Pith. sign in

Paper Citation Record · LEDGER

MemGym: a Long-Horizon Memory Environment for LLM Agents

As of 23 July 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2605.20833.

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

pith.paper-citation-record.v1
2605.20833 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T04:58:41.043782Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+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

65 of 65 outbound references displayed

  • verified exact25
  • verified fuzzy37
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a89c373e-0454-4fa7-a388-af4c88a42362 · outbound

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

MemGym: a Long-Horizon Memory Environment for LLM Agents MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.375306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:f519a2c05ed5ed124108b602e8f1b5c4feb869046bd0283b0690b3135db6bd22

Observation e2d60c7c-f462-4808-9194-591615120d5f · outbound

This paper cites Self-RAG: Learning to retrieve, generate, and critique through self-reflection.

MemGym: a Long-Horizon Memory Environment for LLM Agents Self-RAG: Learning to retrieve, generate, and critique through self-reflection

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.812007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:9e1217e5459cf24afe4e6947ff449514e16b3d851fc37a772a95fd0e37532820

Observation d497201a-5a47-4437-8bba-ffc746c9a212 · outbound

This paper cites Longbench: A bilingual, multitask benchmark for long context understanding.

MemGym: a Long-Horizon Memory Environment for LLM Agents Longbench: A bilingual, multitask benchmark for long context understanding

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.814123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:82597ad916ccee645991f7e9b3f5816c8a60714faa30ea128f35117bff0a0505

Observation 3ce1348a-0eae-441f-aa0e-fe834030ca5b · outbound

This paper cites Longbench v2: Towards deeper understanding and reason- ing on realistic long-context multitasks.

MemGym: a Long-Horizon Memory Environment for LLM Agents Longbench v2: Towards deeper understanding and reason- ing on realistic long-context multitasks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.816325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:e6e170970e68734efef764d6eae0bcad30f33d0d0cf0194508d37713a68d4af0

Observation e9e87e19-7e95-43d5-873e-4bd624bc2c07 · outbound

This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.

MemGym: a Long-Horizon Memory Environment for LLM Agents $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.345250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:2491b48cbded89ae5f8a687560946ce3277b4f95ee74ccd675af33148e8aa127

Observation ec8207c1-90b0-46b1-b400-53297b7c1f42 · outbound

This paper cites Amemgym: Interactive memory benchmarking for assistants in long-horizon conversations.

MemGym: a Long-Horizon Memory Environment for LLM Agents Amemgym: Interactive memory benchmarking for assistants in long-horizon conversations

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:59:36.342301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:495e3f97377bf64e91dfb5164b66f271cd55ffb694f5171a481eb74f08315ed7

Observation fd09ee1e-3945-4141-ba4e-41e24494c275 · outbound

This paper cites Adapting language models to compress contexts.

MemGym: a Long-Horizon Memory Environment for LLM Agents Adapting language models to compress contexts

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.828816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:446a1d9fea80bbcb224f94c7a4a8683a8a9d8b66e1d2f256ac82a687cdb5e079

Observation 73b10aa3-b506-473d-9204-1626b0b332bf · outbound

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

MemGym: a Long-Horizon Memory Environment for LLM Agents Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.391389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:f3462c6913b9aa8b9c02ce8c8e7e3e54558ed2ccb44baf7e12af3fe142cd5da0

Observation edd562be-7175-46ad-9814-fed0ecbefa6a · outbound

This paper cites Larimar: Large language models with episodic memory control.

MemGym: a Long-Horizon Memory Environment for LLM Agents Larimar: Large language models with episodic memory control

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.880141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:f0d523bdf9d6336c949a64aa40d10be3291bdc3d45fab14b7149daaa3a8400d8

Observation 4d8191fe-8584-4e4b-bf40-c880508a5861 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

MemGym: a Long-Horizon Memory Environment for LLM Agents From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.381725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:d8990ca0c4539097bf87ddcc70fa935d6c7521f0cc5edf55d0900b7cff57d325

Observation 5be7767f-abb8-4838-b1ce-9d7a566bc6ba · outbound

This paper cites LightMem: Lightweight and Efficient Memory-Augmented Generation.

MemGym: a Long-Horizon Memory Environment for LLM Agents LightMem: Lightweight and Efficient Memory-Augmented Generation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-21T15:58:32.687292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:1918bbdf41c512b9749c7957d4d277c7fe3fb43477bb4e4e465001a61204f159

Observation c3b7c87a-d546-4132-8c5c-c6f9fe7d0316 · outbound

This paper cites Selective classification for deep neural networks.

MemGym: a Long-Horizon Memory Environment for LLM Agents Selective classification for deep neural networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.859220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:462f9080b51d6081a6f286443c3223f403cd914e75d013dae00ee914587e784a

Observation fed0fdc0-d045-4a49-a921-ffa929d2e6f9 · outbound

This paper cites HippoRAG: Neurobiologically inspired long-term memory for large language models.

MemGym: a Long-Horizon Memory Environment for LLM Agents HippoRAG: Neurobiologically inspired long-term memory for large language models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.857199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:1f4351f1b6da4f6de1cce844cd19b9a7ce1ea8e3ee2559ef926271bc905707c5

Observation a792be5b-6b83-44b4-9854-e9207323d50e · outbound

This paper cites World Models.

MemGym: a Long-Horizon Memory Environment for LLM Agents World Models

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T04:59:36.357309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:7ddcd148edeef929c0ce63c9a352567f6a8d4d4bec3089e834529444b29adf7f

Observation 18e72f59-6769-477a-98bc-604c232a23af · outbound

This paper cites Memoryarena: Benchmarking agent memory in interdependent multi-session agentic tasks.

MemGym: a Long-Horizon Memory Environment for LLM Agents Memoryarena: Benchmarking agent memory in interdependent multi-session agentic tasks

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:59:36.372435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:627b524726cad0181070490d487fcd2925d60daa8249abb1871cae40d745ecde

Observation 23c3b690-4207-49c4-9b06-f5ebb9c0806a · outbound

This paper cites Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps.

MemGym: a Long-Horizon Memory Environment for LLM Agents Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.866869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:d88d23902d92015a5719b90c7345a97443b75e6dcff87b6db28f068ce99c048b

Observation 7d7d2e35-8a32-4206-86e6-a185034f24f8 · outbound

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

MemGym: a Long-Horizon Memory Environment for LLM Agents RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.351538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:a85656617c07741e6315520c173bb069000b9cbb6384973e1c728af4a26a849a

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

This paper cites Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions.

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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:f78b9dc00eafda95dc3a4b168374fdd23bf3efdf4447241d599f470c49cc77d7

Observation 87ede9b0-1f58-4e7c-aade-c085a8a836b6 · outbound

This paper cites Llmlingua: Compress- ing prompts for accelerated inference of large language models.

MemGym: a Long-Horizon Memory Environment for LLM Agents Llmlingua: Compress- ing prompts for accelerated inference of large language models

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.872652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:1925c0ad6a5879a5054f1c3f8f818d8face2eafcad6e1aa8f40dbe390f12df95

Observation c276109b-8e28-4db2-a54c-86bc4058ac4c · outbound

This paper cites Swe-bench: Can language models resolve real-world GitHub issues? 2023.

MemGym: a Long-Horizon Memory Environment for LLM Agents Swe-bench: Can language models resolve real-world GitHub issues? 2023

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.870567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:6ad11a6a3ddc3f4ffc800fde680176ee059867ccb42c7b244d60be5d3a0cc8b3

Observation be2fda48-c743-44b0-a1ba-a327cb91c4dc · outbound

This paper cites Needle in a haystack – pressure testing LLMs.

MemGym: a Long-Horizon Memory Environment for LLM Agents Needle in a haystack – pressure testing LLMs

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.874521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:1bdadf006265d0eb2db50cc6d00f547a11324380fee45138069426e919b7c25c

Observation 244104f9-0178-4853-97e3-409333ce4e0a · outbound

This paper cites The Semantic Scholar Open Data Platform.

MemGym: a Long-Horizon Memory Environment for LLM Agents The Semantic Scholar Open Data Platform

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T04:59:36.333148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:26981150abab8f0a7d16dab5004c968cddc5a6cfe9aaea626002822905a1431e

Observation 3a0f0b16-7a53-4ae2-85e6-1cc12e3fc0f5 · outbound

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

MemGym: a Long-Horizon Memory Environment for LLM Agents REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:59:36.323749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:583c469a79443b70a553fcf38d7b89e16a6ba7e0d74928032656bd5fcdf97621

Observation 9b7d3fbb-3a78-4683-8528-2b93e60b9913 · outbound

This paper cites A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts.

MemGym: a Long-Horizon Memory Environment for LLM Agents A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:59:36.394260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:b49852da1a03546b239ea32fae5ed008590359f063173158a32afc6e0d267283

Observation 00af9c06-960d-46b3-bdb8-f94b96039821 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474.

MemGym: a Long-Horizon Memory Environment for LLM Agents Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.853219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:4dfb1676073375f776eec293ff0eba27e8058f04a04914f04efc65cd95993a8f

Observation f68e6e8f-37c0-49ea-a2bb-2d0760979b3b · outbound

This paper cites Let’s verify step by step.

MemGym: a Long-Horizon Memory Environment for LLM Agents Let’s verify step by step

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.855255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:bf73bd2b436820e66314405d40ebf61ad7407f8847598f45356433d31df09866

Observation 52990ec6-2a1a-421b-a916-94f04bdaf14a · outbound

This paper cites SimpleMem: Efficient Lifelong Memory for LLM Agents.

MemGym: a Long-Horizon Memory Environment for LLM Agents SimpleMem: Efficient Lifelong Memory for LLM Agents

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:10:45.412758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:db3c23a09bbf0776aec148e236efc26537112e78f2df6aec162fb3dc466ef623

Observation 8dc1cab8-fc58-4f41-8dc1-4b90068f93ac · outbound

This paper cites Self- refine: Iterative refinement with self-feedback.

MemGym: a Long-Horizon Memory Environment for LLM Agents Self- refine: Iterative refinement with self-feedback

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.863064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:971e5ef8366f3927c40ae6a96b565234c2af902d9e7ddaa38a64eacf15b2da8b

Observation 1340773a-91cd-4cf6-948e-5747283fbfe4 · outbound

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

MemGym: a Long-Horizon Memory Environment for LLM Agents Evaluating very long-term conversational memory of llm agents

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.844505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:7d5a8e77b31776580351469937ee6f859108d2113c72ae07e3bf5eb5fe2c0df6

Observation e526aba2-9e71-4038-8e7f-9fb13d399697 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744.

MemGym: a Long-Horizon Memory Environment for LLM Agents Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.846728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:12d741fcddc56816446f8aa07b567828fc72ae20a80469a5177c07f71dbe5e6e

Observation b5eec12d-41e0-48fc-ba6f-87fc05581aaf · outbound

This paper cites Memgpt: towards llms as operating systems.

MemGym: a Long-Horizon Memory Environment for LLM Agents Memgpt: towards llms as operating systems

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.848962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:9da1dceaed57faa219c6ac09341c1a40e13610fdb51ca7fb7178d8e8611b96ad

Observation d42a6568-7c57-4397-9f00-37930e562894 · outbound

This paper cites Training Software Engineering Agents and Verifiers with SWE-Gym.

MemGym: a Long-Horizon Memory Environment for LLM Agents Training Software Engineering Agents and Verifiers with SWE-Gym

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.369144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:b19a311c11e6b4bc9c5105a4ca961e97079cb4103071fa6b20f41bdc9376ae63

Observation dcfefcae-d0a3-4db3-bd3e-41819ee5da8f · outbound

This paper cites an unresolved cited work.

MemGym: a Long-Horizon Memory Environment for LLM Agents Unresolved cited work

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.839065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:82c7eadf2575b9acd4013b668d0cab918e9d0037e9422ebb677e5596818c454e

Observation da735f42-27ad-422d-ae20-d35a4e7f3086 · outbound

This paper cites O’Brien, Carrie J.

MemGym: a Long-Horizon Memory Environment for LLM Agents O’Brien, Carrie J

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.840931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:61d184bc4b185d1251b0ba8d9999dbfee68e0a330318b8971b2659276c4b96ae

Observation 9622ffb3-b125-4f87-b0c6-3267f4f22cbf · outbound

This paper cites OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts.

MemGym: a Long-Horizon Memory Environment for LLM Agents OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.329922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:e0361004e2984d79221628391350a718a1470339635843709fc326d323785f57

Observation 04c1f793-dd31-4751-89a3-f552935dcb54 · outbound

This paper cites Osgym: Super-scalable distributed data engine for generalizable computer agents.

MemGym: a Long-Horizon Memory Environment for LLM Agents Osgym: Super-scalable distributed data engine for generalizable computer agents

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:59:36.320350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:23d2b81395ae5dd9db938de31632e49a07b4a05abe634fc359c1747756cda670

Observation ba5f7bd2-22d5-4966-ac82-8116ea01190d · outbound

This paper cites Qwen3 Technical Report.

MemGym: a Long-Horizon Memory Environment for LLM Agents Qwen3 Technical Report

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.326830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:c3fc05069e0066d7c2da513755e8cb5a2253208b251b2011380e20ac4c172207

Observation ca1e3854-895c-4bbd-901a-25a590968f9a · outbound

This paper cites Now Publishers Inc.

MemGym: a Long-Horizon Memory Environment for LLM Agents Now Publishers Inc

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.837240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:cbb62b5a232fdd4dafe66ac3db31844dccae7616eb0fdf1917d1d3faffeef546

Observation f1a6b6dc-0d1d-408b-a0eb-001ca5ea5829 · outbound

This paper cites an unresolved cited work.

MemGym: a Long-Horizon Memory Environment for LLM Agents Unresolved cited work

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.842601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:088d9fe58450ed9c2ecd9328abfde8e8a625d3c4b94fdd7b4d0b1905fc3c50f3

Observation 6a6e40c9-4bac-4ddb-89d5-110e25860cce · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

MemGym: a Long-Horizon Memory Environment for LLM Agents Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.354545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:28d542ca80aa1b1a68701a14c698fe52e230610d199bb34bc41d47c71ffc19cc

Observation 29672b41-e6d1-4a7c-91ca-c7ee80a70c13 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652.

MemGym: a Long-Horizon Memory Environment for LLM Agents Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.835369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:2d9a75e50072819a8545100b3254632bf84d02a61455528af81c0750644d9d1f

Observation e23a82a6-77c3-4296-a451-1bf2d6ff085f · outbound

This paper cites Musique: Multihop questions via single-hop question composition.Transactions of the Association for Computational Linguistics, 10:539–554.

MemGym: a Long-Horizon Memory Environment for LLM Agents Musique: Multihop questions via single-hop question composition.Transactions of the Association for Computational Linguistics, 10:539–554

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.833155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:1e5bc69f62644102f191e0347873728f35df2456ce2b095cbe4441eb8428e9ad

Observation f4b3c546-e292-48c6-a132-d11c64414285 · outbound

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

MemGym: a Long-Horizon Memory Environment for LLM Agents Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.366383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:41b44b8bcd8736b787d0a022468a0eaab82f7f5ea6fcce36516f7c12464ccaa6

Observation 373d65a5-7645-4839-b620-2826e9120239 · outbound

This paper cites Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models.

MemGym: a Long-Horizon Memory Environment for LLM Agents Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:59:36.306470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:e02148ceb33425e76529553327d25958e0daa0c8d0d7ba4a9de67862b3060857

Observation e47b92f5-1699-48fd-9615-b775e703be68 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

MemGym: a Long-Horizon Memory Environment for LLM Agents OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.336099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:ade9261132024a885c225e983eab0e700d30e053003ae39e73edca185d5f20c0

Observation e9eaae02-5707-4bb7-96b8-0e5c18e0a647 · outbound

This paper cites Le, Ed H.

MemGym: a Long-Horizon Memory Environment for LLM Agents Le, Ed H

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.851177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:726a6b0ef59def49cd94ab7d99658ac513ba23f3ed29d7695e8274aa27593b27

Observation 6385b663-465f-4fbf-a5a8-c060283e5a60 · outbound

This paper cites MemoryLLM: Towards self- updatable large language models.

MemGym: a Long-Horizon Memory Environment for LLM Agents MemoryLLM: Towards self- updatable large language models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.868694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:97a05d558210bc206bdfe2ed4704d02ce9b6cbbbccb2471534ffc4f49129f8d5

Observation 2d414204-7776-4f16-b9e9-528fbb693a3b · outbound

This paper cites LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.

MemGym: a Long-Horizon Memory Environment for LLM Agents LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.384900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:316ef5b040d64522faaf5f49cdadfa4be3cddfb7545fa7b7ab0040e2098a472d

Observation 76892d40-1a31-45de-a476-ddc29dfd9291 · outbound

This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094.

MemGym: a Long-Horizon Memory Environment for LLM Agents Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.824999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:e97feb303c80abc298a7672fe0cb84a8c9841513520fdb6b3a4765ce85809900

Observation 16325b6b-5999-4823-9d87-3d9ad7020319 · outbound

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

MemGym: a Long-Horizon Memory Environment for LLM Agents A-MEM: Agentic Memory for LLM Agents

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.387878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:3e51e202c1cdfdbc6ba65072195f965c6253b6621e7f3a5aaf434279ce50e406

Observation 28e21597-6fb4-4652-87b6-13ae5f4dbb75 · outbound

This paper cites SWE-smith: Scaling Data for Software Engineering Agents.

MemGym: a Long-Horizon Memory Environment for LLM Agents SWE-smith: Scaling Data for Software Engineering Agents

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.309061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:137cdc77d0d131a0f293caffef186a994984ea6b7e9ec3a780ea01c5429f3854

Observation 6417fa48-0b52-48b3-9caf-2faa23dbd8db · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering.

MemGym: a Long-Horizon Memory Environment for LLM Agents Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.822755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:ccf7ec9bc06e545ae9406696aa973d0d4fec1d6db3dae9375c27b824316b52ad

Observation 770a91e9-94d6-4a50-8fc9-38e9234d5473 · outbound

This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.

MemGym: a Long-Horizon Memory Environment for LLM Agents Griffiths, Yuan Cao, and Karthik Narasimhan

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.820519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:75ce3d68ae19ad43ccf925317d725eab6715e20a30848935731b37c29fd296f9

Observation 80a4c4be-7378-4423-85d2-26aa8a8e7ab2 · outbound

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

MemGym: a Long-Horizon Memory Environment for LLM Agents ReAct: Synergizing reasoning and acting in language models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.882189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:53a558664ff7a10533e1416961b2513da4bbc88f67c27279b098db4a8d923c0a

Observation ac8b1cff-61bb-40ee-926f-65c582b66097 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

MemGym: a Long-Horizon Memory Environment for LLM Agents $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:59:36.339363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:a911a9d1858685c9849519e4d806520b3e6554b6d22092953c57a4a79ea92455

Observation fc481b86-0903-430b-b0fe-92857df82b3b · outbound

This paper cites ExpeL: LLM agents are experiential learners.

MemGym: a Long-Horizon Memory Environment for LLM Agents ExpeL: LLM agents are experiential learners

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.818516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:b6d9c5bc3625db80bfea4dc61e6f4b84699706c40ee8e825a04d585856f08c69

Observation 6b21775b-c833-44d4-8a12-69a3a38f338d · outbound

This paper cites AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications.

MemGym: a Long-Horizon Memory Environment for LLM Agents AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-26T03:04:12.483288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:30df073542ce109c3b323aa96feda7525bc047dc6ccd53eb9f8ebb9b56050e0c

Observation a4a40862-2f68-40fb-9755-a202380f7a41 · outbound

This paper cites Memorybank: Enhancing large language models with long-term memory.

MemGym: a Long-Horizon Memory Environment for LLM Agents Memorybank: Enhancing large language models with long-term memory

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.830714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:d44e9429cb2e7ab5f9aea8fb12ab9472e0791f6b15632aa0957591cf1aa3a2f4

Observation c1d48aec-7ccf-45c9-b4c2-8d5b9cd04809 · outbound

This paper cites WebArena-Infinity: Generating browser environments with verifiable tasks at scale.shuyanzhou.com, March 2026.

MemGym: a Long-Horizon Memory Environment for LLM Agents WebArena-Infinity: Generating browser environments with verifiable tasks at scale.shuyanzhou.com, March 2026

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.826880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:2298252a47cce34ee52a90e2b1d64fb4c887b016371310bc573b7389a7adcf09

Observation 623d454a-039b-4161-a540-bee3594272e1 · outbound

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

MemGym: a Long-Horizon Memory Environment for LLM Agents WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T04:59:36.363384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:9031bdf560caefe008c546267aef702e39d639cbc386e6755e16f1706f9a57fe

Observation ed6b0e12-86e2-46dc-a96f-cba206181229 · outbound

This paper cites We implemented custom log parsing for mypy test output.

MemGym: a Long-Horizon Memory Environment for LLM Agents We implemented custom log parsing for mypy test output

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.878257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:1a5d16f5a40f7121efd41cdb774575e8ec6236a0831600653cb37d510bcdd5ad

Observation 46664734-e7ff-4d41-ac00-e0e5452bdb8b · outbound

This paper cites Increased to 600 seconds.

MemGym: a Long-Horizon Memory Environment for LLM Agents Increased to 600 seconds

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.876258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:e0c54e352f5ad68dd428eb0d6e982301dbb966f6921aff07b35c35f8525134de

Observation 69817fef-4aa5-4eec-86e8-a199aacaa5c8 · outbound

This paper cites env" setting deleted pulled images after each instance. Auto-switched tocache_level=.

MemGym: a Long-Horizon Memory Environment for LLM Agents env" setting deleted pulled images after each instance. Auto-switched tocache_level=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.884082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:941e48aabcfe4fefdf4d58628c5b4979493a870881f43af54da551c9e8eb198b

Observation 5fdac187-6d3c-4a7d-be50-49c098804081 · outbound

This paper cites Wrapped conda activation withset +u/set -u.

MemGym: a Long-Horizon Memory Environment for LLM Agents Wrapped conda activation withset +u/set -u

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.861157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:52cf2501f9805e91ce43c7e2e63fdf7fb65061917c833939baac4ffe0de936f0

Observation 65c4c32c-aa79-4245-b523-a13e6de89e03 · outbound

This paper cites Switched toparse_log_pytest_v2.

MemGym: a Long-Horizon Memory Environment for LLM Agents Switched toparse_log_pytest_v2

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T04:59:36.865025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:94fc49d5bdf260e1f4017a05ec1f892ccf9a0c5223f31b5615a87d1defe7f0a4

Pith citing papers

No inbound Pith citation observations are available.