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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.414593Z digest=sha256:3cf74c4c38a7aca755b5461cc1740ba2b241b7b617bdd2938d077f94b58c63ae

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=sha256:7faf33623ef60a934b6119532e463ca7106274769bdbc8a267d2e03cf3018146

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=sha256:5f3d1e88853039b62f7623e916b496b2e2aa3d5eb55342be029dfb046b57db4e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.433190Z digest=sha256:d4be5c55a56c54ed90c14606afd4e1ec825378a06be83379cd061016d2019161

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=sha256:1c61d88a631d534607e66eb88944ef2bb51e644fe75dd1a1f3d63592fd35fc6a

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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raw_fallback, observed 2026-08-15T20:05:29.359755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.443130Z digest=sha256:f1424d93bfc544ce1feb3fb6256aa3aaf465103a75feeb049d1deeac8cade93c

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:ba475b27a5cb9c262d24ec98c752c86f741f0b48349be170a6685fa0e2014914

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:b3fc6c8ea404f75b039f6b413c91711c8d7b1b16279e5024604e6a5ea3fd17bd

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=sha256:495ce94b66f1dcafdafb611a57a3e68319ec2a66a12972f69aa3c699ab47adc4

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.464789Z digest=sha256:16d20764fcdf1e61662cf11602c9d27121eb7a5492d2bd960b81a7bcee5c6c56

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.471851Z digest=sha256:fb961101c28aae5740fd7679758804c3c3285a33919b26e3ebeb45dcc0ce322f

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=sha256:92020225ac3edd10d61e19ad9330b01134ce22f205815b4b4190bcc82aeb8633

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.483268Z digest=sha256:c73d3bc21725986e92df708f51b5f45b9fbac4067f7f3ed3559810097c2d973d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.488235Z digest=sha256:60baa01a64413e1908f1b2f46aed7dad3cd2c152fffcc5add68616fb9b7abda3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.493960Z digest=sha256:e14e8750b6c1b6db78568b1f1f19bdf0f3d94a8085406528fe24bc524bc70cf4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.499019Z digest=sha256:6d6b57e19eb27bbb50145179ca848b3d414d0bd0bc14a52de42f1c200f9b2d22

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.505981Z digest=sha256:00db5ec72187fc72aeeb5b221699d822ed5cd1d6e545d0c6ba3f874912a86174

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.511255Z digest=sha256:8d05e5bfca03a5c50b121ead068998e2bfbeca6a6631b179988558aa51dfb561

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.516947Z digest=sha256:b13207a430a8b4f954abbc5e9cbba1af3b4c8d7f093fec62f9eb3faa5631ff4a

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:a4dd41066c51a2dcb37409a8c3cf9cf416b60da26ad6bc7388e3b9cf82a78ce6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.529312Z digest=sha256:3bf80b49f3f0e17e723216aa9a65c878723654671bea302e22ac2cce9f3e070a

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=sha256:7b9022bf6c00b916937c0d6ef803c7b1fb44e086b5a56c4d95be153a5ec50e6c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.542119Z digest=sha256:401d6b86164ce32593a5a77c83eeafb4377ac25175704b46212e32ba85caafee

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.547469Z digest=sha256:52e1f2cf20a94742b429c19e0bbfd825b11d705e06ccfd60cee5e7ed2c5e854d

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.553112Z digest=sha256:cce02c2a249d9465bc56b9ab6ce94b199d3d9689ba6103a87e734be28bf2d540

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.559299Z digest=sha256:36ec4d735a310339f9d905673eaba2e130a1cc1886ea5835a1e46f051832909e

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=sha256:2cc30a53024960f0cdb8b268cd2ffb2792c8db54e3ec7fad076fe4b409210e54

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.576704Z digest=sha256:737163387bd85d57cf855dfe288717d2ffbf2229e608553f0abd8ab8ccffa64f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.582741Z digest=sha256:9a6fe0ef56314225dfa563a47f1a33ed1f46e3234b0eeb0e839d09c2fd92095b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.587645Z digest=sha256:077c3d6bc1569b63b2de0f9c03e5170fec8dbf631b7e4858b3450c461ff059d1

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.593882Z digest=sha256:7e58d44074900e550f4e261cfbaef79df0ed9abe34b2ee53e448ef0ed3bbe19a

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:cc893775ace9b1833c0b59ef9d857776c4db5469ee679d9b39ef06e012d513a5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.610966Z digest=sha256:7d7786f37c04783e43f6e357b0cdf6cd996b9520646966c244128046647200e7

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=sha256:7feb40cfbdc449ca7684a17cd98001050f51c752d90496f98762185754c8689e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.632066Z digest=sha256:7c963961eec672bcc22053edd90ecbc86131aeebcdeb992a69a7c783ce8f889e

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:b05a08ad772c47042c13a8b7fa2d40752d78d6f864b33fd9f10cd9bff8857b84

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=sha256:99f7e391b84f4a6c89a113312ffbd3d8473cc23cd37a63c32fda7fbb498ec25d

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.652622Z digest=sha256:41ebe5fe9d930c8e440a40e9edaa33264d3c89bfd4bbe3d1e379492cd8acf6e5

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:bf22130501f0a77888ba7a0b441237072463495f63bb7cd53b787e7322c0a717

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:a921500e4d43a5d6cfdb3fb9f8118342f79525f3f43f8f6915655a192472c17d

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:cb2904de0b09dc0c74596c395afe99818541507c1f3116ecd4aa64d28c2cf110

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:f53b70fd82d2310a30b33dcf80f9d9469453bd52d8366c520daa9ea6f0467c28

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

Resolution
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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:bc95d4ad834bccdb2d5a64207f518631c7ad35e9ee4e2613e575f418ea89c9b9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.707180Z digest=sha256:6e90f1ed68f8370931cd324800eb732d09679c2d0cf32c35da398bd8520be045

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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no resolver link, observed 2026-08-15T20:05:27.712403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.712403Z digest=sha256:dd2039d4e4a19b034539c9ae9de6ab8a76c3e6da3724a0ffa08c2255a063581d

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.718315Z digest=sha256:6b55abbf1921fc6d9e4d974fcd06e2da550f65b5b70e362db292dba338f6fb04

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

Resolution
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.724422Z digest=sha256:2f685b1de0c7d1cb777c3ec4a5ece0b478ce56b24871a6971adb029010dc8d48

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.729747Z digest=sha256:e5a0fe4a30cd1b89189492cd5bd8fd17c9fe15823b59b2c247fcfc3474deee6a

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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no resolver link, observed 2026-08-15T20:05:27.734718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.734718Z digest=sha256:2182711d5298efd2e0ee8aff9ce62e1aff99404de3c700deb3355764fa187799

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

Resolution
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no resolver link, observed 2026-08-15T20:05:27.739278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.739278Z digest=sha256:6f2f7ac3c979ae505898208178e46e9267e1b0065fc6c78f2a8106d3aad2248d

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.744777Z digest=sha256:43b5ec60d5a293a2786f4aa2c6c0ab31c2876041441cd8756b1ae3306cd7d127

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.749629Z digest=sha256:20484313eec02e61bc72a4a0fb0a004b208effb476690131ff11ea012b0444c3

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.754791Z digest=sha256:49179932a671cf4cb53de8c6e39ffe6f9d260359f59f4995e673ebc3b3b8654c

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

Resolution
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.760489Z digest=sha256:a1f91b34a7fa32cc68c7b3b8588d369f02194a6a0d94bd00a9127a2d95dbd13c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.765238Z digest=sha256:0d2709450ec8703f298f36f55713bc17da4700b342e602a8925c3e89c14e0226

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

Resolution
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no resolver link, observed 2026-08-15T20:05:27.770367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.770367Z digest=sha256:71727bba21b958ac750be77651c2974c4b8165de1160336b060c7f5ecccaf75f

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

Resolution
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no resolver link, observed 2026-08-15T20:05:27.775158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:27.775158Z digest=sha256:f1a747188dea06e09d2b206166e7313c6911c20e4239d6aa0fe39063acf2780a

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=sha256:371dd088ee61cacef439812073494984702e879bd1f87ecd11403fd3f470d506

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=sha256:183ac3db29d318ee14e8f367a0aa1dac1e83bcce7803df37ab300a4f918d55f4

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

Resolution
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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:a755cbba7a176274a47183f0817ccbccbf015fb9ba5d44c06c77f95426d8d3c4

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.912671Z digest=sha256:5f1d019f1feeca0fe513fdace779bae50858f664d5c73e823bf68db93b284e1e

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=sha256:1a6bdf73b436814f3dc2d5c7205b073cb623a3b233004f7c83e07c48d6fd0ebd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.923273Z digest=sha256:0d2444154d17b7db509e4e00ec41229b5c5070e385a55f72d58e8f94ecabcb71

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.929119Z digest=sha256:e1377edd00276b9c7c24aea6d1f2ff35b44d6412ff47fe0adeff5bdb896a9800

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.934728Z digest=sha256:97870fba0082b2188cbddaaa4b6c46f9a59514357809ba69c3cf3f20d62983e6

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:c03a7acb08a3b3e0cb6a2277f34faccb510a171ce06846dbc911b5ae151e7fff

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.947080Z digest=sha256:0e983bd8a6b897dcb7761bc525522a31d430d1f17178fcd40c12782c10fab005

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.951744Z digest=sha256:01d57ba7b3641fe39b72f4a42a0f7ae9e05735c1d8708758d7462cd5b3d47ecc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.956840Z digest=sha256:5af80f324dfc9bb5ba227416efd8d69d3a61af68dfac59a1807fdfb3bd1587cd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.961652Z digest=sha256:3015851c8657fbc67690748314be68069d02be97235018b7f5c0c9f3b57f9d01

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.966443Z digest=sha256:9666305cb4f7e3a3af2f1b6554486f2a6295a38ccbb3fb940bc16bd4e8a898dc

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=sha256:97a53e4da025c26c02a7ee7f68f8a8a5534f2415685694f8a21eb7f2c38ee97f

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:e99795dd03edef83c14e9bd717ad112d8c2fab640424a5ddf256c222b1aebed6

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=sha256:941237ceba9b80eb7872f8d43333ae374002607107095ad9fcb2a98d5b7aafb7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.986318Z digest=sha256:bb88c01ae3132e4c3582c1eb2c474efb5bba31c567bff58bd6f52061e0089d8f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:05:27.991086Z digest=sha256:449cc5cd49ab809694c7a431e620f75a80c4cbfca117c4dadfbd1277025bdd63

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T12:12:44.016249Z digest=sha256:ecd00983c7f81faa1a1ab71608ddf2101efb5f8496def0e83cc863cef96e6661