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Paper Citation Record · LEDGER

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline

As of 7 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2606.04315.

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

pith.paper-citation-record.v1
2606.04315 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:49:08.689588Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:52:28.580360Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact48
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eebbd52f-e63d-4415-a886-684646ab24db · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.398625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:ef18e89a7060412ba3bc77440c8115449ceb33e2b1f57fd7dc42160d57a2c6de

Observation e4582de8-1476-4444-b2c6-6de991640fe4 · outbound

This paper cites LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.401425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:549bcb2910d34d71d9f3385c6572f7c992cecbad6d52d2648ffdf967b6be5c2e

Observation 5ad3293f-fc47-4031-9948-642750b130f7 · outbound

This paper cites an unresolved cited work.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T06:49:08.689588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:c48cbac45d3b276d8ac7b1afd00c77778b13fb99fef1c198b9ae3af6b15910b4

Observation 908a592c-4334-4fd3-9aff-2e5901843d93 · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.406894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:7059a95c36bba35bc9d92473e6144e56c3fab4e1dbdc9945707e9818b30de5c3

Observation a1779789-48ee-4d97-b21f-47bcea34ef9b · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline LightMem: Lightweight and Efficient Memory-Augmented Generation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.404287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:babaccc387e0138dfbb41fd245e1b720037592601feff1cb43ea6d36773c2e48

Observation abf35afd-7c1d-4d41-9fe3-8019b3580c65 · outbound

This paper cites an unresolved cited work.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T06:49:08.689588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:6e14545f8c7b658bfe239ff82a2338787472c5507fc7c9bd19479b7bb5bb1d50

Observation 21b32fd0-a56e-4a4f-9961-7d4d8e49f7f0 · outbound

This paper cites From RAG to Memory: Non-Parametric Continual Learning for Large Language Models.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.471906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:b4e19b2a5a1d15110d77b37760d0e86f5271cefcb6ca6b5c6e79929c52749962

Observation ca14759a-7ca3-4281-9885-d8f75f064503 · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Memoryarena: Benchmarking agent memory in interdependent multi-session agentic tasks

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.478843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:e14ace3a0459c93390f743f793a246d0d7628040ccdeef5bc2417fce6e847003

Observation df382c20-6033-424a-ae5a-8cec7832245e · outbound

This paper cites an unresolved cited work.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-28T06:49:08.689588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:4573c02d895f67a2424c757e5575d0e17c54485b2c397e3c43b42643b8418ef3

Observation eddc4445-2726-40a3-9b94-ed6737ff03e7 · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.473957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:bb3a808b1b25bc0a5e0fa24c05d11c04dd7096d9644c4e3e924ed63f54eed387

Observation e2ec0d0a-1754-4260-97c5-df30f4cc0b6d · outbound

This paper cites Sage: Benchmarking and improving retrieval for deep research agents.ArXiv, abs/2602.05975.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Sage: Benchmarking and improving retrieval for deep research agents.ArXiv, abs/2602.05975

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.430272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:30007ff2704ab268e2a508166ac380f97a495a5ea0b44d619801d29d3f5350a3

Observation 6d8d7eed-db1e-4dce-ad42-5b66910c9c91 · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.432874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:fe3eadf546073f0a012bf6a8957fd8d7cb400c8e047672476e18218cffb5ee97

Observation bb049b26-1919-4978-ae4c-247c19d02356 · outbound

This paper cites Memory in the Age of AI Agents.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Memory in the Age of AI Agents

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.469797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:9dba04caa9c6e2f100dfdf10b6d175031b81d87ef8ecb5eb922812293af9309a

Observation f1ac1629-f934-432e-9550-431f910f52c9 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T07:36:45.391592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:5436bbb8454bc34e7ba99ed1be19011e6e3e0e3e7e6c600045aef239dd966251

Observation c34b6be4-696c-4c0e-a236-98e624702803 · outbound

This paper cites ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.423076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:07a116ba91eece6732ee403e075dd8ecd7d9a4642113792f600535c148c60be5

Observation 7a2cf7ef-b278-4c8b-894a-4bffd2f6630d · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Dense Passage Retrieval for Open-Domain Question Answering

Reference 16

Resolution
verified exact
doi, observed 2026-06-28T06:51:44.347635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:6f2bf0a78d885756fd18f6002d10f79fbc36e9f24ee4f3bc2008ba0120cad335

Observation 04ee4918-227a-4772-96de-21644c704605 · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.477256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:e8d39f602688dd65a7517f2973148f49ab21fb919cb4075cad536e7875047d04

Observation 1ee5bc55-99be-45c5-8ff3-f98bcaeaf021 · outbound

This paper cites u ttler, Mike Lewis, Wen - tau Yih, Tim Rockt \.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline u ttler, Mike Lewis, Wen - tau Yih, Tim Rockt \

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-28T06:49:08.689588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:9450f279b2f856a6e31d7a5d1af8ecc21b0cd0ce2397c9de2272b9ebe83dccac

Observation 2038aa85-551a-4456-a01e-201cec2a3491 · outbound

This paper cites TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.479511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:aaff81baaff75d00ae8892e672b7195ee66503ff61743021589c965012299d27

Observation 5d38399f-4535-41dc-8e16-e343ba8302f2 · outbound

This paper cites Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.484866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:93614db82801960b8b53f4fe2c980386989f25e7fc9a608be27af2cad2a8008f

Observation b96b5b3b-bf6e-46d4-9354-bd4795591cd8 · outbound

This paper cites Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.467493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:718c8fca15e6400eefee178cdc1dde6f7d5c25a8ff1fba8b28b3bb25e41a0503

Observation 856be02a-bc96-47fa-828b-9a7a56b99fee · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline SimpleMem: Efficient Lifelong Memory for LLM Agents

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.470052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:aae4afb44c983f5de3fea00219d9e412e394b7a248b40cfd8db1eda93b42f434

Observation e1b750f8-1a13-4225-a412-29077367ebd7 · outbound

This paper cites The pensieve paradigm: Stateful language models mastering their own context.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline The pensieve paradigm: Stateful language models mastering their own context

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.474829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:464aa6a37ca07d4d548e4436a3f3ebc16566cc5a0cd617662a67c4959f21db3a

Observation b8571fef-0635-4a59-9f42-15ceb2f7201a · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of LLM Agents.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.462292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:8bae0985e6ce943c0db5c3efaa954791c468b13743d1bfa169b4a998bc241862

Observation 28651976-6548-4ea6-9713-c837b65e2fb1 · outbound

This paper cites an unresolved cited work.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-28T06:49:08.689588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:cd00ce32a93437a05f3abfc67beb31fab9b933c6bf62f9006d33aae68fbc5b4f

Observation e6273db3-b69a-454a-ac9b-1c9b5e46aeee · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline MemGPT: Towards LLMs as Operating Systems

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T07:36:45.483063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:dd6d330d053ae645fb404688b550c4c78252e2009d7e8cf2f96e26f61c682f88

Observation 070178a4-5247-4970-8e0f-aa7e985754c7 · outbound

This paper cites QuALITY: Question Answering with Long Input Texts, Yes!.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline QuALITY: Question Answering with Long Input Texts, Yes!

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.464880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:d13bc86b7369d3f89930555a19eb98af3ec93c2538b95284dd3c896a538bfc09

Observation f257cfc0-f736-4394-a31d-6996751a5f9a · outbound

This paper cites Beyond the context window: A cost-performance analysis of fact-based memory vs. long-context llms for persistent agents.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Beyond the context window: A cost-performance analysis of fact-based memory vs. long-context llms for persistent agents

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.472495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:f59a20258a9d74dd5c8656419e2f9befd327dafcce9e4141dfb42927ee61e914

Observation d0b6d177-648b-4920-86a5-9b80b2aa8ce5 · outbound

This paper cites MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.482173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:30f5f397a1642c4aa5a5c8e5655f743d903ffcc09179eafa048840255fee63d2

Observation f253568e-2d3b-44ce-ab95-1a5f75d9d26b · outbound

This paper cites L a MP : When Large Language Models Meet Personalization.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline L a MP : When Large Language Models Meet Personalization

Reference 30

Resolution
verified exact
doi, observed 2026-06-28T06:51:44.345726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:95a7e52c2982c597eb360df52163516a85482e44e3bceb34c09cab28d04b14fb

Observation bb99f885-d778-423a-b102-59531cd9dc3c · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.443123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:c8c69ac5c4aee2fc3935c35861657c0270bbd17e6bae5699ae0f381ad42dc0ef

Observation da606e70-1482-4ac2-9fef-3c03996790c7 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.445814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:5fac04fba1537fabb546c9f3abe315d7feca1d872eaacba95321b0ca6bd23272

Observation 5fb8690f-289b-4933-b21f-4e8e60b05b62 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.452325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:5df9bfacb7e8900c0dff76eb38162691ede67f6e4b15bf3e11df6cf29500b90c

Observation c6f5cfce-77eb-4f48-873f-d81d599c57a9 · outbound

This paper cites Remem: Reasoning with episodic memory in language agent.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Remem: Reasoning with episodic memory in language agent

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.377007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:a71dadfd7656c5ae848cdbec751722aa0d1a99637bb01e34d2846c1d2e0753e1

Observation bf16f74f-e02e-4fc9-a8d0-89f63dcbbe9a · outbound

This paper cites SwiftMem: Fast Agentic Memory via Query-aware Indexing.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline SwiftMem: Fast Agentic Memory via Query-aware Indexing

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-27T02:19:54.502612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:b434e76f9a98e3c4cc873f7477e8a7ee494a6d144721c49aaf6ca2a674de46fe

Observation 73ba6ea9-a199-4c38-9dc8-3a760640df25 · outbound

This paper cites Frontiers Comput.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Frontiers Comput

Reference 36

Resolution
verified exact
doi, observed 2026-06-28T06:51:44.343956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:89204ee1cf6a7875299b6336c59b5c03f2ba60be6950a173a5e5a77d2503feaa

Observation 4235e116-c552-4e4f-8bc9-dc2d8eac6817 · outbound

This paper cites OpenClaw-RL: Train Any Agent Simply by Talking.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline OpenClaw-RL: Train Any Agent Simply by Talking

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.370038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:d78667259e30e9e23129b03d7ddb9c57ee731040bd77dfe2b55eefaa87282996

Observation 06960e34-0346-4f81-89c5-5fc3200ed73b · outbound

This paper cites Mem-{\alpha}: Learning Memory Construction via Reinforcement Learning.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Mem-{\alpha}: Learning Memory Construction via Reinforcement Learning

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.386339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:158e01b7122da724bda9b0c8dbc4131c4f0b43ca53f588be1339bb4bdfcf734b

Observation d3100d56-836b-48a0-a7ea-65d330cffbb1 · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.409662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:5056641c8fbad247eeae18bbea717da460664001348aa4dfa2b738dbb6eccc16

Observation 578e43f9-63af-45ef-a31c-b32c0fcbb9e5 · outbound

This paper cites SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.459710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:290c4c0be720b4c3c6de67d64357332ea4ce1d2cb789388e1e568453cf185ad2

Observation f4483946-daa2-4554-93bd-0b7e977320f8 · outbound

This paper cites TravelPlanner: A Benchmark for Real-World Planning with Language Agents.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline TravelPlanner: A Benchmark for Real-World Planning with Language Agents

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.437704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:3c2cffb531068716b24ca9a3718156977fb158b7444733795cbf6478a2b5b243

Observation 4bb4f38f-eac0-4008-bee1-8a829711aa94 · outbound

This paper cites arXiv preprint arXiv:2602.07755 , year=.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline arXiv preprint arXiv:2602.07755 , year=

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.427906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:322509f7637007739d5be2f179887b204a6e8b7be4718514db1cc3abbb343814

Observation b4531b7c-31b1-4fa1-b48f-bfb5d147a138 · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline A-MEM: Agentic Memory for LLM Agents

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.435948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:7ea87e19a37003d5d784db92932807fb599e65094ea746a1fdd046c6ecd477c8

Observation 0b80529c-76db-4e08-b7a3-17e15a205196 · outbound

This paper cites Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.440405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:3f7b967331be4800ca1e88e2baad570846441a30af4024fb14e35313f4b7e92a

Observation 0784f7e0-b58e-4b6a-b250-e743d911897d · outbound

This paper cites Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T07:36:45.450202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:62f4794f487fe2ea4620e5a291a1c13b3c10204124e2173b2368fecc31276db5

Observation 4ee041d9-7e55-4250-ad41-e30b4cf98c2d · outbound

This paper cites Qwen3 Technical Report.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Qwen3 Technical Report

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.453363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:760a1c42273b32576919a0d39a6a1bbc9aa90b95547f64de63de086ca85d7414

Observation ac9c7b4c-72c7-4082-baa4-5be8c27634d8 · outbound

This paper cites Plugmem: A task-agnostic plugin memory module for llm agents.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Plugmem: A task-agnostic plugin memory module for llm agents

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.457783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:b2ec182a2504a3a74d57decc0bc5562a4136c12a87d6c221adc1fc87d57a1543

Observation 2ef62293-3719-4188-b24e-467b730905de · outbound

This paper cites Cohen and Ruslan Salakhutdinov and Christopher D.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Cohen and Ruslan Salakhutdinov and Christopher D

Reference 48

Resolution
verified exact
doi, observed 2026-06-28T06:51:44.349502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:a514da40b33357074040e607419dd18cc5e963c04ec0ae6cde9a3c7bc13dcd5e

Observation b0d6961d-7632-4489-a368-0f114a36d7ed · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline ReAct: Synergizing Reasoning and Acting in Language Models

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.455492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:82d8d3bdd7af4499b95e07734818b4795f6b31323c792d9628051a8e05cf7f2d

Observation fd747a4b-9466-446e-876b-9a6352e921c7 · outbound

This paper cites MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.462702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:49253b4a30203fd22aa94b8a654960bae96fd63a17da1927b55f7e55b96124d7

Observation 6eb282b6-9d8b-4710-be90-f104594f58cd · outbound

This paper cites Mem-t: Densifying rewards for long-horizon memory agents.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Mem-t: Densifying rewards for long-horizon memory agents

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.467582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:694a738c4e4499ad2061f8f6b99a09901e81a8f6d02a1b66a2d64483ece616a1

Observation abfe369a-e58d-4577-be56-ce5ae9958f0f · outbound

This paper cites Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.480966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:4ea55b48bcebb0301aca0fcd96d8bcceb4f21c04fc4ad2c90654d8136ce72765

Observation c258f05e-4cea-4dc5-bd08-332ef151ed55 · outbound

This paper cites MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.446924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:3150261b904323ba8af7024b28972581c5c6752e14045728009d72920d0ae944

Observation 00557055-5c9e-45c4-8359-bccc264b2d1b · outbound

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

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.448017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:d06332b57fe83d109df9e1e970148b47bfc2c0e19dc953fd9a1b471354424b8a

Observation 259294a2-09a6-447e-b735-cfcdf5a903bf · outbound

This paper cites MemoryBank: Enhancing Large Language Models with Long-Term Memory.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline MemoryBank: Enhancing Large Language Models with Long-Term Memory

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.457422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:85a1e66830e1242dd88e169cf02b9fdea9b9e495d07e61ebcdf4f97d8c84f7e9

Observation ca4f9ae3-87ea-4f53-9409-e252a07435e6 · outbound

This paper cites MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:36:45.451332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:d82aaf9428feeefe2c3ab85a92d317f2e21fe56acf22bf6b64e4decc1be998ae

Pith citing papers

Observation b75cc33d-5da6-41f9-934b-7c4a77e9456e · inbound

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

Mi-Memory: A Lifecycle Memory Framework for Personal AI Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T13:52:28.580360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:52:28.580360Z digest=sha256:ece29408baebfa61a2be1f660e6fabb7e966610678d84a9f131508c2a949e313