Paper Citation Record · LEDGER

MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2308.08239.

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

pith.paper-citation-record.v1
2308.08239 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:46:28.096570Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7a8ba9ca-88da-4c75-80d2-7096babe75c7 · inbound

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

Evaluating Very Long-Term Conversational Memory of LLM Agents MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 141

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:05:12.901395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e6551115-481c-4072-b135-0187e598ced1 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.961812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fe57a13e-fec9-4486-99c7-ad944526645c · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 206

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:08:27.751714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5d87e39b-1456-4f6c-bb4f-0f092f92de87 · inbound

On Memory Construction and Retrieval for Personalized Conversational Agents cites this paper.

On Memory Construction and Retrieval for Personalized Conversational Agents MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T18:46:28.096570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42cb4614-1908-4634-9165-7e6124cae1f6 · inbound

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents cites this paper.

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:38.203776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66fa6cf8-2b8c-4ee8-92b9-1f2197dd06a6 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:22:09.465459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a8da456f-b813-40ac-9577-ba44c87e699a · 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 MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-17T11:05:09.663191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a61fe525-d203-488f-a2af-c1aff47f2370 · inbound

Writing Like the Best: Exemplar-Based Expository Text Generation cites this paper.

Writing Like the Best: Exemplar-Based Expository Text Generation MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:22.543993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af275535-8a2a-46e2-bc84-1d635726f266 · inbound

MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents cites this paper.

MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:12.970793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9c68a6f-7096-4c22-8fe2-8303209f2437 · inbound

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems cites this paper.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:58.902590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa27ce6f-dfd8-43ce-8217-d7c0f54c5a3d · inbound

PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants cites this paper.

PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:42:27.789673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f970ade-231d-440c-a344-dfdbd65cf30c · inbound

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

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:17:24.459240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f9effbc9-063f-4ff4-ad8d-d52b5a4798cf · inbound

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

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:12.604468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73c9be15-a29c-43c2-aa4b-2b0d1bbb0457 · inbound

HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling cites this paper.

HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T13:34:30.896409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdfe5e82-71e2-4c0c-af81-ce2bcce1cc25 · inbound

Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.

Toward Efficient Agents: Memory, Tool learning, and Planning MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T09:21:38.865918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6647f8eb-0df0-44f3-bdf2-57a3129d9f7b · inbound

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework cites this paper.

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.884002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 21ec228d-8bfa-4902-873d-0e712e7b302c · inbound

HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues cites this paper.

HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.314612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b740d4df-3b52-4f6a-8195-d6704ec47960 · inbound

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought cites this paper.

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:10:59.169434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f87aa7a-755b-47fc-a39b-b5788d88fc22 · inbound

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought cites this paper.

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-21T09:34:57.210379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eec13cec-8f0b-45c8-a286-5ab6f9dab34d · inbound

Back to Basics: Let Conversational Agents Remember with Just Retrieval and Generation cites this paper.

Back to Basics: Let Conversational Agents Remember with Just Retrieval and Generation MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:03.480348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fcec0d02-c7c4-423c-bb14-2353cd5e8f85 · inbound

AFA: Identity-Aware Memory for Preventing Persona Confusion in Multi-User Dialogue cites this paper.

AFA: Identity-Aware Memory for Preventing Persona Confusion in Multi-User Dialogue MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:01:17.059955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f1e523a8-dfbb-48b5-a6b8-97c4add05361 · 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 MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 140

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:51:29.915263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3c7d0c3-9347-4275-b64f-3dec451bac3d · inbound

BOOKMARKS: Efficient Active Storyline Memory for Role-playing cites this paper.

BOOKMARKS: Efficient Active Storyline Memory for Role-playing MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 130

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:55:03.867479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bfc2fb63-85aa-47ef-bd0e-389bf9494348 · inbound

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security cites this paper.

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 202

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:45:01.658647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 636b0986-0e19-45cb-a02c-f9be7c42e683 · inbound

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs cites this paper.

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:07:30.157493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5005cbf5-a9fb-4898-9e8a-59c1e7aaace6 · inbound

Are We Ready For An Agent-Native Memory System? cites this paper.

Are We Ready For An Agent-Native Memory System? MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-25T23:58:42.759598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25e38702-cf14-4338-8f93-9154d6cfe72a · inbound

TRUSTMEM: Learning Trustworthy Memory Consolidation for LLM Agents with Long-Term Memory cites this paper.

TRUSTMEM: Learning Trustworthy Memory Consolidation for LLM Agents with Long-Term Memory MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:30:01.305969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b9d7769-4877-4a62-98ae-e78c34832e1f · inbound

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs cites this paper.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T07:48:44.079648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a49f2c6e-f6fd-4f74-b7a7-2ce3cadd22af · inbound

ConMem: Contribution-Aware Memory for Long-Horizon Manufacturing Inspection Logs cites this paper.

ConMem: Contribution-Aware Memory for Long-Horizon Manufacturing Inspection Logs MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T17:07:56.813358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f4a2a33-6c62-45ae-93b7-a6c4363f926d · inbound

MemSIF: From Structured Interactions to Dual-Track Fact Memory for LLM Agents cites this paper.

MemSIF: From Structured Interactions to Dual-Track Fact Memory for LLM Agents MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T21:55:05.930328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6687c156-5d4d-453f-b426-00147043a2eb · inbound

MemSIF: From Structured Interactions to Dual-Track Fact Memory for LLM Agents cites this paper.

MemSIF: From Structured Interactions to Dual-Track Fact Memory for LLM Agents MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:15:10.878750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96c64dc9-d8fa-40b5-a0d3-78565051dcb8 · inbound

Hierarchical Graph Memory for LLM Agents with Path-level Localization and Rewrite cites this paper.

Hierarchical Graph Memory for LLM Agents with Path-level Localization and Rewrite MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T05:27:11.796424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.