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Paper Citation Record · LEDGER

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation

As of 12 August 2026, this Paper Citation Record lists 100 of 124 outbound references and 1 inbound Pith citation observation for arXiv:2412.11170.

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

pith.paper-citation-record.v1
2412.11170 v2

Coverage vector

measured 100 of 124 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:18:18.908204Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:59:10.706905Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:59:11.785013Z

Reference resolution

100 of 124 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved64
  • parse uncertain4
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74583afd-a2aa-4a65-922f-5b7b57115085 · outbound

This paper cites Lara: Efficient large-baseline radiance fields.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Lara: Efficient large-baseline radiance fields

Reference 1

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Observation 3ff2e8c3-a14b-4309-811f-e434d29da60a · outbound

This paper cites Sculpt3d: Multi-view consistent text-to-3d generation with sparse 3d prior.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Sculpt3d: Multi-view consistent text-to-3d generation with sparse 3d prior

Reference 2

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source=pdf_text observed=2026-08-11T15:18:18.420420Z digest=sha256:513f6f289ab80b628560830bdf0fa81ee42ce083331cba782c00d093dbd621ba

Observation 189852f4-36e2-4bb5-8aa5-6a53ff75312a · outbound

This paper cites Vp3d: Unleashing 2d visual prompt for text-to-3d gen- eration.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Vp3d: Unleashing 2d visual prompt for text-to-3d gen- eration

Reference 3

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source=pdf_text observed=2026-08-11T15:18:18.425854Z digest=sha256:64911a43bc6cbec350d8414ec2258ded9a453d0411c20d041c6b85788856e1cb

Observation e5d46f23-02d7-4bd9-8c4d-4cd0eed27509 · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Objaverse-xl: A universe of 10m+ 3d objects

Reference 4

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source=pdf_text observed=2026-08-11T15:18:18.430996Z digest=sha256:cf6383b479d9f0fd5c5415be39a53c9e4be1846c3222d743ec8af25137055789

Observation 5236ed51-1005-4ff4-a9d4-e0a0a02df5ad · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Objaverse: A universe of annotated 3d objects

Reference 5

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source=pdf_text observed=2026-08-11T15:18:18.435968Z digest=sha256:f8af2350de6b53f53107c9ee3f31d978519e82f3aa6e13db3e872797d683a09f

Observation 29977eb5-0847-4df4-88a1-efe8f22b0606 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Imagenet: A large-scale hierarchical image database

Reference 6

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source=pdf_text observed=2026-08-11T15:18:18.440844Z digest=sha256:f1b561007565b72a5a882a032a45b63c93625e7185140bd0e30af95ae4cfcf22

Observation deb3a445-4ace-4031-82f8-790e9eba997b · outbound

This paper cites Interactive3d: Create what you want by interactive 3d generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Interactive3d: Create what you want by interactive 3d generation

Reference 7

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source=pdf_text observed=2026-08-11T15:18:18.445788Z digest=sha256:361e241c86d1367d14839db93a07a7d2f1288d59b50cc907f2719c6e4e1bf9f7

Observation 16834a20-fd78-47c7-9359-34e6a35557f4 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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source=pdf_text observed=2026-08-11T15:18:18.450699Z digest=sha256:2519e440b61de46531da5be6494f14dc046918bd5fd230acaf710641810a2234

Observation 1f27aa50-f5f1-4bd6-b089-2bacd59af431 · outbound

This paper cites Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

Reference 9

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source=pdf_text observed=2026-08-11T15:18:18.456266Z digest=sha256:e2056481d01f5ed5a8075547d71ce890803596296ed64dc59f30c4e7a93c336b

Observation b1d35daf-d430-497d-a20e-7ef58b9a3ed7 · outbound

This paper cites Shapecrafter: A recursive text-conditioned 3d shape generation model.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Shapecrafter: A recursive text-conditioned 3d shape generation model

Reference 10

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source=pdf_text observed=2026-08-11T15:18:18.461368Z digest=sha256:79610ed4c388222d54b8e038a260d2794e7f44b9b9f3a4a8ba606478586fe790

Observation 79472e1e-55bc-4279-8caf-14737ee2461a · outbound

This paper cites Get3d: A generative model of high quality 3d tex- tured shapes learned from images.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Get3d: A generative model of high quality 3d tex- tured shapes learned from images

Reference 11

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Observation 25808075-45d9-46ba-b2d4-3170006da884 · outbound

This paper cites Hypernet- works.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Hypernet- works

Reference 12

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source=pdf_text observed=2026-08-11T15:18:18.470797Z digest=sha256:c854e29e009b452b3ed5312a17c2a4990fbde7564975ee1394f3d5ecd2eaaca3

Observation 09fc211a-bfb8-438d-b186-d5d37dc165ca · outbound

This paper cites Deep residual learning for image recognition.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Deep residual learning for image recognition

Reference 13

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source=pdf_text observed=2026-08-11T15:18:18.476081Z digest=sha256:94339a03c5fe1b190f863e03c00cfab97d10661cf14f6109c5b83a69e90e46af

Observation 8ec5e8a9-dc53-4a9f-99db-a89d71441512 · outbound

This paper cites T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation

Reference 14

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source=pdf_text observed=2026-08-11T15:18:18.480830Z digest=sha256:4752ec186018ce4601d634d4fbd300f7eba19b11acdf76169bb96f00b9d72c17

Observation 2cc2f9e6-9375-4f6b-9f88-2fa7e45e3928 · outbound

This paper cites Mmpi: a flexible radiance field representation by multiple multi-plane images blend- ing.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Mmpi: a flexible radiance field representation by multiple multi-plane images blend- ing

Reference 15

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source=pdf_text observed=2026-08-11T15:18:18.486045Z digest=sha256:5b6db05154e6bb17e2635dbe8da30d84533da4a6542639f63448cb670537ca9c

Observation 822fee58-db14-42ff-92da-2f572165e5bd · outbound

This paper cites CLIPScore: A reference-free evaluation metric for image captioning.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation CLIPScore: A reference-free evaluation metric for image captioning

Reference 16

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source=pdf_text observed=2026-08-11T15:18:18.490721Z digest=sha256:c580cf817614a883246ea77b2fef4bd563108b12ad0e3fbd6b3b170c834d4453

Observation 76d0f5f0-63b4-4c8f-ba7b-688a682a7e42 · outbound

This paper cites 3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation 3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

Reference 17

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source=pdf_text observed=2026-08-11T15:18:18.495855Z digest=sha256:9cbf16bcde1e7a1fb28397cbdc53ca8130af72f2e42329cacc993621811646ad

Observation fc9d140f-5fcc-450b-a236-c949094cd7c0 · outbound

This paper cites Debi- asing scores and prompts of 2d diffusion for view-consistent text-to-3d generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Debi- asing scores and prompts of 2d diffusion for view-consistent text-to-3d generation

Reference 18

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source=pdf_text observed=2026-08-11T15:18:18.501211Z digest=sha256:7609b9f0ddd16f0d79f4628d54eadde4b8ee0c573cd571c0a14c3b1c31a9198a

Observation 10c5e501-03eb-46dd-8650-ee5454aa0308 · outbound

This paper cites Lrm: Large reconstruction model for single image to 3d.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Lrm: Large reconstruction model for single image to 3d

Reference 19

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source=pdf_text observed=2026-08-11T15:18:18.506093Z digest=sha256:f2e9ba3b64761e19d3157de5fd1241248bf8ec7e898e89ac8f06b880efac4bf5

Observation ce1c8734-4bbb-47aa-9875-f4e7d679d63d · outbound

This paper cites Towards trans- parent deep image aesthetics assessment with tag-based con- tent descriptors.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Towards trans- parent deep image aesthetics assessment with tag-based con- tent descriptors

Reference 20

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Observation d8be5318-5ef2-43ea-ab7d-381e9866207d · outbound

This paper cites Nerf-texture: Texture synthesis with neural radi- ance fields.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Nerf-texture: Texture synthesis with neural radi- ance fields

Reference 21

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Observation 113eb70d-6b90-46d2-a468-f20e88e8e3a6 · outbound

This paper cites Make-a-shape: a ten-million-scale 3D shape model.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Make-a-shape: a ten-million-scale 3D shape model

Reference 22

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Observation b1a330cb-46e9-442d-bb5d-effad528ea5a · outbound

This paper cites ICE-G: Image Conditional Editing of 3D Gaussian Splats.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation ICE-G: Image Conditional Editing of 3D Gaussian Splats

Reference 23

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Observation 6d72c20e-ff94-408a-85d8-cbcde6b23d2e · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Shap-E: Generating Conditional 3D Implicit Functions

Reference 24

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source=pdf_text observed=2026-08-11T15:18:18.531785Z digest=sha256:d8ce49b6c18748f907fe925a86bee9bb649a16aed22fbf33cf5a2a2fb92afa78

Observation 4fa014b6-3c8a-4c9e-8ad1-6be9473438e0 · outbound

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

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation 3d gaussian splatting for real-time radiance field rendering

Reference 25

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Observation 9453ec20-bb40-48f8-a4eb-bd1950ca714b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Adam: A Method for Stochastic Optimization

Reference 26

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source=pdf_text observed=2026-08-11T15:18:18.542479Z digest=sha256:4a0a3650921899b75fbfe889be25b3f549827b0427425328ff25f290f09935a3

Observation 1dc509a4-9bfb-4492-977c-821a49437b21 · outbound

This paper cites Evaluating and improving composi- tional text-to-visual generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Evaluating and improving composi- tional text-to-visual generation

Reference 27

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source=pdf_text observed=2026-08-11T15:18:18.547868Z digest=sha256:72395e35caf24b68504fad2efc89529ebe1325cd7675d94e9c69cf30b04ed490

Observation 4df77613-fbc4-4ffa-b538-90263ee53195 · outbound

This paper cites Aigiqa-20k: A large database for ai- generated image quality assessment.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Aigiqa-20k: A large database for ai- generated image quality assessment

Reference 28

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source=pdf_text observed=2026-08-11T15:18:18.552594Z digest=sha256:80afbdcb61126cc2f0ef6ec1c18231b99db54bb40bb525863747cf9b0757b0ac

Observation adeb4528-d8d8-4757-9439-e53fa9a280cb · outbound

This paper cites Agiqa-3k: An open database for ai-generated image quality assessment.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Agiqa-3k: An open database for ai-generated image quality assessment

Reference 29

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source=pdf_text observed=2026-08-11T15:18:18.557288Z digest=sha256:9457cd3c72b36e9d63212177c95d66ba309baf47e54810cbaa4051d567a2088d

Observation 316d9107-2ff5-405d-a42e-91f55ea8fa7c · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 30

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source=pdf_text observed=2026-08-11T15:18:18.563587Z digest=sha256:240b6a36eed6b84b94ebd6239c684e68cb85dd824d89b50be9b6f082850daa6f

Observation bd2ce643-e37f-4c79-99ad-59df22bddc54 · outbound

This paper cites Instant3d: Instant text- to-3d generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Instant3d: Instant text- to-3d generation

Reference 31

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source=pdf_text observed=2026-08-11T15:18:18.568533Z digest=sha256:d50379d911695fcfe1ee403df48424e9e839dd60c8e601d1abec81bb2576becc

Observation b149ec03-6efb-4018-9f89-82dec48c4245 · outbound

This paper cites https://threejs.org.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation https://threejs.org

Reference 32

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source=pdf_text observed=2026-08-11T15:18:18.573589Z digest=sha256:2d251a85dd28645b01de8873259270c8e291260945fa80af74b6fc4ca9c8bca1

Observation 7c57c7de-0025-417c-aa77-8694218b324b · outbound

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

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Magic3d: High-resolution text-to-3d content creation

Reference 33

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source=pdf_text observed=2026-08-11T15:18:18.578581Z digest=sha256:b22c14ca4dccd3dcfcd7e1e27ae5c40da10ffff12540985c79e6fda2d91e9b73

Observation def72ff0-c56c-4891-b7ff-8f118200efa3 · outbound

This paper cites Sherpa3d: Boosting high-fidelity text-to-3d genera- tion via coarse 3d prior.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Sherpa3d: Boosting high-fidelity text-to-3d genera- tion via coarse 3d prior

Reference 34

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source=pdf_text observed=2026-08-11T15:18:18.583736Z digest=sha256:9ce38b066ea497633d6188d951fa09eafa501886c70c3e2ef3767ff39f80632d

Observation b5204bd8-e9da-44fb-87ad-d9e6d522ace6 · outbound

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

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation A Comprehensive Survey on 3D Content Generation

Reference 35

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source=pdf_text observed=2026-08-11T15:18:18.588792Z digest=sha256:b7893756a3fb5e3066f73fc6ecb98c029ec7ed50ac69d895fb60ea4f5ce591e5

Observation f35b5ae5-dd10-47ad-a06e-43b0731c9b95 · outbound

This paper cites One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion

Reference 36

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source=pdf_text observed=2026-08-11T15:18:18.593821Z digest=sha256:5651a493f93f9086da0c4a1d24684de85a1ab519d15a00f8ced2f5019596bcf0

Observation 9261b58c-3d6c-43a3-862c-8635c3bc9b2e · outbound

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

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Zero-1-to-3: Zero-shot one image to 3d object

Reference 37

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source=pdf_text observed=2026-08-11T15:18:18.598526Z digest=sha256:57e09583810e2d7c0f74e010e3f28ef84e8024aa6141ae01baf8b36ba277343c

Observation 9d408bf0-31a9-4f2f-aa36-ad49aee7594e · outbound

This paper cites Vqa-diff: Exploit- ing vqa and diffusion for zero-shot image-to-3d vehicle asset generation in autonomous driving.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Vqa-diff: Exploit- ing vqa and diffusion for zero-shot image-to-3d vehicle asset generation in autonomous driving

Reference 38

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source=pdf_text observed=2026-08-11T15:18:18.604437Z digest=sha256:21ce2cde65ef2aba567a301c5d60c800ec2b51345a567a268adf1451eec723cf

Observation 6ee59c2b-86cc-4a77-a590-7286ccd66dd7 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 39

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T15:18:18.609424Z digest=sha256:6e18fde213536faaae50ed76017f3fa49dfd0f563bddd63f0f04736da1c3caa7

Observation 9f2c525d-3bd8-4d14-b86b-7f313e263127 · outbound

This paper cites Scaledreamer: Scalable text-to-3d synthesis with asynchronous score distillation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Scaledreamer: Scalable text-to-3d synthesis with asynchronous score distillation

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T15:18:18.614285Z digest=sha256:a75412bbee45be838d994c7e990d6b34bdf1aea531417d58811bb2f1d667db94

Observation f46ce431-66c8-4d54-9dff-3d5d32a10f57 · outbound

This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Latent-nerf for shape-guided generation of 3d shapes and textures

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T15:18:18.619814Z digest=sha256:0f3e978089057da05d75d4471064eb81cc1b44d94142df16b27c27ca763126c7

Observation cf32abcd-13a5-4c8c-9c70-1c3751973b79 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 42

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T15:18:18.624549Z digest=sha256:4818b3f21eb2a81fff8e764f1d0e72cb1a99162952d0192d41327cd04b524e87

Observation 39a84fa4-71d1-40cd-8529-a66b02ad545b · outbound

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

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Clip-mesh: Generating textured meshes from text using pretrained image-text models

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.629789Z digest=sha256:b16c040060810364353a33f4e09ba18404a3764b9a37ae055505499e93398709

Observation 107a2279-ac46-47f1-a6ad-eb170d90e434 · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 44

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no resolver link, observed 2026-08-11T15:18:18.634355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.634355Z digest=sha256:ad988fe1bb3d555d067e3954ffbb263c8dfc17f5ade3b0e757efccb8e65771d6

Observation 2efdde0b-41b2-4277-9d38-d2f9e550ccbf · outbound

This paper cites Gpt-4 system card.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Gpt-4 system card

Reference 45

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no resolver link, observed 2026-08-11T15:18:18.639211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.639211Z digest=sha256:a3dae9504dc36f943ebfb6d2739cade0bfc7286d4631b56a62900ab8985970fb

Observation 304a6149-514c-4cf1-848f-77e4fb34f73f · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation DINOv2: Learning Robust Visual Features without Supervision

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T15:18:18.643917Z digest=sha256:bf5b12e9053562b7abd5d9b02ca8c5e266a6f384ac3771c1b602cf808c59fe59

Observation c9a2064c-a8f0-42b8-8737-ff9ab7f0f218 · outbound

This paper cites Barron, and Ben Milden- hall.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Barron, and Ben Milden- hall

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.648868Z digest=sha256:1e6fad9a3bcc5b5bc399c47bf35b5c25da7bf12d168804f108adff34621a0afc

Observation 6a004737-fb5f-42d4-86ef-e26bf14fa2b2 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Learn- ing transferable visual models from natural language super- vision

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.654309Z digest=sha256:276751534717e434966fc0fc2efdc0e5666fc9cdd0fb54c45229044b30ff484c

Observation 6d2f6499-ea85-46d0-856b-f3474688c195 · outbound

This paper cites Methodologies for the subjective assessment of the quality of television images.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Methodologies for the subjective assessment of the quality of television images

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.659057Z digest=sha256:e55a63b7bb3f47f4e0f70cddaa73608e9b3b89c9173fbcc5647b40a94ba8f8b8

Observation f3eebdca-8114-4a29-9e37-2db0b484a2d6 · outbound

This paper cites Subjective video quality as- sessment methods for multimedia applications.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Subjective video quality as- sessment methods for multimedia applications

Reference 50

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no resolver link, observed 2026-08-11T15:18:18.664017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.664017Z digest=sha256:d0cf9637e90d57c2d1d5e634f93f32f7958129a42d21edfb080b76cbb5b924ee

Observation c0d9947a-01ca-4887-a58f-89c1a1a1c4c1 · outbound

This paper cites DreamGaussian4D: Generative 4D Gaussian Splatting.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation DreamGaussian4D: Generative 4D Gaussian Splatting

Reference 51

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unresolved
no resolver link, observed 2026-08-11T15:18:18.670088Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T15:18:18.670088Z digest=sha256:f67bd887492490a14f09dc550df2af51b96962c9f82300a955b75b7c70618a8c

Observation 14c051dc-7892-408f-b0b7-105b704876b0 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 52

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no resolver link, observed 2026-08-11T15:18:18.674982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.674982Z digest=sha256:8f8b3c1d4d313bc1229ecfda754f6bf4ba95f0b211653ae491a8a08b3cfbd81b

Observation 20a21cb5-e9cb-491b-8c63-f709bb06b2f9 · outbound

This paper cites Retrieval-augmented score distillation for text-to-3d gener- ation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Retrieval-augmented score distillation for text-to-3d gener- ation

Reference 53

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no resolver link, observed 2026-08-11T15:18:18.680216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.680216Z digest=sha256:44f0f4b38bc59620a7ffa3b8f2980632a467110cce47507b28e60c56792ba47b

Observation b30b077e-2baa-467b-a452-6a740ec05e71 · outbound

This paper cites Let 2d diffusion model know 3d- consistency for robust text-to-3d generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Let 2d diffusion model know 3d- consistency for robust text-to-3d generation

Reference 54

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no resolver link, observed 2026-08-11T15:18:18.684766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.684766Z digest=sha256:753860e60f28d8bd347c63099be006eadc3400a2dbbf50f3d78a00a86eeba5da

Observation 37d50f8c-0f13-471b-972b-c286393a11e3 · outbound

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

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation MVDream: Multi-view Diffusion for 3D Generation

Reference 55

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no resolver link, observed 2026-08-11T15:18:18.689490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.689490Z digest=sha256:c3f1ae45966a9cb2e927c9a0c6ac9987e6620650afdeed2b0ca445b2fd381bbb

Observation 19b09ab6-94d5-4138-8823-def014e89124 · outbound

This paper cites Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network

Reference 56

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no resolver link, observed 2026-08-11T15:18:18.694496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.694496Z digest=sha256:84e10085056058859c3153451b1b8cdc0d1955fcd7a17e21026fa0c014ec3e2f

Observation 2723af77-4465-4342-a014-0b4a2ec1feee · outbound

This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Lgm: Large multi-view gaussian model for high-resolution 3d content creation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.305723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.699864Z digest=sha256:11944ab5470dbc64aab08fb474109b32806cc90625dd76919991fbffa939be91

Observation 52234dbe-5024-47f2-ba93-211457ae194d · outbound

This paper cites Dreamgaussian: Generative gaussian splatting for ef- ficient 3d content creation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Dreamgaussian: Generative gaussian splatting for ef- ficient 3d content creation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.289007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.704602Z digest=sha256:efbc748eeea5becc26c31b63747f20e37106fc2b53fb7b61871f61e8e1e75c8a

Observation 017b97cf-44d3-4c62-8eef-b9292f6abb91 · outbound

This paper cites Textmesh: Gen- eration of realistic 3d meshes from text prompts.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Textmesh: Gen- eration of realistic 3d meshes from text prompts

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.273475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.709488Z digest=sha256:9ab1f8e86d9ec6821e6830fb239602df397c04705dfc8275260172683325f746

Observation 8e114f75-803f-47b7-84d3-ffec6b26db6e · outbound

This paper cites Yeh, and Gregory Shakhnarovich.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Yeh, and Gregory Shakhnarovich

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.258337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.714069Z digest=sha256:fcfc472bb67f44ded682a653654607cad5f687f66a1bc19d0c42e1f4818b6a68

Observation f472b3e6-05ae-418e-b5fa-f4ab39dfec78 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Ex- ploring clip for assessing the look and feel of images

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.242613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.718736Z digest=sha256:8473c8b207290aeca7f8ba64bd7eeb01ca55782be70f4a02a1326239969ad5d6

Observation 41fbb1cd-d6ff-415a-b35a-807a6893f2d4 · outbound

This paper cites Prolificdreamer: high-fidelity and diverse text-to-3d generation with variational score distilla- tion.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Prolificdreamer: high-fidelity and diverse text-to-3d generation with variational score distilla- tion

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.226371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.723495Z digest=sha256:d37cf096997c14ac25fdf649403fe5ef159455c3409c047de1569540100a5760

Observation 79e6547d-3c2a-4306-81fd-2cf9695da951 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.728236Z digest=sha256:510167e1f41fe6785e9b293eeac292ac8a27347bd9f9a16c8e5288b6492f2c07

Observation b4c32e13-d088-446c-9aaf-1a92534d563e · outbound

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

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Gpt- 4v(ision) is a human-aligned evaluator for text-to-3d gener- ation

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.210000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.733321Z digest=sha256:20f70edc6c9dca52933e043fe1a510af9471bf7c38ec2d3f6e03ed8a21f3cefe

Observation f80854bf-7750-4991-bf04-f45fda1b2c45 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:18:18.738159Z digest=sha256:456bb4edbff2755e48cd8db7a7b30e04edb171842395874f26e84068ba49c9f9

Observation 88dccfaf-54da-4975-b61e-d2f053ca475b · outbound

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

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Consistent3d: Towards consistent high-fidelity text-to-3d generation with deterministic sampling prior

Reference 66

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verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.193649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.743148Z digest=sha256:deabfd91f31f041c24acb85161ad5a7a52aee29529d69028c90dd1f94bd6413b

Observation 64e45150-04a1-4c6d-bb5f-819216e2c772 · outbound

This paper cites Dream3d: Zero-shot text-to-3d synthesis using 3d shape prior and text-to-image diffusion models.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Dream3d: Zero-shot text-to-3d synthesis using 3d shape prior and text-to-image diffusion models

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.178024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.748104Z digest=sha256:71a4c8a7fb1ae639dad359672b4e56b16c03a5ca5b0aa92deb7d78e47ce75947

Observation d7731484-7120-4a2b-80b6-62113279e4ed · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.161552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.752865Z digest=sha256:fc21292baab444ea498a9dd59e6f8e57e1310257e9c3176cb8469d6134f25556

Observation e305ae82-43bd-4705-a329-f88e513f1bac · outbound

This paper cites Dreamview: Inject- ing view-specific text guidance into text-to-3d generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Dreamview: Inject- ing view-specific text guidance into text-to-3d generation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.144849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.757623Z digest=sha256:d521d087defbcc57a3944b650ef8d21b55999c5211c274d61de3aa620c9d6830

Observation 1e10033d-db66-490b-b304-f53660bf95de · outbound

This paper cites Consistent flow distillation for text-to-3d generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Consistent flow distillation for text-to-3d generation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.128340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.762272Z digest=sha256:9004c2a6b547e24ef155ea25efd6a42bb1dc90072f9857744022edeed7e97714

Observation 28521ee0-1996-4fd9-aaed-2615ac56f58f · outbound

This paper cites Viewfusion: Towards multi-view consistency via interpolated denoising.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Viewfusion: Towards multi-view consistency via interpolated denoising

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.111324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.766902Z digest=sha256:d46e5940799d44dab0d4d4858e34431f2bfcb754e18143eb148d708521ceba29

Observation ad076210-2462-4afa-bd7e-6f6f5e9f46a3 · outbound

This paper cites Dream- reward: Text-to-3d generation with human preference.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Dream- reward: Text-to-3d generation with human preference

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.095412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.771509Z digest=sha256:c2f4face4d473aed3152b8484072d5ce2acd76aea6878598db9dcb7ac4a532a1

Observation 47c8388b-b27b-46c6-88e2-17d041bbd3a4 · outbound

This paper cites Consistent-1-to-3: Consistent image to 3d view syn- thesis via geometry-aware diffusion models.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Consistent-1-to-3: Consistent image to 3d view syn- thesis via geometry-aware diffusion models

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.080256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.776046Z digest=sha256:00c9ba63e836e144193ccce20a72ec1a83ae5e951f5d77382fb84a28b4983873

Observation 2f800c9a-4d9d-4dfb-a4d7-94b2a4b10095 · outbound

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

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.064673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.780849Z digest=sha256:ed99569339acc83b86e08777e3192a4634d4825166778979aa7c8b4e6173e131

Observation 9b6e70b7-a05e-413e-b0cf-6d0d8175a142 · outbound

This paper cites Gaussiandreamerpro: Text to manipula- ble 3d gaussians with highly enhanced quality.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Gaussiandreamerpro: Text to manipula- ble 3d gaussians with highly enhanced quality

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.048022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.785963Z digest=sha256:314948c9ec4de62a511a7bc8e70d1e9b6e8adce5cac7674bec20ecabedaaf8d7

Observation 5a3cb29e-67f4-45f7-b027-cf5ef42bf41c · outbound

This paper cites 3dshape2vecset: A 3d shape representation for neu- ral fields and generative diffusion models.ACM Transactions On Graphics (TOG), 2023.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation 3dshape2vecset: A 3d shape representation for neu- ral fields and generative diffusion models.ACM Transactions On Graphics (TOG), 2023

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.030459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.791032Z digest=sha256:75c4c0d5b9b49d8d1c1e564bbcfa958d8c9b4336256e0eeaf7df3e3746a255a4

Observation 335ad0af-d7ab-4a92-afd4-8445c8b3666c · outbound

This paper cites Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:20.012723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.795512Z digest=sha256:de20571b13f61dc738de1283d8eb2079285b1d3d395f97b224996838e8a7a5c6

Observation 68238212-70c4-445c-bc26-a5ed99007274 · outbound

This paper cites Learning multi- dimensional human preference for text-to-image generation.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Learning multi- dimensional human preference for text-to-image generation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.996017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.800049Z digest=sha256:f574fde0936d25cecc2ff57f2b1ac526041935531936c6a686d034ec7bda6da8

Observation 210fedad-3dd0-4aed-9695-0cdc9868a12c · outbound

This paper cites Learning to prompt for vision-language models.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Learning to prompt for vision-language models

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.979692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.804605Z digest=sha256:e442e814fea9d31470bddb7be2af49c074e6bbd38f0ae63890671ef4d817daf2

Observation 934e70d7-1afb-4c49-8ba3-4f422731f807 · outbound

This paper cites A green apple.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation A green apple

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.963918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.809430Z digest=sha256:1d278020e4c1504c5d51c4b9a7c78cae30a06589c80e73323b1b0f25394877f5

Observation a821c771-7f50-41bd-b9c7-d95b1e1f3409 · outbound

This paper cites an unresolved cited work.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:18:19.948276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.815926Z digest=sha256:7c47382288f41b36db7b203456917b999705ddccf20b636c3c43c5ed87195e8d

Observation 7d5e93c8-7820-46fc-ae2b-d451a43b04f6 · outbound

This paper cites - Symmetry: Define if the object should be symmetrical, asymmetrical, or radially symmetrical.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation - Symmetry: Define if the object should be symmetrical, asymmetrical, or radially symmetrical

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.932740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.820817Z digest=sha256:7d7e04f09a8b01c8a0b9afef481a57181ed7f039c6fdc0da4e048cedf159293e

Observation 210632bc-9f04-4fd1-b5fd-c8246f170a6f · outbound

This paper cites an unresolved cited work.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:18:19.917456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.826491Z digest=sha256:66f249f1f547869039287ced1e2dd298aa028ef2dc7821d6c70ff7ab988b9a80

Observation dee03900-bb4f-405b-8d31-8c41ca822a3d · outbound

This paper cites A green apple.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation A green apple

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.901856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.830983Z digest=sha256:3399f38f4c7946ba6be65a6d6fbd3787fcfc427be9233a7bfe036782802fdfd2

Observation 6ad42ec7-aa97-40ec-971c-e7d380c9a9cf · outbound

This paper cites A photo of a black bird.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation A photo of a black bird

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.887359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.835538Z digest=sha256:817682c364ebb880b8d6c275b76d308add5db05ac96753a53ef1f1a8485676c0

Observation e62849c6-2640-4799-8310-8580d69268c1 · outbound

This paper cites A brown teddy bear, fur matted, one eye missing.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation A brown teddy bear, fur matted, one eye missing

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.871964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.839917Z digest=sha256:11e2ef2148753c6af47e809476bb1b13c17687dc4fe0cb7627a2396451f88631

Observation 7a5a56d0-9070-4a5a-896f-efe447299f1a · outbound

This paper cites A frog with a translucent skin displaying a mechanical heart beating.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation A frog with a translucent skin displaying a mechanical heart beating

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.856917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.844416Z digest=sha256:17ae62ef3c20824f2065b02cdc23b3fee3b35f39ad963baa7fd3bf357dabe76e

Observation 66dee391-51e1-401b-a9fe-c455e765d9d3 · outbound

This paper cites A delicious hamburger and a green apple.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation A delicious hamburger and a green apple

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.842504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.849771Z digest=sha256:e4c746878c2dc8e2f05990fe0c7013972968fcae0ac6efb9e3c9002d613af7ea

Observation 02f335d6-95ce-4591-9be6-1a4f4830298e · outbound

This paper cites A humanoid robot with a top hat is playing the cello.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation A humanoid robot with a top hat is playing the cello

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.827673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.854927Z digest=sha256:8db023f47c471cbf31b8d1fe6fc63b6b6c7373eed0d0eecbcf30e753beadb409

Observation ec9ecd8a-9158-4cf1-b954-a50ac366420f · outbound

This paper cites A red apple on a round ceramic plate.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation A red apple on a round ceramic plate

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.812688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.859531Z digest=sha256:322ddd5446708d868f26dd9f9c3de94b883ccebe5d4a9a4a56513f00b81807be

Observation cf880961-4a21-4496-9a87-a3dcdb564053 · outbound

This paper cites A panda with a wizard hat is reading a newspaper.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation A panda with a wizard hat is reading a newspaper

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.796615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.864257Z digest=sha256:ab0c9e6f1722a3384a63ccd41f32210c6459b5011896e472f88bb3fa492166d1

Observation 0ef7621e-ebb2-4a47-a177-71efdc553e49 · outbound

This paper cites an unresolved cited work.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Unresolved cited work

Reference 92

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T15:18:19.780482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.868965Z digest=sha256:30b7b1bd55552061c7d7a1297f450614a1458d0550ecb0eac45ca442e2fd7197

Observation 0d746626-898c-47a8-b593-a3cc3d4a830e · outbound

This paper cites an unresolved cited work.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Unresolved cited work

Reference 93

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T15:18:19.765699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.873380Z digest=sha256:d91e9a47a82f6be599c9c8650108fa531eab018d528395eeccc7e2eb8a218f33

Observation 86c1be02-ef53-459b-906b-683ab8df63ad · outbound

This paper cites an unresolved cited work.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Unresolved cited work

Reference 94

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T15:18:19.750304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.878836Z digest=sha256:907c3aa95aa550c60b6bb1e746f9737b79e18fea5383319fb588b83c391fe6a9

Observation c9f455c0-ade9-4bec-8d77-2682e454b538 · outbound

This paper cites an unresolved cited work.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Unresolved cited work

Reference 95

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T15:18:19.735426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.883305Z digest=sha256:20e201545a0e3417b4dd93f8fefb5eaf6df2ce0eaf29c014b1504e6f93f69910

Observation 4b465591-87ac-4836-9035-061012217fb0 · outbound

This paper cites an unresolved cited work.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:18:19.705438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.893504Z digest=sha256:f57ea79463f95c767634388e199f1fd21c4ed5cca8e3c8d575b137678ec7b06e

Observation 05347689-f25d-48b4-9eb1-19a62e2241f6 · outbound

This paper cites an unresolved cited work.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:18:19.690139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.898906Z digest=sha256:ae6151e9aca70cf5cdce8720cf6077485c168d5fabd56e84f4a19629522f2af6

Observation 49b6a918-d5b9-4327-af43-ab74b3605819 · outbound

This paper cites an unresolved cited work.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:18:19.674244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.903719Z digest=sha256:76981895487f9fc145c73473ec9b208c64234a88883faa09614db31c595626d3

Observation ff934698-a206-46fe-bb75-4da0dc9fbe65 · outbound

This paper cites Spatial.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Spatial

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:18:19.720608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.887957Z digest=sha256:d665f0b11bb55dabd3a9a23c997e46b0a0dc7b6520e1efe5ba7449495c079198

Observation 4b152c5f-e607-41ea-bbc5-82d4c04c8e2f · outbound

This paper cites an unresolved cited work.

Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation Unresolved cited work

Reference 101

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:18:19.658923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T15:18:18.908204Z digest=sha256:db9a97d34a016086afd2252b3ff5a2919af4c72fd91605afcdfad7919343fdd3

Pith citing papers

Observation f4e9473b-a0eb-45e8-8f0a-4b424f34b3c3 · inbound

Point Cloud Compression and Objective Quality Assessment: A Survey cites this paper.

Point Cloud Compression and Objective Quality Assessment: A Survey Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation

Reference 216

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:59:11.889910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T21:59:10.706905Z digest=sha256:c2077fb57dd0d335f41f7925cf3254e9dd80144fb6220ff992bc4b0e9cfe0bb9