Paper Citation Record · LEDGER

From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.02777.

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

pith.paper-citation-record.v1
2401.02777 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:50:00.179402Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:16:41.756343Z

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 d928b433-9d7e-41df-9b80-2f327173de4e · inbound

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey cites this paper.

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:16:41.758284Z

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.

Observation 45a07ed6-ae4e-4bc8-8523-8826db4d0170 · inbound

Effective Red-Teaming of Policy-Adherent Agents cites this paper.

Effective Red-Teaming of Policy-Adherent Agents From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:00.179402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf71a29c-a9fe-40af-9f63-a17feb677c9f · inbound

OAgents: An Empirical Study of Building Effective Agents cites this paper.

OAgents: An Empirical Study of Building Effective Agents From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:48.011470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2303844d-d03d-4d4b-a1d9-22cc4a392e07 · inbound

Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection cites this paper.

Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:08.101243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8931d49a-fabd-42e7-9820-d0c202a20bee · inbound

Libra: Large Chinese-based Safeguard for AI Content cites this paper.

Libra: Large Chinese-based Safeguard for AI Content From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T12:17:38.693434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49510274-b3d0-4554-8585-3880f9369408 · 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 From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:03.517913Z

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.

Observation 76539696-d565-4e0f-92ae-adf0d52c5469 · inbound

IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters cites this paper.

IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:40:19.463808Z

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.