Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T06:44:16.198117Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.11146.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T06:44:16.198117Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation baa8acb5-a215-4027-83be-d899059ce121 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Conditional
Reference 1
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Observation 615929d5-0cec-4980-b0c5-230176cc0969 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Biometrika , volume =
Reference 2
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Observation 347bc1f7-fd9d-40d1-a060-253ffa5acd19 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Computationally Efficient Optimization of
Reference 3
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Observation 22323db2-077d-4ce6-9ef7-86ded7b52560 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective 2025 , eprint =
Reference 4
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Observation bc930beb-58cd-4ecc-a2ad-d273e66721c7 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models
Reference 5
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Observation 2ab39a61-7fdc-44b9-ba0c-266f239da232 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective On Advantage Estimates for Max@K Policy Gradients
Reference 6
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Observation 6896b378-7fed-44bd-b6f8-dcd0c1a30cb5 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective OrderGrad: Optimizing Beyond the Mean with Order-Statistic Policy Gradient Estimation
Reference 7
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Observation fea2c899-10fb-4f4f-987e-1789dea19f42 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective 2510.23393 , archivePrefix =
Reference 8
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Observation 4926244d-f3bf-448b-888a-a6ff2245df2d · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective 2026 , eprint =
Reference 9
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Observation 4f40a9d8-198f-493b-96a4-50da57642f0b · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
Reference 10
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Observation 74e6cbc5-a7c8-450d-9a91-24ad0b51d97f · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Estimating Gradients for Discrete Random Variables by Sampling without Replacement
Reference 11
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Observation bb9d5e15-71c5-4c0b-9b1e-b6ef94755c76 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Proceedings of the 37th International Conference on Machine Learning (ICML) , series =
Reference 12
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Observation c24b8b12-0b06-4fdf-ba77-b47aba57c30f · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Journal of the ACM , volume =
Reference 13
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Observation 751bc6f9-8ea0-4376-b35c-6bc4c0942fd6 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
Reference 14
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Observation 325de8de-2e52-4b9c-abf9-9a3624a3ff3c · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective 2014 , month = aug, howpublished =
Reference 15
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Observation f1c2dc73-0a4c-4104-944a-eccb2a56623b · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Proceedings of the VLDB Endowment , volume =
Reference 16
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Observation e3216397-0154-41b9-a68d-905aafb5e0fc · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective 2017 , eprint =
Reference 17
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Observation f010eeb7-dd70-4669-9e95-f14988eb2539 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective 2020 , eprint =
Reference 19
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Observation 4215de35-f441-4ed2-8d42-8e20605e5b12 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Attention, Learn to Solve Routing Problems!
Reference 20
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Observation 38d26e2e-88be-4d4e-972f-941eae9c3d10 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Winner Takes It All: Training Performant
Reference 21
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Observation cbd7bfd0-9838-421f-ba8b-0d64e8087f64 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective International Conference on Learning Representations (ICLR) , year =
Reference 22
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Observation eddb20e4-60e2-4ea4-8eb0-f8dd57cca72b · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
Reference 23
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Observation 64de43a5-532d-467a-95d6-58201f402220 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Leader Reward for
Reference 24
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Observation 91e72a01-efcf-4148-815b-df66daacabf2 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Variational Best-of-
Reference 26
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Observation f1997d5a-cba9-434c-acf6-cad735e8af65 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective and Zhan, Anthony and Gandhi, Kanishk and Goodman, Noah D
Reference 27
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Observation 1e5d896f-cad1-46dd-8516-b04d33fe04a8 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Understanding
Reference 28
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Observation ed8d7280-4a59-4eba-95e4-82f389799c64 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Cast a Wider Net: Coordinated Pass@K Policy Optimization for Code Reasoning
Reference 29
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Observation d489190e-01e8-4063-a781-286011bccd4e · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective International Conference on Learning Representations (ICLR) , year =
Reference 30
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Observation bfab8a82-32f0-44d1-8de5-cc2e7b09b367 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI) , year =
Reference 31
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Observation e0b98bf1-c0bf-482a-b609-87535984d1b9 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Advances in Neural Information Processing Systems (NeurIPS) , year =
Reference 32
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Observation b987e703-a624-423e-8cd0-7065a9101093 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Ahmed, Nick Duffield, Theodore L
Reference 33
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Observation 00553ecb-2788-4879-a3e5-1eddc551446c · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Variational Best-of-N Alignment
Reference 34
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Observation bfaddbe4-0b80-4a8a-b170-9624f5a024ac · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation , 2025
Reference 35
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Observation cad04217-7aec-4aa9-88d2-05fba70be87d · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Dempster, and Jun S
Reference 36
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Observation 857d022f-729f-46ee-9073-cd75ab1e0405 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Tighter estimation using bottom k sketches
Reference 37
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 77e7b3b2-bec3-4591-8025-0224d1a5a4f1 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Stream sampling for variance-optimal estimation of subset sums
Reference 38
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f45ad821-790b-44b8-9ec9-aedc598ba4f3 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Priority sampling for estimation of arbitrary subset sums
Reference 39
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Observation 71abd97e-9964-45ce-be17-299c03f85baf · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Unresolved cited work
Reference 40
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b1074197-18fc-473c-9f8f-bbe7731dd6da · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Unresolved cited work
Reference 41
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Observation 488892cf-edbd-4749-95d8-c8993c1f746c · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective PolyNet : Learning diverse solution strategies for neural combinatorial optimization
Reference 42
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Observation a7034ad3-49c6-417a-ad7a-206447160bda · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Stochastic beams and where to find them: The Gumbel -top- k trick for sampling sequences without replacement
Reference 43
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Observation 7c84cf47-8ca2-49ba-829a-4b9f242707f6 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Estimating gradients for discrete random variables by sampling without replacement
Reference 44
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Observation f4dbe44e-20c5-4f60-802c-befc870e749b · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective POMO : Policy optimization with multiple optima for reinforcement learning
Reference 45
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Observation f5e28f1b-5cf2-4ead-be7a-8a4942745b00 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective QuasiMoTTo: Quasi-Monte Carlo Test-Time Scaling
Reference 46
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Observation be9a21d2-88b9-49b5-9ae7-c4f794dc53ea · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Cast a Wider Net: Coordinated Pass@K Policy Optimization for Code Reasoning , 2026 b
Reference 47
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Observation 4f93ba30-c06b-492b-8503-87b20a34ffe2 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Understanding R1-Zero-Like Training: A Critical Perspective
Reference 48
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Observation 5ca17f2b-7bd8-4ba9-9d96-ed5d8e573895 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Conditional Poisson Stochastic Beam Search
Reference 49
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Observation 179a38a6-fce8-498a-8255-4952101ff3eb · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness
Reference 50
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Observation 050b13e0-8aa7-4d26-915a-a20c09cc8152 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective OrderGrad: Optimizing Beyond the Mean with Order-Statistic Policy Gradient Estimation , 2026
Reference 51
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Observation ac80b3c2-cee1-4eb6-a06b-a1cb1cd30373 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Gradient Estimation with Stochastic Softmax Tricks
Reference 52
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Observation aa7ed14c-1f03-472a-863a-c91bdf54d84f · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Reference 53
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Observation 597016dc-504d-4662-a792-9d8f12498fd3 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Unresolved cited work
Reference 54
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Observation 4cb0ef76-f7d2-4d3b-9c00-9b632553fef5 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective BOND: Aligning LLMs with Best-of-N Distillation
Reference 55
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Observation e7a08a80-89f8-4a7d-aa6c-4739744aef84 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Incremental sampling without replacement for sequence models
Reference 56
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Observation 1f5072c9-4f76-4b43-9b19-3e0f9d25a183 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective On Advantage Estimates for Max@K Policy Gradients , 2026
Reference 57
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Observation b9631100-bc6c-4389-9941-29ec51c6ba0e · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Advantage Shaping as Surrogate Reward Maximization: Unifying Pass@K Policy Gradients
Reference 58
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Observation 2d443b4a-4f94-4ee6-8197-67a7ab00e800 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Gumbel-max trick and weighted reservoir sampling
Reference 59
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Observation b5dbf9ab-8461-4705-bdba-f4c453335749 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
Reference 60
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Observation 1a5b7ef3-d656-4f84-8e2e-c5c7dc850b1c · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Leader Reward for POMO-Based Neural Combinatorial Optimization
Reference 61
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Observation 07dde933-115e-4a37-86f4-9a52c578c9d3 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Reparameterizable Subset Sampling via Continuous Relaxations
Reference 62
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Observation 891a236e-9694-453d-ae62-e3e58b303975 · outbound
Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models , 2025
Reference 63
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No inbound Pith citation observations are available.