Paper Citation Record · LEDGER

Learning-Based TSP-Solvers Tend to Be Overly Greedy

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2502.00767.

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

pith.paper-citation-record.v1
2502.00767 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:52:29.608594Z

measured 38 of 38 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:39:15.980284Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact2
verified fuzzy21
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b38ab0c-fe7c-43dc-8f07-0a5d59499d53 · outbound

This paper cites Statistical mechanics of complex networks.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Statistical mechanics of complex networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.504178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a9bf61d-252f-411d-a179-757993fd89cb · outbound

This paper cites Finding cuts in the TSP (A preliminary report), volume 95.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Finding cuts in the TSP (A preliminary report), volume 95

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.912935Z

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.

Observation d6f04734-3d1c-41e4-8091-c7c8ff4a0f9c · outbound

This paper cites On the solution of traveling salesman problems.

Learning-Based TSP-Solvers Tend to Be Overly Greedy On the solution of traveling salesman problems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.904609Z

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.

Observation 18268f28-4ce7-4e18-b0a4-360de6949d71 · outbound

This paper cites A review of tsp based approaches for flowshop scheduling.

Learning-Based TSP-Solvers Tend to Be Overly Greedy A review of tsp based approaches for flowshop scheduling

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.896193Z

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.

Observation 7cc30ce2-aba5-4783-b7fa-91e32dbf468d · outbound

This paper cites A transformation technique for the clustered generalized traveling salesman problem with applications to logistics.

Learning-Based TSP-Solvers Tend to Be Overly Greedy A transformation technique for the clustered generalized traveling salesman problem with applications to logistics

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.888021Z

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.

Observation 0f0f8849-bd3f-4dec-b4f7-eb4bb37fb8a5 · outbound

This paper cites Scale-free networks: a decade and beyond.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Scale-free networks: a decade and beyond

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.879223Z

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.

Observation a0ae458d-058d-4367-aac0-9e90f78739f0 · outbound

This paper cites Emergence of scaling in random networks.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Emergence of scaling in random networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.523766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c01b105e-a8bb-418c-857c-c1f592cd0211 · outbound

This paper cites Halton Beardwood Jillian and John Michael Hammersley.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Halton Beardwood Jillian and John Michael Hammersley

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.866460Z

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.

Observation 3d4d620b-8cbc-4f4e-9ebd-f3d4c5ea4c80 · outbound

This paper cites Evolving diverse tsp instances by means of novel and creative mutation operators.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Evolving diverse tsp instances by means of novel and creative mutation operators

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.529532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e9f5ad2-eede-49cb-b34f-a04ad5a104de · outbound

This paper cites Graph drawing by force-directed placement.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Graph drawing by force-directed placement

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.532182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 517bab5b-6e36-4957-9ddb-cf0aaa7df026 · outbound

This paper cites The tsp phase transition.

Learning-Based TSP-Solvers Tend to Be Overly Greedy The tsp phase transition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.848241Z

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.

Observation 53813afe-f066-46b9-a15a-36fd00c03156 · outbound

This paper cites Evolving ensembles of heuristics for the travelling salesman problem.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Evolving ensembles of heuristics for the travelling salesman problem

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.839193Z

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.

Observation fc04d897-5e97-450d-a157-b1b63ebcc0d0 · outbound

This paper cites A dynamic programming approach to sequencing problems.

Learning-Based TSP-Solvers Tend to Be Overly Greedy A dynamic programming approach to sequencing problems

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.830618Z

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.

Observation 225aa8b9-f989-457e-9481-e305475b9c49 · outbound

This paper cites Pointerformer: Deep reinforced multi-pointer transformer for the traveling salesman problem.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Pointerformer: Deep reinforced multi-pointer transformer for the traveling salesman problem

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.822197Z

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.

Observation 5a53f966-dee5-4e36-9f4c-fc637a833ef6 · outbound

This paper cites McGeoch Johnson David S.

Learning-Based TSP-Solvers Tend to Be Overly Greedy McGeoch Johnson David S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.813530Z

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.

Observation 7b649e7c-7e81-4d08-aac8-181f340a209a · outbound

This paper cites Learning the travelling salesperson problem requires rethinking generalization.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Learning the travelling salesperson problem requires rethinking generalization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.548152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5626952-6a74-417e-ae9c-12c39c0c2186 · outbound

This paper cites Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.551041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e71200a-bb53-4d1e-8ab8-c36030772928 · outbound

This paper cites Attention, Learn to Solve Routing Problems!.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Attention, Learn to Solve Routing Problems!

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.553677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c33d3bf-b017-4430-8a27-3dec9576b628 · outbound

This paper cites Pomo: Policy optimization with multiple optima for reinforcement learning.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Pomo: Policy optimization with multiple optima for reinforcement learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.557034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa460f3-65d4-4663-8397-937972d5ac77 · outbound

This paper cites an unresolved cited work.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:52:29.790975Z

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.

Observation d9ec179a-a086-43b0-b988-f42add5b6e0c · outbound

This paper cites Deep learning.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Deep learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.562460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52af167e-5478-4fef-b7b5-f63a55a60fee · outbound

This paper cites Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.565394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21587abb-3b85-41cc-b6f2-0e8e875b0399 · outbound

This paper cites Optimizing cnc drilling machine operations: traveling salesman problem-differential evolution approach.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Optimizing cnc drilling machine operations: traveling salesman problem-differential evolution approach

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.777148Z

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.

Observation b31fed08-6fcb-4f42-99ee-acaee56f55ee · outbound

This paper cites On the capacitated vehicle routing problem.

Learning-Based TSP-Solvers Tend to Be Overly Greedy On the capacitated vehicle routing problem

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.767634Z

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.

Observation 873e4a88-502e-415d-b5fe-3a3fcdde8e33 · outbound

This paper cites Tsplib95.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Tsplib95

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.758684Z

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.

Observation 030e9384-8b1f-4e29-8478-2c8d20171108 · outbound

This paper cites An analysis of several heuristics for the traveling salesman problem.

Learning-Based TSP-Solvers Tend to Be Overly Greedy An analysis of several heuristics for the traveling salesman problem

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.749244Z

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.

Observation 2c3d5fa4-7e52-40cd-a0dc-05a0cefaec07 · outbound

This paper cites an unresolved cited work.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:52:29.739884Z

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.

Observation 61f4126e-589d-4a32-885b-43ebd1bbf4ee · outbound

This paper cites A survey on deep learning-based algorithms for the traveling salesman problem.

Learning-Based TSP-Solvers Tend to Be Overly Greedy A survey on deep learning-based algorithms for the traveling salesman problem

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.731559Z

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.

Observation f11f7bd9-e456-43bd-9245-9a05f9035ab9 · outbound

This paper cites Pointer networks.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Pointer networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.585626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c71dd0b8-dd9c-44c6-a943-a204a50687e9 · outbound

This paper cites A branch and bound algorithm for the symmetric traveling salesman problem based on the 1-tree relaxation.

Learning-Based TSP-Solvers Tend to Be Overly Greedy A branch and bound algorithm for the symmetric traveling salesman problem based on the 1-tree relaxation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.717224Z

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.

Observation 96333325-9576-4001-8c1b-dec12779226c · outbound

This paper cites A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers.

Learning-Based TSP-Solvers Tend to Be Overly Greedy A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-09T17:52:29.655859Z

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.

Observation 494968bb-d04c-406b-b945-30ffbeaa24d3 · outbound

This paper cites Asp: Learn a universal neural solver! IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Asp: Learn a universal neural solver! IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.708068Z

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.

Observation a162df28-f7a9-4f80-a160-efbe580f68b4 · outbound

This paper cites Data optimization in deep learning: A survey, 2023.

Learning-Based TSP-Solvers Tend to Be Overly Greedy Data optimization in deep learning: A survey, 2023

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.698654Z

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.

Observation bc46de4c-59ba-4729-9bc9-c5d8f4440fd8 · outbound

This paper cites The Transformer Network for the Traveling Salesman Problem.

Learning-Based TSP-Solvers Tend to Be Overly Greedy The Transformer Network for the Traveling Salesman Problem

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:29.599808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2595a078-4f0f-4d78-840d-2ef31032b1ed · outbound

This paper cites It’s not what machines can learn, it’s what we cannot teach.

Learning-Based TSP-Solvers Tend to Be Overly Greedy It’s not what machines can learn, it’s what we cannot teach

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.689400Z

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.

Observation 17d6aa4d-2ae6-42a6-863b-0669a644e4a3 · outbound

This paper cites CycleFormer : TSP Solver Based on Language Modeling.

Learning-Based TSP-Solvers Tend to Be Overly Greedy CycleFormer : TSP Solver Based on Language Modeling

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-09T17:52:29.635826Z

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.

Observation 6d5d2d72-f241-4506-8783-40c5e2c427df · outbound

This paper cites universal neural solver.

Learning-Based TSP-Solvers Tend to Be Overly Greedy universal neural solver

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:52:29.680794Z

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.

Pith citing papers

Observation bfadfa8d-ad96-402f-ba75-5f0d1cf538cf · inbound

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning cites this paper.

Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Learning-Based TSP-Solvers Tend to Be Overly Greedy

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:15.980284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.