Pith. sign in

Paper Citation Record · LEDGER

MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.20163.

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

pith.paper-citation-record.v1
2409.20163 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:30.606816Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:53:59.997347Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a8f072c7-c1e6-44bc-be4d-f1997ceec172 · inbound

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs cites this paper.

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-17T11:05:09.757302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T11:05:09.588491Z digest=sha256:ad6dbc4eaaa8907fc7fd0289995b103841bfa5f95d42c57adabf620ecdb1cfd8

Observation 8770f540-21f4-4499-8092-d160a71fde18 · inbound

MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents cites this paper.

MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:30.606816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:42:30.606816Z digest=sha256:2975399108d1d173409cbcac77f31a8428e8bf3cee745a21d9660036d55ac872

Observation a325014c-7baa-491c-9dbc-5865d2726cb0 · inbound

RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems cites this paper.

RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T22:57:05.452276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:57:05.452276Z digest=sha256:7775c5cf4e5a317c1c89f2dbeb1526a51f4b828e86d97cb3df1f407bb47ef878

Observation c41aafb3-6bb9-4ef1-bd72-70b85bed56c3 · inbound

Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework cites this paper.

Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T20:02:12.525604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:02:12.525604Z digest=sha256:e851ed8d688a1b70112493e8bc7454e8547dfa91b182a07a2931ec22bd906ce2

Observation 17a35a34-af8f-42fd-989a-85aeace11b05 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 135

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T23:13:16.131595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:e366c4c0abc4602d40078df1f5a07241facaa4f02360d23d5312f900de346dee

Observation e4fe2318-5b24-4a6e-b052-8c04070d6751 · inbound

Opal: Private Memory for Personal AI cites this paper.

Opal: Private Memory for Personal AI MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 278

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:13:16.710924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T21:09:06.320543Z digest=sha256:35229cff1bb7c6f3b745f1f230cf27d1cfb5ce925faed68d686b422f45f529d3

Observation 15ecdc81-8d4e-4685-a94e-e21073cdd042 · inbound

From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents cites this paper.

From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:16:03.474741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:10:13.205879Z digest=sha256:37fe982ccf561775955454ebf71336da7655227feb3cf09245c744c190847975

Observation 7bcd85a1-bc08-4bf2-87be-01229720713e · inbound

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory cites this paper.

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:51:26.918367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T19:10:30.849963Z digest=sha256:abbca4ce944a506a68f67cd3d5e88a776281d9964ee61950f856bb8f34998321

Observation 053a0ac7-26a2-43cc-95d0-9b481184416a · inbound

MEMAUDIT: An Exact Package-Oracle Evaluation Protocol for Budgeted Long-Term LLM Memory Writing cites this paper.

MEMAUDIT: An Exact Package-Oracle Evaluation Protocol for Budgeted Long-Term LLM Memory Writing MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:50:26.115340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T19:33:12.109478Z digest=sha256:6ba41b29ced1fee3a28d071bcaeee70280112eea0e5178d14e0bba9a0f502f5c

Observation 6d3303a7-8b14-415d-9408-4e91e5d6e03d · inbound

Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents cites this paper.

Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:53:59.998819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T21:44:44.789852Z digest=sha256:68a30e580e322c23c344e967fdb9ae4aea206f47df443e6b12bddeedc00836d2

Observation 52797fc5-9c99-412b-ae54-eabc3e9912c0 · inbound

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions cites this paper.

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:13:44.719403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T17:10:02.936605Z digest=sha256:72a89d9c0c024926b3feac270ed759891a600bccc57cfd764d9a604381eb0999