{"as_of":"2026-08-10T11:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5da9bb465ad7e4bace3e6951136b4e073d9b1e76fa8910f457e8a330f3c3b666","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:42:50.040158Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2506.13073/citation-record","integrity":"/paper/2506.13073/integrity","json":"/paper/2506.13073/citation-record.json","paper":"/paper/2506.13073"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:42:50.973242Z","title":"Gsv-cities: Toward appropriate supervised visual place recognition.Neurocomputing, 513:194–203, 2022","venue":null,"work_id":"eed0aa05-f240-4233-b23a-49f94a0d472c","year":2022},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:45.070444Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:66db5195f5bbd0bc2acd54e0f7ac005b15108b6e5d2f5e8cea31de56d19a1f3c","observation_id":"03ce0327-8c8d-41cc-ac49-422f27b2f6a9","resolution":{"observed_at":"2026-08-07T00:42:50.977593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.957737Z","title":"Mixvpr: Feature mixing for visual place recognition","venue":null,"work_id":"f58c10f4-451c-4c9e-acb9-e5ec841ec0ff","year":2023},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:45.206764Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:2c7cb8f87fd729eb7a98903eb83aea204b38e5653b2952e3bba03703e0d0cea7","observation_id":"480b177a-d4d4-473e-ab4b-b98bc0c5ddcd","resolution":{"observed_at":"2026-08-07T00:42:50.962691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.941018Z","title":"Boq: A place is worth a bag of learnable queries","venue":null,"work_id":"4825a36e-2ce4-4209-a45b-8f9b59e09042","year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:45.417463Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:9f80602d99d8ce53c1845a62ba0a5283d6136784f225298ab6b2c1d448cc09bd","observation_id":"7c35f6c4-b19b-4da6-82da-247a6f20e774","resolution":{"observed_at":"2026-08-07T00:42:50.946349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:45.662694Z","title":"Fast and incremental method for loop-closure detection using bags of visual words.IEEE transactions on robotics, 24(5):1027–1037, 2008","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:45.662694Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:6714511b2103ebecde97dc401b5a486f247f26e54f447071e594e43b15fa1b94","observation_id":"0f137c13-b1e9-40c3-a6b0-bfe1f8c233bb","resolution":{"observed_at":"2026-08-07T00:42:45.662694Z","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":"2026-08-07T00:42:50.913728Z","title":"Google street view: Capturing the world at street level.Computer, 43:32–38, 2010","venue":null,"work_id":"7c66192e-44e6-4410-a51b-61a5e9f8bc95","year":2010},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:45.826817Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:2a53e914f2b1f0769922c675fdf17b987886b5853535da303d84e07f80465eff","observation_id":"763a6332-b0fc-42e1-bbd3-3e3c79f7ec81","resolution":{"observed_at":"2026-08-07T00:42:50.918408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.898343Z","title":"Netvlad: Cnn architecture for weakly supervised place recognition","venue":null,"work_id":"919467ee-3001-429d-bd82-c5dcd17b37c6","year":2016},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:45.986015Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:61619404d8542adce02f0744b11f244e26244f533531fad6852e250131f7cfa0","observation_id":"6e33d617-33f6-4605-883e-d80a9ef9dcc4","resolution":{"observed_at":"2026-08-07T00:42:50.902977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.882318Z","title":"Speeded-up robust features (surf).Computer vi- sion and image understanding, 110(3):346–359, 2008","venue":null,"work_id":"31a56ad4-6b0c-4b7b-9b08-434302f5430c","year":2008},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:46.217505Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:b58b7320bfd0a16423b796956a2b04712d9102378983a29b67dbdbe08e54368b","observation_id":"969853cb-200a-427e-a457-2a8c61e929f1","resolution":{"observed_at":"2026-08-07T00:42:50.887233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.867425Z","title":"Viewpoint invariant dense matching for vi- sual geolocalization","venue":null,"work_id":"31e7194f-e10c-431c-b1f2-65225a9901f7","year":2021},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:46.468381Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:3db97e5fdee6c82cba0ced21d8c7d4ddf6004e3d88a6e491eb2154c18567aac8","observation_id":"d57c1bc2-fd22-4547-8e67-b6112a3033e8","resolution":{"observed_at":"2026-08-07T00:42:50.871774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.852129Z","title":"Re- thinking visual geo-localization for large-scale applications","venue":null,"work_id":"ae364fa5-fe20-4164-890f-a2d71da43a00","year":2022},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:46.669224Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:3e38ff03b5a3839e9776d19aa983b94522632e44ea7147bcc6329bdda3219315","observation_id":"6d87a75a-0ffd-47a7-9c35-e8487c316eb3","resolution":{"observed_at":"2026-08-07T00:42:50.856558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:46.759186Z","title":"Deep visual geo-localization benchmark","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:46.759186Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:3afb9f0c606b638f8ae9c098bd182a2f8286017fd152e9030f0cdc0fe0160455","observation_id":"417f0983-512b-4122-8625-342154d841b1","resolution":{"observed_at":"2026-08-07T00:42:46.759186Z","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":"2026-08-07T00:42:50.827567Z","title":"Eigenplaces: Training viewpoint robust models for visual place recognition","venue":null,"work_id":"cf8f5b13-7992-4ea4-ad47-d7794962153d","year":2023},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:46.830522Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:150eefe50b0ca201a2f9a0354a76f68230e10c326cca4b4473ecb333e9350c77","observation_id":"a5e08d40-b834-4301-8c2a-b9fe0a690932","resolution":{"observed_at":"2026-08-07T00:42:50.832301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.813336Z","title":"Deep learning features at scale for visual place recognition","venue":null,"work_id":"4e86ad9b-ace3-441e-b15c-0a01efad9b57","year":null},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:46.893612Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:a6f8db0c4d5dc6b55e6bae1e6662735ce6ded8ad0464e715d3a026b57f6bb779","observation_id":"192575f2-06e3-4908-88a7-408fa6183ca9","resolution":{"observed_at":"2026-08-07T00:42:50.817777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:46.993084Z","title":"Fisher vectors: Be- yond bag-of-visual-words image representations","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:46.993084Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:4e3bbb83d5fd797ecee847fe2bcf4430f903896a919df082ee446de7494b5cb0","observation_id":"f390bf2f-baab-4fde-8c16-a647cf58dc5b","resolution":{"observed_at":"2026-08-07T00:42:46.993084Z","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":"2026-08-07T00:42:50.787669Z","title":"Learning to reduce scale differences for large- scale invariant image matching.IEEE Transactions on Cir- cuits and Systems for Video Technology, 2022","venue":null,"work_id":"047ecaed-39cb-4f1b-ba22-11d60d43ff4c","year":2022},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.082646Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:580458088065ad42b0f3f65b68d8f55f6d81529b2553b91d1dfd0d32f3080b5f","observation_id":"8238d572-fdad-4e2c-ba3f-9b4a0fad8b14","resolution":{"observed_at":"2026-08-07T00:42:50.792302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.772441Z","title":"Self-supervising fine-grained region similarities for large-scale image localization","venue":null,"work_id":"620865ec-526d-4290-8265-c9516fb7e8f7","year":2020},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.145783Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:6debd30870f6d405dbe2df546cdaa4eef3cbe51d65798e034677e1f5f53b1ab5","observation_id":"fde3a754-b0fb-4dc4-b9f2-d8a9df7517a5","resolution":{"observed_at":"2026-08-07T00:42:50.777422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.11679","last_updated":"2024-04-16T16:28:42Z","snapshot_observed_at":"2026-07-06T12:21:24.416553Z","submitted_at":"2021-12-22T06:05:02Z","title":"Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition","version":2},"cited_work":{"arxiv_id":"2112.11679","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.11679","snapshot_observed_at":"2026-08-07T00:42:50.305279Z","title":"Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition","venue":"cs.CV","work_id":"df6e5d40-955e-4fbc-a98b-17799bf02c5e","year":2021},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.232032Z"},"links":{"cited_paper":"/paper/2112.11679","citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:cd56d260cc3eb4d3e427f9817e49bce54491acb7ecd30264a73aa8a7b909280d","observation_id":"e7cf497e-8cb5-4824-9f0f-ee696eaba3f9","resolution":{"observed_at":"2026-08-07T00:42:50.310336Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.754964Z","title":"Design space exploration of low-bit quantized neural networks for visual place recogni- tion.IEEE Robotics and Automation Letters, 2024","venue":null,"work_id":"8db244a8-2c0d-477c-9823-6db1d39145da","year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.309271Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:12317c1e2cb0313f90aef6329e8d4fbb1200d1b303a5e5fb5d7c98aabf572d88","observation_id":"621351bf-b913-4fde-9459-2771c3fa4a4d","resolution":{"observed_at":"2026-08-07T00:42:50.760373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.739576Z","title":"Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition","venue":null,"work_id":"57537cc8-f691-46c0-91d6-3d22a7db165b","year":2021},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.380361Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:f0e8f9834be6ea50deaa5f2093f9e2c495037c19ba1791533baf9f5bfb4a31c9","observation_id":"b3548735-2db0-4b4b-b182-9d46f47de671","resolution":{"observed_at":"2026-08-07T00:42:50.744228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-07-06T04:11:24.157003Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-07T00:42:47.487706Z","title":"Distill- ing the knowledge in a neural network.arXiv preprint arXiv:1503.02531, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.487706Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:b29ac59823a3983e4ba6167f445b7d252a9d53aab034081b2f334f4536c1a66a","observation_id":"741e169b-41da-42b3-8133-2374ff5610e6","resolution":{"observed_at":"2026-08-07T00:42:47.487706Z","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":"2026-08-07T00:42:50.725229Z","title":"Bocnf: efficient im- age matching with bag of convnet features for scalable and robust visual place recognition.Autonomous Robots, page 1169–1185, 2018","venue":null,"work_id":"c8aff42a-e3ed-4620-99c1-300b1be38626","year":2018},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.547656Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:a31b5c8c1744f5f25555dac0c35bb4fda5236f804304eb2bd04e66f711a88e2b","observation_id":"23dc4235-5ef6-459a-82f4-09dd927e8dd2","resolution":{"observed_at":"2026-08-07T00:42:50.729793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-07T07:43:16.294957Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-07T00:42:47.667954Z","title":"Lora: Low-rank adaptation of large language models.arXiv preprint arXiv:2106.09685, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.667954Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:f1de728a6232b538e78193451b6d326bd3f8dfda4f668b79cf7c08becce60113","observation_id":"30b0697e-096f-41c3-a7a8-275aa4f5421c","resolution":{"observed_at":"2026-08-07T00:42:47.667954Z","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":"2026-08-07T00:42:50.710512Z","title":"Squeeze-and-excitation net- works","venue":null,"work_id":"58c6abed-8dfb-4e10-b49c-13a883a40308","year":2018},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.768863Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:cdeb96d40f4f18b5e5d2eb37d325a2d645833a8a77a9a0411aae2d1a2b2c5901","observation_id":"57857d76-ef2b-4184-89b6-57c3963f849b","resolution":{"observed_at":"2026-08-07T00:42:50.715109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.695928Z","title":"Optimal transport ag- gregation for visual place recognition","venue":null,"work_id":"9ba878b3-b064-4181-aa99-4f3fc4f04729","year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.880685Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:ece90990a0303c7c5a6973db29408e665c220da0c6d25d1dcb3bbecdcffbc193","observation_id":"43fc980d-1be8-4152-933e-2a5a6133e63f","resolution":{"observed_at":"2026-08-07T00:42:50.700397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02422","last_updated":"2024-07-02T16:49:01Z","snapshot_observed_at":"2026-08-08T20:42:12.766070Z","submitted_at":"2024-07-02T16:49:01Z","title":"Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition","version":1},"cited_work":{"arxiv_id":"2407.02422","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.02422","snapshot_observed_at":"2026-08-07T00:42:50.250594Z","title":"Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition","venue":"cs.CV","work_id":"f0011d33-6184-45bd-a46d-527cab0bfe00","year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:47.976588Z"},"links":{"cited_paper":"/paper/2407.02422","citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:817b5e8ccaca2f9048549b10c46de9bedc7ad70660511e743481ba47fdcfdbfa","observation_id":"43db45d5-b02e-4779-a753-4ccb33e952d3","resolution":{"observed_at":"2026-08-07T00:42:50.256617Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:48.038344Z","title":"Aggregating local descriptors into a compact image representation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.038344Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:80d16a442560791f5ee1bdb0b821f054c1fd76510679b2d7688384b05630d152","observation_id":"efd4753c-b67a-4dfd-897b-33cde0e1f192","resolution":{"observed_at":"2026-08-07T00:42:48.038344Z","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":"2026-08-07T00:42:50.668301Z","title":"Anyloc: Towards universal vi- sual place recognition.IEEE Robotics and Automation Let- ters, 2023","venue":null,"work_id":"ac8e1a82-8076-49c5-99fc-ee9149adefab","year":2023},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.114292Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:eddc769dba7570c477627a34ed8a675d6d84cf183b34f8e10d37469a4d343872","observation_id":"763ea514-e461-42d9-8047-9bb5a62b1be5","resolution":{"observed_at":"2026-08-07T00:42:50.672974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.654155Z","title":"Segment any- thing","venue":null,"work_id":"2268608d-a8b4-44f5-8748-2200f6092cad","year":2023},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.256892Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:35ee45598097981446cc55aef67a1681b511448bab46f7a0b1dccc3929a98e88","observation_id":"b3a623b2-57a3-4b08-ab8f-58ef14ac3a0b","resolution":{"observed_at":"2026-08-07T00:42:50.658436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.640031Z","title":"LightGlue: Local Feature Matching at Light Speed","venue":null,"work_id":"0547565a-01a3-4c92-86c4-e075193ba0e1","year":2023},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.320269Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:9af09ad97a2d01a5c9cb75408d3bd157145343e79ebab2fa48004e3df3aaac69","observation_id":"d2e85645-59a7-47c0-b224-8b2593a421aa","resolution":{"observed_at":"2026-08-07T00:42:50.644459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.625587Z","title":"A flexible and efficient loop closure detection based on motion knowledge","venue":null,"work_id":"277afb7e-9c9e-49af-ae95-c80d808e0c3c","year":2021},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.395586Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:dbaff2ce199c444356de9fe5be11f068678c3ab72ef526de9c5681f5de09ca42","observation_id":"6a3c002f-8a38-4cf5-923d-02b088f8f00e","resolution":{"observed_at":"2026-08-07T00:42:50.630091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.610818Z","title":"Npr: Nocturnal place recognition us- ing nighttime translation in large-scale training procedures","venue":null,"work_id":"b7711f83-6961-4445-bcb1-443fc5e3bdfa","year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.483247Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:04f465e08596ceaaf6084158c4738af7ffcb83bc87e99cfae594ea43dd5bff36","observation_id":"0a7dcfac-f7a1-44c8-aeeb-8de8ba2f20cb","resolution":{"observed_at":"2026-08-07T00:42:50.615459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:48.564560Z","title":"Distinctive image features from scale- invariant keypoints.International journal of computer vi- sion, 60:91–110, 2004","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.564560Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:9e6279be3c8f6cd1a4941e6869331b00b9f240f7f2c14de477cdd91887a01a66","observation_id":"c6733b73-9672-42af-9c0e-2e7a33406db1","resolution":{"observed_at":"2026-08-07T00:42:48.564560Z","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":"2026-08-07T00:42:50.585641Z","title":"Visual place recognition: A survey.ieee transactions on robotics, 32:1–19, 2015","venue":null,"work_id":"b2920324-cb30-41ae-9ae0-2482cf2e2f2b","year":2015},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.630982Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:862b8769d6ee8296f8f7b22ba61024a11e715e06bda1196b0b1242d49a3963f1","observation_id":"543716b8-33be-477f-928b-f539ef23d5f2","resolution":{"observed_at":"2026-08-07T00:42:50.590703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.570570Z","title":"Cricavpr: Cross-image correlation-aware representation learning for visual place recognition","venue":null,"work_id":"98c6160f-60fe-4d21-8d52-55b0d1ec5c6e","year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.711383Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:52bc91889f1551eb3a26bf753bf603ee3f298ac2083a3414ac018d3472a02db3","observation_id":"4b541014-5738-4672-9d14-2e88fda6ac9d","resolution":{"observed_at":"2026-08-07T00:42:50.575083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-10T09:57:54.924645Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-08-07T00:42:48.798998Z","title":"Towards seamless adapta- tion of pre-trained models for visual place recognition.arXiv preprint arXiv:2402.14505, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.798998Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:c26b5c4a4a7008741c043249f1a0b79f27745a159c80ee55a91e7630523ad789","observation_id":"c0dc21c4-2409-47b6-8669-b56c27ecda59","resolution":{"observed_at":"2026-08-07T00:42:48.798998Z","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":"2026-08-07T00:42:48.864516Z","title":"Seqslam: Visual route-based navigation for sunny summer days and stormy winter nights","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.864516Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:9498bbcd88e50a086068afc70bc039277a87a5e6995ecb02709bde585976ec63","observation_id":"16afaccf-a5c4-427a-9789-d22110c85333","resolution":{"observed_at":"2026-08-07T00:42:48.864516Z","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":"2026-08-07T00:42:48.938671Z","title":"Dinov2: Learning robust visual features without super- vision.Transactions on Machine Learning Research, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.938671Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:645b1beadc44f6bca5e4f49f033685e8af278d4db43ca1f522532b020fc06038","observation_id":"41bc8c32-0761-4c98-9e42-0e1dc1593842","resolution":{"observed_at":"2026-08-07T00:42:48.938671Z","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":"2026-08-07T00:42:50.535334Z","title":"At- tentional pyramid pooling of salient visual residuals for place recognition","venue":null,"work_id":"da114af3-ea9a-41e1-8421-31cd898c1cef","year":2021},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:49.000355Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:1a0bb5add64339b7ca283360c8a4f527941bdb63e09ef237878813521d6f7cb4","observation_id":"3515f1ef-173f-4c11-be8f-f9a7ba8584c0","resolution":{"observed_at":"2026-08-07T00:42:50.540553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.520538Z","title":"Fine- tuning cnn image retrieval with no human annotation.IEEE transactions on pattern analysis and machine intelligence, 41(7):1655–1668, 2018","venue":null,"work_id":"745edf82-9ece-4e68-97b5-8e6a534cb2e6","year":2018},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:49.072273Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:4837c5ecc8ed87eab4c888b5073b55e086cf14c8500998f6598c68a328e6a3c4","observation_id":"cb32bd3e-2538-41a9-b8bc-8b1719403007","resolution":{"observed_at":"2026-08-07T00:42:50.525509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:49.172259Z","title":"Orb: An efficient alternative to sift or surf","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:49.172259Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:fd299166dfc26bcfe986bb31f1cbb9a08a8cafa898220ea4f42214020f7d1a7b","observation_id":"4881dd52-16df-4768-9454-7a9044ba7112","resolution":{"observed_at":"2026-08-07T00:42:49.172259Z","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":"2026-08-07T00:42:49.319542Z","title":"Superglue: Learning feature matching with graph neural networks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:49.319542Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:56b5a8d203ceb06af19afc914d11888dbdeacb88dcddf01ebe381a7868a42ab9","observation_id":"4ac099ec-9876-4366-87c5-ef882eba6bf1","resolution":{"observed_at":"2026-08-07T00:42:49.319542Z","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":"2026-08-07T00:42:50.486056Z","title":"Benchmarking 6dof outdoor visual localization in changing conditions","venue":null,"work_id":"82f4b6b9-493a-4bec-82d2-0b0cf829ff4a","year":2018},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:49.423565Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:56756b0fc15e41deebdf081f07cde3c9ad9934f77aca6903f03f3fea3e225445","observation_id":"2a5790da-df23-4e62-bca8-b7ce1c4c5e75","resolution":{"observed_at":"2026-08-07T00:42:50.490510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:49.542134Z","title":"Are we there yet? challenging seqslam on a 3000 km journey across all four seasons","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:49.542134Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:6d301ececc54ea7e221ee2858ca01c3712cb69857e4cae68517c369e6ab2dbcd","observation_id":"cba24d1d-2f8d-476d-9e0a-97ec323413c3","resolution":{"observed_at":"2026-08-07T00:42:49.542134Z","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":"2026-08-07T00:42:49.694848Z","title":"Long-term visual localization revisited.IEEE Transactions on Pattern Analy- sis and Machine Intelligence, 44:2074–2088, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:49.694848Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:802dd676888187e48c6202649006df773dbdf2575365ce6b7c9bc0ba3e7abe59","observation_id":"30c23c4c-3a5b-407d-a427-630d7d5d85da","resolution":{"observed_at":"2026-08-07T00:42:49.694848Z","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":"2026-08-07T00:42:50.450690Z","title":"Visual place recognition with repetitive structures","venue":null,"work_id":"e9cf6a71-e94d-4120-bd6f-6a5c2094d8bd","year":2015},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:49.820576Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:c96aa81d62c30f0badfd269f050bb5cc5ae6b3290c131aadf7b693be9bf8ad0e","observation_id":"13fbdff3-1e3f-43d6-9d88-371a636648c2","resolution":{"observed_at":"2026-08-07T00:42:50.455186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.436209Z","title":"24/7 place recognition by view synthesis.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, page 14, 2017","venue":null,"work_id":"6c894be1-06eb-45c3-998a-bcc80a14ecb2","year":2017},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:49.854467Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:7fd1ebd630c4c5c4d1808312c3e641afc329fe91ca04845a9c17fc0393402830","observation_id":"efacee08-18f8-4ff0-ab4f-a02d0a096d17","resolution":{"observed_at":"2026-08-07T00:42:50.440435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:49.984744Z","title":"Ef- fovpr: Effective foundation model utilization for visual place recognition.arXiv preprint arXiv:2405.18065, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:49.984744Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:e14eaf7f53d97709bcdd17ca58c1f19b84a1e5c1105e791417308a22697b2ad9","observation_id":"0c2b572d-3686-4b03-8308-72f02bc768c6","resolution":{"observed_at":"2026-08-07T00:42:49.984744Z","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":"2026-08-07T00:42:50.422030Z","title":"Transvpr: Transformer-based place recognition with multi-level attention aggregation","venue":null,"work_id":"5ac00ead-3e50-4a34-95ba-1f18793730af","year":2022},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:50.003424Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:43ee5044cc89af07d70e7d6c20d21f3b87fc339ae7432107d85cee8dac5d6fe1","observation_id":"f0ccc697-febc-472a-98ca-767aad325396","resolution":{"observed_at":"2026-08-07T00:42:50.426429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.408625Z","title":"Dust3r: Geometric 3d vi- sion made easy","venue":null,"work_id":"538d2d38-c51a-4589-8006-ba37b247ce8c","year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:50.008176Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:a5ad51d623815f1f674a01674834d80fefee8307cf3eb055943c8943720d0feb","observation_id":"26b0c800-a975-4f70-a5be-d96c3d9d45da","resolution":{"observed_at":"2026-08-07T00:42:50.412731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.394093Z","title":"Multi-similarity loss with general pair weighting for deep metric learning","venue":null,"work_id":"2cc3c45f-320f-4ef6-b0b4-972339dfac82","year":2019},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:50.012772Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:2a63e3fd03454c37f8cd98680b25898db4efb0b181d521a645171493c552e365","observation_id":"79284974-a379-44bd-a5a8-dcd173463a1f","resolution":{"observed_at":"2026-08-07T00:42:50.399025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.379720Z","title":"Mapillary street-level sequences: A dataset for lifelong place recognition","venue":null,"work_id":"f96e7ba1-b150-4bfb-81d1-29ae035e481f","year":2020},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:50.017563Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:804e934904bd9ab1cfcd4e1a09c1f6f6aa435cea399874d5cf10e00585189167","observation_id":"97de3895-ae85-4860-994e-2f0da135b562","resolution":{"observed_at":"2026-08-07T00:42:50.384386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.022145Z","title":"Cbam: Convolutional block attention module","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:50.022145Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:af8b9b5ae9d8bcb8d32f6b4856091b5d602f3372b9ffa6115b4dd738c5cf8287","observation_id":"c3f56666-e76e-4248-9565-e4dcc1ee57fb","resolution":{"observed_at":"2026-08-07T00:42:50.022145Z","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":"2026-08-07T00:42:50.027197Z","title":"Asymmetric feature fusion for image retrieval","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:50.027197Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:443fff4e9d2aa8a4522f558b5bcfa3778e7bef191566c983ae6153a344b08616","observation_id":"0b38ef60-9dda-4bbe-99f1-e83dad9ab830","resolution":{"observed_at":"2026-08-07T00:42:50.027197Z","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":"2026-08-07T00:42:50.031834Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:50.031834Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:28c5defdddcdec10d28fe79cb6413c2767dbd6eb2558740536b822d03064623a","observation_id":"27608605-9f7a-48f1-954f-c7fa98a8e4f6","resolution":{"observed_at":"2026-08-07T00:42:50.031834Z","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":"2026-08-07T00:42:50.335635Z","title":"Amstertime: A visual place recognition benchmark dataset for severe domain shift","venue":null,"work_id":"401fe7af-43f8-40d7-a63b-083404d0c160","year":2022},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:50.036080Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:d79f2ddf6e29b7a464f88f3fa55a26d2683fc03dc229a718451019f23725263e","observation_id":"ee74bd9d-923d-41d3-92ef-ca4fd4b3c38c","resolution":{"observed_at":"2026-08-07T00:42:50.340098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T00:42:50.320615Z","title":"R2former: Unified retrieval and reranking transformer for place recognition","venue":null,"work_id":"cb799bd1-b1ed-4d7c-ab8d-8aa7eb2b649e","year":2023},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:50.040158Z"},"links":{"citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:b10c45b7c157f559ef19fe48cd186ff41d67e4ba12a7b191dbedab60a1c11843","observation_id":"ff177e3f-e3f5-40a2-8502-287c80bc76c3","resolution":{"observed_at":"2026-08-07T00:42:50.325477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T06:23:37.047160Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":2,"verified_fuzzy":35},"total_outbound_references":55},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2506.13073."}