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Paper Citation Record · LEDGER

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments

As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2603.09760.

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

pith.paper-citation-record.v1
2603.09760 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:30:21.710354Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:59:02.475230Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T20:03:56.665527Z

Reference resolution

36 of 36 outbound references displayed

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Outbound references

Observation f35fe066-9db5-4129-94d0-6145d2d87d6a · outbound

This paper cites A survey of embodied ai: From simulators to research tasks,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments A survey of embodied ai: From simulators to research tasks,

Reference 1

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Observation 3de9799d-0c2b-4f9d-9abc-036fe49636a8 · outbound

This paper cites Thinking in 360 °: Humanoid visual search in the wild,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Thinking in 360 °: Humanoid visual search in the wild,

Reference 2

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Observation 6c19f28f-bed9-43fa-bff3-d187fd16a9cb · outbound

This paper cites Speaker-follower models for vision-and-language navigation,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Speaker-follower models for vision-and-language navigation,

Reference 3

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Observation fd4ea56b-5f62-4618-98ec-933126dccf00 · outbound

This paper cites Route-centric ant-inspired memories enable panoramic route-following in a car-like robot,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Route-centric ant-inspired memories enable panoramic route-following in a car-like robot,

Reference 4

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Observation 6f10602b-058d-45a0-8d7c-744ad390a4d7 · outbound

This paper cites Affordance detection of tool parts from geometric features,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Affordance detection of tool parts from geometric features,

Reference 5

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Observation 06dd322c-df8f-4b99-b6f2-872d0a9f3aef · outbound

This paper cites The theory of affordances:(1979),.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments The theory of affordances:(1979),

Reference 6

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Observation cae7c4fa-aa43-48a8-b7ae-100cfdf46484 · outbound

This paper cites LOCATE: Localize and transfer object parts for weakly supervised affordance grounding,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments LOCATE: Localize and transfer object parts for weakly supervised affordance grounding,

Reference 7

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Observation 7798ae2a-dbcb-471a-b37a-e64e4f34a649 · outbound

This paper cites Weakly supervised multimodal affordance grounding for egocentric images,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Weakly supervised multimodal affordance grounding for egocentric images,

Reference 8

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Observation 5e048bf6-7f8b-4ca0-aecf-b0422bf75b1f · outbound

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

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments One-shot open affordance learning with foundation models,

Reference 9

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Observation 45751593-e55c-4096-8e44-dce5e6046341 · outbound

This paper cites Affordan- ceLLM: Grounding affordance from vision language models,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Affordan- ceLLM: Grounding affordance from vision language models,

Reference 10

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Observation 13e246fe-5774-43b9-a202-42c549a88ad0 · outbound

This paper cites SphereNet: Learning spherical representations for detection and classification in omnidirec- tional images,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments SphereNet: Learning spherical representations for detection and classification in omnidirec- tional images,

Reference 11

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Observation 0df8a7e8-3ab2-4bba-b1c5-f19a419e223d · outbound

This paper cites Geometric exploitation for indoor panoramic semantic segmentation,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Geometric exploitation for indoor panoramic semantic segmentation,

Reference 12

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Observation 95ceb798-d3ce-4eaf-bda2-702595a57999 · outbound

This paper cites Learning affordance grounding from exocentric images,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Learning affordance grounding from exocentric images,

Reference 13

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Observation 40b7947f-582a-4325-8feb-74364350f544 · outbound

This paper cites AffordanceNet: An end-to-end deep learning approach for object affordance detection,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments AffordanceNet: An end-to-end deep learning approach for object affordance detection,

Reference 14

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Observation 8c328032-97e5-4107-bbc4-1dd36c8cfb0a · outbound

This paper cites Weakly supervised affordance detection,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Weakly supervised affordance detection,

Reference 15

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Observation 5cd4a9ef-11d4-41e2-bbfd-8a79c84e2d45 · outbound

This paper cites Resource-efficient affordance grounding with com- plementary depth and semantic prompts,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Resource-efficient affordance grounding with com- plementary depth and semantic prompts,

Reference 16

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Observation c073f134-534d-42b9-a341-c2d26e5777b1 · outbound

This paper cites Selective contrastive learning for weakly supervised affordance grounding,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Selective contrastive learning for weakly supervised affordance grounding,

Reference 17

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Observation 761e37fe-559f-493b-a74f-8ab7ca04b75e · outbound

This paper cites Weakly-supervised affordance grounding guided by part-level semantic priors,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Weakly-supervised affordance grounding guided by part-level semantic priors,

Reference 18

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Observation dc7fc0e7-38c7-41f6-b311-2f3bcacb39e9 · outbound

This paper cites AffordanceSAM: Segment Anything Once More in Affordance Grounding.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments AffordanceSAM: Segment Anything Once More in Affordance Grounding

Reference 19

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Observation 178fd396-9757-40fe-9d76-a53d8576657d · outbound

This paper cites Worldafford: Affordance grounding based on natural language instructions,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Worldafford: Affordance grounding based on natural language instructions,

Reference 20

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Observation 1470853f-2d58-486d-b4be-16db0d891f5f · outbound

This paper cites Seeing the unseen: Visual common sense for semantic placement,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Seeing the unseen: Visual common sense for semantic placement,

Reference 21

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Observation b077ba2f-de2e-4607-bd29-5d70f1cd6be2 · outbound

This paper cites Scene- Fun3D: Fine-grained functionality and affordance understanding in 3D scenes,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Scene- Fun3D: Fine-grained functionality and affordance understanding in 3D scenes,

Reference 22

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Observation 78be199f-0b57-4dc6-afc8-d11ad281f791 · outbound

This paper cites Grounding 3D Scene Affordance From Egocentric Interactions.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Grounding 3D Scene Affordance From Egocentric Interactions

Reference 23

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Observation 35993cec-9913-4f51-b0ff-43ea928da739 · outbound

This paper cites AffordBot: 3D fine-grained embodied reasoning via multimodal large language models,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments AffordBot: 3D fine-grained embodied reasoning via multimodal large language models,

Reference 24

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Observation 2a3d1a21-0ae9-4e1a-a592-6509909b0730 · outbound

This paper cites Bending reality: Distortion-aware transformers for adapting to panoramic semantic segmentation,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Bending reality: Distortion-aware transformers for adapting to panoramic semantic segmentation,

Reference 25

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Observation 897ac75f-83cb-45a0-903a-55bc5249c58e · outbound

This paper cites PanoContext-Former: Panoramic total scene understanding with a transformer,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments PanoContext-Former: Panoramic total scene understanding with a transformer,

Reference 26

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Observation 177745df-3f95-48d8-908c-376f05577ab2 · outbound

This paper cites DINOv2: Learning robust visual features without supervision,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments DINOv2: Learning robust visual features without supervision,

Reference 27

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Observation 1e5d9e0d-c3af-48c8-b514-5ff5b2e420f9 · outbound

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

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments LoRA: Low-rank adaptation of large language models,

Reference 28

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Observation b0f2d6d9-fb96-47df-880e-695f98e72b60 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Learning transferable visual models from natural language supervision,

Reference 29

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Observation 1d6fde58-88b5-4baa-8121-a64770169644 · outbound

This paper cites Learning to prompt for vision-language models,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Learning to prompt for vision-language models,

Reference 30

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Observation a0424593-af3b-4f88-bfbe-f6e3c5e393dd · outbound

This paper cites 360-Indoor: Towards learning real-world objects in 360° indoor equirectangular images,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments 360-Indoor: Towards learning real-world objects in 360° indoor equirectangular images,

Reference 31

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Observation 0dc64360-1e6c-47d3-8f28-82ce96a41997 · outbound

This paper cites Gibson env: Real-world perception for embodied agents,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Gibson env: Real-world perception for embodied agents,

Reference 32

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Observation eed6ceee-b97a-4d52-ae97-229fefb91084 · outbound

This paper cites PanoContext: A whole-room 3D context model for panoramic scene understanding,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments PanoContext: A whole-room 3D context model for panoramic scene understanding,

Reference 33

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Observation efb94e57-0ca0-4768-b2a6-58d8c2eb2943 · outbound

This paper cites Recognizing scene viewpoint using panoramic place representation,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Recognizing scene viewpoint using panoramic place representation,

Reference 34

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Observation a3f9f9a9-14a4-42d7-911d-5ab7549d602d · outbound

This paper cites One-shot affordance grounding of deformable objects in egocentric organizing scenes,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments One-shot affordance grounding of deformable objects in egocentric organizing scenes,

Reference 35

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Observation e2ae8dfd-5fc2-4c23-b83e-76e766e7529d · outbound

This paper cites Closed-loop transfer for weakly-supervised affordance grounding,.

PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments Closed-loop transfer for weakly-supervised affordance grounding,

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation d645c35c-ac49-475e-8fd6-87fb6ba4c3da · inbound

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments

Reference 142

Resolution
verified exact
arxiv_id, observed 2026-07-17T02:20:41.415450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T04:35:58.372801Z digest=sha256:028d10569f3170981baa27c433ede546e37fc264b7257d9c10f451b638c914b6

Observation 55816e1a-8b7d-49b3-bbf3-0d1b84e55ff4 · inbound

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments

Reference 138

Resolution
unresolved
no resolver link, observed 2026-08-02T09:59:02.475230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:59:02.475230Z digest=sha256:7cc7ddf641a89ed05009a50825ad56de59cf6d34a828a746839bd8ed67ee9a90