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Paper Citation Record · LEDGER

Sample-Efficient Optimisation over the Outputs of Generative Models

As of 4 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2509.23800.

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

pith.paper-citation-record.v1
2509.23800 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T12:58:33.173828Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

24 of 24 outbound references displayed

  • verified exact11
  • verified fuzzy9
  • unresolved2
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66161cbd-c75b-41f7-bf7f-62ee912754ca · outbound

This paper cites Linear com- binations of latents in generative models: subspaces and beyond.arXiv preprint arXiv:2408.08558.

Sample-Efficient Optimisation over the Outputs of Generative Models Linear com- binations of latents in generative models: subspaces and beyond.arXiv preprint arXiv:2408.08558

Reference 1

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verified exact
arxiv_id, observed 2026-05-18T13:01:23.692015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation bf9e53b8-784c-42ee-86a3-5c4ed5085d0e · outbound

This paper cites Inversion-based Latent Bayesian Optimization.

Sample-Efficient Optimisation over the Outputs of Generative Models Inversion-based Latent Bayesian Optimization

Reference 2

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verified exact
arxiv_id, observed 2026-05-18T13:01:23.696523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2cbe859b-1b10-4e46-8c07-f7376b0d3bfc · outbound

This paper cites Iterative importance fine-tuning of diffusion models.arXiv preprint arXiv:2502.04468.

Sample-Efficient Optimisation over the Outputs of Generative Models Iterative importance fine-tuning of diffusion models.arXiv preprint arXiv:2502.04468

Reference 3

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verified exact
arxiv_id, observed 2026-05-18T13:01:23.700492Z

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Observation 7eada8b6-eacb-4a36-8def-6609965f36ef · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Sample-Efficient Optimisation over the Outputs of Generative Models Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d10b84b4-4e99-418d-ba6b-77d5a394bd0c · outbound

This paper cites Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.

Sample-Efficient Optimisation over the Outputs of Generative Models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 5

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arxiv_id, observed 2026-05-18T13:01:23.704996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6c4569fe-ced2-49ee-9a8f-f6b3ade54581 · outbound

This paper cites Stable audio open.

Sample-Efficient Optimisation over the Outputs of Generative Models Stable audio open

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c726dc36-5b44-49ef-87c1-86a32af90316 · outbound

This paper cites High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning.

Sample-Efficient Optimisation over the Outputs of Generative Models High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

Reference 7

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arxiv_id, observed 2026-05-18T13:01:23.709758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2d910275-27d9-4ced-a787-a87190d90cd3 · outbound

This paper cites The CMA Evolution Strategy: A Tutorial.

Sample-Efficient Optimisation over the Outputs of Generative Models The CMA Evolution Strategy: A Tutorial

Reference 8

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local_arxiv, observed 2026-05-18T13:01:23.713581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 99c80765-94f4-4633-8dd7-aced2341ca12 · outbound

This paper cites Particle swarm optimization.

Sample-Efficient Optimisation over the Outputs of Generative Models Particle swarm optimization

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c14c0536-d911-433b-b272-a8087ae7fbfd · outbound

This paper cites Auto-Encoding Variational Bayes.

Sample-Efficient Optimisation over the Outputs of Generative Models Auto-Encoding Variational Bayes

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ceb4ec91-c080-4fa6-aeea-b787520464a3 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Sample-Efficient Optimisation over the Outputs of Generative Models HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 11

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verified exact
local_arxiv, observed 2026-05-18T13:01:23.721555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c69e0361-beac-4ad7-99e4-79d78689e9bd · outbound

This paper cites Grammar variational autoencoder.

Sample-Efficient Optimisation over the Outputs of Generative Models Grammar variational autoencoder

Reference 12

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raw_fallback, observed 2026-05-18T13:01:24.978327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8e1044f7-cf7a-4592-b54d-fcda5f728dd0 · outbound

This paper cites Flow Matching for Generative Modeling.

Sample-Efficient Optimisation over the Outputs of Generative Models Flow Matching for Generative Modeling

Reference 13

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 237a849b-265d-4fff-99da-ebc813c050bb · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Sample-Efficient Optimisation over the Outputs of Generative Models Efficient Estimation of Word Representations in Vector Space

Reference 14

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verified exact
local_arxiv, observed 2026-05-18T13:01:23.725288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 4dca4373-6d0f-40f5-ba5e-5067a0d0ee96 · outbound

This paper cites Nomura and M.

Sample-Efficient Optimisation over the Outputs of Generative Models Nomura and M

Reference 15

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arxiv_id, observed 2026-05-18T13:01:23.729102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3df6d997-2fa2-43fe-b4e0-2608b8d70535 · outbound

This paper cites Denoising Diffusion Implicit Models.

Sample-Efficient Optimisation over the Outputs of Generative Models Denoising Diffusion Implicit Models

Reference 16

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verified exact
local_arxiv, observed 2026-05-18T13:01:23.732626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6b1fd893-b6bf-4045-8636-07cd36543bd9 · outbound

This paper cites Xie, T., Xue, S., Feng, Z., Hu, T., Sun, J., Li, Z., and Zhang, C.

Sample-Efficient Optimisation over the Outputs of Generative Models Xie, T., Xue, S., Feng, Z., Hu, T., Sun, J., Li, Z., and Zhang, C

Reference 17

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 43c0e501-0dc3-4249-ba06-9a369522df34 · outbound

This paper cites Let ξ= [ϵ1.

Sample-Efficient Optimisation over the Outputs of Generative Models Let ξ= [ϵ1

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a99a5e43-570e-4df3-925a-ae3ee9e62471 · outbound

This paper cites Knothe–Rosenblatt (KR) chart.LetU∈(0,1) K−1and define independent stick-breaks vk =I −1 uk( 1 2 , K−k 2 ), k=1.

Sample-Efficient Optimisation over the Outputs of Generative Models Knothe–Rosenblatt (KR) chart.LetU∈(0,1) K−1and define independent stick-breaks vk =I −1 uk( 1 2 , K−k 2 ), k=1

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 91ae0ac2-6ac3-4ed6-b052-d70cd1439e3f · outbound

This paper cites (2024) has a dimensionality of severalmillion.

Sample-Efficient Optimisation over the Outputs of Generative Models (2024) has a dimensionality of severalmillion

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ea8ee523-075d-46b1-98d5-6fa50b22f60e · outbound

This paper cites The number of samples per setting is 10,000 , with 100 realisations of the seeds drawn from N(0,I) and 100 uniformly sampled u per sampled seeds realisation.

Sample-Efficient Optimisation over the Outputs of Generative Models The number of samples per setting is 10,000 , with 100 realisations of the seeds drawn from N(0,I) and 100 uniformly sampled u per sampled seeds realisation

Reference 21

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e6d0e362-33f8-4435-9cea-2dcacfd237fc · outbound

This paper cites an unresolved cited work.

Sample-Efficient Optimisation over the Outputs of Generative Models Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d7ce92ad-a4d1-46ee-b6bc-ad1efc38ddb4 · outbound

This paper cites an unresolved cited work.

Sample-Efficient Optimisation over the Outputs of Generative Models Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 67779a94-578a-42c0-b05b-0b3d33909d4a · outbound

This paper cites •Random search inU.

Sample-Efficient Optimisation over the Outputs of Generative Models •Random search inU

Reference 24

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raw_fallback, observed 2026-05-18T13:01:24.969254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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