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Paper Citation Record · LEDGER

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees

As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.01641.

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

pith.paper-citation-record.v1
2506.01641 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:41:12.518286Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

15 of 15 outbound references displayed

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  • unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation deac57ce-580a-4998-99f3-49375ae23605 · outbound

This paper cites Distributional reinforcement learning-based energy arbitrage strategies in imbalance settlement mechanism.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Distributional reinforcement learning-based energy arbitrage strategies in imbalance settlement mechanism

Reference 1

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Source-reported events for the cited work

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Observation 3117a930-67d3-4a9c-b7fc-58d72757cec8 · outbound

This paper cites Interpreting black-box models: a review on explainable artificial intelligence.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Interpreting black-box models: a review on explainable artificial intelligence

Reference 2

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verified fuzzy
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Source-reported events for the cited work

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Observation e261642f-0648-4551-a834-2563560e0209 · outbound

This paper cites Methodology for interpretable reinforcement learning model for hvac energy control.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Methodology for interpretable reinforcement learning model for hvac energy control

Reference 3

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Source-reported events for the cited work

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Observation 410a7948-b6cf-45cd-94b8-64ee186b9389 · outbound

This paper cites Collective explainable ai: Explaining co- operative strategies and agent contribution in multiagent reinforcement learning with shapley values.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Collective explainable ai: Explaining co- operative strategies and agent contribution in multiagent reinforcement learning with shapley values

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c20eb76e-0299-442c-befa-65d269510cd9 · outbound

This paper cites Explainable reinforcement learning: A survey and comparative review.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Explainable reinforcement learning: A survey and comparative review

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 51b313bf-ed4f-4271-b6e8-b02811661f16 · outbound

This paper cites Explainable ai (xai): Core ideas, techniques, and solutions.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Explainable ai (xai): Core ideas, techniques, and solutions

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1e35dd82-2569-4193-8680-5df45f6bfaa8 · outbound

This paper cites On Explaining Decision Trees.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees On Explaining Decision Trees

Reference 7

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no resolver link, observed 2026-08-07T11:41:10.943383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0bc89876-9136-4eb0-81a8-08393e0e741d · outbound

This paper cites A survey of data-driven and knowledge-aware explainable ai.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees A survey of data-driven and knowledge-aware explainable ai

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 09d5f9c8-e65f-4908-99d9-c1063c668a53 · outbound

This paper cites Offline multi-agent reinforce- ment learning with knowledge distillation.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Offline multi-agent reinforce- ment learning with knowledge distillation

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4d2ddf4c-9a65-47e8-ac7d-1fa50bed5aeb · outbound

This paper cites Distilling a Neural Network Into a Soft Decision Tree.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Distilling a Neural Network Into a Soft Decision Tree

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 241797f0-3829-42d9-a9a5-deb6ee1d6a30 · outbound

This paper cites Distilling deep reinforcement learning policies in soft decision trees.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Distilling deep reinforcement learning policies in soft decision trees

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation adf9cdd3-94f1-4f44-aca7-d6d8d6f74244 · outbound

This paper cites Optimization methods for interpretable differentiable decision trees applied to reinforcement learning.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Optimization methods for interpretable differentiable decision trees applied to reinforcement learning

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 183e0b35-b12c-42d7-b20a-9df361b93eaa · outbound

This paper cites Distill2explain: Differen- tiable decision trees for explainable reinforcement learning in energy application controllers.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Distill2explain: Differen- tiable decision trees for explainable reinforcement learning in energy application controllers

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:12.985093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 49bbea11-9ebc-420f-8f6b-6272f4aafb20 · outbound

This paper cites Classification and regression trees.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees Classification and regression trees

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5bc10d54-7b85-4b19-89ad-ae7905f7b4bb · outbound

This paper cites An openai-gym environment for the building optimization testing (boptest) framework.

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees An openai-gym environment for the building optimization testing (boptest) framework

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:12.751959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

No inbound Pith citation observations are available.