Paper Citation Record · LEDGER

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2412.14957.

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

pith.paper-citation-record.v1
2412.14957 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:26:51.643090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:29:59.475296Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9fb1f6b8-0a41-4245-93a9-651ef416b2cb · inbound

DSG-World: Learning a 3D Gaussian World Model from Dual State Videos cites this paper.

DSG-World: Learning a 3D Gaussian World Model from Dual State Videos Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:51.643090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1cfab95-c679-4f6f-987d-f6c4c5860ad4 · inbound

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations cites this paper.

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:37:07.511652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1a8c74f8-18d5-443f-97f9-11b686d610c5 · inbound

Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen) cites this paper.

Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen) Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T00:02:31.187504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a78cd3e5-3f11-406e-ac60-cd358264711d · inbound

Calib3R: A 3D Foundation Model for Multi-Camera to Robot Calibration and 3D Metric-Scaled Scene Reconstruction cites this paper.

Calib3R: A 3D Foundation Model for Multi-Camera to Robot Calibration and 3D Metric-Scaled Scene Reconstruction Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T20:10:47.041149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0b90d89-0315-4bc6-8bfa-50ecf9200305 · inbound

DynaMimicGen: A Data Generation Framework for Robot Learning of Dynamic Tasks cites this paper.

DynaMimicGen: A Data Generation Framework for Robot Learning of Dynamic Tasks Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T21:14:41.900382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b44fa46-c46d-4199-a2f3-bd73d42ce3ab · inbound

RISE: Self-Improving Robot Policy with Compositional World Model cites this paper.

RISE: Self-Improving Robot Policy with Compositional World Model Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:30:32.170401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d88aa355-7d6f-4b67-a868-e2344ec9921d · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:12:25.959046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5c5d62da-fd1a-4ef6-9e54-5390a1bb102a · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:08.098939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d39c9ab0-4721-4659-9d28-54f15ec2761b · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:29:59.476852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 97c09873-e04c-4b6b-9768-7da785640fcb · inbound

GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning cites this paper.

GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:51:17.313343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cb126e53-c21e-4bb5-bac8-209655f460fd · inbound

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling cites this paper.

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:27.818836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1d5134cf-cc1e-4bb8-acbf-ab187233f924 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:02:17.932798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c63c8a4-492d-4cb2-a25b-af0702ea9979 · inbound

Physically Viable World Models: A Case for Query-Conditioned Embodied AI cites this paper.

Physically Viable World Models: A Case for Query-Conditioned Embodied AI Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:13:16.554867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3410ada4-5465-4ec2-9c7e-715856e03fa2 · inbound

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications cites this paper.

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 269

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:43:15.731183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c7b375d8-b280-4539-a969-4a74321fe3ef · inbound

ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splatting cites this paper.

ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splatting Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:36.659699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f2aa1961-0273-42c8-93be-bfc9af42f309 · inbound

EA-WM: Event-Aware World Models with Task-Specification Grounding for Long-Horizon Manipulation cites this paper.

EA-WM: Event-Aware World Models with Task-Specification Grounding for Long-Horizon Manipulation Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:48:35.296328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6f808ad-2983-41df-851c-78b3072c1fac · inbound

DemoBridge: A Simulation-in-the-Loop Toolkit for Single-View Human Demonstration Retargeting cites this paper.

DemoBridge: A Simulation-in-the-Loop Toolkit for Single-View Human Demonstration Retargeting Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T02:27:11.100340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.