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Paper Citation Record · LEDGER

Rethinking Score Distilling Sampling for 3D Editing and Generation

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 3 inbound Pith citation observations for arXiv:2505.01888.

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

pith.paper-citation-record.v1
2505.01888 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:13:15.899419Z

measured 36 of 36 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:38:08.087795Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:43:59.067739Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86b9e271-fc1c-4468-a913-205d3c4402bb · outbound

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

Rethinking Score Distilling Sampling for 3D Editing and Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:15.761470Z digest=sha256:f3520beea063a669bd4c2144a603dccd013d7b1d16a57a35c0cb13710aa1df31

Observation f073097f-4833-44c7-868f-e8d33fb37fc5 · outbound

This paper cites Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model.

Rethinking Score Distilling Sampling for 3D Editing and Generation Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model

Reference 3

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source=pdf_text observed=2026-08-16T04:13:15.771340Z digest=sha256:4f4e0b739e87ae1b554eb54aa6febcbd351850149854c246b054ef933ca431a3

Observation d9eca324-9924-4f92-98d7-f2ff99bee6fc · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Rethinking Score Distilling Sampling for 3D Editing and Generation Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 4

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Observation f174012a-c209-4853-9201-896942378fcf · outbound

This paper cites Classifier-Free Diffusion Guidance.

Rethinking Score Distilling Sampling for 3D Editing and Generation Classifier-Free Diffusion Guidance

Reference 5

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source=pdf_text observed=2026-08-16T04:13:15.780173Z digest=sha256:5033f028e6e6360cb047bedc69a63e4dc21a7a865d803edadc3b6f5ee0475fe4

Observation 9b980d44-1a2e-478b-97d2-e4747889484c · outbound

This paper cites "∗ 𝑥! 𝑥"𝑥.

Rethinking Score Distilling Sampling for 3D Editing and Generation "∗ 𝑥! 𝑥"𝑥

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-16T04:13:16.479364Z

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.

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Observation 471a0def-1f0f-4a36-8b04-9929ea2b7916 · outbound

This paper cites an unresolved cited work.

Rethinking Score Distilling Sampling for 3D Editing and Generation Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-16T04:13:16.466964Z

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.

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Observation 77043050-ede6-4935-8e7f-8f413f75f1b4 · outbound

This paper cites FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly.

Rethinking Score Distilling Sampling for 3D Editing and Generation FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly

Reference 9

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source=pdf_text observed=2026-08-16T04:13:15.798138Z digest=sha256:d2ba7d43f91658d7fe6351be16b811ab21cb0bd89cbeeeaac27dd77a287c577e

Observation be70636b-ea06-4c6e-8cc5-357617a80874 · outbound

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

Rethinking Score Distilling Sampling for 3D Editing and Generation LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching

Reference 10

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source=pdf_text observed=2026-08-16T04:13:15.802496Z digest=sha256:a02d5ca038d5e80eeef5be688dda86acb653090642b646a5b68c18632da31254

Observation c6593117-79be-49b1-9dcb-eaa3b1dab41a · outbound

This paper cites A Comprehensive Survey on 3D Content Generation.

Rethinking Score Distilling Sampling for 3D Editing and Generation A Comprehensive Survey on 3D Content Generation

Reference 11

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source=pdf_text observed=2026-08-16T04:13:15.807558Z digest=sha256:4e7bdbc82b10186417b3179b91ea4f0204aa361e0261df91f3e13d0dc3cdfdc5

Observation 4c0a2f19-b5e3-4796-b4ef-d9051a91ae84 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Rethinking Score Distilling Sampling for 3D Editing and Generation Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 12

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Observation e9622e3c-013e-4a70-9424-dae3bfdc97d0 · outbound

This paper cites Rethinking Score Distillation as a Bridge Between Image Distributions.

Rethinking Score Distilling Sampling for 3D Editing and Generation Rethinking Score Distillation as a Bridge Between Image Distributions

Reference 13

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Observation ea42673d-4acb-49b4-bf17-d5aafd7d5a34 · outbound

This paper cites We also investigate how the differentxt affect the generation process.

Rethinking Score Distilling Sampling for 3D Editing and Generation We also investigate how the differentxt affect the generation process

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.

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Observation b21dcd9d-53be-4f7a-a1cd-6aff5d6f8cb9 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Rethinking Score Distilling Sampling for 3D Editing and Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:15.823460Z digest=sha256:9509403ceec9e4af9755cd15e8a729ef6c517e6f7a15e295171db0c8c74782ef

Observation 45d71441-1755-4b27-8ab8-a9e9a30738ef · outbound

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

Rethinking Score Distilling Sampling for 3D Editing and Generation DreamFusion: Text-to-3D using 2D Diffusion

Reference 16

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source=pdf_text observed=2026-08-16T04:13:15.829240Z digest=sha256:1d44114b112f7ac988c21781e51978336a46de51015660a32caad8d69957b57c

Observation daee7802-726e-4e1c-a519-6a20b84b7325 · outbound

This paper cites Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting.

Rethinking Score Distilling Sampling for 3D Editing and Generation Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting

Reference 17

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source=pdf_text observed=2026-08-16T04:13:15.833544Z digest=sha256:6b6bafe28706acbf29e53e31c4a122a9fb33a4f32d3ef594f96608ba3b13d0b9

Observation dd907c24-d7aa-4bff-89e3-68efc1dc69d1 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Rethinking Score Distilling Sampling for 3D Editing and Generation Learning Transferable Visual Models From Natural Language Supervision

Reference 18

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Observation e9518ed6-0179-4a2c-9f4a-bedb9c1ea6a5 · outbound

This paper cites Denoising Diffusion Implicit Models.

Rethinking Score Distilling Sampling for 3D Editing and Generation Denoising Diffusion Implicit Models

Reference 19

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source=pdf_text observed=2026-08-16T04:13:15.841898Z digest=sha256:a7f3e9e9a171f7e2d9f7ad4768240b3914acd951070018a3c0b57daef7dc8652

Observation 0e0d8511-c9f9-440d-8401-00d7da07ebf5 · outbound

This paper cites Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior.

Rethinking Score Distilling Sampling for 3D Editing and Generation Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior

Reference 21

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source=pdf_text observed=2026-08-16T04:13:15.850339Z digest=sha256:8276e8ed44586d413ad3fce64492376cea13ff87c5805b2dd37866a50d165a29

Observation cf9525fb-940b-4953-86cb-39104ac4a4b8 · outbound

This paper cites Text-to-3D with Classifier Score Distillation.

Rethinking Score Distilling Sampling for 3D Editing and Generation Text-to-3D with Classifier Score Distillation

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:15.854593Z digest=sha256:f4c2b61e11132babf20f597b37020a8cefbe03775d4a548d3a7121208bb58d4e

Observation 8d893ebe-43e2-41e5-82df-972a0569ea35 · outbound

This paper cites A DSLR photo of a dolphin.

Rethinking Score Distilling Sampling for 3D Editing and Generation A DSLR photo of a dolphin

Reference 24

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raw_fallback, observed 2026-08-16T04:13:16.492381Z

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=2026-08-16T04:13:15.863530Z digest=sha256:cc28f2b356484a0014e377234baf087bad43d5f8ab77792efe8f22a68ce69ce3

Observation ce9154d0-3da7-4507-8f20-ac56baa789cd · outbound

This paper cites Specifically, our method computes gradients in a clean latent space distribution that is closer to the data distri- bution.

Rethinking Score Distilling Sampling for 3D Editing and Generation Specifically, our method computes gradients in a clean latent space distribution that is closer to the data distri- bution

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-16T04:13:16.453940Z

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=2026-08-16T04:13:15.875469Z digest=sha256:6dc75d02322bbb870a6e35abd5935b41207d26b278763faa59712b48f1ab97cb

Observation dc19076f-0da4-4671-a1be-cd0882807afd · outbound

This paper cites As presented in the main text, the PDS can preserve identity recognition because it in- 1 Submission and Formatting Instructions for ICML 2025 (a)Generation(b)Editing Figure.

Rethinking Score Distilling Sampling for 3D Editing and Generation As presented in the main text, the PDS can preserve identity recognition because it in- 1 Submission and Formatting Instructions for ICML 2025 (a)Generation(b)Editing Figure

Reference 28

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T04:13:15.879228Z digest=sha256:f0234e975d25608a7c778fbddf457ce4d685835f6a176e804e1e896f3fbf5cb1

Observation c608e5bb-6706-45c9-af34-bc613ad36e43 · outbound

This paper cites Additionally, SDS with CFG=100 shows very large fluctuations.

Rethinking Score Distilling Sampling for 3D Editing and Generation Additionally, SDS with CFG=100 shows very large fluctuations

Reference 30

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

source=pdf_text observed=2026-08-16T04:13:15.887130Z digest=sha256:810b7ab26a75941cb08170d92a7502b6c630c82aa7e686c069e0646e341433a5

Observation f75a367b-c284-4149-8e3e-0a243bdf8e57 · outbound

This paper cites This qualitative advantage is further corroborated by the quantitative results.

Rethinking Score Distilling Sampling for 3D Editing and Generation This qualitative advantage is further corroborated by the quantitative results

Reference 31

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T04:13:15.890966Z digest=sha256:bdb2407c51e6b54306d53f0400165954bc216ba408767ef4499f7855e00dfb77

Observation 8d32c73b-555c-44cd-adca-4a62b1827374 · outbound

This paper cites A sliced loaf of fresh bread.

Rethinking Score Distilling Sampling for 3D Editing and Generation A sliced loaf of fresh bread

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-16T04:13:16.384248Z

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=2026-08-16T04:13:15.895259Z digest=sha256:a8a07e574be0fb2214d3246a29af799fe835d0ff55f421686773a971dc6364cc

Observation 2e5eeb98-4b1f-475d-bd84-ceecf0093be5 · outbound

This paper cites Please zoom in for details.

Rethinking Score Distilling Sampling for 3D Editing and Generation Please zoom in for details

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-16T04:13:16.246221Z

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=2026-08-16T04:13:15.899419Z digest=sha256:fe3b064fd7857892f37cd87426dbb493dc77bbcd0fb0520e2ca7994386ab3ec1

Observation 07288daa-5a3d-4a89-8a6d-c28b03d7616b · outbound

This paper cites Dreamed- itor: Text-driven 3d scene editing with neural fields.

Rethinking Score Distilling Sampling for 3D Editing and Generation Dreamed- itor: Text-driven 3d scene editing with neural fields

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:16.506801Z

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=2026-08-16T04:13:15.859636Z digest=sha256:5f920b5359ef05b3cc064f136a52802c6394afaa7dd8c0e3bc925977ea5ccbfc

Observation 03e012e7-0bd8-486e-94ec-c86be329c014 · outbound

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

Rethinking Score Distilling Sampling for 3D Editing and Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2019

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:15.845876Z digest=sha256:80a74b5dac74688a0cee4a6149bd241e94df7718ccd164c12dbd5b32db25ab9a

Observation 44a44cdb-ff4d-47e0-8cd0-70756461274c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Rethinking Score Distilling Sampling for 3D Editing and Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 2020

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:15.784867Z digest=sha256:00d78f1ea007ab1a15b712fc52727a35e17afcc4f672e59010b9fa555ccac402

Observation ed00e6da-3f0b-464d-9db5-3f5f3a738a09 · outbound

This paper cites Attention in Diffusion Model: A Survey.

Rethinking Score Distilling Sampling for 3D Editing and Generation Attention in Diffusion Model: A Survey

Reference 2021

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verified exact
local_arxiv, observed 2026-08-16T04:13:16.153893Z

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=2026-08-16T04:13:15.789093Z digest=sha256:66a9798e23e906cb96366ef7e37b398fc958d5d771f9099a3c831687f289323d

Observation 509837d2-ed4b-4a4c-a408-accd65f9bd18 · outbound

This paper cites ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRF.

Rethinking Score Distilling Sampling for 3D Editing and Generation ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRF

Reference 2022

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no resolver link, observed 2026-08-16T04:13:15.819561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:15.819561Z digest=sha256:a9ce7b77737fb60f14b7f7430d59d7a51bb7e6cbf76c5754a22d062319d1e815

Observation c09237aa-7e45-45e2-aecb-0d0baaa695db · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Rethinking Score Distilling Sampling for 3D Editing and Generation Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 2023

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unresolved
no resolver link, observed 2026-08-16T04:13:15.766541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:15.766541Z digest=sha256:69932456bdd1b491d659ca7b9865e876b004762b45e9a670816c3da063f90dd8

Observation 23ee610b-37a1-4d23-8659-7ffb041572df · outbound

This paper cites Vectorfusion: Text-to-svg by abstracting pixel-based diffusion models.

Rethinking Score Distilling Sampling for 3D Editing and Generation Vectorfusion: Text-to-svg by abstracting pixel-based diffusion models

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:16.520433Z

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=2026-08-16T04:13:15.793886Z digest=sha256:e03b17cef7c07237698097eb97f478a35f54dc81673d51275fb28d0361fb928a

Pith citing papers

Observation 96eb1c3e-3e7d-4377-9532-94286c82d06e · inbound

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective cites this paper.

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective Rethinking Score Distilling Sampling for 3D Editing and Generation

Reference 43

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no resolver link, observed 2026-08-07T04:38:08.087795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:38:08.087795Z digest=sha256:02f51b453fbe0a5572f57178e6ae0192fe77855c568e784f2f05e45a68862acb

Observation 4d568ae7-7430-40ea-95d1-efb6bce68490 · inbound

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing cites this paper.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Rethinking Score Distilling Sampling for 3D Editing and Generation

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:03.561083Z digest=sha256:78023dfc89b90e7f0416782a5a947cf4fa644fb777c169631f9379d58fcfeb99

Observation fa65f576-2fb6-4ec0-8df1-163e7cb9a770 · inbound

CAdam: Context-Adaptive Moment Estimation for 3D Gaussian Densification in Generative Distillation cites this paper.

CAdam: Context-Adaptive Moment Estimation for 3D Gaussian Densification in Generative Distillation Rethinking Score Distilling Sampling for 3D Editing and Generation

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:43:59.069140Z

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=arxiv_source observed=2026-05-21T05:41:14.473743Z digest=sha256:00c5c488f301bc3a1a586034cc82926938516d8895946b3a1dcd2e1f0627ba64