{"as_of":"2026-08-14T08:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:43c69e3b41fc2576b185d965961f6860135ebc712efab405cb33bc4af0ea4c40","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T01:46:47.553867Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T10:33:50.842159Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T10:33:51.082718Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"cited_work":{"arxiv_id":"2607.03575","doi":null,"metadata_source":"pith","pith_arxiv_id":"2607.03575","snapshot_observed_at":"2026-08-11T10:33:51.082718Z","title":"SGN: A python framework for stream-processing pipelines","venue":"astro-ph.IM","work_id":"ab3aadd5-6007-4d84-8b2e-3b130826b2fe","year":2026},"citing_paper":{"arxiv_id":"2608.09804","last_updated":"2026-08-10T16:27:36Z","snapshot_observed_at":"2026-08-13T23:47:08.043660Z","submitted_at":"2026-08-10T16:27:36Z","title":"SGNAX: a unified matched-filter and excess-power pipeline for gravitational-wave detector characterization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T10:33:50.842159Z"},"links":{"cited_paper":"/paper/2607.03575","citing_paper":"/paper/2608.09804"},"observation_digest":"sha256:c1e69bec1b25190ced255cb1518c4443a56eaacaf6d93e18fd77a9c38cb0b78f","observation_id":"af31fefa-b1bb-4ef6-adc5-5830e4c14804","resolution":{"observed_at":"2026-08-11T10:33:51.087166Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2607.03575/citation-record","integrity":"/paper/2607.03575/integrity","json":"/paper/2607.03575/citation-record.json","paper":"/paper/2607.03575"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.161671Z","title":"Einstein, Approximative Integration of the Field Equations of Grav- itation, Sitzungsber","venue":null,"work_id":null,"year":1916},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.161671Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:f9c233461b0ae382854db6f450b8ce3914b31908e7a4eb300bbb286b8384db9b","observation_id":"772a92a3-de22-41f5-bddc-fb86766bad54","resolution":{"observed_at":"2026-08-04T01:46:47.161671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.237290Z","title":"Einstein, The Field Equations of Gravitation, Sitzungsber","venue":null,"work_id":null,"year":1915},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.237290Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:d11c57cefe7a2efef43858f366b3d84634941ffab00627447073335037190e47","observation_id":"8c6c8754-fdde-4f87-8c18-f9ab34d9b499","resolution":{"observed_at":"2026-08-04T01:46:47.237290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.342230Z","title":"Aasi, et al., Advanced LIGO, Classical and Quantum Gravity 32 (7) (2015) 074001.doi:10.1088/0264-9381/32/7/074001","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.342230Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:348f61a4277e5fd63dfb0904c4cf1720d889080f4bd9fe27b4ce7c80fe7f17d7","observation_id":"5904f403-5b00-4000-8893-e2b9b80aaff0","resolution":{"observed_at":"2026-08-04T01:46:47.342230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1408.3978","last_updated":"2014-10-16T13:24:29Z","snapshot_observed_at":"2026-08-12T13:34:29.588273Z","submitted_at":"2014-08-18T11:19:22Z","title":"Advanced Virgo: a 2nd generation interferometric gravitational wave detector","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1408.3978","snapshot_observed_at":"2026-08-04T01:46:47.405569Z","title":"Acernese, et al., Advanced Virgo: a second-generation interferometric gravitational wave detector, Class","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.405569Z"},"links":{"cited_paper":"/paper/1408.3978","citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:777047d6b77fe812d2c3c7cd6f5df6cfb0f89d2452293c3927338ea1b509d968","observation_id":"20767adc-df1e-4cd3-90f0-ebedbba00771","resolution":{"observed_at":"2026-08-04T01:46:47.405569Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.460010Z","title":"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","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.460010Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:491f4ebc952ad74a0abcf730834249a4c80a95587c4cf0e9a72892f61643fbe9","observation_id":"1e52b5ce-c998-485c-875b-830f3e19cd07","resolution":{"observed_at":"2026-08-04T01:46:47.460010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.486311Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.486311Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:651c08a589d8f4a1c82101617a17d50ae5f470eedf947a61f8552e139a150449","observation_id":"2254dfa6-c7d0-4645-98f6-773dd881f398","resolution":{"observed_at":"2026-08-04T01:46:47.486311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.490531Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.490531Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:d88b2626df9c91c8cb29c87e44fdab4639934aa1968dd49bb1141016c40f8217","observation_id":"77e1bf46-90d0-4782-a0d0-23a70748d581","resolution":{"observed_at":"2026-08-04T01:46:47.490531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.01045","last_updated":"2022-05-10T14:16:51Z","snapshot_observed_at":"2026-08-11T21:51:33.442130Z","submitted_at":"2021-08-02T17:09:29Z","title":"GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.01045","snapshot_observed_at":"2026-08-04T01:46:47.493442Z","title":"Abbott, et al., GWTC-2.1: Deep Extended Catalog of Compact Bi- nary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run (2022).arXiv:2108.01045","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.493442Z"},"links":{"cited_paper":"/paper/2108.01045","citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:e07a591cd20d38de63ce35cb9156e55466c9220b2e9a6467c2d9737cc29c1609","observation_id":"82d3bdba-afe5-4056-92b9-4894e507c543","resolution":{"observed_at":"2026-08-04T01:46:47.493442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.496497Z","title":"Abbott, et al., GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run, Phys","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.496497Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:cc70ab4234b2979fe5c7a59c786f0c81c9c2fc44a2740184973a5c6323be2dd6","observation_id":"9d2d3c10-4208-433e-bda4-008dfa953efd","resolution":{"observed_at":"2026-08-04T01:46:47.496497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.18082","last_updated":"2026-06-26T11:38:00Z","snapshot_observed_at":"2026-08-05T16:32:29.718291Z","submitted_at":"2025-08-25T14:46:09Z","title":"GWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.18082","snapshot_observed_at":"2026-08-04T01:46:47.499689Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.499689Z"},"links":{"cited_paper":"/paper/2508.18082","citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:7013053a9682a555002f19e020fffc97ff440f9d89d8489d076b626315c783b6","observation_id":"5f42071f-aec3-4c3c-9171-777ecd59944e","resolution":{"observed_at":"2026-08-04T01:46:47.499689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.27225","last_updated":"2026-06-23T16:50:16Z","snapshot_observed_at":"2026-08-13T22:07:19.434758Z","submitted_at":"2026-05-26T16:09:49Z","title":"GWTC-5.0: Observations from the Second Part of the Fourth LIGO-Virgo-KAGRA Observing Run and Updates to the Gravitational-Wave Transient Catalog","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.27225","snapshot_observed_at":"2026-08-04T01:46:47.503028Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.503028Z"},"links":{"cited_paper":"/paper/2605.27225","citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:3cd06823b70bdf94380bf7e2990e192ab54914601494d331701284814f6b2872","observation_id":"766f07c7-9632-4c52-97b4-518034dfa46b","resolution":{"observed_at":"2026-08-04T01:46:47.503028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.506323Z","title":"Collaboration, Gravitational-wave candidate event database, https://gracedb.ligo.org/superevents/public/","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.506323Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:78c2ff650ff005ed9d65217fb90fe95ce805bf2a5f1fb243b77ddf8f9c37757c","observation_id":"4056b55d-0a49-44fc-a238-b39230c9bcfb","resolution":{"observed_at":"2026-08-04T01:46:47.506323Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1510.06059","last_updated":"2015-10-16T15:18:01Z","snapshot_observed_at":"2026-07-06T04:33:44.933216Z","submitted_at":"2015-10-16T15:18:01Z","title":"IndIGO and LIGO-India: Scope and Plans for Gravitational Wave Research and Precision Metrology in India","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1510.06059","snapshot_observed_at":"2026-08-04T01:46:47.509650Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.509650Z"},"links":{"cited_paper":"/paper/1510.06059","citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:d1ad5fdbcb4692904943b06c845e11d56c276f488b30a2edb7176fb8a62bc381","observation_id":"f21c6e58-2b3f-4e03-83ba-5d8930098f89","resolution":{"observed_at":"2026-08-04T01:46:47.509650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.512713Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.512713Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:5e92f7e39798fb5386ae50c2769cc85599d5f4107bcfc6e033eff8fc0f4dc8c1","observation_id":"f5b3d440-c0a3-4525-8ec3-606dc59f833d","resolution":{"observed_at":"2026-08-04T01:46:47.512713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1702.00786","last_updated":"2017-02-23T05:33:01Z","snapshot_observed_at":"2026-08-11T09:09:15.127132Z","submitted_at":"2017-02-02T07:06:53Z","title":"Laser Interferometer Space Antenna","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.00786","snapshot_observed_at":"2026-08-04T01:46:47.516452Z","title":"Amaro-Seoane, et al., Laser interferometer space antenna (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.516452Z"},"links":{"cited_paper":"/paper/1702.00786","citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:0a11aa4c00f2c4f29ac32a469ffed89a1530231c68a5f5c1402d49e67b73312f","observation_id":"1062f504-7868-436a-92b4-98a772fbbdcd","resolution":{"observed_at":"2026-08-04T01:46:47.516452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.519052Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.519052Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:2688d0ab685d4bed315fbc3d0b5a90c5f1451ee7ed914c68459288b259cce7e3","observation_id":"4e3f074f-91a1-44a4-9407-20980cca9b93","resolution":{"observed_at":"2026-08-04T01:46:47.519052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.522402Z","title":"Messick, et al., Analysis framework for the prompt discovery of com- pact binary mergers in gravitational-wave data, Phys","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.522402Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:dc9c0cf8166bc4a6ca8a487e1d846e154fc273f1041b3ae539fd2c6b32b8544b","observation_id":"8f029b63-868d-473a-b79e-618c80b01242","resolution":{"observed_at":"2026-08-04T01:46:47.522402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.525241Z","title":"Cannon, S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.525241Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:3248f3f25d40d75906ad5004d259290a0b6e8457b70ce0e7105948f859f56def","observation_id":"54417f10-517a-4420-babb-44eb67ce4b9a","resolution":{"observed_at":"2026-08-04T01:46:47.525241Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.527906Z","title":"Ewing, et al., Performance of the low-latency GstLAL inspiral search towards LIGO, Virgo, and KAGRA’s fourth observing run, Phys","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.527906Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:35306f87185121fd47b1d5cc3cf22c0970eaca7f55e9984f47234d8245e7d202","observation_id":"b26862fe-d9eb-42b8-804a-e73c9420c5e1","resolution":{"observed_at":"2026-08-04T01:46:47.527906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.530347Z","title":"Tsukada, et al., Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences, Phys","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.530347Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:d453775129e0255b40ddada9de9655219468f52779f867b0acf1de271e159ff2","observation_id":"f02b76fd-bbba-4aff-b7b0-60ebc34fec32","resolution":{"observed_at":"2026-08-04T01:46:47.530347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.533247Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.533247Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:ae265fadbdd56f14a5ddde708af3f1766136abe7118b151c0a0c5145b4d3cb8c","observation_id":"ca4f4014-94da-4575-b559-a1aafce00e53","resolution":{"observed_at":"2026-08-04T01:46:47.533247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09973","last_updated":"2018-03-13T19:13:44Z","snapshot_observed_at":"2026-08-07T08:33:32.241258Z","submitted_at":"2017-10-27T03:18:17Z","title":"Reconstructing the calibrated strain signal in the Advanced LIGO detectors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.09973","snapshot_observed_at":"2026-08-04T01:46:47.536047Z","title":"Brown, J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.536047Z"},"links":{"cited_paper":"/paper/1710.09973","citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:efeb73b3d513d97ad89d1170382b94badaa47febc0656b380b68772f367e3c70","observation_id":"e653c8a3-2592-42f8-9453-bccb21aa4605","resolution":{"observed_at":"2026-08-04T01:46:47.536047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.00621","last_updated":"2023-01-10T14:38:13Z","snapshot_observed_at":"2026-08-13T15:12:29.885328Z","submitted_at":"2022-07-01T18:46:14Z","title":"Improving LIGO calibration accuracy by using time-dependent filters to compensate for temporal variations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.00621","snapshot_observed_at":"2026-08-04T01:46:47.538717Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.538717Z"},"links":{"cited_paper":"/paper/2207.00621","citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:c846f8657a49a9f3cd2f763df9ecd7139d6aa4754ff77bf30eefdf6911c9733d","observation_id":"d65b3933-c4e9-4ffe-809f-3490f2357886","resolution":{"observed_at":"2026-08-04T01:46:47.538717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.541695Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.541695Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:74043342a4c2e4279291455d4871ec2a019fc4880ce78857bb988cd2c0e30a97","observation_id":"086c2aab-3ada-4c7e-8e83-6113802ba492","resolution":{"observed_at":"2026-08-04T01:46:47.541695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.544215Z","title":"Godwin, Low-latency statistical data quality in the era of multi- messenger astronomy (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.544215Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:0e789c4b542cbe8018ba3e6fd1b2c9c06678173170340e0129f8ec9ff6b941df","observation_id":"b8b953e8-7ce0-42df-ba53-cdde4289a6ac","resolution":{"observed_at":"2026-08-04T01:46:47.544215Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.546683Z","title":"Huang, et al., SGNL: Scalable Low-Latency Gravitational Wave Detection Pipeline for Compact Binary Mergers (11 2025).arXiv:2511","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.546683Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:3553b6d574c226025896909a409a71fb205314c794ddff3b1984c406a3772006","observation_id":"51615554-9a99-445f-b197-1fb8a23f6514","resolution":{"observed_at":"2026-08-04T01:46:47.546683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.549115Z","title":"Huang, C","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.549115Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:967a075eaad3a1185ed6bf201e5451e0d650ef5267d5ddbdd8a993041c550067","observation_id":"16a39124-5d35-467b-8d01-9d01f535ba9d","resolution":{"observed_at":"2026-08-04T01:46:47.549115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.551519Z","title":"Yarbrough, et al., in preparation (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.551519Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:d8154ac1b171774a2e8b6f179af9506775e7c0b9a2b57ed31ef3f9b1d940c9e1","observation_id":"70c168ca-576b-4922-903a-b3761b3d1927","resolution":{"observed_at":"2026-08-04T01:46:47.551519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:46:47.553867Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T01:46:47.553867Z"},"links":{"citing_paper":"/paper/2607.03575"},"observation_digest":"sha256:9b4691cf80c60720eed2b147e1176525fbf8ce3498fd22a0b729089a4c292920","observation_id":"bda5c1ff-911e-43b2-8607-02d32f227ab6","resolution":{"observed_at":"2026-08-04T01:46:47.553867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.03575","last_updated":"2026-07-31T22:37:03Z","latest_version":3,"primary_category":"astro-ph.IM","snapshot_observed_at":"2026-08-07T09:53:08.212718Z","submitted_at":"2026-07-03T19:34:49Z","title":"SGN: A python framework for stream-processing pipelines"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":29,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":29},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"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."}