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Paper Citation Record · LEDGER

Recurrent State Encoders for Efficient Neural Combinatorial Optimization

As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2509.05084.

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

pith.paper-citation-record.v1
2509.05084 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:42:52.720686Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

55 of 55 outbound references displayed

  • verified exact7
  • verified fuzzy31
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cafb97b0-e616-4c44-af34-8decbc32ebbd · outbound

This paper cites Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding

Reference 1

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Observation 10a77ffc-4646-429c-b408-f566e7670408 · outbound

This paper cites an unresolved cited work.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Unresolved cited work

Reference 2

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Observation 475516a6-d429-45cf-9d55-181860d99e0c · outbound

This paper cites an unresolved cited work.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Unresolved cited work

Reference 3

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Observation e4306a27-feed-461d-8ac5-02e3905f2998 · outbound

This paper cites RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark, June 2024.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark, June 2024

Reference 4

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Observation 4ea0d311-3e69-4ebb-b67e-f865b7200e90 · outbound

This paper cites Wouda, Leon Lan, Kevin Tierney, and Jinkyoo Park.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Wouda, Leon Lan, Kevin Tierney, and Jinkyoo Park

Reference 5

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Observation 768dbb1c-1dad-4ebd-9ed4-61f4beb9c189 · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Accelerating Large Language Model Decoding with Speculative Sampling

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c738d972-1b68-4af6-b054-90c5febf6126 · outbound

This paper cites Decision Transformer: Reinforcement Learning via Sequence Modeling.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Decision Transformer: Reinforcement Learning via Sequence Modeling

Reference 7

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2762eeb6-3f2b-4373-b7d4-7b0f4d18a4ee · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Simulation-guided Beam Search for Neural Combinatorial Optimization

Reference 8

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation acee56b8-ea32-4acf-9b81-333c5f0905ae · outbound

This paper cites Applegate, Robert E.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Applegate, Robert E

Reference 9

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Observation becf474e-ce91-4f2e-8ba3-b829f40e0734 · outbound

This paper cites The Road Less Scheduled.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization The Road Less Scheduled

Reference 10

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Observation cb1bd0af-e6f2-4216-bc4d-5237bda02b49 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization 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 2026-08-08T06:32:00.761636+00:00.

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Observation d3c44595-4adc-4a81-a8da-ae38477c86f5 · outbound

This paper cites GOAL: A Generalist Combinato- rial Optimization Agent Learner.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization GOAL: A Generalist Combinato- rial Optimization Agent Learner

Reference 12

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1d643fd6-af5f-477c-b7ee-2292b59103ed · outbound

This paper cites Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention

Reference 13

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Observation 8d1fc078-e815-4b22-9f2a-772c29375a32 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems

Reference 14

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Observation 8f2bc6ba-30c4-4cc1-a6c4-c2052e86f348 · outbound

This paper cites Falkner, Daniela Thyssens, Ahmad Bdeir, and Lars Schmidt-Thieme.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Falkner, Daniela Thyssens, Ahmad Bdeir, and Lars Schmidt-Thieme

Reference 15

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doi, observed 2026-08-05T05:42:52.829876Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d5761692-c006-402d-b0f6-4a8106639056 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

Reference 16

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Source-reported events for the cited work

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Observation c0b5e9a8-a486-4ed9-8689-4b0865fe13c5 · outbound

This paper cites Deep Recurrent Q-Learning for Partially Observable MDPs.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Deep Recurrent Q-Learning for Partially Observable MDPs

Reference 17

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Observation 78635fcf-fb3d-43de-9676-cdf24b3ca29f · outbound

This paper cites Memory-based control with recurrent neural networks.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Memory-based control with recurrent neural networks

Reference 18

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Observation dd02c1a3-82e3-48a9-913f-0827b033dcc5 · outbound

This paper cites Neural large neighborhood search for routing problems.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Neural large neighborhood search for routing problems

Reference 19

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Observation 08ee1e70-dac6-4f52-b128-28ecf1184d9e · outbound

This paper cites Efficient Active Search for Combinatorial Optimization Problems.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Efficient Active Search for Combinatorial Optimization Problems

Reference 20

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Observation 325b89e9-ff72-4252-ae0a-c4dff95093a1 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization

Reference 21

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d4c5d2d1-a2a7-40b8-87ed-d03060fd8389 · outbound

This paper cites Neural Deconstruction Search for Vehicle Routing Problems, January 2025.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Neural Deconstruction Search for Vehicle Routing Problems, January 2025

Reference 22

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Observation b2fe67f0-6e89-4546-bec5-e320fb9797fe · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Pointerformer: Deep reinforced multi-pointer transformer for the traveling salesman problem

Reference 23

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doi, observed 2026-08-05T05:42:53.694200Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c08f337f-87ae-45f5-9791-92e5891e6ff4 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Reference 24

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Observation 65750e66-8dd1-4438-a918-d2637f564020 · outbound

This paper cites Joshi, Quentin Cappart, Louis-Martin Rousseau, and Thomas Laurent.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Joshi, Quentin Cappart, Louis-Martin Rousseau, and Thomas Laurent

Reference 25

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Source-reported events for the cited work

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Observation ca2f06bb-0253-43c9-86b9-3a6ad69f2a75 · outbound

This paper cites Munos, and Will Dabney.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Munos, and Will Dabney

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8fd3b54b-eade-4b42-9521-84d0bfdabff6 · outbound

This paper cites Learning Combinatorial Optimization Algorithms over Graphs.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Learning Combinatorial Optimization Algorithms over Graphs

Reference 27

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Source-reported events for the cited work

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Observation c25132e6-0157-424f-b1e0-f99e6267c1ce · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 38426ceb-415f-4623-80d8-a97c1d831527 · outbound

This paper cites an unresolved cited work.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Unresolved cited work

Reference 29

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verified exact
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Source-reported events for the cited work

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Observation 0e44034c-555f-4a0e-a311-39da29093175 · outbound

This paper cites Attention, Learn to Solve Routing Problems! In7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Attention, Learn to Solve Routing Problems! In7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 02235d87-999a-4ba0-a89e-364f1e5a57db · outbound

This paper cites Matrix Encoding Networks for Neural Combinatorial Optimization.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Matrix Encoding Networks for Neural Combinatorial Optimization

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 31918492-caf9-45f4-a837-9e03c68e4d41 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization POMO: Policy optimization with multiple optima for reinforcement learning

Reference 32

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 49c05138-ae3b-43c0-a293-44e96af79ebb · outbound

This paper cites Fast Inference from Transformers via Spec- ulative Decoding.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Fast Inference from Transformers via Spec- ulative Decoding

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.581393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 12d21f31-856f-4749-991b-f7baec187137 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Learning to delegate for large-scale vehicle routing

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.627614Z digest=sha256:41c41d4e46b9a04f5dafdb75d5bdd4766e07ad948ed432c3577e16a53bde4694

Observation 018a64f5-0de3-4925-8d8d-bc85e0d5bcf5 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.549501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.631438Z digest=sha256:a368b6851544679fdb9e20a026c4ada568b852abaca61300ba7848cde45aa835

Observation 08d2ddd4-3b55-4b8a-8c0b-d8535022507a · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.534721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.636169Z digest=sha256:e854924381f6b9cd2b9fda30f13f466eecf8b9e54baee870d0c5ba957cf13790

Observation 050263bf-20a3-4caa-b9c6-8bab81996460 · outbound

This paper cites Self- Improved Learning for Scalable Neural Combinatorial Optimization, May 2024.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Self- Improved Learning for Scalable Neural Combinatorial Optimization, May 2024

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.519183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.640667Z digest=sha256:25cc7bf59472c6f438797a4996a159349ccd8cc2841f2d37c6cfc1293c1c3be4

Observation a18c8c98-07ef-47fe-90b3-6b061bac544d · outbound

This paper cites Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.504425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.644734Z digest=sha256:0c770201203560aa5b00e074a59509c4b5b8671ae58b4cc6b368303362238c0f

Observation 40afc095-0117-456e-be4c-8b21a934bf35 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.489230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.648740Z digest=sha256:01a5bc5ac965acd26904d8901ed1365fd223c1e98cba9b0fab03494cc69b01ab

Observation 4e783eab-a98c-4aa1-8313-742d24bd14b6 · outbound

This paper cites an unresolved cited work.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:42:53.474772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.652909Z digest=sha256:e4685e4635070a25a03ecd10fc1c531c28d912cfe1c36f6bf568165baea7d7fb

Observation 8254cdf6-f8d9-4180-86a1-e99e872a2308 · outbound

This paper cites Recurrent Reinforcement Learning with Memoroids.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Recurrent Reinforcement Learning with Memoroids

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.459832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.657407Z digest=sha256:a16f39f2abca58440fd2b82b989bc04d0d4eb2590c3cdc881e78c8802fe886bb

Observation 30b139c6-a1a8-4673-a3f8-0dc50c03d5d2 · outbound

This paper cites When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.444684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.661681Z digest=sha256:7056e1debe840e25b433ef84cbefae5b152fdf0f3fd8779b2de3d0bb7a556f1a

Observation 882c3a74-9959-4189-ad99-76af2c7d632d · outbound

This paper cites A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems

Reference 43

Resolution
verified exact
doi, observed 2026-08-05T05:42:52.778418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.666021Z digest=sha256:166b91459c5e50abe17640cc558c1c292f549c8f9306344e446f4b272a199508

Observation 23c6b80c-2965-40b6-95c2-60ad90a0daae · outbound

This paper cites an unresolved cited work.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:42:53.425046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.671489Z digest=sha256:c4157b2d16bf44736100240828494f0f20a55e15e39c7d7b196f40efa1853a41

Observation 921eb84c-03ca-41f4-a258-d455a49030c9 · outbound

This paper cites an unresolved cited work.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:42:53.409985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.675575Z digest=sha256:935249c653f510c6699de804a29be00ab077a86a33822fd437dbe7be6fa9d455

Observation 65cc4a36-ef98-40a8-aa9c-e3c2c7f5884a · outbound

This paper cites Blockwise Parallel Decoding for Deep Autoregressive Models.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Blockwise Parallel Decoding for Deep Autoregressive Models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.395513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.679804Z digest=sha256:67602ebd49726b1c4aa243e8bfa9a67045e89e2c3c35a7cf5a4103a868c45a8d

Observation 482e92e6-4f5e-4aba-8c33-d4920eff03f0 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization DIFUSCO: Graph-based Diffusion Solvers for Combinato- rial Optimization

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.380400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.684033Z digest=sha256:3483a23495e1d4ecaa30afd88c9b5bfa29edd7ed1a63849ac73f7351c539f610

Observation 66c8e9fd-d0a2-4c90-a196-7b998976888c · outbound

This paper cites Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:42:53.140689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.688493Z digest=sha256:f2aeae296a67e07df864d7dbe61966c56113bb269ba0ddae903e7337c08be70f

Observation 6747fdd6-af85-40ad-bf4a-28a1d2c4b896 · outbound

This paper cites A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems.Operations Research, 60(3):611–624, June 2012.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems.Operations Research, 60(3):611–624, June 2012

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T05:42:52.693314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:42:52.693314Z digest=sha256:6cfa92addd377f00efe56a315d5d2c126494884664ebb114ee616bc9443e5e03

Observation e5b4e9b3-c94a-484b-9af5-1dfaf4e48397 · outbound

This paper cites Wouda, Leon Lan, and Wouter Kool.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Wouda, Leon Lan, and Wouter Kool

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T05:42:52.697345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:42:52.697345Z digest=sha256:2f1ec6100c900c918f424286148363d841391043d8b74ca25f45e038c72ee485

Observation 42610e22-5e03-4f35-b505-23b57c8c24d5 · outbound

This paper cites an unresolved cited work.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Unresolved cited work

Reference 51

Resolution
verified exact
doi, observed 2026-08-05T05:42:52.760354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.701822Z digest=sha256:f80d703bc3b7053f02037c7532813692e47cb158a99cc55eb2652cdff2d661c5

Observation 070c5e8e-8945-4ec2-a277-d5803e9bd1b7 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.364275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.706547Z digest=sha256:6fe2175b8dac2a535ed80dffb731dd61bd45469ffe2b7e00d226b9a39f2d1655

Observation 6553939f-91be-416a-8453-ac629a860712 · outbound

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

Recurrent State Encoders for Efficient Neural Combinatorial Optimization GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T05:42:52.711070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:42:52.711070Z digest=sha256:10c032b34652db985fd5c66752cca740c63311e0f314bf62f7e7927260c65595

Observation 11aabfac-1240-4313-8e22-86594e976a1d · outbound

This paper cites Root mean square layer normalization.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Root mean square layer normalization

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.334918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.715549Z digest=sha256:c76e77140b1d99f9dd33d1c6d1015af7453d699d82d3d924d86161c163513e46

Observation f9060785-814c-4509-8c72-c01eb8e61ce5 · outbound

This paper cites For results with varying k, see figure 5.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization For results with varying k, see figure 5

Reference 1000

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:42:53.319470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:42:52.720686Z digest=sha256:31c5b64b92b44f3f44d004a03405c1aa1cc9a6fa84eb0a47362d689c5195f453

Pith citing papers

No inbound Pith citation observations are available.