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Paper Citation Record · LEDGER

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching

As of 17 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 1 inbound Pith citation observation for arXiv:2506.13594.

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

pith.paper-citation-record.v1
2506.13594 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:05:27.991086Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:12:44.016249Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T12:14:39.441336Z

Reference resolution

76 of 76 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved40
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf1e8559-b54e-4cb1-b156-26ba6db6cd24 · outbound

This paper cites Self-rectifying diffu- sion sampling with perturbed-attention guidance.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Self-rectifying diffu- sion sampling with perturbed-attention guidance

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.414593Z digest=sha256:03f928c847458d17882c17d29e130ac97dcdac94a5189cab02cb2d1123201628

Observation 74caa0ea-40dc-4313-91a7-0de53342ba24 · outbound

This paper cites Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.420985Z digest=sha256:80bcd4f4ffb96cb685ae86019894678e8091db7765589f8b3edcbfe82f6a7ee9

Observation 3b028adc-76e0-42ad-aa42-6444350aa333 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.427059Z digest=sha256:1e77a5c08b37a5d5aa88437a7ed2727f5f314224793c90a5cc615175f927c6c5

Observation d86a57bf-afa6-4b72-9019-b5cb47e8251c · outbound

This paper cites Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.433190Z digest=sha256:c259c8785107d4486f1823b10f9679826879f64f7b456c94628de00d1f796033

Observation 9613040f-4548-4b24-9321-03b0ee0bcbef · outbound

This paper cites Consistency Models Made Easy.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Consistency Models Made Easy

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.437997Z digest=sha256:0543a3af0206f998099e8e726b81f73e1b202bb38ac4427786cae0e5521cb005

Observation 2d3a7300-b57a-4f3a-8238-16c6ad4f19e0 · outbound

This paper cites threestudio: A unified framework for 3d content generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching threestudio: A unified framework for 3d content generation

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.443130Z digest=sha256:a216f82e69319e2e3ae7800bae9fd4a2c6ce499687dcb48d91eae2bb8108a862

Observation 5610f376-be98-460e-ac65-190b47d7d1dd · outbound

This paper cites Classifier-Free Diffusion Guidance.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Classifier-Free Diffusion Guidance

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.449038Z digest=sha256:ab1bf220043d35ed6788ec895c957de5a0567ef760c7dcc409123a9b18bdfc3c

Observation fefc1adf-aba3-466e-8d62-f086b6e59bbf · outbound

This paper cites Denoising diffu- sion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Denoising diffu- sion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.454566Z digest=sha256:17072ab2229fb761f27aab899cbaa5068e36e3d737601b6cb11984befe3231d3

Observation 8b2bae0a-72d7-481f-a0ef-0af6fb37db90 · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching LRM: Large Reconstruction Model for Single Image to 3D

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.459909Z digest=sha256:6acef77970f5140a0725d19d11e95f813f6be6b3f8af09250468742f30e4afc4

Observation 742a8687-619e-42ff-af40-d328b5d89303 · outbound

This paper cites Turbo3D: Ultra-fast Text-to-3D Generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Turbo3D: Ultra-fast Text-to-3D Generation

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.464789Z digest=sha256:5a008d0f7e5f95f5ab674fbd9f73b2345f85630653d96e9e1f9d9921fce4ab96

Observation 798ace86-0ba7-4d01-8400-be8869927298 · outbound

This paper cites Dreamtime: An improved optimization strategy for diffusion-guided 3d generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Dreamtime: An improved optimization strategy for diffusion-guided 3d generation

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.471851Z digest=sha256:e71454c0f4eb901533e949eb37ad445603e6aa8fa202f5f6bdd423b24e129df6

Observation ed46c12c-ccd2-4016-972d-cb6914eb7db4 · outbound

This paper cites Flow Generator Matching.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Flow Generator Matching

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.478074Z digest=sha256:2170cb146ffd1aa5ffed1c75f3309813d81af97f7d4ca980359ef377b698a04b

Observation 1898b411-7ea4-46e3-818c-5af02504d5de · outbound

This paper cites Zero-shot text-guided object generation with dream fields.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Zero-shot text-guided object generation with dream fields

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.483268Z digest=sha256:9ae47d129ca80c8a99bb6dc30405824b28e838baec9ce3a794802c94e094a71c

Observation b197fb3f-185c-4b3a-8f42-2dafb0331e43 · outbound

This paper cites Guiding a diffu- sion model with a bad version of itself.Advances in Neural Information Processing Systems, 37:52996–53021, 2024.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Guiding a diffu- sion model with a bad version of itself.Advances in Neural Information Processing Systems, 37:52996–53021, 2024

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.488235Z digest=sha256:f374417c7714ff684112e03a7a7d07bc9afc31db9b522fef92b179d6dfe96191

Observation bb59382f-42ab-4a90-a573-f73cddd7a39b · outbound

This paper cites Noise-free score distillation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Noise-free score distillation

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.493960Z digest=sha256:b5af30c0ad84b67b597ebdff8f0c1e64ee4a536c54712bc224cd0bf21262b898

Observation 51bd66c1-33bb-4963-a065-13ba38f94c6c · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.499019Z digest=sha256:82d9ab2e2b36265fd69beca4ba2750412772b451dcca8a669e1f47ed74b9c98c

Observation 602d66d7-c190-42a8-b5d0-1dae556f5d8a · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.Advances in Neural Information Processing Systems, 36:36652–36663,.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Pick-a-pic: An open dataset of user preferences for text-to-image generation.Advances in Neural Information Processing Systems, 36:36652–36663,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.505981Z digest=sha256:b333771033569cc95fdd96ae3aaa9486b06d0ca321b79b6287d77cd7bad1bebd

Observation 528bbee8-4e14-4879-835f-eb6aa7b1a2f9 · outbound

This paper cites Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model

Reference 18

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:27.511255Z digest=sha256:67163cdabb7f4b6837cc7bfa87c911cebd9dabd3ff9b4251c62928e901ba703b

Observation f2debaf5-e230-495f-b568-ee95f531b447 · outbound

This paper cites Self-guidance: Boosting flow and diffusion generation on their own.arXiv preprint arXiv:2412.05827,.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Self-guidance: Boosting flow and diffusion generation on their own.arXiv preprint arXiv:2412.05827,

Reference 19

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source=pdf_text observed=2026-08-15T20:05:27.516947Z digest=sha256:a8e78ae57b528de337f6b25be6c7649d48af3393b57e4e42b2789879ca5ed381

Observation 5d5f8c2c-fb28-404d-9ad9-36047256efbd · outbound

This paper cites LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching

Reference 20

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source=pdf_text observed=2026-08-15T20:05:27.523052Z digest=sha256:79b7e3b188816999f55b2231ebeb4e3ccfe26ca3d0d6c0492a9157d2cf335b00

Observation d7f192e8-b8df-49c9-8a50-174c9d20fb85 · outbound

This paper cites Magic3d: High-resolution text- to-3d content creation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Magic3d: High-resolution text- to-3d content creation

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.529312Z digest=sha256:12864f9045f80cabcbecb1d499abcfffd03ea88448d562edd9cbb0e92e464995

Observation ec285faf-6f08-4518-b63d-6dbac4b9227e · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 22

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source=pdf_text observed=2026-08-15T20:05:27.535143Z digest=sha256:ef4edff618b59f3d352385fa10776eeda61bf97962fcce1813c7d067d093b0af

Observation c2ec5fd8-ecb6-40c8-8b16-3fd76768c0ce · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Zero-1-to-3: Zero-shot one image to 3d object

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.542119Z digest=sha256:61bcc2fd882fa7254e6f2e10a6d7b782bc4c6ebc71c18259a2a0a021181e3c4a

Observation 473ffa8c-d5be-4c5f-b394-549836676939 · outbound

This paper cites Syncdreamer: Gener- ating multiview-consistent images from a single-view image.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Syncdreamer: Gener- ating multiview-consistent images from a single-view image

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.547469Z digest=sha256:9204e22f74b7a4003973bf9b0d394d8e15996162b75a27e12c02d79417056d7c

Observation 0f6f558a-9f3c-4bd4-9db3-46a6ca60f97a · outbound

This paper cites Wonder3D: Single Image to 3D using Cross-Domain Diffusion.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Wonder3D: Single Image to 3D using Cross-Domain Diffusion

Reference 25

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:27.553112Z digest=sha256:6c2cf5c049ea9bbc089740390f474c82549b7580d864d40b3ad8ab0d57c2d023

Observation 1c3eb4db-ee69-4213-ad80-7daad12b60a6 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.559299Z digest=sha256:438b022f4a9326e3aed73c3b1be65ca5d6c02bec6767c75ae5022569ded67ed5

Observation d9b8c454-8b36-4b2d-a7c4-b6dab29e578b · outbound

This paper cites A Comprehensive Survey on Knowledge Distillation of Diffusion Models.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching A Comprehensive Survey on Knowledge Distillation of Diffusion Models

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.566122Z digest=sha256:4dc6fe7205df12fb5e3f4a7bb653432039d8fb091e2b253a37432821c5f952a7

Observation 786dc3c8-e12c-480e-9456-ac56dd25bcd4 · outbound

This paper cites Diff-instruct: A universal ap- proach for transferring knowledge from pre-trained diffusion models.Advances in Neural Information Processing Systems, 36:76525–76546, 2023.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Diff-instruct: A universal ap- proach for transferring knowledge from pre-trained diffusion models.Advances in Neural Information Processing Systems, 36:76525–76546, 2023

Reference 28

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raw_fallback, observed 2026-08-15T20:05:29.177664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.576704Z digest=sha256:a7dfd63f413455affc08612d8ba7b29ac31f507b95e372e2733d6f34488a1986

Observation 3dd311e9-6de1-4b2e-a909-e75e9d74b7c8 · outbound

This paper cites Entropy-based training methods for scalable neural implicit samplers.Ad- vances in Neural Information Processing Systems, 36:7137– 7157, 2023.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Entropy-based training methods for scalable neural implicit samplers.Ad- vances in Neural Information Processing Systems, 36:7137– 7157, 2023

Reference 29

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raw_fallback, observed 2026-08-15T20:05:29.160184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.582741Z digest=sha256:b1f27e05993bc2e97d4758795ff6495ca4d4d7fec6be0986e947d26858eb3911

Observation ed467579-faf1-4b0d-8c01-342b4d8bef97 · outbound

This paper cites Diff-instruct: A universal ap- proach for transferring knowledge from pre-trained diffusion models.Advances in Neural Information Processing Systems, 36, 2024.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Diff-instruct: A universal ap- proach for transferring knowledge from pre-trained diffusion models.Advances in Neural Information Processing Systems, 36, 2024

Reference 30

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raw_fallback, observed 2026-08-15T20:05:29.144456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.587645Z digest=sha256:2f95200cad7262d0573be5bf79802f8e7425aeb9f17d3bcf2532201cfcf78a34

Observation 0523b068-67f3-42a5-aaf9-930fa0f6fc8c · outbound

This paper cites One-step diffusion distillation through score implicit matching.Advances in Neural Information Process- ing Systems, 37:115377–115408, 2024.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching One-step diffusion distillation through score implicit matching.Advances in Neural Information Process- ing Systems, 37:115377–115408, 2024

Reference 31

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raw_fallback, observed 2026-08-15T20:05:29.126781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.593882Z digest=sha256:6089b7a24426f41622d4f02d46243b28257d31f9fadb71295463f388b6af79be

Observation 6045c060-f4d5-4bbd-a12a-74b87b69b0ad · outbound

This paper cites David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.604040Z digest=sha256:693c82452c204b1fdf13190397c77e21a463e8f0a6e40c55e8a1f63ed16b313c

Observation bde0f3cf-9ab3-475e-bff0-047257600e63 · outbound

This paper cites One-step diffusion distillation through score implicit matching.Advances in Neural Information Process- ing Systems, 37:115377–115408, 2025.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching One-step diffusion distillation through score implicit matching.Advances in Neural Information Process- ing Systems, 37:115377–115408, 2025

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.610966Z digest=sha256:b8b085c739f2b394d3c4f24c3f3bbcaed84232696aca8bbae68d4c9c256acff5

Observation 64366966-2f96-48e5-91f8-ca203aa34b05 · outbound

This paper cites GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.619330Z digest=sha256:0c1e9a98ed0be06e52bbe14766af84a92b3cdfd330b27b00e52200ba2497307c

Observation b2ef1d43-f4d7-437b-a0a5-594a3ef29d96 · outbound

This paper cites X- mesh: Towards fast and accurate text-driven 3d stylization via dynamic textual guidance.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching X- mesh: Towards fast and accurate text-driven 3d stylization via dynamic textual guidance

Reference 35

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raw_fallback, observed 2026-08-15T20:05:29.090919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.632066Z digest=sha256:196a9750eb2ff6abae7b2c55b9406cb78bd3127bdaf31507eb95a48f82214b53

Observation bb8d5d56-c142-4ed5-acba-25d000352c4e · outbound

This paper cites Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.638666Z digest=sha256:17e1ee70fa79a0f683d5a6bc2e4818323962c1f336104b32251cad712fb1b3c9

Observation 4a9be151-da5c-41e6-8d17-9aaedcc63430 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.646699Z digest=sha256:f56510117c20431f9083e38896ef33bfdc2c0534afb5ac76b1083020c8edcc6c

Observation 17b391ed-c94e-46a1-8089-63e2c54f214c · outbound

This paper cites Clip-mesh: Generating textured meshes from text using pretrained image-text models.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Clip-mesh: Generating textured meshes from text using pretrained image-text models

Reference 38

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raw_fallback, observed 2026-08-15T20:05:29.060519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.652622Z digest=sha256:8329882d92a06cafef7b74fafb8ffd613042673837dfc3263018660d3f17b058

Observation d842a211-dfb1-47e3-85e1-b9e62ea0c39c · outbound

This paper cites Ava: A large-scale database for aesthetic visual analysis.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Ava: A large-scale database for aesthetic visual analysis

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.662195Z digest=sha256:192e120395d1f5cb8b81235b431f2ce577087d1777d621f689b792002a720bc8

Observation 9c5d8793-2219-4958-83ae-d7705ffbb005 · outbound

This paper cites Diffusion Models for Adversarial Purification.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Diffusion Models for Adversarial Purification

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.670364Z digest=sha256:88f656fc6adf29d6e0d159c62905e3db9727a11aa7f114be8f169de49426910e

Observation e362aafa-4fb2-4970-acc1-716b999add28 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching DreamFusion: Text-to-3D using 2D Diffusion

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.676417Z digest=sha256:3c46fc1f8929f9ca2dfc8e5e73ede98a9baced16269e31523a9174a624b7a6b0

Observation 3d1dd9e1-d899-43de-9e08-49be8ff70d15 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Learning transferable visual models from natural language supervi- sion

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.682331Z digest=sha256:23f3ec6a84f3911f69ccd66263eafb0af978304972c2ad0a0395f70ddbd5c6b4

Observation b5b8f3fe-24d3-4530-a2b7-3cdecd58d0d3 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.701469Z digest=sha256:b2482ba27b9890685e3b46079784ad8ccfaa6f05a018d196b55171e1e9dae820

Observation e0f71a76-0fd7-4a6a-804a-4594cba5ff78 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching High-resolution image synthesis with latent diffusion models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:29.016832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.707180Z digest=sha256:0436b94c0c377f31d57a13f478b7b1554b4d2eab5de1b3a253e15c5a662b0f0b

Observation 9741cd4b-0480-4bac-98d6-5816d3d711d7 · outbound

This paper cites Pho- torealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Pho- torealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.712403Z digest=sha256:6550aa1cd15b9d1b9383fcbf8be8ae37f931c75058ebfb0a8970499c18d0ec1d

Observation 670e2279-ae05-4f5b-b2a0-93ff9ccb44d5 · outbound

This paper cites Clip-forge: Towards zero-shot text-to-shape generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Clip-forge: Towards zero-shot text-to-shape generation

Reference 46

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raw_fallback, observed 2026-08-15T20:05:28.987288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.718315Z digest=sha256:068b3d0f39e8e93aeeae5b0eafec22cc8efbb7782feeefa4ad1680f0efa1628b

Observation a6d7c181-96cc-4c21-86a6-cab8476a7158 · outbound

This paper cites Clip-sculptor: Zero-shot generation of high-fidelity and diverse shapes from natural language.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Clip-sculptor: Zero-shot generation of high-fidelity and diverse shapes from natural language

Reference 47

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raw_fallback, observed 2026-08-15T20:05:28.969309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.724422Z digest=sha256:17d29d247315050d12af85926e08280a41ee9dc34010a66cc0bbe827b8c0c0a0

Observation 32cc6a87-c108-4b23-b812-c9cbe6632752 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching MVDream: Multi-view Diffusion for 3D Generation

Reference 48

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:27.729747Z digest=sha256:bd500ca28265cda55ed35c40e61df31e5b9fdca16429e6ecbc9ea28b96383f65

Observation 5de0fbad-e23d-493a-b06c-bc1aa1305c4f · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Deep unsupervised learning using nonequilibrium thermodynamics

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.734718Z digest=sha256:a3334cff710d537b6a2cd49459fc4b4ba84713df15b406272beb8c9f4d83860b

Observation e98a9dba-5d07-4efe-ae55-274301992781 · outbound

This paper cites Denoising Diffusion Implicit Models.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Denoising Diffusion Implicit Models

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.739278Z digest=sha256:5663c2e29f9ba84fd12ac5847505f338e37ce8d689a30c7777980297e28b0718

Observation 0692f6e2-5d0b-4ac0-a2b1-ff0d52ad2eb8 · outbound

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

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Score-Based Generative Modeling through Stochastic Differential Equations

Reference 51

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source=pdf_text observed=2026-08-15T20:05:27.744777Z digest=sha256:20b37ab0b4c47e8913748795475fbb232a6a7a90250b2de735d26f172cae4974

Observation 00be6040-1eae-4f58-8dce-cd91c44f1181 · outbound

This paper cites Stable Score Distillation for High-Quality 3D Generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Stable Score Distillation for High-Quality 3D Generation

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:27.749629Z digest=sha256:c449a90aef11a98a2995b6803aa731310489bd88ebee68e8cbcdeca2eb579e4d

Observation 798216f7-f0e9-4e2e-9ab9-4146e8f1217d · outbound

This paper cites DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 53

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:27.754791Z digest=sha256:773710c9d52cf84f58328125f4499f8b199faea84a4964059f139c0553fa1fdf

Observation 2cf18b2f-cc0e-4f8a-b37f-bc42d755566b · outbound

This paper cites A connection between score matching and denoising autoencoders.Neural computation, 23(7):1661– 1674, 2011.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching A connection between score matching and denoising autoencoders.Neural computation, 23(7):1661– 1674, 2011

Reference 54

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raw_fallback, observed 2026-08-15T20:05:28.942341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.760489Z digest=sha256:4107174fcca8258daf5f23e6db19e444b4efa9ad34283d7ea882c0b7b58ab0fa

Observation a7a94cfc-46d4-461f-b70e-42ecf796abcf · outbound

This paper cites Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation

Reference 55

Resolution
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raw_fallback, observed 2026-08-15T20:05:28.925219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.765238Z digest=sha256:33946b0e049c9fdd266b1eb646b776f54bedf30a78979fcceb01aae0f232ec13

Observation be834ea3-3ce8-42ea-8b3c-10e37ba53c45 · outbound

This paper cites ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.770367Z digest=sha256:137e3362055b685eaa381023faa7917abbb7b2271f129d8ab7461b38c98b4b72

Observation 286dfd07-d743-42ea-988f-c135aa67fef6 · outbound

This paper cites Taming Mode Collapse in Score Distillation for Text-to-3D Generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Taming Mode Collapse in Score Distillation for Text-to-3D Generation

Reference 57

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:27.775158Z digest=sha256:095b8805ea9c16d921c666fa1b947c2e089f6349906e149586daf3ee5ad444f4

Observation db73b764-6bf0-4a55-b6cc-6787d955bf7a · outbound

This paper cites ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.779825Z digest=sha256:5727ed15d0fbe156fd872858c45e30d3b5060875ed1d9e88b38d053c6b5fb8ba

Observation 255f60b3-c067-4de5-a216-78d6e1181bc6 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in Neural Information Processing Systems, 36,.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in Neural Information Processing Systems, 36,

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.901681Z digest=sha256:63aea49a58e8a150f4c8de8347e1ee88363e313ffa367546b49040c88d736a47

Observation 372c4821-fc10-4828-b876-6b34239febbd · outbound

This paper cites Consistent123: Improve Consistency for One Image to 3D Object Synthesis.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Consistent123: Improve Consistency for One Image to 3D Object Synthesis

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.907229Z digest=sha256:0b5d0e44154d39d7d0235bc3c574f6f2cb8f62f67a099a470e1f84365667b1b4

Observation 49fbce4c-e5d2-4704-a65e-44b179628455 · outbound

This paper cites Gpt-4v (ision) is a human-aligned evaluator for text-to-3d generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Gpt-4v (ision) is a human-aligned evaluator for text-to-3d generation

Reference 61

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raw_fallback, observed 2026-08-15T20:05:28.897926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.912671Z digest=sha256:fc74bffd6d86e82de2effd75cc40eb08f6b2b3f97b430063ba9fc269c274a70d

Observation 8aaa1d3d-898b-4d8d-8704-06b0c23d8b21 · outbound

This paper cites Consistent3d: Towards consistent high-fidelity text-to-3d generation with deterministic sampling prior.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Consistent3d: Towards consistent high-fidelity text-to-3d generation with deterministic sampling prior

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.918129Z digest=sha256:28c920ea9d93ad0d55ff2e7e0fe541c5a6b8245eb62b2e534316cc3929b850b8

Observation ef2412c3-2746-4818-8bd8-d569322641ea · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.Advances in Neural Information Processing Sys- tems, 36:15903–15935, 2023.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Imagereward: Learning and evaluating human preferences for text-to-image generation.Advances in Neural Information Processing Sys- tems, 36:15903–15935, 2023

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:28.870422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.923273Z digest=sha256:0275a0a789c1813847d11f77ee1fd8c0429b6df3240f255ace258a1cc259498e

Observation 02348040-9ced-4c59-8e23-95e805b3866a · outbound

This paper cites Sa-solver: Stochastic adams solver for fast sampling of diffusion mod- els.Advances in Neural Information Processing Systems, 36: 77632–77674, 2023.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Sa-solver: Stochastic adams solver for fast sampling of diffusion mod- els.Advances in Neural Information Processing Systems, 36: 77632–77674, 2023

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-15T20:05:28.854861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.929119Z digest=sha256:495909e211d1ba21bde5a4adf882e6ad378448485b2a3627258e5d50d7e4f4a2

Observation 605fccc5-6e02-45b1-8d71-124ccf6db8f4 · outbound

This paper cites Flow score distilla- tion for diverse text-to-3d generation, 2024.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Flow score distilla- tion for diverse text-to-3d generation, 2024

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:28.839285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.934728Z digest=sha256:9e1c2ba5921704355574cf6eacffff3ec6613e4358a480aed113d2d3256d6d77

Observation 117343d1-e47d-41e8-9d17-e3a30e77dbd9 · outbound

This paper cites Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.939933Z digest=sha256:8f39e86990f993b545cfc8a4b90bcd62d7cf0e76bbe053b87b537f366f9b2808

Observation 04465301-7578-4e32-93fd-7b5b14453ab2 · outbound

This paper cites Dreamre- ward: Text-to-3d generation with human preference, 2024.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Dreamre- ward: Text-to-3d generation with human preference, 2024

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:28.823483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.947080Z digest=sha256:44c899701ec4b0e5cb9bae0f1109a9b674cf3ccd22cbfa2477506d825b573724

Observation baf5bb25-af32-4566-b2a7-cb068b7c518f · outbound

This paper cites Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:28.805285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.951744Z digest=sha256:b58dad2db2a2a75a65ae00b5e0e06c66636fb2312f8363fe96bfe681b9d6a798

Observation 2e19805b-882e-41f3-a3b0-4083dd4cc3ce · outbound

This paper cites One-step diffusion with distribution matching distillation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching One-step diffusion with distribution matching distillation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:28.788210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.956840Z digest=sha256:abba107ee7afbebfc2de4cfa0e01b07888ba88cf4ff0a3d945939e4ce1c93f99

Observation 157dc906-07ee-4991-bf59-25def720dd42 · outbound

This paper cites Text-to-3d with classifier score distillation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Text-to-3d with classifier score distillation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:28.773008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.961652Z digest=sha256:263bd39534a8682a1029555dbe3a931a6935ad729e0eafd3bcea0aa5d2c90c86

Observation 494f4bbd-1652-4f17-8275-429d43e97285 · outbound

This paper cites Enhancing ad- versarial robustness via score-based optimization.Advances in Neural Information Processing Systems, 36:51810–51829,.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Enhancing ad- versarial robustness via score-based optimization.Advances in Neural Information Processing Systems, 36:51810–51829,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:28.756480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.966443Z digest=sha256:9699718329bde85b3ea5466f220702ec6135d2e96f038ef9dee37a7646b8fed0

Observation 19957767-2d8f-4ac3-bad1-d844bd6041ab · outbound

This paper cites Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:27.971543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.971543Z digest=sha256:52f6207e879b23ffd7685d815f5002173e507657474ab61e5c012513a8ce4e9b

Observation c3d87cce-6ec8-45fd-91d2-84c70cdd3252 · outbound

This paper cites Fast Sampling of Diffusion Models with Exponential Integrator.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Fast Sampling of Diffusion Models with Exponential Integrator

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:27.976370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.976370Z digest=sha256:cc7296fb44cbdf84329f5c466145aed8a6e5146f04e55aef876d5155407c63b6

Observation 76cdc699-820a-4c2e-a9e2-055ed9630ab2 · outbound

This paper cites Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:27.981326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.981326Z digest=sha256:0326d73c61335af481dc35481492dac87885e92f7936854f48a6f78f974078b9

Observation b82833af-0d27-45a2-a250-6555179ea757 · outbound

This paper cites Score identity distillation: Exponentially fast distillation of pretrained diffusion models for one-step generation.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching Score identity distillation: Exponentially fast distillation of pretrained diffusion models for one-step generation

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:28.740907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.986318Z digest=sha256:003194d97be7b677e91363852e5c84bf0f67755f4e3a87745e551aa64ab4cbb3

Observation 889bf7bb-9339-4996-802d-ec8fd3722c92 · outbound

This paper cites HIFA: High- fidelity text-to-3d generation with advanced diffusion guid- ance.

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching HIFA: High- fidelity text-to-3d generation with advanced diffusion guid- ance

Reference 76

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T20:05:28.722227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:05:27.991086Z digest=sha256:91868e88ebc7fc46bb2f7d7ad8aae4b8d4b87d8fb187330986559b3bd7ce268f

Pith citing papers

Observation e62e73a4-58f5-48ca-88ad-e60797c7ae40 · inbound

Unbiased Diffusion Variational Inversion via Principled Posterior Matching cites this paper.

Unbiased Diffusion Variational Inversion via Principled Posterior Matching Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:14:39.443076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T12:12:44.016249Z digest=sha256:8868cda46cc33de1b559f8da9c45dd343ade475b6f40894abc41c7351f2666fe