CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds | Paper Citation Record

Observation 7caabb3d-d4e1-4f68-861b-bf58ef6f5024 · outbound

This paper cites write newline.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.299681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ebce41-c479-4ab8-b236-b7c05d2523e2 · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.326484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5dda510-aa6e-4ff7-a2c5-8b5fb5be5e39 · outbound

This paper cites Cont: Contrastive neural text generation.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Cont: Contrastive neural text generation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:30.022910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4544a78f-ec8a-402b-be71-47c7dc93a570 · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Scanqa: 3d question answering for spatial scene understanding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.488123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39643184-a576-4313-878a-6e3b146a9551 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.493104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ec04d4-1ab7-4e72-9ce2-914c5a704194 · outbound

This paper cites and Lavie, A.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds and Lavie, A

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.497897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4e59d8f-8d44-4172-a68a-2e01e8c3d7ad · outbound

This paper cites Grit-vlp: Grouped mini-batch sampling for efficient vision and language pre-training.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Grit-vlp: Grouped mini-batch sampling for efficient vision and language pre-training

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.905724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 061659df-143b-4e1a-a067-f22cde328c0c · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds 3djcg: A unified framework for joint dense captioning and visual grounding on 3d point clouds

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.890286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 58c0e82d-72e7-4b58-b13f-3e571313d597 · outbound

This paper cites Honeybee: Locality-enhanced projector for multimodal llm.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Honeybee: Locality-enhanced projector for multimodal llm

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.511972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c7370e-0322-4994-8a03-7d385b3e04a6 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds ShapeNet: An Information-Rich 3D Model Repository

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.516664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7df4fa98-be40-457d-ad55-7d4b71e5b948 · outbound

This paper cites Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:48:28.523336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5aea0609-a8fe-4bbe-8601-51c7b4d4024a · outbound

This paper cites Language conditioned spatial relation reasoning for 3d object grounding.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Language conditioned spatial relation reasoning for 3d object grounding

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.864146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b6a28f74-a71e-4415-b5bf-2c2b18e0eaa1 · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds End-to-end 3d dense captioning with vote2cap-detr

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.720330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fd03218-e748-4830-b514-92384b7218c4 · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Ll3da: Visual interactive instruction tuning for omni-3d understanding reasoning and planning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.554510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 145c03e3-412e-4a79-8156-34b84d87e749 · outbound

This paper cites an unresolved cited work.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:48:29.538747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f4da19a2-90a8-40c3-a8c2-25888ab2d987 · outbound

This paper cites X., Savva, M., Halber, M., Funkhouser, T., and Nie ner, M.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds X., Savva, M., Halber, M., Funkhouser, T., and Nie ner, M

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.560131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c17274ca-4ed9-412d-a532-054b95dfbd63 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Objaverse: A universe of annotated 3d objects

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.645925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad0e20be-64a3-4286-a225-c710568559c1 · outbound

This paper cites The Llama 3 Herd of Models.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds The Llama 3 Herd of Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.739675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d84bc00-778c-479e-9640-4fe393d8eaad · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.868837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8df9538-ca08-4f60-9c78-fe46812253a5 · outbound

This paper cites Detecting and preventing hallucinations in large vision language models.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Detecting and preventing hallucinations in large vision language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.983771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea930fc1-ced0-4f12-be11-471d0703ff7e · outbound

This paper cites Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.988637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e859bf68-a441-466b-bb1a-8bb872b246af · outbound

This paper cites Gaussian Error Linear Units (GELUs).

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Gaussian Error Linear Units (GELUs)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.993391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b64bf11-b2d3-44e6-86ce-e42c6d310600 · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds ORPO: Monolithic Preference Optimization without Reference Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:26.999401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7376d52c-1cb0-44c5-9887-e4ce9f99f5a9 · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds 3d-llm: Injecting the 3d world into large language models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.004600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 907e174d-fdc8-404d-b5db-bf8aa789b7cb · outbound

This paper cites Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.009762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e352672-3fe9-440d-a04c-1a09de14c71c · outbound

This paper cites An embodied generalist agent in 3d world.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds An embodied generalist agent in 3d world

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.482609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3223d6d8-4d8b-42ed-9e74-c8927c15f0bf · outbound

This paper cites ContraCLM: Contrastive Learning For Causal Language Model.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds ContraCLM: Contrastive Learning For Causal Language Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.021444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dbdaa2f-3a25-43b1-bba3-fee4c827c489 · outbound

This paper cites Bootstrapping vision-language learning with decoupled language pre-training.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Bootstrapping vision-language learning with decoupled language pre-training

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.466528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c5137e5-da9c-4bdd-a37b-3bb79772401c · outbound

This paper cites Mistral 7B.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Mistral 7B

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.031550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a140425f-c0ec-4903-bb9c-f2ebc5b204b0 · outbound

This paper cites L., Bansal, M., and Liu, J.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds L., Bansal, M., and Liu, J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.328687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd2380ff-9970-4e35-b715-792e8b8a58dc · outbound

This paper cites an unresolved cited work.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.041603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8973470f-ca4b-4455-970a-b1deae07e9e5 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Rouge: A package for automatic evaluation of summaries

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.046499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e123e7a5-7e1b-4075-b8fc-c3f094ac7ab0 · outbound

This paper cites an unresolved cited work.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.051330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c36d4596-e9ec-49f7-8339-257f67e36e31 · outbound

This paper cites an unresolved cited work.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.055940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8d95ce-90f6-4eef-a3e4-a1655c2120a7 · outbound

This paper cites an unresolved cited work.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.102283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf68995-3482-4df4-9bd3-4d0af9823717 · outbound

This paper cites BRIO: Bringing Order to Abstractive Summarization.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds BRIO: Bringing Order to Abstractive Summarization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.273833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89810cc6-6a75-4756-8b18-e1e3dfc206eb · outbound

This paper cites Scalable 3d captioning with pretrained models.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Scalable 3d captioning with pretrained models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.182024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f7ae0f13-03a1-47e9-829e-8ac4747cb558 · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds SQA3D: Situated Question Answering in 3D Scenes

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.366951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35b73b15-5ec6-4e12-8b32-ba45471de13d · outbound

This paper cites an unresolved cited work.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.371627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 928d637c-e913-4640-8b28-6d859f480fc4 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Bleu: a method for automatic evaluation of machine translation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.376225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3427e288-41f0-49fb-9630-8abe245c45c3 · outbound

This paper cites Advances and perspectives in collaborative robotics: a review of key technologies and emerging trends.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Advances and perspectives in collaborative robotics: a review of key technologies and emerging trends

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.146144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e670e6fb-7f3d-439a-93d0-ad706ff61bbb · outbound

This paper cites Gpt4point: A unified framework for point-language understanding and generation.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Gpt4point: A unified framework for point-language understanding and generation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:29.130662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49129600-0c70-4aa3-9c67-81cba00d6ca3 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.390781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db0175b4-dbc8-485c-9f06-88a481c24751 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.396273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3a3e04d-15ba-490d-9a09-9e0cbe665b3b · outbound

This paper cites Contrastive Learning with Hard Negative Samples.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Contrastive Learning with Hard Negative Samples

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.401731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c194bf40-4a57-43aa-84ed-fd85486b768d · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Language-grounded indoor 3d semantic segmentation in the wild

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:28.881270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9604f3b8-9588-4a8f-be45-cda265433c89 · outbound

This paper cites Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.485988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd0d7682-2547-4068-8473-29de6317ac55 · outbound

This paper cites and Koustoumpardis, P.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds and Koustoumpardis, P

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:28.762830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87f6535b-a278-4a92-89d1-09822afc238d · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Gemma: Open Models Based on Gemini Research and Technology

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.495110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07420348-b81c-40ef-b3e2-05140a782ec9 · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.500267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58a3ea3a-ffe9-4441-879a-153a3195a736 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds N., Kaiser, ., and Polosukhin, I

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.505942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a5a071a-e59f-4a71-87e7-90787dbc6bae · outbound

This paper cites Cider: Consensus-based image description evaluation.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Cider: Consensus-based image description evaluation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.514505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffedf3cc-2089-4b54-bbf4-ba1ef83e7434 · outbound

This paper cites Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.520318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e08e82a-1f50-4ed4-9adc-c01f18a53f3b · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.526667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c7ee131-1dec-4813-9179-a90a076da1d4 · outbound

This paper cites Contrastive Instruction Tuning.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Contrastive Instruction Tuning

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:48:28.094689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba4c14e4-3ec0-4d57-bf35-ae7e34aae2ce · outbound

This paper cites 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.536522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db07c3f3-5494-432e-ac24-3b5949de8334 · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:28.727456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b9ef01a3-a29c-4a5e-9094-8278d42682ff · outbound

This paper cites Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.570775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a483eb4-e3cf-4bbd-a352-220337543f0c · outbound

This paper cites Click: Controllable text generation with sequence likelihood contrastive learning.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Click: Controllable text generation with sequence likelihood contrastive learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:28.711424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dafc9267-fc16-4791-b6cb-f08ed2f099e4 · outbound

This paper cites Lima: Less is more for alignment.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Lima: Less is more for alignment

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:28.694638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e06730dc-7927-4c02-9466-83cc0853dad0 · outbound

This paper cites Uni3d: Exploring unified 3d representation at scale.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Uni3d: Exploring unified 3d representation at scale

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:28.678174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1e48be94-5faf-4e68-b0cf-6d361b8977aa · outbound

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds 3d-vista: Pre-trained transformer for 3d vision and text alignment

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.991615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers