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Paper Citation Record · LEDGER

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.19058.

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

pith.paper-citation-record.v1
2507.19058 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:04:34.649518Z

measured 39 of 39 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 416e98ba-521b-4343-9137-06ee278216e2 · outbound

This paper cites Break-a-scene: Extracting multi- ple concepts from a single image.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Break-a-scene: Extracting multi- ple concepts from a single image

Reference 1

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:04:34.406102Z digest=sha256:26b40c22302f16cb9a221c0d417b514c86b93913b5defb6ba336b3916ecbe11e

Observation 4bd69e35-f010-4182-b974-3e16d356dba8 · outbound

This paper cites Blended latent diffusion.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Blended latent diffusion

Reference 2

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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=2026-08-15T18:04:34.417328Z digest=sha256:453f07e932b0169b0fa2506e157205cfa4c522be5e7f72418f85d631875a8b64

Observation 9bc9f47c-fa0c-4b9c-a446-bf7637995a39 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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source=pdf_text observed=2026-08-15T18:04:34.425779Z digest=sha256:8adbca2dafee86e2b069f8c7bac0e1c56800e4f7a70a67e82f62da03a20d0ea3

Observation 93f56cf1-e037-436a-90e8-399ac21e5f6f · outbound

This paper cites Video generation models as world simulators, 2024.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Video generation models as world simulators, 2024

Reference 4

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source=pdf_text observed=2026-08-15T18:04:34.432354Z digest=sha256:5daca4e86c80ec98d13ee3835521816b2f2ad440b1ad557914b4c7490f44b7f1

Observation c6b0fa01-ea74-49a0-8966-1985710d4e52 · outbound

This paper cites Diffdreamer: Towards consistent unsupervised single-view scene extrapolation with conditional diffusion models.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Diffdreamer: Towards consistent unsupervised single-view scene extrapolation with conditional diffusion models

Reference 5

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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=2026-08-15T18:04:34.439269Z digest=sha256:75a54ce42d424fae1b0a47980c156026d59de00aad0fcb467b3004f0cc49c26a

Observation 461df223-1659-48c3-a9f8-6b2b87361823 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Emerg- ing properties in self-supervised vision transformers

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.444277Z digest=sha256:499a950671707badda77624ffef4eb9d6ffbcbb0eee17663821d4378c7cb18c5

Observation 885abb56-91dc-4c0e-b6e0-b8f03e518f76 · outbound

This paper cites Persistent nature: A generative model of un- bounded 3d worlds.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Persistent nature: A generative model of un- bounded 3d worlds

Reference 7

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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=2026-08-15T18:04:34.453280Z digest=sha256:8926a85d4931d2c261b7cb4544b6de9d4a556f4216ee3946898c9eea42438b57

Observation 8c999ab9-6a36-45eb-b19e-68c92df5b837 · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:04:34.460241Z digest=sha256:63fde0b777f2517dabdf989fba7e4a3b7b424b603991a1c89320e3171ffaa2c9

Observation 78ac755e-1477-4eac-b36f-348d6039ac65 · outbound

This paper cites LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Reference 9

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source=pdf_text observed=2026-08-15T18:04:34.465358Z digest=sha256:8260a505e18834eda6223e19100ec4c3f606ae170a1eb48e757bc0d18c380793

Observation 69b443b3-d3d9-4123-b710-c6755fa3bee2 · outbound

This paper cites Scenescape: Text-driven consistent scene generation.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Scenescape: Text-driven consistent scene generation

Reference 10

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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=2026-08-15T18:04:34.470238Z digest=sha256:e58a501df86bfb0fa17182f5d8f3ab7692a5bec0425094445ac506dfad4acb28

Observation 6ebc994e-9d64-4661-b7ca-cb9ebbb08c57 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 11

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source=pdf_text observed=2026-08-15T18:04:34.475462Z digest=sha256:26c735b3d09c5f62e2f3e3e9986e1aa802a30b66b265d0714a2179efdd6b2a5b

Observation 010c9482-7959-440a-aaa7-89b7be806658 · outbound

This paper cites Svdiff: Compact param- eter space for diffusion fine-tuning.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Svdiff: Compact param- eter space for diffusion fine-tuning

Reference 12

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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=2026-08-15T18:04:34.481911Z digest=sha256:e958db586a501f0fdc8717095be03e9272a9007944e41570e084a283751323db

Observation d9314e48-5660-4cdb-bd48-0fb459a1f02b · outbound

This paper cites Denoising dif- fusion probabilistic models.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Denoising dif- fusion probabilistic models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.487657Z digest=sha256:4f3f2c4e1e4b91855a2a1cfba9d4bf39dc10366bfe468b21892d7875cd551c36

Observation 544d6733-c4d8-4b22-b6d6-3239556b199d · outbound

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

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment LoRA: Low-Rank Adaptation of Large Language Models

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.498143Z digest=sha256:0385e27d9bf91d1498640cb4e1e26ab9d6bdab60fc3b154f456482e48fd42bce

Observation c176d471-ad89-4f41-a979-2d72765942f6 · outbound

This paper cites Peekaboo: Interactive video generation via masked- diffusion.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Peekaboo: Interactive video generation via masked- diffusion

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.502534Z digest=sha256:be9e10ff8539edea552ab50cb3aeede619d0ef5827138e6a923f38289637defc

Observation 2b2d07ad-4ef9-4448-8d40-c2d720c6cc16 · outbound

This paper cites Infinite images: Creating and ex- ploring a large photorealistic virtual space.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Infinite images: Creating and ex- ploring a large photorealistic virtual space

Reference 16

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:04:34.508886Z digest=sha256:dbb4d3634e2ad37729e677327520d7570c5e820c7260d481f6e3f76affa9a9d0

Observation b00dfb4a-58f5-4c6a-83b6-a4e0ef489e7a · outbound

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

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment 3d gaussian splatting for real-time radiance field rendering

Reference 17

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source=pdf_text observed=2026-08-15T18:04:34.513718Z digest=sha256:726bcb03029b983d6ca2e8880dc1e20b92db2d91e0ed5a3fd9c266f3a027f834

Observation 847f92ad-a6d3-4276-ae36-0faaec93e77e · outbound

This paper cites Segment any- thing.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Segment any- thing

Reference 18

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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=2026-08-15T18:04:34.518771Z digest=sha256:95fc735bd1195f0dca0330f8d978326d9f9864353d7da6b5a553d639714a305f

Observation c263507d-dc0a-4c9f-91ce-ae8f917fbbe1 · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Multi-concept customization of text-to-image diffusion

Reference 19

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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=2026-08-15T18:04:34.522888Z digest=sha256:e2ecd6811f70826c7ed744bd2343fb8b1edf24de8191c6351bf384ef77523c7f

Observation f415272d-8d3e-4d9b-8064-9b95689e9b94 · outbound

This paper cites Infinitenature-zero: Learning perpetual view generation of natural scenes from single images.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Infinitenature-zero: Learning perpetual view generation of natural scenes from single images

Reference 20

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source=pdf_text observed=2026-08-15T18:04:34.528175Z digest=sha256:29987dd2ccb1998da38b2a4fc7213c8183abedf9f9e53fd48a800ea322b0bc29

Observation 1ccddcf2-b11c-4cef-bd3f-032105ee50eb · outbound

This paper cites Infinite na- ture: Perpetual view generation of natural scenes from a sin- gle image.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Infinite na- ture: Perpetual view generation of natural scenes from a sin- gle image

Reference 21

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raw_fallback, observed 2026-08-15T18:04:35.184145Z

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=2026-08-15T18:04:34.536378Z digest=sha256:a2d108a6964059290db9901b30c6860553567e4072649c1fea6f08d9a5101353

Observation e766ff46-faad-4710-b42a-6550f1db16fb · outbound

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

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 22

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source=pdf_text observed=2026-08-15T18:04:34.540841Z digest=sha256:e8a2e1596dbcafc25eae69f5868658df391af8919a9043548048844e6c513302

Observation a1a4cefc-5d30-4e05-8d44-b08cee519bb7 · outbound

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

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Learning transferable visual models from natural language supervi- sion

Reference 23

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source=pdf_text observed=2026-08-15T18:04:34.553701Z digest=sha256:202a960382f6d88d044cc110035ba15fbf297c17a300c1b9389d96e70bf284bc

Observation 3b36be60-e8ca-404a-9b11-7a35847cc022 · outbound

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

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment High-resolution image synthesis with latent diffusion models

Reference 24

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:04:34.559154Z digest=sha256:763e5ed44e8f467258a04e35d33f9d305cfa27c4ff4daeba39b904e7be26e7a8

Observation 30aab63a-15a8-4caf-84c1-f3fa31997301 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 25

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raw_fallback, observed 2026-08-15T18:04:35.129026Z

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=2026-08-15T18:04:34.563438Z digest=sha256:9f7612e94a6e545895e7a78a6ea3ff3771c4bced03b7bb23844ae842375de26c

Observation 8a833124-78f1-4572-b208-0e05273f25b5 · outbound

This paper cites Low-rank adaptation for fast text-to- image diffusion fine-tuning.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Low-rank adaptation for fast text-to- image diffusion fine-tuning

Reference 26

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:04:34.569762Z digest=sha256:ea30e88e03d7b13cb82b2044628e1bf3b0893525ab677174c3dec59963e0b2f6

Observation 332fe31d-bf60-48a2-870a-e5ea5fb4eaaa · outbound

This paper cites Instant- booth: Personalized text-to-image generation without test- time finetuning.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Instant- booth: Personalized text-to-image generation without test- time finetuning

Reference 27

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raw_fallback, observed 2026-08-15T18:04:35.089506Z

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=2026-08-15T18:04:34.576578Z digest=sha256:e9b46350e0b1c1904ab40e10d8d387582d16119f5addc45e1b75c7bc885a926e

Observation 603fc371-18dc-4008-8652-361ea09efc4c · outbound

This paper cites P+: Extended Textual Conditioning in Text-to-Image Generation.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment P+: Extended Textual Conditioning in Text-to-Image Generation

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.581194Z digest=sha256:a9d1649680c4f10ba2ccebfe0266ebfce512a6c1d4e82d6c8dc9a24be816e750

Observation b1f10ccc-f9e3-47bf-a3c2-5209b71a598e · outbound

This paper cites Customizing 360-degree panoramas through text-to-image diffusion models.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Customizing 360-degree panoramas through text-to-image diffusion models

Reference 29

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raw_fallback, observed 2026-08-15T18:04:35.072733Z

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=2026-08-15T18:04:34.588125Z digest=sha256:11e33f9ed672e25a72aa464b58a9b971bb211e48f234d0982c93760c60c06c13

Observation 011ee7a2-0716-4016-b3e3-a2c6c2c55972 · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Motionctrl: A unified and flexible motion controller for video generation

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.596272Z digest=sha256:a565434e4b675d45a69030c9e859a824ad83f098afb073dbf8bb7a5cb42f4bff

Observation 86d7426a-490e-4e67-9b30-25e08e00da8d · outbound

This paper cites Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.601955Z digest=sha256:6cd41061afee761874c8a7b877aeb380de4a4a0973358dafd9da8fc32c200f93

Observation 4c12342b-94d5-4f36-8e3a-52e4b7bceb90 · outbound

This paper cites LayerPano3D: Layered 3D Panorama for Hyper-Immersive Scene Generation.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment LayerPano3D: Layered 3D Panorama for Hyper-Immersive Scene Generation

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.607344Z digest=sha256:405cea389e00d351875ac429a9cf2cfa066a5c1596112ca6c9fecb25ca70bab9

Observation c3ac06d2-c3b6-4cc3-bd08-1c5b7fca916a · outbound

This paper cites Space-time diffusion features for zero-shot text-driven motion transfer.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Space-time diffusion features for zero-shot text-driven motion transfer

Reference 33

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raw_fallback, observed 2026-08-15T18:04:35.021891Z

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=2026-08-15T18:04:34.614638Z digest=sha256:6c9698382234da62e0afc11f781f9a6b921647096ae7b7ee296107f511f4b770

Observation 6738a448-5c07-4141-ab66-d66c52a27686 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.620717Z digest=sha256:e9723b27e575e475ec967698c86ae3af71e89a3af9daadf31b1cae4ef66347bf

Observation c468e2d9-0d74-404a-96f3-f551a13ee0ba · outbound

This paper cites WonderWorld: Interactive 3D Scene Generation from a Single Image.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment WonderWorld: Interactive 3D Scene Generation from a Single Image

Reference 35

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no resolver link, observed 2026-08-15T18:04:34.627256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.627256Z digest=sha256:99ffd672e81af146b0fdf108c490c96ac87599c2c265364adc0f2bb10f484387

Observation 32cdb7c7-3047-42aa-821b-414a79a25273 · outbound

This paper cites Wonderjourney: Going from anywhere to everywhere.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Wonderjourney: Going from anywhere to everywhere

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:04:34.999319Z

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=2026-08-15T18:04:34.633099Z digest=sha256:490edee890a504f49631f855f4226c367873a00a04fb9c0f5048e20a277de5e1

Observation c5e13d90-2d48-40c6-9d3a-dbe7cfe1976e · outbound

This paper cites Taming stable diffusion for text to 360 panorama image generation.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Taming stable diffusion for text to 360 panorama image generation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:04:34.969270Z

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=2026-08-15T18:04:34.640065Z digest=sha256:777731fbd8484f1c581afb8e9d00dddd7adc4bdad5c390990aeb3e67b2b2a688

Observation 0c286114-62dc-4e21-b939-64b0164ed9b9 · outbound

This paper cites HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T18:04:34.644457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.644457Z digest=sha256:4a3e4db1b4b30555b973f86ef086fc7ef1c8360f11f41abb8b8d37ec64169def

Observation c1113d45-3b07-4860-8c70-eb84024df395 · outbound

This paper cites Dreamscene360: Uncon- strained text-to-3d scene generation with panoramic gaus- sian splatting.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Dreamscene360: Uncon- strained text-to-3d scene generation with panoramic gaus- sian splatting

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T18:04:34.649518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:34.649518Z digest=sha256:20152d5ce7ec7dadb0edb2c43b4c79f60a332680b8a3c95729ce024e5cee1378

Pith citing papers

No inbound Pith citation observations are available.