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Paper Citation Record · LEDGER

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding

As of 12 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 3 inbound Pith citation observations for arXiv:2411.19626.

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

pith.paper-citation-record.v1
2411.19626 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

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measured 71 of 71 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 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.

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Reference resolution

68 of 68 outbound references displayed

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External citation measurements

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Outbound references

Observation 109bb514-ed7b-4d3d-a898-c58c27f03cd4 · outbound

This paper cites Cross- modal learning for image-guided point cloud shape comple- tion.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Cross- modal learning for image-guided point cloud shape comple- tion

Reference 1

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Observation 9a61d1c3-4e27-4272-9dad-23c1451aa12f · outbound

This paper cites PartAfford: Part-level Affordance Discovery from 3D Objects.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding PartAfford: Part-level Affordance Discovery from 3D Objects

Reference 2

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Observation c2082006-7463-46e7-b22e-62c3318b03a1 · outbound

This paper cites WorldAfford: Affordance Grounding based on Natural Language Instructions.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding WorldAfford: Affordance Grounding based on Natural Language Instructions

Reference 3

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Observation 2485d54c-c721-4f28-907a-9d68d20abc0a · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 4

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Observation 348db58c-4308-46ae-b32f-eca520451bc3 · outbound

This paper cites Objaverse: A Universe of Annotated 3D Objects.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Objaverse: A Universe of Annotated 3D Objects

Reference 5

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Observation 45f4506a-6af2-4a2e-9232-31b756ebdc7f · outbound

This paper cites 3d affordancenet: A benchmark for visual object affordance understanding.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding 3d affordancenet: A benchmark for visual object affordance understanding

Reference 6

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Observation ad30ad3d-6dae-46cb-9b41-d375a02eae79 · outbound

This paper cites Gick and Keith J.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Gick and Keith J

Reference 7

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Observation 5c84aa6d-cee5-4f7c-b433-84d8ecb6d9bd · outbound

This paper cites Vi- sual affordance and function understanding.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Vi- sual affordance and function understanding

Reference 8

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This paper cites Deep residual learning for image recognition.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Deep residual learning for image recognition

Reference 9

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Observation 0972e394-9742-4a7a-9a1b-f856c0fbe88b · outbound

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

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding LoRA: Low-rank adaptation of large language models

Reference 10

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Observation 7f915c03-a4b1-41f8-bb54-1ff1bad4875b · outbound

This paper cites Diffusion- based generation, optimization, and planning in 3d scenes.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Diffusion- based generation, optimization, and planning in 3d scenes

Reference 11

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This paper cites ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Reference 12

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This paper cites Imitation learning: A survey of learning methods.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Imitation learning: A survey of learning methods

Reference 13

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Observation 0c0a2f4f-1624-4060-81bf-ed0164b5f0c7 · outbound

This paper cites The ecological approach to visual percep- tion: classic edition.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding The ecological approach to visual percep- tion: classic edition

Reference 14

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This paper cites VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 15

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding How We Reason

Reference 16

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Sukhatme

Reference 17

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Openimages: A public dataset for large-scale multi- label and multi-class image classification

Reference 18

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This paper cites Ram: Retrieval-based affordance transfer for generalizable zero-shot robotic manipulation, 2024.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Ram: Retrieval-based affordance transfer for generalizable zero-shot robotic manipulation, 2024

Reference 19

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Observation d62ffc84-0e96-475f-95d3-4690bacdd105 · outbound

This paper cites Boosting logical reasoning in large language models through a new framework: The graph of thought, 2023.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Boosting logical reasoning in large language models through a new framework: The graph of thought, 2023

Reference 20

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This paper cites One-shot open affordance learning with foundation models.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding One-shot open affordance learning with foundation models

Reference 21

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation, 2022

Reference 22

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Observation 6c019249-49b1-4973-b684-958c3590c318 · outbound

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations

Reference 23

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Manipllm: Embodied multimodal large language model for object-centric robotic manipulation

Reference 24

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Focal loss for dense object detection

Reference 26

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Grounding 3D Scene Affordance From Egocentric Interactions

Reference 27

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Roberta: A robustly optimized bert pretraining approach, 2019

Reference 28

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Lobo, Alberto Jiménez-Valverde, and Raimundo Real

Reference 29

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Observation 4900fa6d-f017-41e3-8cc9-f514c52a6068 · outbound

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Phrase-based affordance detection via cyclic bilateral inter- action

Reference 30

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding One-shot affordance detection

Reference 31

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Learning affordance grounding from exocen- tric images

Reference 32

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GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Leverage interactive affinity for affordance learning

Reference 33

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Observation f44efe19-4a91-4951-ac8a-4e5a00a18922 · outbound

This paper cites Learning visual affordance grounding from demonstration videos.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Learning visual affordance grounding from demonstration videos

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 07b36d37-a9dc-42b1-8739-2803c6a2fe53 · outbound

This paper cites Madiff: Motion-aware mamba diffusion models for hand trajectory prediction on egocentric videos, 2024.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Madiff: Motion-aware mamba diffusion models for hand trajectory prediction on egocentric videos, 2024

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.665383Z digest=sha256:c2f02a191ddc2a0d90ce83bcd2a221af2ddbc9afb78e2433ec96adc8798894e8

Observation d9df6a0a-dd64-44b0-976a-ad1b4d05e4ef · outbound

This paper cites Gpt-driver: Learning to drive with gpt, 2023.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Gpt-driver: Learning to drive with gpt, 2023

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.169579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.668512Z digest=sha256:fe65941cda83dd8e94e0ed37e81b6bdfdd0d9446865576ba1a97cc373e6e872e

Observation 697f295f-7c00-4050-8ea5-705801d04d51 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.160144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.671650Z digest=sha256:f9045acff412b026e94d66393b01d8d9d667d2fc417ee20632036f0cd18d446d

Observation 6412561c-f851-4551-8fb2-d105f8186a5b · outbound

This paper cites Chang, Li Yi, Subarna Tripathi, Leonidas J.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Chang, Li Yi, Subarna Tripathi, Leonidas J

Reference 38

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unresolved
no resolver link, observed 2026-08-12T06:02:52.674685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:02:52.674685Z digest=sha256:f99aacd92fa9c79c440e04147f73bc60341ef4c1312b78ba40dec633cb64caf7

Observation 8ca127e2-57c0-4bbb-9f59-a3ab18191bf1 · outbound

This paper cites O2O-Afford: Annotation-free large-scale object-object affordance learning.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding O2O-Afford: Annotation-free large-scale object-object affordance learning

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.677741Z digest=sha256:0105348521ed660c8bc806aa2e66c5b38787104284059cd6bbae9f9c98dfa5a7

Observation 86fc1438-2b56-4f9b-8df4-81cc28758b7d · outbound

This paper cites Learning relational affor- dance models for robots in multi-object manipulation tasks.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Learning relational affor- dance models for robots in multi-object manipulation tasks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.135535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.680906Z digest=sha256:1d2d6c2acfd54ff0cd26d19bad894dff6d96e5fde96a83c02fee62f1d551a150

Observation fb9a09e9-c509-4122-aa49-ae50bc0cb5b9 · outbound

This paper cites Open-vocabulary af- fordance detection in 3d point clouds.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Open-vocabulary af- fordance detection in 3d point clouds

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.125995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.684058Z digest=sha256:04155121cda3a1bcfd08094773d35346e44bb42f362ec8e354a73b43923dc1e0

Observation bbd15e74-6eca-44ba-ad09-931f3c474faa · outbound

This paper cites Global-local collab- orative inference with llm for lidar-based open-vocabulary detection, 2024.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Global-local collab- orative inference with llm for lidar-based open-vocabulary detection, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.116448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.686966Z digest=sha256:caacbb9ea22ee821f0a66770be1cc811b5eb1ed74265c2ed92cd5049ec8c9e62

Observation a739a6b9-7731-4b8c-b472-76230a3e2b92 · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T06:02:52.690132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:02:52.690132Z digest=sha256:86bc97a7c163ae86d3e065e6b70aca575a5765b8ae527189c1dcbf785b4b7fd2

Observation 43c94500-a534-482e-8338-3d741d23b74d · outbound

This paper cites Affordancellm: Grounding affordance from vision language models.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Affordancellm: Grounding affordance from vision language models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T06:02:52.693627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:02:52.693627Z digest=sha256:89af01d13abec933f4093cc027230c52a5d843851b90e360574298c9a9297182

Observation 3f0a58b0-77ec-4eaa-a550-f56789f8ee12 · outbound

This paper cites Optimizing intersection-over-union in deep neural networks for image segmentation.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Optimizing intersection-over-union in deep neural networks for image segmentation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.101616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.696656Z digest=sha256:0d68813014d244d7fc9acaa4abc30302540a0bc8b0552389b8ef9e393ba6f4d7

Observation 40fcc66b-e451-4b3f-8e20-1b5e28e84a2c · outbound

This paper cites Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T06:02:52.699914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:02:52.699914Z digest=sha256:1468dff6b7a2e2384f8dc337bea1823e5905655630f8e362b22d2f6834fc49a0

Observation d4f899ed-8f4a-4d3b-b34e-d3efd68bef83 · outbound

This paper cites Swain and Dana H.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Swain and Dana H

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.092759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.703216Z digest=sha256:8186eb6d26e4e9df06b50c1b771305facb986053b90eb33e9ff7af15312ac0d7

Observation d696d0f0-9278-43c0-8cfa-dbf807baf48e · outbound

This paper cites Cot- det: Affordance knowledge prompting for task driven object detection.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Cot- det: Affordance knowledge prompting for task driven object detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.083680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.706259Z digest=sha256:5d3d5d4982b1efc07a2d56114858a48ae7963cc81c9870f82b22c00ceeeb97d9

Observation d67c3dba-dbd9-4e41-87fb-afbc0aa697fa · outbound

This paper cites Llama: Open and efficient foundation lan- guage models, 2023.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Llama: Open and efficient foundation lan- guage models, 2023

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.073480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.709497Z digest=sha256:79cbf19064a03abb0fd0344e774eb8df1bf6d07f1560d92a3f1af372304b7e39

Observation cde8668e-9714-443a-8c29-06f21459a3dc · outbound

This paper cites Open-vocabulary affordance detection using knowledge distillation and text- point correlation.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Open-vocabulary affordance detection using knowledge distillation and text- point correlation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.063818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.712524Z digest=sha256:c626dcd92ba4e99104a591a6317b9e8b4fc18ec0364e4b2467b90c26d098324f

Observation d639b416-abf0-4947-9345-307eeb07ee34 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T06:02:52.715926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:02:52.715926Z digest=sha256:3f02345f5e6f46f9c3350e70f4a6b6bea0a0652e51628f458abbc5e96a71604a

Observation ea1ebfb5-d45c-4634-ab22-24975b0bc29b · outbound

This paper cites Willmott and Kenji Matsuura.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Willmott and Kenji Matsuura

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.054358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.719425Z digest=sha256:5d38aabfda3a6624190535d3783a9eed20ba2aa9a1ecca949e6c2949f844f8b9

Observation d7618818-4341-45d9-aa67-9ad9868ba8bd · outbound

This paper cites Det- toolchain: A new prompting paradigm to unleash detection ability of mllm, 2024.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Det- toolchain: A new prompting paradigm to unleash detection ability of mllm, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.045347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.722414Z digest=sha256:6484fd9b393b4b770ae96dc2c42eb49cdbeb6333fb3fa6f692b441c1d8c93a65

Observation 6dd19593-0581-4347-badd-15d03d82f310 · outbound

This paper cites FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-12T06:02:52.861455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6aeb180a-3656-4188-ad1f-d20ca94506b7 · outbound

This paper cites Kptllm: Unveiling the power of large language model for keypoint comprehension,.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Kptllm: Unveiling the power of large language model for keypoint comprehension,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.035784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.729043Z digest=sha256:3e50ff2aebe7de8fd6cec15905b99a863cd5d44585bcd1f9640e5a936a452212

Observation ec536482-afcb-4530-ad95-51de9c4315d3 · outbound

This paper cites Grounding 3d object affordance from 2d interactions in images.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Grounding 3d object affordance from 2d interactions in images

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.026290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.732261Z digest=sha256:18f7da1496c3ef3e18360f23d12505e6b30848452a9e0fa7f31bd09efe636bf6

Observation a742b891-a317-4361-b789-f28e57000dac · outbound

This paper cites Lemon: Learning 3d human-object in- teraction relation from 2d images.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Lemon: Learning 3d human-object in- teraction relation from 2d images

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.017406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.735476Z digest=sha256:c2d1bfc58c2ab9697f66578eb67694147a3b061c972469dbf71138143a4f5bc6

Observation e2a988fe-7265-41a0-986a-2c0f35c3aef9 · outbound

This paper cites EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-12T06:02:52.738390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:02:52.738390Z digest=sha256:1441c0b8ea5aacb53684ff3cfa64f5c8cea45aa575e7b15cc5e25d842b0b6315

Observation 8376fb4f-f560-42fc-a3c7-c8944c1cbc83 · outbound

This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Griffiths, Yuan Cao, and Karthik Narasimhan

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:53.007838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.742118Z digest=sha256:b3daf4d7c3d634517a930f51933f08a8859950cba83ac2f7b95e62b1ee91b260

Observation 3e6f1565-1cef-4893-a15d-4ef9ea14b3fc · outbound

This paper cites Beyond chain-of- thought, effective graph-of-thought reasoning in language models, 2024.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Beyond chain-of- thought, effective graph-of-thought reasoning in language models, 2024

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:52.998080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.745126Z digest=sha256:0bbbad3917efc75747040491b68cfcfffdbcd89d3bc10b93bf9694a531d93e2c

Observation ed531688-ad40-49d6-beca-7f088d1eca0c · outbound

This paper cites One-Shot Object Affordance Detection in the Wild.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding One-Shot Object Affordance Detection in the Wild

Reference 61

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.748018Z digest=sha256:b17602604b0bdc310d9e15061c2172208d8b05e7b16b2896928f209e73121e06

Observation d91ef828-2c9c-45e1-88d6-5a783f15cfac · outbound

This paper cites Ex- ploring figure-ground assignment mechanism in perceptual organization.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Ex- ploring figure-ground assignment mechanism in perceptual organization

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:52.989402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e792dda3-7171-46af-a48c-53c6e4fd28e0 · outbound

This paper cites Background activation suppression for weakly supervised object localization and semantic segmen- tation.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Background activation suppression for weakly supervised object localization and semantic segmen- tation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:52.979861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.754216Z digest=sha256:f1ae1a00cf8f61949270967bdfa515298a9afcbc3e97429f23c24e12da2f67ae

Observation c6d9e15f-fb59-46e0-b7eb-6ece1ab73ffc · outbound

This paper cites On exploring multiplicity of prim- itives and attributes for texture recognition in the wild.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding On exploring multiplicity of prim- itives and attributes for texture recognition in the wild

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:52.970430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.757296Z digest=sha256:34a77dfd05b33a1148e75aee519258276f9ffea99e144bce53cd81262a5b4406

Observation e5e8f28a-b4fa-42e5-94a3-682863715c17 · outbound

This paper cites Automatic chain of thought prompting in large language models, 2022.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Automatic chain of thought prompting in large language models, 2022

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:02:52.960752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.760328Z digest=sha256:2ebf1c9ebbb124722c6a49ff8158e399a4109f5572c6f403d664e4bc3017247c

Observation 3e6e6ef6-0879-4d4e-8471-8ebfc167fced · outbound

This paper cites Bidirectional Progressive Transformer for Interaction Intention Anticipation.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding Bidirectional Progressive Transformer for Interaction Intention Anticipation

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-08-12T06:02:52.825515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T06:02:52.763412Z digest=sha256:6dfddb868db3df15902f7a1cd13f6fd43db5a97ba5f1287489596fd9c1825fc6

Observation cd619bad-ee74-4e6f-8b29-0b0692d9994a · outbound

This paper cites PEAR: Phrase-Based Hand-Object Interaction Anticipation.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding PEAR: Phrase-Based Hand-Object Interaction Anticipation

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-12T06:02:52.767350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1915d70b-c8bc-4dac-af96-d3527c7cdf7a · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-12T06:02:52.770915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 47ba5652-44dd-42a8-a062-adf68c30b165 · inbound

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model cites this paper.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T04:22:04.006460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 37b9a7fc-b545-454c-b580-d461ed16993c · inbound

Affordance Agent Harness: Verification-Gated Skill Orchestration cites this paper.

Affordance Agent Harness: Verification-Gated Skill Orchestration GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding

Reference 58

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verified exact
arxiv_id, observed 2026-05-11T16:06:35.648383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 59a5aa39-9181-4f66-be37-70031da58647 · inbound

Affordance Agent Harness: Verification-Gated Skill Orchestration cites this paper.

Affordance Agent Harness: Verification-Gated Skill Orchestration GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:10:55.953383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T01:55:07.248106Z digest=sha256:c08a00c40c10cd6f2c738bffa2f9e4adbb2bc8fa8be36da6fd769328a6944552