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Paper Citation Record · LEDGER

On Distributional Dependent Performance of Classical and Neural Routing Solvers

As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2508.02510.

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

pith.paper-citation-record.v1
2508.02510 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:05:26.549203Z

measured 50 of 50 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

50 of 50 outbound references displayed

  • verified exact5
  • verified fuzzy33
  • unresolved10
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6dab9385-362b-4b0e-81ce-91485929e3c4 · outbound

This paper cites Attention, filling in the gaps for generalization in routing problems.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Attention, filling in the gaps for generalization in routing problems

Reference 1

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

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Observation abd3b694-001e-41cf-b811-8ec560d673df · outbound

This paper cites Le, Mohammad Norouzi, and Samy Bengio.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Le, Mohammad Norouzi, and Samy Bengio

Reference 2

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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.

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Observation 77171ea6-7f5a-4c6a-a93b-f07619ebbad3 · outbound

This paper cites Machine learning for combinatorial optimization: A methodological tour d’horizon.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Machine learning for combinatorial optimization: A methodological tour d’horizon

Reference 3

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Observation 6fca3fcb-9df3-47c3-91a3-078bc9f97d2c · outbound

This paper cites RouteFinder: Towards Foundation Models for Vehicle Routing Problems, June 2024.

On Distributional Dependent Performance of Classical and Neural Routing Solvers RouteFinder: Towards Foundation Models for Vehicle Routing Problems, June 2024

Reference 4

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raw_fallback, observed 2026-08-06T05:05:30.782807Z

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.

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Observation 9051150d-00f7-4e59-a142-e3135d3abf06 · outbound

This paper cites Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation

Reference 5

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local_arxiv, observed 2026-08-06T05:05:27.637253Z

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.

source=pdf_text observed=2026-08-06T05:05:22.882967Z digest=sha256:0707f70c51332890639b2040b93fca72a2064966b8988df699731aac6097aead

Observation 9a78767b-ebd4-441d-99c1-82c3ea1310c8 · outbound

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

On Distributional Dependent Performance of Classical and Neural Routing Solvers Evolving diverse tsp instances by means of novel and creative mutation operators

Reference 6

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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.

source=pdf_text observed=2026-08-06T05:05:22.954395Z digest=sha256:eeb6db2899b67f0ddeb7a123a8640e2759ae49b38dffc96a26dd708f97545ff7

Observation ea591b05-795e-4b93-9f27-15f90e6dc824 · outbound

This paper cites The Transformer Network for the Traveling Salesman Problem, March 2021.

On Distributional Dependent Performance of Classical and Neural Routing Solvers The Transformer Network for the Traveling Salesman Problem, March 2021

Reference 7

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raw_fallback, observed 2026-08-06T05:05:30.742524Z

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.

source=pdf_text observed=2026-08-06T05:05:23.055584Z digest=sha256:89c6e935113424ad92c507ceba03a660fb88554a6d9d079900e84e064d22ad34

Observation 3ff6f570-3722-4aaf-8ec0-241630c771bb · outbound

This paper cites Combinatorial Optimization with Policy Adaptation using Latent Space Search.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Combinatorial Optimization with Policy Adaptation using Latent Space Search

Reference 8

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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.

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Observation fd4a9706-57ab-412b-834f-b35999c08a96 · outbound

This paper cites Simulation-guided Beam Search for Neural Combinatorial Optimization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Simulation-guided Beam Search for Neural Combinatorial Optimization

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:05:23.205256Z digest=sha256:ad5c3277afda62684d7f52ecd2633c735a3449393013bde319622ef15d7f9027

Observation 2dc5f487-2f9b-46c9-abfc-d1e37484a461 · outbound

This paper cites Learning Heuristics for the TSP by Policy Gradient.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Learning Heuristics for the TSP by Policy Gradient

Reference 10

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doi, observed 2026-08-06T05:05:27.181834Z

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source=pdf_text observed=2026-08-06T05:05:23.298183Z digest=sha256:c66b0acbc6a3e0924b005e190e36fb6da811e7db6760f4170d4582033bf8de91

Observation c626c519-dc7f-416c-b58d-7e5a588fa1fb · outbound

This paper cites BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization

Reference 11

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

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Observation b8062873-b87b-4bca-86ae-29ac4a6b4138 · outbound

This paper cites Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems

Reference 12

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source=pdf_text observed=2026-08-06T05:05:23.481216Z digest=sha256:8e3cd13277d7ef1981f2ef36fdfddfdb1e19373892d4f7e6cc44c27eb4b86220

Observation 2672ef13-9fa9-408a-93b8-174730a8b594 · outbound

This paper cites Learning to control local search for combinatorial optimization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Learning to control local search for combinatorial optimization

Reference 13

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

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Observation e9d2286d-ff3d-4b30-b5c3-4f0f5170ec3d · outbound

This paper cites Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

Reference 14

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no resolver link, observed 2026-08-06T05:05:23.605407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:05:23.605407Z digest=sha256:87bd7fa3af8fa90c5da3805190a0aa12819b3652a7dff73471d3176a59d39d9b

Observation 54eafd59-e585-48ea-83ec-c29f061198f6 · outbound

This paper cites Generalization of neural combinatorial solvers through the lens of adversarial robustness.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Generalization of neural combinatorial solvers through the lens of adversarial robustness

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T05:05:30.653701Z

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.

source=pdf_text observed=2026-08-06T05:05:23.694309Z digest=sha256:ba4ceadfa2741fda2329ef6d0d6fbaaed6eb0fe703aac40a969bd06daa9d0f80

Observation 76deb069-8a4b-4da1-92f1-2069f4101f7a · outbound

This paper cites An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems.

On Distributional Dependent Performance of Classical and Neural Routing Solvers An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems

Reference 16

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raw_fallback, observed 2026-08-06T05:05:30.637015Z

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.

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Observation 8055e491-1c68-40ea-841c-b6891736cada · outbound

This paper cites Neural large neighborhood search for the capacitated vehicle routing problem.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Neural large neighborhood search for the capacitated vehicle routing problem

Reference 17

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verified exact
doi, observed 2026-08-06T05:05:27.015435Z

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.

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Observation 3c3ff284-51ac-47cb-90fb-06732731ebc4 · outbound

This paper cites Neural large neighborhood search for routing problems.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Neural large neighborhood search for routing problems

Reference 18

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Unavailable: canonical work link unavailable.

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Observation e8b8ac55-6d65-442c-ad07-35a9cbe3020f · outbound

This paper cites Efficient Active Search for Combinatorial Optimization Problems.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Efficient Active Search for Combinatorial Optimization Problems

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T05:05:30.615761Z

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.

source=pdf_text observed=2026-08-06T05:05:23.988520Z digest=sha256:e2644175eab7c13b8b8031cf11a02382760c87b9c82b27bfd11d9874329763e0

Observation c6a27980-09bb-41d2-b3c2-a9fd06fa89a1 · outbound

This paper cites Efficient active search for combinatorial optimization problems.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Efficient active search for combinatorial optimization problems

Reference 20

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raw_fallback, observed 2026-08-06T05:05:30.597318Z

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.

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Observation ee7fcc2d-9145-4878-9b94-71eb35e9e7d1 · outbound

This paper cites PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization, February 2024.

On Distributional Dependent Performance of Classical and Neural Routing Solvers PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization, February 2024

Reference 21

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raw_fallback, observed 2026-08-06T05:05:30.580040Z

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.

source=pdf_text observed=2026-08-06T05:05:24.182713Z digest=sha256:8dcc0449e2459f503c12e0fd0cce8b333d436be2f1e16ea17e8f2b0423e85708

Observation eb74eebe-508e-49ba-9ec7-a31023630608 · outbound

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

On Distributional Dependent Performance of Classical and Neural Routing Solvers Pointerformer: Deep reinforced multi-pointer transformer for the traveling salesman problem

Reference 22

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no resolver link, observed 2026-08-06T05:05:24.281667Z

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source=pdf_text observed=2026-08-06T05:05:24.281667Z digest=sha256:0d0e26767acee86af46703e9bdb3b0f4a65e15d21f7d880f7776496e8ed40fb0

Observation 5e3870b1-1ed0-4d00-a647-6184e4fd30f1 · outbound

This paper cites Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T05:05:30.544001Z

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

source=pdf_text observed=2026-08-06T05:05:24.394652Z digest=sha256:81b3fea5bee8d466b3bb0248f5cfe8a2ea36c1cae9897ccfd0d9f5bf82b181a3

Observation 3c82dcba-330e-40e3-bf34-416fb76c7e27 · outbound

This paper cites Scale-conditioned adaptation for large scale combinatorial optimization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Scale-conditioned adaptation for large scale combinatorial optimization

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T05:05:30.524100Z

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.

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Observation e1aeaebd-32c4-4c83-b40e-c01f4fe6d23d · outbound

This paper cites Attention, Learn to Solve Routing Problems! In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Attention, Learn to Solve Routing Problems! In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019

Reference 25

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raw_fallback, observed 2026-08-06T05:05:30.501964Z

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

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Observation 425126df-7855-45c7-bc1f-93aea7c6f037 · outbound

This paper cites Deep policy dynamic programming for vehicle routing problems.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Deep policy dynamic programming for vehicle routing problems

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T05:05:30.475007Z

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

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Observation d6f83435-fe2e-4ecb-81d0-0ac80db21b9f · outbound

This paper cites an unresolved cited work.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Unresolved cited work

Reference 27

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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.

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Observation 1c149ef4-6723-46f0-ac90-3d3c3f05edde · outbound

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

On Distributional Dependent Performance of Classical and Neural Routing Solvers POMO: Policy optimization with multiple optima for reinforcement learning

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T05:05:30.434229Z

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

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Observation 807fd679-a235-4cb6-b2d9-5270bb0157a4 · outbound

This paper cites Matrix encoding networks for neural combinatorial optimization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Matrix encoding networks for neural combinatorial optimization

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:30.415872Z

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.

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Observation abeec8db-d5a6-4a7d-8afb-fadf8f25a7eb · outbound

This paper cites Learning to delegate for large-scale vehicle routing.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Learning to delegate for large-scale vehicle routing

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T05:05:30.396544Z

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.

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Observation 3844aef2-4480-42e7-be63-811d3861b8bc · outbound

This paper cites From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T05:05:30.378056Z

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.

source=pdf_text observed=2026-08-06T05:05:24.951119Z digest=sha256:1ed058e0efe464c792e6651dde89c0acb0ff9b4b1a4302444d3e44b71c939816

Observation e041b9c0-73a9-4efe-b96b-ff420479ff93 · outbound

This paper cites Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization

Reference 32

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local_arxiv, observed 2026-08-06T05:05:27.333332Z

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

source=pdf_text observed=2026-08-06T05:05:25.066719Z digest=sha256:c0bc22e1876c87ca95bc76984078fddccf1d501c1c20df0328fb608df7e446f2

Observation 36d17696-0221-40ac-8f8e-c9ec6af2042d · outbound

This paper cites Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Reference 33

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raw_fallback, observed 2026-08-06T05:05:30.088140Z

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.

source=pdf_text observed=2026-08-06T05:05:25.177216Z digest=sha256:1c684ea1b6dd3be0dcfbbe1a2293d787117a91e988be4cb115ab5f2468b30703

Observation f21093ff-0628-48ac-95f1-1c41b290b88f · outbound

This paper cites Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt

Reference 34

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raw_fallback, observed 2026-08-06T05:05:29.861089Z

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.

source=pdf_text observed=2026-08-06T05:05:25.226000Z digest=sha256:3a9c44dc7a5b0912813147045b1cec44a6d72b45c56fbbd47c0caf02a9ade819

Observation 086e0755-2e91-4e92-9b87-cbe2bde3dccd · outbound

This paper cites an unresolved cited work.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:05:29.728195Z

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.

source=pdf_text observed=2026-08-06T05:05:25.299355Z digest=sha256:a366a4568f56da04ba8028513d7442f6517aadde19fba9d6292d8b1306f66b27

Observation 37a4b4ba-6c6d-4f36-90ba-b581bcb3df5d · outbound

This paper cites Reinforce- ment learning for solving the vehicle routing problem.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Reinforce- ment learning for solving the vehicle routing problem

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:29.395940Z

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.

source=pdf_text observed=2026-08-06T05:05:25.360074Z digest=sha256:49c0a77b039e5fa2acec0ae2fba8e3f19cce54ea49ab3bc5210ed504c1bf2f7b

Observation 39b53191-09da-4199-9885-a96d0817a453 · outbound

This paper cites DIFUSCO: Graph-based Diffusion Solvers for Combinato- rial Optimization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers DIFUSCO: Graph-based Diffusion Solvers for Combinato- rial Optimization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:29.241161Z

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.

source=pdf_text observed=2026-08-06T05:05:25.426545Z digest=sha256:9669aa90451e2a4045bbff061771f6dfdb903ed3ffd70e7688b25ee4c0bd177b

Observation 76a92070-64db-4205-8181-56dae63c9f7a · outbound

This paper cites New benchmark instances for the capacitated vehicle routing problem.

On Distributional Dependent Performance of Classical and Neural Routing Solvers New benchmark instances for the capacitated vehicle routing problem

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:29.063300Z

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.

source=pdf_text observed=2026-08-06T05:05:25.494889Z digest=sha256:173b6be6e57f47a21ef7df6a6a522d2c2d27c811c5f00f231fc63ab3fc6085e1

Observation 90bdd152-ccea-4c51-a220-ba4929b99635 · outbound

This paper cites Hybrid genetic search for the cvrp: Open-source implementation and swap* neighborhood.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Hybrid genetic search for the cvrp: Open-source implementation and swap* neighborhood

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T05:05:25.575769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:05:25.575769Z digest=sha256:ca557ee3f2c569310f1cc15265648baeb21e8f69e944a8f0c9a1636bcd4bf772

Observation 770869e7-190e-4662-9d92-1e8eb957e13a · outbound

This paper cites A hybrid genetic algorithm for multidepot and periodic vehicle routing problems.

On Distributional Dependent Performance of Classical and Neural Routing Solvers A hybrid genetic algorithm for multidepot and periodic vehicle routing problems

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:28.921331Z

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.

source=pdf_text observed=2026-08-06T05:05:25.655172Z digest=sha256:c168cd62a3829692d8d7d21022cb8a726e879c133f36d252cc1f90824884173d

Observation 23bba655-d082-4951-b947-3c3ba996f950 · outbound

This paper cites Pointer Networks.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Pointer Networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:28.771377Z

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.

source=pdf_text observed=2026-08-06T05:05:25.743012Z digest=sha256:4824b9b3d6ce76efb6b39c64919b237d93602e4048e1908e4b880c8fab422b00

Observation d6be817e-265f-4419-9d8e-5c80851ad349 · outbound

This paper cites Multi-Decoder Attention Model with Em- bedding Glimpse for Solving Vehicle Routing Problems.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Multi-Decoder Attention Model with Em- bedding Glimpse for Solving Vehicle Routing Problems

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T05:05:25.847199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:05:25.847199Z digest=sha256:d252788236d33ecc863d886d7f13053bda0eae9fdbf7867b5d7b1cbfc23ae735

Observation aa15edb3-10b3-40be-b03f-45365babbab9 · outbound

This paper cites NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem.

On Distributional Dependent Performance of Classical and Neural Routing Solvers NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:28.626323Z

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.

source=pdf_text observed=2026-08-06T05:05:25.941418Z digest=sha256:74fcd03eb7061d5b39ea58c3cc18a7fb256eebe91c7cc5db210e5bcaae28b183

Observation 54dda5f8-eab1-46c6-9343-25d49b52f0d3 · outbound

This paper cites DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization.

On Distributional Dependent Performance of Classical and Neural Routing Solvers DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:28.461951Z

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.

source=pdf_text observed=2026-08-06T05:05:26.028496Z digest=sha256:a07b16e2af6f977734649bc97bd9abf283339f7af59ed0bfa4e38552dad90bb7

Observation f391e17d-00b4-4d66-bfa3-b58f6e727f90 · outbound

This paper cites GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time.

On Distributional Dependent Performance of Classical and Neural Routing Solvers GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T05:05:26.099817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:05:26.099817Z digest=sha256:c9cfcdb27aa3937112a76baf6838d0e410fcecf8d1ca1b937f6db21e1a2403aa

Observation 6e116309-59c9-4bfc-8615-d49178b5de2b · outbound

This paper cites It’s Not What Machines Can Learn, It’s What We Cannot Teach.

On Distributional Dependent Performance of Classical and Neural Routing Solvers It’s Not What Machines Can Learn, It’s What We Cannot Teach

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:28.323563Z

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.

source=pdf_text observed=2026-08-06T05:05:26.189290Z digest=sha256:0d2122a9237ca8b45d704e9c76be72189413cf11b8984383191e900a57a14059

Observation a29e13ca-a3a9-4def-864e-d20b153b06a3 · outbound

This paper cites Learning to solve travelling salesman problem with hardness-adaptive curriculum.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Learning to solve travelling salesman problem with hardness-adaptive curriculum

Reference 47

Resolution
verified exact
doi, observed 2026-08-06T05:05:26.801213Z

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.

source=pdf_text observed=2026-08-06T05:05:26.282987Z digest=sha256:8a2eede0d3d42ea046741da1113c1e9f370de56e8a96127fa1f41a5cdfefab3c

Observation 2b2825f3-b489-45f7-9d94-bebf87c84b0b · outbound

This paper cites UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems, June 2024.

On Distributional Dependent Performance of Classical and Neural Routing Solvers UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems, June 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:28.189162Z

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.

source=pdf_text observed=2026-08-06T05:05:26.393475Z digest=sha256:c6792a88776643c768c02163d4a0635725087591b4fc9b4feee7527430e81ffd

Observation 9004efdc-d485-4bcf-b6ee-17f0a016a36e · outbound

This paper cites Towards omni-generalizable neural methods for vehicle routing problems.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Towards omni-generalizable neural methods for vehicle routing problems

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:05:28.014884Z

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.

source=pdf_text observed=2026-08-06T05:05:26.480459Z digest=sha256:193e9f31061069d1ed88c595ed839e51bfc563ac74900d72f13e1d402e2e45cb

Observation 431be518-ecbc-4e91-9410-c8c5d2ebe0d7 · outbound

This paper cites an unresolved cited work.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:05:27.803570Z

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.

source=pdf_text observed=2026-08-06T05:05:26.549203Z digest=sha256:e149b61992b562d83e8b356e61c1ed9453254fb41d931fa8a9b7385f1bddcfda

Pith citing papers

No inbound Pith citation observations are available.