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Paper Citation Record · LEDGER

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data

As of 19 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2505.20460.

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

pith.paper-citation-record.v1
2505.20460 v2

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:58:58.839940Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T13:44:41.461355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:54:44.225734Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8403e227-dcc8-4b38-9082-2b76ddc437ac · outbound

This paper cites GPT-4 Technical Report.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-07T13:58:52.513678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:52.513678Z digest=sha256:88cda4a96cf1f037601cca82d9f0df467b4eda5ef2f338b7958f9018f759d3c0

Observation d89c4744-7438-44fe-846e-99031e3e89a0 · outbound

This paper cites Parametric correspondence and chamfer matching: Two new techniques for image matching.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Parametric correspondence and chamfer matching: Two new techniques for image matching

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T13:59:06.517023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:52.592088Z digest=sha256:340e372c4d3963153102f8a2d411586d7106a389eef65cec1a2b4ccb42c6953d

Observation 44419880-dab9-47cd-ba1d-858fc50b899f · outbound

This paper cites Language models are few-shot learners.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Language models are few-shot learners

Reference 3

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no resolver link, observed 2026-08-07T13:58:52.654141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:52.654141Z digest=sha256:926b80f6bfbafee691dab307bec57268828d01bf6f95c08015eef84ea0d65dd0

Observation 711bda7a-4d5d-4ae9-8439-2641418b90f7 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data ShapeNet: An Information-Rich 3D Model Repository

Reference 4

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no resolver link, observed 2026-08-07T13:58:52.761108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:52.761108Z digest=sha256:a81a3d56082c336bce5ce39f6a9e047d2c7b54377a83e13d9779fa3c21bb6417

Observation c68d39ca-1102-46bb-a89f-d82c944f15eb · outbound

This paper cites Fast-snarf: A fast deformer for articulated neural fields.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Fast-snarf: A fast deformer for articulated neural fields

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:06.344229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:52.875718Z digest=sha256:42c86c499079ae01199ee8ed8a8546351f47c031b59bfa789109ea8e4666457a

Observation 2c44abcb-add7-4fbb-9649-3a7aaaf434d6 · outbound

This paper cites URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images

Reference 6

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no resolver link, observed 2026-08-07T13:58:52.985830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:52.985830Z digest=sha256:cdc756ad59e16d7016550466e121ef8fd80266bf4a2f5eda19cb3d7c6bf44186

Observation c8803ea9-47e7-4067-bdc3-96aaa773516c · outbound

This paper cites Abo: Dataset and benchmarks for real-world 3d object understanding.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Abo: Dataset and benchmarks for real-world 3d object understanding

Reference 7

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no resolver link, observed 2026-08-07T13:58:53.064620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:53.064620Z digest=sha256:7334d58a525d1fd0ae0f773985b8e2c1c8a0e26ee9d89030bb30505e207389f6

Observation cd462fe5-5c17-4f22-a132-10733463477f · outbound

This paper cites 3d-future: 3d furniture shape with texture.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data 3d-future: 3d furniture shape with texture

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:06.085380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:53.118141Z digest=sha256:bff616ea43b3b2db4856d6aab630898b91654568fda39bbf0b15726c438c8192

Observation da62ce40-3faa-4ebd-8b6f-86c6c2b8803c · outbound

This paper cites Act the part: Learning interaction strategies for articulated object part discovery.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Act the part: Learning interaction strategies for articulated object part discovery

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:53.166904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:53.166904Z digest=sha256:a7c86aea9540b969b7b4fd8776881857b4844a0899c4bc4e504174450d1add96

Observation 252630f9-8f36-4515-a5c4-596d22d0aa37 · outbound

This paper cites Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:05.839370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:53.206406Z digest=sha256:f95620380756383387024719a336347244aa9b5c2d5e0905389eb9642ad5d6d7

Observation cc441c2f-27eb-4eba-baac-e16ca9dfeab2 · outbound

This paper cites Active articulation model estimation through interactive perception.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Active articulation model estimation through interactive perception

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:05.604570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:53.249303Z digest=sha256:ac503c2894962dab0774f023eb880d2b100133d8ad17d7146136d68066af2944

Observation c8ed7418-68ce-4104-a99a-7673dfe9cd6d · outbound

This paper cites Denoising diffusion probabilistic models.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Denoising diffusion probabilistic models

Reference 12

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no resolver link, observed 2026-08-07T13:58:53.349767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:53.349767Z digest=sha256:224319e11e2049c744b74095569fbe94ae1beea1cc885e1256c23003f7808d9b

Observation 7e7280f2-0781-461d-abdd-edf84c36fc5f · outbound

This paper cites Learning to predict part mobility from a single static snapshot.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Learning to predict part mobility from a single static snapshot

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:05.430114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:53.467181Z digest=sha256:266aa604bd85b2a49140309df2fe7ab74b265c66807d33571e59a16458e67636

Observation c2ef0379-6669-438c-8ae0-8dcd43575f60 · outbound

This paper cites S2O: Static to Openable Enhancement for Articulated 3D Objects.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data S2O: Static to Openable Enhancement for Articulated 3D Objects

Reference 14

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unresolved
no resolver link, observed 2026-08-07T13:58:53.560756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:53.560756Z digest=sha256:f57081ceb84dbec19da194c5d41fd4bbbdfab99e9e509eae45c9aa839a1a6b4d

Observation 2e4a7aea-5e49-4d5f-908a-63c98ee90454 · outbound

This paper cites Habitat synthetic scenes dataset (hssd-200): An analysis of 3d scene scale and realism tradeoffs for objectgoal navigation.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Habitat synthetic scenes dataset (hssd-200): An analysis of 3d scene scale and realism tradeoffs for objectgoal navigation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:05.255232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:53.668796Z digest=sha256:239501545b5481e996345c3fd7fcca2e366a109e923a8d1802eb3c9bed2ec41d

Observation 0c74efcb-e609-4acf-a83e-8aa87027e5ae · outbound

This paper cites ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions

Reference 16

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no resolver link, observed 2026-08-07T13:58:53.762787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:53.762787Z digest=sha256:00bb826bd6d48d07fe0c168c53c28b29d8a6217124ebd8e1fa2824ac74a16602

Observation 7993e2e1-9204-4701-b625-588b4b9c2967 · outbound

This paper cites Large language models are zero-shot reasoners.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Large language models are zero-shot reasoners

Reference 17

Resolution
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no resolver link, observed 2026-08-07T13:58:53.880011Z

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source=pdf_text observed=2026-08-07T13:58:53.880011Z digest=sha256:3030e97de99079508828bc6fa1240b704f8be42de7074c963e88501b4c37b408

Observation f15fdc2d-8421-44c9-9dfe-27c784e37dcf · outbound

This paper cites Nap: Neural 3d articulated object prior.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Nap: Neural 3d articulated object prior

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:05.109367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:53.956160Z digest=sha256:6e2d7bff85bb006c30903bf881d8b29551d0d5c771dfd038dc62fcd56f8eb6b1

Observation 830e8b50-ddfb-44da-9207-b7e907683e02 · outbound

This paper cites iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

Reference 19

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no resolver link, observed 2026-08-07T13:58:54.079179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:54.079179Z digest=sha256:6817293d5a8e11c1a5bdeec74f14f262a09ce996e996d7818d2b5c60bc226130

Observation 631fd3ac-a533-4713-b330-a3dca925230d · outbound

This paper cites Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:04.961716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:54.205439Z digest=sha256:230fd9682c83fec6dc19ce0de0162189e0f7d0f3eb141c34527fc6269d51e42f

Observation 08d8d278-6a93-4e48-874a-a61aacd0570b · outbound

This paper cites Animatable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Animatable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:04.778851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:54.332287Z digest=sha256:7a430a6959bbcc0334ebead40702b719956245b5d37b41fd778dd33749d0ff4b

Observation b68e0db8-c3c6-4bfe-a455-73021b7fd9cf · outbound

This paper cites Paris: Part-level reconstruction and motion analysis for articulated objects.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Paris: Part-level reconstruction and motion analysis for articulated objects

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:04.612044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:54.428474Z digest=sha256:a436c0b6824519fa46e24f192b6b8e7661918e7e42c9a79b54d85cc14ff17328

Observation b7980438-1771-4bff-a317-f60223a06b8e · outbound

This paper cites SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects

Reference 23

Resolution
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no resolver link, observed 2026-08-07T13:58:54.521822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:54.521822Z digest=sha256:d29e480801b9247d05a3e008dcadd561af72014885fcca7117bda224860e9993

Observation ae9a8c6c-fd97-4e9e-b3f3-316c2062696a · outbound

This paper cites Cage: controllable articulation generation.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Cage: controllable articulation generation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:04.395049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:54.644893Z digest=sha256:cf44bd1ac3db562b54ce66eecfa9ed0e1d8691d8da2649c0641fba1362caff7f

Observation 3c100629-e1b5-44f8-aec2-a553ef464c4a · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 25

Resolution
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no resolver link, observed 2026-08-07T13:58:54.740004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:54.740004Z digest=sha256:1ceb49a397729895b4cf928c663a520154ee1cd29b9696ef6bcf2ed5721a8c10

Observation 2c7f8493-128b-431c-86f6-bf9134cc8063 · outbound

This paper cites Decoupled Weight Decay Regularization.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Decoupled Weight Decay Regularization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:54.878344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:54.878344Z digest=sha256:f8d1849fc1bbe3259f0fbb86a132d890409652ff92f5b8f59a559f867a5af6cb

Observation e3fe0bbf-8d14-46c1-b819-e6c27c02183b · outbound

This paper cites Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:04.206126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:54.946125Z digest=sha256:5809086a09f840eace556fa87217b709ae5cdadcc222057402d928372e54f060

Observation b2b1b910-3917-4883-9ce1-465b8f571509 · outbound

This paper cites Where2act: From pixels to actions for articulated 3d objects.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Where2act: From pixels to actions for articulated 3d objects

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:04.010551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:54.952992Z digest=sha256:891ea269948d087eefa2731b91367944c84471ad646568c629865268678d8993

Observation 0d290181-96e0-4f93-9a16-a17abda7f4e8 · outbound

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

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data DINOv2: Learning Robust Visual Features without Supervision

Reference 29

Resolution
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no resolver link, observed 2026-08-07T13:58:55.024533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:55.024533Z digest=sha256:7af82c80fcb6cb9090b614c2b10146eaa6f77c5ca80041f4309c8baa55a2a123

Observation fa838408-f41d-410f-9e75-88ddafd18800 · outbound

This paper cites Scalable diffusion models with transformers.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Scalable diffusion models with transformers

Reference 30

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no resolver link, observed 2026-08-07T13:58:55.093948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:55.093948Z digest=sha256:f0047cc395fe577e633b0cf89db88de810d6723250bcb617519e7f250a939cc8

Observation 610c4acf-dcb3-48ca-ba3e-c704c829a363 · outbound

This paper cites Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:55.213033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:55.213033Z digest=sha256:bec8770897d3a0144c323f04cdc8a3a43bd32c6556e59a26e324d9afbcd92c9f

Observation 0ebc56a7-a256-448d-a26d-e732db92ea56 · outbound

This paper cites Understanding 3d object interaction from a single image.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Understanding 3d object interaction from a single image

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:03.862898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:55.376881Z digest=sha256:5fc3e4751e6f79a8636ac04adbb5c02a89febd53bfbf3ce99f7a46f9e04340f8

Observation 043138dd-95d9-4931-8b36-344f8a8f8bc2 · outbound

This paper cites 3dgs-avatar: Animatable avatars via deformable 3d gaussian splatting.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data 3dgs-avatar: Animatable avatars via deformable 3d gaussian splatting

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:03.708253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:55.490052Z digest=sha256:c62bd71ebdd7d9a431432b7da16c199a1413a53a1378c6443d3619f0bed76723

Observation 71b2a0da-8873-44c7-9507-c6180d15ddd4 · outbound

This paper cites O’Reilly Media, Inc.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data O’Reilly Media, Inc

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:03.437859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:55.645762Z digest=sha256:be315d4106a3eb4797c440edbc073f9de77c2d2d94c12c5c22763854d71d4636

Observation 18a075fb-16bc-4ec8-aef4-35ed6991b50a · outbound

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

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data High-resolution image synthesis with latent diffusion models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:55.727339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:55.727339Z digest=sha256:ca12e0ac77e54eed4a03e833ec68e8ab0d837af3dac0ae6372174ef35e35e055

Observation 423f6b8f-f130-4dde-9e74-5e9aefc849f8 · outbound

This paper cites igibson 1.0: A simulation environment for interactive tasks in large realistic scenes.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data igibson 1.0: A simulation environment for interactive tasks in large realistic scenes

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:03.184266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:55.841332Z digest=sha256:dfb0cbf2941966b7659290e11c14a2b83e3cde713bdfa22e4c6ce708e4866f6d

Observation f13f36fc-792a-40ef-b1c1-2d0bcca5185e · outbound

This paper cites Denoising Diffusion Implicit Models.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Denoising Diffusion Implicit Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:55.977486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:55.977486Z digest=sha256:006d8541a110babecece9144b6db2a4c9d03f346274f7d47eb57af00354a6a02

Observation 43712f80-11b3-4342-a9f6-c95d2d4b5722 · outbound

This paper cites 3d warehouse, 2025.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data 3d warehouse, 2025

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:02.933293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:56.085479Z digest=sha256:c19d73f52ee1a4ff14edfad9877262852ee52a7307cee51b2a22e1271a61b2b5

Observation 87e8ab72-f962-4e01-95b9-3cfa820969a1 · outbound

This paper cites Cla-nerf: Category-level articulated neural radiance field.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Cla-nerf: Category-level articulated neural radiance field

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:02.729487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:56.202471Z digest=sha256:9480abc52c7bee768129e148b346692c56eeb4367f00b12853b6fe3809764f0b

Observation e02fe23a-7376-4940-bae5-074ee19fa3df · outbound

This paper cites Shape2motion: Joint analysis of motion parts and attributes from 3d shapes.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Shape2motion: Joint analysis of motion parts and attributes from 3d shapes

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:02.492840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:56.324542Z digest=sha256:03c909c4cc4dd35663bc2f7b03fa72e3109f8ed38785fd42a8f6ce385a9c0974

Observation de4a911c-da85-4fdb-b88e-89a672dda5a8 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Chain-of-thought prompting elicits reasoning in large language models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:56.446262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:56.446262Z digest=sha256:c53b668dbca6e6556289e88d356122c114a5250b5ecab773633cb58c7babb48d

Observation e691ca21-04b2-46b7-97b1-627ee19c5a34 · outbound

This paper cites Photo wake-up: 3d character animation from a single photo.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Photo wake-up: 3d character animation from a single photo

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:02.304650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:56.580015Z digest=sha256:075e6739793fb467c3f31774998fd3644146e7fa5dd8a7461e6e1574721f0cdd

Observation a3ca9a03-3fbd-4928-b109-72b90396d845 · outbound

This paper cites Neural implicit representation for building digital twins of unknown articulated objects.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Neural implicit representation for building digital twins of unknown articulated objects

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:02.012583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:56.698914Z digest=sha256:502c5d80f58a4a44a9d4193bfe634563f70b5b206154273effd2d1de48615de0

Observation da187e9d-bc0d-4538-9562-f6c2ad21be44 · outbound

This paper cites Model soups: aver- aging weights of multiple fine-tuned models improves accuracy without increasing inference time.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Model soups: aver- aging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:01.713453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:56.828389Z digest=sha256:f4f8adb5c2754a911121540d1cfb7fb018248b3dc33d238cb0fbbb5960a55dfa

Observation b39392b0-09a6-4319-926b-69d5cbd11589 · outbound

This paper cites Lamp: Learn a motion pattern for few-shot video generation.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Lamp: Learn a motion pattern for few-shot video generation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:01.484509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:56.924980Z digest=sha256:5ca75bc76511566065ddccf98d058e1fb2fde92ff82cc95cdf8b6b383fd5bcfa

Observation a71ad429-aa84-40f1-a470-a867234bc5db · outbound

This paper cites Sapien: A simulated part-based interactive environment.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Sapien: A simulated part-based interactive environment

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:57.047231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:57.047231Z digest=sha256:322f3e7acb81eca76c636094c2f795dd0f609e968b721db29e11e6d7deea3d66

Observation cd881f58-327f-4c92-bc09-fe1509e8f428 · outbound

This paper cites RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:57.156529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:57.156529Z digest=sha256:179659d7f94be9d181231f86ffb4d6c8a100488dc10061e0aaccfbe9c05e1eac

Observation 11e8bc64-ab43-47ca-a1ff-ef86c754f759 · outbound

This paper cites Banmo: Building animatable 3d neural models from many casual videos.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Banmo: Building animatable 3d neural models from many casual videos

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:01.227881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:57.299481Z digest=sha256:2f5cf4c45cdefbd5219a92beec0ffaba1c5f8e5dfbd9fe2eda7b8c3aa43ab930

Observation a983a09d-7649-4f17-a7e7-ae3e7be18201 · outbound

This paper cites Object wake-up: 3d object rigging from a single image.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Object wake-up: 3d object rigging from a single image

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:01.006403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:57.416807Z digest=sha256:64592c9edc7fd1a8ffc3664283a4be96308017955bf1e226367d8324ccc4f76c

Observation c2fb1e50-9b55-4212-a723-8734787724e4 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Adding conditional control to text-to-image diffusion models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:57.522432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:57.522432Z digest=sha256:c5a66dd5f23fb355a0b35652470852296aaf0ef7dc51c1313b90a2d3e489623b

Observation d0757067-258f-4287-96b3-276dec6d625a · outbound

This paper cites AR-1-to-3: Single Image to Consistent 3D Object Generation via Next-View Prediction.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data AR-1-to-3: Single Image to Consistent 3D Object Generation via Next-View Prediction

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:57.660858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:57.660858Z digest=sha256:624e35047d2c9afcec40c2bf95efce3496bd956541b824da4f6030ad1fafe0e4

Observation 6eae711f-ad6f-4b2f-aba6-0fd5cb2a93f5 · outbound

This paper cites an unresolved cited work.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:59:00.748982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:57.772089Z digest=sha256:abbb201b2e26d1b68d4f02be4aa25d4e4d82090cefac77e9bd528568a63ca7c2

Observation 0854c5b0-fc5a-46de-a589-4c64147d361b · outbound

This paper cites Workflow:.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Workflow:

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:00.526028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:57.875176Z digest=sha256:7fc600515dbb421379c152ecf5c8be1fbd9cab60747f6084f3e947acf42ce9b9

Observation 53c461db-af22-4409-a5cf-5c3f85140ef2 · outbound

This paper cites base"; "tray.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data base"; "tray

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:00.347857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:57.948734Z digest=sha256:df5c0f2460d17dd094e34dd1e0e412eabad907ac18baea5e2c1df05630f709d8

Observation be043be5-f116-4fcb-8b6c-9a21a26bcf4c · outbound

This paper cites drawer_1 (attached to base).

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data drawer_1 (attached to base)

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:00.123705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:58.062976Z digest=sha256:ee0a3089454093ee7ce06414b24e4d388e0cf99489cbd7328b35b254bfc745d1

Observation a6798948-3232-4f7e-beea-62c44ce9fa2a · outbound

This paper cites an unresolved cited work.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:59:00.022105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:58.164512Z digest=sha256:e7c9be23d978270172e0ab147d11bf5c56e58a9e2c05c398b62258e1c8650a21

Observation 82d6ed71-4885-4106-ad46-0fda2bce3d4d · outbound

This paper cites an unresolved cited work.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:59.955216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:58.268341Z digest=sha256:56bb287aee5ee23c25ec667417ead1551de22344e3ac7442044cd5df34350830

Observation 8d76d677-a245-4cca-9a8d-87e06c535e11 · outbound

This paper cites an unresolved cited work.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:59.803757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:58.425164Z digest=sha256:98772b013d9f72d3b28b25feca75611de703372368e63ae8cf6a4de80897a73d

Observation 31e891c9-28a5-470c-9ab9-d14cac2a46fb · outbound

This paper cites The other one focus on joint-level augmentation:.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data The other one focus on joint-level augmentation:

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:58:59.638280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:58.578198Z digest=sha256:7fe83c48edb7da000356ffab2abc73f4291899b76fc3ae48537f535d000b56a6

Observation 159387ab-cea3-44e5-a97a-f49a9b28b4b9 · outbound

This paper cites an unresolved cited work.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:59.452274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:58.706456Z digest=sha256:d321dee92b8f417163aec3fdf0ac781e0e000c2acd707c24090fc86721e77e06

Observation 3f783b65-2f16-484d-91d8-106d0be97f17 · outbound

This paper cites an unresolved cited work.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:59.277233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:58.777428Z digest=sha256:d4147ebc6819f0b17d2feaa8b24e17c9cc2f7e1c80c5851a9cb30e262443bb4b

Observation 81333e8a-ebfd-4a5d-be82-360a03e959c3 · outbound

This paper cites E Limitations & Future Work We follow the experimental settings of SINGAPO [23] for a fair comparison.

DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data E Limitations & Future Work We follow the experimental settings of SINGAPO [23] for a fair comparison

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:58:59.147526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:58:58.839940Z digest=sha256:0888381d6e7dc7f89e3089f6c053f2283db94b62e0d20ad7551f051d0e4df255

Pith citing papers

Observation 3296696a-f80d-4137-90ef-686c5e527d80 · inbound

Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects cites this paper.

Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:54:44.227260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T13:44:41.461355Z digest=sha256:ed364b619ea9238ea406eba5d12d00aeb4174ef88d1f940492534a8406d94c3d