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Paper Citation Record · LEDGER

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2606.15573.

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

pith.paper-citation-record.v1
2606.15573 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T14:21:41.770064Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

17 of 17 outbound references displayed

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  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92209b4d-80f3-4b9a-9a8c-4cbe53ccd16e · outbound

This paper cites Enabling mobile AI agent in 6G era: Architecture and key technologies,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Enabling mobile AI agent in 6G era: Architecture and key technologies,

Reference 1

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no resolver link, observed 2026-07-13T14:21:41.770064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:159563d63669bb350fe972e81627a64e887f2be7a0ce7eae04c836573082b15e

Observation c7fd61ff-41ca-40f7-99fe-668faa63a5b1 · outbound

This paper cites Towards collaborative edge intelligence: Blockchain-based data valuation and scheduling for improved quality of service,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Towards collaborative edge intelligence: Blockchain-based data valuation and scheduling for improved quality of service,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:2fe6069da703e8fccbeeef23c0f0dceffa518a2287658a97d11aaaa5a4a1b78b

Observation 3e6298e2-bd22-4540-9ed7-5bb294abfffc · outbound

This paper cites The shapley value in machine learning,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks The shapley value in machine learning,

Reference 3

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no resolver link, observed 2026-07-13T14:21:41.770064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:1e3b68c295db1d0bf1d71c350af546c268c743f28d8bfb3dc5cb0e4d6dfcccbe

Observation 413f66be-f41a-486b-90c7-ee3085c5fe2a · outbound

This paper cites Olive: Oblivious federated learning on trusted execution environment against the risk of sparsification,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Olive: Oblivious federated learning on trusted execution environment against the risk of sparsification,

Reference 4

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no resolver link, observed 2026-07-13T14:21:41.770064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:318029771fe42eab0831695a5409b280a0d7fdefc0e4a95c3334e2f560ecd67e

Observation 6b988d1e-0a7e-4751-b3cf-3488de1bde02 · outbound

This paper cites ZKML: An optimizing system for ML inference in zero-knowledge proofs,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks ZKML: An optimizing system for ML inference in zero-knowledge proofs,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:d1f3dd43219ac1fef9c6765cb38476133f565d2e502619f10370986a403e1feb

Observation 22418411-fd38-441c-bf6f-5c4d8a9b8fb2 · outbound

This paper cites The algorithmic foundations of differential privacy,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks The algorithmic foundations of differential privacy,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:80c07b2fe70657c45ff20defb86fd972ba5c21887547897723bd3550e521fa0f

Observation a8b4498a-42e7-41fe-a9f3-1b6034eaf3a4 · outbound

This paper cites Towards the fairness of traffic policer,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Towards the fairness of traffic policer,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:ad5d6fe6a319de8707c7e086df2479f5319d1e865c4947057ad626ee60545f85

Observation 26f34742-6ba5-4160-b843-e2636c60b7ba · outbound

This paper cites Microsoft COCO: Common objects in context,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Microsoft COCO: Common objects in context,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:de322268cfaaf48753bd4328c94c295b0501157106da0554805497cc9340d707

Observation c4d447b8-6ce1-4c98-bed1-d157958ca40d · outbound

This paper cites Multimodal Remote Inference.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Multimodal Remote Inference

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:6ec75d87d1bdb0fa639bf59d36e173086a667257d6b43f887392bdabfb7d0616

Observation 17091bb6-67c7-41e0-baf9-5bd8d724080e · outbound

This paper cites Fairness in serving large language models,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Fairness in serving large language models,

Reference 10

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no resolver link, observed 2026-07-13T14:21:41.770064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:5529b1c11d5e897c40d5e1880a91392ba6391c36457caa97572d0e45b5a7c86b

Observation a6a2cb81-42fb-415c-96a6-b37d3230b3cf · outbound

This paper cites Enhancing federated domain adaptation with multi-domain prototype-based federated fine-tuning,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Enhancing federated domain adaptation with multi-domain prototype-based federated fine-tuning,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:aa4af5d49157707d7e859ce8fc28f610913e1d05dada7286b1617fde302c16c9

Observation 46c547be-ee49-4b98-8d9e-2295747eacc7 · outbound

This paper cites Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:78a431ffded16ad4159382ab44903e73b7c8ecc9fe3ca8d68ce95c1757e50517

Observation ccf0aee0-efc8-43b5-9eb1-bb544c9a252a · outbound

This paper cites Learning transferable visual models from natural language supervision,.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Learning transferable visual models from natural language supervision,

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:06538f6e28a5f1a27f25dbca2cc860db3646bdaf2f96ff9df7f665948a9535bd

Observation 76d7c845-5096-4785-8c56-0cdc068a01fe · outbound

This paper cites , I}, letθ i denote thei-th embedding vector, clipped byC.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks , I}, letθ i denote thei-th embedding vector, clipped byC

Reference 14

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no resolver link, observed 2026-07-13T14:21:41.770064Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:76d3500eae4ab2d1b25a2cd93397742cedc477cf412c0c80228ad1edbd315027

Observation 1d5b0d7b-eae5-4552-901b-cdc208b6f4b8 · outbound

This paper cites Across 200 rounds of reconstruction attacks [12], the benchmark Fig.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Across 200 rounds of reconstruction attacks [12], the benchmark Fig

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:c6f30dae21e5d3bbe82bce23188b139f640a10fed468196ec7f8e041da39a2cd

Observation 8f5dbd9e-922a-4c59-a3a7-74f1d8fb4341 · outbound

This paper cites S.2 to illustrate the severe data heterogeneity in decentralized settings.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks S.2 to illustrate the severe data heterogeneity in decentralized settings

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:2700ab05e6dbe1d5bf4507daa9acd2f4c56bd35ae06f55726c79cc18e2ea2c8d

Observation 5485368d-de5f-4a00-8803-972d2ed273bf · outbound

This paper cites Bucket sizing and dynamic adjustment The bucket sizeB n is determined by both the purchased service tier and the agent’s data contribution level.

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks Bucket sizing and dynamic adjustment The bucket sizeB n is determined by both the purchased service tier and the agent’s data contribution level

Reference 17

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no resolver link, observed 2026-07-13T14:21:41.770064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:21:41.770064Z digest=sha256:8eac8672b378c5e23330c0fb85ecfe00968704295e65c128d2d40cd5cdbe1f4a

Pith citing papers

No inbound Pith citation observations are available.