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Paper Citation Record · LEDGER

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance

As of 10 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2608.00024.

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

pith.paper-citation-record.v1
2608.00024 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T02:03:10.310169Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

68 of 68 outbound references displayed

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External citation measurements

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Outbound references

Observation 883a084c-60e5-48ce-bb69-ef15b6c72059 · outbound

This paper cites Simple Guidance Mechanisms for Discrete Diffusion Models.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Simple Guidance Mechanisms for Discrete Diffusion Models

Reference 1

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source=arxiv_source observed=2026-08-04T02:03:02.974560Z digest=sha256:fe2f034db8594a60b42d38124ba3860b565f4de20b05708d36ce6590b456bb19

Observation a2a8cb4c-c8ec-41e0-a1d0-46675f6d7ae9 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in Neural Information Processing Systems , volume=

Reference 2

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source=arxiv_source observed=2026-08-04T02:03:03.053746Z digest=sha256:efe59857c808b68fae99735baa2d744b80f66b059121c979bc22d86ab7be2625

Observation 68603dae-e3ff-425f-a630-e98922398635 · outbound

This paper cites Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Reference 3

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source=arxiv_source observed=2026-08-04T02:03:03.148606Z digest=sha256:0725b757adc62ea86a83e8235d12f8bb581c4d8b916b0b013a584c6900b816b3

Observation bcedfda3-1774-429e-9121-c3b451c37204 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in neural information processing systems , volume=

Reference 4

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source=arxiv_source observed=2026-08-04T02:03:03.219013Z digest=sha256:98405332d6f0d2e94f9f4a0681fd002cd69357cc7129048f33bcd59b7136fed6

Observation e9eb6065-9bfd-49d2-a9a9-fc8ed5c1a6e5 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Classifier-Free Diffusion Guidance

Reference 5

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source=arxiv_source observed=2026-08-04T02:03:03.272120Z digest=sha256:fb6c1d5a2b792631c7e24c0f2149674207ffb255e54b90da05edf45134a68c75

Observation cd109836-7d8b-4ff7-868c-fb046e20c326 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in Neural Information Processing Systems , volume=

Reference 6

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source=arxiv_source observed=2026-08-04T02:03:03.351627Z digest=sha256:d5be4955a0609880f973ea768b272cf368440a0b8ccc24b40c3b71c42a7ff438

Observation ad6bf548-37e7-431f-bb6b-f691eebe4073 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in neural information processing systems , volume=

Reference 8

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source=arxiv_source observed=2026-08-04T02:03:03.512215Z digest=sha256:3779597ec042a62f358533dfd25024f561fd87b52736b1fec8841da9d51c5974

Observation 6ffc31a7-1530-458b-b1fd-605f98d1e386 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in neural information processing systems , volume=

Reference 9

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source=arxiv_source observed=2026-08-04T02:03:03.577090Z digest=sha256:c1a2e067a428457750f5b447c821982ebb775b949fb81b5f9568a9cae821fa98

Observation 4440607d-33d6-443d-88dd-a3def257b894 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Score-Based Generative Modeling through Stochastic Differential Equations

Reference 10

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source=arxiv_source observed=2026-08-04T02:03:03.698802Z digest=sha256:25236f0a5644dfd08ef20646316cfda8badeedf8751aaae2cf919653147be173

Observation 95c2ed2d-755d-4ff6-be16-1822fd8848f8 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance International conference on machine learning , pages=

Reference 11

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source=arxiv_source observed=2026-08-04T02:03:03.862781Z digest=sha256:8c717a43b35ce59b509a20774f0b8bfc5458d67d40c379efd1f8efdec5e797d8

Observation acd6b0bb-6b4a-4c0c-84c8-d9aecbc10beb · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in neural information processing systems , volume=

Reference 12

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source=arxiv_source observed=2026-08-04T02:03:03.971072Z digest=sha256:c1d7d0ff1e64c81486eeb4246b74126eb8c3ccda62ba589f2436a92687fe679d

Observation d6340802-dee9-4528-8e69-1f1ee7582088 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Proceedings of the 40th International Conference on Machine Learning , pages=

Reference 13

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source=arxiv_source observed=2026-08-04T02:03:04.077336Z digest=sha256:7abdff56a87d39732bfd01905e947beea5ba4a6c61fcc71ff0c478d8af071f38

Observation 407a0ab9-8a7e-4807-b31d-511379b993be · outbound

This paper cites Flow Matching for Generative Modeling.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Flow Matching for Generative Modeling

Reference 14

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source=arxiv_source observed=2026-08-04T02:03:04.179578Z digest=sha256:dd9e6977cf37deed8a9c2918c97a206966e68a2be72ce782d36f345c1c454acc

Observation a323f27f-b647-42aa-938f-34ed2c28e367 · outbound

This paper cites Denoising Diffusion Implicit Models.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Denoising Diffusion Implicit Models

Reference 15

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source=arxiv_source observed=2026-08-04T02:03:04.327116Z digest=sha256:b1e0c8fd52620f32031b15e1d20d4723dc34098b08fd8e1d6680cef63f4c7c0e

Observation c84bbae3-5caf-4251-9968-7a61e2781315 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in neural information processing systems , volume=

Reference 16

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source=arxiv_source observed=2026-08-04T02:03:04.417535Z digest=sha256:8afaa0af4f62b2d5dd6417b849c1ddaa42bd5612f7ef100dede2da1f3cdfe3d2

Observation 75f00d24-2057-44a1-80b6-f21bdcce373d · outbound

This paper cites SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 17

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source=arxiv_source observed=2026-08-04T02:03:04.481591Z digest=sha256:5241ccfeea4f9e1a8e53929fd0fb26ecc55a4b5f47930762673ca2ac840594cf

Observation f53d39f8-f01d-4a39-b607-24709843f92e · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in neural information processing systems , volume=

Reference 18

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source=arxiv_source observed=2026-08-04T02:03:04.612221Z digest=sha256:21c6a1b3b673d605ccbaf077e8cb36e6e9c7623e820e65e555f61e6e669de2b5

Observation 8209ad5e-417e-46f2-bcfa-0e1fea6b770c · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in Neural Information Processing Systems , volume=

Reference 19

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source=arxiv_source observed=2026-08-04T02:03:04.731419Z digest=sha256:287c3a7a7e1e9fab7823d2f01b4ec78a07ea385fe53be6725b3ef66b5a17cfaa

Observation 865ee23b-4431-4ff1-afb9-1775074f079a · outbound

This paper cites Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Reference 20

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source=arxiv_source observed=2026-08-04T02:03:04.882347Z digest=sha256:b803c2e29474a6ded43bf0b79f75800ab0d9af9e5a6d4e816d1ec7bf4472a977

Observation 2c8a9c73-76af-4463-bed6-8ed0e68a9e76 · outbound

This paper cites Large Language Diffusion Models.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Large Language Diffusion Models

Reference 21

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source=arxiv_source observed=2026-08-04T02:03:05.092297Z digest=sha256:04e3a2b483611c07bba10ca6fe3fb3e3c6c901a0314111682be582286d3a00f1

Observation 251b6b57-1615-4432-80c7-917f6c7157b7 · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Dream 7B: Diffusion Large Language Models

Reference 22

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source=arxiv_source observed=2026-08-04T02:03:05.245820Z digest=sha256:1a6f74741d36c1eaba85666e5c326dbff676ada254f29bf780170278f18f7baf

Observation 3fefd170-3330-4aef-92cb-5f4eac2b30a8 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 23

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source=arxiv_source observed=2026-08-04T02:03:05.436742Z digest=sha256:92eff45770270ea309aa666f8c4c5a6f74326f82a6e27ad05b9698f6645c5c3a

Observation 0c7b496d-0760-42f5-9f90-d92c08d6d706 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in neural information processing systems , volume=

Reference 24

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Observation f516bd55-be78-44de-9093-6a32fd9cb557 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance International conference on machine learning , pages=

Reference 25

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source=arxiv_source observed=2026-08-04T02:03:05.738281Z digest=sha256:006448449c64983b225fa3ca86720953cb34c653add663498c528478c008c0bc

Observation 2b04cd37-9a39-4a7e-beec-43f45da69216 · outbound

This paper cites Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: human language technologies , pages=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: human language technologies , pages=

Reference 26

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Observation 2f2e7e65-abe9-4809-b2e4-2e6d7117e9da · outbound

This paper cites Qwen3 Technical Report.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Qwen3 Technical Report

Reference 27

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source=arxiv_source observed=2026-08-04T02:03:06.025898Z digest=sha256:9606ab3ef0c66c17e0bea7ae67315e7d8961b8d536bc0914fe7d8805e04563ae

Observation c4515cea-8aac-42a9-8575-7cabb702abdb · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in Neural Information Processing Systems , year=

Reference 28

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Observation 8825496e-75e4-4e45-bb64-8c86fdf3179b · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models , booktitle =.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance High-Resolution Image Synthesis with Latent Diffusion Models , booktitle =

Reference 29

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source=arxiv_source observed=2026-08-04T02:03:06.219838Z digest=sha256:861d100948b43efbfed4a8a6a2148e0c5a82ddac4d4091446e22cb3e4f295577

Observation 43518ff6-86ba-45bb-a4da-d2ce1abfca24 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Journal of Machine Learning Research , volume=

Reference 30

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source=arxiv_source observed=2026-08-04T02:03:06.409451Z digest=sha256:79145c2bb1dce614c7602b1472538df58dce9a53e68c2ce88669e3a9cc1043ad

Observation 10c71744-417e-47d7-b79a-5ac082086605 · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 31

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source=arxiv_source observed=2026-08-04T02:03:06.559801Z digest=sha256:e3885bba212a1a83c99e02c20b6d8484c1a85bba1dac3d22035fa410db411378

Observation 57fb6a94-7403-4c6d-b340-99c60277203a · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 32

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source=arxiv_source observed=2026-08-04T02:03:06.708889Z digest=sha256:1fa3dce8ab10fd0f1bc1310aff7bbaec9607cfd1d18c10700bc2bc8e72cb96ef

Observation 86a8e98d-def2-4554-b468-0ff22f1dc381 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 33

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source=arxiv_source observed=2026-08-04T02:03:06.830874Z digest=sha256:7473a411452352bec7f1caa744645d8a5c33e52a8e5d8d6b77df5fa6e8f5e20b

Observation f4f50be9-1925-434e-aabf-cc5512308829 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 34

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source=arxiv_source observed=2026-08-04T02:03:06.962230Z digest=sha256:5cb3e9b4293b6e06b74110db5fee8d8fdac3993aec370bd4a09621b9bc750ba4

Observation 4a4b49f7-a32a-4606-bed0-cfbd39e9ad56 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 35

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source=arxiv_source observed=2026-08-04T02:03:07.089382Z digest=sha256:6f435aef4260cd3d8d1a400ca787093bcec2171ce7bad34d806c880dd5c83036

Observation 66a69ca5-869f-4b72-a67b-a310176a1085 · outbound

This paper cites Jaakkola , booktitle=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Jaakkola , booktitle=

Reference 36

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source=arxiv_source observed=2026-08-04T02:03:07.187440Z digest=sha256:169c51ba0116fe15909a3f2c77e7a1229b3cbb265fc5d03e3f27093c8a645c02

Observation 26b1de02-f07e-4a65-84db-a02fdaceac55 · outbound

This paper cites European Conference on Computer Vision , pages=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance European Conference on Computer Vision , pages=

Reference 37

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source=arxiv_source observed=2026-08-04T02:03:07.316414Z digest=sha256:471c6318a63ef4c5269c9f6a47b3ae97954e3d960e666cd416341324f3edefcf

Observation 0992aabd-b0cc-4ad2-b68b-5e62031d4ca3 · outbound

This paper cites Measuring Diversity in Synthetic Datasets.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Measuring Diversity in Synthetic Datasets

Reference 38

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source=arxiv_source observed=2026-08-04T02:03:07.556469Z digest=sha256:61a1f08a048903f5bab47642a84346360d5ee0b320b1d9205ea1b297da51f375

Observation d848f3a1-34b0-4c07-9381-8e217641d4c8 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in neural information processing systems , volume=

Reference 39

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source=arxiv_source observed=2026-08-04T02:03:07.637573Z digest=sha256:f0831a5c477bcd92d18fb4784cbd45b3e22e37974248911a3907cc02cfcc4364

Observation 1388a6bd-5785-4891-ae9e-1a7ecbd6eefe · outbound

This paper cites The Vendi Score: A Diversity Evaluation Metric for Machine Learning.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Reference 40

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source=arxiv_source observed=2026-08-04T02:03:07.691959Z digest=sha256:e895c60860e2d8b9ca8fe03b879686cfb42f11dc73365d10b870893c59c4136f

Observation 6a3af68a-b07e-4568-9b50-9c0d7b2c7aa4 · outbound

This paper cites Weber , title=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Weber , title=

Reference 41

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source=arxiv_source observed=2026-08-04T02:03:07.749782Z digest=sha256:fca6c2aee83d3683aee8274ae94364a7ec2925d90165cc8b53f73491fde48b3c

Observation 251396a6-70f1-4ac9-8e63-b062c7e90a75 · outbound

This paper cites 2025 , eprint=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance 2025 , eprint=

Reference 42

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source=arxiv_source observed=2026-08-04T02:03:07.823005Z digest=sha256:88c37ef6df3bf44b3a50ed77683a2ebb12164fc532e81ede1bfef225b5284420

Observation 1432f8f6-6087-4c79-b53f-df8fccface23 · outbound

This paper cites Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Reference 43

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source=arxiv_source observed=2026-08-04T02:03:07.871379Z digest=sha256:0800e01784dcedbe95a3e18e06784d4b56fb25f4122394830b076a2f11f61609

Observation f9e5404f-c5c6-415e-8d1b-b111f0141b03 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance The Curious Case of Neural Text Degeneration

Reference 44

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source=arxiv_source observed=2026-08-04T02:03:07.986823Z digest=sha256:b57b9ea810f7f88cdd1b304761e7f1a7f054f70ddf366791f187a028163aef1d

Observation d04e3dea-639d-4883-9c9c-04e375fb5692 · outbound

This paper cites arXiv preprint arXiv:2407.01082 , year=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance arXiv preprint arXiv:2407.01082 , year=

Reference 45

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source=arxiv_source observed=2026-08-04T02:03:08.059154Z digest=sha256:11cc0f7c131896dea091ce6a7935799f731cfad8c26b25c6ac3ac98cd10a0d10

Observation f2c49798-a9bf-4205-b44e-c4d0cc6e36a7 · outbound

This paper cites DeepSeek-V3 Technical Report.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance DeepSeek-V3 Technical Report

Reference 46

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source=arxiv_source observed=2026-08-04T02:03:08.171786Z digest=sha256:921f9e8cf235707a79cbce9e57d3042ad5aa5cc69ba0c5a2bd83ebb566466ff9

Observation 6cdb8fe7-99c2-4387-8c59-13b681cd9e8c · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in neural information processing systems , volume=

Reference 47

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source=arxiv_source observed=2026-08-04T02:03:08.305202Z digest=sha256:ee9ad08f8ad73f8b66ba4d627cee01cb40f3350cf8338dd6698bd3b590887588

Observation d1f544db-9e1a-4af7-a0df-61ed064e74fa · outbound

This paper cites 2025 , eprint=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance 2025 , eprint=

Reference 48

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source=arxiv_source observed=2026-08-04T02:03:08.404752Z digest=sha256:2942cde97a63cbcfdb192aec9f2bc5d669513a64205be4fd28708543bd87523e

Observation d03b1dff-fa4e-48d6-ae25-a58886115967 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year =.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance The Thirty-ninth Annual Conference on Neural Information Processing Systems , year =

Reference 49

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source=arxiv_source observed=2026-08-04T02:03:08.483088Z digest=sha256:ab54502f88225349feea8bfb8faf11858be48e56369bab6010b9d862403e926f

Observation 4ccb14f1-a11d-4f5c-9b4e-6b77c9cf2d0b · outbound

This paper cites IEEE International Symposium on Information Theory (ISIT) , year =.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance IEEE International Symposium on Information Theory (ISIT) , year =

Reference 50

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source=arxiv_source observed=2026-08-04T02:03:08.618943Z digest=sha256:25915e2d3f8122a4daec17de678028fe06ceee793136b9b86c7a8970daf050a5

Observation ca5c09d5-e353-44d4-a666-f4496a56c9e3 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance International Conference on Machine Learning , year=

Reference 51

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source=arxiv_source observed=2026-08-04T02:03:08.816440Z digest=sha256:2ca64af392af3d25a1d6bface24a6cfc7f088476a34695707858291c08a7aae1

Observation 198b99a8-6864-4247-9e47-07ebdcfe0797 · outbound

This paper cites Conditional Vendi Score: Prompt-Aware Diversity Evaluation for Generative.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Conditional Vendi Score: Prompt-Aware Diversity Evaluation for Generative

Reference 52

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source=arxiv_source observed=2026-08-04T02:03:08.918970Z digest=sha256:8291ec3ec9dcfa37ef585a20c816fe8d333043d8ad9010846db6771d061f19bf

Observation 6cd55f5e-e66c-4364-95ec-76ee7b513e35 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in Neural Information Processing Systems , volume=

Reference 53

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source=arxiv_source observed=2026-08-04T02:03:08.975206Z digest=sha256:3b4dd9e13e21ebbf5c322edb18a12b8c73cb37b0a144769411e64a697e68f9c5

Observation 0e6264d5-a95e-42fc-ad68-f602195a6ebd · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance International Conference on Machine Learning , pages=

Reference 54

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source=arxiv_source observed=2026-08-04T02:03:09.042764Z digest=sha256:74e5b38e40c59214c25cc6539a28f9e71e4545544f7c3aaa8f56691d88f6c937

Observation 9fc5c581-c573-4b37-88bf-627be8534136 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance International Conference on Machine Learning , pages=

Reference 55

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source=arxiv_source observed=2026-08-04T02:03:09.147621Z digest=sha256:7f21799c8077e376a62c28d685b9e409b8ce454a0bdbdadad45ed5c87a1c32fc

Observation 0ac22cd2-7905-4595-873e-5b2b02d3bebd · outbound

This paper cites Proceedings of The 28th International Conference on Artificial Intelligence and Statistics , pages =.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Proceedings of The 28th International Conference on Artificial Intelligence and Statistics , pages =

Reference 56

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source=arxiv_source observed=2026-08-04T02:03:09.268737Z digest=sha256:a33415bf94158148017ff40ce815935ce9de8afd6ae4deaced11d10ba1a658d9

Observation 0f6027fc-0633-4bcc-b2cf-1e16804f998e · outbound

This paper cites Proceedings of the 26th International Conference on Machine Learning (ICML) , year=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Proceedings of the 26th International Conference on Machine Learning (ICML) , year=

Reference 57

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source=arxiv_source observed=2026-08-04T02:03:09.375721Z digest=sha256:c43e5f6f2e3c247e6477674679681cc8a3efc91de694c05123fdef6e91195800

Observation 9b91bcd3-1798-48a8-a63c-908deb8c3ec1 · outbound

This paper cites Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-

Reference 58

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source=arxiv_source observed=2026-08-04T02:03:09.440175Z digest=sha256:b02a6a027de2b8f471a6b5957c6ea27df236e7191b6f1066c3a189418e1003d1

Observation e28b1a3c-a471-4255-8a97-a3b4da103775 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops , pages=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops , pages=

Reference 59

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source=arxiv_source observed=2026-08-04T02:03:09.469876Z digest=sha256:6a7eb21650c022e8f2cf31246e4d9edf167458280eb72721e756a428d3c50fb9

Observation 570ff34c-717d-48a3-b431-d515143e60ab · outbound

This paper cites The 41st Conference on Uncertainty in Artificial Intelligence , year=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance The 41st Conference on Uncertainty in Artificial Intelligence , year=

Reference 60

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source=arxiv_source observed=2026-08-04T02:03:09.548409Z digest=sha256:cacf445fe4f6533d4c990c964bab56322247cce0e60d266be4eb2ecfec57cc4d

Observation 90b6c734-88d1-497b-aa83-1c5eb2ad6709 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =

Reference 61

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source=arxiv_source observed=2026-08-04T02:03:09.649938Z digest=sha256:c77009330e5a35a5bc5ac50473690984cd7cc951b8b93e74d51716e2796d1b97

Observation 5f653a3a-9c21-421a-bc7d-54e2ed4c1ec7 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Proceedings of the 41st International Conference on Machine Learning , pages =

Reference 62

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source=arxiv_source observed=2026-08-04T02:03:09.765171Z digest=sha256:4d4a0c11d5c0164fd58523fa31d0a8a816b102d54144361636cca661bdf5f160

Observation 012bda77-1395-4b3d-a6a2-bb9ae84a4ff9 · outbound

This paper cites an unresolved cited work.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Unresolved cited work

Reference 63

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source=arxiv_source observed=2026-08-04T02:03:09.842357Z digest=sha256:0e37813eafd975e04cbc6a1beca90caa3129cc98476a386d7e43881781be3cc9

Observation 3205af4b-b27b-41da-a9ed-78c1ccc5da9a · outbound

This paper cites arXiv preprint arXiv:2505.18901 , year=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance arXiv preprint arXiv:2505.18901 , year=

Reference 64

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source=arxiv_source observed=2026-08-04T02:03:09.892452Z digest=sha256:2530bbd79b8865c4398652fffe3a0fd3bc8decb46e60a307b6861f61a3de62a2

Observation cba3f686-8756-4e3c-b367-c0a9d0e2c4ce · outbound

This paper cites Forty-third International Conference on Machine Learning , year=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Forty-third International Conference on Machine Learning , year=

Reference 65

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no resolver link, observed 2026-08-04T02:03:09.962574Z

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source=arxiv_source observed=2026-08-04T02:03:09.962574Z digest=sha256:7242c15df6185c16810515725a41fe5f9f3d7895e6992c8442276d1b34aafa16

Observation 9de3af78-3699-4c07-bb01-a0f018b8f513 · outbound

This paper cites Mixture-Greedy for Online Generative Model Selection: Is.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Mixture-Greedy for Online Generative Model Selection: Is

Reference 66

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source=arxiv_source observed=2026-08-04T02:03:10.098314Z digest=sha256:7bc6d09f82da8186be8ed82d40aee78799a8aa4e95f5a1df249f7559ac5cc158

Observation d7af494c-9083-424d-af9b-40e7da43a914 · outbound

This paper cites 2026 , url=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance 2026 , url=

Reference 67

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source=arxiv_source observed=2026-08-04T02:03:10.148041Z digest=sha256:61d26decb8d340db46c836082802413da818d1f6e3ef9f5e8b2dbf72eb177e04

Observation c6e1773f-bc25-4194-862f-5c760ea2ed34 · outbound

This paper cites ICML 2026 Workshop on Combining Theory and Benchmarks: Towards A Virtuous Cycle to Understand and Guarantee Foundation Model Performance , year=.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance ICML 2026 Workshop on Combining Theory and Benchmarks: Towards A Virtuous Cycle to Understand and Guarantee Foundation Model Performance , year=

Reference 68

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source=arxiv_source observed=2026-08-04T02:03:10.191688Z digest=sha256:209fc25bd480b82c6d6f82c98810bc25b9ecbb835a05e9829798c776752b502d

Observation 5c48cbc2-685f-4f75-9a0e-239bee7cb555 · outbound

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

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Advances in Neural Information Processing Systems , volume=

Reference 69

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source=arxiv_source observed=2026-08-04T02:03:10.310169Z digest=sha256:4dd21b97ba816bff7b13ec29bd657239b28373b571a02e3006f57ee0dccc18cc

Pith citing papers

No inbound Pith citation observations are available.