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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:b8fcbf07a0998bc9828d9d3bfd21ce206add93d3aaa4dc73f90072d6f6edd9fb

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:a8ecb183678103372bb57a87326674bce05a12f91b82bbf43e05bca43c97766f

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=sha256:728db6661aed61d850750f7f8092fe9db53959572c11d5c4174e06b67b9838fe

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:7903365f476cf11eba16144e77b9eadc90537a86d040c9f903d95ef3e008936c

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:66a7d71bfc36d144a5910bcc8605320a9c1b6999c604f0fccb0d84c2c7dac811

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=sha256:2ca9b37c0df4bb56099266bdf4966f819edb9d1dcfcb8bd8038506e5cdb49a54

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:c97ed2618b12c98e2bae261bc7ed4807d5018c802129ea0ee41f276b4478a0dd

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:e5731590044a07ff5420564a286f19e7c59370b50db525979935c215ad41ac7d

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=sha256:6e312259129456d68b79a1d792dfa298567b1ef466f308edb4d9d54d649c3637

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:5b6e67fd91847d5ee4480453aa9310407253cbeea92717b67c0ff6d029ad24f8

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:61952a37b2ee2d4087672cb31169c5f19f6bbcefd2d2f928c289d981f16d6f78

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:df2db47ea01e395ddfbf6ab06186b0dd83bd881823f1c119606640835e9a076d

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:b373d1ce298ef0eee144595a96e82eca195e177dc02f92ec3dca7cbeb1a01056

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:9560807122cb4b4f6eeb9c98d32b875e0e76b7fee6ab55b1de571a4cced4b3bd

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:e2c3ec5e8e3aa61da58598ef6b842affd810e9981b5b8e11376a7e32cd7c5870

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:53511efb69e684dfcafbcdcc82f3404da4e81d8e8c2e1d8d7a99595077c4f2cf

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:865227ea0b042455a8133a148dffdfbb55f8bd35221376685679b3f7799ae712

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=sha256:8041a038d5abc5be55818d54323eb976d1cc5c64a9dae3a87a38c0acec58408b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:1d5ce948834ab8f2ebc935c5c47188c7f93daecfd9e3a7e1e77300cbec4c489e

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:d3732ed0a8874d2f5fabfba7e85256a3ff56e2840039bbfbd323c13fbc816c81

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:79f652b72ef9b941748202f8c010e60f975301e9ddcdca71a0cee8a767415737

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:6f8cb09629342cb6de40fc80085327756ccfdc7cabe48ad74b4a1c48845a5bf5

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:4cc68ceea82bf9dea7ea3b55987e7cf96bc6d34c4b297909d99e14a1852280c9

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:def7760cfb2d50e06097d242c2bd2a9fcbc56f7dd78525f963d77e6d507d4cfd

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:c3e35bdc041d5bb29656ed08f6692bc4a73452f784b43d02f55aa2956cb7b7d3

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:b0e243b95cff346e647f426b50c17af1ccbbc0e2d5f0dabde19b1eaa3900f879

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:f30ee71381fb9dae363bb8f1230b741cd4eca12eabefd0297b31b8ad69ef1a76

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:6b9a41d52187fd0447a3fe2ee50499521fa5ba145e11da55c3738b9b4a5eef8c

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:f8bcab2ab8661b04e013c43acb27c7c3b80da05e4104ec32f51666184636e705

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:6417b7e4d98acada13856f2aac6f8834cc36ff7e7d46802882d626b2184853a5

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:11f0633ef3bdfb235f9d2680951c7ca23840d0307fe3c35e6a9054c629a1599f

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:0c3654b498020254080e51fdde141fa4ab00e712f41cf76145276b7f081a7003

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:75e6372aa28f0adfbbd04353655d0aff13549b092073964f76be18044823ff8a

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:d691997c7ddca7fcc58ac5f7fcbf72a76e90e3d3fb6a07499285239433177d29

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:2e4903aa1813ba21a7df7a016b3e16b212260704020b664c90310595b71a33c7

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:ed098671d0ba6d6b772bc1394815996ac1d51fb10c2459d88b12e745b863476d

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:0199c763a1044577cf5ff3a7cbbfa2bf862a89b89260ffcd16f2d4e3ec16454c

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:5c99e70dd763a04c9d7f1d38f759e20414bfa63957c7a2852108a946fb4e6304

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:824f257898a5bda7ddaedc8bb675515920324804dfee36d881516be2dce8dc25

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:60de87ffe3ece2cbd6cc09d52c53a95f95c679b744c31c274eaa07ae8c3322c2

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:3f4977e1d3b0e10288843009533879b6ca2bcd2263b1acd58e9ffec93a2e2011

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:6abd2a6751e881d3dc1aa4aca8c86ab6bacf92ea186f39b3cd50c6f32b3e0e30

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:0ae0c8786a389cd1626bdcf52cdae6aaf112fbc6d7918c2c1b7da17fad8085ff

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:0636212b7ec98beafc529efcbf108106d4ce00d6ee4a4a588f5fbabd610c2d30

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:f7a56aa0a47a09c82900735f52a8b691b1d93115c498fbfe5fd5bef57846ed50

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:73de54b52449acbec7aad33dacc6f29f65c1921aceba5de5d8cf4f7e19d0c70a

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:ffa866bef42681c5f3c32737f54902e57a736a92634670de95e9039857ad7702

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:8e40902fd2cd4cd466284fc43928d6308465ba83fc0ea2e4d47f5e7a49568831

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:17b524541aa03d8cf860a2a705a359ebd9715e8dfd5dab99b90550f9c2b24471

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:77aa044a3b112264546eec557b7032e35bd884e8d92626285e45e821760efecf

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:49f7d01155a04a1c7ae80c756bce4bdbc47e0d26049a8e0daac4182a516d3ede

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:56bab64d0fc64a2a50f1666607768815c0115b8cc98f6d28d2a7a9226935c483

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:00acf2a8e463a81bbdced4748cad9cb0129f9e3f4d8ce03b0f12a0e1608d9d22

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:311ddf217c01266fea6eecb95d105cf776c4f684e1c70c5a714b7a9b6cad8b57

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:7e48550d917a9c1cf5742427195c4339968af397f76e46ca4828c5dfa8008236

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T06:49:08.689588Z digest=sha256:ac3b67c06f42a3f9a68c0fd7622290ddc507ae057342aa610db4d2d92597af60

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:b82d858a8f410939d74cdd30fb66434706de326fbede122f529b48cf8c21c613