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Paper Citation Record · LEDGER

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments

As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2606.13681.

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

pith.paper-citation-record.v1
2606.13681 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:28:04.239773Z

measured 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:52:28.692972Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfded27c-1823-4f4c-87d3-150ae922b47f · outbound

This paper cites Workarena++: Towards compositional planning and reasoning-based common knowledge work tasks.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Workarena++: Towards compositional planning and reasoning-based common knowledge work tasks

Reference 1

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:ab3b5cd7fbeca00593fd722e9bfbedc2efcbcaa3b48ac4df2cd343609f6bbecc

Observation 1577a325-bc99-4ed1-8cc4-ba8b1fd3303e · outbound

This paper cites Mem0: Building production-ready AI agents with scalable long-term memory.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Mem0: Building production-ready AI agents with scalable long-term memory

Reference 2

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:e20c80f1defda66a768fd039a3444599e7a152a2187660266e6493c82023af7e

Observation 8eca8143-6ee3-48ca-baff-387422a7cfe5 · outbound

This paper cites Gaia2: Benchmarking LLM agents on dynamic and asynchronous environments.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Gaia2: Benchmarking LLM agents on dynamic and asynchronous environments

Reference 3

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:976a877f662412f2d4dc98bf7c5c0eeb4433f01ba9c9dfca0311df05a6db54d3

Observation 9e3ac820-679b-4ef8-9a86-f691ef50b849 · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:28:34.406759Z

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=2026-06-27T06:28:04.239773Z digest=sha256:97c767319c839a6bf78d38098393c7a76dd7bb58bc4200e21f96a88976e82386

Observation 9a3bcd18-08a7-459a-a443-e4597feee4ff · outbound

This paper cites Gemini 3.1 pro: A smarter model for your most complex tasks.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Gemini 3.1 pro: A smarter model for your most complex tasks

Reference 5

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:50d1745578b9b3fd52287d5a729b05e90295bb20cc86a39c45e49bbc36346820

Observation 677519cd-723d-45ef-b80b-f88a77703780 · outbound

This paper cites Personamem-v2: Towards person- alized intelligence via learning implicit user personas and agentic memory.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Personamem-v2: Towards person- alized intelligence via learning implicit user personas and agentic memory

Reference 6

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verified exact
arxiv_id, observed 2026-07-03T15:28:34.409580Z

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=2026-06-27T06:28:04.239773Z digest=sha256:b17cc9b56e9eb0fc99b429111c0403f4d5b4f673b777353e972f8f9fd72b7471

Observation 94e69d18-ef7f-47da-9b38-56c3b82a67f1 · outbound

This paper cites SWE-bench: Can language models resolve real-world github issues? In The Twelfth International Conference on Learning Representations, 2024.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments SWE-bench: Can language models resolve real-world github issues? In The Twelfth International Conference on Learning Representations, 2024

Reference 7

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:6e0840730b543c8b99c9d137d16acbc460d985a24ee2d48147e80e00a1f8bbd7

Observation 5b706358-e699-458e-9f18-5e2c5e7ba816 · outbound

This paper cites Langgraph documentation.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Langgraph documentation

Reference 8

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:e211ca571a6641a07bcddf41474355effc8da7e98241cb96a6678f623c634080

Observation c5f76af8-c196-4a43-bc1a-80f2d760de53 · outbound

This paper cites RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms

Reference 9

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verified exact
local_arxiv, observed 2026-07-03T15:28:34.411969Z

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=2026-06-27T06:28:04.239773Z digest=sha256:95875b4e3f9077db3ff910f70f00fa913324790cc662947a50e09c084697c5ff

Observation 72225310-f494-463e-8322-a72ba4e53b5f · outbound

This paper cites HorizonBench: Long-Horizon Personalization with Evolving Preferences.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments HorizonBench: Long-Horizon Personalization with Evolving Preferences

Reference 10

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verified exact
local_arxiv, observed 2026-07-03T15:28:34.414371Z

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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=2026-06-27T06:28:04.239773Z digest=sha256:d6dae9c7612908284abbedeab67d5ec9ef741f09972eadf0cf0a9f011a5fe9d8

Observation b49fb080-6552-47cc-a402-83083f37403f · outbound

This paper cites Agentbench: Evaluating LLMs as agents.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Agentbench: Evaluating LLMs as agents

Reference 11

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:5b3f082dc77a45eed201f50ba6d8596f48671167dcc17638ce7e854c582bba4b

Observation d6ffdc40-81df-499e-bc73-2136f096c4c5 · outbound

This paper cites Evaluating very long-term conversational memory of LLM agents.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Evaluating very long-term conversational memory of LLM agents

Reference 12

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:0bb69a18e5b629d569952c2b544673f5c83dbde630499067fc6fe5ae244f10ea

Observation c2642e19-e8fd-43fc-8d96-a9553efb736d · outbound

This paper cites Terminal-bench: Benchmarking agents on hard, realistic tasks in command line interfaces.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Terminal-bench: Benchmarking agents on hard, realistic tasks in command line interfaces

Reference 13

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:11c12aa73d5b60bc506ef79c85848612d8e8286f627fa1581883c491e065dbdf

Observation 2731e283-19a5-43ab-9cd9-88f304859687 · outbound

This paper cites GAIA: a benchmark for general AI assistants.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments GAIA: a benchmark for general AI assistants

Reference 14

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:9dbfc6d418db930a651d6be90f8cbdab8e965715cfe1c8850c2c38e1f00a26da

Observation 776445e6-3131-4c7f-8b7b-fd4ed05b9800 · outbound

This paper cites Kimi k2.6.https://www.kimi.com/ai-models/kimi-k2-6, 2026.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Kimi k2.6.https://www.kimi.com/ai-models/kimi-k2-6, 2026

Reference 15

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:55fb3799398761261cb9863991c3ea19b08b24645025845832aece4d24a3dda6

Observation 0fa65a74-cfd2-437e-911b-8dfb30475443 · outbound

This paper cites Introducing gpt-5.4 mini and nano.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Introducing gpt-5.4 mini and nano

Reference 16

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:475679a8eedebdef21a1b51f762def8270acd8e7662b94bb576ffc94b3a8b059

Observation c84e1795-1d7f-41af-af43-eab8bffbafc1 · outbound

This paper cites Introducing gpt-5.5.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Introducing gpt-5.5

Reference 17

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:fb36b4cf5ddf1cb21a0a678357136533f34ac22dafa5c23b99a8f6612287cc7c

Observation 630d9353-6921-4ef9-8462-735045d256d6 · outbound

This paper cites Qwen3.6-27b: Flagship-level coding in a 27b dense model.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Qwen3.6-27b: Flagship-level coding in a 27b dense model

Reference 18

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:641a52b49e71f7ea0df3f73522dea128a23467b2722de3d215f01b65ce5b3f5d

Observation 828ef558-02a1-4bb1-ba5c-c8bca80f27c7 · outbound

This paper cites Androidworld: A dynamic benchmarking environment for autonomous agents.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Androidworld: A dynamic benchmarking environment for autonomous agents

Reference 19

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:c2d2dea18b79c8eca8867cd7f4fdad640fc8f2637c283f0c62f68d32f52d8efd

Observation 20085e15-2878-49f9-b04f-28c061883d9d · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Reflexion: language agents with verbal reinforcement learning

Reference 20

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:fe7ad8b70ccd68342c51a5a8a0ad8483155f29e175891d2b4b8d465dc7c370f1

Observation d435aa1d-1f8d-4ea8-ac4e-06858471682c · outbound

This paper cites V oyager: An open-ended embodied agent with large language models.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments V oyager: An open-ended embodied agent with large language models

Reference 21

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:1ce4f206a5d4d21a7fd2470fd3af1021ca30a8fc5b19c5e4ec09bda48eedd7ea

Observation 50803861-4203-4168-83de-3a654993333d · outbound

This paper cites Benchmark self-evolving: A multi-agent framework for dynamic LLM evaluation.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Benchmark self-evolving: A multi-agent framework for dynamic LLM evaluation

Reference 22

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:8e6c1c424fff8c273c4ac2813d300f60d17637269f52b3e6954d4d170c2935e4

Observation 27940f5c-8734-4f99-9b30-474e0369d836 · outbound

This paper cites Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H

Reference 23

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:b1db07b63effe759c5bc85a22934ef527a60cdeeadeb57719393f3027ab192c0

Observation a7dbf190-e712-45bc-9b87-26f91d373b6f · outbound

This paper cites A-mem: Agentic memory for LLM agents.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments A-mem: Agentic memory for LLM agents

Reference 24

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:bec6679abaed924b90731fd91a2e508e7266e931ede23046fb01bf08dbf3de22

Observation df072eed-8238-4ad5-a707-97159c39b742 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments React: Synergizing reasoning and acting in language models

Reference 25

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source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:53d59f70a8878d12d07c287b0f3a0e5d4fa4db187ecaa73b4d822256425ddba6

Observation b816ba81-7ddb-427d-b2eb-6894ad4ebb83 · outbound

This paper cites Memento-skills: Let agents design agents.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Memento-skills: Let agents design agents

Reference 26

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verified exact
arxiv_id, observed 2026-07-03T15:28:34.403336Z

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=2026-06-27T06:28:04.239773Z digest=sha256:46001233e5fd1a466ec3f76b7f1e822ef2d96ed2ebf04126277290b65333f45e

Observation 2c7ba042-87e1-4a1c-a0b6-3a85e575d4e3 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 27

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local_arxiv, observed 2026-07-03T15:28:34.400792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T07:08:14.424698+00:00.

source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:7754f107d7d3744adb547891e5d6c11111405bb4de699899a3876fbab1577f36

Pith citing papers

Observation fe28e31e-e60f-459f-91d8-a6e7cfae7a8f · inbound

Mi-Memory: A Lifecycle Memory Framework for Personal AI cites this paper.

Mi-Memory: A Lifecycle Memory Framework for Personal AI EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments

Reference 39

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source=pdf_text observed=2026-08-01T13:52:28.692972Z digest=sha256:1eb716250cdbcfc77d57a4e32bc35c5931bd771db98fdf84165cf83dce0b1b07