Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2507.02698.

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

pith.paper-citation-record.v1
2507.02698 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:29:16.402684Z

measured 64 of 64 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:02:56.825004Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:50.829089Z

Reference resolution

63 of 63 outbound references displayed

verified exact20
verified fuzzy4
unresolved31
parse uncertain0
malformed identifier7
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9b33be4-66e2-4264-91ab-556638d9865b · outbound

This paper cites Snellius: de Nationale Supercomputer.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Snellius: de Nationale Supercomputer

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:25.780529Z

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 130c883b-500d-4ac0-bb6d-9665e46057b7 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T20:29:19.871012Z

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 9e34861d-2eb6-4727-9f03-cabefa2a09a8 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:29:21.754111Z

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 01a73798-de4e-4272-a6c3-a62d54d4a92f · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 4

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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 c6ffe257-82e9-4760-af19-67e278ee98bd · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:08.532013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb148c67-26c4-46dd-ad6c-a6c5e19f4a98 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T20:29:19.724333Z

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 559f5252-d5a9-4d2b-9b35-6eceef60f269 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:08.782014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3133395b-21f5-4b31-960a-af74084e2f6b · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:25.572508Z

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 c186cff5-f5bd-43ba-9da3-9e91ff8643ce · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:09.129755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c94f40-993f-4fd1-b2ac-c3dcfc969951 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:09.285434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92e2f868-1c65-412a-9641-502c793b38be · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T20:29:19.590005Z

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 4f105b3c-38e8-4090-846a-d2fc5619d556 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:09.546123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba7199e-4514-436a-acac-144f44ef72fa · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:09.682850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f94116c-e09d-41a4-9052-34dee9332ecc · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:25.361611Z

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 4b19c71b-0265-461d-aeb2-c1522b35ebee · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T20:29:19.421258Z

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 3ab3a4a3-f7f7-40c3-a24b-b41fc8a6003c · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:10.315459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f9bfaba-3906-45c8-832f-1643718d1f6e · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:29:20.878731Z

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 b2d0d898-025b-461c-8ac1-22a393bb5017 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:29:20.689007Z

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 fc5813b1-70e2-4afc-adf0-64f1ed1159d5 · outbound

This paper cites Learning to Communicate with Deep Multi-Agent Reinforcement Learning.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:10.678948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48013670-e915-4484-bc7d-d924f163b261 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 20

Resolution: verified exact; doi, observed 2026-08-06T20:29:19.184640Z

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 1aec220c-27c7-4825-82f4-da67fae82123 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-06T20:29:18.940791Z

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 2c6957b9-f0d1-4f66-a66b-5a02ed697d60 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 22

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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 1565b1f2-d0c2-487b-bace-ed11ace02a2f · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:11.255292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7dfd59c-3cc2-4fe2-990f-f78697cd1a64 · outbound

This paper cites Hendricks and Kate W.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Hendricks and Kate W

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:11.380332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aac830d-c546-4b4f-ac10-3be925a83dfc · outbound

This paper cites Scaling laws for single-agent reinforcement learning.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Scaling laws for single-agent reinforcement learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:11.556414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3783fd37-06d1-4669-bd6f-623111f0a000 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 26

Resolution: verified exact; doi, observed 2026-08-06T20:29:18.704392Z

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 8b6ebe7a-adbe-47eb-9c7c-18dbc1b63198 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 27

Resolution: verified exact; doi, observed 2026-08-06T20:29:18.593097Z

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 da103f51-ec98-424b-9f5b-34e99cb19b40 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:24.813285Z

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 a85e6260-0ec4-4a9b-8b37-f8283aec0154 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-06T20:29:18.460653Z

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 44191092-5e80-421f-bfec-a87690815afb · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:24.543379Z

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 d24e8000-2c92-4f0d-8371-fde89eb8571e · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 629e5f4c-f436-422f-a328-33fbbbf43bb7 · outbound

This paper cites Konda and John N.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Konda and John N

Reference 32

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T20:29:24.195442Z

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 4198f2bf-1acf-493d-b826-4ae7bf93f792 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:23.854475Z

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 2e656425-c613-4a2f-b113-1f116bdf49fc · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:23.532678Z

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 e9dabf95-f8b4-4c16-8475-98ee32f6d760 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 35

Resolution: verified exact; doi, observed 2026-08-06T20:29:18.372843Z

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 265b050b-b237-4871-bdbe-d4e05bd60f54 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b8970af-e32b-4697-9083-cd73952bf2a1 · outbound

This paper cites Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment.

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 9ac9bda0-bb6a-4a68-b6c5-ea9e83d48d8c · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cb0c83f-cb0f-4ef2-948f-5f53fd4afc3f · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 40

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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 1d8e33d3-1b1f-41ed-af6c-b5e94d42cdc7 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4952db4d-da68-4135-a4ae-2ee46f75fe64 · outbound

This paper cites https://github.com/openai/maddpg Archived codebase provided as-is, based on the NeurIPS 2017 paper.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions https://github.com/openai/maddpg Archived codebase provided as-is, based on the NeurIPS 2017 paper

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:22.769099Z

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 2cb7e7bf-0f90-4ba3-a85b-7e5371a0af0b · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:22.471240Z

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 58a15160-1d0d-450b-9635-22da1f0ec849 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 44

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Source-reported events for the cited work

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Observation ab1dc2ac-904a-4720-9104-66b764d8aa8e · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:14.299632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cddb635d-4787-4a39-a0fb-120a6dfb91bf · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:14.697760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77ff5e8f-6f23-4b66-a98e-c981134394d6 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:14.804378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b32f4b0c-3907-41a0-a7e1-c7ce722d5905 · outbound

This paper cites QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:14.571680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adbe308b-3f23-46e7-91fa-7338549d1c08 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 49

Resolution: malformed identifier; no resolver link, observed 2026-08-06T20:29:14.982126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df34b0e2-df6a-4900-991b-fd32ebce6154 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:15.119548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 938d2c47-21cc-4864-a734-f4adea139a82 · outbound

This paper cites Implementing the Deep Q-Network.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Implementing the Deep Q-Network

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:29:17.885898Z

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 789d9cc6-724a-4400-a367-7ab64cd6539f · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 52

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:29:20.090430Z

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 e8df9342-8a68-425b-963a-9e4f20d5d4c2 · outbound

This paper cites Static Pricing for Online Selection Problem and its Variants.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Static Pricing for Online Selection Problem and its Variants

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:29:17.348694Z

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.

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This paper cites Graves, Douglas A.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Graves, Douglas A

Reference 54

Resolution: verified exact; doi, observed 2026-08-06T20:29:17.615685Z

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 d4ceb7cc-3946-4cbe-938c-a57ddeffd2af · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 55

Resolution: verified exact; doi, observed 2026-08-06T20:29:16.896585Z

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 62a276e2-5047-40ad-8b21-17f31ae9dd5e · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 56

Resolution: verified exact; doi, observed 2026-08-06T20:29:16.644044Z

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 604340aa-9ed8-420c-824f-1cb6e478a121 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 57

Resolution: verified exact; doi, observed 2026-08-06T20:29:17.098375Z

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 a3f585e8-25e4-47bf-baa6-c88266b1eb76 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:16.072731Z

Source-reported events for the cited work

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Observation c49fe91a-fe4e-4a43-9951-8f8c817427a4 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:16.186185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c0955f4-5cc2-496a-a96b-f1db5f1a76d6 · outbound

This paper cites an unresolved cited work.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:15.990002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7aba37b-c24b-4741-8c36-486532749ae4 · outbound

This paper cites Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:16.402684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2dfb5f8-a62b-4cbc-a7ac-3e81f9d1653f · outbound

This paper cites 2016.Automated Pricing Agents in the On-Demand Economy.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions 2016.Automated Pricing Agents in the On-Demand Economy

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:22.102766Z

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 54fad510-e79a-4083-a5e2-2e6e77d7508d · outbound

This paper cites In Advances in Neural Information Processing Systems , Vol.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions In Advances in Neural Information Processing Systems , Vol

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:23.108572Z

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 17bdd902-c895-40e5-9916-90d55aad232a · outbound

This paper cites INFORMS Journal on Applied Analytics 51, 1 (2021), 76–89.

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions INFORMS Journal on Applied Analytics 51, 1 (2021), 76–89

Reference 2021

Resolution: malformed identifier; no resolver link, observed 2026-08-06T20:29:09.966441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation edac2389-7b61-44b2-aeab-288cf5ea79d9 · 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 Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:50.830522Z

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.