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Paper Citation Record · LEDGER

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2502.00945.

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pith.paper-citation-record.v1
2502.00945 v1

Coverage vector

measured 38 of 38 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 5ce4fc19-e78c-421a-99ab-de284b7a7589 · outbound

This paper cites Network neuroscience,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Network neuroscience,

Reference 1

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Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Unresolved cited work

Reference 2

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This paper cites The new field of network physiology: building the human physiolome,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks The new field of network physiology: building the human physiolome,

Reference 3

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This paper cites Elec- trophysiological brain connectivity: theory and imple- mentation,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Elec- trophysiological brain connectivity: theory and imple- mentation,

Reference 4

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This paper cites Cardiovascular and cardiorespiratory coupling analyses: a review,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Cardiovascular and cardiorespiratory coupling analyses: a review,

Reference 5

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Observation 3669bc48-b8d0-48b6-b2b4-797651134a98 · outbound

This paper cites Wiener–granger causality in net- work physiology with applications to cardiovascular con- trol and neuroscience,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Wiener–granger causality in net- work physiology with applications to cardiovascular con- trol and neuroscience,

Reference 6

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Observation 3b11269f-f9b3-4e86-8fb0-06f308ffaee8 · outbound

This paper cites Unifying pairwise interactions in complex dynamics,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Unifying pairwise interactions in complex dynamics,

Reference 7

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Observation f8890686-3c17-435d-a9b7-4871eb46dbe9 · outbound

This paper cites Graph theory methods: applications in brain networks,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Graph theory methods: applications in brain networks,

Reference 8

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This paper cites Practical measures of integrated information for time-series data,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Practical measures of integrated information for time-series data,

Reference 9

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Observation d2ae4d65-9333-40b0-b586-5c7e1545f4a6 · outbound

This paper cites Unified frame- work for information integration based on information geometry,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Unified frame- work for information integration based on information geometry,

Reference 10

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Observation 5c065b4c-403b-4425-876c-b1fe5e650f34 · outbound

This paper cites Dynamics on higher- order networks: A review,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Dynamics on higher- order networks: A review,

Reference 11

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This paper cites Mea- suring integrated information: Comparison of candidate measures in theory and simulation,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Mea- suring integrated information: Comparison of candidate measures in theory and simulation,

Reference 12

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This paper cites Rec- onciling emergences: An information-theoretic approach to identify causal emergence in multivariate data,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Rec- onciling emergences: An information-theoretic approach to identify causal emergence in multivariate data,

Reference 13

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Observation dd0cfc09-f707-4b4b-983d-a055603b0d4a · outbound

This paper cites Syn- ergy, redundancy, and multivariate information mea- sures: an experimentalist’s perspective,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Syn- ergy, redundancy, and multivariate information mea- sures: an experimentalist’s perspective,

Reference 14

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Observation fe41234f-1430-43e2-ba5f-7ad0903b3d38 · outbound

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Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Nonnegative Decomposition of Multivariate Information

Reference 15

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Observation 4e6ae9c2-1876-48ac-a869-277802539f66 · outbound

This paper cites Predictability, complexity, and learning,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Predictability, complexity, and learning,

Reference 16

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Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Informa- tion decomposition in multivariate systems: definitions, implementation and application to cardiovascular net- works,

Reference 17

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Observation 89d20ce5-a2cc-436f-971c-6f91582378a3 · outbound

This paper cites Assessing high-order links in cardiovascular and respiratory net- works via static and dynamic information measures,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Assessing high-order links in cardiovascular and respiratory net- works via static and dynamic information measures,

Reference 18

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Observation 70040386-86f8-4e0e-9123-1a0b076a3856 · outbound

This paper cites Basic cardiovas- cular variability signals: mutual directed interactions ex- plored in the information domain,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Basic cardiovas- cular variability signals: mutual directed interactions ex- plored in the information domain,

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This paper cites Cate- gorizing the role of respiration in cardiovascular and cere- brovascular variability interactions,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Cate- gorizing the role of respiration in cardiovascular and cere- brovascular variability interactions,

Reference 20

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Observation c9f1056b-bf04-49be-b6f2-375f0254e37c · outbound

This paper cites Local measures of information storage in complex distributed computation,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Local measures of information storage in complex distributed computation,

Reference 21

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This paper cites Exploration of synergistic and redundant information sharing in static and dynamical gaussian sys- tems,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Exploration of synergistic and redundant information sharing in static and dynamical gaussian sys- tems,

Reference 22

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This paper cites Network Representation of Higher-Order Interactions Based on Information Dynamics.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Network Representation of Higher-Order Interactions Based on Information Dynamics

Reference 23

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This paper cites Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysis,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysis,

Reference 24

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This paper cites Investigating dynamic high-order interactions in physiological networks through predictive information decomposition,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Investigating dynamic high-order interactions in physiological networks through predictive information decomposition,

Reference 25

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This paper cites Neural influences on cardiovascular vari- ability: possibilities and pitfalls,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Neural influences on cardiovascular vari- ability: possibilities and pitfalls,

Reference 26

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Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Estimating the dimension of a model,

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This paper cites Univariate and multivariate conditional entropy mea- sures for the characterization of short-term cardiovascu- lar complexity under physiological stress,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Univariate and multivariate conditional entropy mea- sures for the characterization of short-term cardiovascu- lar complexity under physiological stress,

Reference 28

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Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Blood pressure variability: clinical relevance and application,

Reference 29

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Observation 41ad5ed6-29e9-495a-a11c-1f2142f6682d · outbound

This paper cites Mechanisms of causal interaction between short-term rr interval and systolic ar- terial pressure oscillations during orthostatic challenge,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Mechanisms of causal interaction between short-term rr interval and systolic ar- terial pressure oscillations during orthostatic challenge,

Reference 30

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Observation 4ee9688d-ca9d-4989-815a-06d9b6e598d5 · outbound

This paper cites Quantifying net synergy/redundancy of sponta- neous variability regulation via predictability and trans- fer entropy decomposition frameworks,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Quantifying net synergy/redundancy of sponta- neous variability regulation via predictability and trans- fer entropy decomposition frameworks,

Reference 31

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Observation b443b57a-d391-4408-b61d-cbcb2d48fa3a · outbound

This paper cites Assessing the evolution of redun- dancy/synergy of spontaneous variability regulation with 11 age,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Assessing the evolution of redun- dancy/synergy of spontaneous variability regulation with 11 age,

Reference 32

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Observation 494a491a-7e4e-497c-a666-ba3aed153acc · outbound

This paper cites Towards under- standing the complexity of cardiovascular oscillations: Insights from information theory,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Towards under- standing the complexity of cardiovascular oscillations: Insights from information theory,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:14:27.396739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T17:14:27.254724Z digest=sha256:d79b040ab6813ac198f67ccfaffadb8b60851630837b3b5910c7d33094ea899b

Observation ce76f38f-96f8-4ed0-af7a-ba946a8873a4 · outbound

This paper cites Paced breathing increases the redundancy of cardiorespiratory control in healthy individuals and chronic heart failure patients,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Paced breathing increases the redundancy of cardiorespiratory control in healthy individuals and chronic heart failure patients,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:14:27.383440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T17:14:27.258767Z digest=sha256:d29adb4e002b7c12db23af7e4cc8c825c783808f94e2e202a8346e315822fb47

Observation 0d25144f-5b83-4827-b78d-ab845f395a91 · outbound

This paper cites Information decom- position in the frequency domain: A new framework to study cardiovascular and cardiorespiratory oscillations,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Information decom- position in the frequency domain: A new framework to study cardiovascular and cardiorespiratory oscillations,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:14:27.371308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T17:14:27.262464Z digest=sha256:d5b583c602a9c3dfed3f2c7f19c5e8473d2343559d96c68c5dd8c9909efc76ca

Observation c85bbd97-6b99-49e4-9b6a-133ee34664d1 · outbound

This paper cites Transfer function analysis of the circulation: unique insights into cardiovascular regula- tion,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Transfer function analysis of the circulation: unique insights into cardiovascular regula- tion,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:14:27.359052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T17:14:27.266252Z digest=sha256:32f213fc0b0de7647dc85dd4c8ccbcdde4802db88e9979d902e21a571f7d0d21

Observation e30cfffc-2f09-4111-bcbd-65d09dc5cd3d · outbound

This paper cites Respiratory sinus arrhyth- mia in humans: how breathing pattern modulates heart rate,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Respiratory sinus arrhyth- mia in humans: how breathing pattern modulates heart rate,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:14:27.346768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T17:14:27.270781Z digest=sha256:100ee4130e593e3ffd66588a745fa45562bdf8d2bc2a7a6c9621ce2fbb031b38

Observation ed8bb2db-f0f4-475b-89f7-4adda0b74222 · outbound

This paper cites A new framework for the time-and frequency-domain assessment of high-order interactions in networks of random processes,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks A new framework for the time-and frequency-domain assessment of high-order interactions in networks of random processes,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:14:27.334001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T17:14:27.274560Z digest=sha256:57fe90c4f5c6bf3feb874e6caa7938f34d4a7f95c77999a84266bee9f5571bea

Pith citing papers

No inbound Pith citation observations are available.