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Paper Citation Record · LEDGER

Deep and Probabilistic Models for Gene Regulatory Network Inference

As of 9 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2607.16053.

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

pith.paper-citation-record.v1
2607.16053 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:34:20.220537Z

measured 100 of 100 standing notices

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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

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Source: cited_works

Reference resolution

100 of 300 outbound references displayed

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Outbound references

Observation 224c92d0-39e4-4ef4-b1a8-5f0c092a649d · outbound

This paper cites Biosystems , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Biosystems , volume=

Reference 1

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This paper cites Computers in biology and medicine , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Computers in biology and medicine , volume=

Reference 2

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Observation 5818b523-e66d-4695-9d82-6ce7c8340d99 · outbound

This paper cites Bioinformatics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Bioinformatics , volume=

Reference 3

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This paper cites Bioinformatics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Bioinformatics , volume=

Reference 4

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This paper cites A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks.

Deep and Probabilistic Models for Gene Regulatory Network Inference A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks

Reference 5

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This paper cites Cell , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Cell , volume=

Reference 6

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This paper cites Proceedings of the National Academy of Sciences , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Proceedings of the National Academy of Sciences , volume=

Reference 7

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Observation 69dbaf1a-7b08-408b-9cc0-50c9b5b3df81 · outbound

This paper cites Nature , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Nature , volume=

Reference 8

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Observation 087c96f7-ffb3-470c-bbe9-fbdbc6b1664b · outbound

This paper cites Nature genetics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Nature genetics , volume=

Reference 9

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This paper cites Biochimica et Biophysica Acta (BBA)-Gene Regulatory Mechanisms , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Biochimica et Biophysica Acta (BBA)-Gene Regulatory Mechanisms , volume=

Reference 10

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This paper cites Genome research , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Genome research , volume=

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This paper cites Genome biology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Genome biology , volume=

Reference 12

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This paper cites 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society , pages=.

Deep and Probabilistic Models for Gene Regulatory Network Inference 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society , pages=

Reference 13

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This paper cites BMC bioinformatics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference BMC bioinformatics , volume=

Reference 14

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This paper cites Human heredity , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Human heredity , volume=

Reference 15

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Deep and Probabilistic Models for Gene Regulatory Network Inference Science , volume=

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Deep and Probabilistic Models for Gene Regulatory Network Inference 2006 , publisher=

Reference 17

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Observation f28b9e66-fe47-4f41-b051-1c6b2e1e4ea0 · outbound

This paper cites Edward: A library for probabilistic modeling, inference, and criticism.

Deep and Probabilistic Models for Gene Regulatory Network Inference Edward: A library for probabilistic modeling, inference, and criticism

Reference 18

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Observation 37d625ff-c514-4791-b30b-baf3dee76587 · outbound

This paper cites 2015 2nd International Conference on Electronics and Communication Systems (ICECS) , pages=.

Deep and Probabilistic Models for Gene Regulatory Network Inference 2015 2nd International Conference on Electronics and Communication Systems (ICECS) , pages=

Reference 19

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This paper cites Procedia Computer Science , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Procedia Computer Science , volume=

Reference 20

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Deep and Probabilistic Models for Gene Regulatory Network Inference Proceedings of the 10th international conference on World Wide Web , pages=

Reference 21

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Deep and Probabilistic Models for Gene Regulatory Network Inference Computer , volume=

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Deep and Probabilistic Models for Gene Regulatory Network Inference data Science (Second Edition) , pages=

Reference 23

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Deep and Probabilistic Models for Gene Regulatory Network Inference Heredity , volume=

Reference 24

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Deep and Probabilistic Models for Gene Regulatory Network Inference Annual review of cell and developmental biology , volume=

Reference 25

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Deep and Probabilistic Models for Gene Regulatory Network Inference Current opinion in biotechnology , volume=

Reference 26

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Deep and Probabilistic Models for Gene Regulatory Network Inference Cell , volume=

Reference 27

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Deep and Probabilistic Models for Gene Regulatory Network Inference Bioinformatics , volume=

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Deep and Probabilistic Models for Gene Regulatory Network Inference The Journal of Machine Learning Research , volume=

Reference 29

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This paper cites Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro.

Deep and Probabilistic Models for Gene Regulatory Network Inference Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro

Reference 30

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Deep and Probabilistic Models for Gene Regulatory Network Inference 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) , pages=

Reference 31

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Deep and Probabilistic Models for Gene Regulatory Network Inference elife , volume=

Reference 32

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Deep and Probabilistic Models for Gene Regulatory Network Inference Nature , volume=

Reference 33

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Deep and Probabilistic Models for Gene Regulatory Network Inference Neuron , volume=

Reference 34

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Deep and Probabilistic Models for Gene Regulatory Network Inference Cell reports , volume=

Reference 35

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Deep and Probabilistic Models for Gene Regulatory Network Inference Nucleic acids research , volume=

Reference 36

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Deep and Probabilistic Models for Gene Regulatory Network Inference Nucleic acids research , volume=

Reference 37

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Deep and Probabilistic Models for Gene Regulatory Network Inference Frontiers in Microbiology , volume=

Reference 38

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Deep and Probabilistic Models for Gene Regulatory Network Inference Nature , pages=

Reference 39

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Deep and Probabilistic Models for Gene Regulatory Network Inference Nature communications , volume=

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Deep and Probabilistic Models for Gene Regulatory Network Inference Nucleic acids research , volume=

Reference 41

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Observation 22159c59-b9ed-491c-adbb-6d040cdb93c3 · outbound

This paper cites Artificial intelligence and statistics , pages=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Artificial intelligence and statistics , pages=

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Observation 2c260dec-c5c6-4033-8130-7fa8e18a85a9 · outbound

This paper cites an unresolved cited work.

Deep and Probabilistic Models for Gene Regulatory Network Inference Unresolved cited work

Reference 43

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Observation 1b56b566-eb60-4181-ba37-a6e215eab518 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Proceedings of the National Academy of Sciences , volume=

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Observation 495cd82f-f4a4-4124-a6e6-c0f1680f36b9 · outbound

This paper cites Bioinformatics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Bioinformatics , volume=

Reference 45

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Observation 722710ef-0152-441d-baab-a5266b39b32b · outbound

This paper cites Genome research , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Genome research , volume=

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Observation b30bedc7-f11f-424b-9831-24f63aed1083 · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Proceedings of the national academy of sciences , volume=

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Observation c158b07d-9396-41d5-9b4f-8027c87ff3ab · outbound

This paper cites Bioinformatics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Bioinformatics , volume=

Reference 48

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Observation b359410a-1dab-4af8-90e5-df42c0d7864d · outbound

This paper cites Bioinformatics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Bioinformatics , volume=

Reference 49

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source=arxiv_source observed=2026-08-01T21:34:13.813935Z digest=sha256:5e41a72432f69373e15efbd27635e51f799d7ae74a54ef5deee3722ed889ad25

Observation c01e9948-00a3-4d42-9a25-72b3e90eaf5e · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Proceedings of the National Academy of Sciences , volume=

Reference 50

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source=arxiv_source observed=2026-08-01T21:34:13.937524Z digest=sha256:7f299b1037b94d3fb1277d79f72d7dc54bcc3ea22be97c5ab39c2e0bbf832595

Observation 31a582d5-bdd1-4f1b-af83-b9d2e7827ad8 · outbound

This paper cites PLoS computational biology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference PLoS computational biology , volume=

Reference 51

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Observation 5ce855a0-82c6-4381-914c-3f06d37098ca · outbound

This paper cites Current Opinion in Systems Biology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Current Opinion in Systems Biology , volume=

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source=arxiv_source observed=2026-08-01T21:34:14.164412Z digest=sha256:05c64303b967a1a12879810bd37a60ca6c5f42aa7d4662f64f174cf8b9c9f46c

Observation c2eaa8c0-eb97-4632-b956-c802bc048259 · outbound

This paper cites Genome biology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Genome biology , volume=

Reference 53

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source=arxiv_source observed=2026-08-01T21:34:14.280346Z digest=sha256:f087b9a12f9c6fd853208d23f4489d052fd29446b7d987828ba6525c2075abc6

Observation 4e30fa3a-f008-4ffa-89d5-119154341ae2 · outbound

This paper cites Science , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Science , volume=

Reference 54

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source=arxiv_source observed=2026-08-01T21:34:14.375178Z digest=sha256:98f02bc294703d7104c2d11519d334143226d5eb08131eb40e95d1bc8f301679

Observation 1e904582-d6f2-489a-84c2-c0f38d7738a1 · outbound

This paper cites Nucleic acids research , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Nucleic acids research , volume=

Reference 55

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source=arxiv_source observed=2026-08-01T21:34:14.439746Z digest=sha256:07cefff3a21a789d09db923484fa60403ec668d92286ae0a8c87783e2e924d99

Observation 6362ea8c-ecc3-422b-875c-bc64b8909e34 · outbound

This paper cites Nucleic acids research , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Nucleic acids research , volume=

Reference 56

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source=arxiv_source observed=2026-08-01T21:34:14.505815Z digest=sha256:43d83a41c02d5059cd590c9b074e8daedfd711fb6e3e92315e14bd048dfddfe1

Observation 4d5861c4-c858-4c47-a710-adf12e8ee6d8 · outbound

This paper cites Nucleic Acids Research , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Nucleic Acids Research , volume=

Reference 57

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source=arxiv_source observed=2026-08-01T21:34:14.579083Z digest=sha256:e6519b4a9a29b03fbdb43bdd34cd12bc365d85c3410007865e71a42e3b8bd51c

Observation 2612805f-972d-48d9-afd3-f43c4fbe7ce9 · outbound

This paper cites Bioinformatics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Bioinformatics , volume=

Reference 58

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source=arxiv_source observed=2026-08-01T21:34:14.651971Z digest=sha256:99d252337a8b913414dd623c599e73761ce9e7f2991c8b0e1e2bc5fdbd1a9f20

Observation 21c01ec2-8d02-41aa-8207-65ec18f41492 · outbound

This paper cites Bioinformatics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Bioinformatics , volume=

Reference 59

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source=arxiv_source observed=2026-08-01T21:34:14.732221Z digest=sha256:9d5b2536bec0bf2f5b4c0e566a9295f0e6af14071eabbc0de5f670b1060967e1

Observation 9845939b-f8f6-41d5-89d3-1ff56c4b8ba0 · outbound

This paper cites Cell , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Cell , volume=

Reference 60

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source=arxiv_source observed=2026-08-01T21:34:14.812875Z digest=sha256:58e78cf1b4bb4031e9c4b6738b07707be341cd815e197edea6b3a6c572a53a6f

Observation 22a43196-26cb-4297-afe4-de3851aa0548 · outbound

This paper cites bioRxiv , pages=.

Deep and Probabilistic Models for Gene Regulatory Network Inference bioRxiv , pages=

Reference 61

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source=arxiv_source observed=2026-08-01T21:34:14.973827Z digest=sha256:2b481f601654f77752f17634b4a6762fc313d3b571922a36fcc6baacc754dad6

Observation 1cd419ab-dc58-48f5-aecf-d9f3462636e8 · outbound

This paper cites Frontiers in immunology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Frontiers in immunology , volume=

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source=arxiv_source observed=2026-08-01T21:34:15.139034Z digest=sha256:1b61bf62c27afd0a48e9fa0f2c8fcf58502f3b30d20ce8af86d0ca97b82c07af

Observation ac35a797-1c1a-4b7c-941a-6b92421ffb55 · outbound

This paper cites Immunity , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Immunity , volume=

Reference 63

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source=arxiv_source observed=2026-08-01T21:34:15.218771Z digest=sha256:db45d1e570631dce946fcea5998f666352b55fc35189522ccf944646fa3eff18

Observation 68b9d0ad-840c-4f5f-a8ae-77a079476a83 · outbound

This paper cites Blood, The Journal of the American Society of Hematology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Blood, The Journal of the American Society of Hematology , volume=

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source=arxiv_source observed=2026-08-01T21:34:15.282987Z digest=sha256:ae5cfe31e09b77f75f9897c6ce3f21f433a37ac7817d2c5ef078d4b89b65dd3c

Observation b83d4761-f037-4587-8597-346eb023c4b8 · outbound

This paper cites PLoS One , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference PLoS One , volume=

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source=arxiv_source observed=2026-08-01T21:34:15.366427Z digest=sha256:df8c4d5f1270dedd463c7e3dd05e60bb82b645e55c24411025032e7682486e13

Observation d6e77226-fd1f-4fb0-8e5f-7dab8ac79a27 · outbound

This paper cites Nature communications , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Nature communications , volume=

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source=arxiv_source observed=2026-08-01T21:34:15.497020Z digest=sha256:a4428f2bd0dcffad636475c4e79ce3a964a33ad40c2d86d5841ebdc193412f83

Observation 3173d123-2a94-4386-8222-2fc097a51c2a · outbound

This paper cites Cell Reports , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Cell Reports , volume=

Reference 67

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source=arxiv_source observed=2026-08-01T21:34:15.656025Z digest=sha256:02d441ffb2833becef39d2374b1fa45090b2f0712b4426b2fd6c6546c8c4a76c

Observation facbdb76-8ecc-4a85-a9e5-6957b3a1a843 · outbound

This paper cites Immunity , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Immunity , volume=

Reference 68

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source=arxiv_source observed=2026-08-01T21:34:15.820027Z digest=sha256:580ec73b03738975be6747c06305d937f8794c7346d2a5134e69b9d728657d95

Observation 35422949-6e6d-4c42-a914-445d9f7cfece · outbound

This paper cites Biomolecules & Therapeutics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Biomolecules & Therapeutics , volume=

Reference 69

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source=arxiv_source observed=2026-08-01T21:34:15.995930Z digest=sha256:d989a9b2d76f698519bc7d80de14043a42538100fca186d6c49f44ccdd46a07f

Observation 0ddbba37-54e8-49d1-970e-247bdf528048 · outbound

This paper cites Nature immunology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Nature immunology , volume=

Reference 70

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source=arxiv_source observed=2026-08-01T21:34:16.165298Z digest=sha256:d5175ecf8136cdb63ce815d404a34b1a035113349dedfabdeb792154ce1d3f91

Observation 79298607-6947-435e-ad56-ce866ae0ff27 · outbound

This paper cites Nature immunology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Nature immunology , volume=

Reference 71

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source=arxiv_source observed=2026-08-01T21:34:16.411635Z digest=sha256:f81df968edbfad5d6d4adbc42a98f84f917f3a5f74c66ac8497cfd8726e9da11

Observation 77625772-aa16-4b48-bff1-addeae70c7ba · outbound

This paper cites Immunology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Immunology , volume=

Reference 72

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source=arxiv_source observed=2026-08-01T21:34:16.544093Z digest=sha256:dccff77270ff3c12a0afb0d2cbc3afc1e5e66d140824d60988b93729b7609666

Observation 3e0c8a57-6845-43f8-a8f9-8483795542e7 · outbound

This paper cites Nature methods , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Nature methods , volume=

Reference 73

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source=arxiv_source observed=2026-08-01T21:34:16.748475Z digest=sha256:177278f954f3deaa6f36afec8acf052ec20b250ddb607f9be5561d0e132c8a93

Observation 874db40b-a4cd-44b3-8ab8-4f5c7b0ea8c1 · outbound

This paper cites Genome biology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Genome biology , volume=

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source=arxiv_source observed=2026-08-01T21:34:16.981302Z digest=sha256:4d01c646fb0f448dce402bdb06b04ecf1036dd0dcf445b16d33e9644a4da2300

Observation 785e34f5-0439-48c0-96f6-110882b716db · outbound

This paper cites Proceedings of the international AAAI conference on web and social media , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Proceedings of the international AAAI conference on web and social media , volume=

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source=arxiv_source observed=2026-08-01T21:34:17.075953Z digest=sha256:6185d5cc324250315042396c35f1c4536eaff710575aeab31a503d3b4f7e4c1e

Observation 4c9163c1-1a34-4510-83a6-0f0ed5d41b03 · outbound

This paper cites BMC Molecular Biology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference BMC Molecular Biology , volume=

Reference 76

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source=arxiv_source observed=2026-08-01T21:34:17.261071Z digest=sha256:ae5595ed695434ab5da932d0385b9395b3b62d7800a7fef89590113ad351ec62

Observation 27de2176-10f8-4be6-94af-971c610b38ef · outbound

This paper cites Jak-stat , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Jak-stat , volume=

Reference 77

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source=arxiv_source observed=2026-08-01T21:34:17.463349Z digest=sha256:cc7d7613e25413199367a2ba768cd74e5f320e0beb287c2140f4fc392fb74890

Observation c9c05c38-549d-413f-ad1c-cd61d92ba1e6 · outbound

This paper cites Addiction biology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Addiction biology , volume=

Reference 78

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source=arxiv_source observed=2026-08-01T21:34:17.624220Z digest=sha256:3edcc5fb02e2e4084f5a5d07f4400e509a4fbf0808c0b9a5c640f1bffce61750

Observation 1396b8f9-a310-483d-8fb0-066757166ef3 · outbound

This paper cites Blood , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Blood , volume=

Reference 79

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source=arxiv_source observed=2026-08-01T21:34:17.780197Z digest=sha256:eeee617a888a3bf1edd1cf1a3c59569d8988fbe922f14b53e3b8180d58021d44

Observation 14989f66-3d02-47b9-a041-e24c3dd76929 · outbound

This paper cites Immunity , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Immunity , volume=

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source=arxiv_source observed=2026-08-01T21:34:17.924204Z digest=sha256:7ebbd80c77f97312a1a49d5d3a65ec473f4107001152056c538110c55cb74a0e

Observation 056e03a2-ed9f-4ccb-8a03-fe16620f4b27 · outbound

This paper cites The Journal of Immunology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference The Journal of Immunology , volume=

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source=arxiv_source observed=2026-08-01T21:34:18.043247Z digest=sha256:e9a53df5e6b7ab915130b5ccf1f70ce490cfdb4fb52c9da6268108a46c75f4d0

Observation cc794063-153f-4bde-acb9-5606aaa57cef · outbound

This paper cites Molecular Cancer Research , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Molecular Cancer Research , volume=

Reference 82

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source=arxiv_source observed=2026-08-01T21:34:18.174262Z digest=sha256:4370ace12d410471b88fe3e884be7035d0d3f9f394e5a1bddcc0b91c854e1c75

Observation 42fd4416-6ee6-4351-8f00-afd6ed2999fe · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Proceedings of the National Academy of Sciences , volume=

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source=arxiv_source observed=2026-08-01T21:34:18.364194Z digest=sha256:79ff9488c32d85731ea18e8d0aabdaf340d36fe43ec5a259a9b2a806339ad22d

Observation d3e646e5-251c-44fe-a0af-fbc37fdddb12 · outbound

This paper cites Blood, The Journal of the American Society of Hematology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Blood, The Journal of the American Society of Hematology , volume=

Reference 84

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no resolver link, observed 2026-08-01T21:34:18.491584Z

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source=arxiv_source observed=2026-08-01T21:34:18.491584Z digest=sha256:ca1b59ae39ba861720641ce8dcd2846c03b4e1c57bbd18b4315fd8dc637ae5ab

Observation 1c09727b-3f5b-4973-9323-ab1bc42ed8ae · outbound

This paper cites Journal of neuro-oncology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Journal of neuro-oncology , volume=

Reference 85

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no resolver link, observed 2026-08-01T21:34:18.626259Z

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source=arxiv_source observed=2026-08-01T21:34:18.626259Z digest=sha256:63e59fe169f4c27e66cea78a3b027d50241d1444d66e3d59883a8912fd10c7d8

Observation e3164042-e73f-43ea-9c61-1eea88609e1d · outbound

This paper cites Cancers , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Cancers , volume=

Reference 86

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no resolver link, observed 2026-08-01T21:34:18.743620Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T21:34:18.743620Z digest=sha256:101902d37745bd37fa502e3eeaa5a4d6113d8b37b3c3105a1da1047cf7e59496

Observation dea8289d-1932-44b6-b163-ae5b58af9f9d · outbound

This paper cites Journal of Oncology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Journal of Oncology , volume=

Reference 87

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no resolver link, observed 2026-08-01T21:34:18.884985Z

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source=arxiv_source observed=2026-08-01T21:34:18.884985Z digest=sha256:2b5f0ee11ef3e16b41f6893c1fc585569e2e31f3f4d763aa15538df66dcd341b

Observation e544ecc6-c1ef-4ce4-a44a-1f166357a1db · outbound

This paper cites Investigative Ophthalmology & Visual Science , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Investigative Ophthalmology & Visual Science , volume=

Reference 88

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no resolver link, observed 2026-08-01T21:34:18.991763Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T21:34:18.991763Z digest=sha256:deccb8ead1433d49f4c75d7b00b77ede8d803f6d6495f30cca8a3bc1e8971324

Observation e71a0adf-a76b-4577-bc43-71a5e7e53b62 · outbound

This paper cites Biochemical and biophysical research communications , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Biochemical and biophysical research communications , volume=

Reference 89

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no resolver link, observed 2026-08-01T21:34:19.109007Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T21:34:19.109007Z digest=sha256:620113556c0dc191368123297c09df18e81f0b6aa16e355841245ca98bfa4caa

Observation 4305f102-2e5f-4c8a-a63d-7442f5fb264f · outbound

This paper cites Digestive Diseases and Sciences , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Digestive Diseases and Sciences , volume=

Reference 90

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no resolver link, observed 2026-08-01T21:34:19.244726Z

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source=arxiv_source observed=2026-08-01T21:34:19.244726Z digest=sha256:ec72f66896a6091c1b3672ea17fc380b72bb49cbabc6c0c1ebe788bdbb7a1a00

Observation a4847264-6dc8-439c-8931-a111579d5ef5 · outbound

This paper cites Molecular cancer therapeutics , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Molecular cancer therapeutics , volume=

Reference 91

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no resolver link, observed 2026-08-01T21:34:19.425419Z

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source=arxiv_source observed=2026-08-01T21:34:19.425419Z digest=sha256:792bbb63e2a28ae68de735a65cb89cf10d92e80914f131f5ff08df28f4665088

Observation b4aec0b1-d7cd-46c5-939a-ae616c6c5a34 · outbound

This paper cites Scientific Reports , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Scientific Reports , volume=

Reference 92

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no resolver link, observed 2026-08-01T21:34:19.561182Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T21:34:19.561182Z digest=sha256:6997dc8309a3da2a0157b823f6c8d08dd2e3a27a9432b8d8301685bffd93e927

Observation c3f2f486-ad41-4a2a-b3fa-4c291919a4a3 · outbound

This paper cites DNA and Cell Biology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference DNA and Cell Biology , volume=

Reference 93

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no resolver link, observed 2026-08-01T21:34:19.705568Z

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source=arxiv_source observed=2026-08-01T21:34:19.705568Z digest=sha256:af5c0bbb1867301de05d40d3e8c70a9e7073cadf29a8eeda1780bf557861fff9

Observation e0799b5f-1301-4c4c-b797-1f47d92fed06 · outbound

This paper cites Oncotarget , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Oncotarget , volume=

Reference 94

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no resolver link, observed 2026-08-01T21:34:19.789979Z

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source=arxiv_source observed=2026-08-01T21:34:19.789979Z digest=sha256:6672a6da0eb78e3bbba16c9290409eee22acf50559fc0e1d37dce3d8e5fd8969

Observation 469c3e0d-5ba6-4818-82ea-9c2688e21ee6 · outbound

This paper cites The Journal of clinical investigation , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference The Journal of clinical investigation , volume=

Reference 95

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no resolver link, observed 2026-08-01T21:34:19.867278Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T21:34:19.867278Z digest=sha256:5c29a68947914189a8431e925f3a39e30cd312cd3a5234074645190aa814f597

Observation 332d0534-7087-4264-8756-592a031c45bd · outbound

This paper cites Blood, The Journal of the American Society of Hematology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Blood, The Journal of the American Society of Hematology , volume=

Reference 96

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no resolver link, observed 2026-08-01T21:34:19.951406Z

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source=arxiv_source observed=2026-08-01T21:34:19.951406Z digest=sha256:85945651a8917fc81ce004517f67694edcf82336e28903de55b95171ce0433cb

Observation c917e9fd-f10d-45eb-88e7-032397f6d67f · outbound

This paper cites Experimental hematology & oncology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Experimental hematology & oncology , volume=

Reference 97

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no resolver link, observed 2026-08-01T21:34:20.001044Z

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source=arxiv_source observed=2026-08-01T21:34:20.001044Z digest=sha256:deb4bfdb2a771804e6c03ad9cf138468302154ab733a04eac6d1f20920d36f67

Observation d64c5853-32fb-4b25-abbd-cc04eb70de33 · outbound

This paper cites Journal of Biological Chemistry , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Journal of Biological Chemistry , volume=

Reference 98

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source=arxiv_source observed=2026-08-01T21:34:20.075997Z digest=sha256:a927c7846c87071a193c7000918360ce6dd2725b43a512dcb0dc2357a9af1fda

Observation ce56445a-f52a-4177-8ec3-cbaa653320c8 · outbound

This paper cites Blood, The Journal of the American Society of Hematology , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Blood, The Journal of the American Society of Hematology , volume=

Reference 99

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no resolver link, observed 2026-08-01T21:34:20.156650Z

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source=arxiv_source observed=2026-08-01T21:34:20.156650Z digest=sha256:2688cc624b77ac8ddfeb23ed38bb887b768bf8d6c6624c0d51743b6a14af2edb

Observation 977902f7-5d10-4026-8140-87a263bbf2ac · outbound

This paper cites Investigative Ophthalmology & Visual Science , volume=.

Deep and Probabilistic Models for Gene Regulatory Network Inference Investigative Ophthalmology & Visual Science , volume=

Reference 100

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no resolver link, observed 2026-08-01T21:34:20.220537Z

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source=arxiv_source observed=2026-08-01T21:34:20.220537Z digest=sha256:243f276634c0966f872509485f0aa96bcae5f2e3f47282ac3771119a81a3415a

Pith citing papers

No inbound Pith citation observations are available.