{"as_of":"2026-08-11T17:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b4ceb8c9ad116e40b0511dd1a8448a5800ab9ade0c1cd011320b5aec0a9cb3ac","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:56:21.395882Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.00380/citation-record","integrity":"/paper/2501.00380/integrity","json":"/paper/2501.00380/citation-record.json","paper":"/paper/2501.00380"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:22.012915Z","title":"A., Huang, R., & Ananthi, P","venue":null,"work_id":"68c2b33f-e85d-4784-abc7-ecc9f6a80469","year":2022},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.179893Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:83ad215fe3794f81015e6c3742b432ea38b443f7b143f5026f7c20a1bf689a92","observation_id":"f721c609-57d7-4abc-ba4a-2ee28168d78d","resolution":{"observed_at":"2026-08-10T22:56:22.016741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:22.000489Z","title":"M., Loveday, J., & Brunner, R","venue":null,"work_id":"b0980671-839f-4d43-b0a8-a3c576546571","year":2008},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.183755Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:5872ea6a362b489a933ff2b742bc6b5c0fc013a946456fb500c6edf37d90dd3c","observation_id":"4e26efd2-06f0-452d-b03a-91bae1ff39f0","resolution":{"observed_at":"2026-08-10T22:56:22.005313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.187604Z","title":"J., et al","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.187604Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:6564ec97e7301a04fa6298d5359c7f4a5f5443c98782c4c68243f4bb928a956f","observation_id":"78fde539-3837-4a80-86f3-3754349e8f91","resolution":{"observed_at":"2026-08-10T22:56:21.187604Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.982450Z","title":"Y ., Mcintosh, D","venue":null,"work_id":"447a174c-cdbe-4b89-87c5-fb15dc236f0e","year":2012},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.191705Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:0d04cde531d7734c4f2afb1b300ababb43858c7d3f7ab880eac3b1ab861e4bdf","observation_id":"a66590be-5541-4746-9a7d-407da46544cb","resolution":{"observed_at":"2026-08-10T22:56:21.986233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.195326Z","title":"B., van Dokkum, P","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.195326Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:95030d159115b0e0a3820907a4740fcb1140f950e157c4ad57022cfe35724c86","observation_id":"bfee916f-8ee4-4fb6-a2fc-25cf4ef299bf","resolution":{"observed_at":"2026-08-10T22:56:21.195326Z","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":"2026-08-10T22:56:21.198819Z","title":"& Charlot, S","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.198819Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:47c86b57fe03c33b24adaa55e5238288e6d5983b4df02510d79746ff3a27cc2b","observation_id":"ff062d53-569f-4267-adf1-7cb2b936c3d5","resolution":{"observed_at":"2026-08-10T22:56:21.198819Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.958942Z","title":"2020, in Proceedings of the 34th Interna- tional Conference on Neural Information Processing Systems, NIPS ’20 (Red","venue":null,"work_id":"33e461e3-b670-4c79-8ac3-778fd1f79c00","year":2020},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.202471Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:11b726dcc038e9c25c00f1e48fdacc7bbd63dcf8a608552a360f8908eb047d21","observation_id":"78697bc1-cf21-4ee6-94bd-dcb2762ea7a7","resolution":{"observed_at":"2026-08-10T22:56:21.963115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.948334Z","title":"2020, in Proceedings of the 37th International Conference on Machine Learning, ICML’20 (JMLR.org)","venue":null,"work_id":"74c4bb86-746c-4253-b4af-50d09e29a683","year":2020},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.205624Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:ee13ceb4cadd692fde7192e3b8c965a61f4efaddf9133b8ace921132edecfb0c","observation_id":"a7918a6d-1b70-4194-a237-3a36dc8ea674","resolution":{"observed_at":"2026-08-10T22:56:21.952183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.936971Z","title":"J., et al","venue":null,"work_id":"3efc3666-ef4b-4a6d-9595-e0db37b353ca","year":2021},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.209102Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:a14f58a2740c6c7496f838a6503897cfa0df8ee6c97750d8c64abcc2b48a796a","observation_id":"02a873c2-3ec8-4a4b-b912-dd6d4094fdba","resolution":{"observed_at":"2026-08-10T22:56:21.940560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.926218Z","title":"J., et al","venue":null,"work_id":"61229705-4bd4-47c5-a6b8-f3c032af6fc2","year":2020},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.212616Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:b4c0402e12bc752b1ce95e62b7724e482b04fbeadbb30ed5fc34adab43310f8a","observation_id":"c9200bcd-d84f-4838-af28-76ce5cc4391d","resolution":{"observed_at":"2026-08-10T22:56:21.930284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.216246Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.216246Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:d5c2ce23680a855b0c4a194b9cf80e221a441d209c25c2f664e83ed01e957e06","observation_id":"200dde00-2b83-43b2-a8e0-9e6b65ddeb9b","resolution":{"observed_at":"2026-08-10T22:56:21.216246Z","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":"2026-08-10T22:56:21.220169Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.220169Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:e94c143c97201f5fa62325322a425ccc67b258f23d1f70acf1c2655bd0974008","observation_id":"82c7a0f9-b585-4c05-8141-2982ca72a5af","resolution":{"observed_at":"2026-08-10T22:56:21.220169Z","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":"2026-08-10T22:56:21.223744Z","title":"J., Bershady, M","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.223744Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:ef39fb1a987c0e139651085f4673b92d6d6f0f4e60fd7902418d3b019bdeb368","observation_id":"8157cc5f-fd71-4f2e-9f8a-6f09d1f1ce36","resolution":{"observed_at":"2026-08-10T22:56:21.223744Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.894796Z","title":"J., Rajgor, S., & Myers, R","venue":null,"work_id":"2c6da885-7998-4728-88f0-16e86e971211","year":2008},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.227051Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:63ca77c1dd5bc86ad17847de2225bda26173b76bcd0f76f552d27f11b789f9e1","observation_id":"80219dec-3aac-4656-8157-1bfa71ede308","resolution":{"observed_at":"2026-08-10T22:56:21.898877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.883302Z","title":"2023, ApJS, 268, 34","venue":null,"work_id":"d37d9444-6832-44d1-91e2-93015a1c0d2a","year":2023},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.230518Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:6bf8a9748cd0905f5b4b2490f980099d1c9cb87b4aa68882f911e59cdade482d","observation_id":"72a40521-dbb2-45b8-a144-faa06dd3b637","resolution":{"observed_at":"2026-08-10T22:56:21.886965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.872420Z","title":"W., & Dambre, J","venue":null,"work_id":"ef1bcc30-dece-4577-9e87-253ddfeb4633","year":2015},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.233943Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:423920e58e9e2a7974bf74ffe2284f0c07b90d6ddc4ccd48214b5ac3b364dcee","observation_id":"a9335940-6769-4de3-90ef-d1c013c7b92b","resolution":{"observed_at":"2026-08-10T22:56:21.876105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.860794Z","title":"2021, in 9th International Con- ference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021 (OpenReview.net)","venue":null,"work_id":"06cc1a2c-607c-4161-b720-0c103f7a8220","year":2021},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.237255Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:f047d5bcf01a6a1575a28f6a5533296ca9d4e3c8d9a37a90bd8431b60ba80dec","observation_id":"7a4b4e48-e3b9-4e01-8d67-5b7f3e510244","resolution":{"observed_at":"2026-08-10T22:56:21.864639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.849067Z","title":"C., & Hospedales, T","venue":null,"work_id":"a4653268-596e-44ff-a6f2-c0d0d2b71807","year":2022},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.240723Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:39aa99289ea7365787543ae8b6c6c04faba355863b8f0fc4d0b49670d27334e3","observation_id":"76d5e7e1-f353-45b3-a452-b0f693ad44fb","resolution":{"observed_at":"2026-08-10T22:56:21.853677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.837017Z","title":"2023, AJ, 165, 35","venue":null,"work_id":"fe9323b3-0d88-4052-a4d8-c2eb02997f82","year":2023},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.244969Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:7744824f55bc3771086adf41cb0bd6c35ec01a344abff03cffc66f59b1410173","observation_id":"28b7bd35-2fc0-494a-9acd-36aa8b257308","resolution":{"observed_at":"2026-08-10T22:56:21.840843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.249519Z","title":"E., Izbicki, R., Lee, A","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.249519Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:393891d73e0bca00702be32cf9be51136c9605f46309c501a4ed03de6b7904fc","observation_id":"23742433-1441-4fc9-9503-f311d1cca2ea","resolution":{"observed_at":"2026-08-10T22:56:21.249519Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.820178Z","title":"M., Wang, Z., et al","venue":null,"work_id":"0b9f8c3c-afac-40c9-bdd0-092504f26898","year":2020},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.252916Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:50159cf9ddad1d434951593fe0daaef3a8dbeca06134c531206ac768138ea569","observation_id":"3692c416-b907-4e42-8f85-d4019c07265a","resolution":{"observed_at":"2026-08-10T22:56:21.823982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.809821Z","title":"2018, AJ, 855, 10","venue":null,"work_id":"5d7ab712-9ae6-46e5-898f-ef9acc8d908f","year":2018},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.256363Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:8390f86d5146dbe5031957bba83d3d4e5a33506e3aeb8d8155bf1f41d64e8dcc","observation_id":"7b172f33-20c9-49ce-93f6-aeac74e3c563","resolution":{"observed_at":"2026-08-10T22:56:21.813166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.798617Z","title":null,"venue":null,"work_id":"5d79dc2e-9241-4217-a94f-963ab145f9c1","year":1979},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.260199Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:8f3288cc090c0c4b43a150f9dd2eae0d916603639f6d199dcdb97763462da69a","observation_id":"e86bf7d3-ae5e-4fcc-aeff-64db704097b6","resolution":{"observed_at":"2026-08-10T22:56:21.802834Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.263670Z","title":"2016, in 2016 IEEE Conference on Com- puter Vision and Pattern Recognition (CVPR), 770–778","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.263670Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:a4d1da8e085cccde70ba7f3bd61c4304550fb66fdfe6bf02cd6dcea417fe2d0d","observation_id":"4f73ead4-a55a-42d9-a348-6b5a891f36ff","resolution":{"observed_at":"2026-08-10T22:56:21.263670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.05526","last_updated":"2021-09-12T14:35:59Z","snapshot_observed_at":"2026-07-06T11:46:47.166671Z","submitted_at":"2021-09-12T14:35:59Z","title":"An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy","version":1},"cited_work":{"arxiv_id":"2109.05526","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.05526","snapshot_observed_at":"2026-08-10T22:56:21.452759Z","title":"An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy","venue":"cs.CV","work_id":"5c8cff88-bb89-4696-9516-f4796f29f163","year":2021},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.267403Z"},"links":{"cited_paper":"/paper/2109.05526","citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:a3f33c0901bb12b541c89bfd8064185bb16f7a92272bcd508e1eb8808f8158d3","observation_id":"ac85c924-112b-4901-8c20-37f190e7998d","resolution":{"observed_at":"2026-08-10T22:56:21.456726Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.782009Z","title":"2008, ApJ, 690, 1236","venue":null,"work_id":"df6f89ae-adf9-4b14-b1dc-c85457e999a3","year":2008},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.271948Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:18644d11da1638e3460f4d6f937ad7390844cede390b95cbc749930e0a6d0911","observation_id":"b76197e5-aab8-4752-ae7e-4bdafc4482cc","resolution":{"observed_at":"2026-08-10T22:56:21.785347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.274963Z","title":"J., et al","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.274963Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:95eb3836fae913fdf9d2151ef6a415da4721d765b217015c0bec1ebe4309ccde","observation_id":"e839961a-543b-4ea6-801c-6f23bf657eaf","resolution":{"observed_at":"2026-08-10T22:56:21.274963Z","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":"2026-08-10T22:56:21.278426Z","title":"S., Rose, C., Vanderhoof, B","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.278426Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:eddc1c35a522713d1258e16581695a7c1cb413125c14489f0dc2817a65df5636","observation_id":"2a243d27-e840-4b38-85b8-599ad1ca34a6","resolution":{"observed_at":"2026-08-10T22:56:21.278426Z","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":"2026-08-10T22:56:21.281461Z","title":"M., Aussel, H., Calzetti, D., et al","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.281461Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:a6ac5d0680720fcc9571adf942e9ee4ce67beeb2faffa4941a99ae38ae10a9a9","observation_id":"98202f92-08c7-4565-a228-02514c35d0ec","resolution":{"observed_at":"2026-08-10T22:56:21.281461Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.753076Z","title":"M., Fruchter, A","venue":null,"work_id":"f4acac8c-5d6d-44fe-9711-fe172a1139eb","year":2003},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.285195Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:498665781b0c009c6d10f80f7366cf63aeebfc218cc31938476d75ff0ced92f6","observation_id":"eddd4e87-88cf-4f8c-92b5-1500e19fda9b","resolution":{"observed_at":"2026-08-10T22:56:21.756984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.742711Z","title":null,"venue":null,"work_id":"c5d26343-0a17-4261-8adf-c6a030a88f30","year":2019},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.288566Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:1cb55b9e01d643d945a7fc4ccb7c500397fcd10c583a8b39ad9b6036118b4027","observation_id":"6a6c9e30-d535-4c7e-a3e2-821f2e350d9d","resolution":{"observed_at":"2026-08-10T22:56:21.746237Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.731845Z","title":"2021, in 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 9992–10002","venue":null,"work_id":"30b0ac34-3412-4141-8826-e7e1fd8ed890","year":2021},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.292274Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:bbfd55b8fd6ba72e8ebee39509a56fe564fe951ed494ac4740a9f7a91218e8fa","observation_id":"a9813187-b3ac-4400-9d94-f0c30ab41dbc","resolution":{"observed_at":"2026-08-10T22:56:21.735551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.720152Z","title":"2022, in 2022 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), 11966–11976","venue":null,"work_id":"0db70e41-521e-4af0-ba34-2c30d819a475","year":2022},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.296072Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:65963950fea1b16db008e9b8dce490d3f564f4c1b8ac819e502acb7411c34dc4","observation_id":"871a69f9-1847-454f-802a-1fa5219a4872","resolution":{"observed_at":"2026-08-10T22:56:21.724179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08995","last_updated":"2023-11-15T14:33:22Z","snapshot_observed_at":"2026-07-06T16:47:57.524339Z","submitted_at":"2023-11-15T14:33:22Z","title":"Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images","version":1},"cited_work":{"arxiv_id":"2311.08995","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.08995","snapshot_observed_at":"2026-08-10T22:56:21.436911Z","title":"Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images","venue":"cs.CV","work_id":"a271bbbe-a3f4-42c9-9df8-b98bda1ca714","year":2023},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.299136Z"},"links":{"cited_paper":"/paper/2311.08995","citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:a739bae2cac7af692d348b2a99a6ff397bbcf165402bf2ba66ad0364651f326c","observation_id":"044333c0-f585-41d2-89dd-5d43084e1b1f","resolution":{"observed_at":"2026-08-10T22:56:21.442878Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.303194Z","title":"M., Davis, M., Faber, S","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.303194Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:403b992eac5030590eb1f1375fb1653bea3ffde7811c10c59c3587bfaedb6406","observation_id":"9eabf67f-f114-4feb-ab82-abed9d920df3","resolution":{"observed_at":"2026-08-10T22:56:21.303194Z","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":"2026-08-10T22:56:21.306848Z","title":"M., Primack, J., & Madau, P","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.306848Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:ddba26c06aa65b1d15e9829c82ff15ff7c93c54a53e43efc0c002b92e0e5ff58","observation_id":"9d3da498-5105-49d2-9bfc-2bbcd65e610f","resolution":{"observed_at":"2026-08-10T22:56:21.306848Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.695626Z","title":"2011, in Artificial Neural Networks and Machine Learning – ICANN 2011, ed","venue":null,"work_id":"2c5a09cf-f6bc-42fb-b257-7dd4295633ff","year":2011},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.310146Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:717837d96bbe4a2b61cf63e6983f205a109f45af2d1be51201104591bb77a071","observation_id":"d3c049ca-1949-44d2-9899-19dbcf82d5f1","resolution":{"observed_at":"2026-08-10T22:56:21.700189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.682602Z","title":"1983, The Computer Journal, 26, 354","venue":null,"work_id":"ceffd623-6373-4ff7-ad0a-6e27b8fae413","year":1983},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.313520Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:9cb2ad4bd19a12534f228e44f712f4ed0f6ea8ea2b8700f82820fda96b79cab1","observation_id":"e1e4b22f-99df-4ded-a839-00bbc1740dc5","resolution":{"observed_at":"2026-08-10T22:56:21.687487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.671065Z","title":"& Legendre, P","venue":null,"work_id":"bec1f5fc-f6b1-4123-88a5-4c65343acf19","year":2014},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.316999Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:66396926272daa2b8ce1abfc9878c3893452a340a8827957e33a158beaf21a8e","observation_id":"9f54ee6b-4674-4f72-afa2-d2a4fbff5c65","resolution":{"observed_at":"2026-08-10T22:56:21.675749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13689","last_updated":"2023-05-23T04:54:09Z","snapshot_observed_at":"2026-08-05T02:32:42.150015Z","submitted_at":"2023-05-23T04:54:09Z","title":"Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13689","snapshot_observed_at":"2026-08-10T22:56:21.320424Z","title":"J., Boga, B., et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.320424Z"},"links":{"cited_paper":"/paper/2305.13689","citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:0002193fe30a9f28a817c4aba33428b3ec4d654a465e2be08006e898c7cec734","observation_id":"1722e7a9-70a4-4a02-b98c-d84b23ba80ed","resolution":{"observed_at":"2026-08-10T22:56:21.320424Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.657817Z","title":"& Chen, P.-Y","venue":null,"work_id":"bf2e2300-20d1-483c-b603-bb12aa023b6a","year":2022},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.324540Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:a45f1a2f021608c751e088815defd2f699baa9b97ba87747004d9c25b6eb1473","observation_id":"01a48fef-9076-482b-9f12-5f1288fd719d","resolution":{"observed_at":"2026-08-10T22:56:21.663956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.327919Z","title":"Y ., Ho, L","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.327919Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:99b8160c43f14083623d303ae95502de01dbda073ac0048e585f2d94b102af99","observation_id":"154ba485-7e41-4458-88fa-f3fb9c8e8cfd","resolution":{"observed_at":"2026-08-10T22:56:21.327919Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.636601Z","title":"2020, Computation O ffloading in Mobile Edge Computing, ed","venue":null,"work_id":"62fc4090-3bc6-44e6-bac8-def95ab0f1ec","year":2020},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.331378Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:1593f31f4ed670b42e614eff44efbcd34c6f9f3cd7f422f5666eefe4240ed6aa","observation_id":"0c9d575c-0d89-4e6f-b1c7-87a20ff91d13","resolution":{"observed_at":"2026-08-10T22:56:21.641463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.625388Z","title":"A., Lotz, J","venue":null,"work_id":"da324ae2-a58e-4c36-9c16-fce1b58a4dc3","year":2016},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.335154Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:2060c3e7f0f8e582804bb37a5d95eae89a8275a7455e871db7c871f164391386","observation_id":"3d616c83-e6c8-412d-8174-cd0972f185a3","resolution":{"observed_at":"2026-08-10T22:56:21.629039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.338705Z","title":"C., et al","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.338705Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:c8c791075af5d703452c59331968b9cfaab8b7aa65c38d22dbfc817262b89d14","observation_id":"0a6fce4a-7a64-4b9f-a99e-ff9807fc1e9c","resolution":{"observed_at":"2026-08-10T22:56:21.338705Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.605283Z","title":"F., Lotz, J","venue":null,"work_id":"82f930b2-e7c0-4a50-85d3-8c884f66a346","year":2018},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.342832Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:02d9471f4c01064d365a55a27e077b2998abe2e1700087f7607726619b608132","observation_id":"9914ca7c-db59-458a-b793-459edc8c558e","resolution":{"observed_at":"2026-08-10T22:56:21.609718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.593180Z","title":"R., de Carvalho, R","venue":null,"work_id":"c1f77f34-f5b8-4522-80d3-7b8453bb8aef","year":2018},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.346442Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:b7798907712be7327f0fbccdedc7e3063f1e6106f1513ad16d44eb3b35b5b7d4","observation_id":"5b6cbd76-9461-45a1-8d23-2b4632000c90","resolution":{"observed_at":"2026-08-10T22:56:21.596844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.583110Z","title":"2021, IEEE Access, 9, 82146–82168","venue":null,"work_id":"5db27c79-13e7-4da0-9e05-35543063c108","year":2021},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.349999Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:fad79e37e4e500df1bfad159267aca975d893c6b42848f54bd48f6c864e11280","observation_id":"fd179b47-4b9f-44ee-b172-cbc42aae4cd8","resolution":{"observed_at":"2026-08-10T22:56:21.586878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.572797Z","title":"2007, ApJS, 172, 1–8","venue":null,"work_id":"b6b4e02b-c6a1-45a2-87ce-5574903be8a3","year":2007},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.354241Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:f34a113e2a48a26408a0dba0dc55d5d8741edeafd5c3ee652443ed39f7e9b7eb","observation_id":"cd669701-4d53-4b29-b1a7-2e20bec0edd8","resolution":{"observed_at":"2026-08-10T22:56:21.576521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.562903Z","title":"2024, ApJS, 272, 42","venue":null,"work_id":"838217f6-3fde-4144-9ee0-b7dbdd2e3b42","year":2024},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.357776Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:94d21ce5a7377cb0044089a7e67c0d3d095935118a15524c1d17baf40fce7778","observation_id":"0b2c7a40-408d-47bd-95b0-7600d0c20adb","resolution":{"observed_at":"2026-08-10T22:56:21.566328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.552243Z","title":"S., et al","venue":null,"work_id":"d64ac9cd-6ef4-49e6-adcd-01235f19aa0a","year":2017},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.361140Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:30ea0ea0fe826788a0825acde7ae2ead54c55c91d769091a583c256efbf6d897","observation_id":"645d32f2-1588-4c84-8d41-459a124a470a","resolution":{"observed_at":"2026-08-10T22:56:21.555695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.364938Z","title":"H., Bernardi, M., et al","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.364938Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:3949663954be1fea60f9c308a9ed99edda76a4886d3680323d57604bde55e51e","observation_id":"8c25c960-4257-40fd-894d-0db348726c29","resolution":{"observed_at":"2026-08-10T22:56:21.364938Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.535278Z","title":"P., Conselice, C","venue":null,"work_id":"0ae4a1c1-5d17-403f-b2fb-f6f2dfb5124f","year":2024},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.369041Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:6f0ceb63da00c14681b35fad6fd438c230fffb3e3c705ab421de84a15ae15392","observation_id":"7237ac4a-dbd9-46f0-8092-929f4002c924","resolution":{"observed_at":"2026-08-10T22:56:21.539024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.373311Z","title":"2021, MNRAS, 506, 1927","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.373311Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:f8350a3f0c52812e60c7dd88a3e4f83cd5b90f4c79037143000d32be6ee71a4f","observation_id":"29670027-a364-4e82-b7cc-bee93261c803","resolution":{"observed_at":"2026-08-10T22:56:21.373311Z","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":"2026-08-10T22:56:21.376947Z","title":"R., Kauffmann, O","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.376947Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:7c28f329509d0603c8761b7fe80965a52dcdec8e4075e2bca29200b05ccea18c","observation_id":"013f73ee-5e5e-4336-8205-a09c67a1f5cc","resolution":{"observed_at":"2026-08-10T22:56:21.376947Z","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":"2026-08-10T22:56:21.380514Z","title":"W., Lintott, C","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.380514Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:165d9497f16275680f023ed3da58452f6c944705342b1a1203a60095e03abcf2","observation_id":"e0ce33e1-296a-4d94-b718-cdc0f8ef36f1","resolution":{"observed_at":"2026-08-10T22:56:21.380514Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.500619Z","title":"2023, AJ, 954, 113","venue":null,"work_id":"c0e3ad9d-8532-4035-ba5f-9b3907778a74","year":2023},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.384724Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:6851ab2f48817c9947cce044a2c34c75c4427cb632797adee7ac2a160acdf17e","observation_id":"5e42d44f-8fec-4ef9-82f5-7db18e9c3af8","resolution":{"observed_at":"2026-08-10T22:56:21.504580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.488216Z","title":"1996, in Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, SIGMOD ’96 (New York, NY , USA: Association for Computing Machinery), 103–114","venue":null,"work_id":"93f75b92-4011-403a-83b0-772a36150356","year":1996},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.388857Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:cdfc5a1065a286eccbcf41a54d65c3b0c389222dc9c6eee0113bfd8896001186","observation_id":"7d39322f-6ce4-43e1-af37-18d9713989a6","resolution":{"observed_at":"2026-08-10T22:56:21.492673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.476399Z","title":"2022, AJ, 163, 86","venue":null,"work_id":"5e9bf219-fad7-47c2-968d-64067e92412c","year":2022},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.392379Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:00ee579eba4b0d62d0120fc3d328c1a5c666cfc40745ade0302be52b56fb1de1","observation_id":"90cb497d-e59a-4c15-994f-5a54a998f728","resolution":{"observed_at":"2026-08-10T22:56:21.480072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:56:21.464631Z","title":"2019, Astrophysics and Space Science, 364 Article number, page 12 of 12","venue":null,"work_id":"630f3183-b52d-4235-8314-d3fa805bcd0b","year":2019},"citing_paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T22:56:21.395882Z"},"links":{"citing_paper":"/paper/2501.00380"},"observation_digest":"sha256:2921d289dc6bcdc6fcd48f77cbb3db8a3a40f2d259850012ed46b26712ac5911","observation_id":"02c05c0a-7c2b-4246-9342-2242daed1647","resolution":{"observed_at":"2026-08-10T22:56:21.468683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.00380","last_updated":"2024-12-31T10:28:19Z","latest_version":1,"primary_category":"astro-ph.GA","snapshot_observed_at":"2026-08-11T13:50:50.672966Z","submitted_at":"2024-12-31T10:28:19Z","title":"An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":36},"total_outbound_references":60},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2501.00380."}