Paper Citation Record · LEDGER

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning

As of 22 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2411.16761.

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

pith.paper-citation-record.v1
2411.16761 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:51:00.548967Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T11:12:41.130806Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:13:02.889016Z

Reference resolution

52 of 52 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98657fc5-a208-4ada-b229-c5b56bdc3602 · outbound

This paper cites GPT-4 Technical Report.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation 92df7e73-02b3-4a55-b01c-0f6accf25c7b · outbound

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

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Flamingo: a visual language model for few-shot learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T13:51:00.333999Z

Source-reported events for the cited work

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Observation 8d042221-d275-4515-b938-ba29d7cd1c47 · outbound

This paper cites Claude 3.5 sonnet model card addendum.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Claude 3.5 sonnet model card addendum

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.383100Z

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Observation 9d7703ce-7359-454d-84ce-77bc2a1a4653 · outbound

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

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 4

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Observation d5c3bd4e-2345-4f79-8f22-a7f799a9f909 · outbound

This paper cites Egocentric vehicle dense video captioning.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Egocentric vehicle dense video captioning

Reference 5

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Source-reported events for the cited work

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Observation 3652958d-4a66-4fb2-abf7-20a1e0836eaf · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 6

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Source-reported events for the cited work

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Observation 7d66eed1-557e-4b08-afad-00300d730aaa · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.361261Z

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Observation e8a86ecc-dfb7-4ca6-81b6-dcb33b12e495 · outbound

This paper cites A benchmark for reason- ing with spatial prepositions.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning A benchmark for reason- ing with spatial prepositions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.347413Z

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Observation dad0ab57-fb61-42bb-8e0a-b7e920424163 · outbound

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

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Instructblip: Towards general- purpose vision-language models with instruction tuning,

Reference 9

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Source-reported events for the cited work

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Observation 7aa87d5a-031b-4b8e-8a3b-eccbd0dd0010 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Imagenet: A large-scale hierarchical image database

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.324596Z

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Observation 65f975cd-6008-4083-bb41-586171b570ae · outbound

This paper cites Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.308194Z

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Observation 6260e3ea-0abc-4d22-9a38-23913b96f1df · outbound

This paper cites Pedestrian detection: An evaluation of the state of the art.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Pedestrian detection: An evaluation of the state of the art

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.289802Z

Source-reported events for the cited work

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Observation 0debd8bf-b013-495e-8e81-4a24490c601b · outbound

This paper cites Pedestrian movement direction recognition using convolutional neural networks.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Pedestrian movement direction recognition using convolutional neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.273896Z

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Observation 468b7edc-3849-497a-90b3-76bd82053dda · outbound

This paper cites Palm-e: An embodied multimodal language model.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Palm-e: An embodied multimodal language model

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.259070Z

Source-reported events for the cited work

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Observation 166481fb-dcd3-4cb3-9471-eb55c41bb38f · outbound

This paper cites Integrated pedes- trian classification and orientation estimation.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Integrated pedes- trian classification and orientation estimation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.245433Z

Source-reported events for the cited work

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Observation f6285ba5-5f0a-4c36-a443-9e336c2b9168 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 16

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Source-reported events for the cited work

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Observation f4eba972-771a-4015-a955-4f89dc31be2f · outbound

This paper cites Image based estimation of pedestrian orientation for improving path pre- diction.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Image based estimation of pedestrian orientation for improving path pre- diction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.231701Z

Source-reported events for the cited work

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Observation 85b136eb-d572-46ef-86b2-6850ecb7323d · outbound

This paper cites Phys- ically grounded vision-language models for robotic manipu- lation.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Phys- ically grounded vision-language models for robotic manipu- lation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.217051Z

Source-reported events for the cited work

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Observation c2a4c464-c645-4b87-be3f-806d71ab2873 · outbound

This paper cites Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation

Reference 19

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Source-reported events for the cited work

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Observation 5b3f2ce3-ce83-4c87-9ba7-2635f92b801b · outbound

This paper cites Human brain dynamics accompanying use of egocentric and allocentric reference frames during navigation.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Human brain dynamics accompanying use of egocentric and allocentric reference frames during navigation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.199835Z

Source-reported events for the cited work

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Observation aa94c7c4-0278-4840-baee-96c27dd51a17 · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Ego4d: Around the world in 3,000 hours of egocentric video

Reference 21

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Observation 3bc83d3c-d248-4095-bb19-9cab35fd42e9 · outbound

This paper cites Loc-zson: Language-driven object-centric zero-shot object retrieval and navigation.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Loc-zson: Language-driven object-centric zero-shot object retrieval and navigation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.177741Z

Source-reported events for the cited work

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Observation 49d902cb-5626-41ec-b50b-a6afef179bcf · outbound

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

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Lora: Low- rank adaptation of large language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.159976Z

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Observation 3825dca1-753e-4a4f-83a7-3065d42a2508 · outbound

This paper cites Egoexolearn: A dataset for bridging asyn- chronous ego-and exo-centric view of procedural activities in real world.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Egoexolearn: A dataset for bridging asyn- chronous ego-and exo-centric view of procedural activities in real world

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.145535Z

Source-reported events for the cited work

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Observation 30254ba8-f78c-4466-a255-87442d5bdf37 · outbound

This paper cites What’s “up” with vision-language models? investigating their strug- gle with spatial reasoning.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning What’s “up” with vision-language models? investigating their strug- gle with spatial reasoning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.126517Z

Source-reported events for the cited work

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Observation c9f4f3f9-f795-42f9-b4a4-bb8c3b1aff51 · outbound

This paper cites Frames of reference and molyneux’s question: Crosslinguistic evidence.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Frames of reference and molyneux’s question: Crosslinguistic evidence

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.106047Z

Source-reported events for the cited work

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Observation f01eadcb-cf25-414b-91d5-35854a66354c · outbound

This paper cites Deeper, broader and artier domain generaliza- tion.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Deeper, broader and artier domain generaliza- tion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.090421Z

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Observation f9f762bb-497d-4eca-b956-d567e5a32bc4 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Evaluating Object Hallucination in Large Vision-Language Models

Reference 28

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Observation 2aa98f29-2aae-4a5d-9c04-89eed2b1baf2 · outbound

This paper cites Microsoft coco: Common objects in context.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Microsoft coco: Common objects in context

Reference 29

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Observation 0edff087-e152-4151-ab17-17ed8fb502d7 · outbound

This paper cites Visual instruction tuning.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Visual instruction tuning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.067161Z

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Observation 5f68169d-043f-4477-a9c6-c61676db6a2c · outbound

This paper cites Decoupled weight de- cay regularization.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Decoupled weight de- cay regularization

Reference 31

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Observation a5d6e9c2-2afb-419b-978a-cd830d9868ed · outbound

This paper cites Egoschema: A diagnostic benchmark for very long- form video language understanding.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Egoschema: A diagnostic benchmark for very long- form video language understanding

Reference 32

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Observation bba0b25c-2550-41d1-9cbb-51a87562aa3f · outbound

This paper cites Embodiedgpt: Vision-language pre-training via embodied chain of thought.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Embodiedgpt: Vision-language pre-training via embodied chain of thought

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:01.034723Z

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Observation 9406d84a-1528-4af5-a02f-6e5c1e1fe225 · outbound

This paper cites Pose es- timation for category specific multiview object localization.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Pose es- timation for category specific multiview object localization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:00.907779Z

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Observation 12005bce-e790-4a9b-af33-c1806d6fdbca · outbound

This paper cites Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality

Reference 35

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Observation eb825cd3-e964-4672-ab7d-5c3a1596af12 · outbound

This paper cites Moment matching for multi-source domain adaptation.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Moment matching for multi-source domain adaptation

Reference 36

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Observation 05368f0b-6c6e-4a22-8417-e7f4f4db5ee3 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T13:51:00.481880Z

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Observation 08156588-335c-4d2e-939f-55b195cbde3f · outbound

This paper cites Dreamfusion: Text-to-3d using 2d diffusion.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Dreamfusion: Text-to-3d using 2d diffusion

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T13:51:00.486107Z

Source-reported events for the cited work

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Observation 6b02b073-5dcf-4928-82fb-bf9d71c1e174 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T13:51:00.490426Z

Source-reported events for the cited work

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Observation 7fed912b-d058-4c8c-94d0-64fc8a1f78d9 · outbound

This paper cites Lmdrive: Closed-loop end-to-end driving with large language models.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Lmdrive: Closed-loop end-to-end driving with large language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:00.866393Z

Source-reported events for the cited work

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Observation ea9594f9-1af7-4836-882b-80ef7feae745 · outbound

This paper cites Gemini 1.5: Unlocking multimodal under- standing across millions of tokens of context (2024).

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Gemini 1.5: Unlocking multimodal under- standing across millions of tokens of context (2024)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:00.850417Z

Source-reported events for the cited work

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Observation 8a4acee8-9565-4872-a764-39eaea3d3b19 · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal llms.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Eyes wide shut? exploring the visual shortcomings of multimodal llms

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:00.834661Z

Source-reported events for the cited work

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Observation 14be0946-ce2c-41d8-b6c2-f9fd0333e926 · outbound

This paper cites A fronto-parietal system for computing the egocentric spatial frame of refer- ence in humans.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning A fronto-parietal system for computing the egocentric spatial frame of refer- ence in humans

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:00.816525Z

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Observation aa019bca-add5-494f-a46d-ca74d7eb0e9d · outbound

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

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Visionllm: Large language model is also an open- ended decoder for vision-centric tasks

Reference 44

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Observation b662f74c-ac89-4e91-8e0e-f8c78be60371 · outbound

This paper cites Holoassist: an egocen- tric human interaction dataset for interactive ai assistants in the real world.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Holoassist: an egocen- tric human interaction dataset for interactive ai assistants in the real world

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T13:51:00.518417Z

Source-reported events for the cited work

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Observation 16c38780-a7d7-45ea-9403-66026202efe5 · outbound

This paper cites Editable scene simulation for autonomous driving via collaborative llm-agents.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Editable scene simulation for autonomous driving via collaborative llm-agents

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T13:51:00.523691Z

Source-reported events for the cited work

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Observation 751cf349-11d6-48df-bad6-8f3640c01f88 · outbound

This paper cites Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:00.769966Z

Source-reported events for the cited work

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Observation e6056df6-dfc3-4ef8-93b7-d56e6a06ac5a · outbound

This paper cites Retrieval-augmented egocentric video captioning.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Retrieval-augmented egocentric video captioning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T13:51:00.532156Z

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Observation c85efa5a-0a7d-4395-b640-954d00a9471e · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:00.745525Z

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Observation dfe4577d-c8ed-4f46-9b5a-d89befcbdc5b · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:00.731522Z

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Observation c9e08196-fae1-4fdd-b705-42daaaa2cb96 · outbound

This paper cites The neural basis of the egocentric and allocentric spatial frame of refer- ence.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning The neural basis of the egocentric and allocentric spatial frame of refer- ence

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:00.716897Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4f05f16d-9d49-4f6e-9fa0-21376ae970bb · outbound

This paper cites yes” or “no.

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning yes” or “no

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:51:00.700836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation f9d7873b-8f6f-47f2-8402-09bbd1246c7f · inbound

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models cites this paper.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.890631Z

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Observation 390e76f5-04cc-4123-aafa-e0252ab906b1 · inbound

Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning cites this paper.

Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:10:53.787696Z

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