Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-10T02:49:33.567169Z
Paper Citation Record · LEDGER
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning
As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.08703.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
13 of 13 outbound references displayed
- verified exact7
- verified fuzzy1
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 527032db-e6bd-485f-bbe4-4c94db1ad857 · outbound
This paper cites Learning Combinatorial Optimization Algorithms over Graphs.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Learning Combinatorial Optimization Algorithms over Graphs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T02:56:43.527026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5c09f99d-0614-4432-b257-bb9aef27692e · outbound
This paper cites 26 Michael Hamann and Ben Strasser.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning 26 Michael Hamann and Ben Strasser
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-10T02:56:43.429880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 69914551-a650-43d5-83e6-8a9b5086aeee · outbound
This paper cites Autoopen.https://docs.lightning.engineering/lightning-network-tools/ lightning-terminal/autoopen, 2024a.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Autoopen.https://docs.lightning.engineering/lightning-network-tools/ lightning-terminal/autoopen, 2024a
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:56:44.018102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f9a7d69c-0ac5-40b3-a61a-9ab12c036677 · outbound
This paper cites Continuous control with deep reinforcement learning.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Continuous control with deep reinforcement learning
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T02:56:43.517002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8ad9131a-7af0-45cf-8b20-f10d2e21a72e · outbound
This paper cites Asynchronous Methods for Deep Reinforcement Learning.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T02:56:43.532753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b9963c1e-6423-4d81-8487-8673f6f3a822 · outbound
This paper cites Optimally Reliable & Cheap Payment Flows on the Lightning Network.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Optimally Reliable & Cheap Payment Flows on the Lightning Network
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T02:56:43.519544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 10c4784a-3b73-45bf-ace4-a5cc402f4f5e · outbound
This paper cites Security and Privacy of Lightning Network Payments with Uncertain Channel Balances.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Security and Privacy of Lightning Network Payments with Uncertain Channel Balances
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T02:56:43.524328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 16c87d4a-5cdc-4c5f-a42a-f0d384c3d9ba · outbound
This paper cites Proximal Policy Optimization Algorithms.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Proximal Policy Optimization Algorithms
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T02:56:43.535683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 67c0c48d-3c31-4337-8e81-e99acdd6eeaa · outbound
This paper cites In: International Conference on Learning Representations (ICLR) (2019).
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning In: International Conference on Learning Representations (ICLR) (2019)
Reference 10
- Resolution
- verified exact
- doi, observed 2026-07-10T02:56:43.426960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1199b9c6-0038-4ab9-a9cb-acd7c3281e6d · outbound
This paper cites Channel balance interpolation in the lightning network via machine learning.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Channel balance interpolation in the lightning network via machine learning
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-10T02:56:43.530123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1908a265-4f27-47e1-b2fb-d67fb53287ea · outbound
This paper cites Flash: Efficient Dynamic Routing for Offchain Networks.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Flash: Efficient Dynamic Routing for Offchain Networks
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T02:56:43.521927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5378380f-54ef-4d1f-af28-ced1a9ad195f · outbound
This paper cites doi: 10.1109/TNNLS.2023.3281643.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning doi: 10.1109/TNNLS.2023.3281643
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T02:56:43.432896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 72a529ca-9641-42d9-9415-c4a3805fb479 · outbound
This paper cites an unresolved cited work.
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-07-10T02:56:44.016234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.