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Paper Citation Record · LEDGER

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

As of 5 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 2026-08-05T06:32:48.257954+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:bad60e5fd4b4a5719241b2c5a1dfca317bacf3f7c0026e87194435677db3c293

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:fa16bbd359930bd49de55095ef22578bc03bccd851f940e4053ad7ec62595e4b

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=sha256:8b4967b201ff6fd7c592b4b3925f299f45c0f2d1b8870ab1d1d03d7c56a2c542

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

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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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:bb146a73187ae5d02af2fe28498345fcbfd4621fc0725f078ce13cbfb5ab347d

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=sha256:679a4632e331f56c7dab886162f09576096765078df016085c3d31658d36591a

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

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:44fb8676347997943a99bb55941c9bebcac6029c87aea94baa1047b99fc2f1cd

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=sha256:1c23f286d1fa0241f3e184ed9d366dc64b34c0bd8bc72693a2eb064399f07ed9

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=sha256:68a501092e305c9905de975f9b121eb54b703e2aadb02b505f57ea0fccc782d0

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:19a3912c4866e9f5452a7e4eed7f71131d4773e80b324e3c6763230eff2f613e

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:ce292189f9ea8fb1f8b0303bae9646043e46db98779d8c3356a1237150271c76

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=sha256:209a37f7555d8f5fc5238b9f97baf150fdfea7ca9c3486005274b626ba049af9

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=sha256:98e8a077874be18017a01792389352ca9a5c7f9363b2483a459ec42e912da586

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=sha256:91079278c8e5973d68c142642a1c101780ad60cf8c2bb7612180f45ba137de9c

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:a41995ecc7ba6acecac57ee9ed4aa8014640c08f25384293f2715af69337f0c2

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=sha256:4dc6d57640efcc7658de008b36b57e4d5b4e4c036416a1dadc7e825ddf965d94

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=sha256:6d18f56203767e095e10c0c745f988766912eaa35d861935112600ab417b71f1

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=sha256:3ca9b5c5adbf51b70e419c789f73a2f128b0c5be5dee2f6a75ef4f3fcc753062

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=sha256:0c51e7cfa81f90c1e638d3ced0e50c6df89f9be7b5e3fa1222c676ee08b7a706

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:bb33cb2a6953f3905f6999f649480f22097f40ff5fcff741d0c29bc7b600d3b7

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:acd7847629814c1cd04af7c71c652e7e2275ff2363dc3a7e5bfec76760152f3b

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=sha256:84db90a835925590b362679095654783b0d0f3f8ee7152a2c0a70519e54ec203

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:f08e2432d5c1b45f4ef8fb0a4dbaddb60a0027c636e0c49169e6ce0238d7e53b

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:e5fdb71129ba78d4530d9bddc32d05b9e9765a64029a1cd7fd0d1e5dbc192a35

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=sha256:10933d9caa386bfaefe38db99e57416f6503ee68436dc540873eae5031ca01f6

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=sha256:890a806c5a55e691672cb43d4971a36e1e949a76995c0248cba0fc4dca6867ec

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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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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:7a202644c1af5cba13174252f4ac692bea63536df6a5107703a78f7e20078550

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T06:28:04.239773Z digest=sha256:f97cef280e7f53cf37678213a91a159836281755670bd9dbe18243098f0ddeee

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=sha256:77722e9f8c64184368c2e481d81755b3917a6d24fc7860f2be3146f5f172743b