Paper Citation Record · LEDGER

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices

As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 5 inbound Pith citation observations for arXiv:2506.03737.

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

pith.paper-citation-record.v1
2506.03737 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:03:17.525121Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:54:26.642378Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T19:01:46.040401Z

Reference resolution

45 of 45 outbound references displayed

verified exact4
verified fuzzy17
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12b9b99b-62d6-4100-9383-00d70f3c1b43 · outbound

This paper cites Comput- ing the matrix exponential with an optimized taylor polyno- mial approximation.Mathematics, 7:1174, 2019.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Comput- ing the matrix exponential with an optimized taylor polyno- mial approximation.Mathematics, 7:1174, 2019

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:19.293665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f21d0dd8-8adf-41db-8eb7-d0748ac59dfa · outbound

This paper cites Language Models are Few-Shot Learners.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Language Models are Few-Shot Learners

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:15.853510Z

Source-reported events for the cited work

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Observation 54f351eb-7ed1-4bac-a069-5300fd9a42ee · outbound

This paper cites GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:15.864347Z

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Observation 973f2a20-f9e5-48fb-9493-f8363e09a88c · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023.URL https://lmsys.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023.URL https://lmsys

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:15.880197Z

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Observation 72e64d48-7c70-4457-a78b-d1a2a262cb01 · outbound

This paper cites Li, and Li Fei-Fei.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Li, and Li Fei-Fei

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:19.222656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f591d58-d4a5-43b9-b8db-adf6dfd87534 · outbound

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

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:15.926770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeb28c5c-511f-46ea-a8ad-048d451bafd3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:16.645130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75268850-cf34-4eb7-b6ab-624ee0ab0432 · outbound

This paper cites Eva-02: A visual representation for neon genesis.Image and Vision Computing, 149:105171,.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Eva-02: A visual representation for neon genesis.Image and Vision Computing, 149:105171,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.068841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d02d34d-c12b-49f5-8b07-bb3afb82c252 · outbound

This paper cites an unresolved cited work.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:03:19.146585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ab59422-6a14-4bab-95c5-016a912a00f5 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.091547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa67cbb-8a47-45d7-80e5-9e01c8309ec5 · outbound

This paper cites an unresolved cited work.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:03:19.112561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 80a01eb5-f9fa-4f1f-bd53-416ef87516c5 · outbound

This paper cites Rotary Position Embedding for Vision Transformer.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Rotary Position Embedding for Vision Transformer

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.114723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6069d5b-65b8-4d0c-a349-962121214cc5 · outbound

This paper cites Translational Equivariance in Kernelizable Attention.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Translational Equivariance in Kernelizable Attention

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:03:18.272043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 37ced72e-af0c-4b46-b036-1c270c231a8f · outbound

This paper cites The impact of positional encoding on length generalization in transform- ers.Advances in Neural Information Processing Systems, 36: 24892–24928, 2023.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices The impact of positional encoding on length generalization in transform- ers.Advances in Neural Information Processing Systems, 36: 24892–24928, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:19.077543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e93ae559-9002-4cbb-9585-eab52add3cba · outbound

This paper cites Autowebglm: A large language model-based web navigating agent.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Autowebglm: A large language model-based web navigating agent

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:19.037900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 396438cd-7478-4801-ac34-1f5cec8d7300 · outbound

This paper cites LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.170264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb6adad4-5e37-470e-ad3e-679232b46e5b · outbound

This paper cites Microsoft COCO: Common Objects in Context.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Microsoft COCO: Common Objects in Context

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.176983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb945e5-e7b7-450c-8dc8-1881d1e12b68 · outbound

This paper cites We- bglm: towards an efficient web-enhanced question answer- ing system with human preferences.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices We- bglm: towards an efficient web-enhanced question answer- ing system with human preferences

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:19.002699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 27f4e856-8636-45b1-87f4-d64fe53206b2 · outbound

This paper cites Agentbench: Evaluating llms as agents.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Agentbench: Evaluating llms as agents

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.979574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 914a22aa-f76d-4424-a2ed-249999070843 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Swin transformer: Hierarchical vision transformer using shifted windows

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.212463Z

Source-reported events for the cited work

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Observation 65c4ae84-fbc8-4a0f-bb90-30933aff2108 · outbound

This paper cites Relative positional encoding for transformers with linear complexity.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Relative positional encoding for transformers with linear complexity

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.905658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee606c24-3d76-4b9a-96d9-88c5f9e152f6 · outbound

This paper cites Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.233095Z

Source-reported events for the cited work

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Observation cd92e9f9-f723-45f6-8cee-fec3f7c4d4a6 · outbound

This paper cites LieRE: Lie Rotational Positional Encodings.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices LieRE: Lie Rotational Positional Encodings

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.242892Z

Source-reported events for the cited work

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Observation 2b158ff4-da6d-482f-8388-d91140e1f7ef · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.265819Z

Source-reported events for the cited work

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Observation 7e4a1f5a-5e7e-4404-a299-dd080ca10a24 · outbound

This paper cites Improving language understanding by generative pre-training.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Improving language understanding by generative pre-training

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.852726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9fa1f528-e8fa-4a16-a27b-10baf367e29a · outbound

This paper cites Language models are unsu- pervised multitask learners.OpenAI blog, 1(8):9, 2019.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Language models are unsu- pervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.307518Z

Source-reported events for the cited work

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Observation 4d530d71-3b63-48b0-814b-d9d008faebdc · outbound

This paper cites Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and I.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and I

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.811054Z

Source-reported events for the cited work

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Observation bc43e7a5-8130-4aed-9193-0b9ef102d9ea · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.373478Z

Source-reported events for the cited work

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Observation 9409c54a-2e38-4864-b09c-766b60021958 · outbound

This paper cites Self-Attention with Relative Position Representations.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Self-Attention with Relative Position Representations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.391577Z

Source-reported events for the cited work

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Observation 7b9ff182-186a-4f52-85d3-f1f1c4d84c68 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.412046Z

Source-reported events for the cited work

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Observation b5a40937-9aad-4a59-ae69-8e59be06edca · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063,.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.417243Z

Source-reported events for the cited work

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Observation a3808efb-820c-48a6-bf52-525200d2e19b · outbound

This paper cites End- to-end memory networks.Advances in neural information processing systems, 28, 2015.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices End- to-end memory networks.Advances in neural information processing systems, 28, 2015

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.753153Z

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Observation 987513f9-9161-475e-83af-e139f4801e77 · outbound

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

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices LLaMA: Open and Efficient Foundation Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.430858Z

Source-reported events for the cited work

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Observation 0b7d1bfe-932a-47fb-970f-e1d69be8e8b1 · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Attention is all you need.Advances in Neural Information Processing Systems, 2017

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.438302Z

Source-reported events for the cited work

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Observation 6e585a2e-72cb-4904-a0d0-b4f635d6bfd7 · outbound

This paper cites Rethinking and improving relative posi- tion encoding for vision transformer.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Rethinking and improving relative posi- tion encoding for vision transformer

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.691105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 867e204b-8aee-4818-9758-af6267e5ece1 · outbound

This paper cites Vit-comer: Vision transformer with convolu- tional multi-scale feature interaction for dense predictions.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Vit-comer: Vision transformer with convolu- tional multi-scale feature interaction for dense predictions

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.643149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3ed2881-9cd1-469e-bad0-9fa6ec7dcede · outbound

This paper cites Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:17.468809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dfc17c9-aa11-4056-b3a8-39dd66787d8d · outbound

This paper cites Distilling semantic priors from sam to efficient image restoration models.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Distilling semantic priors from sam to efficient image restoration models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.598357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33d202d0-0f13-4dca-8f77-946568347456 · outbound

This paper cites IMDPrompter: Adapting SAM to image manipulation detection by cross-view automated prompt learning.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices IMDPrompter: Adapting SAM to image manipulation detection by cross-view automated prompt learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.571961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f4b02f4-d560-4eb3-8829-b9fd882d893d · outbound

This paper cites Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:03:17.916086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e0ad6eb-47e9-43e2-a190-17c800383e2c · outbound

This paper cites (13) SubstitutingA,BwithAx,By, we obtain: eAx+By =e AxeBy.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices (13) SubstitutingA,BwithAx,By, we obtain: eAx+By =e AxeBy

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.553832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be062033-7cca-40b9-8fa7-dea9c51e3c11 · outbound

This paper cites (16) Lett 2f(t)be the difference between the two expressions above.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices (16) Lett 2f(t)be the difference between the two expressions above

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.521369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f62e89a-d5fd-4661-9ac9-4fc478773182 · outbound

This paper cites (21) SinceA 1,A 2,.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices (21) SinceA 1,A 2,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:03:18.501800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f41fc52-2bd9-49d3-bc50-4a9f21bd562f · outbound

This paper cites Then: eA1x1 eA2x2 · · ·eAkxk =e A1x1+A2x2+···+Akxk , (23) implying thatA 1,A 2,.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices Then: eA1x1 eA2x2 · · ·eAkxk =e A1x1+A2x2+···+Akxk , (23) implying thatA 1,A 2,

Reference 45

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:03:17.878085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d8d74c10-ac19-49e6-b3d5-6203923fe5b1 · outbound

This paper cites We obtain: f(x 1 +y 1, x2 +y 2,.

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices We obtain: f(x 1 +y 1, x2 +y 2,

Reference 46

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:03:17.754065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation abd953b8-d01c-431c-8fdc-9a68f4ec2e8b · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:01:46.043262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f28e1c19-4032-4735-8d71-97edac601110 · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-05T10:25:17.276223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6683ef19-794a-4d4f-b703-e82680c15c9c · inbound

The Transformer as a Polar State Estimator cites this paper.

The Transformer as a Polar State Estimator ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices

Reference 173

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T02:17:07.510187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 27e241a0-8af7-4d23-b8bd-08bdff1db90c · inbound

Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference cites this paper.

Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:48.995099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db96c3ec-c7a3-424f-bb42-a5d9a0a0dfdf · inbound

When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation cites this paper.

When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-14T12:54:26.642378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.