Paper Citation Record · LEDGER

Network Interdiction Goes Neural

As of 23 July 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2405.16409.

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

pith.paper-citation-record.v1
2405.16409 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T01:02:52.190276Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+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

26 of 26 outbound references displayed

verified exact4
verified fuzzy21
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c67f2c61-92fe-462f-8e46-0de527815df6 · outbound

This paper cites Learning-based efficient graph similarity computation via multi-scale convolutional set matching.

Network Interdiction Goes Neural Learning-based efficient graph similarity computation via multi-scale convolutional set matching

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.722561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3c8819f1-f4e7-45a0-a0d5-4d29db5a57bf · outbound

This paper cites Maher, Frederic Matter, Erik Mühmer, Benjamin Müller, Marc E.

Network Interdiction Goes Neural Maher, Frederic Matter, Erik Mühmer, Benjamin Müller, Marc E

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.790598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 1561ccfe-1a90-4ed1-b557-41afdaa9dc1d · outbound

This paper cites What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization.

Network Interdiction Goes Neural What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:03:41.271450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ccc4897e-0d3d-49f0-a905-191c3ffb6977 · outbound

This paper cites Khalil, Andrea Lodi, Christopher Morris, and Petar Veliˇckovi´c.

Network Interdiction Goes Neural Khalil, Andrea Lodi, Christopher Morris, and Petar Veliˇckovi´c

Reference 4

Resolution: verified exact; doi, observed 2026-05-24T01:03:40.899574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 611eab24-38ab-4e48-b21c-7a583dc32ead · outbound

This paper cites On representing linear programs by graph neural networks.

Network Interdiction Goes Neural On representing linear programs by graph neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.782677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation c5b0aeac-8fd2-4d21-ae12-8a7a45cb4dd6 · outbound

This paper cites Introduction to algorithms.

Network Interdiction Goes Neural Introduction to algorithms

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.764113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 27c2b6bf-1a92-414a-87c2-6680230e7f8e · outbound

This paper cites Computational methods for deterministic and stochastic network interdiction problems.

Network Interdiction Goes Neural Computational methods for deterministic and stochastic network interdiction problems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.768059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation fcbab07f-76dd-4f1e-9152-ef1ebc442d32 · outbound

This paper cites Handbook of Combinatorial Optimization: Supplement Volume A, volume 1.

Network Interdiction Goes Neural Handbook of Combinatorial Optimization: Supplement Volume A, volume 1

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.729274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 998c8b87-abdd-4c20-8383-dd857fab7438 · outbound

This paper cites Graph neural networks are dynamic programmers.

Network Interdiction Goes Neural Graph neural networks are dynamic programmers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.738626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation fe341598-2cac-4b9a-be2d-302a1cdffaba · outbound

This paper cites an unresolved cited work.

Network Interdiction Goes Neural Unresolved cited work

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.725664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 90c0b10a-3775-454d-9273-f858098a0fac · outbound

This paper cites Exact combinatorial optimization with graph convolutional neural networks.

Network Interdiction Goes Neural Exact combinatorial optimization with graph convolutional neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.711158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 56f541e1-aeae-4054-895b-2cd37da4c3d4 · outbound

This paper cites A gnn-guided predict-and-search framework for mixed-integer linear programming.

Network Interdiction Goes Neural A gnn-guided predict-and-search framework for mixed-integer linear programming

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.715106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 440623b0-19b5-4342-96e6-1d73ea725006 · outbound

This paper cites A GNN-guided predict-and-search framework for mixed-integer linear programming.

Network Interdiction Goes Neural A GNN-guided predict-and-search framework for mixed-integer linear programming

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.748943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7d7a70a5-bb7c-4673-8e4d-c281e762975d · outbound

This paper cites An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.

Network Interdiction Goes Neural An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:03:41.259322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 58681960-4bec-4420-8c5d-e1315c3c188a · outbound

This paper cites Kipf and Max Welling.

Network Interdiction Goes Neural Kipf and Max Welling

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.745577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation b71f9a75-bae8-4b5e-94bc-335d95721d46 · outbound

This paper cites Graph matching networks for learning the similarity of graph structured objects.

Network Interdiction Goes Neural Graph matching networks for learning the similarity of graph structured objects

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.742457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7d9558dd-9a70-4790-9a7c-87cce2ed1db2 · outbound

This paper cites Combinatorial optimization with graph convolu- tional networks and guided tree search.

Network Interdiction Goes Neural Combinatorial optimization with graph convolu- tional networks and guided tree search

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.699411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation f58065eb-27bf-4481-8470-730a46e40b90 · outbound

This paper cites Solving Mixed Integer Programs Using Neural Networks.

Network Interdiction Goes Neural Solving Mixed Integer Programs Using Neural Networks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:03:41.266197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7b74dc6b-c59a-49b1-99df-82ef65d0358a · outbound

This paper cites Learning to solve np-complete problems: A graph neural network for decision tsp.

Network Interdiction Goes Neural Learning to solve np-complete problems: A graph neural network for decision tsp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.756722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 665ebba0-f927-4874-bc06-14f43d68d025 · outbound

This paper cites Ecole: A gym-like library for machine learning in combinatorial optimization solvers.

Network Interdiction Goes Neural Ecole: A gym-like library for machine learning in combinatorial optimization solvers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.760299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 37be86c3-ff4d-441a-8c1a-12d0672e40f9 · outbound

This paper cites Random features strengthen graph neural networks.

Network Interdiction Goes Neural Random features strengthen graph neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.703635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 89794194-2bf0-46f3-9847-5362347cd8fe · outbound

This paper cites an unresolved cited work.

Network Interdiction Goes Neural Unresolved cited work

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.718899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 6b0cd05d-ea2d-4285-b945-d946f481c28c · outbound

This paper cites A survey of network interdiction models and algorithms.

Network Interdiction Goes Neural A survey of network interdiction models and algorithms

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.735103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation b67b4042-4f6a-4eda-b2c6-95b2bc65dfed · outbound

This paper cites Deterministic network interdiction.

Network Interdiction Goes Neural Deterministic network interdiction

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.786790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7640ee15-073c-4140-ab0b-180f5ed271c7 · outbound

This paper cites How powerful are graph neural networks? In International Conference on Learning Representations.

Network Interdiction Goes Neural How powerful are graph neural networks? In International Conference on Learning Representations

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:03:41.776269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation c8b27982-685c-4c6b-a4a3-0944a3d3fe6c · outbound

This paper cites Du, Ken ichi Kawarabayashi, and Stefanie Jegelka.

Network Interdiction Goes Neural Du, Ken ichi Kawarabayashi, and Stefanie Jegelka

Reference 27

Resolution: malformed identifier; raw_fallback, observed 2026-05-24T01:03:41.772228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Pith citing papers

No inbound Pith citation observations are available.