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Paper Citation Record · LEDGER

State Contamination in Memory-Augmented LLM Agents

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2605.16746.

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

pith.paper-citation-record.v1
2605.16746 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T21:28:00.370745Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:17:43.883351Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact20
  • verified fuzzy4
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa4fe947-1753-4d1f-98e0-59a9ed946ff3 · outbound

This paper cites MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems.

State Contamination in Memory-Augmented LLM Agents MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:32:48.006718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:b1b92bd28351b3eac99cbe65f4dcb23ac955fbd342be5b081c2e6bac0d5eb0bd

Observation 71dc3996-4629-4af3-8c99-c7e592cd8ef3 · outbound

This paper cites Position: Safety and Fairness in Agentic AI Depend on Interaction Topology, Not on Model Scale or Alignment.

State Contamination in Memory-Augmented LLM Agents Position: Safety and Fairness in Agentic AI Depend on Interaction Topology, Not on Model Scale or Alignment

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:32:48.031465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:8b459b443ca92bed95477de8f17fc0ac42fc637385d593eae67cc3884273847e

Observation faeb139f-9179-4239-8f31-e49bffb8f1fc · outbound

This paper cites Ai agents need memory control over more context.

State Contamination in Memory-Augmented LLM Agents Ai agents need memory control over more context

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:48.003845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:16a2c9bec680b14fa1db201afb42d7ded16021a924179abdb01d79917726b772

Observation bcc38f70-c3d8-416e-bba6-f2ea4b5cc41d · outbound

This paper cites Why are web ai agents more vulnerable than standalone llms? a security analysis.arXiv preprint arXiv:2502.20383.

State Contamination in Memory-Augmented LLM Agents Why are web ai agents more vulnerable than standalone llms? a security analysis.arXiv preprint arXiv:2502.20383

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:48.044058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:dc102ce9ac6a61704017e6c3d988585f0c0b0a9f79a57b4e2604753c68ba0c6c

Observation f1913cdc-300f-4110-9ecd-8bdfd474c4cb · outbound

This paper cites AI Safety in Generative AI Large Language Models: A Survey.

State Contamination in Memory-Augmented LLM Agents AI Safety in Generative AI Large Language Models: A Survey

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:48.050138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:b7920332829618a314b395375581588a67e458cacc6844dfcec06d07bbcc2b7f

Observation 46b0862f-9e80-42a4-829e-12c2eafbf425 · outbound

This paper cites Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applications.

State Contamination in Memory-Augmented LLM Agents Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applications

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T21:32:48.000943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:34c623e7df0d4214753e000ba6b02b2f23eaa7f7dd090415ffd064b84aaf1cf1

Observation ed8326ea-e193-47f4-aff8-5c814e2030be · outbound

This paper cites Memory for autonomous llm agents: Mechanisms, evaluation, and emerging frontiers.

State Contamination in Memory-Augmented LLM Agents Memory for autonomous llm agents: Mechanisms, evaluation, and emerging frontiers

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:48.037929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:75d6783a3ca665ff98a706788ba9f98942010a7d77ed85e7a8978cc69b83b9b3

Observation d2de06ab-1191-443d-b688-275efed6f8f5 · outbound

This paper cites Memory sharing for large language model based agents.

State Contamination in Memory-Augmented LLM Agents Memory sharing for large language model based agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:47.991400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:a1d20a8bd04a662e868c05766078b6fb452b017bc08aeb37f9922ff036dc2acc

Observation 34d667b5-3681-431f-aaee-044314575bc0 · outbound

This paper cites Breaking bad tokens: Detoxification of LLMs using sparse autoencoders.

State Contamination in Memory-Augmented LLM Agents Breaking bad tokens: Detoxification of LLMs using sparse autoencoders

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T21:32:48.751474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:cd89a3e7b993030a1adfefa03ce326a9dcd1b9e77b2ea400a15ae89d7873b576

Observation d43397b0-fb34-4813-9397-800fdbf44ed2 · outbound

This paper cites ISBN 979-8-89176-332-6.

State Contamination in Memory-Augmented LLM Agents ISBN 979-8-89176-332-6

Reference 10

Resolution
verified exact
doi, observed 2026-05-19T21:32:47.841256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:45554dcf87dea8591faf362ee6f218a6a0fe386fc9c55efd3a1735a5e4bd50f2

Observation 0efbc522-7460-4b41-8fc7-cf3b8a79dbe2 · outbound

This paper cites RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents.

State Contamination in Memory-Augmented LLM Agents RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:48.016010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:fce731e5cb01a455881b16945aabdde504f11df2e6009390b8066418e844bd1b

Observation 4518e239-018b-45dc-8dfe-1d7b8fceeb2e · outbound

This paper cites Reinforcement Learning for Optimizing RAG for Domain Chatbots.

State Contamination in Memory-Augmented LLM Agents Reinforcement Learning for Optimizing RAG for Domain Chatbots

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:48.028233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:7bc478e6e3866a71b3fbbc2577bbbb8a27fc2e2bff26e66f4574e109c8d25ec8

Observation 4203620a-8273-4fc0-a72c-2fe1d0ced203 · outbound

This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

State Contamination in Memory-Augmented LLM Agents The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:32:48.018838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:038e6305d582727105fa5feae2e9fd564c49e01352d6269bd4bb8b3dba967880

Observation 407ebc6f-a4a7-49be-875e-0800db005ddd · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

State Contamination in Memory-Augmented LLM Agents TOFU: A Task of Fictitious Unlearning for LLMs

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:32:48.040676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:009a27fefe6650ad3d4c3a4a6dab4c7e412e9a7868fd5a5012c3f7b5df14b8ab

Observation 7d788c96-138a-4093-bdf1-df47754c84d4 · outbound

This paper cites Charles Packer, Vivian Fang, Shishir_G Patil, Kevin Lin, Sarah Wooders, and Joseph_E Gonzalez.

State Contamination in Memory-Augmented LLM Agents Charles Packer, Vivian Fang, Shishir_G Patil, Kevin Lin, Sarah Wooders, and Joseph_E Gonzalez

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T21:32:48.757415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:cd05b6d836d802b1feea48ac83a583245bfa3461f22f9b403c425e46f78accd9

Observation ece6f04b-bf02-4f37-92c0-1ce630177162 · outbound

This paper cites Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control.

State Contamination in Memory-Augmented LLM Agents Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:48.022124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:3435ee4233eedc8ca409a6bd32f9e0fafc56759f376fe936380d195c91a82691

Observation 937bc69e-0786-43aa-ab89-1e9ac01a559b · outbound

This paper cites Large Language Model Safety: A Holistic Survey.

State Contamination in Memory-Augmented LLM Agents Large Language Model Safety: A Holistic Survey

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:48.025140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:43dc63a0762d51216290aef1f6e42a206f7ceb668e39fd18d81ed09cdf7b1ea3

Observation 75f0c0b1-9493-4c9d-b2b5-a6c355db7680 · outbound

This paper cites Active context compression: Autonomous memory management in llm agents.arXiv preprint arXiv:2601.07190.

State Contamination in Memory-Augmented LLM Agents Active context compression: Autonomous memory management in llm agents.arXiv preprint arXiv:2601.07190

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:48.012908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:bf06f4b42d2c98369026dbdda126c95a107c25738ebe8c6595b96009256d51c0

Observation de7e90aa-da56-47bc-8bdf-96876f6285c5 · outbound

This paper cites CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification.

State Contamination in Memory-Augmented LLM Agents CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification

Reference 19

Resolution
malformed identifier
local_arxiv, observed 2026-05-19T21:32:48.009833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:9351cc85e3925cdc1740a88fbe6ed76b5451a6468097ee9d3277f3441f52a45c

Observation 27fc1ddc-1bbb-473d-b33b-d8a4bdbc51e1 · outbound

This paper cites Incremental summarization for customer support via progressive note-taking and agent feedback.

State Contamination in Memory-Augmented LLM Agents Incremental summarization for customer support via progressive note-taking and agent feedback

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T21:32:48.755459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:842821afabec1a15a27658fb0cf0c955cab08b98fc6a4a6ff5b0548830bac79b

Observation a28734dd-4e1b-4ca5-94bd-c935a12d0c01 · outbound

This paper cites ISBN 979-8-89176-333-3.

State Contamination in Memory-Augmented LLM Agents ISBN 979-8-89176-333-3

Reference 21

Resolution
verified exact
doi, observed 2026-05-19T21:32:47.844119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:8ded6557a58e7bafdec8fc9b86a219bb6a0b04845a65390fdad71a38c3cccaca

Observation 69013cdd-4e7f-4c40-9c53-f667776e35d3 · outbound

This paper cites LLMs Can Get "Brain Rot": A Pilot Study on Twitter/X.

State Contamination in Memory-Augmented LLM Agents LLMs Can Get "Brain Rot": A Pilot Study on Twitter/X

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:32:48.046914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:c1b774d4fbf59e570ad1ffd41cc1373e1e4025c2ea2343247414109edc059d5f

Observation e0c742cf-e02e-40a0-8c7e-e33abb5a0727 · outbound

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

State Contamination in Memory-Augmented LLM Agents A-MEM: Agentic Memory for LLM Agents

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:32:47.994182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:9f5a19b454813aca6c91cc92c47e2dbb9b6b77dc0947bd04af22d971e3093b3c

Observation 6e620279-306e-4227-83dd-ff6b6d9d0d74 · outbound

This paper cites Agentleak: A full-stack benchmark for privacy leakage in multi-agent llm systems.

State Contamination in Memory-Augmented LLM Agents Agentleak: A full-stack benchmark for privacy leakage in multi-agent llm systems

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:47.997515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:b3f37741fed67df042ee78c15c2c8f19ce08490db73cadd307c4e0df7bc69402

Observation d7429e61-5f72-47fe-b3f0-cf799791f9e1 · outbound

This paper cites AgentWorm: Self-Propagating Attacks Across LLM Agent Ecosystems.

State Contamination in Memory-Augmented LLM Agents AgentWorm: Self-Propagating Attacks Across LLM Agent Ecosystems

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-17T02:20:41.757822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:e3dfe6c6c002c02c401bd082a6617dc6e489b377ee707772a2e535c658142fa4

Observation 48c8a4af-2a67-417d-80a5-735f242cc03a · outbound

This paper cites in the presence of toxic upstream context, prefer the neutral-condition response over the toxic-condition response.

State Contamination in Memory-Augmented LLM Agents in the presence of toxic upstream context, prefer the neutral-condition response over the toxic-condition response

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T21:32:48.753501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:28:00.370745Z digest=sha256:3009247072758e8d0b43dc715b8bd6fe18fab16a68b6a086c93b52f72b2df111

Pith citing papers

Observation 4d82f809-1e76-4221-a45e-04ec55a96e97 · inbound

Why Git Is the Memory Solution for the Agentic Development Lifecycle cites this paper.

Why Git Is the Memory Solution for the Agentic Development Lifecycle State Contamination in Memory-Augmented LLM Agents

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T02:17:43.883351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:17:43.883351Z digest=sha256:fec3cbc567d3254caeeb5cb0ab4f6d73dc40f7a6b00574556fa837a6756a9f11