92ad5441e11bc7cdfaef4a9200410276de

Observation 56c34ad9-3617-4412-8fc0-7930e3134cfd · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 5

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source=arxiv_source observed=2026-07-31T17:46:23.818495Z digest=sha256:447b5cd15400413cfcc1db221752c310664dca6b17c5194f8db7282a030a4439

Observation c5999140-2c8e-4d70-94e9-06874ae77fc8 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 6

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source=arxiv_source observed=2026-07-31T17:46:23.821703Z digest=sha256:e955a3c886858d966f77f5ebcd9a1d17fee15e8cbaba49dead6fa74807c84f53

Observation 9934dacb-ce7c-4f7b-b59b-721652adb787 · outbound

This paper cites Agent Workflow Memory.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Agent Workflow Memory

Reference 7

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source=arxiv_source observed=2026-07-31T17:46:23.825809Z digest=sha256:ce8584489fe5258b3694ddd03405d96d8ce76a91e5aca3fcc86e7e7a22eef5bc

Observation 2f380886-08b1-4d52-a818-429281a2adc2 · outbound

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

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck A-MEM: Agentic Memory for LLM Agents

Reference 8

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source=arxiv_source observed=2026-07-31T17:46:23.829222Z digest=sha256:2716c2594be0d563bef7b9a324886f2839bd13cff53ed0f4c56f5a13c449e2c0

Observation 44f97de1-1a84-495c-a9c0-d383044ee1f5 · outbound

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

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 9

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source=arxiv_source observed=2026-07-31T17:46:23.832817Z digest=sha256:aa4e3d1c0689410eb807c2ec2d90228706a20dbf6654b80c3c110b77e12ca758

Observation ef182251-5805-4a97-8e77-04bb2392b020 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Retrieval-Augmented Generation for Knowledge-Intensive

Reference 10

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source=arxiv_source observed=2026-07-31T17:46:23.836267Z digest=sha256:369187d4d9c5156ea7035f13dedf84b8dec82810392c655f147739aa9aaea8e1

Observation 261d14a0-d3fa-4ff7-b50a-b12a7d319391 · outbound

This paper cites International Conference on Machine Learning , year =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck International Conference on Machine Learning , year =

Reference 11

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source=arxiv_source observed=2026-07-31T17:46:23.839320Z digest=sha256:ebfc3baec2831eff056fff1ad6ccb7c772134c4efc4e239ebf868ec5045644fb

Observation 28c0d103-0bdf-4b36-a235-7def575be072 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Transactions of the Association for Computational Linguistics , volume =

Reference 12

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source=arxiv_source observed=2026-07-31T17:46:23.842141Z digest=sha256:bb5e4e9e90b445527296b2d8f41128585917fba5a6e5cc2ab78281394e12ba1b

Observation f94fbf08-52a6-4016-a183-89252776f4cf · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Advances in Neural Information Processing Systems , volume =

Reference 13

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source=arxiv_source observed=2026-07-31T17:46:23.845046Z digest=sha256:0de0155e189241c8179eb1ff508f1494ba9b9ae501a2f8ed805c3c4c69c4aade

Observation d3e073fa-9d5e-4da7-b54e-80a3696a76bd · outbound

This paper cites 34th USENIX Security Symposium (USENIX Security 25) , year =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck 34th USENIX Security Symposium (USENIX Security 25) , year =

Reference 14

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source=arxiv_source observed=2026-07-31T17:46:23.848123Z digest=sha256:0136c4e13ba22bcc6bbe8d8b17ce971f954e0912a297db9ce068563f55ebb854

Observation 0725d8f9-17df-4c49-bea6-baf03eeb043a · outbound

This paper cites Xiang , title =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Xiang , title =

Reference 15

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source=arxiv_source observed=2026-07-31T17:46:23.851218Z digest=sha256:8507dcaeb9c3b384274490fc2c1bbb2a41f999796e8bf7155fb97abbe8254bab

Observation cfdac341-e3f4-4ea5-9c57-0b19ae02f512 · outbound

This paper cites From Storage to Steering: Memory Control Flow Attacks on LLM Agents.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck From Storage to Steering: Memory Control Flow Attacks on LLM Agents

Reference 16

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source=arxiv_source observed=2026-07-31T17:46:23.853935Z digest=sha256:ee3afd2e2f8a88eb59b64ead0eac05518322c1fb6c27edd4451fe048982d723d

Observation f9d7cce3-d5ea-4a52-a3c1-367866e45109 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck The Thirteenth International Conference on Learning Representations , year =

Reference 17

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source=arxiv_source observed=2026-07-31T17:46:23.857271Z digest=sha256:eb25b45f3cb8c8bb4dadba135e270f16d71c6b2dfe4e7dd36cb705662a5ecfe7

Observation 47fa5051-3887-44cd-a2be-e873279962c2 · outbound

This paper cites 2510.02373 , archivePrefix =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck 2510.02373 , archivePrefix =

Reference 18

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source=arxiv_source observed=2026-07-31T17:46:23.860574Z digest=sha256:b9d430cd8263222d05960ce3bb56450cce48083f76ced0254d0d70a1d072e515

Observation 902d1c32-236d-4e04-ba74-782a040b3b56 · outbound

This paper cites 2405.15556 , archivePrefix =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck 2405.15556 , archivePrefix =

Reference 19

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source=arxiv_source observed=2026-07-31T17:46:23.863733Z digest=sha256:a57e058dbffd157ba2457fa99316da0d41ab9a37869306305d28f15c35943903

Observation c163e01c-8547-4c48-a3c4-c0677bd64f14 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 20

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source=arxiv_source observed=2026-07-31T17:46:23.866741Z digest=sha256:a84aac722cd4f4b509fc4c23b9124d339249da16cea44b1c994a47aaa61f5e76

Observation efffe075-a4b5-43fa-a562-912637f49220 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 21

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source=arxiv_source observed=2026-07-31T17:46:23.869889Z digest=sha256:37f134e2da001e00d5cd2f06c9562fab3ccaa3237e340565e946439524df758d

Observation db29f809-bec0-47b3-ae60-98d0c66cde18 · outbound

This paper cites Detecting Language Model Attacks with Perplexity.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Detecting Language Model Attacks with Perplexity

Reference 22

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source=arxiv_source observed=2026-07-31T17:46:23.873290Z digest=sha256:11f1424406a6d4782d6c00a3f8e96d8ee7a34d5eca980bee4eb7e5143ac2be10

Observation af679f44-3103-442b-9322-6ca2be6c17f3 · outbound

This paper cites MemLineage: Lineage-Guided Enforcement for LLM Agent Memory.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck MemLineage: Lineage-Guided Enforcement for LLM Agent Memory

Reference 23

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source=arxiv_source observed=2026-07-31T17:46:23.876212Z digest=sha256:00add6bb4e85e03155d2391aa90f7e189ea86b794ccffcd8a520d842fb926125

Observation 4f9b0662-ce6a-421f-9925-169b49463b6b · outbound

This paper cites LLMs Get Lost In Multi-Turn Conversation.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck LLMs Get Lost In Multi-Turn Conversation

Reference 24

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source=arxiv_source observed=2026-07-31T17:46:23.879287Z digest=sha256:6a40e90e1e680cf62402adf504c066b628476ffce4ce55cf12c690d58c1e00ff

Observation b3c8fa26-b0da-43e5-b977-cb304515ad21 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 25

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source=arxiv_source observed=2026-07-31T17:46:23.882452Z digest=sha256:99edde9e6107ee5174792b23dc76e985ba9dd8e31a0ae7aeb4ae16cf0309ca0c

Observation bdf2c06f-7985-446b-8d0d-2364a933ef4d · outbound

This paper cites Jimenez and Alexander Wettig and Kilian Lieret and Shunyu Yao and Karthik Narasimhan and Ofir Press , title =.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Jimenez and Alexander Wettig and Kilian Lieret and Shunyu Yao and Karthik Narasimhan and Ofir Press , title =

Reference 26

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source=arxiv_source observed=2026-07-31T17:46:23.886021Z digest=sha256:1bcfb98a3cf4951c3b87a08081135a996dd3122378cbe23405fb3580e1e30e58

Observation 1658ae27-c05e-4e6e-97f1-9af5c99212a7 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 27

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source=arxiv_source observed=2026-07-31T17:46:23.888815Z digest=sha256:5e9a0f2baedfc8a3f735a847ff7c5399522c5273c717a6747a969c816b391bf5

Observation ea623d19-1707-4174-94a5-e47d686c8288 · outbound

This paper cites an unresolved cited work.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-07-31T17:46:23.891819Z digest=sha256:be23ede2337e395f66cef5044111a56848ad6226f5745851c0d30709f3704ba5

Observation 3d2bca2d-2470-4405-ac99-4c5ffcb4d99e · outbound

This paper cites Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors

Reference 29

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source=arxiv_source observed=2026-07-31T17:46:23.894610Z digest=sha256:2f4fcdceebbe16c8e1329d0173d6edbce1ebee4ad26fd31a85e07f3fef1ee6c6

Observation ac83de36-1132-4e1b-b9c5-66a6360e8302 · outbound

This paper cites Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG

Reference 30

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source=arxiv_source observed=2026-07-31T17:46:23.897649Z digest=sha256:5615edc49bee876f188c23402170971cae259e5d77decdd070d41dada197bff1

Observation 8a8269f1-665e-4e24-90c7-baba0136768f · outbound

This paper cites 2019 , eprint=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck 2019 , eprint=

Reference 31

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source=arxiv_source observed=2026-07-31T17:46:23.900609Z digest=sha256:6bb9e75d03fc18b5ce7a9de1ac4164d9716b361d7d33c675b74d366771c84b6f

Observation 30f79c84-e14f-40c0-bb85-cb45e4755ef5 · outbound

This paper cites 2024 , eprint=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck 2024 , eprint=

Reference 32

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source=arxiv_source observed=2026-07-31T17:46:23.903421Z digest=sha256:e7611828014d8f1f7b2ce48a4eb7cc9d58ac7497089105bc5a56a489e8aa7d3e

Observation 3368e622-36bf-4001-ae59-1beba286e275 · outbound

This paper cites and Joseph, Anthony D.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck and Joseph, Anthony D

Reference 33

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source=arxiv_source observed=2026-07-31T17:46:23.906339Z digest=sha256:55a7e1544d9b0da1acf5c09729b29d16a26d624a7ffe3cbd89f0ef1d7a010b67

Observation 794b3415-f3e7-4bd7-94bf-60c8c16cd718 · outbound

This paper cites Proceedings of the 47th International.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Proceedings of the 47th International

Reference 34

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source=arxiv_source observed=2026-07-31T17:46:23.909145Z digest=sha256:9fb69da294e9f95121ff0e382b531b91e1ec6ad9c5ac5fec7fe418deb1b5c49b

Observation 554376d1-03f2-4dea-bd12-9544378c2447 · outbound

This paper cites Deep Research: A Survey of Autonomous Research Agents.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Deep Research: A Survey of Autonomous Research Agents

Reference 35

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source=arxiv_source observed=2026-07-31T17:46:23.911838Z digest=sha256:6e8d2bc8c413c81c99a5d215d5ca11800bfa4443801e5b2cc21b3188b14278d8

Observation a57c6bfb-7bf2-430f-a984-23823d490969 · outbound

This paper cites 2025 , url=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck 2025 , url=

Reference 36

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source=arxiv_source observed=2026-07-31T17:46:23.914892Z digest=sha256:788b61dcc6ab8b1bf5f6749f65d2f51a5dfd8498f5684c45e819f522e01a8e5c

Observation 3a33fddc-a3ad-49ad-83e3-0d3a76b130ef · outbound

This paper cites 2026 , eprint=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck 2026 , eprint=

Reference 37

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source=arxiv_source observed=2026-07-31T17:46:23.917804Z digest=sha256:3b8308a84c818242205c905fa29d3ef97a3307c0aafa1b27b033d1e087084b92

Observation dd74e74e-5f19-4834-9f8a-655f56b4a1cd · outbound

This paper cites The Ninth International Conference on Learning Representations , year=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck The Ninth International Conference on Learning Representations , year=

Reference 38

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no resolver link, observed 2026-07-31T17:46:23.920941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:46:23.920941Z digest=sha256:d8d9d44560ddbe57caed1a2ecf6bcbae89b8d6978a440d9dcafaa9ba9b73a4bc

Observation 241f592b-08fd-48e6-9a2b-36aa60b76cee · outbound

This paper cites Chi and Nathanael Scharli and Denny Zhou , title=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Chi and Nathanael Scharli and Denny Zhou , title=

Reference 39

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unresolved
no resolver link, observed 2026-07-31T17:46:23.923480Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T17:46:23.923480Z digest=sha256:e15654c3c948a4b8b69747d50631bf148842dfeaa091f99d3a9604796b0f3e90

Observation 2d4b71de-07f4-454b-abd6-cdc48b2192f3 · outbound

This paper cites Liu and Kevin Lin and John Hewitt and Ashwin Paranjape and Michele Bevilacqua and Fabio Petroni and Percy Liang , title=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Liu and Kevin Lin and John Hewitt and Ashwin Paranjape and Michele Bevilacqua and Fabio Petroni and Percy Liang , title=

Reference 40

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unresolved
no resolver link, observed 2026-07-31T17:46:23.926135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:46:23.926135Z digest=sha256:73d2328966e20274dbe9664fc5183587e3008493639fa375991ca3c68a2b7e7c

Observation fd4c219a-1c37-4cce-ae62-77fecf3d9b4c · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck The Eleventh International Conference on Learning Representations , year=

Reference 41

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unresolved
no resolver link, observed 2026-07-31T17:46:23.928885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:46:23.928885Z digest=sha256:06583ea6ae304d8dd527d669e943e246c269565c6aff4907755299d73b4d1255

Observation 69f1ec67-4f6b-4c83-b281-351dd005c645 · outbound

This paper cites Pereira and William Bialek , title=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Pereira and William Bialek , title=

Reference 42

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no resolver link, observed 2026-07-31T17:46:23.932644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:46:23.932644Z digest=sha256:59a34be071d639bd09f324476299326769dfee5b2ac71a9d2e4fabeee6e5c898

Observation f9724c41-c59e-494a-a5a6-e27ab5a6a5e5 · outbound

This paper cites Alemi and Ian Fischer and Joshua V.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Alemi and Ian Fischer and Joshua V

Reference 43

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no resolver link, observed 2026-07-31T17:46:23.935354Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T17:46:23.935354Z digest=sha256:b973138931dcaaa1c8f93f2a2c289151f6f05ccbb33fb16ae4c038857a76aed4

Observation 7d45272c-1033-49d0-b4fa-8f3d300e4de8 · outbound

This paper cites Kingma and Max Welling , title=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Kingma and Max Welling , title=

Reference 44

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no resolver link, observed 2026-07-31T17:46:23.938004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:46:23.938004Z digest=sha256:b0281a3179e4df642f678166335e0febf807477a8cacf6983e74476bcb2b9984

Observation c43ca6c8-f80e-48d3-8780-6c13debdc9c8 · outbound

This paper cites 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition , volume=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition , volume=

Reference 45

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unresolved
no resolver link, observed 2026-07-31T17:46:23.940623Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T17:46:23.940623Z digest=sha256:5a0019e17a96b23ac8e33ccc002e3a5c1f92aa829c48eb8fee6b277e16e451bf

Observation 81153578-9886-4240-9f4f-9a2292eaa1e2 · outbound

This paper cites Journal of Machine Learning Research , volume=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck Journal of Machine Learning Research , volume=

Reference 46

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no resolver link, observed 2026-07-31T17:46:23.943815Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T17:46:23.943815Z digest=sha256:79c1dcb57a44d90dde949adfc4fb7417882132bce59defaa6b4fc880a8bc234d

Observation 40763a83-6979-4729-ab6b-8ccee96aaf91 · outbound

This paper cites 2024 , eprint=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck 2024 , eprint=

Reference 47

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no resolver link, observed 2026-07-31T17:46:23.946603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:46:23.946603Z digest=sha256:311d360352bf6fc5690002f2f96aec7808dd4e45ed02dd942c0c18dc31948db8

Observation eb3fc3bd-b890-4ccb-b21e-28e9c4d7e592 · outbound

This paper cites 2025 , eprint=.

MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck 2025 , eprint=

Reference 48

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no resolver link, observed 2026-07-31T17:46:23.949168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:46:23.949168Z digest=sha256:0a0161c128f60586d115a793bcacbff38460a7de470dffd8cdc1dc08eb89b1ae

Pith citing papers

No inbound Pith citation observations are available.