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Paper Citation Record · LEDGER

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization

As of 17 August 2026, this Paper Citation Record lists 96 of 96 outbound references and 0 inbound Pith citation observations for arXiv:2607.27630.

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

pith.paper-citation-record.v1
2607.27630 v1

Coverage vector

measured 96 of 96 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:26:48.122422Z

measured 96 of 96 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

96 of 96 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c26ec053-bba5-49fb-9930-19469234cbc0 · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

Reference 1

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source=arxiv_source observed=2026-08-01T04:26:42.964252Z digest=sha256:c697e37375b06b714c689e89ac1095240a05ef8c4e484826d047fc0109b2aee5

Observation 2cc776cb-aaf0-4dee-84ef-fb75ea7e2e58 · outbound

This paper cites Classification Problem Solving.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Classification Problem Solving

Reference 2

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source=arxiv_source observed=2026-08-01T04:26:43.035240Z digest=sha256:fc241328a343e3a96acdbc7a95c45a97ce43c9b4f18f54f16f7f7c13e5734361

Observation 8894783b-09d9-41de-b1cb-00592c0af491 · outbound

This paper cites , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization , title =

Reference 3

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source=arxiv_source observed=2026-08-01T04:26:43.098195Z digest=sha256:71e385864d931c7db05d90fed2439684306e950a444d004d4a80274002035403

Observation a06a4d21-db6f-4fe5-a1ba-f3418d7875dd · outbound

This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization New Ways to Make Microcircuits Smaller---Duplicate Entry

Reference 4

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source=arxiv_source observed=2026-08-01T04:26:43.160953Z digest=sha256:754f3164d9c26afa16999c798514d382c6502bdf89a61c718738f384536be29d

Observation db45f1dc-367c-4394-8a29-aa4241ce61d4 · outbound

This paper cites Clancey and Glenn Rennels , abstract =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Clancey and Glenn Rennels , abstract =

Reference 5

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source=arxiv_source observed=2026-08-01T04:26:43.243392Z digest=sha256:b71c7db4f20202007c463555b6b5465bc195492ec7345ebec43d157b9bd5610b

Observation a7aa0067-7b64-4257-b6d6-ec5fa174cd9c · outbound

This paper cites and Rennels, Glenn R.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Rennels, Glenn R

Reference 6

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no resolver link, observed 2026-08-01T04:26:43.315387Z

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source=arxiv_source observed=2026-08-01T04:26:43.315387Z digest=sha256:be13382cc41346452f4dbd430ec9264f6126991cac2db12fa13ee5c5c3eae9b1

Observation 28b7e7af-7f92-4549-9f72-86f4c36a1aec · outbound

This paper cites Poligon: A System for Parallel Problem Solving.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Poligon: A System for Parallel Problem Solving

Reference 7

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source=arxiv_source observed=2026-08-01T04:26:43.388293Z digest=sha256:06f460a94cfb0d674c92f19c7f5ee7a5142405bbdfe437394ca10b711c6e3404

Observation b79df82b-0fa0-4cdc-8ae0-33e9ea9d3fb8 · outbound

This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 8

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source=arxiv_source observed=2026-08-01T04:26:43.439353Z digest=sha256:37d4ec640e80f04469ecc9520a7c455a0c03a2547003042e9e000760ef712ae7

Observation 0d88b2e5-2319-4acf-ae13-592a575bc6df · outbound

This paper cites The Engineering of Qualitative Models.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization The Engineering of Qualitative Models

Reference 9

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source=arxiv_source observed=2026-08-01T04:26:43.521699Z digest=sha256:87acdbb1c353cf1d68590258cbb43d091b33eeba9023131fa811dd2704534c1c

Observation ea51bae6-4829-44a0-9733-938870086f63 · outbound

This paper cites 2023 , eprint=.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization 2023 , eprint=

Reference 10

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source=arxiv_source observed=2026-08-01T04:26:43.583669Z digest=sha256:e53cd93398371a8e739a059add907474764ce7ad90fa020bf48a2035d645ec8b

Observation f6e77959-14a7-4933-a153-70c111473d19 · outbound

This paper cites Pluto: The 'Other' Red Planet.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Pluto: The 'Other' Red Planet

Reference 11

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source=arxiv_source observed=2026-08-01T04:26:43.665432Z digest=sha256:d6a3f2cd12d1b3221f73da5fbd9b849a547751b8eaf74d17f69d64f970e1e098

Observation d5baa924-c278-4b79-800e-614d27242fdd · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning , series =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Proceedings of the 35th International Conference on Machine Learning , series =

Reference 12

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source=arxiv_source observed=2026-08-01T04:26:43.719133Z digest=sha256:523651a0867ae8e0320e9edae37c40c461ce7480089a231361532a9c96229c04

Observation 552b5824-8fbe-40d5-b3d4-2c1dd3bbce60 · outbound

This paper cites Pawan and Dupont, Emilien and Ruiz, Francisco J.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Pawan and Dupont, Emilien and Ruiz, Francisco J

Reference 13

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source=arxiv_source observed=2026-08-01T04:26:43.856786Z digest=sha256:a869a5484205d9e146196873739dc1456dce29120cfa94a49677767e6d6c7903

Observation 485f118e-a595-4813-b37d-5b6e461cdd85 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , series =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Proceedings of the 41st International Conference on Machine Learning , series =

Reference 14

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source=arxiv_source observed=2026-08-01T04:26:43.952253Z digest=sha256:049aa09333c347bef571616569f4e45ac13a368419e21af1481237d62329da4b

Observation 1e658e9a-7a5a-456f-ae60-46cd0b8cf42f · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Advances in Neural Information Processing Systems , volume =

Reference 15

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source=arxiv_source observed=2026-08-01T04:26:44.051735Z digest=sha256:cb9491e78b298abbfa27e150ba342c14eb0a8ad902f682f12c93d964e0bd6758

Observation b1f6a41a-3006-4f8d-9757-2c9361418a5a · outbound

This paper cites International Conference on Learning Representations , year =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization International Conference on Learning Representations , year =

Reference 16

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source=arxiv_source observed=2026-08-01T04:26:44.192539Z digest=sha256:a1a9a1ad88070ac4cccb079fc705ac835f88bae5d9164e1774eefd1f78568b68

Observation 801231a3-95d6-4a37-ae2d-d10b10bbd801 · outbound

This paper cites and Schonlau, Matthias and Welch, William J.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Schonlau, Matthias and Welch, William J

Reference 17

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source=arxiv_source observed=2026-08-01T04:26:44.312493Z digest=sha256:d1ec18d46130a569cd7d76d29ef09d10205412e11723a9439d28506cc2263679

Observation 69fe3720-4e86-40e8-ae1e-254ecaa76a51 · outbound

This paper cites International Conference on Machine Learning , pages=.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization International Conference on Machine Learning , pages=

Reference 18

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source=arxiv_source observed=2026-08-01T04:26:44.409481Z digest=sha256:82eddf9a78e1672f80d6d2431986d43c8886389330c0957796052fa1c6eb547e

Observation 5ffa1473-6d7a-4cc8-bf0f-8c98f075bcd2 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 19

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source=arxiv_source observed=2026-08-01T04:26:44.532316Z digest=sha256:1331f7a7df3c5773c65d7bc762bdd8707ac2a75f67cdaccb4b70d43e8b9f6d60

Observation 4e39f792-ce5f-489b-9b96-8b52d976455c · outbound

This paper cites International conference on machine learning , pages=.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization International conference on machine learning , pages=

Reference 20

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source=arxiv_source observed=2026-08-01T04:26:44.627299Z digest=sha256:4635c45ce97d31de134de26dcdf94f1c4d4af9f9ca023f1848fb77369f8bef1d

Observation c0c0f974-aeb3-4feb-930d-7b94e22ff299 · outbound

This paper cites Nature , volume=.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Nature , volume=

Reference 21

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source=arxiv_source observed=2026-08-01T04:26:44.758372Z digest=sha256:be2daacb8cfdcf4207be1471e95ad739048a65fb2e313799cbe54d35b286fab2

Observation 1b9f8ff9-e062-4d0e-84b7-36b7f3841db5 · outbound

This paper cites Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Reference 22

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source=arxiv_source observed=2026-08-01T04:26:44.845361Z digest=sha256:7e2d213680969b8067a983578fe7363285792bfe4b3bc4e49727af80eff24983

Observation 7ddc24b9-f8c7-434b-aa79-8f78eba82f0c · outbound

This paper cites Advances in neural information processing systems , volume=.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Advances in neural information processing systems , volume=

Reference 23

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source=arxiv_source observed=2026-08-01T04:26:44.938224Z digest=sha256:057e5a8739c8bae1b71ca9b1b52c2958718cf99aa692ffc4ff9e6a7e79164c5a

Observation 93f0207e-09eb-4896-a04a-db3b38faf17e · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 24

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source=arxiv_source observed=2026-08-01T04:26:45.058256Z digest=sha256:ba0779c5b1f5ce48d1fc82301eb50b10db96c061bbd06c4ff705d57d11d0bb6c

Observation 90d54bba-beed-4575-85b2-b61220076eee · outbound

This paper cites Proceedings of the 42nd International Conference on Machine Learning , series =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Proceedings of the 42nd International Conference on Machine Learning , series =

Reference 25

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source=arxiv_source observed=2026-08-01T04:26:45.180103Z digest=sha256:0584d70701ac6742f2212579b5aa75b333921f021c4014e9ad3d7f52c3862a16

Observation 42244d74-4e87-4060-bcda-315903804f52 · outbound

This paper cites International Conference on Learning Representations , year =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization International Conference on Learning Representations , year =

Reference 26

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source=arxiv_source observed=2026-08-01T04:26:45.229365Z digest=sha256:e58d58c5459e79e646c9a2f0b872d803cb8c4fdf7144392aa63e0aa776a6186c

Observation 9c4ed820-a561-4e8f-89bd-21c8924466be · outbound

This paper cites an unresolved cited work.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-01T04:26:45.311090Z digest=sha256:c9da37bcc382e3be9417055d136f5cb58ffb26aeef305f725c00cabceb16a694

Observation 1f4222fb-a17f-4106-8289-747f44ee2608 · outbound

This paper cites Transportation Science , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Transportation Science , volume =

Reference 28

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source=arxiv_source observed=2026-08-01T04:26:45.405102Z digest=sha256:652dd0faa5627b63dc7be56e34a55f8e7301e83ebeb37b93a7ecf0bedbc8c9c5

Observation 0ce7d8d2-cde1-464d-9500-5108e1ccdb39 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 29

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source=arxiv_source observed=2026-08-01T04:26:45.470464Z digest=sha256:8bdecd2b1997dbabfbd48f4d7e4dd92b8a17699ec7b9fcb7bed49b557a034bd5

Observation a01f1f89-71cb-4fb7-b834-c85c2a3de6c4 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 30

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source=arxiv_source observed=2026-08-01T04:26:45.567111Z digest=sha256:37039bb6e9bddfc62dbf413fa71336a4c24ef2fc7681f9d4e1b89a7cc8e89e02

Observation d831f2d4-752d-41d0-b9e8-3a5a01efe27b · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 31

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source=arxiv_source observed=2026-08-01T04:26:45.636263Z digest=sha256:a196f9c293593b245755a7195d3fedfe352c8928cc29dc0d447fd9d663f62192

Observation bcc1639d-c3d4-4e88-bcaf-801b3c05ef36 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Evaluating Large Language Models Trained on Code

Reference 32

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source=arxiv_source observed=2026-08-01T04:26:45.711961Z digest=sha256:d5527bd6fa708897266e2414bd213fff502c44cdb2d1f7d9b2d3c34b284088fa

Observation f47ad2ee-7669-47d2-b0bd-bfd58619eef9 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 33

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source=arxiv_source observed=2026-08-01T04:26:45.772404Z digest=sha256:2eee01c4f8a8cfe0ed207e218b0d1a6d7847d309f0245e8785264bde5b4fc2ec

Observation c96026dd-b3fe-46b2-bb8d-0b706dee1e2c · outbound

This paper cites Competition-Level Code Generation with.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Competition-Level Code Generation with

Reference 34

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source=arxiv_source observed=2026-08-01T04:26:45.826198Z digest=sha256:68d3bd9f0a2c4ce497976663cf68a14bfa01296c93a42e22b16c955d1bc7cf7f

Observation f8bdd643-8b99-4c79-9ee7-1183553d2484 · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization InCoder: A Generative Model for Code Infilling and Synthesis

Reference 35

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source=arxiv_source observed=2026-08-01T04:26:45.938820Z digest=sha256:d0b5c60ef4ef15fb091ec84421ab5037b86ed2c1778554a872e6b57db9ee529b

Observation 9de632b6-1de5-40a0-b38f-dec2dad4c622 · outbound

This paper cites StarCoder: may the source be with you!.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization StarCoder: may the source be with you!

Reference 36

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source=arxiv_source observed=2026-08-01T04:26:46.019712Z digest=sha256:d4e82afbd694a7a8c0031f6de2c10a4a0d65454390b12a4bba1ff71575384395

Observation 0f01ad18-b08a-4782-b0ee-d3d33f0de475 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Code Llama: Open Foundation Models for Code

Reference 37

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source=arxiv_source observed=2026-08-01T04:26:46.101898Z digest=sha256:cfb59821f93de35dc2f9dc8f4c124236f7675c69a13bb9c7a60df99ffaf5e217

Observation dd7a6cf1-fac4-4c1b-bddc-a731cca9c86d · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 38

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no resolver link, observed 2026-08-01T04:26:46.183620Z

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source=arxiv_source observed=2026-08-01T04:26:46.183620Z digest=sha256:c17bdc4c5b4a557cf3fcbea8c3f81b239b73ee3917d659a804094bdfeb33d95b

Observation fdf64f99-2cca-43a3-8041-6de11b2f77a1 · outbound

This paper cites Program Synthesis with Large Language Models.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Program Synthesis with Large Language Models

Reference 39

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source=arxiv_source observed=2026-08-01T04:26:46.238912Z digest=sha256:9e36b2cacfd1489bf19bcf2a4bbb7a90f0f01fa0fd8b8af2af463d978995f1fc

Observation 51ed4fe6-81ca-4be8-aa9b-03e5e0c9f411 · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Measuring Coding Challenge Competence With APPS

Reference 40

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source=arxiv_source observed=2026-08-01T04:26:46.313348Z digest=sha256:999158a3656a37c15c66580308959074d8d1ae753a26eb8bbc3d9462704698e2

Observation 199f1d7c-8401-4a15-88c9-ef66789762df · outbound

This paper cites MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Reference 41

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source=arxiv_source observed=2026-08-01T04:26:46.342292Z digest=sha256:717732116dda62ad32281adce0ac7084140fb4960457015a637f3ef4e74d6438

Observation b15c0bcc-eacc-49eb-985f-cc666a618cd4 · outbound

This paper cites RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

Reference 42

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source=arxiv_source observed=2026-08-01T04:26:46.486918Z digest=sha256:3824134b119d9c224c01c7be3d700ee7e818c0d5b2d4e1a137ea8eca46cdc192

Observation 377b560a-3870-4bc8-a444-df9efeb21f61 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 43

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source=arxiv_source observed=2026-08-01T04:26:46.603197Z digest=sha256:b22b93efc66706f87030a265c78319a516260f82e60d227fb3413930b4497717

Observation a42daed2-a180-49be-8c99-31ff0c08bd44 · outbound

This paper cites CodeT: Code Generation with Generated Tests.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization CodeT: Code Generation with Generated Tests

Reference 44

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source=arxiv_source observed=2026-08-01T04:26:46.744316Z digest=sha256:a4f402ae1e1d12583b65bd926808fb2874db109a9ab218db28ac66b3e2d0db54

Observation 42e7cb4b-1348-4637-920f-96110a108d9a · outbound

This paper cites LEVER: Learning to Verify Language-to-Code Generation with Execution.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 45

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source=arxiv_source observed=2026-08-01T04:26:46.906341Z digest=sha256:502a75949dd772252abfb6f344bf6ccaf50dff5d35a3cdc07dfd3961e140e6e8

Observation 5eaafc5e-1419-4d6c-96fa-1a79470169ef · outbound

This paper cites Teaching Large Language Models to Self-Debug , journal =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Teaching Large Language Models to Self-Debug , journal =

Reference 46

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source=arxiv_source observed=2026-08-01T04:26:47.062596Z digest=sha256:ab6da3efa77810052f847c1b21e361f2a27d559562269eab5f00871fcaafee84

Observation 5b5141cd-c183-4f98-8cac-93da73bf0b0a · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 47

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no resolver link, observed 2026-08-01T04:26:47.195204Z

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source=arxiv_source observed=2026-08-01T04:26:47.195204Z digest=sha256:9c3de8900a9fec8510de8ab185f3a251309b5532368eb8e57ff248718d481312

Observation c8fc6614-e32f-4428-85f0-adade20ddb62 · outbound

This paper cites Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering

Reference 48

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source=arxiv_source observed=2026-08-01T04:26:47.272122Z digest=sha256:6a6a058b8d5763fa060d02fbc8caa4dffd5d4ff69a59fa72ffc3e42327a3ff79

Observation 99f167b7-c73c-452c-8052-4407496a705f · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 49

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source=arxiv_source observed=2026-08-01T04:26:47.344621Z digest=sha256:78831c841d2a986753091af1fe6f500920a7acc9407b0e6010f3e146d49c3005

Observation 8181f587-d75e-43fb-8290-8816d31433b5 · outbound

This paper cites AutoCodeRover: Autonomous Program Improvement.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization AutoCodeRover: Autonomous Program Improvement

Reference 50

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source=arxiv_source observed=2026-08-01T04:26:47.466869Z digest=sha256:00a1f48e23c4b50d8e247245e53a9e34f9ef79008be326a68eeba0c53e979fad

Observation 849afc97-c2b1-4587-b0d2-51923bb26afc · outbound

This paper cites and Gendreau, Michel and Hyde, Matthew and Kendall, Graham and Ochoa, Gabriela and.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Gendreau, Michel and Hyde, Matthew and Kendall, Graham and Ochoa, Gabriela and

Reference 51

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source=arxiv_source observed=2026-08-01T04:26:47.623055Z digest=sha256:c3af7db11a14a39ea926b1ee737b4ec50c214f5ab1b7a59ae702fd1f9f8f5f3d

Observation 5ca8bc6a-7e37-45cb-92ed-a20b3d41dd04 · outbound

This paper cites Automated Design of Metaheuristic Algorithms: A Survey.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Automated Design of Metaheuristic Algorithms: A Survey

Reference 52

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no resolver link, observed 2026-08-01T04:26:47.800783Z

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source=arxiv_source observed=2026-08-01T04:26:47.800783Z digest=sha256:fe8e7b38f586ef45cf4cfad3f36858234eb6c19f5cf0d64bdeb138b360f855e1

Observation cc4cb653-8d5b-498d-a61d-36d05469a538 · outbound

This paper cites and Leyton-Brown, Kevin and St.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Leyton-Brown, Kevin and St

Reference 53

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source=arxiv_source observed=2026-08-01T04:26:47.961671Z digest=sha256:5c5d7fe33afffb02259d3daad6ffd87fb2add9466b38a27d5ddd5d4247f45109

Observation b28421eb-d3aa-4c58-a753-f5620d85b064 · outbound

This paper cites and Leyton-Brown, Kevin , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Leyton-Brown, Kevin , title =

Reference 54

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no resolver link, observed 2026-08-01T04:26:47.965776Z

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source=arxiv_source observed=2026-08-01T04:26:47.965776Z digest=sha256:6710ea5b736b92f26f034e76e44d629d59584ef49ef9944f32972257cbd17376

Observation eaf68c8c-53e5-4c41-8fa0-c6c087353046 · outbound

This paper cites an unresolved cited work.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-08-01T04:26:47.969485Z digest=sha256:461bba17bfb38669fa3df34f853e2f5b2fb244ed67b5fa595ef560bae1599c81

Observation 28f01e45-f62f-4d25-90ea-f0096b9ffdfa · outbound

This paper cites LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics

Reference 56

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no resolver link, observed 2026-08-01T04:26:47.973338Z

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source=arxiv_source observed=2026-08-01T04:26:47.973338Z digest=sha256:5fc465e12dc0b96b5411c2dcb6ad179c531ac379b18d0e84d1fba68437dcad96

Observation 905c11a4-fbd1-4880-80e5-ff51c15a7c78 · outbound

This paper cites HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs

Reference 57

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source=arxiv_source observed=2026-08-01T04:26:47.977604Z digest=sha256:76fdd19ba0efd53175aebc89a205c3a62ca9a93ab1f541e8846267d5eb734cf2

Observation 4be5b4ce-c2b6-453a-8b80-a51ef0825d4c · outbound

This paper cites Back to the Beginning of Heuristic Design: Bridging Code and Knowledge with LLMs.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Back to the Beginning of Heuristic Design: Bridging Code and Knowledge with LLMs

Reference 58

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source=arxiv_source observed=2026-08-01T04:26:47.981766Z digest=sha256:895337c570c0117ba36ce9974919a8ea99a88c7c371c0694f5a28632d6625d84

Observation c7817a0f-2aad-450e-bdb9-f9cda8ad247f · outbound

This paper cites and de Freitas, Nando , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and de Freitas, Nando , title =

Reference 59

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source=arxiv_source observed=2026-08-01T04:26:47.985961Z digest=sha256:10fb50228cce935f07038f53792a5b177c520992779c75e2c374ac5eccfa6009

Observation f599255c-3a51-4702-86a4-0e408334523e · outbound

This paper cites and Gavves, Efstratios and Welling, Max , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Gavves, Efstratios and Welling, Max , title =

Reference 60

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source=arxiv_source observed=2026-08-01T04:26:47.989841Z digest=sha256:9ef0ccff34d6655efc362b9daca943bcade2cd701a3a910b85b59b3aaffbb479

Observation 2f691799-b3d5-4a05-b491-467c4b4c1ae1 · outbound

This paper cites and Nguyen, Vu and Osborne, Michael A.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Nguyen, Vu and Osborne, Michael A

Reference 61

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source=arxiv_source observed=2026-08-01T04:26:47.993352Z digest=sha256:6b1375c98bcec29b96ccdd36242d1f1d6d0630b3be719d46fa7ea32d1bc323bb

Observation 6f9613df-91d1-4dc1-a019-8258076ea61d · outbound

This paper cites Evolutionary Computation: Comments on the History and Current State , journal =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Evolutionary Computation: Comments on the History and Current State , journal =

Reference 62

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source=arxiv_source observed=2026-08-01T04:26:47.996888Z digest=sha256:c8cbea75bc3fa2e526319206c54ab3b93d9a289fd203dd948acf41b2c1ac40ae

Observation cac1dd38-0537-4610-b8c1-0641861fb888 · outbound

This paper cites IEEE Transactions on Evolutionary Computation , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization IEEE Transactions on Evolutionary Computation , volume =

Reference 63

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source=arxiv_source observed=2026-08-01T04:26:48.000370Z digest=sha256:8089622c0c42beecb7b5693907f64c31c8f1bdf874a7aa5374c9eea3b48f1abc

Observation bb309af2-f144-4e13-b832-ad7621e22251 · outbound

This paper cites Journal of Global Optimization , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Journal of Global Optimization , volume =

Reference 64

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source=arxiv_source observed=2026-08-01T04:26:48.003967Z digest=sha256:fe9427c598ff2deb6f111346fe0f5339a36ab062df32b1df45670be00fc48cc6

Observation 0a80ea4d-479a-4376-a5b2-0120a5ad0fea · outbound

This paper cites From Recombination of Genes to the Estimation of Distributions I.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization From Recombination of Genes to the Estimation of Distributions I

Reference 65

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source=arxiv_source observed=2026-08-01T04:26:48.007664Z digest=sha256:ca12cfa49f0ff2261c185fdb6369c96d665c0f1aa09c1d4d281ceeb66dd13872

Observation 75b962a7-4849-45b5-afa3-e5433b191b78 · outbound

This paper cites , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization , title =

Reference 66

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source=arxiv_source observed=2026-08-01T04:26:48.011139Z digest=sha256:46ac42c17ff81b7eca715db0c1449c3b619b5a048d61c752578b2dfa5b9da64a

Observation c11b5067-ea75-4c88-bf72-9f9afe0d8039 · outbound

This paper cites Principles and Practice of Constraint Programming---CP98 , series =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Principles and Practice of Constraint Programming---CP98 , series =

Reference 67

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source=arxiv_source observed=2026-08-01T04:26:48.014631Z digest=sha256:eb2f8c0b301a83e0480986ebd42e842b66856c9cde8fcb28a27f0f0ca2e7eb2d

Observation 5768d965-1512-4a3f-988a-93ba2a42247a · outbound

This paper cites and Harada, Daishi and Russell, Stuart J.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Harada, Daishi and Russell, Stuart J

Reference 68

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source=arxiv_source observed=2026-08-01T04:26:48.018037Z digest=sha256:d49369a9e1870294d82a718970d2b587726b4693a3a74a7c4c0eef7e5e911e66

Observation ed51b1ab-1c32-4b23-acc1-ea54ef9e3fba · outbound

This paper cites and Russell, Stuart J.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Russell, Stuart J

Reference 69

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source=arxiv_source observed=2026-08-01T04:26:48.021444Z digest=sha256:42a9dacac4c9b62f9fb06fc15daeaa9079fa8b67b13f9f12ac0e411388930bdf

Observation a6855bb5-42f6-46d7-957f-ce7b5801385a · outbound

This paper cites and Maas, Andrew L.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Maas, Andrew L

Reference 70

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source=arxiv_source observed=2026-08-01T04:26:48.024908Z digest=sha256:77bf0a0828cc81e92241bb1559eb54eaa191b0d173a4c322e7480b5f61de6908

Observation b06b4d8c-0871-4356-9f2a-f87ee36869ee · outbound

This paper cites and Leike, Jan and Brown, Tom B.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Leike, Jan and Brown, Tom B

Reference 71

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source=arxiv_source observed=2026-08-01T04:26:48.028300Z digest=sha256:7f3939429048347c4e5e05d7e5a879345b5a9de4a6fdd184c4d186ab87ccb042

Observation a8a879c8-c956-4e54-b83b-eab7c0981a8a · outbound

This paper cites and Mishkin, Pamela and Zhang, Chong and Agarwal, Sandhini and Slama, Katarina and Ray, Alex and others , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Mishkin, Pamela and Zhang, Chong and Agarwal, Sandhini and Slama, Katarina and Ray, Alex and others , title =

Reference 72

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source=arxiv_source observed=2026-08-01T04:26:48.031774Z digest=sha256:85ccebe7b2176f1cce0bba85317407ebe251efda72c84cbf228df813fae18da5

Observation 2b449334-ca36-406f-a304-09799fc6f616 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Constitutional AI: Harmlessness from AI Feedback

Reference 73

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source=arxiv_source observed=2026-08-01T04:26:48.035736Z digest=sha256:ee9a0ce2c1e3ae6e660eb3a589d5f789a41d267712b61f9a64f4a6daa48e434b

Observation 24cb3c42-c0b2-4dbd-8584-3a00067793f9 · outbound

This paper cites and Darrell, Trevor , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Darrell, Trevor , title =

Reference 74

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source=arxiv_source observed=2026-08-01T04:26:48.039714Z digest=sha256:45d44dce1f31167027b5eec3b6a4badb3c47c66c59c06853ef545c9ac97de77b

Observation df46f94b-3163-41cd-a93a-7300a720483b · outbound

This paper cites and Schaul, Tom and Leibo, Joel Z.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Schaul, Tom and Leibo, Joel Z

Reference 75

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source=arxiv_source observed=2026-08-01T04:26:48.043272Z digest=sha256:924524446feae14021519119c82e7a8f34ed7e20435fa6cc8522e50092c7ffee

Observation 3fd1ee1e-0983-4649-bdf7-8023e4d55727 · outbound

This paper cites International Conference on Learning Representations , year =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization International Conference on Learning Representations , year =

Reference 76

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source=arxiv_source observed=2026-08-01T04:26:48.046960Z digest=sha256:0695367a4c4d0016ccfb541a4d1d398fa5d0e5da52e3ea31df157b08634d6eaf

Observation 1b0eacc6-1431-4477-a3bf-29a8a7e5ae0d · outbound

This paper cites Robotics: Science and Systems , year =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Robotics: Science and Systems , year =

Reference 77

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source=arxiv_source observed=2026-08-01T04:26:48.050665Z digest=sha256:f67babf146d0a6a0d173655d1b4fb333e077a0e38f30a582f93bfaf846df0671

Observation eae38179-37af-4693-a388-19cb86d14459 · outbound

This paper cites International Conference on Learning Representations , year =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization International Conference on Learning Representations , year =

Reference 78

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source=arxiv_source observed=2026-08-01T04:26:48.054425Z digest=sha256:d994e42723bd28ae06867b815f4adf02a6f6290726371bbede7291916ceb5642

Observation d9781b74-0e76-4239-850f-40f3e2f8334c · outbound

This paper cites and D'Oro, Pierluca , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and D'Oro, Pierluca , title =

Reference 79

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source=arxiv_source observed=2026-08-01T04:26:48.058137Z digest=sha256:a3cf227c370edfdb1d5c5893644d8b6ecab64972b35e06656968d68c8c5d7250

Observation 0a3c317d-8483-480f-a2c8-1f7e77f61bc2 · outbound

This paper cites and Coleman, Russell and Srinivasan, Ravi and Niekum, Scott , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Coleman, Russell and Srinivasan, Ravi and Niekum, Scott , title =

Reference 80

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source=arxiv_source observed=2026-08-01T04:26:48.061738Z digest=sha256:9cc8e035da58b9a8b9904360a3e5cc0d6c39964e9c4679db890fd0b113f49fe4

Observation e8b8284f-3294-40ac-a056-86658fb23270 · outbound

This paper cites Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble

Reference 81

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source=arxiv_source observed=2026-08-01T04:26:48.065573Z digest=sha256:5c4d5f6d992193f90a7eed6ce3c1a87b29240e8f4f6fe7a065dcc09061b66491

Observation e138f6bb-b30e-44c7-8b05-d0ea6233ccb2 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , series =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Proceedings of the 40th International Conference on Machine Learning , series =

Reference 82

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source=arxiv_source observed=2026-08-01T04:26:48.069586Z digest=sha256:2e62968f10b9bf2abcb9f063fb859df6c1926ed99542e58270cb6e2c5b37ceb8

Observation 81a01eeb-f841-41ee-8878-b8244ae62e94 · outbound

This paper cites , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization , title =

Reference 83

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source=arxiv_source observed=2026-08-01T04:26:48.073229Z digest=sha256:402e24706e75079821baaab3387185b81d7350e2d975ab9d29d8214873d62a70

Observation 12808852-2553-465b-97ad-15137d7063f1 · outbound

This paper cites Operations Research , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Operations Research , volume =

Reference 84

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source=arxiv_source observed=2026-08-01T04:26:48.076895Z digest=sha256:21610f9a3b5d96cf130f3922246f9227746e16bedb35031860fb3fa6ccbc56f8

Observation c67c7844-b638-4388-a351-da6ae6780e2c · outbound

This paper cites Operations Research , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Operations Research , volume =

Reference 85

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source=arxiv_source observed=2026-08-01T04:26:48.080978Z digest=sha256:94ff6c2c2804da7d369eae10eb8a6c30e85cd3aed1ab153ad0cfe28be12fe284

Observation aa30ff6c-a59e-4938-9c65-6269bad0abbd · outbound

This paper cites A Lexicographic Minimax Approach to the Vehicle Routing Problem with Route Balancing , journal =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization A Lexicographic Minimax Approach to the Vehicle Routing Problem with Route Balancing , journal =

Reference 86

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source=arxiv_source observed=2026-08-01T04:26:48.084767Z digest=sha256:226aa9b3a57b8f65f120d09fbebb5c5042fce72f727e8c342598332377061307

Observation 95ac7fdb-e3d1-4994-89ca-64d6007f8912 · outbound

This paper cites Computers & Operations Research , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Computers & Operations Research , volume =

Reference 87

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source=arxiv_source observed=2026-08-01T04:26:48.088551Z digest=sha256:ddc56eab69b9088180d83a8de0aa00f9c7e720737dfcb22813e79757a8c3eaca

Observation 01045164-f32a-4761-8d14-7cf6f4e4c5bf · outbound

This paper cites and Williamson, David P.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Williamson, David P

Reference 88

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source=arxiv_source observed=2026-08-01T04:26:48.092204Z digest=sha256:977f07730a3228190e74bdd4d574d7909e076c1139518b04edf918cf2d9a1f24

Observation 036addb0-aed4-4e81-a26f-4c2d22faa04d · outbound

This paper cites SIAM Journal on Computing , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization SIAM Journal on Computing , volume =

Reference 89

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source=arxiv_source observed=2026-08-01T04:26:48.096320Z digest=sha256:845f856f1857d43be781947b8fcd20de36b74d24e47e562e7b343cb91cd1ba64

Observation 4c818bad-3e8c-441f-8fa9-ccf4a540cd2a · outbound

This paper cites and Simeone, Bruno , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Simeone, Bruno , title =

Reference 90

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source=arxiv_source observed=2026-08-01T04:26:48.100130Z digest=sha256:9a45d9727c11a2acb7bb815ae81e07658876f54412c7e88a9dee0d8c2800833b

Observation a0a2d138-fc35-4c3a-8d0e-f072cacea052 · outbound

This paper cites Information Processing Letters , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Information Processing Letters , volume =

Reference 91

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source=arxiv_source observed=2026-08-01T04:26:48.103918Z digest=sha256:9bd5c059efd8472904f93c9501d0a45b3f4654ebec49c9eaf1c2be3f5691e9b0

Observation dd93d8ef-e163-4607-9f5e-18bb1528da4d · outbound

This paper cites and Beckmann, Martin , title =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization and Beckmann, Martin , title =

Reference 92

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source=arxiv_source observed=2026-08-01T04:26:48.107446Z digest=sha256:811784a91dd90174c6a8368e3e4a2683ca1e2cd0cceaff0ca4efe4fe93e46114

Observation 7df50c1e-86f9-4819-8c9c-06d71c75e0ce · outbound

This paper cites A Cutting Plane Algorithm for the Linear Ordering Problem , journal =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization A Cutting Plane Algorithm for the Linear Ordering Problem , journal =

Reference 93

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source=arxiv_source observed=2026-08-01T04:26:48.111220Z digest=sha256:77350903d9a3eb8b63abaae031bfa20ab8738494eb372183873e785af2038ff9

Observation 0cb2f401-cd62-46fe-a73a-75e20f4780e7 · outbound

This paper cites Proceedings of the 2nd ACM Conference on Electronic Commerce , pages =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Proceedings of the 2nd ACM Conference on Electronic Commerce , pages =

Reference 94

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source=arxiv_source observed=2026-08-01T04:26:48.114870Z digest=sha256:cff42cf385b17f5717c20565668ab36ac512d99e0f20b1c1c6475cb27222781c

Observation 8a12f83e-99d9-44a2-9c75-a24e46f1b92e · outbound

This paper cites Maximizing the Spread of Influence through a Social Network , booktitle =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Maximizing the Spread of Influence through a Social Network , booktitle =

Reference 95

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source=arxiv_source observed=2026-08-01T04:26:48.118483Z digest=sha256:63a96aad0eac87cba59f44ea4faef73877a2a01fe130a0586676bb4c83c98454

Observation 7f0164fd-c3c4-4fc8-8865-f5951c5a8c0d · outbound

This paper cites Mathematics of Operations Research , volume =.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization Mathematics of Operations Research , volume =

Reference 96

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source=arxiv_source observed=2026-08-01T04:26:48.122422Z digest=sha256:19026657fe6730bd938c0609e8996b85424183c15910e16a2d00d5caab67b70c

Pith citing papers

No inbound Pith citation observations are available.