Paper Citation Record · LEDGER

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model

As of 14 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2412.01550.

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

pith.paper-citation-record.v1
2412.01550 v3

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:22:04.066726Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:49:08.968786Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T22:49:09.109028Z

Reference resolution

55 of 55 outbound references displayed

verified exact0
verified fuzzy28
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab8e3d1b-a633-4657-af7b-cea2f5bb4f09 · outbound

This paper cites GPT-4 Technical Report.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.859307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a937ec8b-c65a-4d26-add7-504d835e4de8 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Flamingo: a visual language model for few-shot learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.863710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb8853da-f817-41b1-9c71-204d10ba00fc · outbound

This paper cites 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.868030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba620139-edf7-4a7e-ab42-c056edbf3db2 · outbound

This paper cites 3D-TAFS: A Training-free Framework for 3D Affordance Segmentation.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model 3D-TAFS: A Training-free Framework for 3D Affordance Segmentation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.872664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faa3f16d-433c-414b-b3fc-4b4c039def66 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.810474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9659b92e-b005-43ea-a0cb-c595f645da6f · outbound

This paper cites Scene- fun3d: fine-grained functionality and affordance understand- ing in 3d scenes.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Scene- fun3d: fine-grained functionality and affordance understand- ing in 3d scenes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.800290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ab097ee-b741-4d9e-aafd-71af3453c2cd · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model 3d affordancenet: A benchmark for visual object affordance understanding

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.790236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac39b2a5-e6fb-4928-bf02-2139eb936263 · outbound

This paper cites Learning 2d invariant affordance knowledge for 3d affordance ground- ing.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Learning 2d invariant affordance knowledge for 3d affordance ground- ing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.888579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf87460f-5780-472e-ac89-754453a834ab · outbound

This paper cites 3d-llm: Injecting the 3d world into large language models.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model 3d-llm: Injecting the 3d world into large language models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.891868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9797d96f-474d-4909-97fc-7b433f886771 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model LoRA: Low-Rank Adaptation of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.895445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 444fe85c-5a16-4e63-8f04-37f80e7cd82b · outbound

This paper cites Robo-abc: Affordance generalization beyond categories via semantic correspondence for robot ma- nipulation.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Robo-abc: Affordance generalization beyond categories via semantic correspondence for robot ma- nipulation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.774147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 69943d3b-05b3-4f17-ba23-39d1e283c041 · outbound

This paper cites Bert: Pre-training of deep bidirectional transform- ers for language understanding.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Bert: Pre-training of deep bidirectional transform- ers for language understanding

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.763757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eeefe02c-7f12-4951-83f5-b56c7c5e341c · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Lisa: Reasoning segmentation via large language model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.907546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adbd5ecc-11f6-4f97-90b6-493d3d0a3e6d · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model One-shot open affordance learning with foundation models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.746768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eeff70d7-cba7-4186-9b64-adc2f9042cdd · outbound

This paper cites Referring transformer: A one-step approach to multi-task visual grounding.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Referring transformer: A one-step approach to multi-task visual grounding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.915594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bf1e2e4-155e-41fa-8f70-c34c6940b220 · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Laso: Language-guided affordance seg- mentation on 3d object

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.730704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6bf88876-59e8-4037-9d2d-f0dde4f82d93 · outbound

This paper cites Gres: Gen- eralized referring expression segmentation.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Gres: Gen- eralized referring expression segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.719827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 49669313-8f62-4f44-adcf-60bf0c46eba9 · outbound

This paper cites Visual instruction tuning.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Visual instruction tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.927144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 646cfba1-47ec-4448-a8de-f6e128e61dcf · outbound

This paper cites Openshape: Scaling up 3d shape representation towards open-world understanding.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Openshape: Scaling up 3d shape representation towards open-world understanding

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.702372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bae82463-d3b1-490d-90aa-0b6d388c2c04 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.934026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a180739-6da4-4d7b-ba22-f36db095805f · outbound

This paper cites InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.938006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b540fe5-7ffd-4e99-998e-1a25ac8b0bdf · outbound

This paper cites Auc: a misleading measure of the performance of predictive distribution models.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Auc: a misleading measure of the performance of predictive distribution models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.691382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4c78e5e9-fee6-4399-93c8-2f7dce28c78f · outbound

This paper cites Decoupled Weight Decay Regularization.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Decoupled Weight Decay Regularization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.945876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf8cfec3-38cd-4bf5-b2c9-5db1fb9ca42d · outbound

This paper cites GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.949625Z

Source-reported events for the cited work

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Observation deef5323-929c-4b82-b5b3-8bd734e117ce · outbound

This paper cites 3d-sps: Single-stage 3d visual grounding via referred point progressive selection.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model 3d-sps: Single-stage 3d visual grounding via referred point progressive selection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.679691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ffaf169-f5f0-4703-abc9-638c71c4321b · outbound

This paper cites Partnet: A large- scale benchmark for fine-grained and hierarchical part-level 3d object understanding.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Partnet: A large- scale benchmark for fine-grained and hierarchical part-level 3d object understanding

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.668687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a12ca22-527f-420c-9ecb-d9d7196c618a · outbound

This paper cites O2o-afford: Annotation-free large-scale object- object affordance learning.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model O2o-afford: Annotation-free large-scale object- object affordance learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.656116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5376ed9-0cf7-4a83-a290-622e4646770e · outbound

This paper cites RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.966607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50671ee5-14f9-40c1-a36a-229c1c433451 · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Open-vocabulary affordance detection in 3d point clouds

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.645548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cfad631b-d865-42f1-84f1-e1ae302718c2 · outbound

This paper cites Where2explore: Few-shot affordance learning for unseen novel categories of articulated objects.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Where2explore: Few-shot affordance learning for unseen novel categories of articulated objects

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.636149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68a1afd0-09ae-4652-8a1f-3f49512cda7d · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744,.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.978024Z

Source-reported events for the cited work

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Observation 34129aa7-d87b-478f-b684-de823d1b2d94 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.619748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68c35e8d-34d8-43b9-a628-0deea8da1a67 · outbound

This paper cites Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.607948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 04be1169-c03b-451b-b780-fdaffc1f3d72 · outbound

This paper cites ShapeLLM: Universal 3D Object Understanding for Embodied Interaction.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.989163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff3c5759-9ed8-4cc2-a132-7188a2bd74c3 · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Affordancellm: Grounding affordance from vision language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.597166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94cb39af-65f2-439f-9e8f-587d903f6120 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Learning transferable visual models from natural language supervi- sion

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.999478Z

Source-reported events for the cited work

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Observation 74d02153-9498-411f-a560-79a114b7f42d · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Optimizing intersection- over-union in deep neural networks for image segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.579377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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

This paper cites GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding.

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

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Observation 21476325-1ecd-4d30-85a7-f6deaa41a147 · outbound

This paper cites Color indexing.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Color indexing

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.568404Z

Source-reported events for the cited work

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Observation a00a30f4-ee81-498e-8a6d-585f8fc04bbb · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model LLaMA: Open and Efficient Foundation Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:04.013237Z

Source-reported events for the cited work

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Observation 790adcfb-82c4-43d9-9b4e-9ea0058dcc99 · outbound

This paper cites Visionllm: Large language model is also an open- ended decoder for vision-centric tasks.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Visionllm: Large language model is also an open- ended decoder for vision-centric tasks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:04.016706Z

Source-reported events for the cited work

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Observation d8947f22-a89c-46ae-a9a5-02726637a8f5 · outbound

This paper cites Dynamic graph cnn for learning on point clouds.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Dynamic graph cnn for learning on point clouds

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.550904Z

Source-reported events for the cited work

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Observation 35681b06-9f66-45a8-b805-4fb98dd501fe · outbound

This paper cites Advantages of the mean absolute error (mae) over the root mean square error (rmse) in assessing average model performance.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Advantages of the mean absolute error (mae) over the root mean square error (rmse) in assessing average model performance

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.539977Z

Source-reported events for the cited work

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Observation c05242bf-45db-48ad-9743-6e7cc79538d2 · outbound

This paper cites Learning environment-aware affor- dance for 3d articulated object manipulation under occlu- sions.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Learning environment-aware affor- dance for 3d articulated object manipulation under occlu- sions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.529682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67b0b7ab-fe0e-47c4-8985-11ff6c8f4cb8 · outbound

This paper cites AffordDP: Generalizable Diffusion Policy with Transferable Affordance.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model AffordDP: Generalizable Diffusion Policy with Transferable Affordance

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:04.030516Z

Source-reported events for the cited work

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Observation a00cb060-c011-4fa1-826a-1702af9ba9bc · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model PartAfford: Part-level Affordance Discovery from 3D Objects

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:04.034679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f78edc63-97e3-40f5-8742-2c85b156b9a5 · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Weakly-supervised affordance grounding guided by part-level semantic priors

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.518779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41a64d97-2b2f-4ee0-a5ce-84dfd9281f06 · outbound

This paper cites PointLLM: Empowering Large Language Models to Understand Point Clouds.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:04.042646Z

Source-reported events for the cited work

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Observation 23d12af1-3457-46e9-84a6-21082957c3d2 · outbound

This paper cites Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.508196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 44b14df7-2f30-471e-bc22-79e192377a99 · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Grounding 3d object affordance from 2d interactions in images

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.496613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46b23a12-9091-4d5a-b482-5f9e51f2648a · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Lemon: Learning 3d human-object interac- tion relation from 2d images

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.486321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f69d034d-0738-4355-993f-2de9a35a7dec · outbound

This paper cites Ferret: Refer and Ground Anything Anywhere at Any Granularity.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Ferret: Refer and Ground Anything Anywhere at Any Granularity

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:04.055997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63edb73d-6da7-4125-9340-83cc90a7a3c0 · outbound

This paper cites Uni3d: A unified baseline for multi-dataset 3d object detection.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Uni3d: A unified baseline for multi-dataset 3d object detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:04.475924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a846904f-5e78-4b50-b971-f9ef41629ef4 · outbound

This paper cites GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:04.063177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb685245-b92f-4eb9-a991-16602a54c21e · outbound

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

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:04.066726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 85b2a812-ccc1-438d-bc66-f05c37773df8 · inbound

AffordDP: Generalizable Diffusion Policy with Transferable Affordance cites this paper.

AffordDP: Generalizable Diffusion Policy with Transferable Affordance SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:49:09.116483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.