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Paper Citation Record · LEDGER

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch

As of 5 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2606.13604.

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

pith.paper-citation-record.v1
2606.13604 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:47:25.303458Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80ec4d6d-b100-4b1f-9407-358bb6ebc729 · outbound

This paper cites Transportation Science , volume=.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Transportation Science , volume=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:f77e8a69cff7fd12531e5fc8e883768c41f7a0cc500507eac16b24fa34c5e268

Observation fef0caa4-91e0-4b20-8fdc-4ecd773e1a64 · outbound

This paper cites Transportation Research Part C: Emerging Technologies , volume=.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Transportation Research Part C: Emerging Technologies , volume=

Reference 2

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unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:0c02d3f6ba0433e3ae59a35d1ccde087e6a8c573ee74b489a818a55843da45ef

Observation c0ce16f8-7da8-4587-a77a-3dc35fe4336e · outbound

This paper cites Tsinghua Science and Technology , volume=.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Tsinghua Science and Technology , volume=

Reference 3

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unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:feb3dd5a7c4e13459d58edc883f4791acd22cb0e10f0690178e451dd3c9e6a27

Observation 52afc320-7e57-4f50-b07d-f5c239b23a2c · outbound

This paper cites Knowledge-Based Systems , volume=.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Knowledge-Based Systems , volume=

Reference 4

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unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:becab016f99cb77203042bdde70ae012ea3e13bff281bfd647107e32ea20b2ee

Observation 06cbe522-283c-4bed-a28f-cdc8b61bfe0a · outbound

This paper cites Applied Intelligence , year=.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Applied Intelligence , year=

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:33b511ae887b66e9fe7c8b0e176d2c2239919e27b2e5cdcca3c5999db1c4de5c

Observation 8a791108-ad90-43fc-8682-dc7738340958 · outbound

This paper cites 2018 , howpublished =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch 2018 , howpublished =

Reference 6

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unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:cbbf98f6ac179e711eab830c1fb6e6e80a994a04b03af2bb6e4d92c6ac730737

Observation d475833b-025e-40be-b479-6ab26adbe51e · outbound

This paper cites 2025 , howpublished =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch 2025 , howpublished =

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:b60934ce6b4b25c710c41545a84998fd5e2296f1053c6ac5e2f00c9fbd1ce088

Observation fa681152-311a-44da-94a0-be8294318f53 · outbound

This paper cites 2018 , howpublished =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch 2018 , howpublished =

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:19ad9f575ad30c5ad4badd6c4b54cdcc4e4f9c4ea7f01d6573ae2ecd2725095e

Observation 4340ef0d-04f4-4865-931b-32e517fe4fa4 · outbound

This paper cites 2023 , howpublished =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch 2023 , howpublished =

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:e0e1849d00daf4089dbf9c0d29626642a23a4f3fa549c6ee755b2df8ab4b5e33

Observation 2ac6560a-24fc-4678-bb07-0da1812b0bc2 · outbound

This paper cites Computers & Industrial Engineering , volume =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Computers & Industrial Engineering , volume =

Reference 10

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unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:904430b0d1d751af2a3300c66d5db361bf1d557ebc118713d3102a0dcda99923

Observation da71e8f0-a5ae-462f-9187-de091106f66a · outbound

This paper cites Proceedings of the IEEE Real-Time Systems Symposium (RTSS) , year =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Proceedings of the IEEE Real-Time Systems Symposium (RTSS) , year =

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:757cb5fcd7b7f385d21fa464ca6dc7dff7414111002e42be8b26e5c7ff70fb5f

Observation 2a1135c2-4b96-420d-9816-7e47266f619b · outbound

This paper cites International Journal of Transportation Science and Technology , volume =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch International Journal of Transportation Science and Technology , volume =

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:6d4422adca169074209c8f2c4b57acbd508e6bd6e0fed3401be661808fa0a260

Observation ba7af13e-0640-4138-bdc7-60d9bbe2a4bb · outbound

This paper cites 2025 , eprint =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch 2025 , eprint =

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:1ced68394909a99263a96e80934acd85267161e455966cb613eac255de3d0779

Observation 399fb3a0-b32b-49f6-afbf-0ce4f9d02232 · outbound

This paper cites Rusu and Joel Veness and Marc G.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Rusu and Joel Veness and Marc G

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:576e436b62492f6ba0d3d850aa98f919b5bbae585348ca01217a2f897614bd26

Observation 4aa6abea-9b0d-449a-8b2c-178deb715917 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:09b8192b26547d1e09c32db309e1f420bd10c789e47a28bf1e9fdcf6d1aa3aab

Observation 5940305a-51e1-4196-bc84-3c431b88c617 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Advances in Neural Information Processing Systems , volume =

Reference 16

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unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:70fe8d76667d51d172e0cde8284ef8a7e5ce9ffb7d20ef0e30735ec17981f887

Observation 5236fc81-7c0d-4890-98d7-fdabc2e3d45d · outbound

This paper cites 2024 , eprint =.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch 2024 , eprint =

Reference 17

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unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:b2037024846b004c4c64535f37bf4d3ed37d1c361b5ddbae1ee4ebff1357f9b5

Observation 00302eb0-6d06-4991-b5d5-99a11fbec8a1 · outbound

This paper cites Management Science , volume=.

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Management Science , volume=

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-27T06:47:25.303458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T06:47:25.303458Z digest=sha256:26f3049ca5c23d03ece824fe904cd110ebf8842cddd1e63fb5a954fe1f9613a6

Pith citing papers

No inbound Pith citation observations are available.