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Paper Citation Record · LEDGER

Towards a Foundation Model for Communication Systems

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.14603.

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

pith.paper-citation-record.v1
2505.14603 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:01.195850Z

measured 39 of 39 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T21:07:40.256977Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:07:46.972507Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact8
  • verified fuzzy3
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26277b25-4d30-41c7-92ad-890424a816ef · outbound

This paper cites NR; Physical Channels and Modulation, 3GPP Standard TS 38.211, 2018.

Towards a Foundation Model for Communication Systems NR; Physical Channels and Modulation, 3GPP Standard TS 38.211, 2018

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:37:05.744737Z

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.

source=arxiv_source observed=2026-08-07T15:36:55.764925Z digest=sha256:ea480bcc638115fcee12144a6336c02e6c01b3cc166a139f46141f83d232e980

Observation 5faa7e11-d195-4877-86f2-165b794fd3e1 · outbound

This paper cites an unresolved cited work.

Towards a Foundation Model for Communication Systems Unresolved cited work

Reference 2

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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.

source=arxiv_source observed=2026-08-07T15:36:55.848282Z digest=sha256:a55d307e32ec10102ab657237257b51a1ae3348ef3d9e30689305fb3cd97a41c

Observation ff2d4d5b-0f5c-41dd-96b9-7273c32dbbfd · outbound

This paper cites an unresolved cited work.

Towards a Foundation Model for Communication Systems Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-07T15:37:05.167986Z

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.

source=arxiv_source observed=2026-08-07T15:36:55.989968Z digest=sha256:97bf47e030627543d391993bc1aa2919209371e227af377ee1b0e4cdced2084a

Observation 7f2fc436-ef75-4ab3-acd8-2f2c316ef005 · outbound

This paper cites A Foundation Model for the Earth System.

Towards a Foundation Model for Communication Systems A Foundation Model for the Earth System

Reference 4

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no resolver link, observed 2026-08-07T15:36:56.111592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:56.111592Z digest=sha256:e7b1229ea27509c83e2d4efcb5d7e879128314d65eabea59ba3caa95cb19d575

Observation ccd49bb1-be92-4e0d-9b39-e764ec4d3ef6 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Towards a Foundation Model for Communication Systems On the Opportunities and Risks of Foundation Models

Reference 5

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no resolver link, observed 2026-08-07T15:36:56.270535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:56.270535Z digest=sha256:3e5336ff06f35d9cafec17eddb0c958b83bc519556bb47b8812bca55259bd660

Observation 7a58392b-257f-4112-bf1e-bfe05829a3da · outbound

This paper cites Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications.

Towards a Foundation Model for Communication Systems Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications

Reference 6

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no resolver link, observed 2026-08-07T15:36:56.361786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:56.361786Z digest=sha256:a79dd411e02e8f4a3308b5f24d8f4ff9d83171e98cf3f6f5e04e80e96b8b8508

Observation b9eae6d5-b575-4723-9821-2e20512be1e8 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Towards a Foundation Model for Communication Systems Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 7

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no resolver link, observed 2026-08-07T15:36:56.449803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:56.449803Z digest=sha256:9cb870d59419f027d8cca661f87864944cb79ec5e10ff2c56b2f6dbde6c73851

Observation 955c6e7e-142b-4543-aba4-05da77ebfb9c · outbound

This paper cites NVLM: Open Frontier-Class Multimodal LLMs.

Towards a Foundation Model for Communication Systems NVLM: Open Frontier-Class Multimodal LLMs

Reference 8

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no resolver link, observed 2026-08-07T15:36:56.614888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:56.614888Z digest=sha256:a024fbd79a86e6b2bf64fc2ac6b5944e890ff60f2ac67f0882e20497b06ea517

Observation 21519955-cc1a-4914-83e5-d678fa61a425 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Towards a Foundation Model for Communication Systems A decoder-only foundation model for time-series forecasting

Reference 9

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no resolver link, observed 2026-08-07T15:36:56.760565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:56.760565Z digest=sha256:8604307b291774b1a9d9aa73a87b042c759f0e5ec9ea0d348a7aa58ba1111ed0

Observation 622fbe29-d991-48c7-8ff4-21f7a26178e7 · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Towards a Foundation Model for Communication Systems BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 10

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no resolver link, observed 2026-08-07T15:36:56.965634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:56.965634Z digest=sha256:f58c3ad1b67bf8b60fe86cac1e4386682779f548bcf8974c9476535c09384f06

Observation 1e149378-0cef-43d9-b479-3c891094e3c6 · outbound

This paper cites an unresolved cited work.

Towards a Foundation Model for Communication Systems Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:37:04.868498Z

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.

source=arxiv_source observed=2026-08-07T15:36:57.096230Z digest=sha256:8b4301ffcad925a908aa46a0178acb806b272ccbd00b2ac0fe1d0a2ff05e62ab

Observation 3b8efe38-a897-4a3b-b33e-0e63ade21f75 · outbound

This paper cites an unresolved cited work.

Towards a Foundation Model for Communication Systems Unresolved cited work

Reference 12

Resolution
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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.

source=arxiv_source observed=2026-08-07T15:36:57.259412Z digest=sha256:b4f48ec3481e7d717e3f0c2906146b0825e2fe8efdad88ab9d18b0a6b8134c91

Observation 3492a46f-bba1-4aea-b48a-178ee438078a · outbound

This paper cites Moment: A family of open time-series foundation models.

Towards a Foundation Model for Communication Systems Moment: A family of open time-series foundation models

Reference 13

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no resolver link, observed 2026-08-07T15:36:57.376617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:57.376617Z digest=sha256:169b97cc6c4dab10df55a883b3448ade5b2bd26f2ec57627bcfaad8eaadeb94b

Observation 9addd833-d026-4155-bd4b-6af3b774d790 · outbound

This paper cites The Llama 3 Herd of Models.

Towards a Foundation Model for Communication Systems The Llama 3 Herd of Models

Reference 14

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no resolver link, observed 2026-08-07T15:36:57.507535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:57.507535Z digest=sha256:44623603d8c57136932dd97be03cb99bf4c9ea9236ac4b7510e86701795075cc

Observation e8388e58-474e-4e5c-8f07-4ae95bf4907b · outbound

This paper cites an unresolved cited work.

Towards a Foundation Model for Communication Systems Unresolved cited work

Reference 15

Resolution
verified exact
doi, observed 2026-08-07T15:37:02.723455Z

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.

source=arxiv_source observed=2026-08-07T15:36:57.673358Z digest=sha256:2145de560a90ad651a059158479b9f4d5bee317c5a9d5a7c1a1aa4eb77af74e3

Observation 64de86cc-f127-4f8d-aff3-00a8e008ed0c · outbound

This paper cites Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

Towards a Foundation Model for Communication Systems Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 16

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no resolver link, observed 2026-08-07T15:36:57.811388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:57.811388Z digest=sha256:8dfca8a4a0f04bec493f99afa7dab9e3596590e1a96f2faf3aeefde2ab1097e7

Observation 5bd06189-b122-48a9-bd3b-7f57c09c06b1 · outbound

This paper cites an unresolved cited work.

Towards a Foundation Model for Communication Systems Unresolved cited work

Reference 17

Resolution
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raw_fallback, observed 2026-08-07T15:37:04.391048Z

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.

source=arxiv_source observed=2026-08-07T15:36:57.992911Z digest=sha256:2235e07127015bbd00568800f60990fb46b21832cbb00e1ea56b9d7fcab0f3b9

Observation ec486013-8451-4d3e-86e1-7fd00c8d8888 · outbound

This paper cites Robust channel estimation for ofdm systems with rapid dispersive fading channels.

Towards a Foundation Model for Communication Systems Robust channel estimation for ofdm systems with rapid dispersive fading channels

Reference 18

Resolution
verified exact
doi, observed 2026-08-07T15:37:02.473471Z

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.

source=arxiv_source observed=2026-08-07T15:36:58.161645Z digest=sha256:396b76712e3e5349437ea9341cd618d292b1d2559dae7a6c150c01fcd1eb7e45

Observation 9c4e1c3c-c3e9-4cb1-ab61-d5d1ba13d4ec · outbound

This paper cites Deep learning methods in communication systems: A review.

Towards a Foundation Model for Communication Systems Deep learning methods in communication systems: A review

Reference 19

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verified exact
doi, observed 2026-08-07T15:37:02.243548Z

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.

source=arxiv_source observed=2026-08-07T15:36:58.338471Z digest=sha256:74e7dec0a581a987c9eed1b30c9622390d7ef43de81cc8e507624580724bd0ef

Observation bd30588b-e4ef-41d9-a8b5-7f9a0bdabe9e · outbound

This paper cites Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts.

Towards a Foundation Model for Communication Systems Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

Reference 20

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no resolver link, observed 2026-08-07T15:36:58.460028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:58.460028Z digest=sha256:de3c934004a99b318e8cea0776a28b5539c0d8c22a652790dc0f806bb321c0d0

Observation 701d4e2c-bd1e-45e0-ae2a-c2cde341ec43 · outbound

This paper cites Sundial: A Family of Highly Capable Time Series Foundation Models.

Towards a Foundation Model for Communication Systems Sundial: A Family of Highly Capable Time Series Foundation Models

Reference 21

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no resolver link, observed 2026-08-07T15:36:58.619126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:58.619126Z digest=sha256:31bcc47bd239b4aebe8e4b87e4e7593a274f9f67227236a0ae3ddd818778e585

Observation dcce4cf5-cc7d-4277-a13b-47c0015922dd · outbound

This paper cites an unresolved cited work.

Towards a Foundation Model for Communication Systems Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-07T15:37:04.130223Z

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.

source=arxiv_source observed=2026-08-07T15:36:58.808203Z digest=sha256:a273540ea3a68c442bae87b059fda80d3ac3c55e689cd670e3aca666ea5f03a8

Observation e90d877c-4bb1-4264-aa9f-914ae14965ee · outbound

This paper cites TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications.

Towards a Foundation Model for Communication Systems TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications

Reference 23

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source=arxiv_source observed=2026-08-07T15:36:58.993788Z digest=sha256:dc40c3cd2f3b2fd6a622348327fc631976e4d25b54b5b33c785e0626ce8801e9

Observation cd8c9777-cf45-4f5f-89f4-22f2c18f1753 · outbound

This paper cites Openai o1 system card, 2024.

Towards a Foundation Model for Communication Systems Openai o1 system card, 2024

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:59.169978Z digest=sha256:909c9aa33e43ab377a1eb6623191995c5c986bf8e04e696e5aa4f89a460c56eb

Observation d05e5232-e47a-464d-8f97-e248f753cbd2 · outbound

This paper cites Telecom Language Models: Must They Be Large?.

Towards a Foundation Model for Communication Systems Telecom Language Models: Must They Be Large?

Reference 25

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no resolver link, observed 2026-08-07T15:36:59.319933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:59.319933Z digest=sha256:5953836f8ed0c1666b018def8a2bdb4c9919bd5d665d8ffc26902f3ffe41bb7d

Observation cbef1a18-f0a2-4e93-9c22-bf5c4800116e · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

Towards a Foundation Model for Communication Systems Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 26

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source=arxiv_source observed=2026-08-07T15:36:59.482253Z digest=sha256:d5a1c1f7e687c209c7a1bbd124cd969e3836fb21cd34026fc4ce524d9b45b9fe

Observation 56d477dc-4bf8-458e-b024-d45574251bc8 · outbound

This paper cites Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G.

Towards a Foundation Model for Communication Systems Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G

Reference 27

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no resolver link, observed 2026-08-07T15:36:59.590011Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:59.590011Z digest=sha256:4089a2d160efdad457f38871fb8b220b7601bd3de62e592a86642dd5e52ec232

Observation 4ae70e8e-1838-4eb4-899d-6e86c4f7e6b3 · outbound

This paper cites an unresolved cited work.

Towards a Foundation Model for Communication Systems Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-07T15:36:59.779792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:59.779792Z digest=sha256:c11bfff44d59ae70dfaca34cfdb0904e3153c6b86bbb75331426cc27109ecf24

Observation 30f0f0d0-8039-4ba1-a02f-75f07c4f04a5 · outbound

This paper cites Time-moe: Billion-scale time series foundation models with mixture of experts.

Towards a Foundation Model for Communication Systems Time-moe: Billion-scale time series foundation models with mixture of experts

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T15:37:03.889376Z

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.

source=arxiv_source observed=2026-08-07T15:36:59.917073Z digest=sha256:f9e18438a07622bff0a21d6fd70ca87e6bb07457f1a22d456de26cf9cb3235fa

Observation 26827c24-a685-4fe6-bbcc-ca1a125c6e66 · outbound

This paper cites Machine learning in communication systems and networks.

Towards a Foundation Model for Communication Systems Machine learning in communication systems and networks

Reference 30

Resolution
verified exact
doi, observed 2026-08-07T15:37:01.988166Z

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.

source=arxiv_source observed=2026-08-07T15:37:00.082565Z digest=sha256:5c382c35096317742f1a84da1cfdb7ff92d70f62b75291618616fbe4b561dad0

Observation 18490f29-f4fc-4d65-8149-13bd0072803d · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Towards a Foundation Model for Communication Systems Gemini: A Family of Highly Capable Multimodal Models

Reference 31

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no resolver link, observed 2026-08-07T15:37:00.214718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:37:00.214718Z digest=sha256:76162d6cb0cd165c3e7f6ab0c7921fbe9cf25a6046e649983bad331d6ff5dbb5

Observation 09745f7a-e339-4f0c-a5bd-bea104349ea1 · outbound

This paper cites Emergence of deep learning as a potential solution for detection, recovery and de-noising of signals in communication systems.

Towards a Foundation Model for Communication Systems Emergence of deep learning as a potential solution for detection, recovery and de-noising of signals in communication systems

Reference 32

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doi, observed 2026-08-07T15:37:01.703775Z

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.

source=arxiv_source observed=2026-08-07T15:37:00.365515Z digest=sha256:94a006d0966faa8daac2d0ce144c4f16523b1494d10f78aa1516bc9fd8c7459d

Observation 66f540c9-eac9-4856-bc0c-c997326112ef · outbound

This paper cites and Viswanath, P.

Towards a Foundation Model for Communication Systems and Viswanath, P

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T15:37:03.630955Z

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.

source=arxiv_source observed=2026-08-07T15:37:00.523629Z digest=sha256:41d18dc0bf694ac2cd96c3f006278fce49b01cf219796cc59574cc5f35ef19ec

Observation 620fd595-b39a-405c-8917-32354dbb929c · outbound

This paper cites Machine Learning in Communications: A Road to Intelligent Transmission and Processing.

Towards a Foundation Model for Communication Systems Machine Learning in Communications: A Road to Intelligent Transmission and Processing

Reference 34

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local_arxiv, observed 2026-08-07T15:37:03.244035Z

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.

source=arxiv_source observed=2026-08-07T15:37:00.639690Z digest=sha256:d21792c9dd0c0945742f6aad8f5446ca5195c27a73868d4f047df5d3e043f193

Observation 513a9e21-95f5-4f4a-94c7-d70f3cb32bd8 · outbound

This paper cites an unresolved cited work.

Towards a Foundation Model for Communication Systems Unresolved cited work

Reference 35

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verified exact
doi, observed 2026-08-07T15:37:01.436809Z

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.

source=arxiv_source observed=2026-08-07T15:37:00.762800Z digest=sha256:c520bd03153283fe9558360432b7c0acf36c690b417f9e94d6e8470628ceb5d9

Observation a816c555-7f81-4562-b567-eb2ef86e3856 · outbound

This paper cites Role of deep learning in wireless communications.

Towards a Foundation Model for Communication Systems Role of deep learning in wireless communications

Reference 36

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no resolver link, observed 2026-08-07T15:37:00.897015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:37:00.897015Z digest=sha256:7c1f10a1670773f7c1aa7dfffd609edc4965f873467fe98cc91c35762164d990

Observation 1421b855-4ce0-4504-b685-7a7cbc16026a · outbound

This paper cites and Šišul, G.

Towards a Foundation Model for Communication Systems and Šišul, G

Reference 37

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raw_fallback, observed 2026-08-07T15:37:02.983768Z

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.

source=arxiv_source observed=2026-08-07T15:37:01.074631Z digest=sha256:a765967a8488acf219d4956160e71f1907647fad1d57dcec6ba88f2847a06997

Observation 312b68df-9520-492b-967f-e76a5b800916 · outbound

This paper cites write newline.

Towards a Foundation Model for Communication Systems write newline

Reference 38

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no resolver link, observed 2026-08-07T15:37:01.195850Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T15:37:01.195850Z digest=sha256:dbf23c31348206bdafd460dfd2fff9a899a248e08b4d6e86f65ad8956be8cf81

Pith citing papers

Observation ee629c89-7625-493c-9b5f-bd6d5deb0103 · inbound

Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence cites this paper.

Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence Towards a Foundation Model for Communication Systems

Reference 62

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arxiv_id, observed 2026-05-19T21:07:46.974268Z

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

source=arxiv_source observed=2026-05-19T21:07:40.256977Z digest=sha256:03cb778dc1b8c996f9bfe728615afab3071445726bee7bf44b692cc69c0393ad