Paper Citation Record · LEDGER

Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1912.02572.

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

pith.paper-citation-record.v1
1912.02572 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:29:13.303844Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:50.839688Z

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 0b8970af-e32b-4697-9083-cd73952bf2a1 · inbound

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions cites this paper.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:13.303844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5a96118-9d84-4e97-a601-2d2dbaf09587 · inbound

PrefBench: Evaluating Zero-Shot LLM Agents in Hidden-Preference Personalized Pricing Negotiations cites this paper.

PrefBench: Evaluating Zero-Shot LLM Agents in Hidden-Preference Personalized Pricing Negotiations Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T00:10:07.267748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f7f1b4de-fd2c-45f0-a4f0-eb664af404fa · inbound

AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing cites this paper.

AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:50.841329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d817cf8f-7b45-4294-9dc5-6fcc65caebf8 · inbound

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data cites this paper.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T02:32:29.630475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.