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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 18 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 2026-08-18T06:34:40.430872+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=sha256:8b7c5e5603c052fc90aa4ed63db3aa47c3423bf61e8440a42503dcce0940289c

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:e574f340e6effd634e948abdcd6ec62b310ee3b8e85087eb3739a35361b1522c

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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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=sha256:9c580c471e60cbcccbe4a6e7ff59a59180445e0aeb022cba2374bacb02506bbd

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=sha256:05ece47909034307043cefa6efbb7d1acb4e442a14160fc2afe59717c5ea82ae

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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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=sha256:6fde7a1186260204aaccb5efbce86265d2f4255c0fde8f0a115e593740f47060

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=sha256:6ebc401f8b7e00068d759caf042e06dbde9908d8ec200df9974a385c06b5da68

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:e4ee88c0d6de937957ff0965b3dfdfd040867fcf8fcd23c9d4a027f33d950ba9

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=sha256:8ba3a8cedb5ddf27068d2a231ce7eb27b70e3ef6e4ff981f7047d3e6f58a7528

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=sha256:6e50abdc986f8fdeb307d3f0a5d1cf4d9e59fc75a378b1367ff356dfb07a9308

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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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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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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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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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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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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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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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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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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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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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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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=sha256:1c881af4db2eddc72352aa0ad44b1acf129aad36e3b2d0a5e9f5c68af0723619

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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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=sha256:5642258d8e3a340fed4984271251e58e3be9277b44999cc6f80a006cecf1f87d

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:deb2f59f64d821a3eab2f372f62ca41eac1459d5cdc11bbb041b58265ff67480

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=sha256:5209dfc3d08916cf71a8651eef6eb259c6ab41fa5e705a0523236fadb6dccb55

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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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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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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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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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=sha256:8d9e7429dc4eef1f3f11bb8e1f3f207d60aaed385ae657d4c57c262159acc57c

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=sha256:23cc8e2b3c517479e8e93500190afceae0abdf33e2afb14cef9eab6f0daa15dc

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=sha256:36eabdbb44a2b4a265faa34b8fa0bde5967ff5aeae606be26afb823064a279b3

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=sha256:2755b2183ea065d37588df4c58e8693242534bc2cb9042170e1de9d89a819975

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=sha256:5630ee4f9cb4c86c70e2fd573ea9e5e15747e4389f2f4fd87a10ce7972ea9b4d

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=sha256:977bf4732a95e2d1830309ad0075e019d59380c3cf02d4e7b984a68b1ff04d27

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:f295974fbb5c24fa53498d1d845545c5511c9fe7e1b153331a822e7fd0a6da20

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=sha256:5cec1e19886c7b3d26ba53b622141147f55982a0f3685971f99e9b58e73d7f48

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:b6c3789624a6b8ea57d51798485b187241524bee58492c0acacb23ba1bf20556

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=sha256:4eb99c4ca48cd182daaa66ff6045c23d7060b5cfb42235c46b3eb7884757b4a3

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:e9744bd1967d085dcdfaf2f5d68254e915d82b827b24498a2cd244e43d12b6ce

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:f84739c54a6b896600e613e64bafa0fb2feb3fdfb02a05c6e18cd5f8ce3d29ba

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:b40944afdb8cc99eb9316ef28fbec714a88052aeefe6c66f5bec1b0978dac284

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=sha256:9f3612a180a7c7e33a54b55d73ce46471efeb6c01947d195fad58f69842a3e92

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=sha256:82b81ca66f908d2b7655aabb5cefba08830f0df3a867bbeefb3b2335ad2df90d

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=sha256:9fbeb8fcf54abbfdf91a64bfa3035b00b305d9624ec247f72ff793304ca69b28

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=sha256:22df30ed52af159027b144735dc8b85aa950072a9412ed1f4b1715c2c380f883

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:a2643335d48c30882c747a404f7c5dc3003af0db1a801c073bb03cd235e6343e

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:ec942f08209c966fa858172bbec1bf4b59dced5f28452b7a558b4d1805dacdf1

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:cc15e659b0e2025b2b51ad0da681fad7a97e7f2571b58699ca5cdee6bd00bbd8

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=sha256:9f076e79c0eaf2668f258e13ec19c578e8830d5710e93c9b66b2789a6a4544d3

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=sha256:511a7b8377dfb1f8ea2b97eca424c8952a89bdf4eb76afec638d9728c168b697

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=sha256:14a34d4f544ec144f4ef78f3fa5f2fc4ad86152146090623150ada3350435e08

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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no resolver link, observed 2026-08-04T02:03:09.469876Z

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source=arxiv_source observed=2026-08-04T02:03:09.469876Z digest=sha256:596b63aaf7e2aa7b235f16d92ee00fb014b651d60082732179e1cbf190a88836

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=sha256:9cb1c24f228d96cd69ae9c1d29dd12e38024dd89a1b995393c4e94889f84f723

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:a0e3a2543dadd5830fd87d0834e7c8e7586622647ff3bc4d3ebe5527b2cfc2ac

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:d116c36da655ab63eb87b50e2724bbca5d3bd6f9a134cf98369b02326191490c

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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no resolver link, observed 2026-08-04T02:03:09.842357Z

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source=arxiv_source observed=2026-08-04T02:03:09.842357Z digest=sha256:74f3499527bc16edaa4ed853ec1fe01e1005263dfddca9b87fd655a94ef0d247

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=sha256:5e5150cf30e4b72c9d8f10ceb94cb161ca1b362b407590c27e4c9b26e06f38e0

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:cfef3899ca2e192340c0f85320a6b7663c74cb4c221a584334972cb01d38169c

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=sha256:7eb9bca075f316d3709ad4d0309478155644e2163a6256e8bb8055ec40bcd63c

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=sha256:58304ef60ac767c4f980f907ef8581b5fdca152de7fb4467d0afaec1a3a559aa

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-reported events for the cited work

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source=arxiv_source observed=2026-08-04T02:03:10.191688Z digest=sha256:e4351f5510d17b0b73631c6fa7dfa45bb8a0944b5a929cc5f05ca0efbdfd25c1

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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no resolver link, observed 2026-08-04T02:03:10.310169Z

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source=arxiv_source observed=2026-08-04T02:03:10.310169Z digest=sha256:02eb066bf655e7c76a5469baf009730a2a28840c7730eb6dda861eab43277363

Pith citing papers

No inbound Pith citation observations are available.