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Paper Citation Record · LEDGER

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G

As of 11 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2512.22579.

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

pith.paper-citation-record.v1
2512.22579 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T19:21:51.147059Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T11:11:42.553754Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T19:41:10.632219Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact7
  • verified fuzzy42
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4075c558-0aec-4f0f-bc5e-47ff62e5a0f1 · outbound

This paper cites Sannet: A semantic-aware agentic ai networking framework for multi-agent cross-layer coordination.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Sannet: A semantic-aware agentic ai networking framework for multi-agent cross-layer coordination

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.914240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:67fcfd2028fef59d9d814af91c575b449ebb508e74317546033092093b846f5a

Observation afb9586d-f996-4277-9505-490be94d44d7 · outbound

This paper cites Enhancing immersion and presence in the meta- verse with over-the-air brain-computer interface.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Enhancing immersion and presence in the meta- verse with over-the-air brain-computer interface

Reference 2

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raw_fallback, observed 2026-05-16T19:23:19.822298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:e502b07d87e5fba76771683ddd537c710f243e89454e380c5f1b63cc613f60a6

Observation 2094ca72-74fb-4e54-a71b-7ee6dc0cd833 · outbound

This paper cites From semantic communication to semantic-aware networking: Model, architecture, and open problems.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G From semantic communication to semantic-aware networking: Model, architecture, and open problems

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.824855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:d577cda4b5208d84c145a4d40714f456265e1bb7a0605f2c28b3eb75b54eeea6

Observation edfed5fe-b09a-443f-85c8-11dbce2593c2 · outbound

This paper cites Joint source–channel coding: Fundamentals and recent progress in practical designs.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Joint source–channel coding: Fundamentals and recent progress in practical designs

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.836613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:60a8d01cb25e374ea45ef890aa14b4e8ded9c08a00b6d923497f05d1804eda96

Observation 549d8759-0f75-440f-92fc-9a87d0f31fa2 · outbound

This paper cites Illuminating the dark spaces of healthcare with ambient intelligence.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Illuminating the dark spaces of healthcare with ambient intelligence

Reference 5

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raw_fallback, observed 2026-05-16T19:23:19.849765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:e4228e810b966f9caf53ef8284e1f73fbeb27c1734d235297a28bd95bc9b4ce2

Observation 9806437f-f7cf-48db-9b5d-881af5a364d4 · outbound

This paper cites Towards agentic AI networking in 6G: A generative foundation model-as-agent approach.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Towards agentic AI networking in 6G: A generative foundation model-as-agent approach

Reference 6

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raw_fallback, observed 2026-05-16T19:23:19.847580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:05d50faadfc7b5ce97e28c6b5523d287f919b28aa520294b4d91e799d72b90f8

Observation c2617575-1baa-4c7e-a3a7-4d75efa6eea2 · outbound

This paper cites Toward self- learning edge intelligence in 6G.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Toward self- learning edge intelligence in 6G

Reference 7

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raw_fallback, observed 2026-05-16T19:23:19.911978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:7c34fd80aa71ad177aa1dfab4fff2b7ddd004e93d652764faabef5a46f9ce0b7

Observation b3866b65-5856-4b1d-97e7-ad8f2ee877fb · outbound

This paper cites 6G network AI architecture for everyone-centric customized services.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G 6G network AI architecture for everyone-centric customized services

Reference 8

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raw_fallback, observed 2026-05-16T19:23:19.871199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:d9056581360c01c88323159627ad57edd5d3f8a2893ed624c098de897aff4a9b

Observation 986dce4f-100d-4f2c-bd8b-6018362abe20 · outbound

This paper cites Position: Levels of AGI for operationalizing progress on the path to AGI.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Position: Levels of AGI for operationalizing progress on the path to AGI

Reference 9

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raw_fallback, observed 2026-05-16T19:23:19.863322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:120e4417531d68290cdbea9bf5975a508739baf2b3ade2ede62263760b4cd34d

Observation 84f106b2-dbbb-4abd-b2a0-64667f51af5a · outbound

This paper cites Practices for governing agentic ai systems.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Practices for governing agentic ai systems

Reference 10

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raw_fallback, observed 2026-05-16T19:23:19.881476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:fc0bd079120d178224dea2320a7c7294dbc3a6d52b80431566f47b435195219e

Observation f5fb3972-8539-4f79-9013-0c4f198c65ed · outbound

This paper cites Cross-layer optimization for statistical qos provision in C-RAN with finite-length coding.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Cross-layer optimization for statistical qos provision in C-RAN with finite-length coding

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.900880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:12b88bae3dd988edd32b6e2cf0f9b53d18ef6bac9319c727b49689742a14e8a0

Observation df460a80-19ad-4e27-b8de-b53799b11da5 · outbound

This paper cites Cross- layer optimization: Joint user scheduling and beamforming design with qos support in joint transmission networks.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Cross- layer optimization: Joint user scheduling and beamforming design with qos support in joint transmission networks

Reference 12

Resolution
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raw_fallback, observed 2026-05-16T19:23:19.861178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:984a59ce26926cc1d1496d766b9101be48f3bf06e086aa74ca11ef1df42d31c4

Observation 6f4536bb-c873-4ea3-ac99-d34e6c406ff4 · outbound

This paper cites Proximal policy optimization for cross-layer joint design of miso beamforming and ris phase con- figuration.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Proximal policy optimization for cross-layer joint design of miso beamforming and ris phase con- figuration

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.834084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:f730d9f20a9e57893c39ef7f6c3b3c7bfe7dc6712b5e7caf783cf5ad30ee5614

Observation c3fb4716-73c2-4366-b00d-754f00dfc832 · outbound

This paper cites On-demand optimization method for cross-layer topology in multi-task vleo and mega-leo heterogeneous satellite networks.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G On-demand optimization method for cross-layer topology in multi-task vleo and mega-leo heterogeneous satellite networks

Reference 14

Resolution
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raw_fallback, observed 2026-05-16T19:23:19.905443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:1ecae89f000a81de958a208d8352f307c3fe4845b4d273cfba4815a82b56596c

Observation 621778de-de58-4e7e-8804-047840b41f78 · outbound

This paper cites AI/ML for beyond 5G systems: Concepts, technology enablers & solutions.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G AI/ML for beyond 5G systems: Concepts, technology enablers & solutions

Reference 15

Resolution
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raw_fallback, observed 2026-05-16T19:23:19.907674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:c366e8b81e5cc1977f4172df8da28fbc07520435eb0b82fb1ae584cdbac44b73

Observation 328f181a-1ce9-45c1-a36f-dcd14a2f57ec · outbound

This paper cites A review of the current usage of ai/ml for radio access network (ran).

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G A review of the current usage of ai/ml for radio access network (ran)

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:a2c04e242734bb395a763603d431f3a8f81595a56c1f3249a3656448744b5ad9

Observation 60448968-3a5e-4929-bbd2-925695452fb5 · outbound

This paper cites SANSee: A physical-layer semantic-aware network- ing framework for distributed wireless sensing.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G SANSee: A physical-layer semantic-aware network- ing framework for distributed wireless sensing

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:7573702252d32826c3789a0047b156fd6516db70820b72ee98e7c3daf3998bd4

Observation 22cfd26c-7eaf-4d1b-a617-a0dbb4e9fe2f · outbound

This paper cites Optimizing through- put performance in distributed MIMO Wi-Fi networks using deep reinforcement learning.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Optimizing through- put performance in distributed MIMO Wi-Fi networks using deep reinforcement learning

Reference 18

Resolution
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raw_fallback, observed 2026-05-16T19:23:19.852150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:b5d6e2821efad100425f9addb9ff7bdaecbbb7f848e78ccf2da4c203c4ed1a95

Observation 79fc7993-433f-4cb6-be86-0688035e7e7b · outbound

This paper cites Toward decentral- ized task offloading and resource allocation in user-centric mec.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Toward decentral- ized task offloading and resource allocation in user-centric mec

Reference 19

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raw_fallback, observed 2026-05-16T19:23:19.843403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:4aa257aebb8df967a0a200214c9c848953884f1c753824d054fa4c504e0e6dac

Observation 6f64a159-864e-4716-b975-ba74546151d0 · outbound

This paper cites Towards an AI/ML-driven SMO framework in O-RAN: Scenar- ios, solutions, and challenges.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Towards an AI/ML-driven SMO framework in O-RAN: Scenar- ios, solutions, and challenges

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.827006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:cf50817837936e5186813ac725a60960770304babd95fbd3072584a58d588497

Observation 02f64985-be38-4473-917f-46a1c1eaadd1 · outbound

This paper cites 5G evolution: A view on 5G cellular technology beyond 3GPP release 15.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G 5G evolution: A view on 5G cellular technology beyond 3GPP release 15

Reference 21

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raw_fallback, observed 2026-05-16T19:23:19.887692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:6325b3e76a75c535a79ffe17e113ce6c36a0d2f2c350b7f4b613a3ba1171c243

Observation 93b3aa31-b926-49b1-8fe1-82d191bc4aea · outbound

This paper cites An overview of 5G advanced evolution in 3GPP release 18.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G An overview of 5G advanced evolution in 3GPP release 18

Reference 22

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raw_fallback, observed 2026-05-16T19:23:19.889775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:f4cef5929c90f07f7aa48c45385303c6c5fbe42c7c6f1e73e9afe38d0eadd49b

Observation 08763efa-4a51-4838-afa9-1a6a45424d7e · outbound

This paper cites The bridge toward 6G: 5G-advanced evolution in 3GPP release 19.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G The bridge toward 6G: 5G-advanced evolution in 3GPP release 19

Reference 23

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raw_fallback, observed 2026-05-16T19:23:19.854719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:9abe65a6912926da0d2f6262b77c7ebf29a22983b77b45575868ef931c376d36

Observation 146cb5ed-c3b1-4acc-bb51-4f710d1c5c05 · outbound

This paper cites Requirements of semantic-aware networking for future networks.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Requirements of semantic-aware networking for future networks

Reference 24

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raw_fallback, observed 2026-05-16T19:23:19.916505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:b39d8f7cfa75776f699536a8bef027e872f3e4a509e937360d348ede66599643

Observation c9e9b041-8750-4b90-9d15-b03ca0191394 · outbound

This paper cites An introduction to semantic communication and semantic- aware networking standardization for 6G.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G An introduction to semantic communication and semantic- aware networking standardization for 6G

Reference 25

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raw_fallback, observed 2026-05-16T19:23:19.865883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:2ba103621c9b6b2b26d491819a3eddd5c888e6308da78eb4e3d780d5ae741c04

Observation 7ceae344-4577-49a1-a6e7-f3bcae840ca7 · outbound

This paper cites The roadmap to 6G: AI empowered wireless networks.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G The roadmap to 6G: AI empowered wireless networks

Reference 26

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raw_fallback, observed 2026-05-16T19:23:19.876706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:d7d6a68b7bcde0021285cc4fc009d032f9a3b1649239b735f767caa25b6f197f

Observation 3ca12d36-70ae-4f7c-8ad0-8af4af8ed78b · outbound

This paper cites AI agents vs. agentic AI: A conceptual taxonomy, applications and challenges.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G AI agents vs. agentic AI: A conceptual taxonomy, applications and challenges

Reference 27

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raw_fallback, observed 2026-05-16T19:23:19.845542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:bc422fc65eb8137d30c97d3f454e46d3453a8c0a4082e7f3fba5ff3c580251ff

Observation 4ebbb40a-abbe-4dad-82ec-ee1939d7bb63 · outbound

This paper cites Agent AI: Surveying the Horizons of Multimodal Interaction.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Agent AI: Surveying the Horizons of Multimodal Interaction

Reference 28

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arxiv_id, observed 2026-05-18T14:26:00.102692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:598045563ebbffe0e8963a53cb41f7590b7268bc8223fbae727a23b0158293c8

Observation 443f83e9-1954-4780-982c-f623bd439e28 · outbound

This paper cites Mobile-agent-v2: Mobile device operation assistant with effective navigation via multi-agent collaboration.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Mobile-agent-v2: Mobile device operation assistant with effective navigation via multi-agent collaboration

Reference 29

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arxiv_id, observed 2026-05-16T19:23:19.707922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:0ec3337c9ce8ec7ab3a51cd02ad2642861999563f5ce62878930a1fa2716164b

Observation d0700b26-47a2-4fdd-8870-8e43c190f1c1 · outbound

This paper cites Rethinking the bounds of LLM reasoning: Are multi-agent discussions the key?.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Rethinking the bounds of LLM reasoning: Are multi-agent discussions the key?

Reference 30

Resolution
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raw_fallback, observed 2026-05-16T19:23:19.829209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:47182634bb81c3ea1b5d8cd1099d20fe8d9dae2617d39e6d73b7efbfd3eafef7

Observation 6adf9281-4ca0-4f43-bf18-7378c89332c6 · outbound

This paper cites Self-refine: iterative refinement with self-feedback.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Self-refine: iterative refinement with self-feedback

Reference 31

Resolution
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raw_fallback, observed 2026-05-16T19:23:19.879370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:c686fc99790dd43f809e63f164876063d77eed5f5537f9710baba176245dd489

Observation b2e1f9b0-0753-4a1e-80e9-aa77ddfde37c · outbound

This paper cites Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:23:19.704354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:67c769e6c7a5ed7b3195b975d94fbdcfec02348a370089e4e6ebeed6fe0d5544

Observation 8f16f154-00da-4599-86b9-4d9ab187a59c · outbound

This paper cites MoA is All You Need: Building LLM Research Team using Mixture of Agents.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G MoA is All You Need: Building LLM Research Team using Mixture of Agents

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:23:19.692503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:08771d424e92434a71649f15cc521b91cc23b9d0b13b814fc89b329c92bf7e5c

Observation ec27cec1-a78d-49a8-ac97-433efa6b8f9a · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:29:34.516338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:2725d8fe6f7e8dbe5b0a336596d41ebf0a79f93d75193083ae60d9b3c4c9cdd2

Observation e0977864-7757-4867-a14b-9453bf128f81 · outbound

This paper cites Small Language Models are the Future of Agentic AI.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Small Language Models are the Future of Agentic AI

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-16T19:23:19.684037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:bc97fabd288bbf8a3448362a81cdd001147e961015e9d2f8ba2c991a9b76b02c

Observation a6c1c793-ca0a-463e-9934-b11c456ad6c3 · outbound

This paper cites Agentic AI: Au- tonomous intelligence for complex goals—a comprehensive sur- vey.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Agentic AI: Au- tonomous intelligence for complex goals—a comprehensive sur- vey

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.892580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:c039f8ae82e30ef58ae0c38396f8be98418a369b80a1c57a8c0db6d5e9b60b16

Observation cd537541-8dbf-439f-8770-4507f58ee355 · outbound

This paper cites Mitigating gradient bias in multi-objective learning: A provably convergent approach.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Mitigating gradient bias in multi-objective learning: A provably convergent approach

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.868813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:03d1f1b353d6b2a219d8662bf3e9f3322d30db4e82aa052b776d35feaa983375

Observation c48915c8-ce0b-4a98-90cd-6af6da0c7b87 · outbound

This paper cites Three-way trade-off in multi-objective learn- ing: Optimization, generalization and conflict-avoidance.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Three-way trade-off in multi-objective learn- ing: Optimization, generalization and conflict-avoidance

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.883576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:000501019f40d425511b3c2afef6909d416150075a0e1f613d3bc98ab805cb49

Observation 048bcb21-3128-4913-aa71-0b6edcfc2dfa · outbound

This paper cites Rethinking bias-variance trade-off for generalization of neural networks.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Rethinking bias-variance trade-off for generalization of neural networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.898794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:4f622cc1e26c2c544433ef468e2e978192cd4d125c9ea27ea9924e7f17199411

Observation f1f410db-cb63-4195-ab8e-4ca34365607d · outbound

This paper cites Your own mobile network.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Your own mobile network

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.885478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:ea8c99b731c08a9d8d18a7e5c485b3309f2dd340812a4eb85de8174b0c30771a

Observation 24f5dca0-b31f-4c05-91ee-a3ac0233ea23 · outbound

This paper cites Qwen Technical Report.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Qwen Technical Report

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-16T19:23:19.699799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:7d55a5fdabd116c05263f912dba4fec80972395971899707da28af5e6019c064

Observation 59da4e93-dadc-424b-9f19-82d2b62058b2 · outbound

This paper cites OpenManus: An open-source framework for building general AI agents.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G OpenManus: An open-source framework for building general AI agents

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.840978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:b94d16ae634b4f8132557ec6d81e8755c20a64d3266ec4c9c3c2cfc0d7849f1b

Observation 8f2a0559-6a80-41bf-b15e-6b7823cd3f05 · outbound

This paper cites Stein,Inadmissibility of the usual estimator for the mean of a multivariate normal distribution.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Stein,Inadmissibility of the usual estimator for the mean of a multivariate normal distribution

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.838615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:9414d144ceaa6eca31168df7afef35d5cf98e7d5e633f9b5f6fb2ecdec63d756

Observation a9306246-a1cd-4090-882d-3c26178e4544 · outbound

This paper cites Time series forecasting using LSTM and ARIMA.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Time series forecasting using LSTM and ARIMA

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.894732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:02ef7f7e14ca10b17755162820dbbe1fda80b7251621840e8d02a09379d4ca8a

Observation a4a597b5-b56f-4a6b-8d46-ef134c927c4d · outbound

This paper cites N- beats: Neural basis expansion analysis for interpretable time series forecasting.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G N- beats: Neural basis expansion analysis for interpretable time series forecasting

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.859096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:7d60392d90f2c017386425a95de0ed28a0078a9454cddd81295501aea0b7fe7b

Observation a341d052-df34-4dde-8a5f-adeedcb14d7c · outbound

This paper cites A transformer-based framework for multivariate time series representation learning.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G A transformer-based framework for multivariate time series representation learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.896786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:d29d7d0a2adf51555120549e06df2b8362c44f843f5ff3cf7be320b8d0b1e401

Observation 9277dbbd-9509-4ce2-94ef-32208c697b48 · outbound

This paper cites Informer: Beyond efficient transformer for long se- quence time-series forecasting.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Informer: Beyond efficient transformer for long se- quence time-series forecasting

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.856772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:624c4d7d618e956a8096035abf073ce720cfe7337ca59b60f84d68a05b3c2a4c

Observation f0785db2-34cc-4bdf-bc32-c81ee2722fcd · outbound

This paper cites Stability and generalization of stochastic optimization with nonconvex and nonsmooth problems.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Stability and generalization of stochastic optimization with nonconvex and nonsmooth problems

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.873803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:1881499ff3a3034a126464efd6fee7bdc592af81faa785c279990ffcd8ebe6d7

Observation 94c2c19e-778e-49fc-bdfc-fd14505a2d02 · outbound

This paper cites Ping Zhang(Fellow, IEEE) is a professor in the School of Information and Communication Engineering at the Beijing University of Posts and Telecommunications.

SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G Ping Zhang(Fellow, IEEE) is a professor in the School of Information and Communication Engineering at the Beijing University of Posts and Telecommunications

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T19:23:19.831917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T19:21:51.147059Z digest=sha256:6e12038b6180e4c604648d63ba76323a8a2e68be43e74c19e2690b6ccc6e9865

Pith citing papers

Observation 58e18545-2f0e-4840-a138-fe716f63ed64 · inbound

SANEmerg: An Emergent Communication Framework for Semantic-aware Agentic AI Networking cites this paper.

SANEmerg: An Emergent Communication Framework for Semantic-aware Agentic AI Networking SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:41:10.637649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:11:42.553754Z digest=sha256:88c8d5bef003247f708621643a75fcb6e173d8c1fb1618c83344960cea713ddc