Paper Citation Record · LEDGER

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer

As of 19 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 6 inbound Pith citation observations for arXiv:2501.01163.

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

pith.paper-citation-record.v1
2501.01163 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:21.624165Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:46.762264Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T01:00:51.232818Z

Reference resolution

68 of 68 outbound references displayed

verified exact2
verified fuzzy36
unresolved29
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 888363c1-dff3-4a7b-8693-7180a188f73d · outbound

This paper cites Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.962313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6842355-1d5a-444b-bedb-5d9dd5945449 · outbound

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

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Flamingo: a visual language model for few-shot learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.312544Z

Source-reported events for the cited work

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Observation 92779771-0203-4486-88c0-4f1ba3691bd8 · outbound

This paper cites Scanqa: 3d question answering for spatial scene understanding.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Scanqa: 3d question answering for spatial scene understanding

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.855494Z

Source-reported events for the cited work

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Observation 03a0081c-632f-4dc4-a330-e3e5497fac99 · outbound

This paper cites Lan- guage models are few-shot learners.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Lan- guage models are few-shot learners

Reference 4

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Source-reported events for the cited work

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Observation 71bf9048-bb15-4c38-90d4-c84ba2015eba · outbound

This paper cites Lan- guage models are few-shot learners.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Lan- guage models are few-shot learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.325205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32d1d7ea-e996-4c19-9215-90674afccb5c · outbound

This paper cites 3djcg: A unified framework for joint dense captioning and visual grounding on 3d point clouds.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer 3djcg: A unified framework for joint dense captioning and visual grounding on 3d point clouds

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.778103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b180116-770f-45d4-9321-a6de978b9974 · outbound

This paper cites Scanrefer: 3d object localization in rgb-d scans using natu- ral language.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Scanrefer: 3d object localization in rgb-d scans using natu- ral language

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.704309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad158610-2e48-438e-8253-f05e8e44240a · outbound

This paper cites D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding

Reference 8

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Source-reported events for the cited work

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Observation 3efbaee2-fb55-4c10-b2bd-ef18754cbc09 · outbound

This paper cites End-to-end 3d dense captioning with vote2cap-detr.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer End-to-end 3d dense captioning with vote2cap-detr

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.643116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55c2b2e9-af23-4074-b04f-751de9427cae · outbound

This paper cites Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning

Reference 10

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Source-reported events for the cited work

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Observation 00233a35-9796-4d66-8433-75abe511b726 · outbound

This paper cites Ll3da: Visual interactive instruction tuning for omni-3d understand- ing reasoning and planning.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Ll3da: Visual interactive instruction tuning for omni-3d understand- ing reasoning and planning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.577170Z

Source-reported events for the cited work

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Observation 20e8b86a-ef1a-4642-9790-05f549fdf540 · outbound

This paper cites Grounded 3D-LLM with Referent Tokens.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Grounded 3D-LLM with Referent Tokens

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.365509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af20d30c-6eac-48c3-9ff3-7cb34d3ec6fe · outbound

This paper cites Scan2cap: Context-aware dense captioning in rgb-d scans.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Scan2cap: Context-aware dense captioning in rgb-d scans

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.486472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3f787c6-4610-428c-a1cd-d692e906e049 · outbound

This paper cites Unit3d: A unified trans- former for 3d dense captioning and visual grounding.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Unit3d: A unified trans- former for 3d dense captioning and visual grounding

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.437822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9eacf99b-44d8-4fd2-83cb-613ea48634de · outbound

This paper cites Palm: Scaling language modeling with pathways.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Palm: Scaling language modeling with pathways

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.376268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3025561-fdaf-4a2a-a96e-cc0fe084e127 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.379646Z

Source-reported events for the cited work

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Observation ca065221-c100-446b-abc7-1e11dd280b46 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.383295Z

Source-reported events for the cited work

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Observation 33c19405-ee4b-474a-9f14-9859cc79fad0 · outbound

This paper cites Instructblip: Towards general- purpose vision-language models with instruction tuning,.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Instructblip: Towards general- purpose vision-language models with instruction tuning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.387006Z

Source-reported events for the cited work

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Observation 3d7cfe24-58bf-4cf6-a63b-513c3b0e429a · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 19

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Source-reported events for the cited work

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Observation 49e2eb89-8bb6-4a7e-8531-20716a010ce5 · outbound

This paper cites Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.395235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13c49fe8-ad71-4d8c-b695-fb10e5cada30 · outbound

This paper cites Segpoint: Segment any point cloud via large language model.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Segpoint: Segment any point cloud via large language model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.359552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36cc0668-c536-488c-9f56-9ac26d530e83 · outbound

This paper cites Training Compute-Optimal Large Language Models.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Training Compute-Optimal Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.440041Z

Source-reported events for the cited work

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Observation 6ffa7714-17bc-441a-89b7-b30ecb338cab · outbound

This paper cites 3d-llm: In- 9 jecting the 3d world into large language models.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer 3d-llm: In- 9 jecting the 3d world into large language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.313257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2a88b52-3c15-43dc-ae05-bbc3781585b8 · outbound

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

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer LoRA: Low-Rank Adaptation of Large Language Models

Reference 24

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Source-reported events for the cited work

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Observation aeda7315-d3a4-4bad-a110-25fbff11d612 · outbound

This paper cites Chat-scene: Bridging 3d scene and large language models with object identifiers.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Chat-scene: Bridging 3d scene and large language models with object identifiers

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.276860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f6ce3afe-e49e-4af4-8e7d-189065fe2983 · outbound

This paper cites An Embodied Generalist Agent in 3D World.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer An Embodied Generalist Agent in 3D World

Reference 26

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Source-reported events for the cited work

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Observation 71b3d911-595e-4caf-8769-8212050dfea6 · outbound

This paper cites Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.477005Z

Source-reported events for the cited work

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Observation a2197ecb-b74c-468d-8667-43ef23731294 · outbound

This paper cites Text-guided graph neural networks for re- ferring 3d instance segmentation.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Text-guided graph neural networks for re- ferring 3d instance segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.239976Z

Source-reported events for the cited work

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Observation c2d8902b-5f69-495d-9ba4-d24797693deb · outbound

This paper cites Multi- view transformer for 3d visual grounding.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Multi- view transformer for 3d visual grounding

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.166653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57b31f50-339a-444c-95b7-ff41fff1ab5a · outbound

This paper cites Oneformer: One transformer to rule universal image segmentation.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Oneformer: One transformer to rule universal image segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.127546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee970a3b-4264-43ca-a5e0-a1e0b207c96a · outbound

This paper cites MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:38:21.770912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2208f299-cb9a-48c0-ae37-1373c9c0b1a4 · outbound

This paper cites Tod3cap: Towards 3d dense captioning in outdoor scenes.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Tod3cap: Towards 3d dense captioning in outdoor scenes

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.116245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64d0f10c-3d58-4d1d-a8fa-441bfe7b70a7 · outbound

This paper cites Context-aware alignment and mutual masking for 3d- language pre-training.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Context-aware alignment and mutual masking for 3d- language pre-training

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.106042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4d81e63-0fe6-4ca5-a2a6-a410ccbb8ed0 · outbound

This paper cites Bi-directional contextual attention for 3d dense captioning.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Bi-directional contextual attention for 3d dense captioning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.096317Z

Source-reported events for the cited work

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Observation e28d0ccb-4417-4116-b318-c24fd5fa7d20 · outbound

This paper cites Oneformer3d: One transformer for unified point cloud segmentation.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Oneformer3d: One transformer for unified point cloud segmentation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.086848Z

Source-reported events for the cited work

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Observation a7455c13-ae39-4dc1-af48-37254b701cf9 · outbound

This paper cites Mask-attention-free transformer for 3d in- stance segmentation.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Mask-attention-free transformer for 3d in- stance segmentation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.076558Z

Source-reported events for the cited work

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Observation 82af0fb9-3ffe-443a-9cf5-2b0b752b3645 · outbound

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

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Lisa: Reasoning segmentation via large language model

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.065918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88d3bb10-aa68-42c7-a584-8ca93419ae35 · outbound

This paper cites Large-scale point cloud semantic segmentation with superpoint graphs.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Large-scale point cloud semantic segmentation with superpoint graphs

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.054980Z

Source-reported events for the cited work

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Observation 12db2c66-d551-4c76-8f57-443b017ba61a · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.522463Z

Source-reported events for the cited work

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Observation 9fd1d6e1-c061-46c3-930f-599d1d9cbb0b · outbound

This paper cites Visual Instruction Tuning.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Visual Instruction Tuning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.526491Z

Source-reported events for the cited work

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Observation f7fa5907-153b-4eb8-ae1f-ac33bc4e2416 · outbound

This paper cites Sparsebev: High-performance sparse 3d object de- tection from multi-camera videos.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Sparsebev: High-performance sparse 3d object de- tection from multi-camera videos

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.044494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ff97781-8532-42f5-a51e-c7a6bea2ffd3 · outbound

This paper cites Improved baselines with visual instruction tuning.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Improved baselines with visual instruction tuning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.034319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1c5c1887-09f9-4ddb-af7a-ec474210340f · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90quality, 2023.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Vicuna: An open-source chatbot impressing gpt-4 with 90quality, 2023

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.023125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88c484b1-9a0e-4456-9a8e-bce52bb091a6 · outbound

This paper cites SQA3D: Situated Question Answering in 3D Scenes.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer SQA3D: Situated Question Answering in 3D Scenes

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.541249Z

Source-reported events for the cited work

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Observation 64daf037-cda0-4116-95d2-d465018b5676 · outbound

This paper cites Clip-guided vision-language pre-training for question answering in 3d scenes.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Clip-guided vision-language pre-training for question answering in 3d scenes

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.013185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a2aae5a-0b39-4954-a83a-b6418e4523ed · outbound

This paper cites Openscene: 3d scene understanding with open vocabularies.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Openscene: 3d scene understanding with open vocabularies

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:22.002593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b459fd9-c9a4-4ff5-8553-64531e4efe7b · outbound

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

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:21.991393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56fdd562-5f10-4944-9426-7270d0d4b1f7 · outbound

This paper cites X- refseg3d: Enhancing referring 3d instance segmentation via structured cross-modal graph neural networks.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer X- refseg3d: Enhancing referring 3d instance segmentation via structured cross-modal graph neural networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:21.980346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 466c5048-85b4-4814-9487-483ccaa36e9f · outbound

This paper cites Language models are unsu- pervised multitask learners.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Language models are unsu- pervised multitask learners

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.560097Z

Source-reported events for the cited work

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Observation 1f541a13-c5cd-4d78-bd9c-d10e5dec5e4f · outbound

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

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Learning transferable visual models from natural language supervi- sion

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.563660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f856169c-932c-428c-9c52-6408d637adfe · outbound

This paper cites Language- grounded indoor 3d semantic segmentation in the wild.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Language- grounded indoor 3d semantic segmentation in the wild

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.567100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b213143b-3088-4bfc-8a8e-adf2d5a51114 · outbound

This paper cites Mask3d: Mask trans- former for 3d semantic instance segmentation.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Mask3d: Mask trans- former for 3d semantic instance segmentation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:21.949511Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d101734e-f423-4331-9cf6-be9cd14347b7 · outbound

This paper cites Superpoint transformer for 3d scene instance segmentation.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Superpoint transformer for 3d scene instance segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:21.938590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a496371f-7daf-445e-a63e-a0b161bc5da1 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Gemini: A Family of Highly Capable Multimodal Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.576753Z

Source-reported events for the cited work

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Observation 0fa5dcfa-41e3-4cbe-985b-b1a04a730b44 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.580213Z

Source-reported events for the cited work

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Observation d9b82dab-2c4e-4a4d-8b13-ae2085e4023f · outbound

This paper cites Four ways to improve verbo-visual fusion for dense 3d visual grounding.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Four ways to improve verbo-visual fusion for dense 3d visual grounding

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:21.927085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation deeb111e-a2ff-488b-a6de-806879e07375 · outbound

This paper cites Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.586317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c05a8e-d8d7-418d-8d22-2533a7dbf8bf · outbound

This paper cites 3d-stmn: Dependency- driven superpoint-text matching network for end-to-end 3d referring expression segmentation.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer 3d-stmn: Dependency- driven superpoint-text matching network for end-to-end 3d referring expression segmentation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:21.914969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e00940a1-fa89-420c-abb2-07f3d0ab5619 · outbound

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

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.594099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16d1c125-bdcd-428e-9e68-1a8d68657e75 · outbound

This paper cites Sat: 2d semantics assisted training for 3d visual grounding.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Sat: 2d semantics assisted training for 3d visual grounding

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:21.904223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2a36d1f9-6cbc-4428-ba3f-63cf1e97cb01 · outbound

This paper cites X-trans2cap: Cross- modal knowledge transfer using transformer for 3d dense captioning.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer X-trans2cap: Cross- modal knowledge transfer using transformer for 3d dense captioning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:21.893500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a4369bd-209d-4062-87b9-7a32805e4a8f · outbound

This paper cites Agent3D-Zero: An Agent for Zero-shot 3D Understanding.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Agent3D-Zero: An Agent for Zero-shot 3D Understanding

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.604533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f85724c3-f37a-4faf-a3ca-4ebca065201a · outbound

This paper cites OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.608432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a3f066d-daef-475d-8890-51c36c419dac · outbound

This paper cites Multi3drefer: Grounding text description to multiple 3d ob- jects.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Multi3drefer: Grounding text description to multiple 3d ob- jects

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:21.881949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e5d5896-b9de-4d90-a357-7632483ddb84 · outbound

This paper cites Contextual Modeling for 3D Dense Captioning on Point Clouds.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Contextual Modeling for 3D Dense Captioning on Point Clouds

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.616056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20cf3ff7-b3d8-47a0-8303-cf08584a3259 · outbound

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

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.620323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3291e147-aded-4c1a-a830-24c6d28a20f9 · outbound

This paper cites 3d-vista: Pre-trained transformer for 3d vision and text alignment.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer 3d-vista: Pre-trained transformer for 3d vision and text alignment

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:21.866923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f1d636c-c6c8-451c-bee0-2bc6b5e634ea · outbound

This paper cites an unresolved cited work.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer Unresolved cited work

Reference 440

Resolution: parse uncertain; raw_fallback, observed 2026-08-10T22:38:22.925089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation b735ca13-2ae1-4ac0-a97c-862e8cef45de · inbound

LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding cites this paper.

LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:46.762264Z

Source-reported events for the cited work

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Observation c441afbe-0c1b-4609-a8a9-d55ab5a1967a · inbound

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:34:36.864611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16dbd855-9a29-4172-8260-00ea79ed4957 · inbound

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-22T01:00:51.236919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfa85fcf-2cdf-4e1d-8934-7ba0409f6ef4 · inbound

SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing cites this paper.

SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:52.796197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82d902a7-3186-4720-a85d-6957cb10f36d · inbound

MAG-3D: Multi-Agent Grounded Reasoning for 3D Understanding cites this paper.

MAG-3D: Multi-Agent Grounded Reasoning for 3D Understanding 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:51:21.546294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08779163-fc63-47d5-92c3-8e12b46253ba · inbound

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models cites this paper.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.320043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.