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Paper Citation Record · LEDGER

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.18877.

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

pith.paper-citation-record.v1
2412.18877 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:27:31.764340Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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  • verified fuzzy12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96b35456-ac83-4b32-ae1b-95ca65e67479 · outbound

This paper cites Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 1

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Unavailable: canonical work link unavailable.

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Observation ce2486c1-ed12-4618-bb45-74fe725604b6 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 2

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Observation c87014e9-57c5-48cd-a6ce-9b2aa70f251d · outbound

This paper cites FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation

Reference 3

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Observation ba1dc567-9b0a-4408-9dc3-675571af1758 · outbound

This paper cites Watch and match: Supercharging imitation with regularized optimal transport[C]//Conference on Robot Learning.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Watch and match: Supercharging imitation with regularized optimal transport[C]//Conference on Robot Learning

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6c912097-22be-4b92-9580-5ffd6df0bb75 · outbound

This paper cites Videodex: Learning dexterity from internet videos[C]//Conference on Robot Learning.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Videodex: Learning dexterity from internet videos[C]//Conference on Robot Learning

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 18b06be5-3246-4b63-817c-c311e7cacbb9 · outbound

This paper cites Denoising diffusion probabilistic models[J].

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Denoising diffusion probabilistic models[J]

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2c02bc88-2bf5-4b53-b1fc-52b06b74c47f · outbound

This paper cites Learning structured output representation using deep conditional generative models[J].

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Learning structured output representation using deep conditional generative models[J]

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 20b8eb09-f85c-4159-b521-d09a0ee09670 · outbound

This paper cites Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipula- tion[C]//Conference on Robot Learning.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipula- tion[C]//Conference on Robot Learning

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 37dddde6-e328-48e4-9c3b-e592f7cce2e7 · outbound

This paper cites Neural descriptor fields: Se (3)-equivariant object representations for manipulation[C]//2022 International Conference on Robotics and Automation (ICRA).

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Neural descriptor fields: Se (3)-equivariant object representations for manipulation[C]//2022 International Conference on Robotics and Automation (ICRA)

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6b766f24-82f0-4581-a982-92fbc266d030 · outbound

This paper cites Tax-pose: Task-specific cross-pose estimation for robot manipulation[C]//Conference on Robot Learning.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Tax-pose: Task-specific cross-pose estimation for robot manipulation[C]//Conference on Robot Learning

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6cdc68f0-d7d1-4435-9c32-5df45a9fe1c8 · outbound

This paper cites Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks

Reference 11

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Observation 14845518-eff5-450f-942f-c0ef66ff1ef2 · outbound

This paper cites Learning Distributional Demonstration Spaces for Task-Specific Cross-Pose Estimation.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Learning Distributional Demonstration Spaces for Task-Specific Cross-Pose Estimation

Reference 12

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verified exact
local_arxiv, observed 2026-08-11T04:27:31.904617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 431ddc5f-2891-41ae-b6f9-e6845d4c23e1 · outbound

This paper cites GenAug: Retargeting behaviors to unseen situations via Generative Augmentation.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion GenAug: Retargeting behaviors to unseen situations via Generative Augmentation

Reference 13

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Observation 4cc40d1a-dff4-446a-b14b-b3b704c9a171 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion[J].

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Diffusion policy: Visuomotor policy learning via action diffusion[J]

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1585e540-3684-4628-afc7-336f1a967d89 · outbound

This paper cites Scaling Robot Learning with Semantically Imagined Experience.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Scaling Robot Learning with Semantically Imagined Experience

Reference 15

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Unavailable: canonical work link unavailable.

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Observation e8eed1e2-09c3-4684-b429-63f035a8b867 · outbound

This paper cites Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrange- ment[C]//Conference on Robot Learning.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrange- ment[C]//Conference on Robot Learning

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation baab6b5c-4fe2-455e-9664-56886d610108 · outbound

This paper cites StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects

Reference 17

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Observation 73ece9bc-5b29-4d17-b8d1-ca5725a12656 · outbound

This paper cites Denoising Diffusion Probabilistic Models on SO (3) for Rotational Alignment[C]//ICLR 2022 Workshop on Geometrical and Topological Representation Learning.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Denoising Diffusion Probabilistic Models on SO (3) for Rotational Alignment[C]//ICLR 2022 Workshop on Geometrical and Topological Representation Learning

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7ed397bf-7e20-49b4-856c-904bf04237b8 · outbound

This paper cites Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4bb2aa8c-36b1-4d36-a74b-37d46e15d5b7 · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classifica- tion and Segmentation.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion PointNet: Deep Learning on Point Sets for 3D Classifica- tion and Segmentation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ebdac0ed-a373-48a8-adfc-1dc21750b173 · outbound

This paper cites Learning transferable visual models from natural language supervision[C]//International conference on machine learning.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion Learning transferable visual models from natural language supervision[C]//International conference on machine learning

Reference 21

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raw_fallback, observed 2026-08-11T04:27:31.980319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T04:27:31.755055Z digest=sha256:4a8719a3beb33ff09bf804859fb9c12a3dd526f6575b2825c02df62517bff44f

Observation f6308807-5835-42a5-bda0-959bb9d3b99b · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 22

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Observation 47eabf5b-2bb2-49b5-8bec-8ef9b4bce460 · outbound

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

Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion ShapeNet: An Information-Rich 3D Model Repository

Reference 23

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.