Paper Citation Record · LEDGER

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 8 inbound Pith citation observations for arXiv:2601.15275.

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

pith.paper-citation-record.v1
2601.15275 v3

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:02:50.657028Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:55:30.013860Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:37:36.442163Z

Reference resolution

52 of 52 outbound references displayed

verified exact0
verified fuzzy0
unresolved51
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fedc77d-b6bb-47d8-bc17-916776865a1d · outbound

This paper cites Ac3d: Analyzing and improving 3d camera control in video diffusion trans- formers.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Ac3d: Analyzing and improving 3d camera control in video diffusion trans- formers

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:46.577542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f8ed8ab-8de0-43eb-9630-f6babb855e9e · outbound

This paper cites Positional encoding field.arXiv preprint arXiv:2510.20385, 2025.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Positional encoding field.arXiv preprint arXiv:2510.20385, 2025

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:46.657427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff66e488-d1f7-4da3-9654-e54746f473cf · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Emerg- ing properties in self-supervised vision transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:46.701881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0508169d-f037-4e9d-b217-b1d6d8c7371f · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:46.809149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d704db9f-a251-4f17-8f85-a374005d3a83 · outbound

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

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:46.974936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1566f84d-3315-4d20-8885-eeb5934fc992 · outbound

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

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Objaverse: A universe of annotated 3d objects

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.042203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b62937-430b-4fe3-b424-ada6d90446af · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.148988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88a2f2f9-8e3d-4731-be73-aead77c4aa8c · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.258000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7927d28a-9024-4db4-a705-dce8a36ecb07 · outbound

This paper cites Stable Virtual Camera: Generative View Synthesis with Diffusion Models.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Stable Virtual Camera: Generative View Synthesis with Diffusion Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.336179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02cfe35a-435f-495c-937a-85e8f73fc9f5 · outbound

This paper cites Cat3d: create anything in 3d with multi-view diffusion models.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Cat3d: create anything in 3d with multi-view diffusion models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.413267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 526ef374-57b2-4901-89bf-8170c488362e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.495902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0273d62-2974-495a-82da-e0fa8bf99bb7 · outbound

This paper cites Rotary position embedding for vision transformer.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Rotary position embedding for vision transformer

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.573116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33263900-55fd-43dc-822f-bac23004cb59 · outbound

This paper cites 3d concept learn- ing and reasoning from multi-view images.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention 3d concept learn- ing and reasoning from multi-view images

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.715735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d69f0bd9-e5bd-4362-9d7d-331f07bbc72b · outbound

This paper cites Lrm: Large reconstruction model for single image to 3d.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Lrm: Large reconstruction model for single image to 3d

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.807044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2683c12b-4f43-47ad-b98b-8256078444dc · outbound

This paper cites Odin: a single model for 2d and 3d segmentation.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Odin: a single model for 2d and 3d segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.867776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de6473c4-e766-472f-bda4-aa3b55cebbfd · outbound

This paper cites Lvsm: A large view synthesis model with minimal 3d inductive bias.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Lvsm: A large view synthesis model with minimal 3d inductive bias

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:47.946789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14f2893b-ab7d-47e0-9dd6-3157118045ae · outbound

This paper cites Segment any- thing.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Segment any- thing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.018188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70777f5b-784f-4964-ae2a-35647838ed60 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.094382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 992865d1-c26c-4e1f-ae07-6d469dca22b3 · outbound

This paper cites Eschernet: A generative model for scalable view synthesis.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Eschernet: A generative model for scalable view synthesis

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.198169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3987ab0b-e73e-4616-9dfe-97cb0c8e2c58 · outbound

This paper cites Cameras as relative positional encoding.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Cameras as relative positional encoding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.263921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c1c41a9-d330-4a07-bb9f-5f3269573203 · outbound

This paper cites Learnable fourier features for multi-dimensional spatial po- sitional encoding.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Learnable fourier features for multi-dimensional spatial po- sitional encoding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.353327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 312d47b2-3f13-44e6-bc9c-50f3b54581ca · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.421150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ecbbe76-e3b9-4f93-80f2-957a95207360 · outbound

This paper cites Visual instruction tuning.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Visual instruction tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.466344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 394fa997-5a7b-441b-baf9-1bfb35651bcf · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Zero-1-to-3: Zero-shot one image to 3d object

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.533366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e39b2e-9f23-49a3-bf8c-f31027718c41 · outbound

This paper cites Scaling Sequence-to-Sequence Generative Neural Rendering.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Scaling Sequence-to-Sequence Generative Neural Rendering

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.574653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a29d31ef-02f8-4866-a956-b715829f5749 · outbound

This paper cites Gta: A geometry-aware attention mechanism for multi-view transformers.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Gta: A geometry-aware attention mechanism for multi-view transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.642522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec8e417-02ce-4b4b-bbc8-8929abe6adfb · outbound

This paper cites Train short, test long: Attention with linear biases enables input length extrapolation.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Train short, test long: Attention with linear biases enables input length extrapolation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.686212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4710a5f4-c385-436c-a94d-a38aa32f85cb · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Learn- ing transferable visual models from natural language super- vision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.756145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49d48128-e54a-4fc9-9548-4f6382e25a3e · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.798579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a0c444f-39a3-4028-ab09-b670cc5c16cd · outbound

This paper cites Sam 2: Seg- ment anything in images and videos.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Sam 2: Seg- ment anything in images and videos

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.867932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2b60c47-5577-47e5-b29b-71e9f54b84bb · outbound

This paper cites Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.913721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d71ef1c1-fec8-46b3-9673-c090d1f5cd77 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention High-resolution image syn- thesis with latent diffusion models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:48.983077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 482e906a-523c-4929-9df2-b5f422432fcf · outbound

This paper cites Learning the ropes: Better 2d and 3d position encodings with string.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Learning the ropes: Better 2d and 3d position encodings with string

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:49.039205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3496c383-93e8-46b4-844c-becfb9e860e5 · outbound

This paper cites Self- attention with relative position representations.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Self- attention with relative position representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:49.077456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7febf5e-ce5a-46b8-bda4-57f503a47a35 · outbound

This paper cites DINOv3.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention DINOv3

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:49.202458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f275ce28-89c2-49cf-919b-22babc5bd996 · outbound

This paper cites A benchmark for the eval- uation of rgb-d slam systems.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention A benchmark for the eval- uation of rgb-d slam systems

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:49.361491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db9e846-593a-4a6e-9fac-146bf548f0f1 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568, 2024.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568, 2024

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:49.535159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b82d22f-153a-48c8-bea3-850666efa440 · outbound

This paper cites Bolt3d: Generating 3d scenes in seconds.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Bolt3d: Generating 3d scenes in seconds

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:49.671549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506dd14e-755c-4163-8697-7471c56d9a94 · outbound

This paper cites Lgm: Large multi-view gaus- sian model for high-resolution 3d content creation.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Lgm: Large multi-view gaus- sian model for high-resolution 3d content creation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:49.766884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f4eb199-86a2-43b6-bd67-2f8bff647967 · outbound

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

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention LLaMA: Open and Efficient Foundation Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:49.830770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 511a9a8d-5c32-4c9e-9d90-2d08da5d84de · outbound

This paper cites Ummenhofer, H.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Ummenhofer, H

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:49.943797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2a3f71-7d43-4feb-b6ca-c347a5af888d · outbound

This paper cites Attention is all you need.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Attention is all you need

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:49.995515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b3a6abb-2827-4532-b7d0-de30f3d1250c · outbound

This paper cites Bullettime: Decoupled control of time and camera pose for video generation.arXiv preprint arXiv:2512.05076, 2025.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Bullettime: Decoupled control of time and camera pose for video generation.arXiv preprint arXiv:2512.05076, 2025

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:50.045626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3000bbdf-f6b7-4e7d-92e3-7a6d08e07f5b · outbound

This paper cites Sun3d: A database of big spaces reconstructed using sfm and object labels.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Sun3d: A database of big spaces reconstructed using sfm and object labels

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:50.109414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53767309-47d5-48e2-a269-4b52e7dcdc91 · outbound

This paper cites Unifying flow, stereo and depth estimation.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Unifying flow, stereo and depth estimation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:50.150261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6882caf0-e258-4e73-8b1d-2b78acb062e2 · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Cogvideox: Text-to-video diffusion models with an expert transformer

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:50.222108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43252814-f8b0-4583-a729-8827d84e64a8 · outbound

This paper cites Unified camera positional encoding for controlled video gen- eration.arXiv preprint arXiv:2512.07237, 2025.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Unified camera positional encoding for controlled video gen- eration.arXiv preprint arXiv:2512.07237, 2025

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:50.273214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73da3fa0-1688-4d67-a0b8-c8ab2120040f · outbound

This paper cites Cameras as rays: Pose estimation via ray diffusion.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Cameras as rays: Pose estimation via ray diffusion

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:50.365186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a6d7aa-da5b-4599-8f81-147a3170be06 · outbound

This paper cites Gs-lrm: Large recon- struction model for 3d gaussian splatting.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Gs-lrm: Large recon- struction model for 3d gaussian splatting

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:50.433950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42d3eae-db78-4afb-90f3-ea17bc05e7bd · outbound

This paper cites Stereo magnification: Learning view syn- thesis using multiplane images.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Stereo magnification: Learning view syn- thesis using multiplane images

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:50.502760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96e5fc36-c429-4027-803f-37f4e8db9181 · outbound

This paper cites Llava-3d: A simple yet effective pathway to empowering lmms with 3d-awareness.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Llava-3d: A simple yet effective pathway to empowering lmms with 3d-awareness

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:50.587541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b23d47bb-5b0b-45d4-9b8a-90ac1eef5acb · outbound

This paper cites an unresolved cited work.

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention Unresolved cited work

Reference 52

Resolution: malformed identifier; no resolver link, observed 2026-08-03T09:02:50.657028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 312da80c-c5eb-4cdb-bf33-492dca4f6816 · inbound

URoPE: Universal Relative Position Embedding across Geometric Spaces cites this paper.

URoPE: Universal Relative Position Embedding across Geometric Spaces RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-08T02:18:10.671919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02c3a83e-ae25-4dea-94c7-e916896181f5 · inbound

CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation cites this paper.

CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:10.671919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 131d7a36-4001-48b2-a55d-5a48eebea1c8 · inbound

Effective Multi-sensor Conditioning for Street-view Novel-view Synthesis cites this paper.

Effective Multi-sensor Conditioning for Street-view Novel-view Synthesis RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:10.671919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6b4f42a-5282-4ff8-b001-17749fdb66c0 · inbound

RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways cites this paper.

RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-08T02:18:10.671919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab1c3669-0f78-42d4-bbb0-5b7e41c03823 · inbound

RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways cites this paper.

RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T11:55:30.013860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b575bb8-b795-41f3-8932-a8909489c1dd · inbound

DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers cites this paper.

DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:10.671919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d2d883d-7233-476a-aeff-263f0d4f09e6 · inbound

EO-VGGT: Orbital Ray-Conditioned 3D Foundation Models for Satellite Multi-View Reconstruction cites this paper.

EO-VGGT: Orbital Ray-Conditioned 3D Foundation Models for Satellite Multi-View Reconstruction RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-08T02:18:10.671919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aaee9967-1a0a-4fb3-bccf-7bfb9331e625 · inbound

PE-Field 4D: Video Generation Models as Canvas cites this paper.

PE-Field 4D: Video Generation Models as Canvas RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T22:41:46.318816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.