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Paper Citation Record · LEDGER

SGN: A python framework for stream-processing pipelines

As of 14 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2607.03575.

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

pith.paper-citation-record.v1
2607.03575 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:46:47.553867Z

measured 30 of 30 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:33:50.842159Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T10:33:51.082718Z

Reference resolution

29 of 29 outbound references displayed

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Outbound references

Observation 772a92a3-de22-41f5-bddc-fb86766bad54 · outbound

This paper cites Einstein, Approximative Integration of the Field Equations of Grav- itation, Sitzungsber.

SGN: A python framework for stream-processing pipelines Einstein, Approximative Integration of the Field Equations of Grav- itation, Sitzungsber

Reference 1

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Observation 8c6c8754-fdde-4f87-8c18-f9ab34d9b499 · outbound

This paper cites Einstein, The Field Equations of Gravitation, Sitzungsber.

SGN: A python framework for stream-processing pipelines Einstein, The Field Equations of Gravitation, Sitzungsber

Reference 2

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Observation 5904f403-5b00-4000-8893-e2b9b80aaff0 · outbound

This paper cites Aasi, et al., Advanced LIGO, Classical and Quantum Gravity 32 (7) (2015) 074001.doi:10.1088/0264-9381/32/7/074001.

SGN: A python framework for stream-processing pipelines Aasi, et al., Advanced LIGO, Classical and Quantum Gravity 32 (7) (2015) 074001.doi:10.1088/0264-9381/32/7/074001

Reference 3

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Observation 20767adc-df1e-4cd3-90f0-ebedbba00771 · outbound

This paper cites Advanced Virgo: a 2nd generation interferometric gravitational wave detector.

SGN: A python framework for stream-processing pipelines Advanced Virgo: a 2nd generation interferometric gravitational wave detector

Reference 4

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Observation 1e52b5ce-c998-485c-875b-830f3e19cd07 · outbound

This paper cites Akutsu, et al., Overview of KAGRA: Detector design and con- struction history, PTEP 2021 (5) (2021) 05A101.arXiv:2005.05574, doi:10.1093/ptep/ptaa125.

SGN: A python framework for stream-processing pipelines Akutsu, et al., Overview of KAGRA: Detector design and con- struction history, PTEP 2021 (5) (2021) 05A101.arXiv:2005.05574, doi:10.1093/ptep/ptaa125

Reference 5

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Observation 2254dfa6-c7d0-4645-98f6-773dd881f398 · outbound

This paper cites an unresolved cited work.

SGN: A python framework for stream-processing pipelines Unresolved cited work

Reference 6

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Observation 77e1bf46-90d0-4782-a0d0-23a70748d581 · outbound

This paper cites an unresolved cited work.

SGN: A python framework for stream-processing pipelines Unresolved cited work

Reference 7

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Observation 82d3bdba-afe5-4056-92b9-4894e507c543 · outbound

This paper cites GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run.

SGN: A python framework for stream-processing pipelines GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run

Reference 8

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Observation 9d2d3c10-4208-433e-bda4-008dfa953efd · outbound

This paper cites Abbott, et al., GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run, Phys.

SGN: A python framework for stream-processing pipelines Abbott, et al., GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run, Phys

Reference 9

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Observation 5f42071f-aec3-4c3c-9171-777ecd59944e · outbound

This paper cites GWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run.

SGN: A python framework for stream-processing pipelines GWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run

Reference 10

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Observation 766f07c7-9632-4c52-97b4-518034dfa46b · outbound

This paper cites GWTC-5.0: Observations from the Second Part of the Fourth LIGO-Virgo-KAGRA Observing Run and Updates to the Gravitational-Wave Transient Catalog.

SGN: A python framework for stream-processing pipelines GWTC-5.0: Observations from the Second Part of the Fourth LIGO-Virgo-KAGRA Observing Run and Updates to the Gravitational-Wave Transient Catalog

Reference 11

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Observation 4056b55d-0a49-44fc-a238-b39230c9bcfb · outbound

This paper cites Collaboration, Gravitational-wave candidate event database, https://gracedb.ligo.org/superevents/public/.

SGN: A python framework for stream-processing pipelines Collaboration, Gravitational-wave candidate event database, https://gracedb.ligo.org/superevents/public/

Reference 12

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Observation f21c6e58-2b3f-4e03-83ba-5d8930098f89 · outbound

This paper cites IndIGO and LIGO-India: Scope and Plans for Gravitational Wave Research and Precision Metrology in India.

SGN: A python framework for stream-processing pipelines IndIGO and LIGO-India: Scope and Plans for Gravitational Wave Research and Precision Metrology in India

Reference 13

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Observation f5b3d440-c0a3-4525-8ec3-606dc59f833d · outbound

This paper cites an unresolved cited work.

SGN: A python framework for stream-processing pipelines Unresolved cited work

Reference 14

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Observation 1062f504-7868-436a-92b4-98a772fbbdcd · outbound

This paper cites Laser Interferometer Space Antenna.

SGN: A python framework for stream-processing pipelines Laser Interferometer Space Antenna

Reference 15

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Observation 4e3f074f-91a1-44a4-9407-20980cca9b93 · outbound

This paper cites an unresolved cited work.

SGN: A python framework for stream-processing pipelines Unresolved cited work

Reference 16

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Observation 8f029b63-868d-473a-b79e-618c80b01242 · outbound

This paper cites Messick, et al., Analysis framework for the prompt discovery of com- pact binary mergers in gravitational-wave data, Phys.

SGN: A python framework for stream-processing pipelines Messick, et al., Analysis framework for the prompt discovery of com- pact binary mergers in gravitational-wave data, Phys

Reference 17

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Observation 54417f10-517a-4420-babb-44eb67ce4b9a · outbound

This paper cites Cannon, S.

SGN: A python framework for stream-processing pipelines Cannon, S

Reference 18

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Observation b26862fe-d9eb-42b8-804a-e73c9420c5e1 · outbound

This paper cites Ewing, et al., Performance of the low-latency GstLAL inspiral search towards LIGO, Virgo, and KAGRA’s fourth observing run, Phys.

SGN: A python framework for stream-processing pipelines Ewing, et al., Performance of the low-latency GstLAL inspiral search towards LIGO, Virgo, and KAGRA’s fourth observing run, Phys

Reference 19

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Observation f02b76fd-bbba-4aff-b7b0-60ebc34fec32 · outbound

This paper cites Tsukada, et al., Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences, Phys.

SGN: A python framework for stream-processing pipelines Tsukada, et al., Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences, Phys

Reference 20

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Observation ca4f4014-94da-4575-b559-a1aafce00e53 · outbound

This paper cites an unresolved cited work.

SGN: A python framework for stream-processing pipelines Unresolved cited work

Reference 21

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Observation e653c8a3-2592-42f8-9453-bccb21aa4605 · outbound

This paper cites Reconstructing the calibrated strain signal in the Advanced LIGO detectors.

SGN: A python framework for stream-processing pipelines Reconstructing the calibrated strain signal in the Advanced LIGO detectors

Reference 22

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Observation d65b3933-c4e9-4ffe-809f-3490f2357886 · outbound

This paper cites Improving LIGO calibration accuracy by using time-dependent filters to compensate for temporal variations.

SGN: A python framework for stream-processing pipelines Improving LIGO calibration accuracy by using time-dependent filters to compensate for temporal variations

Reference 23

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Observation 086c2aab-3ada-4c7e-8e83-6113802ba492 · outbound

This paper cites an unresolved cited work.

SGN: A python framework for stream-processing pipelines Unresolved cited work

Reference 24

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Observation b8b953e8-7ce0-42df-ba53-cdde4289a6ac · outbound

This paper cites Godwin, Low-latency statistical data quality in the era of multi- messenger astronomy (2020).

SGN: A python framework for stream-processing pipelines Godwin, Low-latency statistical data quality in the era of multi- messenger astronomy (2020)

Reference 25

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Observation 51615554-9a99-445f-b197-1fb8a23f6514 · outbound

This paper cites Huang, et al., SGNL: Scalable Low-Latency Gravitational Wave Detection Pipeline for Compact Binary Mergers (11 2025).arXiv:2511.

SGN: A python framework for stream-processing pipelines Huang, et al., SGNL: Scalable Low-Latency Gravitational Wave Detection Pipeline for Compact Binary Mergers (11 2025).arXiv:2511

Reference 26

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Observation 16a39124-5d35-467b-8d01-9d01f535ba9d · outbound

This paper cites Huang, C.

SGN: A python framework for stream-processing pipelines Huang, C

Reference 27

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Observation 70c168ca-576b-4922-903a-b3761b3d1927 · outbound

This paper cites Yarbrough, et al., in preparation (2026).

SGN: A python framework for stream-processing pipelines Yarbrough, et al., in preparation (2026)

Reference 28

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Observation bda5c1ff-911e-43b2-8607-02d32f227ab6 · outbound

This paper cites an unresolved cited work.

SGN: A python framework for stream-processing pipelines Unresolved cited work

Reference 29

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Pith citing papers

Observation af31fefa-b1bb-4ef6-adc5-5830e4c14804 · inbound

SGNAX: a unified matched-filter and excess-power pipeline for gravitational-wave detector characterization cites this paper.

SGNAX: a unified matched-filter and excess-power pipeline for gravitational-wave detector characterization SGN: A python framework for stream-processing pipelines

Reference 25

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