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Paper Citation Record · LEDGER

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri

As of 12 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2605.23474.

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

pith.paper-citation-record.v1
2605.23474 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T16:09:56.350349Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation f7a68d18-ca22-4f80-ab0f-11e6c1c69df2 · outbound

This paper cites The road towards 6G: A comprehensive survey,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri The road towards 6G: A comprehensive survey,

Reference 1

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Observation 920f49d4-3d9a-4520-8408-890b6a254b68 · outbound

This paper cites Large AI models for wireless physical layer,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Large AI models for wireless physical layer,

Reference 2

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:a12bb3c7a8d4cc6d633018382ad23f1a885b7a59db06a63895e44013f85f4aa4

Observation e6111242-eee0-4b02-ad8c-71cdd6b5c8f1 · outbound

This paper cites Signal processing and learning for next generation multiple access in 6G,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Signal processing and learning for next generation multiple access in 6G,

Reference 3

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Observation 31c45d65-b792-4507-a476-9581b2bafeef · outbound

This paper cites A comprehensive survey on GenAI-enabled 6G: Technologies, challenges, and future research avenues,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri A comprehensive survey on GenAI-enabled 6G: Technologies, challenges, and future research avenues,

Reference 4

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Observation 30a73b9e-7e5e-4e07-8c11-dc00b7029b1a · outbound

This paper cites A comprehensive survey of large AI models for future communications: Foundations, applications, and challenges,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri A comprehensive survey of large AI models for future communications: Foundations, applications, and challenges,

Reference 5

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:caabb14a9337beda0b4d08ac3223d415950089d8442827a2ed961e564ad25dcc

Observation fa460447-3912-4bf1-b261-f5c8b4e6539e · outbound

This paper cites An introduction to deep learning for the physical layer,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri An introduction to deep learning for the physical layer,

Reference 6

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:49f1fc9bf304903572a6732c9e8491321c35c6a447fd52ec073eaf4cd5040c98

Observation 32f15471-4867-43a4-b433-8b957c964777 · outbound

This paper cites Deep learning for intelligent wireless networks: A comprehensive survey,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Deep learning for intelligent wireless networks: A comprehensive survey,

Reference 7

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:db2e61d60c41f10bcd9a30a7a51c1f586268216f3c37c297034afab1d055b092

Observation 028dae7b-aeff-4e12-a111-36d5b05fed26 · outbound

This paper cites AI- driven wireless positioning: Fundamentals, standards, state-of-the-art, and challenges,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri AI- driven wireless positioning: Fundamentals, standards, state-of-the-art, and challenges,

Reference 8

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:9d8e74c7d04de9b525c4a73683ce2cd09f8176105591d618875af0f45509bc70

Observation 5e93e49c-c36f-47a4-bc5b-ea02361e9a97 · outbound

This paper cites Advancing 6G: Survey for explainable AI on communications and network slicing,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Advancing 6G: Survey for explainable AI on communications and network slicing,

Reference 9

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:ab5cf17ef0bb4d640137d2f7cb1cdbc77136d03c4abb16351d11111ab1fbcf78

Observation 31eebef0-d1f0-4aa6-9ce1-2285280d6a48 · outbound

This paper cites Wireless large AI model: shaping the AI-empowered future of 6G and beyond.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Wireless large AI model: shaping the AI-empowered future of 6G and beyond

Reference 10

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:90c61b860f233aaec6076450658d00a992f9a659aa9135e3cd58e26b0a5148af

Observation 68c37d33-d020-41a5-bd41-5bf4fd9285ca · outbound

This paper cites Big AI models for 6G wireless networks: Opportunities, challenges, and research directions,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Big AI models for 6G wireless networks: Opportunities, challenges, and research directions,

Reference 11

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:ae60bc9dc0f1dd72e5421475598212e9c9bd82f2e6a602bf5452fee94b278ea7

Observation bc620a86-480b-4b48-ab48-380e7dbdc73a · outbound

This paper cites Large language models for wireless communications: From adaptation to autonomy,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Large language models for wireless communications: From adaptation to autonomy,

Reference 12

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:f4f7157e65b7e41d44ba5998a445be24a1e93165139a7684fe96dc0ad7e9e3f4

Observation 03e1014f-8a25-4892-8fcd-ea11cfff058a · outbound

This paper cites ST-LLM: Multi-scenario adaptation and multi-task learning wireless large language model,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri ST-LLM: Multi-scenario adaptation and multi-task learning wireless large language model,

Reference 13

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Observation 05940283-ec6b-4151-8a30-737085c819c4 · outbound

This paper cites Towards channel foundation models (CFMs): Motivations, methodologies and opportunities.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Towards channel foundation models (CFMs): Motivations, methodologies and opportunities

Reference 14

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:8150b733368965f288e5fdcacdb3d49769c1dad1a51004564a1a3757be6d393e

Observation a70f79c9-3dd4-446b-9d4c-5db5c1828576 · outbound

This paper cites WiFo: Wireless foundation model for channel prediction,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri WiFo: Wireless foundation model for channel prediction,

Reference 15

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:267726fe2f05e1c073e90992bfdafee15a01a766a5e15ac9cdd8409734052bef

Observation eab7866d-01ce-4838-8723-8f268a568897 · outbound

This paper cites WirelessGPT: A generative pre-trained multi-task learning framework for wireless communication,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri WirelessGPT: A generative pre-trained multi-task learning framework for wireless communication,

Reference 16

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:993b1aee5bfbde8e4f4873e4e284e1f51524e22124314f9a83e9f6bc02e4b2ff

Observation 7cadf20e-da95-49cf-adbd-460871e7dec8 · outbound

This paper cites ChannelGPT: A large model toward real-world channel foundation model for 6G en- vironment intelligence communication,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri ChannelGPT: A large model toward real-world channel foundation model for 6G en- vironment intelligence communication,

Reference 17

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:7ed7520ac656d09d98c05018c7da1ab330d1a3f56affc22e707d01667f5a6ad3

Observation 05a91558-0a1e-42f0-b05e-95d16712867b · outbound

This paper cites LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks

Reference 18

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:c6283a15d66aa4fbf6c33b507299fb602b0bd55461546e81568dcf2e391d4e3d

Observation 25821175-f860-4d2c-8c52-ba32322a02a5 · outbound

This paper cites LWM: A pre-trained wireless foundation model for universal feature extraction,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri LWM: A pre-trained wireless foundation model for universal feature extraction,

Reference 19

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Observation c25a5ee8-4f7a-441c-af09-2970886e9c5c · outbound

This paper cites Efficient Transformers: A Survey,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Efficient Transformers: A Survey,

Reference 20

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:45b752139d8b11c982b79fff056d0ba8d910439b73c62af59c00ab0baebb23da

Observation 8fef4a51-74da-4800-8156-6238be5e76ec · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Masked autoencoders are scalable vision learners,

Reference 21

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:ea2ef0b64a442fcb8c232f05665fd8b4615acab876302f86f98283c3918b58df

Observation 0addbeac-9f77-4cb9-877d-8cd89c33e540 · outbound

This paper cites Hymba: A hybrid-head architecture for small language models,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Hymba: A hybrid-head architecture for small language models,

Reference 22

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:9d5048e3c8afd3ca199f867939319d5b3142fdeeae378b0d769df25ce9559bfd

Observation 1cb65c6e-58c0-41a7-b210-aa07102a8673 · outbound

This paper cites Attention is all you need,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Attention is all you need,

Reference 23

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:1a32d4418f9b7d770821ca39ec3d7ff3dcc9661bcd37197390fdc928b9c3b3e9

Observation adbbbe0b-a3bf-44da-ad11-0b780a75b413 · outbound

This paper cites Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,

Reference 24

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:9a4ef8397e9ba8894adc2154ef1f908717a91476cb0ae5b2f60ccb3b72313279

Observation 94af4b0b-c18c-42bc-b186-9133f235feb4 · outbound

This paper cites QuaDRiGa: A 3- D multi-cell channel model with time evolution for enabling virtual field trials,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri QuaDRiGa: A 3- D multi-cell channel model with time evolution for enabling virtual field trials,

Reference 25

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Observation 7995616a-8faf-4048-8150-b946d4c867c4 · outbound

This paper cites Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels,

Reference 26

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Observation 3798ad13-2ad4-4bc5-9737-83e935a44669 · outbound

This paper cites CSI-based fingerprinting for indoor localization: A deep learning approach,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri CSI-based fingerprinting for indoor localization: A deep learning approach,

Reference 27

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:84afb81ab038fae0614512c57cb7ae960f956d1004f6ea89f3b9b9ab66780766

Observation b5ba853a-987b-402d-abc1-a7619b4e3f5d · outbound

This paper cites Deep UL2DL: Data- driven channel knowledge transfer from uplink to downlink,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Deep UL2DL: Data- driven channel knowledge transfer from uplink to downlink,

Reference 28

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:feaaa6e332340cca0c03e952099424690a505fa7b3b3c1ed21b3b73ad35efae5

Observation d3fc4419-76ef-4a4d-9794-fa92faed20b4 · outbound

This paper cites CSI-based MIMO indoor positioning using attention-aided deep learning,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri CSI-based MIMO indoor positioning using attention-aided deep learning,

Reference 29

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:8caa201169a4b14567b12837d6364e27ac6abcc77fec29cb326b079ea638667f

Observation bd8c1773-7f46-4982-85a6-0fd7e376d211 · outbound

This paper cites Deep learning for fading channel predic- tion,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Deep learning for fading channel predic- tion,

Reference 30

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:f6128053ccad02219e2d1a0c64b44f4178ff1e8b49d61042c64c5787ec11dc63

Observation d48e9c8f-fe09-493b-a108-04fde3aeb152 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 31

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:7a9b5e871f1018ff38a8853d47e921fd75f1297f81e1d53802b18464002a3580

Observation 5ce3cc01-b805-44c2-8c81-250d67446562 · outbound

This paper cites Attention aided CSI wireless localization,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Attention aided CSI wireless localization,

Reference 32

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:17d19d7ce0130cf6faeaa7dc565a3b7ba0c1fcfb9ca14f11290cebd44186d2bc

Observation 26bf447a-1201-4c74-8691-a5e36cb50fc0 · outbound

This paper cites Accurate channel prediction based on transformer: Making mobility negligible,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Accurate channel prediction based on transformer: Making mobility negligible,

Reference 33

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:9e812ee75718f6df385aeedc63d91a05f9eac66cd2efd1d27702ac8a96d84d72

Observation 722d07bc-a56e-48dc-949f-c15657f9171f · outbound

This paper cites LLM4CP: Adapting large language models for channel prediction,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri LLM4CP: Adapting large language models for channel prediction,

Reference 34

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:4e8ee00b9bd862edd49a22fd84ce3cd36680793af9d1b811290bcd0feb4a5f8b

Observation d4273efb-e4b9-4ddf-aad5-f24334c2594c · outbound

This paper cites LLM4WM: Adapting LLM for wireless multi-tasking,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri LLM4WM: Adapting LLM for wireless multi-tasking,

Reference 35

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source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:cbaa7ab7bd128d3d45efab3fadec4fff2ec964e3918af4f1ac7e92a775f0db2b

Observation 4f6d4ac1-1aac-4a05-8b36-b161dd98d43f · outbound

This paper cites HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-12T16:09:56.350349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:879544330629fdc34246537aca7194d92213d7febe7332ff477f854eb171677f

Observation 53054311-fe80-4eb6-a071-32cb003a260a · outbound

This paper cites Millimeter wave beam-selection using out-of-band spatial information,.

Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of $\omega$ Centauri Millimeter wave beam-selection using out-of-band spatial information,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-12T16:09:56.350349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:09:56.350349Z digest=sha256:0416552cdb55409201dee10f35bee29a432c84d4ca6deabd596e806b9d6465ee

Pith citing papers

No inbound Pith citation observations are available.