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Paper Citation Record · LEDGER

Learn2Fold: Structured Origami Generation with World Model Planning

As of 5 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2603.29585.

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

pith.paper-citation-record.v1
2603.29585 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T08:38:26.932267Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T06:58:59.863002Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T07:03:13.015730Z

Reference resolution

46 of 46 outbound references displayed

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  • verified fuzzy36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed8b2516-dd78-4072-9675-b2893f14991f · outbound

This paper cites Christensen, Hao Su, Jiajun Wu, and Yunzhu Li.

Learn2Fold: Structured Origami Generation with World Model Planning Christensen, Hao Su, Jiajun Wu, and Yunzhu Li

Reference 1

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 077d9dcf-63e9-4ef1-8712-7ea7b413397e · outbound

This paper cites Guided open vocabulary image captioning with constrained beam search.

Learn2Fold: Structured Origami Generation with World Model Planning Guided open vocabulary image captioning with constrained beam search

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0796b9d0-9e86-4636-a73d-da7e722c8f95 · outbound

This paper cites The complexity of flat origami.

Learn2Fold: Structured Origami Generation with World Model Planning The complexity of flat origami

Reference 3

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation cc966d5c-c7b2-42ef-930a-3983b71f2f12 · outbound

This paper cites Genie: Gen- erative interactive environments.

Learn2Fold: Structured Origami Generation with World Model Planning Genie: Gen- erative interactive environments

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e9a0a6fd-ad3d-49ba-8b79-722aa81d2b17 · outbound

This paper cites Ge- nie: Generative interactive environments.

Learn2Fold: Structured Origami Generation with World Model Planning Ge- nie: Generative interactive environments

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c926b6ba-2856-4743-a135-d121805e74fc · outbound

This paper cites Scene- dreamer: Unbounded 3d scene generation from 2d image collections.IEEE transactions on pattern analysis and ma- chine intelligence, 45(12):15562–15576.

Learn2Fold: Structured Origami Generation with World Model Planning Scene- dreamer: Unbounded 3d scene generation from 2d image collections.IEEE transactions on pattern analysis and ma- chine intelligence, 45(12):15562–15576

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f4199876-3e3b-411b-aaab-d8a5cd73cd2f · outbound

This paper cites Cambridge Uni- versity Press.

Learn2Fold: Structured Origami Generation with World Model Planning Cambridge Uni- versity Press

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 2a58a279-8034-4813-9b61-05fc94d57d58 · outbound

This paper cites Get3d: A generative model of high quality 3d tex- tured shapes learned from images.Advances in neural infor- mation processing systems, 35:31841–31854.

Learn2Fold: Structured Origami Generation with World Model Planning Get3d: A generative model of high quality 3d tex- tured shapes learned from images.Advances in neural infor- mation processing systems, 35:31841–31854

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 53dd866e-4b22-4a10-95ee-81458d8351dd · outbound

This paper cites Fast, interactive origami simulation using gpu compute shaders.

Learn2Fold: Structured Origami Generation with World Model Planning Fast, interactive origami simulation using gpu compute shaders

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d036e72b-8ff3-4019-aefc-3c30603188ea · outbound

This paper cites Learning latent dynamics for planning from pixels.

Learn2Fold: Structured Origami Generation with World Model Planning Learning latent dynamics for planning from pixels

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 24ff83fa-2a55-4ae2-bd3e-4987073ad261 · outbound

This paper cites Dream to control: Learning behaviors by la- tent imagination.

Learn2Fold: Structured Origami Generation with World Model Planning Dream to control: Learning behaviors by la- tent imagination

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c9727009-4a3b-4e8a-ab89-9bf0f7850430 · outbound

This paper cites an unresolved cited work.

Learn2Fold: Structured Origami Generation with World Model Planning Unresolved cited work

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 95a5c610-72de-400b-91ca-31e0de9bb308 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Learn2Fold: Structured Origami Generation with World Model Planning Lora: Low-rank adaptation of large language models

Reference 13

Resolution
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Source-reported events for the cited work

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Observation 05918a09-aa1a-4877-88f9-a5f563e093d0 · outbound

This paper cites Vistav2: World imagination for indoor vision-and-language navigation.

Learn2Fold: Structured Origami Generation with World Model Planning Vistav2: World imagination for indoor vision-and-language navigation

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 016d7c8a-a6bb-4d59-bae3-f5cd556a3a73 · outbound

This paper cites an unresolved cited work.

Learn2Fold: Structured Origami Generation with World Model Planning Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 27a95d7d-c77b-4344-a79c-bbf0a4db3f9e · outbound

This paper cites Image genera- tion from scene graphs.

Learn2Fold: Structured Origami Generation with World Model Planning Image genera- tion from scene graphs

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0b7c737c-8bdd-4f9a-ba47-3751f0051d2b · outbound

This paper cites Ln3diff++: Scalable latent neural fields diffusion for speedy 3d generation.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, page 1–18.

Learn2Fold: Structured Origami Generation with World Model Planning Ln3diff++: Scalable latent neural fields diffusion for speedy 3d generation.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, page 1–18

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 3eb1de42-cb6c-437f-8c2f-3bccf9f7323b · outbound

This paper cites CRC Press, 2 edition.

Learn2Fold: Structured Origami Generation with World Model Planning CRC Press, 2 edition

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f56f2314-8dd4-430c-bf3c-fbd5f99d4dcb · outbound

This paper cites Learning fabric manipulation in the real world with human videos.

Learn2Fold: Structured Origami Generation with World Model Planning Learning fabric manipulation in the real world with human videos

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7fb05584-9c62-4a85-ac07-8ac2740f0cea · outbound

This paper cites Step1x-3d: Towards high-fidelity and controllable generation of textured 3d assets.

Learn2Fold: Structured Origami Generation with World Model Planning Step1x-3d: Towards high-fidelity and controllable generation of textured 3d assets

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation bdc4fe32-8217-47fc-8d0a-84c1933c60dc · outbound

This paper cites Folding deformable objects using predictive simulation and trajectory optimization.

Learn2Fold: Structured Origami Generation with World Model Planning Folding deformable objects using predictive simulation and trajectory optimization

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 64b407a4-4cf3-4a7b-a0c4-17ace3c6bcf0 · outbound

This paper cites TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models.

Learn2Fold: Structured Origami Generation with World Model Planning TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d26d65e1-95ef-42c4-87ac-b5c222cf67f8 · outbound

This paper cites Learning a General Model: Folding Clothing with Topological Dynamics.

Learn2Fold: Structured Origami Generation with World Model Planning Learning a General Model: Folding Clothing with Topological Dynamics

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 50e950c9-8e1a-4607-8fe8-949ba321f081 · outbound

This paper cites From pixels to predicates structur- ing urban perception with scene graphs.

Learn2Fold: Structured Origami Generation with World Model Planning From pixels to predicates structur- ing urban perception with scene graphs

Reference 24

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation adcca632-8249-437e-89ba-234eba189f64 · outbound

This paper cites an unresolved cited work.

Learn2Fold: Structured Origami Generation with World Model Planning Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a9109ca8-55e8-43ef-ab0b-4a7e16db5f0e · outbound

This paper cites Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding.

Learn2Fold: Structured Origami Generation with World Model Planning Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c3394c61-6c26-436d-9a5f-af44a945227b · outbound

This paper cites 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models.

Learn2Fold: Structured Origami Generation with World Model Planning 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

Reference 27

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 24329ffe-a5eb-42d4-a75a-8b6149fa8fe2 · outbound

This paper cites Generating physically sta- ble and buildable brick structures from text.

Learn2Fold: Structured Origami Generation with World Model Planning Generating physically sta- ble and buildable brick structures from text

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation df214ef3-2cb1-4214-ab9a-a35b673007d5 · outbound

This paper cites Offline reinforcement learning from images with latent space models.

Learn2Fold: Structured Origami Generation with World Model Planning Offline reinforcement learning from images with latent space models

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e2c3a0f6-dc0c-45d4-b359-5ffb4ead5097 · outbound

This paper cites Hierarchical text-conditional image gener- ation with clip latents.

Learn2Fold: Structured Origami Generation with World Model Planning Hierarchical text-conditional image gener- ation with clip latents

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a2646135-07a7-476d-bdcb-54567d96f10b · outbound

This paper cites Avid: Adapting video diffusion models to world models.

Learn2Fold: Structured Origami Generation with World Model Planning Avid: Adapting video diffusion models to world models

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a0890094-c527-4e5f-a025-209029f915f2 · outbound

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

Learn2Fold: Structured Origami Generation with World Model Planning High-resolution image syn- thesis with latent diffusion models

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 081491c5-51c9-4d68-87a7-19c859020416 · outbound

This paper cites OpenAI GPT-5 System Card.

Learn2Fold: Structured Origami Generation with World Model Planning OpenAI GPT-5 System Card

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:69804a00b945deba0c7e1a24146e983755c672071aa396923d7db6f027ab5d34

Observation d255c145-7606-4a12-a5f6-e475e596eedb · outbound

This paper cites Simulation of rigid origami.

Learn2Fold: Structured Origami Generation with World Model Planning Simulation of rigid origami

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:47.062791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:c7b392b55cc9c6036519afb855574b8020689fed46ff7d632b9f69890a79d69b

Observation 1ccbb694-e690-4db1-ac96-17467efa8dff · outbound

This paper cites Freeform variations of origami.Journal for Geometry and Graphics, 14(2):203–215.

Learn2Fold: Structured Origami Generation with World Model Planning Freeform variations of origami.Journal for Geometry and Graphics, 14(2):203–215

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:47.007687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:28700fc08a7331bb8460c358b57016ef868cf4a86bcfb054de8baf5891619f2b

Observation 72c5fa3d-6495-4847-85ab-b3154121e39b · outbound

This paper cites Rt-2: Vision-language-action mod- els transfer web knowledge to robotic control.

Learn2Fold: Structured Origami Generation with World Model Planning Rt-2: Vision-language-action mod- els transfer web knowledge to robotic control

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:46.985797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:0cf03e4688ac27e9a3a79525093fc94e778bf88cd5aefd4316f59e7a696db760

Observation be368617-e268-4dce-a139-b266bee1b287 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Learn2Fold: Structured Origami Generation with World Model Planning Gemini: A Family of Highly Capable Multimodal Models

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-16T08:40:46.412330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:b7210ce24c48170571e17a9d9e83f01f3686e1b5b3d8385be7651a0050ecd9c5

Observation 8f634543-aa4d-4b8e-a2b1-9d9d7b7ce0e6 · outbound

This paper cites Gemini robotics: Bringing ai into the physical world.

Learn2Fold: Structured Origami Generation with World Model Planning Gemini robotics: Bringing ai into the physical world

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:47.012066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:f045cbea795051573b59a2c3646d244deae5c4696d87dcd69f1492cc72dfee24

Observation b8ee5286-24f8-4922-bb6c-d56b9c6a39d3 · outbound

This paper cites Gpt-4 technical report.

Learn2Fold: Structured Origami Generation with World Model Planning Gpt-4 technical report

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:46.999215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:629664f23c9bd8495e13e2fab042683a66eaae37f9e839b7da7c33ac26a0ccb9

Observation 82d08a31-c33a-4ee5-938b-11790776ed26 · outbound

This paper cites Qwen3 technical report.

Learn2Fold: Structured Origami Generation with World Model Planning Qwen3 technical report

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:47.001652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:635bd8ab576331cbeaad115fd5525460cfae20eb0565c56aaf84fb5d0b8e0948

Observation c01b6d49-6a01-4e00-9fbb-9572f35008b5 · outbound

This paper cites Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation.

Learn2Fold: Structured Origami Generation with World Model Planning Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:40:46.420823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:9ea1bdb64a33c81f9994844682d0e8d55357a4373f5b4ee9068d2c42083b196b

Observation 7f4acdbd-1f6e-4e10-af9d-5b99623501c6 · outbound

This paper cites Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion.

Learn2Fold: Structured Origami Generation with World Model Planning Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:47.004533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:ee9737fd5d95f13c6a7a39d94050d924fcebce47103893a60e37aaa6d476ea96

Observation 8a291eaf-8ed1-4f51-9e1a-2178ee1a4584 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in neural information processing systems, 36: 8406–8441.

Learn2Fold: Structured Origami Generation with World Model Planning Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in neural information processing systems, 36: 8406–8441

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:47.010706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:dd139d09a3006cbcc51700ecacff9ceaca64c1f0e00a82020c1456069ec158a0

Observation a41c0d67-c4a1-4e3f-8b7b-72b6e130d416 · outbound

This paper cites Scene graph generation by iterative message passing.

Learn2Fold: Structured Origami Generation with World Model Planning Scene graph generation by iterative message passing

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:46.991595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:ecd1eaa3834ed845b9099e58c3e224b4e8d65e151be7c3cc3af0ccfc3db84f76

Observation 9dcb8ad6-f987-464e-a61c-6850df2d4d1d · outbound

This paper cites Control image captioning spatially and tempo- rally.

Learn2Fold: Structured Origami Generation with World Model Planning Control image captioning spatially and tempo- rally

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:46.994055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:89f278020d66c6556d57bee79cf1736d168adcca71b3d06955adb34e17733b3b

Observation a5bffcd8-ebb0-4049-899e-917a4cf06237 · outbound

This paper cites Vision-language models for vision tasks: A survey.

Learn2Fold: Structured Origami Generation with World Model Planning Vision-language models for vision tasks: A survey

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T08:40:47.045885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:38:26.932267Z digest=sha256:8fde6b0feae49adf0d5c7a04dededd8e104d7e85aa0b23e8ab217572eb2d1746

Pith citing papers

Observation 8945fb37-81c9-4032-9068-bf26e3c05ab4 · inbound

PhyDrawGen: Physically Grounded Diagram Generation from Natural Language cites this paper.

PhyDrawGen: Physically Grounded Diagram Generation from Natural Language Learn2Fold: Structured Origami Generation with World Model Planning

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:03:13.016982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-29T06:58:59.863002Z digest=sha256:c9db98925ec2802d77d809ac0947cc6b3727e29d57379aa656f2ffc96755bca5