Paper Citation Record · LEDGER

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.18286.

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

pith.paper-citation-record.v1
2607.18286 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:19:40.066335Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

24 of 24 outbound references displayed

verified exact1
verified fuzzy0
unresolved23
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malformed identifier0
metadata mismatch0

External citation measurements

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Outbound references

Observation c1c04dda-9529-48ff-8469-1a39cab8aa2f · outbound

This paper cites Transit signal priority (tsp): A planning and implementation handbook,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Transit signal priority (tsp): A planning and implementation handbook,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:36.711195Z

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Unavailable: canonical work link unavailable.

Observation 21f50261-912b-405d-aee0-99ebcc47769b · outbound

This paper cites Accessed 2026-05-13.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Accessed 2026-05-13

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:36.804192Z

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Observation ca1abaef-85f3-4b7e-bbd1-8d3db3f74b5c · outbound

This paper cites Deep reinforcement learning for transit signal priority in a connected environment,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Deep reinforcement learning for transit signal priority in a connected environment,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:36.899196Z

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Observation fcb1e06d-cb54-4606-9fb0-6b88fb957f91 · outbound

This paper cites Deep reinforcement learning two-way transit signal priority algorithm for opti- mizing headway adherence and speed,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Deep reinforcement learning two-way transit signal priority algorithm for opti- mizing headway adherence and speed,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:37.030573Z

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Observation 88558379-bd75-4e99-b007-4811f80abdc6 · outbound

This paper cites Multi-agent reinforcement learning for co- operative transit signal priority to promote headway adherence,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Multi-agent reinforcement learning for co- operative transit signal priority to promote headway adherence,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:37.154485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04bb9f75-cfeb-4796-bfc6-986457ebb628 · outbound

This paper cites Constrained traffic signal control under competing public transport priority requests via safe reinforcement learning,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Constrained traffic signal control under competing public transport priority requests via safe reinforcement learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:37.288095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34620826-9c7a-4f71-87bb-808273cbdeee · outbound

This paper cites Universal value function approximators,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Universal value function approximators,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:37.438480Z

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Unavailable: canonical work link unavailable.

Observation 0a13ca1c-3e89-4453-b16a-f9096d439d29 · outbound

This paper cites Dynamic weights in multi-objective deep reinforcement learning,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Dynamic weights in multi-objective deep reinforcement learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:37.587344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7257f738-ad30-4128-a603-2c623f5709ef · outbound

This paper cites Pareto conditioned net- works,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Pareto conditioned net- works,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:37.703790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 125c4571-3338-48b9-9d10-220cb3e032cd · outbound

This paper cites Reinforcement learning benchmarks for traffic signal control,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Reinforcement learning benchmarks for traffic signal control,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:37.847834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60674f63-6fc6-4d46-a397-4bc4cfa58269 · outbound

This paper cites Reinforcement learning for traffic signal control: Comparison with commercial systems,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Reinforcement learning for traffic signal control: Comparison with commercial systems,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:38.033957Z

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Unavailable: canonical work link unavailable.

Observation 86283967-92c6-4a0c-9242-9b466b369a3d · outbound

This paper cites Libsignal: an open library for traffic signal control,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Libsignal: an open library for traffic signal control,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:38.171272Z

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Observation 0ffb995c-0c11-4883-be7a-77a4bd5bc6a0 · outbound

This paper cites IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:38.492589Z

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Observation 9752e6c5-a227-4b91-916f-202b972ae7fc · outbound

This paper cites SUMO-RL,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority SUMO-RL,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:38.634851Z

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Observation d0e8a53f-0e00-4927-aded-f02efb5b6719 · outbound

This paper cites Microscopic traffic simulation using sumo,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Microscopic traffic simulation using sumo,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:38.736360Z

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Observation 2ae3d59a-b390-4c99-91d4-cd5a0888605d · outbound

This paper cites Domain randomization for transferring deep neural networks from sim- ulation to the real world,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Domain randomization for transferring deep neural networks from sim- ulation to the real world,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:38.844017Z

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Observation 834e6c0d-c590-4452-9361-57d7d81ec224 · outbound

This paper cites Bridging the reality gap of reinforcement learning based traffic signal control using domain randomization and meta learning,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Bridging the reality gap of reinforcement learning based traffic signal control using domain randomization and meta learning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:39.026123Z

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Observation 4de81f9f-bb50-4d47-9e80-07fba9ced0ab · outbound

This paper cites Generalight: Improving environment generalization of traffic signal control via meta reinforcement learning,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Generalight: Improving environment generalization of traffic signal control via meta reinforcement learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:39.177115Z

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Unavailable: canonical work link unavailable.

Observation 14f0226e-97e9-41db-bb26-3b057847fee8 · outbound

This paper cites Optimization and simulation of fixed-time traffic signal control in real-world applications,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Optimization and simulation of fixed-time traffic signal control in real-world applications,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:39.301312Z

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Observation 46cc5bc8-1826-4a45-b1e7-f8056d9d2e81 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Stable-baselines3: Reliable reinforcement learning implementations,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:39.472751Z

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Observation c0afc9d7-e667-4107-ab54-97b7aa0cf99a · outbound

This paper cites A generalized algorithm for multi-objective reinforcement learning and policy adaptation,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority A generalized algorithm for multi-objective reinforcement learning and policy adaptation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:39.926982Z

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Observation 21ef76d4-cafa-4494-bb20-5f611be9a4b2 · outbound

This paper cites A toolkit for reliable benchmarking and research in multi-objective reinforcement learning,.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority A toolkit for reliable benchmarking and research in multi-objective reinforcement learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:40.066335Z

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Observation 2f5594ed-d2db-47db-a2f3-80a3f716a815 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Proximal Policy Optimization Algorithms

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:39.778749Z

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Observation a505756c-5a15-4c1d-bef7-78f1dad013bf · outbound

This paper cites Available: https://doi.org/10.1007/s10994-023-06412-y.

Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority Available: https://doi.org/10.1007/s10994-023-06412-y

Reference 2023

Resolution: verified exact; doi, observed 2026-08-02T09:23:26.436026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.