Paper Citation Record · LEDGER

Self-evolving Agentic Customer Support System at LinkedIn

As of 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2608.10224.

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

pith.paper-citation-record.v1
2608.10224 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:17:09.294799Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact1
verified fuzzy1
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0c27bd0-49d2-43a1-9b16-0654c4b83716 · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

Self-evolving Agentic Customer Support System at LinkedIn Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.212400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea82338-05fb-4a7b-8f2b-76e604b1e4fc · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Self-evolving Agentic Customer Support System at LinkedIn DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.221614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b58e620-bf5a-4e9e-bc77-72165e2941fe · outbound

This paper cites Holistic Evaluation of Language Models.

Self-evolving Agentic Customer Support System at LinkedIn Holistic Evaluation of Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.226916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4298e67-5268-48fb-a86c-e91389ccfe12 · outbound

This paper cites Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs.

Self-evolving Agentic Customer Support System at LinkedIn Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.243602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f1b3ae-51c2-4cac-8835-e6caa1079e38 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Self-evolving Agentic Customer Support System at LinkedIn MemGPT: Towards LLMs as Operating Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.249271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d604a303-20fb-49fd-97c5-30b44e338de3 · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

Self-evolving Agentic Customer Support System at LinkedIn Measuring and Narrowing the Compositionality Gap in Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.260389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4d170b4-99a2-4c79-8b5c-8b7f82f53bc7 · outbound

This paper cites Benchmarking Agentic Workflow Generation.

Self-evolving Agentic Customer Support System at LinkedIn Benchmarking Agentic Workflow Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.265748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc9e9580-4b7d-4555-a8e0-180aaaa5580a · outbound

This paper cites COMET: A Neural Framework for MT Evaluation.

Self-evolving Agentic Customer Support System at LinkedIn COMET: A Neural Framework for MT Evaluation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.270498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90af35d1-ff57-4b5e-b703-87b8e2085735 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Self-evolving Agentic Customer Support System at LinkedIn Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.275284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9b0400b-9c9a-4b1f-b0d4-dbcc120f0f28 · outbound

This paper cites Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge.

Self-evolving Agentic Customer Support System at LinkedIn Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.279667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48da2932-5204-40f3-89e1-935ebc757f61 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Self-evolving Agentic Customer Support System at LinkedIn AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.284835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ded5e5-c663-455f-8082-8955041fb9ff · outbound

This paper cites Corrective Retrieval Augmented Generation.

Self-evolving Agentic Customer Support System at LinkedIn Corrective Retrieval Augmented Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.289665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4048f556-7fcd-410f-912a-19f0a9dc0352 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Self-evolving Agentic Customer Support System at LinkedIn Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.294799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21a90bf1-dda2-41cd-b20e-bab695be9d8b · outbound

This paper cites Passage Re-ranking with BERT.

Self-evolving Agentic Customer Support System at LinkedIn Passage Re-ranking with BERT

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.237441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29cb889d-fa62-4196-8dbb-a4dd0535b447 · outbound

This paper cites an unresolved cited work.

Self-evolving Agentic Customer Support System at LinkedIn Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:17:09.641801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d42b3534-2f94-447a-b455-dab822c63754 · outbound

This paper cites In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 9019–9052.

Self-evolving Agentic Customer Support System at LinkedIn In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 9019–9052

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:17:09.624824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ad65bee-6fc3-4466-b801-44b4dc30f68f · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

Self-evolving Agentic Customer Support System at LinkedIn Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.207285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52db058f-3ee1-4010-8e73-16763bcb45c2 · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

Self-evolving Agentic Customer Support System at LinkedIn Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:09.201472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e546a136-1587-4152-b7c6-6fbb4bda49ab · outbound

This paper cites MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation.

Self-evolving Agentic Customer Support System at LinkedIn MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:17:09.475038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.