Paper Citation Record · LEDGER

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization

As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2505.16471.

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

pith.paper-citation-record.v1
2505.16471 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:33.483465Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

14 of 14 outbound references displayed

verified exact2
verified fuzzy5
unresolved5
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 127677e3-9401-4b2f-ab42-d927d5e20f12 · outbound

This paper cites D., Das, S., and Jalaian, B.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization D., Das, S., and Jalaian, B

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:35.346398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dd4d785b-4d2e-4def-ba89-53d7af0164ab · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Semi-Supervised Classification with Graph Convolutional Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:32.555971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b41599d6-abe8-4d06-8fb4-42a22faa98a3 · outbound

This paper cites Value-Decomposition Networks For Cooperative Multi-Agent Learning.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:33.220077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b77f96-85b7-499e-b85f-363091e32d93 · outbound

This paper cites Machine Selection crossovers are in 50% two-point and 50% uniform crossover.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Machine Selection crossovers are in 50% two-point and 50% uniform crossover

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:05:34.544716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 848db931-7059-4dbb-8ed4-f4274ad960ce · outbound

This paper cites The results, presented in Table 10, compare the best obtained HV values, aligned with the experimental setup of Lin et al.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization The results, presented in Table 10, compare the best obtained HV values, aligned with the experimental setup of Lin et al

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:34.177183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cce5a3af-51ce-48c8-9135-6d9009fc8ae3 · outbound

This paper cites an unresolved cited work.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Unresolved cited work

Reference 100

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:05:34.382932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87d23684-2d68-41f1-b395-080f713e5c22 · outbound

This paper cites an unresolved cited work.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Unresolved cited work

Reference 1998

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:05:34.823140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 562be43d-0d30-4bbc-9c39-1f940230bb2b · outbound

This paper cites an unresolved cited work.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Unresolved cited work

Reference 2007

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:05:35.236956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa25a14a-f545-4229-baba-d372de63b84f · outbound

This paper cites Pareto Set Learning for Neural Multi-objective Combinatorial Optimization.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Pareto Set Learning for Neural Multi-objective Combinatorial Optimization

Reference 2011

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:05:33.961756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1a476f1-0c7a-4ba3-9941-5c558c4366d0 · outbound

This paper cites F., Eimer, T., Hutter, F., and Lindauer, M.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization F., Eimer, T., Hutter, F., and Lindauer, M

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:35.436480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c6a11f3b-a70e-4524-afcd-8a8c41b64e19 · outbound

This paper cites Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization

Reference 2016

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:05:33.720495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 36fef232-761f-4a4e-bc31-3ec4e7fcfef2 · outbound

This paper cites Learning step-size adaptation in cma-es.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Learning step-size adaptation in cma-es

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:34.960504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 069a100d-0ca3-486c-9b19-4665ee81debd · outbound

This paper cites Deep reinforcement learning for adaptive parameter control in differential evolution for multi-objective optimization.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Deep reinforcement learning for adaptive parameter control in differential evolution for multi-objective optimization

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:35.096101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f3a9487e-404c-4fa0-b8d1-14a2cf0616e5 · outbound

This paper cites Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods.

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:32.991899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.