Paper Citation Record · LEDGER

Optimizing Conversational Product Recommendation via Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2507.01060.

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

pith.paper-citation-record.v1
2507.01060 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:47.234349Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

verified exact5
verified fuzzy1
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da039119-8a6c-41d7-822b-addfe1a77349 · outbound

This paper cites Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access.

Optimizing Conversational Product Recommendation via Reinforcement Learning Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:45:47.439870Z

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.

Observation 05de83db-2d0a-45ff-983e-e167b247e56b · outbound

This paper cites Implementing the Deep Q-Network.

Optimizing Conversational Product Recommendation via Reinforcement Learning Implementing the Deep Q-Network

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:47.129665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826feef9-9901-41fe-8619-bf70fbeed537 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Optimizing Conversational Product Recommendation via Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:47.180360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23833fbe-9de9-4590-bef7-72b2e5e39a6b · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Optimizing Conversational Product Recommendation via Reinforcement Learning Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:47.234349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5940602c-18a0-4aee-9811-35d2cca36d28 · outbound

This paper cites Deep Reinforcement Learning for Dialogue Generation.

Optimizing Conversational Product Recommendation via Reinforcement Learning Deep Reinforcement Learning for Dialogue Generation

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:46.980435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bc1fbbf-797f-482e-9799-0d943e815f88 · outbound

This paper cites Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems.

Optimizing Conversational Product Recommendation via Reinforcement Learning Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems

Reference 2014

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:45:47.919346Z

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.

Observation 82afdd0a-c7d8-44a8-bcb9-8009ef06271d · outbound

This paper cites Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning.

Optimizing Conversational Product Recommendation via Reinforcement Learning Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning

Reference 2016

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:45:47.549196Z

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.

Observation 24b3d801-314e-439f-809f-1de2eafc1f42 · outbound

This paper cites A vehicle routing problem with dynamic demands and restricted failures solved using stochastic predictive control.

Optimizing Conversational Product Recommendation via Reinforcement Learning A vehicle routing problem with dynamic demands and restricted failures solved using stochastic predictive control

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:48.336261Z

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.

Observation fe1890c3-a818-42fe-9106-a58a3d8971b1 · outbound

This paper cites Towards Conversational Recommendation over Multi-Type Dialogs.

Optimizing Conversational Product Recommendation via Reinforcement Learning Towards Conversational Recommendation over Multi-Type Dialogs

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:45:47.762395Z

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.

Observation 39bbec7b-437f-42de-93e2-351623660963 · outbound

This paper cites SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings.

Optimizing Conversational Product Recommendation via Reinforcement Learning SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:45:48.053692Z

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.

Observation 5d7f82d5-c3c3-4b1c-bef4-cd3f9229dca3 · outbound

This paper cites Towards a Human-like Open-Domain Chatbot.

Optimizing Conversational Product Recommendation via Reinforcement Learning Towards a Human-like Open-Domain Chatbot

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:46.828350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7ae8faf-e6da-48d1-8f59-3157e8c9aa96 · outbound

This paper cites Moment Monotonicity of Weibull, Gamma and Log-normal Distributions.

Optimizing Conversational Product Recommendation via Reinforcement Learning Moment Monotonicity of Weibull, Gamma and Log-normal Distributions

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:45:48.194274Z

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.

Observation 537fdb26-9260-4a41-98d5-849d3456c93c · outbound

This paper cites A Survey of Generative Search and Recommendation in the Era of Large Language Models.

Optimizing Conversational Product Recommendation via Reinforcement Learning A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:46.880568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.