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Paper Citation Record · LEDGER

Zero-shot 2D Grounding with Novel Affordance Types

As of 15 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2608.08929.

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

pith.paper-citation-record.v1
2608.08929 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:25:01.084829Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

90 of 90 outbound references displayed

  • verified exact1
  • verified fuzzy69
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c90af25-5541-4c4f-9afe-fae9ca250baa · outbound

This paper cites GPT-4 Technical Report.

Zero-shot 2D Grounding with Novel Affordance Types GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T04:24:59.589172Z digest=sha256:f333a1e79bcf3fc29ea44796cda3667cd8637c31698d91ef9b723c5144c272f4

Observation ffb8cbdb-de47-48cb-bbee-413cbb585b25 · outbound

This paper cites Do as I can, not as I say: Grounding language in robotic affordances.

Zero-shot 2D Grounding with Novel Affordance Types Do as I can, not as I say: Grounding language in robotic affordances

Reference 2

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source=pdf_text observed=2026-08-14T04:24:59.607413Z digest=sha256:c33e08682f1f89223f2d9fc66bf7e2cf140a7ee12cfb45899b011e6faccf3f61

Observation fe0cd259-cc13-4ed5-8fed-b02154ff954f · outbound

This paper cites Affordances from human videos as a versatile representation for robotics.

Zero-shot 2D Grounding with Novel Affordance Types Affordances from human videos as a versatile representation for robotics

Reference 3

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source=pdf_text observed=2026-08-14T04:24:59.629573Z digest=sha256:dea038a17b07228d4a2eed02dc04171402adcd0ce1680d80611ba6f4dba2d457

Observation 23b284c5-00f8-4172-9801-242bb42dfc63 · outbound

This paper cites ViSPLA: Visual iterative self-prompting for language-guided 3d affordance learning.

Zero-shot 2D Grounding with Novel Affordance Types ViSPLA: Visual iterative self-prompting for language-guided 3d affordance learning

Reference 4

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source=pdf_text observed=2026-08-14T04:24:59.639580Z digest=sha256:8bfa47fb7a713b4f592e2b626e4f4594adb7e7ab01976b63104723da20241e59

Observation 68b794f9-1230-4b4f-9797-95df22f12e47 · outbound

This paper cites Grounding everything: Emerging localization properties in vision-language transformers.

Zero-shot 2D Grounding with Novel Affordance Types Grounding everything: Emerging localization properties in vision-language transformers

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:24:59.660952Z digest=sha256:ce331d0b5b01e7e6e349d71532358528e196b82f9ba7df8c798fb23f2c723e0b

Observation c1bb08ab-4158-4e1c-abac-ec6f5fd4c7de · outbound

This paper cites Language models are few-shot learners.

Zero-shot 2D Grounding with Novel Affordance Types Language models are few-shot learners

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:24:59.671131Z digest=sha256:8070c70f65c62acf0f105f88d9de1933fcb0feb7fba786e1e88f0e06d9624464

Observation 8c3749ff-eaf4-40f9-8e1c-5248b0afde54 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Zero-shot 2D Grounding with Novel Affordance Types Emerging properties in self-supervised vision transformers

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:24:59.699226Z digest=sha256:cb79a0d43c7b2fc1237d04ebcca788926b6e5984fb319e488b451415c219a890

Observation dbb14ec9-bdfe-4c3a-8abb-8caa484cf3fc · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Worldafford: Affordance grounding based on natural language instructions

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:24:59.714778Z digest=sha256:fba6799402f3be0c0955a60c3d44d3671f3e8a41e56a9cc4dbd58bb458b33e1d

Observation 4eb42807-225c-4755-b0f1-41c975017b7d · outbound

This paper cites Affordance grounding from demon- stration video to target image.

Zero-shot 2D Grounding with Novel Affordance Types Affordance grounding from demon- stration video to target image

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:24:59.724265Z digest=sha256:fe317bccd72e5eff809fe56d295f9110754261a06138ad46d620f23fd38a691c

Observation d8bee974-b17c-40ca-b81d-2074d0d2c8e2 · outbound

This paper cites Affordances of augmented reality in science learning: Suggestions for future research.JSET, 2013.

Zero-shot 2D Grounding with Novel Affordance Types Affordances of augmented reality in science learning: Suggestions for future research.JSET, 2013

Reference 10

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source=pdf_text observed=2026-08-14T04:24:59.736175Z digest=sha256:9785b6a81c975011377554b7568478390ae9513db329aacee0b0597e2d805b48

Observation 2edb4eed-fc01-4e9a-90cb-f03fcdb32235 · outbound

This paper cites 3D- AffordanceLLM: Harnessing large language models for open-vocabulary affordance detection in 3D worlds.

Zero-shot 2D Grounding with Novel Affordance Types 3D- AffordanceLLM: Harnessing large language models for open-vocabulary affordance detection in 3D worlds

Reference 11

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source=pdf_text observed=2026-08-14T04:24:59.747416Z digest=sha256:58b99a0ccad91944e813c69397cd9cff786248a1b2ec104e223df80517fbab3e

Observation 9ce199a6-ebeb-46e4-b643-519009b7ee28 · outbound

This paper cites Learning to act properly: Predicting and explaining affordances from images.

Zero-shot 2D Grounding with Novel Affordance Types Learning to act properly: Predicting and explaining affordances from images

Reference 12

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:24:59.775944Z digest=sha256:f865ed8afbb6434fccb0cbaa0b84d53366acc4ad33f79e57b47b4e00a98dc1ec

Observation 6d80767d-3bb2-45d7-bb63-412c03ab1850 · outbound

This paper cites A deep multi-level network for saliency prediction.

Zero-shot 2D Grounding with Novel Affordance Types A deep multi-level network for saliency prediction

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:24:59.795211Z digest=sha256:dde49307b51d17e92a31db8037f84ebc1fdee10c5e8fc75a73913d12e1e31af5

Observation ed81b43f-696c-4537-868a-04b6607701d0 · outbound

This paper cites STRAP: Structured Object Affordance Segmentation with Point Supervision.

Zero-shot 2D Grounding with Novel Affordance Types STRAP: Structured Object Affordance Segmentation with Point Supervision

Reference 14

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source=pdf_text observed=2026-08-14T04:24:59.815513Z digest=sha256:0f90fe3e9cdaa657365c25226409539eca0c501b4b9c234e51794a10644d44ba

Observation 266f2f7b-6fe7-46e6-a206-4be252bbc467 · outbound

This paper cites What does CLIP know about peeling a banana? InCVPRW, 2024.

Zero-shot 2D Grounding with Novel Affordance Types What does CLIP know about peeling a banana? InCVPRW, 2024

Reference 15

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:24:59.832115Z digest=sha256:49a834f2787d95351e104ae9b9127bdbf4a1f25aec4aa891f0be7b99dddbeaea

Observation 4ecb9732-2eca-4f63-a2c3-04eaf8b5602f · outbound

This paper cites Decoupling zero-shot semantic segmentation.

Zero-shot 2D Grounding with Novel Affordance Types Decoupling zero-shot semantic segmentation

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:24:59.840616Z digest=sha256:0381bee65a3c60bc7763e00ae5cb74f0bd417c61977ea21c1938b56fff0f1a40

Observation ecb468b9-9766-4b73-ae85-401b1069ec29 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Affordancenet: An end-to-end deep learning approach for object affordance detection

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:24:59.851479Z digest=sha256:d8f224d8c8310c63e6a92105067c92bec7ac3ac7778df6703adb2ac3d5726f58

Observation 974ec29b-a2c0-4b7a-92cb-b0cefdc6eb0b · outbound

This paper cites Demo2vec: Reasoning object affordances from online videos.

Zero-shot 2D Grounding with Novel Affordance Types Demo2vec: Reasoning object affordances from online videos

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:24:59.862340Z digest=sha256:dce09eb4ad74a80faec941597b8b5ffcff6129fedcb01dcea363f8f32449db9c

Observation fce38ab4-ba7f-492a-8419-0f7312117c9c · outbound

This paper cites Learning 2d invariant affordance knowledge for 3d affordance grounding.

Zero-shot 2D Grounding with Novel Affordance Types Learning 2d invariant affordance knowledge for 3d affordance grounding

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:24:59.885087Z digest=sha256:b620d42258c25b985771dc917696e01147d8907f0c2943eb9ed422cc4e20c1e0

Observation 8dee3e03-7c6a-4b7d-b9d5-5428ca1d3633 · outbound

This paper cites RLAfford: End-to-end affordance learning for robotic manipulation.

Zero-shot 2D Grounding with Novel Affordance Types RLAfford: End-to-end affordance learning for robotic manipulation

Reference 20

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:24:59.902763Z digest=sha256:62fb212f7362b2685d6e319877c37af1b4d5cfca79b787a9911dc973308a6bd6

Observation 5ecbf72f-697b-4a53-8730-7a0f6dd58da5 · outbound

This paper cites Psychology press, 2014.

Zero-shot 2D Grounding with Novel Affordance Types Psychology press, 2014

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:24:59.929390Z digest=sha256:347b676011ea93fd4d480280cd631ffd7c103b7b3c4ff0d507b7a12d382d9bc0

Observation 9055706a-76f8-4c06-a3e7-190cdaa511f8 · outbound

This paper cites One-shot transfer of affordance regions? AffCorrs! InCORL, 2023.

Zero-shot 2D Grounding with Novel Affordance Types One-shot transfer of affordance regions? AffCorrs! InCORL, 2023

Reference 22

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:24:59.964753Z digest=sha256:279f471cae668a72f1017cdd37bc8ae8ad2137590773c887ae2c157120369727

Observation 1338fa03-b532-4531-afb2-3883fe4f9fa2 · outbound

This paper cites Visual affordance and function understanding: A survey.ACM Comput.

Zero-shot 2D Grounding with Novel Affordance Types Visual affordance and function understanding: A survey.ACM Comput

Reference 23

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.000622Z digest=sha256:1425d5d3d8d7a3cb3564b9bc1d8f1e9ec380ed081a48927c736f407326054f58

Observation 696cf7c6-7498-4d9e-96c0-7e7c6b8bf271 · outbound

This paper cites V oxPoser: Composable 3d value maps for robotic manipulation with language models.

Zero-shot 2D Grounding with Novel Affordance Types V oxPoser: Composable 3d value maps for robotic manipulation with language models

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.037007Z digest=sha256:8ade179116dec99bce31eba088eb5f20e6dd8ebd5c2128b2d11ce5b4d412ec60

Observation 8afe09d7-64f5-4769-9826-c4dd0ccaf300 · outbound

This paper cites Predicting gaze in egocentric video by learning task-dependent attention transition.

Zero-shot 2D Grounding with Novel Affordance Types Predicting gaze in egocentric video by learning task-dependent attention transition

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.056783Z digest=sha256:a2fc9623d3fa05a6a38580fc5cb84703065896586037684b97c7ba556df24e7a

Observation d77cd2e8-baa3-44f6-bb7d-a6c4d9296112 · outbound

This paper cites Resource-efficient affordance grounding with complementary depth and semantic prompts.

Zero-shot 2D Grounding with Novel Affordance Types Resource-efficient affordance grounding with complementary depth and semantic prompts

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.064742Z digest=sha256:12ff6699089ac62ae7a3089a01585de7da60d80e97b711c542acee309ae7b72c

Observation 41113a67-6034-4ecc-a46c-cf2baf41062a · outbound

This paper cites Intra: Interaction relationship-aware weakly supervised affordance grounding.

Zero-shot 2D Grounding with Novel Affordance Types Intra: Interaction relationship-aware weakly supervised affordance grounding

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.080869Z digest=sha256:9c8b0d4244c240343e3b913e8c691124d6cb78d4e971536ef47639a4502d59a6

Observation a8063a6b-c54a-4461-b66d-ae70e69e6010 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types One-shot affordance grounding of deformable objects in egocentric organizing scenes

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.095455Z digest=sha256:7a77fcfb50873e5e4acb9b466f1dc8348baf8c78c162668a5f1a13fb22ac05ee

Observation 069f8cf6-52a9-4ca3-a88d-b6fc1a73c009 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types AffordanceSAM: Segment Anything Once More in Affordance Grounding

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:25:00.117551Z digest=sha256:373ef6bf07173bacac1a31ee54d3beb8200673b1d9781048b321e3782da3b63f

Observation 7c2d24dd-b6b9-44b2-994f-5eed7e51d2ab · outbound

This paper cites Robo-ABC: Affordance generalization beyond categories via semantic correspondence for robot manipulation.

Zero-shot 2D Grounding with Novel Affordance Types Robo-ABC: Affordance generalization beyond categories via semantic correspondence for robot manipulation

Reference 30

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raw_fallback, observed 2026-08-14T04:25:04.063034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.135592Z digest=sha256:3dbbe85c78908e26e56d05a5070a8a22b0cf9549cb72538726261dc88effd7d2

Observation a8fc2d26-ffa8-409c-a314-574d7f92b23b · outbound

This paper cites Learning human activities and object affordances from RGB-D videos.IJRR, 2013.

Zero-shot 2D Grounding with Novel Affordance Types Learning human activities and object affordances from RGB-D videos.IJRR, 2013

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:04.043412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.156419Z digest=sha256:5a43390a8c31cd384008b8d6ac3cb7af9a23ab7b575fc5724d21f5830155f403

Observation 1f416183-2019-417f-8be2-bb2b91c46302 · outbound

This paper cites DeepGaze II: Reading fixations from deep features trained on object recognition.

Zero-shot 2D Grounding with Novel Affordance Types DeepGaze II: Reading fixations from deep features trained on object recognition

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:25:00.162142Z digest=sha256:50e44c61224d959b6b847b5ac9d952c3077c5ffd1c970d34e4af954d86217426

Observation fe4e2f45-a73d-4c39-9e79-7df70dfc710b · outbound

This paper cites ClearCLIP: Decomposing CLIP representations for dense vision-language inference.

Zero-shot 2D Grounding with Novel Affordance Types ClearCLIP: Decomposing CLIP representations for dense vision-language inference

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:04.018396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.174784Z digest=sha256:b2f368507237f88d61eed96f2b346fa8e22770db108a6e46d29521c3405841e0

Observation ea1242d4-0579-4661-93f1-9a8437735c5f · outbound

This paper cites ProxyCLIP: Proxy attention improves CLIP for open-vocabulary segmentation.

Zero-shot 2D Grounding with Novel Affordance Types ProxyCLIP: Proxy attention improves CLIP for open-vocabulary segmentation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.993343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.191892Z digest=sha256:f7b4647fd5e8b5a433dab14b106d0c46ed3e274421c26f27a36ae209d129c94f

Observation 88823012-5ebb-44ea-b452-064d7e7c13c1 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Locate: Localize and transfer object parts for weakly supervised affordance grounding

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.964683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.225273Z digest=sha256:a41ea469234ac44081eed710afaf1ef135c467dcf8caa69d63b39182a32e4965

Observation 717cf55a-8fc6-4e78-97b0-c0357274bca9 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types One-shot open affordance learning with foundation models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.943445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.233301Z digest=sha256:c552c48edb02e3a6093575de8f587bdac6ec61b9b1ff35e053bb097491fd1cbd

Observation 7c668544-b42e-4d63-9e52-ec4530d04b41 · outbound

This paper cites Learning precise affordances from egocentric videos for robotic manipulation.

Zero-shot 2D Grounding with Novel Affordance Types Learning precise affordances from egocentric videos for robotic manipulation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.897907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.247461Z digest=sha256:0f668c26570a2a542ca8794bb7c598b9667cf2a7ea2024c73b066247ed7eeb06

Observation fb7d6d82-20ea-4c99-aee4-86feb5326e8f · outbound

This paper cites Adapting CLIP For Phrase Localization Without Further Training.

Zero-shot 2D Grounding with Novel Affordance Types Adapting CLIP For Phrase Localization Without Further Training

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T04:25:00.259046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:25:00.259046Z digest=sha256:7c9c01cebc0d935fbdffae12189166fcf76c892159c2bc55667ecc214bb18e98

Observation 11a4de50-1644-45f4-a37c-90027f578fe3 · outbound

This paper cites Laso: Language-guided affordance segmentation on 3d object.

Zero-shot 2D Grounding with Novel Affordance Types Laso: Language-guided affordance segmentation on 3d object

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.832024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.284900Z digest=sha256:01e63a5f730958502e9e6a8c01f8d4836658654ac05a1ab21d2e1097da88f81c

Observation 4bad5a48-78e9-4c7a-b470-29d334b2bc85 · outbound

This paper cites Intermediate connectors and geometric priors for language-guided affordance segmentation on unseen object categories.

Zero-shot 2D Grounding with Novel Affordance Types Intermediate connectors and geometric priors for language-guided affordance segmentation on unseen object categories

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.788525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.297221Z digest=sha256:eff1241881b68a0b6e26547033a9b706529f3fc5b5fde0c30a6a4d272f644ef0

Observation 9901d814-d276-4c26-ad2b-30f811338d11 · outbound

This paper cites Grounding DINO: Marrying dino with grounded pre-training for open-set object detection.

Zero-shot 2D Grounding with Novel Affordance Types Grounding DINO: Marrying dino with grounded pre-training for open-set object detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.705858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.324757Z digest=sha256:4cdfd2def13b6cd80c38b54ae4d5fa574e27f0a93f15441768da0b4a6ab0ca61

Observation bf42f043-7aa5-4f92-b070-ea919fe9bf30 · outbound

This paper cites GEAL: Generalizable 3d affordance learning with cross-modal consistency.

Zero-shot 2D Grounding with Novel Affordance Types GEAL: Generalizable 3d affordance learning with cross-modal consistency

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.652879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.364855Z digest=sha256:b852d8507b86574f231a5eed36e1baa0d0af7b8a9b3a3f75a92c9e42f4f0c94d

Observation 581e08ba-5788-4952-80d3-417faf767293 · outbound

This paper cites Learning affordance grounding from exocentric images.

Zero-shot 2D Grounding with Novel Affordance Types Learning affordance grounding from exocentric images

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.590463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.386788Z digest=sha256:c58dd60f3d4fc2f8918c6b37e1e705194d08127d72ca76bc49d83a67d3ac8995

Observation f1e673d4-e3a6-4457-9025-ee5f77f96698 · outbound

This paper cites Learning visual affordance grounding from demonstration videos.IEEE TNNLS, 2023.

Zero-shot 2D Grounding with Novel Affordance Types Learning visual affordance grounding from demonstration videos.IEEE TNNLS, 2023

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.539167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.394273Z digest=sha256:cfe0cde63dfc8200beb339facbb33fdc38db4da04be0130e223e9a0fa5f8e196

Observation 2c96f9b2-4427-4dab-816f-ab81e9a0a929 · outbound

This paper cites Grounding language with visual affordances over unstructured data.

Zero-shot 2D Grounding with Novel Affordance Types Grounding language with visual affordances over unstructured data

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.458647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.414751Z digest=sha256:603bb3504f613e70a0bd2078fe254c935b569ad712f9f30ef85e00526c568e1b

Observation b2811bba-d493-429c-a951-b4621a4e411a · outbound

This paper cites LAN-grasp: Using large language models for semantic object grasping.arXiv preprint arXiv:2310.05239, 2023.

Zero-shot 2D Grounding with Novel Affordance Types LAN-grasp: Using large language models for semantic object grasping.arXiv preprint arXiv:2310.05239, 2023

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-14T04:25:00.446329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:25:00.446329Z digest=sha256:2e1922527b732413628fc0de000dfe07f54fe261a47ad2d26e422f655d6851a8

Observation 55fd075d-04e4-4681-8e1d-72fd0f046240 · outbound

This paper cites Embodied large language models enable robots to complete complex tasks in unpredictable environments.Nature Machine Intelligence,.

Zero-shot 2D Grounding with Novel Affordance Types Embodied large language models enable robots to complete complex tasks in unpredictable environments.Nature Machine Intelligence,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.427235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.452964Z digest=sha256:5cfe9d230c3c430b25099d1e66867f685f842a719fdd4124f137f74a903fd449

Observation 7b49a9e5-a562-464a-b016-ff8b8eab7380 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Selective contrastive learning for weakly supervised affordance grounding

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.381372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.484750Z digest=sha256:d60ab56d8d44f473768fe7a38d606faee4e08738745b0d61252b98a0b7591034

Observation 1fda5415-2668-4c8c-82c8-cc1eb0514a8a · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Affordance detection of tool parts from geometric features

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.338340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.534761Z digest=sha256:cfd7a3a865e2b7b442323c46c62135b07f6069bb3dcd7a616d0efe89f97e60e8

Observation d7d621d1-3dfe-4c2a-a7d7-0f8d9d9d162a · outbound

This paper cites Learning affordance landscapes for interaction exploration in 3d environments.

Zero-shot 2D Grounding with Novel Affordance Types Learning affordance landscapes for interaction exploration in 3d environments

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.285818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.551280Z digest=sha256:66e6c31650b53f32cdb5856c98a01655d1125dde39b72e2d99832c28e8164e56

Observation b66f641f-5f02-4c85-84e5-217868f73f40 · outbound

This paper cites Grounded human-object interaction hotspots from video.

Zero-shot 2D Grounding with Novel Affordance Types Grounded human-object interaction hotspots from video

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.251898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.568240Z digest=sha256:4daf2401e9007078ba6a2316e168ac2d7cc68f9a002b0ea3e385a27bb669861f

Observation d5ceb384-9d79-4876-b5ab-59d7f659f765 · outbound

This paper cites Caldwell, and Nikos G.

Zero-shot 2D Grounding with Novel Affordance Types Caldwell, and Nikos G

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.158122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.584599Z digest=sha256:672d59cc9e8fd41cf667829078ef687c5bf8c9d0e78471f326a172adf2d166c5

Observation 58a8a30f-3057-4048-825a-23e78d2b1b7c · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Open- vocabulary affordance detection in 3d point clouds

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.110999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.602537Z digest=sha256:4ddfde37befc4ba3f42b818d2f8cff01cd56b3417b55dc3b816b65048304466d

Observation 894e5207-7a1d-4989-a586-b5d9dbfba7cd · outbound

This paper cites Introducing GPT-5.2.

Zero-shot 2D Grounding with Novel Affordance Types Introducing GPT-5.2

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.072306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.613407Z digest=sha256:a7009b3aa2f59157f9bc86f9e716bea102066a3a39415175a3a19e4285197cd8

Observation 0372b1e9-6604-4ad0-aca5-34072ec1097a · outbound

This paper cites Dinov2: Learning robust visual features without supervision.TMLR, 2024.

Zero-shot 2D Grounding with Novel Affordance Types Dinov2: Learning robust visual features without supervision.TMLR, 2024

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:03.044033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.624631Z digest=sha256:448cd6340846faf950de72abf7bef7bc7f99d51de5e0e02cf49f1396bad8ee28

Observation b8aef135-de32-4821-bdbb-e29dd231fe13 · outbound

This paper cites SalGAN: Visual Saliency Prediction with Generative Adversarial Networks.

Zero-shot 2D Grounding with Novel Affordance Types SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-14T04:25:00.638291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:25:00.638291Z digest=sha256:1f50c21aa7c07040cfe7837472172a535859290d6936af153befe552caf59920

Observation fbeeb65e-8ca6-4bbb-bc35-f259f2255f31 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types AffordanceLLM: Grounding affordance from vision language models

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.989761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.647791Z digest=sha256:a6225a8fb90b87351326e5fa6fd7deeb8124f72a48ccfb911077e82666415e1e

Observation b3abf650-1e3a-4a6f-a703-9141e30b5949 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Learning transferable visual models from natural language supervision

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.942168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.658615Z digest=sha256:72f7f2df56a939ee10608e8d5b5b705d500d130a22932d8ac0c5b124c73e7813

Observation 8216afe2-d635-4de2-a23e-9a6004cc7b97 · outbound

This paper cites Strategies to leverage foundational model knowledge in object affordance grounding.

Zero-shot 2D Grounding with Novel Affordance Types Strategies to leverage foundational model knowledge in object affordance grounding

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.880344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.673344Z digest=sha256:15cac5cffb67abadfba5d52755469dde21cd23b1f052d3350675077c0d8590d7

Observation d238b413-a0d4-45ed-8222-bede1fb6057a · outbound

This paper cites Language embedded radiance fields for zero-shot task-oriented grasping.

Zero-shot 2D Grounding with Novel Affordance Types Language embedded radiance fields for zero-shot task-oriented grasping

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.838191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.692986Z digest=sha256:2314924cde079a41b1d41d0b2ab23fda3b7cfd763c3ca0ebdaaebd17772b5cb1

Observation c6fb0534-4c8a-4309-a618-ee395027411f · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Zero-shot 2D Grounding with Novel Affordance Types SAM 2: Segment Anything in Images and Videos

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-14T04:25:00.724745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:25:00.724745Z digest=sha256:19b57c6fe9e7692fa5a56752a008505cb2b36ebc4f6723b7505b4197f90d8a0a

Observation 466fbedd-f008-48b2-bebb-0d918cc03175 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

Zero-shot 2D Grounding with Novel Affordance Types Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-14T04:25:00.735823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:25:00.735823Z digest=sha256:3fead5282e722c9c06657669495d23f03dd6b226e74ca8209856edc13d0fe1a4

Observation efb000cc-f37c-4718-897f-f379f14627dc · outbound

This paper cites Adaptive binarization for weakly supervised affordance segmentation.

Zero-shot 2D Grounding with Novel Affordance Types Adaptive binarization for weakly supervised affordance segmentation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.775254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.748854Z digest=sha256:9e8c39f60e4357e0fe0f44280dca8061084291e02a86a9a35a64793deccd1e1c

Observation ad19fbfd-b14c-41c3-9661-f1c41da11300 · outbound

This paper cites Weakly supervised affordance detection.

Zero-shot 2D Grounding with Novel Affordance Types Weakly supervised affordance detection

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.709743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.776547Z digest=sha256:cb8a43fabf78d41f3d60e630c2a7e255a25dbec1627b6d879072acf5ee98be62

Observation 76e1712d-49c6-4266-a588-5132fd5876d7 · outbound

This paper cites GREAT: Geometry- intention collaborative inference for open-vocabulary 3d object affordance grounding.

Zero-shot 2D Grounding with Novel Affordance Types GREAT: Geometry- intention collaborative inference for open-vocabulary 3d object affordance grounding

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.671657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.788035Z digest=sha256:8f108211f724f0f9942e2d5b6c25b6fc88bb4d3968b235a25477f88f92f1047c

Observation a1413b01-06c7-434f-861e-c33a84e8879e · outbound

This paper cites Learning 6-DoF fine-grained grasp detection based on part affordance grounding.IEEE TASE, 2025.

Zero-shot 2D Grounding with Novel Affordance Types Learning 6-DoF fine-grained grasp detection based on part affordance grounding.IEEE TASE, 2025

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.635005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.795341Z digest=sha256:5fc4e532ff1286b7a81821863d5915150cffc15a755f28808ecf3a101aea28da

Observation cfcf9a7b-96a8-439d-b112-278c5315f6e6 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Closed-loop transfer for weakly-supervised affordance grounding

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.569620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.803824Z digest=sha256:b6192b6225f6d4de5d06a2979fe6b5725d2e2fe152733dfa3b2c25480f1f5669

Observation 9a6c3ebd-c770-4d16-8fd8-94b765482766 · outbound

This paper cites Oval-prompt: Open-vocabulary affordance localization for robot manipulation through llm affordance-grounding.

Zero-shot 2D Grounding with Novel Affordance Types Oval-prompt: Open-vocabulary affordance localization for robot manipulation through llm affordance-grounding

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.534748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.816303Z digest=sha256:32d5af0679c5de970a86f5a67ec2fa3c84776b824000a7b2cae551049f0e437b

Observation bc248883-96b6-426d-b370-e525a78a90a4 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Open- vocabulary affordance detection using knowledge distillation and text-point correlation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.484155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.829393Z digest=sha256:5fd50299af7783881df8846f4c05a0bbdb64575b21c2482caa48a157f28660fb

Observation 22bb1560-6d74-4eaf-a88e-74b28cbf8fce · outbound

This paper cites Attention is all you need.

Zero-shot 2D Grounding with Novel Affordance Types Attention is all you need

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-14T04:25:00.839548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:25:00.839548Z digest=sha256:97183921782a6c10ba966b40f1e4e298f24863b185ac27863fc34c6b439084b7

Observation bb84c558-8e93-468b-96e5-a2ffb8a9ec67 · outbound

This paper cites Predicting actions from static scenes.

Zero-shot 2D Grounding with Novel Affordance Types Predicting actions from static scenes

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.450212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.845760Z digest=sha256:6792326b0c10a3f259244e791cfa960cd9b611b17b042cc0e499b805b0d86872

Observation cf155cb5-7662-440b-a49e-c9656041579e · outbound

This paper cites SCLIP: Rethinking self-attention for dense vision-language inference.

Zero-shot 2D Grounding with Novel Affordance Types SCLIP: Rethinking self-attention for dense vision-language inference

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.431152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.851533Z digest=sha256:3f4c391a4b2081a63fa66237679666ca79f0260b3c452cff5fcb0decae39b1c8

Observation 20b0ec59-60b8-4539-9009-a7083908b3fc · outbound

This paper cites AffordDexGrasp: Open-set language-guided dexterous grasp with generalizable-instructive affordance.

Zero-shot 2D Grounding with Novel Affordance Types AffordDexGrasp: Open-set language-guided dexterous grasp with generalizable-instructive affordance

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.397587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.857273Z digest=sha256:771f6973499cc2de0c27c82e9aaf8bdd0dbe727bb982f2090adbd3c1193eef0f

Observation 7136222f-54d2-478b-8a8b-14dad5f4ebfd · outbound

This paper cites 3DAffordSplat: Efficient affordance reasoning with 3d gaussians.

Zero-shot 2D Grounding with Novel Affordance Types 3DAffordSplat: Efficient affordance reasoning with 3d gaussians

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.368835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.866144Z digest=sha256:7cdea736605823d97eacfd805f09211a683abee1ae8737aab1a140cfa5c573c0

Observation 47b4a63c-193a-4925-ae9e-192c5160731c · outbound

This paper cites RAGNet: Large-scale reasoning-based affordance segmentation benchmark towards general grasping.

Zero-shot 2D Grounding with Novel Affordance Types RAGNet: Large-scale reasoning-based affordance segmentation benchmark towards general grasping

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.349843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.873432Z digest=sha256:9fcfd5a090675e180c394030531809ef77aa0e1e10723bc7b7b714fffdf67bdc

Observation 8ded06cf-29b4-47af-94c5-af6ff16f42d4 · outbound

This paper cites Towards open vocabulary learning: A survey.IEEE TPAMI, 2024.

Zero-shot 2D Grounding with Novel Affordance Types Towards open vocabulary learning: A survey.IEEE TPAMI, 2024

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.327991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.878695Z digest=sha256:f861adb10e426de9301e4cf26b84cf6885d1f04f9d5a7bc68a0e986052edc7a1

Observation 0d78e3f5-6bba-4e70-ba61-da8dc89712cd · outbound

This paper cites Florence-2: Advancing a unified representation for a variety of vision tasks.

Zero-shot 2D Grounding with Novel Affordance Types Florence-2: Advancing a unified representation for a variety of vision tasks

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.295909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.906075Z digest=sha256:602caa805947436d39ae3908d0a7ca1f3f9a0954011c2f4b3f83f85364d75688

Observation 63b16190-3e95-4fbf-9766-b36ed82a104f · outbound

This paper cites SED: A simple encoder-decoder for open-vocabulary semantic segmentation.

Zero-shot 2D Grounding with Novel Affordance Types SED: A simple encoder-decoder for open-vocabulary semantic segmentation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.254103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.913685Z digest=sha256:76ca41c5b18e20e6ec23533a081c56ea34eccb6f000c60f761d682537858175f

Observation 0daa9bcb-86db-45a3-88b5-7ab313fb2462 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Weakly supervised multimodal affordance grounding for egocentric images

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.189132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.932308Z digest=sha256:fa5389685c6a2e044c2d5e030c2d68c1e8cb3c6b6fe045c3abccc340b30986fd

Observation a1ec0b89-792a-4008-b47f-91162fe68e30 · outbound

This paper cites Side adapter network for open- vocabulary semantic segmentation.

Zero-shot 2D Grounding with Novel Affordance Types Side adapter network for open- vocabulary semantic segmentation

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.159291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.937785Z digest=sha256:97d6aebd2365261319843e2b1095b9e9ca11b93bf4e0c7e9f06d67275f4983fe

Observation 27cbced3-9dce-4459-8fbb-2e036679ab1e · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Weakly-supervised affordance grounding guided by part-level semantic priors

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.138652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.948684Z digest=sha256:c49eda1020d2b2d3571b1827754b60dcf31a8407a279cca1ec54d837df6ce642

Observation 82fa5d50-2dfc-4f34-bf10-719899c24b54 · outbound

This paper cites Universal instance perception as object discovery and retrieval.

Zero-shot 2D Grounding with Novel Affordance Types Universal instance perception as object discovery and retrieval

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.066019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.976682Z digest=sha256:110c8c1ac32f7dd298dc8ae05949e14eb89acd06ebce58dffc0b525d2981ca7d

Observation 9afb80b5-1bbd-48d9-8eab-92922c4008d1 · outbound

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

Zero-shot 2D Grounding with Novel Affordance Types Grounding 3d object affordance from 2d interactions in images

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.042436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:00.994192Z digest=sha256:390220a04f82d37ee5a1e17180528f7e90c4c0d9a2365e5eb30b41e0e44ef360

Observation e3e6d444-088e-479b-a857-563374124ff0 · outbound

This paper cites 2HandedAf- forder: Learning precise actionable bimanual affordances from human videos.

Zero-shot 2D Grounding with Novel Affordance Types 2HandedAf- forder: Learning precise actionable bimanual affordances from human videos

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:02.019717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:01.008038Z digest=sha256:857830f3695252dae292a8f91d1a20bb78f2f2141ab8b41b439dc786268b7126

Observation fc099bc0-0d00-4d4c-8125-fc09cda77009 · outbound

This paper cites SeqAfford: Sequential 3d affordance reasoning via multimodal large language model.

Zero-shot 2D Grounding with Novel Affordance Types SeqAfford: Sequential 3d affordance reasoning via multimodal large language model

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:01.989262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:01.028686Z digest=sha256:1ed4cf1723e5efb3a7e92b07b4c6b241e8df2f4daad5ccfa89e31d80de38189b

Observation 47122d56-c38e-4198-99ca-dc93fafc72f0 · outbound

This paper cites One-shot object affordance detection in the wild.IJCV, 2022.

Zero-shot 2D Grounding with Novel Affordance Types One-shot object affordance detection in the wild.IJCV, 2022

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:01.957879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:01.034961Z digest=sha256:886e3f31eb7fb15f231f715bf658c4f1702e582508ef9ff3a6f94693a204616a

Observation 06616474-0615-4f3c-be51-94f5a12d8657 · outbound

This paper cites Extract free dense labels from CLIP.

Zero-shot 2D Grounding with Novel Affordance Types Extract free dense labels from CLIP

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:01.921563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:01.043451Z digest=sha256:0c7503ff686e713b36674580661b59ef762dcd390bf6fa15e6662dbdc7da189e

Observation 3a2af93c-1d6e-4796-9a49-257bbb3cf77f · outbound

This paper cites ZegClip: Towards adapting CLIP for zero-shot semantic segmentation.

Zero-shot 2D Grounding with Novel Affordance Types ZegClip: Towards adapting CLIP for zero-shot semantic segmentation

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:01.855261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:01.057814Z digest=sha256:a5e39f0b61f1f26f19374339b4701139c805beca9841fdf51c77b556614260bd

Observation 442314b8-6c99-41ad-a706-3b0d1334788c · outbound

This paper cites Grounding 3d object affordance with language instructions, visual observations and interactions.

Zero-shot 2D Grounding with Novel Affordance Types Grounding 3d object affordance with language instructions, visual observations and interactions

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:01.806178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:01.067228Z digest=sha256:e3e3a3f328c8e0debec6cbc39dd96ce3fbcadf33925e846fd7c759e83bb91537

Observation a7397722-d4ad-47d4-86dc-0a4b6b25fb7d · outbound

This paper cites Seen” and “Unseen.

Zero-shot 2D Grounding with Novel Affordance Types Seen” and “Unseen

Reference 2025

Resolution
verified exact
raw_fallback, observed 2026-08-14T04:25:01.372600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:25:01.084829Z digest=sha256:324c215e782e590258b3d2e17ae6e331369b6ab55fbc05e9287d69f32673ba50

Pith citing papers

No inbound Pith citation observations are available.