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Paper Citation Record · LEDGER

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms

As of 12 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2607.07286.

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

pith.paper-citation-record.v1
2607.07286 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T15:21:40.298387Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

59 of 59 outbound references displayed

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  • verified fuzzy34
  • unresolved20
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9fe86a5b-7b59-4996-8bc3-e5cd3ea835da · outbound

This paper cites Analogously, the MSPE associated with prediction from X2 isR ∗ 2 =a 2(1−r 2.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Analogously, the MSPE associated with prediction from X2 isR ∗ 2 =a 2(1−r 2

Reference 1

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Observation e5d772a4-e610-40dd-beaa-142fb46af950 · outbound

This paper cites Given thatE[Y] = 0, the relevant variance is defined asσ 2 Y =E[Y 2] = E[(aX1 +bX 2 +U) 2] =a 2 +b 2 + 2abr12 +σ 2 U by just exploiting the fact thatE[X1U] =E[X 2U] = 0.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Given thatE[Y] = 0, the relevant variance is defined asσ 2 Y =E[Y 2] = E[(aX1 +bX 2 +U) 2] =a 2 +b 2 + 2abr12 +σ 2 U by just exploiting the fact thatE[X1U] =E[X 2U] = 0

Reference 2

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From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 3

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Observation aa182124-68ae-4064-a37a-9cffd9766eff · outbound

This paper cites Substituting these quantities into Eq.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Substituting these quantities into Eq

Reference 4

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Observation c4d0f2fa-563f-43e3-8e28-aa3f3e1501dd · outbound

This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 5

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Observation 50192171-2792-45cc-8874-9d4703015264 · outbound

This paper cites 1(c), where the positive values of∆occur in the central region of ther12 domain, while negative values emerge as the source correlation increases in magnitude.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms 1(c), where the positive values of∆occur in the central region of ther12 domain, while negative values emerge as the source correlation increases in magnitude

Reference 6

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Source-reported events for the cited work

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Observation 7a3ad478-3cbc-4b29-9eb8-b768086a38bf · outbound

This paper cites Graphs are maximally expressive for higher-order interactions.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Graphs are maximally expressive for higher-order interactions

Reference 7

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Observation 5163d53c-acfb-495d-bc29-7543685fd06f · outbound

This paper cites Boccaletti, P.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Boccaletti, P

Reference 8

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Observation fa2c2bac-1a32-463d-ad2f-580909c59f9a · outbound

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From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 9

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Observation cc0f96ac-dbd4-4fd5-858c-efbe246a244a · outbound

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From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 10

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Observation d02c6529-a0f3-41eb-89d7-8decfa5d0701 · outbound

This paper cites Stramaglia, T.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Stramaglia, T

Reference 11

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Observation a5b590ad-abbf-4d42-8ecc-3b397e0bf4d2 · outbound

This paper cites Nonnegative Decomposition of Multivariate Information.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Nonnegative Decomposition of Multivariate Information

Reference 12

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Observation 659aafba-3045-466e-8de6-02f0a4ada95d · outbound

This paper cites Stramaglia, L.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Stramaglia, L

Reference 13

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Observation 4b62eed3-df9d-4534-8d62-321c8f452ff3 · outbound

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From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 14

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5261d0d9-8056-466c-8cde-3ef1a6ed5c2d · outbound

This paper cites Sparacino, G.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Sparacino, G

Reference 15

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Observation 80803ad2-5ab6-468a-b1fc-bbb48edec315 · outbound

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From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 16

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Observation b8962044-0f6b-47a4-9af5-be67f1bf56c3 · outbound

This paper cites Mijatovic, L.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Mijatovic, L

Reference 17

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Observation e9b06b1e-f2f7-4099-aaa4-ecb60d6dae69 · outbound

This paper cites Marinazzo, S.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Marinazzo, S

Reference 18

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Observation 1a64477a-c22b-40e9-a276-e8f0631b5999 · outbound

This paper cites Antonacci, C.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Antonacci, C

Reference 19

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Observation 6395fce4-2212-4c76-ad99-7d33b75bf480 · outbound

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From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation 12828f06-12d6-4f2b-bacc-f0046cedc7d3 · outbound

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From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 21

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Observation 2f7d2762-15ac-44a2-872b-a568cf47e7a0 · outbound

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From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 22

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Observation 304d8a43-e802-42bb-8287-e1b69abcb1a7 · outbound

This paper cites Malizia, A.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Malizia, A

Reference 23

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Observation af6aa47d-fd55-4863-969e-91f76d27e560 · outbound

This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 24

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Source-reported events for the cited work

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Observation 83f6f6ba-8408-4b08-9a6c-9291e0be2216 · outbound

This paper cites Marinazzo, Physics18, 71 (2025).

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Marinazzo, Physics18, 71 (2025)

Reference 25

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d19e2df9-06fc-4f15-90e3-7772307f2d40 · outbound

This paper cites Robiglio, M.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Robiglio, M

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 88929d44-bfd2-4b65-9c35-ae649ef310c0 · outbound

This paper cites Caprioglio, P.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Caprioglio, P

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 14c9eec7-05ef-499b-b210-1e785b12d459 · outbound

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From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 29

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Observation 7d1a8dfe-5abd-4578-86b9-ddfbb28bd298 · outbound

This paper cites Porta, V.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Porta, V

Reference 30

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Source-reported events for the cited work

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Observation 51457479-7fec-4acd-badd-fbcbfa48ebe1 · outbound

This paper cites Disentangling Interactions and Dependencies in Feature Attribution.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Disentangling Interactions and Dependencies in Feature Attribution

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cf1b5cb7-d476-4cbb-b42b-e8d6991fdc9c · outbound

This paper cites McGill, Transactions of the IRE Professional Group on Information Theory4, 93 (1954).

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms McGill, Transactions of the IRE Professional Group on Information Theory4, 93 (1954)

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a81966fd-cf86-4d8a-96a8-6cd35587eb09 · outbound

This paper cites Hastie, R.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Hastie, R

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 062a6c97-0343-47fb-bf53-8172f2955436 · outbound

This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-07-09T15:26:18.729756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:56076037c20e7c79827cff605e02a2aa84c1301f7f8e5d2ccac9d1a2a1fe08cf

Observation 9348c83e-a17d-4637-94c4-996cafa89823 · outbound

This paper cites Timme, W.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Timme, W

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.753737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:7fc02b962f307637cb179fcc525a4524f1f5b13ac9949aaec96a8a286de639bf

Observation c0452cc1-7a55-4473-bae4-947be2d2515c · outbound

This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-07-09T15:26:18.779295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:19f0835f84f61c88432a1165c3aba37bbf9ef328eb91ea12924b7d3830db45fc

Observation 724a9fa1-8472-44f6-99da-901bdc9cfb47 · outbound

This paper cites Lütkepohl,Introduction to multiple time series anal- ysis(Springer Science & Business Media, 2013).

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Lütkepohl,Introduction to multiple time series anal- ysis(Springer Science & Business Media, 2013)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.715575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:3ca61e9dbfc7256ed7aa650a2f712cf93da2b0bf9ca8dd64f8613f5aa1754439

Observation 2b4b2649-5073-4a82-9a36-1bf63d8d9198 · outbound

This paper cites Theiler, S.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Theiler, S

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.704461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:eb9716c0ac34aeb91ddc75ea4f31085f696a4078a042abcfba3d485c9579b5e3

Observation 1f4f903e-9def-4deb-801e-9d9805a72ef9 · outbound

This paper cites Palus, Physics Letters A235, 341 (1997).

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Palus, Physics Letters A235, 341 (1997)

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.758522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:33480f97bf7c65425e588620ad12dc4fa31012335179e739b97b8e1376c76d64

Observation 4ac7a136-948d-4af6-bc58-ffe717f6905e · outbound

This paper cites Kilian and H.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Kilian and H

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.767162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:ec1c615b97d64c7ea6a30c1c7184edda54e3ac406883756fe1e4703b14cbdc78

Observation cd3f7413-0e86-4195-9a57-1fa584dbec27 · outbound

This paper cites Teräsvirta, D.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Teräsvirta, D

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.746818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:4e7a8a224b4527e8163f08249ad5de894fbdfd25931f56a0ae066d499286b5f6

Observation eed2dbd0-3c71-4b0e-b2a3-207a6f2d960e · outbound

This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-07-09T15:26:18.751441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:0987c582ded8cde06bae7c3aea617481325da0dbedea62497b2918ab8775218d

Observation d85cfcf1-e419-4054-a2f4-6cd6a1720c3e · outbound

This paper cites Silini, G.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Silini, G

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.731850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:fe224a43baa7e91caf902eaa657d6f43ae74f2ce05de917715866ee57182faf9

Observation ab921d77-0020-484f-b468-2abeca3ea244 · outbound

This paper cites Schalk, D.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Schalk, D

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.760469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:5a436f29acfaf7b0cc34a33fe7089c01003edfaeb5fe96a203262917ce241d29

Observation 68681c69-8871-4b83-92fe-dce4c8ca2bf4 · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals

Reference 45

Resolution
verified exact
doi, observed 2026-07-09T15:26:18.431361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:4c6c1338bcdd3917dbdad2f7751f442bcae0a15e8ac8f25c2a91bf7052d01fdc

Observation 37f76e13-5a28-4d35-a704-b159935792fd · outbound

This paper cites Delorme and S.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Delorme and S

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.741592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:f9f70d3c3c5655c8cb61b3dbd7851a8787c35f61a2ae7f2e270df2a75e5551bc

Observation 34507694-ed80-4ec4-a4ab-acbf08591245 · outbound

This paper cites Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-09T15:26:18.509240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:902ff72174cc0af39c9d7d11d8e0df6eaca21b5fb7707d2a7c5623dcb105e8a8

Observation f376722e-4098-4272-bc09-e46564ad5a86 · outbound

This paper cites Mazziottaet al., Philosophical Transactions of the Royal Society of London.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Mazziottaet al., Philosophical Transactions of the Royal Society of London

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.708840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:5ccd2d539a53ae998fac65f229d13a25e47ebf12bb28e4c94ca3e87bb93df3c5

Observation a0252695-1de3-4662-8af6-4ffdd2b2ef69 · outbound

This paper cites Pirovanoet al., IEEE Transactions on Neural Systems and Rehabilitation Engineering31, 4549 (2023).

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Pirovanoet al., IEEE Transactions on Neural Systems and Rehabilitation Engineering31, 4549 (2023)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.724644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:4a0dc5a648f912c248d8f6a9c0b2c0a8bcda4bb4acb8ed79cd3b45d33c638b58

Observation 8a253c78-5b94-4b6d-a8c1-31971c962b34 · outbound

This paper cites Grefkes, S.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Grefkes, S

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.773118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:d75e2324a7f85c9d0b76ac23b4a6ae8c3e123fab4e6f8821032b8b4df171b51e

Observation 766675d0-5962-4452-8d5f-f9d409eab34b · outbound

This paper cites Van de Steen, L.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Van de Steen, L

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.757032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:5df76edc86894dee2e30a72adfa6d611fb3a6a5c4357671f21fca90884a595a0

Observation 0937966b-0142-4383-92a2-140dd235c95c · outbound

This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-07-09T15:26:18.739540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:934fdf66dd06d192ef9f5658ad5a0a55169ca87f9ca55b17fc8c80a6a3a60e87

Observation 0d72e466-b02f-4984-a4be-c92f27f1c983 · outbound

This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-07-09T15:26:18.726238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:0fde3361443703662155208f18599c377a35dcd0bb5c5ed626b867917ccb9652

Observation ac9e84d0-174f-4e99-ad2f-26b86c3ac073 · outbound

This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-07-09T15:26:18.769410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:7012506d834f4f2f23d57727972bcb1d6fe6bb1316f7b3aec4febf052e5b235a

Observation a4c72d1f-e449-4678-ad41-9a6df5991898 · outbound

This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-07-09T15:26:18.679580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:95cf75acfcc7ddd29400229211ca4e16f21cf7be9f77b8efff7bb80db141124e

Observation fa3bfbc7-6c72-4c6a-995f-e3a21e20142a · outbound

This paper cites an unresolved cited work.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-07-09T15:26:18.745155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:09340e9c99771cd717bea323baa1b29ae47070e6c931f3fa7ee525f7a4b9140d

Observation 45f4efc5-cb91-4f00-9369-a893d12528ca · outbound

This paper cites (A.7) Thus, σ2 Y =c 2(1 +r 2.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms (A.7) Thus, σ2 Y =c 2(1 +r 2

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.783180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:a7c2fb065abeebbb97843c8e70f92f35f62f9700096b6703a953c26a08d8ba7d

Observation 0f85d5fb-7fc2-4cf1-89e6-0f12daafbc87 · outbound

This paper cites 2 2r 2 12 2r2 12 2 #.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms 2 2r 2 12 2r2 12 2 #

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.727881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:a2fd9403b6f10e0603fc243600ebb5d4b93d21061b2d4f233d3b55930bc202d2

Observation 1991f54c-b838-46ce-b520-a0e6acf94b3e · outbound

This paper cites (A.29) The minimum value of (A.19) is equal to the variance of Zminus the amount of variance explained by its opti- mal additive approximation.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms (A.29) The minimum value of (A.19) is equal to the variance of Zminus the amount of variance explained by its opti- mal additive approximation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:26:18.717850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T15:21:40.298387Z digest=sha256:466155a32234c0bb10f50296172efdb9425680bc2a85561de1beca15fea3f891

Pith citing papers

No inbound Pith citation observations are available.