{"as_of":"2026-08-10T14:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3789e074e6feb32a9226af4a6e340147e2ac49db1e1fed40a262b3596968a8ed","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T11:46:23.082966Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-20T22:03:47.203912Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.09672","last_updated":"2022-02-21T10:12:06Z","snapshot_observed_at":"2026-08-04T15:44:52.552034Z","submitted_at":"2021-06-17T17:23:59Z","title":"The 2021 Image Similarity Dataset and Challenge","version":4},"cited_work":{"arxiv_id":"2106.09672","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.09672","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The 2021 image similarity dataset and challenge","venue":null,"work_id":"a6e57df7-786a-41f6-af4b-6c6984a73398","year":2021},"citing_paper":{"arxiv_id":"2309.16588","last_updated":"2024-04-12T09:38:33Z","snapshot_observed_at":"2026-08-07T09:40:32.614733Z","submitted_at":"2023-09-28T16:45:46Z","title":"Vision Transformers Need Registers","version":2},"reference_index":239,"source":"arxiv_source","source_observed_at":"2026-05-13T09:41:37.937046Z"},"links":{"cited_paper":"/paper/2106.09672","citing_paper":"/paper/2309.16588"},"observation_digest":"sha256:1da98714fe792571aa24ca2485c72d767bee228a6967139a0c2b3d64fcd4a657","observation_id":"a3031aa9-41cd-4a9f-b8a3-8e98e53fa266","resolution":{"observed_at":"2026-05-13T09:41:38.104586Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2106.09672","last_updated":"2022-02-21T10:12:06Z","snapshot_observed_at":"2026-08-04T15:44:52.552034Z","submitted_at":"2021-06-17T17:23:59Z","title":"The 2021 Image Similarity Dataset and Challenge","version":4},"cited_work":{"arxiv_id":"2106.09672","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.09672","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The 2021 image similarity dataset and challenge","venue":null,"work_id":"a6e57df7-786a-41f6-af4b-6c6984a73398","year":2021},"citing_paper":{"arxiv_id":"2401.08281","last_updated":"2025-10-23T09:36:08Z","snapshot_observed_at":"2026-07-31T05:45:37.385210Z","submitted_at":"2024-01-16T11:12:36Z","title":"The Faiss library","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-12T01:47:19.947054Z"},"links":{"cited_paper":"/paper/2106.09672","citing_paper":"/paper/2401.08281"},"observation_digest":"sha256:659d6699e085aad1407c86c23c2c5ec1520aa2ee933b4743b3b8f232c428a1e2","observation_id":"ffbd5809-265d-46aa-9f5f-21df1a14f8ef","resolution":{"observed_at":"2026-05-12T01:47:20.080572Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2106.09672","last_updated":"2022-02-21T10:12:06Z","snapshot_observed_at":"2026-08-04T15:44:52.552034Z","submitted_at":"2021-06-17T17:23:59Z","title":"The 2021 Image Similarity Dataset and Challenge","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09672","snapshot_observed_at":"2026-08-09T11:46:23.082966Z","title":"The 2021 image similarity dataset and challenge.arXiv preprint arXiv:2106.09672, 2021a","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05215","last_updated":"2025-02-04T18:49:50Z","snapshot_observed_at":"2026-08-10T03:37:33.643048Z","submitted_at":"2025-02-04T18:49:50Z","title":"Watermarking across Modalities for Content Tracing and Generative AI","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-09T11:46:23.082966Z"},"links":{"cited_paper":"/paper/2106.09672","citing_paper":"/paper/2502.05215"},"observation_digest":"sha256:b96fdd63ae685d663a64015f62d48c9ca7113b7f9dc166321dfd1435c420e558","observation_id":"8a970900-4a3f-4af4-b1e8-96d6986b1fea","resolution":{"observed_at":"2026-08-09T11:46:23.082966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09672","last_updated":"2022-02-21T10:12:06Z","snapshot_observed_at":"2026-08-04T15:44:52.552034Z","submitted_at":"2021-06-17T17:23:59Z","title":"The 2021 Image Similarity Dataset and Challenge","version":4},"cited_work":{"arxiv_id":"2106.09672","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.09672","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The 2021 image similarity dataset and challenge","venue":null,"work_id":"a6e57df7-786a-41f6-af4b-6c6984a73398","year":2021},"citing_paper":{"arxiv_id":"2604.21786","last_updated":"2026-04-23T15:44:14Z","snapshot_observed_at":"2026-08-02T05:18:17.302508Z","submitted_at":"2026-04-23T15:44:14Z","title":"From Codebooks to VLMs: Evaluating Automated Visual Discourse Analysis for Climate Change on Social Media","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-05-09T22:55:33.247678Z"},"links":{"cited_paper":"/paper/2106.09672","citing_paper":"/paper/2604.21786"},"observation_digest":"sha256:05b0e1fee6868e684fb722cbe18e4f4ec1a50a513ccadb3c9589178eb2b3d7df","observation_id":"4b2773bb-34f8-407c-97ee-924f481a5425","resolution":{"observed_at":"2026-05-11T14:16:06.809295Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2106.09672","last_updated":"2022-02-21T10:12:06Z","snapshot_observed_at":"2026-08-04T15:44:52.552034Z","submitted_at":"2021-06-17T17:23:59Z","title":"The 2021 Image Similarity Dataset and Challenge","version":4},"cited_work":{"arxiv_id":"2106.09672","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.09672","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The 2021 image similarity dataset and challenge","venue":null,"work_id":"a6e57df7-786a-41f6-af4b-6c6984a73398","year":2021},"citing_paper":{"arxiv_id":"2605.13193","last_updated":"2026-05-19T13:19:30Z","snapshot_observed_at":"2026-08-02T12:32:32.711675Z","submitted_at":"2026-05-13T08:49:51Z","title":"FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-14T20:25:36.746335Z"},"links":{"cited_paper":"/paper/2106.09672","citing_paper":"/paper/2605.13193"},"observation_digest":"sha256:8d22478e1e8935abb6349ce82bc6e2b753f4cfaba899f65d25b4e3d4aea7f259","observation_id":"d3fe5e6c-ad8f-4494-a60d-83879ff9bccb","resolution":{"observed_at":"2026-05-14T20:42:58.662238Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2106.09672","last_updated":"2022-02-21T10:12:06Z","snapshot_observed_at":"2026-08-04T15:44:52.552034Z","submitted_at":"2021-06-17T17:23:59Z","title":"The 2021 Image Similarity Dataset and Challenge","version":4},"cited_work":{"arxiv_id":"2106.09672","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.09672","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The 2021 image similarity dataset and challenge","venue":null,"work_id":"a6e57df7-786a-41f6-af4b-6c6984a73398","year":2021},"citing_paper":{"arxiv_id":"2605.13193","last_updated":"2026-05-19T13:19:30Z","snapshot_observed_at":"2026-08-02T12:32:32.711675Z","submitted_at":"2026-05-13T08:49:51Z","title":"FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-20T22:02:19.717335Z"},"links":{"cited_paper":"/paper/2106.09672","citing_paper":"/paper/2605.13193"},"observation_digest":"sha256:747e0f36fec7af3966902f2c24b8e60820397f920b5f9eaa93ea8104550ab9b0","observation_id":"3b1f1462-89a4-429b-8d74-74cd935838b8","resolution":{"observed_at":"2026-05-20T22:03:47.207346Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2106.09672/citation-record","integrity":"/paper/2106.09672/integrity","json":"/paper/2106.09672/citation-record.json","paper":"/paper/2106.09672"},"outbound":[],"paper":{"arxiv_id":"2106.09672","last_updated":"2022-02-21T10:12:06Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T15:44:52.552034Z","submitted_at":"2021-06-17T17:23:59Z","title":"The 2021 Image Similarity Dataset and Challenge"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2106.09672."}