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Paper Citation Record · LEDGER

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis

As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.11558.

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

pith.paper-citation-record.v1
2607.11558 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T04:47:02.598058Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

27 of 27 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab33572e-3060-4820-91e9-a5dba6470ce5 · outbound

This paper cites and PENSKY, M.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and PENSKY, M

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 98570fee-b757-4052-9762-52b94e1b074b · outbound

This paper cites and HOCHBERG, Y.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and HOCHBERG, Y

Reference 2

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Observation bd543255-42e2-45b6-bed4-873234b623dc · outbound

This paper cites an unresolved cited work.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

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Observation c74264fc-0109-4b06-ad29-def6b9cefb1b · outbound

This paper cites M., KUCUKELBIR, A.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis M., KUCUKELBIR, A

Reference 4

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This paper cites and JACQUES, J.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and JACQUES, J

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 26b0fc54-e1a1-4f36-bf70-369f3f00e345 · outbound

This paper cites an unresolved cited work.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis Unresolved cited work

Reference 6

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verified exact
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Source-reported events for the cited work

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This paper cites S., LUCAS, J., DUNSON, D.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis S., LUCAS, J., DUNSON, D

Reference 7

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verified exact
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Source-reported events for the cited work

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Observation fd4fb5d3-687e-4727-8178-fd8e94d29442 · outbound

This paper cites and SCHRACK, J.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and SCHRACK, J

Reference 8

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Observation 6ee414d7-5892-4e7e-8fef-1866784cbda3 · outbound

This paper cites and GREVEN, S.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and GREVEN, S

Reference 9

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Unavailable: canonical work link unavailable.

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Observation 2ab815c1-630d-42a0-a730-0fb1cdf3be9b · outbound

This paper cites A., HOLMES, C.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis A., HOLMES, C

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites and ARABIE, P.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and ARABIE, P

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7150d1de-3e10-4382-a3df-4a0b1dab7028 · outbound

This paper cites and ZUCKNICK, M.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and ZUCKNICK, M

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cfe6d111-99fb-42f2-9d8d-06479dab067f · outbound

This paper cites and PREDA, C.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and PREDA, C

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 67a32853-4c72-4dd5-a08e-b0af766d6c8e · outbound

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Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and DESMÉE, S

Reference 14

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unresolved
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Unavailable: canonical work link unavailable.

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Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 59acab05-cd76-4142-9e8d-1630591e1e83 · outbound

This paper cites an unresolved cited work.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and LIU, J

Reference 17

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and WAND, M

Reference 18

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e91b1edd-8af0-43d5-bb8c-b5d5a83cbf45 · outbound

This paper cites H., GOLDSMITH, J.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis H., GOLDSMITH, J

Reference 19

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Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis H., RICHARDSON, S

Reference 20

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Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis Unresolved cited work

Reference 21

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verified exact
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and LIQUET, B

Reference 22

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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This paper cites an unresolved cited work.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis Unresolved cited work

Reference 23

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and MENGERSEN, K

Reference 24

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Observation 3ce3567c-a876-4e89-b48d-d4d93417550d · outbound

This paper cites C., HAGER, J., INSHAW, J., FAIRFAX, B.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis C., HAGER, J., INSHAW, J., FAIRFAX, B

Reference 25

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This paper cites and NAKANO, R.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis and NAKANO, R

Reference 26

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Unavailable: canonical work link unavailable.

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This paper cites Double-robust and efficient methods for estimating the causal effects of a binary treatment.

Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis Double-robust and efficient methods for estimating the causal effects of a binary treatment

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.