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Paper Citation Record · LEDGER

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2603.21732.

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

pith.paper-citation-record.v1
2603.21732 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T20:39:48.248057Z

measured 15 of 15 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 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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcb1e8b8-dd0c-4d48-aacd-06c24d287b26 · outbound

This paper cites Optimizing computation offloading in satellite-uav-served 6g iot: A deep learning approach,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Optimizing computation offloading in satellite-uav-served 6g iot: A deep learning approach,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation dfe58d9c-5166-424a-be50-488f153d77fb · outbound

This paper cites Ai-driven digital twins for tasks offloading in 6g uav-aided mec networks,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Ai-driven digital twins for tasks offloading in 6g uav-aided mec networks,

Reference 2

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Observation 0227a1cc-e563-4226-8ef8-de33f8b84cf6 · outbound

This paper cites Deep-reinforcement-learning-based collision avoidance in uav environment,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Deep-reinforcement-learning-based collision avoidance in uav environment,

Reference 3

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source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:1d36f0775c1936994429f24ab9f91344cedca841b1383b81578f9f4b24b48bd1

Observation b4710aef-b296-464a-8f7e-0c4142c9ba49 · outbound

This paper cites Energy and time trade-off optimization for multi-uav enabled data collection of iot devices,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Energy and time trade-off optimization for multi-uav enabled data collection of iot devices,

Reference 4

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source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:e8e6a1ad18d04a4964fe35cadc52a395ba60256f28d66d9ea48443ae124c1606

Observation 8bc38dd5-0a6b-40e2-8d94-9346af3d06ff · outbound

This paper cites Terra: A smart and sensible digital twin framework for robust robot deployment in challenging environments,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Terra: A smart and sensible digital twin framework for robust robot deployment in challenging environments,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:5ddad54cbe74f76bceabd6feb6c0dfae3bfc70d7fdfbd71b425c866706893f6e

Observation e10c2c92-7d89-49d8-9da1-5e04639fd409 · outbound

This paper cites Collaborative ground-space communications via evolutionary multi-objective deep reinforcement learning,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Collaborative ground-space communications via evolutionary multi-objective deep reinforcement learning,

Reference 6

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no resolver link, observed 2026-07-13T20:39:48.248057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:9f3f3a53139049ba434de39192b3599137f890aebd5b81c6b4635606f3cb3fff

Observation 2798fbf2-e4ed-4d93-a33f-9c8be5c8cb64 · outbound

This paper cites Large language model (llm)-enabled graphs in dynamic networking,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Large language model (llm)-enabled graphs in dynamic networking,

Reference 7

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source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:e162d90a79750cfbcb6cff7b061ba366a63d427618d78366be43937aa2f0689f

Observation 518b97c6-6e10-4334-aaed-39223ff87307 · outbound

This paper cites Uav tra- jectory and beamforming optimization for integrated periodic sensing and communication,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Uav tra- jectory and beamforming optimization for integrated periodic sensing and communication,

Reference 8

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source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:502a94210f70f089affadf91f343c137a2b069b491d14df2beca43d03864bb5e

Observation 0cfb6c94-234a-47dd-a0e6-e9882d37debe · outbound

This paper cites Federated learning in the sky: Aerial-ground air quality sensing framework with uav swarms,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Federated learning in the sky: Aerial-ground air quality sensing framework with uav swarms,

Reference 9

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source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:1c3c3ead6a231ca192d1c8ade3d6685dea415f75a21e2f86595bb206b240410a

Observation eb38f806-deb2-4a29-97e2-a5c22a5362b7 · outbound

This paper cites Maddpg algorithm for coordinated welding of multiple robots,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Maddpg algorithm for coordinated welding of multiple robots,

Reference 10

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source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:0bfa357df38e4c648fa0144b1ef5e9b7cc3c6717ba1474b97d4fd687a7d7daab

Observation c8fbb771-4260-48f0-b06e-a5340ff66307 · outbound

This paper cites Label-aware aggregation for improved federated learning,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Label-aware aggregation for improved federated learning,

Reference 11

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source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:2040353992570f84241937c52d6c19f6b803c7b78d1a57b13548be49da7c0e35

Observation dfcadc90-5a2a-4340-b664-e6af5e6ef9e2 · outbound

This paper cites High-quality model aggregation for blockchain-based federated learning via reputation-motivated task participation,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective High-quality model aggregation for blockchain-based federated learning via reputation-motivated task participation,

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:2da534fdea8351d6a5849b9e052667b4104f2a86f6dd861be70ee9b7e51e8c82

Observation fd1625a3-5f49-468b-8bd2-b186c51af120 · outbound

This paper cites Dexterity assessment for wrist joints of surgical robots: A statics-based evaluation method,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Dexterity assessment for wrist joints of surgical robots: A statics-based evaluation method,

Reference 13

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source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:82e06a100a2c35cf35fd678a1123d40128aec4e45a22fb957737250b0ab12123

Observation 72bab248-732a-42b1-96f0-ce9a48d3881b · outbound

This paper cites Optimizing system performance for autonomous recovery in ai-native networks using large language models,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Optimizing system performance for autonomous recovery in ai-native networks using large language models,

Reference 14

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source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:09913bbac2e6ecba2bb490e2a48a1e2f9d253306e0a38818627c39c30218582e

Observation 200b4725-1300-418e-bd57-2aaa45b1f4a7 · outbound

This paper cites Resiliomate: A resilient multi-agent task executing framework for enhancing small language models,.

Hyperspectral imaging solutions for brain tissue metabolic and haemodynamic monitoring: an updated perspective Resiliomate: A resilient multi-agent task executing framework for enhancing small language models,

Reference 15

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source=pdf_text observed=2026-07-13T20:39:48.248057Z digest=sha256:bd24aa27388fa54037910dac85b1dc7fe2d86bf484774ce5638fca003173019c

Pith citing papers

No inbound Pith citation observations are available.