{"as_of":"2026-08-08T18:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:567b5546645c056cddba10dbb466d855d66909007ceeae3b506357beca7010d4","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T10:23:04.607481Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2502.08134/citation-record","integrity":"/paper/2502.08134/integrity","json":"/paper/2502.08134/citation-record.json","paper":"/paper/2502.08134"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:23:05.486158Z","title":"Flamingo: a visual language model for few-shot learning","venue":null,"work_id":"cdf5bff2-929a-40de-995d-cf083fa3d3fa","year":2022},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.259070Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:bce549256596b4263a65613052bc3f2331e4ff93f4fa41be1bb3e1e8a66227c1","observation_id":"4cb53e91-2da1-4028-b7a9-5aa5878fefe8","resolution":{"observed_at":"2026-08-08T10:23:05.490748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.440417Z","title":"Learning from positive and unlabeled data: A survey","venue":null,"work_id":"f78c960b-232d-40f0-a4f8-7ec19e009af1","year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.284230Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:dc2609b7b68178a0b0d237a865dc084c230ca78cc251258f071eeff9acbba521","observation_id":"c177716c-7e15-49c7-a7c9-b76a4e055a5e","resolution":{"observed_at":"2026-08-08T10:23:05.445144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.424677Z","title":"Unsupervised learning of visual features by con- trasting cluster assignments","venue":null,"work_id":"ef6cdd11-5a12-42b3-acb4-996db3cc1729","year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.296612Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:3fb3331ee080212c472fdfa3fd97e2cf48f69cdc9077f595d74d0ce19d6c9a70","observation_id":"e1a0522f-d299-4f97-b3aa-cc65a4dadc22","resolution":{"observed_at":"2026-08-08T10:23:05.429414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.410775Z","title":"Emerging properties in self-supervised vi- sion transformers","venue":null,"work_id":"cda72c1b-1fe6-44af-8393-31ab729f40ec","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.319066Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:52a07fdc4e9f57bdfa69346b8329f1ca3980b327f5022dc68f41ff62ea087ae8","observation_id":"4e4e37b9-20f0-43ca-84c8-76fcd0ca3392","resolution":{"observed_at":"2026-08-08T10:23:05.415673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.395646Z","title":"Chen and K","venue":null,"work_id":"cc29d96a-fb55-4ca7-9f50-7b1bc666988c","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.338521Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:b860e92c8cb70c8973d2a88886032421b28d40454509007e18c992e681a13ff6","observation_id":"1c307a30-4013-4501-a389-f712677a7d0d","resolution":{"observed_at":"2026-08-08T10:23:05.400442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.381005Z","title":null,"venue":null,"work_id":"89ec9670-d2e7-463e-9a60-265fc82c61e9","year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.378070Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:8b9f7e18ea13573114aab897600d20264427ce69598adef33e4fae9608935a60","observation_id":"e23694d7-a817-4135-ae12-edfc0c461700","resolution":{"observed_at":"2026-08-08T10:23:05.385620Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.03719","last_updated":"2022-03-16T07:51:00Z","snapshot_observed_at":"2026-07-06T11:16:46.852207Z","submitted_at":"2021-06-07T15:29:14Z","title":"Incremental False Negative Detection for Contrastive Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.03719","snapshot_observed_at":"2026-08-08T10:23:04.399018Z","title":"Incremental false negative detection for contrastive learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.399018Z"},"links":{"cited_paper":"/paper/2106.03719","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:2a4fc858c7c491ff0a97aa2c42e3a633442fb33fa837fc5199e2169aa9aa5521","observation_id":"600d7c43-d3c9-4691-80a2-4c843da92ed3","resolution":{"observed_at":"2026-08-08T10:23:04.399018Z","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":"2026-08-08T10:23:05.366658Z","title":"Debiased contrastive learning","venue":null,"work_id":"de0951e3-f934-488c-923a-76c5c0aa2604","year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.404173Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:9b11dad3e9c217dc1d71e61ef6c8ecdd49ad4a35853abffa2a292809b93fed23","observation_id":"19cf49f4-a89e-4493-afc5-b4d0baf31beb","resolution":{"observed_at":"2026-08-08T10:23:05.371110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17777","last_updated":"2025-03-21T10:51:22Z","snapshot_observed_at":"2026-08-03T04:15:44.371388Z","submitted_at":"2024-07-25T05:10:48Z","title":"Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17777","snapshot_observed_at":"2026-08-08T10:23:04.408440Z","title":"Ad- vancing multi-modal sensing through expandable modal- ity alignment","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.408440Z"},"links":{"cited_paper":"/paper/2407.17777","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:803a7dd0a9a3c3273e70503809d3a32cb0b5e67dd20f7feb918924273a57ffe9","observation_id":"6070760e-86e4-49c6-a335-c2c8b9d772c1","resolution":{"observed_at":"2026-08-08T10:23:04.408440Z","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":"2026-08-08T10:23:05.337633Z","title":"Dwibedi, Y","venue":null,"work_id":"55fe96bf-16de-48b9-b325-30a510499737","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.417493Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:cef32536b30e6f0a3f601a28edc6732c8af87af60c6e8c1b3f4b61a6eacb0a07","observation_id":"cd38d452-d233-4baa-bead-2cc85c12a812","resolution":{"observed_at":"2026-08-08T10:23:05.343349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.322468Z","title":"All4one: Symbiotic neighbour contrastive learning via self-attention and re- dundancy reduction","venue":null,"work_id":"98f9b436-caf6-40bc-9d8b-5b0578f96054","year":2023},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.422655Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:447e2669e39867b89ab3ef7fa3c1222300e1a72e063d70b5030f1198c99f54bd","observation_id":"b60360bb-b61e-4b7f-b832-bf8cb6907474","resolution":{"observed_at":"2026-08-08T10:23:05.327586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.04731","last_updated":"2021-04-15T22:16:01Z","snapshot_observed_at":"2026-08-07T12:28:15.300145Z","submitted_at":"2021-01-12T20:04:50Z","title":"SEED: Self-supervised Distillation For Visual Representation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.04731","snapshot_observed_at":"2026-08-08T10:23:04.433242Z","title":"Seed: Self-supervised distillation for visual representation.arXiv preprint arXiv:2101.04731,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.433242Z"},"links":{"cited_paper":"/paper/2101.04731","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:021ec217f8b05568246d58a2c33e21acf1ea5dfd4fd50acfb56381dfc8484f96","observation_id":"83ee3133-a816-4218-9d74-e97ca8827951","resolution":{"observed_at":"2026-08-08T10:23:04.433242Z","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":"2026-08-08T10:23:05.307619Z","title":"Cloob: Modern hopfield networks with in- foloob outperform clip","venue":null,"work_id":"5ecfd5a2-bc94-4299-8abd-018f4bc20ccb","year":2022},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.438653Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:a824ee8c0030f9c3b8191aa398824246e4807df3457af3a5b9670d6fb773e7cf","observation_id":"d478e6d0-2a88-4511-9166-2f9ca2b6c9c6","resolution":{"observed_at":"2026-08-08T10:23:05.312299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.293130Z","title":"Tailoring visual object representations to human requirements: A case study with a recycling robot","venue":null,"work_id":"a74f3a2d-b561-43a0-bbd6-ed37ff235b07","year":2023},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.443496Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:58eede2b3b3ad348bf8383fc429c79e498e40ebe374954ba8f68f380e9eccff2","observation_id":"0dd28a53-4032-4933-877d-41cb1b0135fb","resolution":{"observed_at":"2026-08-08T10:23:05.297999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04969","last_updated":"2025-05-16T13:08:40Z","snapshot_observed_at":"2026-08-01T23:31:26.617125Z","submitted_at":"2024-05-08T11:15:20Z","title":"A Review on Discriminative Self-supervised Learning Methods in Computer Vision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04969","snapshot_observed_at":"2026-08-08T10:23:04.448419Z","title":"A review on discriminative self-supervised learning methods","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.448419Z"},"links":{"cited_paper":"/paper/2405.04969","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:4f64e5b9dcb9c304a661fb52daaf42524f4c4d888c192bb94bda2eb83157c238","observation_id":"e47c81cc-23b0-426d-b37d-cdaa0e829607","resolution":{"observed_at":"2026-08-08T10:23:04.448419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02401","last_updated":"2025-02-17T12:37:09Z","snapshot_observed_at":"2026-08-01T23:31:28.081615Z","submitted_at":"2024-10-03T11:29:09Z","title":"SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learning","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02401","snapshot_observed_at":"2026-08-08T10:23:04.454113Z","title":"Synco: Synthetic hard negatives in contrastive learning for better unsupervised visual representations","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.454113Z"},"links":{"cited_paper":"/paper/2410.02401","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:630803f678ef842eb985ba6448ff8e36f95ee961c79c31b2c50fc77693aca77b","observation_id":"faadbf7a-cc3a-4c8b-9bd0-441c34090dad","resolution":{"observed_at":"2026-08-08T10:23:04.454113Z","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":"2026-08-08T10:23:05.276648Z","title":"Strub, F","venue":null,"work_id":"34bd25b4-0cbf-4c7e-bdf3-29ef05e61217","year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.459697Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:b6c3774858ba4ca48d2ab10875c97b962f000e4e4e83f3781c20287df2040b77","observation_id":"c14c85e6-dedf-4746-a60f-c462e919051d","resolution":{"observed_at":"2026-08-08T10:23:05.282070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.262743Z","title":"A survey on self-supervised learning: Algorithms, applications, and future trends","venue":null,"work_id":"66be95f9-ad0e-445c-9f54-b2cb148018b4","year":2024},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.464830Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:f0e1e0f825eb063f45183639b896be99683f82c2c4ca2ac766b94712f5d8163c","observation_id":"2bc894b8-c7fd-4de6-81b5-ed55f3523f27","resolution":{"observed_at":"2026-08-08T10:23:05.266934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.245638Z","title":"Audioclip: Extending clip to image, text and audio","venue":null,"work_id":"4439894a-7b5e-46f1-8dfa-13aefae5d6c2","year":2022},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.470103Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:75a78bf97659659527c5562c56aa6b5f8e957c32c2f6572510ad76dda38137db","observation_id":"8f24f5ea-686b-45d9-a907-46b96b173a99","resolution":{"observed_at":"2026-08-08T10:23:05.250455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.227719Z","title":"Momentum contrast for unsu- pervised visual representation learning","venue":null,"work_id":"113f6eed-7acb-421b-a468-01b87e7a70e3","year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.475018Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:c0995e0c9e185b6e6f9e3cf5bab580f64accdf4b31b47ae3bec265f5dc326de3","observation_id":"8dc52ab9-7a1b-43d2-8072-03f73026434a","resolution":{"observed_at":"2026-08-08T10:23:05.233192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.211004Z","title":"Adco: Adversarial contrast for efficient learn- ing of unsupervised representations from self-trained neg- ative adversaries","venue":null,"work_id":"88c72aa3-917c-477c-88b8-3812cb84089c","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.479972Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:7334567e42b1522a27c07a21e7a3c2a07aa2bc44d30fb7ab2a2dcbd8efd8d7e0","observation_id":"09b4bd5f-2aa1-411c-8557-678d5dc8d057","resolution":{"observed_at":"2026-08-08T10:23:05.215933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.195097Z","title":"Boosting contrastive self-supervised learning with false negative cancellation","venue":null,"work_id":"39305e38-448a-43e3-9448-93037b26d39b","year":2022},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.484809Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:ec65de5c07a4af1623d72976b72aeb7cbedeae9fd610a36236183920c3a191ba","observation_id":"b21602f2-c365-48be-979d-6e5fe749223b","resolution":{"observed_at":"2026-08-08T10:23:05.199937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.180288Z","title":"A survey on contrastive self-supervised learn- ing","venue":null,"work_id":"7d068832-a4f8-47c4-8838-80d69b1cc08e","year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.489767Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:f45510d9aba62f4531fca3988333b804ae8699e87071a4c6d041800b0da5ff90","observation_id":"ffa0b4bf-9bed-4129-95af-9a40e0e3af7f","resolution":{"observed_at":"2026-08-08T10:23:05.185302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.164098Z","title":"Scaling up visual and vision-language representation learning with noisy text su- pervision","venue":null,"work_id":"50efc479-4522-40ff-aa28-a1b412d85ede","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.494764Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:377e5ed7dd65b40e22d60d9a51d53cd84bffa240cc896361496cb49695ab1c8e","observation_id":"cc2f7910-70a9-40b6-9d14-13412a524ec8","resolution":{"observed_at":"2026-08-08T10:23:05.169065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.148593Z","title":"Kalantidis, M.B","venue":null,"work_id":"1e2f042c-f1f2-43cd-b86d-3be1fddcadb5","year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.499617Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:c4e1e66206587f8c8d0d2b0096f453015c546b0de1b4c865111520616f03bb63","observation_id":"fca23028-0d5d-4a90-ae30-696f1e417e8f","resolution":{"observed_at":"2026-08-08T10:23:05.153830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.133570Z","title":"Supervised con- trastive learning","venue":null,"work_id":"ffc69c42-1279-4f7d-ad39-433c76e9c2db","year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.503756Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:a162d9e6e48a7ee9e7d403a3fce0dd0e9e0364574af45bf43682f7dcf6aa5a7a","observation_id":"22a4b8c5-ace0-48a3-8c40-02ae7db462a8","resolution":{"observed_at":"2026-08-08T10:23:05.138162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.118612Z","title":"Mean shift for self-supervised learning","venue":null,"work_id":"1d955038-d6dc-43cd-96f8-f99869bdad17","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.507715Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:80b20d72557701c4e2ef1fcb55309f39faac1a02dc6c2be705200472d714561b","observation_id":"2623c9d4-46a0-4720-98c2-e44d19b17ea2","resolution":{"observed_at":"2026-08-08T10:23:05.123329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.103471Z","title":"Visualbert: A simple and performant baseline for vision and language","venue":null,"work_id":"77f9441a-7ef4-4728-9fb9-a5962ac35701","year":2019},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.511884Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:073e0246a0bd53c9cdb90b35f981711749bcebe7912883b97e8628ee4b9c003d","observation_id":"02be4643-b3ea-4271-a266-30f7fedfd145","resolution":{"observed_at":"2026-08-08T10:23:05.107780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07179","last_updated":"2023-03-15T00:02:06Z","snapshot_observed_at":"2026-07-06T14:04:51.277045Z","submitted_at":"2022-10-13T17:02:23Z","title":"MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07179","snapshot_observed_at":"2026-08-08T10:23:04.520765Z","title":"Mapl: Parameter-efficient adaptation of uni- modal pre-trained models for vision-language few-shot prompting","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.520765Z"},"links":{"cited_paper":"/paper/2210.07179","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:91cfef096d1753181eacdf1883b5587041c7d407a6447165e68652c33338032c","observation_id":"be712ad4-c128-4312-b948-f4b43a12ce7c","resolution":{"observed_at":"2026-08-08T10:23:04.520765Z","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":"2026-08-08T10:23:05.087129Z","title":"Audio-visual instance discrimination with cross-modal agreement","venue":null,"work_id":"f9bee34e-41a7-4a1c-bfe9-4754a092e9b7","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.525143Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:2218aeee530c5dbb2e7c68b9c8efde8d1b0a316baf041b4419bc3094e70522bc","observation_id":"8b26552c-bac8-4f64-97a3-08131374c1d9","resolution":{"observed_at":"2026-08-08T10:23:05.092672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-07-06T06:49:24.960992Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-08T10:23:04.529882Z","title":"Representation learning with contrastive predic- tive coding","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.529882Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:3af832d0f7d3ad604448987197b818d2a0ce52a9b54cfaaab41c284b3c97a591","observation_id":"21ca9d85-3a2c-42ff-9c61-dcf01819adfc","resolution":{"observed_at":"2026-08-08T10:23:04.529882Z","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":"2026-08-08T10:23:05.051281Z","title":"Focus on the pos- itives: Self-supervised learning for biodiversity monitor- ing","venue":null,"work_id":"795078e2-785b-442a-bd3a-578291605e27","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.538715Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:de23100cf88a7f23687ab3e4039c0238edfcb5c1b2431fe2b91f2439696dc415","observation_id":"07ef0bb9-02bb-4c0a-a490-f0ece3aada10","resolution":{"observed_at":"2026-08-08T10:23:05.057713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.032653Z","title":"Learning transferable visual models from nat- ural language supervision","venue":null,"work_id":"479ed0c4-eedf-439f-bcf2-889d00904912","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.542925Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:b4618d5b7a41650cd49aa5eab67ba7db9d49b1a96a8c7589344dffa8ecd36f96","observation_id":"70be2d9d-ea18-453e-a181-b3047fbab38a","resolution":{"observed_at":"2026-08-08T10:23:05.037956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.04592","last_updated":"2021-01-24T22:19:30Z","snapshot_observed_at":"2026-08-07T09:28:19.837584Z","submitted_at":"2020-10-09T14:18:53Z","title":"Contrastive Learning with Hard Negative Samples","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.04592","snapshot_observed_at":"2026-08-08T10:23:04.547096Z","title":"Contrastive learning with hard negative samples","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.547096Z"},"links":{"cited_paper":"/paper/2010.04592","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:c6cddcac86a3c0fe602b711dc7b2d1a3dc68f4468a42c4f11959a7ef270ec327","observation_id":"d1dcab1d-9e49-4372-8f5a-585927279cc2","resolution":{"observed_at":"2026-08-08T10:23:04.547096Z","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":"2026-08-08T10:23:05.017397Z","title":"Singh, R","venue":null,"work_id":"30281680-407b-4c17-b838-c0fecd89c986","year":2022},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.551580Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:2bd8ef517b1f2ba343223e455932135aad81185ba680ad65fe2b289b11b8c9b6","observation_id":"ca9f57d2-310d-44e5-8f2a-003a600915c3","resolution":{"observed_at":"2026-08-08T10:23:05.022290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.01197","last_updated":"2022-06-02T17:55:15Z","snapshot_observed_at":"2026-08-04T14:26:17.696529Z","submitted_at":"2022-06-02T17:55:15Z","title":"Hard Negative Sampling Strategies for Contrastive Representation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.01197","snapshot_observed_at":"2026-08-08T10:23:04.555794Z","title":"Hard negative sampling strategies for contrastive representation learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.555794Z"},"links":{"cited_paper":"/paper/2206.01197","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:2d1e27c040987a45f4feb4101823b41a05082db3b522f89f80dab4ce2482e526","observation_id":"1f10a3e4-9d7e-4137-b4f9-d979e2c26557","resolution":{"observed_at":"2026-08-08T10:23:04.555794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.07490","last_updated":"2019-12-03T19:30:19Z","snapshot_observed_at":"2026-08-06T03:44:36.669916Z","submitted_at":"2019-08-20T17:05:18Z","title":"LXMERT: Learning Cross-Modality Encoder Representations from Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.07490","snapshot_observed_at":"2026-08-08T10:23:04.560381Z","title":"Lxmert: Learning cross-modality encoder representations from transformers","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.560381Z"},"links":{"cited_paper":"/paper/1908.07490","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:fa52cf47c49faa6364d0ed4863bd482e674f0c44dd4a3b4ff0ab013207e61211","observation_id":"1c6686c7-ab00-4077-a038-34a53b95c176","resolution":{"observed_at":"2026-08-08T10:23:04.560381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18674","last_updated":"2025-05-05T14:25:01Z","snapshot_observed_at":"2026-08-02T23:38:33.570321Z","submitted_at":"2024-11-27T18:50:15Z","title":"Active Data Curation Effectively Distills Large-Scale Multimodal Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18674","snapshot_observed_at":"2026-08-08T10:23:04.565072Z","title":"Udandarao, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.565072Z"},"links":{"cited_paper":"/paper/2411.18674","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:236a178acc26f5325eeb7695b57a284b6b64ce36292fc5b38812702123933e53","observation_id":"96264641-c684-46a1-9575-4714e7249aa3","resolution":{"observed_at":"2026-08-08T10:23:04.565072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.00409","last_updated":"2022-11-01T12:05:12Z","snapshot_observed_at":"2026-08-06T20:01:57.029229Z","submitted_at":"2022-11-01T12:05:12Z","title":"Oracle-guided Contrastive Clustering","version":1},"cited_work":{"arxiv_id":"2211.00409","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.00409","snapshot_observed_at":"2026-08-08T10:23:04.723159Z","title":"Oracle-guided Contrastive Clustering","venue":"cs.CV","work_id":"5059b4e7-3f39-4b1e-b890-5b843b6d1d67","year":2022},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.570481Z"},"links":{"cited_paper":"/paper/2211.00409","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:10da1315637557434029bc55e4b4cd7d15275606759587cfaa51996f48e5248e","observation_id":"f05d9f84-25ca-4d23-8e43-187b4c43bd99","resolution":{"observed_at":"2026-08-08T10:23:04.727989Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.10442","last_updated":"2022-08-31T02:26:45Z","snapshot_observed_at":"2026-07-06T13:44:15.000595Z","submitted_at":"2022-08-22T16:55:04Z","title":"Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.10442","snapshot_observed_at":"2026-08-08T10:23:04.575947Z","title":"Image as a foreign lan- guage: Beit pretraining for all vision and vision-language tasks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.575947Z"},"links":{"cited_paper":"/paper/2208.10442","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:a42d6a9e86924b9c3d391a9b90b80a3b905a312469bcea4cc2c52e9c52ca641d","observation_id":"62236bac-9bc6-4c41-8c8e-7df05f734b34","resolution":{"observed_at":"2026-08-08T10:23:04.575947Z","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":"2026-08-08T10:23:05.000509Z","title":"Wav2clip: Learning robust audio representations from clip","venue":null,"work_id":"cc797280-63e0-424a-95c2-10aed3801b0a","year":2022},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.581785Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:1fbd66f276eea63bdbafe4e1af472ea4a14c66fa55aa55d2399fe6ed1ecda678","observation_id":"5c109da4-bb10-48bc-8598-75e35fcaeda9","resolution":{"observed_at":"2026-08-08T10:23:05.005956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:04.985224Z","title":"Cit: Curation in training for effective vision-language data","venue":null,"work_id":"bd474314-30eb-4469-9857-746d239dcc6f","year":2023},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.587112Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:3a39d4f3b2745674a4d336cad3abc4ffbcd044e6ae413eaef9dd9e2d0bcf54a7","observation_id":"35acb34f-923d-4a8f-9198-fee5edfad575","resolution":{"observed_at":"2026-08-08T10:23:04.989918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13050","last_updated":"2023-05-22T14:02:44Z","snapshot_observed_at":"2026-07-06T15:30:42.173342Z","submitted_at":"2023-05-22T14:02:44Z","title":"AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13050","snapshot_observed_at":"2026-08-08T10:23:04.592103Z","title":"Audiotoken: Adaptation of text- conditioned diffusion models for audio-to-image genera- tion","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.592103Z"},"links":{"cited_paper":"/paper/2305.13050","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:1660f13f289d2e6c1b2fec048c6c76c91e9e07b5113233feaa1c8e6db9e7ea7f","observation_id":"c5185103-8fa3-4d97-9762-bd3100ab15c9","resolution":{"observed_at":"2026-08-08T10:23:04.592103Z","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":"2026-08-08T10:23:04.961414Z","title":"Zbontar, L","venue":null,"work_id":"ecc83689-36a4-442e-845b-89a89564a247","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.597272Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:438a669d968636d8d1355af1bfbc57d82631793e03ffefeef2d202989fdba45c","observation_id":"44d13dff-dc0a-4d94-944a-b020c624d468","resolution":{"observed_at":"2026-08-08T10:23:04.965953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16965","last_updated":"2025-04-24T16:00:27Z","snapshot_observed_at":"2026-08-05T22:08:30.450143Z","submitted_at":"2024-08-30T01:47:43Z","title":"Contrastive Learning with Synthetic Positives","version":2},"cited_work":{"arxiv_id":"2408.16965","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.16965","snapshot_observed_at":"2026-08-08T10:23:04.669936Z","title":"Contrastive Learning with Synthetic Positives","venue":"cs.CV","work_id":"8ac01336-e1e2-49a1-8dca-8d6ece8996c2","year":2024},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.602038Z"},"links":{"cited_paper":"/paper/2408.16965","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:24eafe91234188ab34172a32b512ad1bcf3ded13d3cab0fabe0682b44a2e293e","observation_id":"e4cb73bb-3581-4dee-ad78-033ef378d866","resolution":{"observed_at":"2026-08-08T10:23:04.675285Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.00285","last_updated":"2021-04-13T06:04:48Z","snapshot_observed_at":"2026-07-06T10:55:35.273705Z","submitted_at":"2021-04-01T06:42:16Z","title":"CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning","version":2},"cited_work":{"arxiv_id":"2104.00285","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.00285","snapshot_observed_at":"2026-08-08T10:23:04.645371Z","title":"CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning","venue":"cs.CV","work_id":"9eaac5f1-ad84-4934-abcf-a4037b820e11","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.607481Z"},"links":{"cited_paper":"/paper/2104.00285","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:0ace782bd11fe6af43c4a6d90cce86da643fa7e9c40210aabff08528eacb8d83","observation_id":"289b3c40-7856-49f6-b119-7aea62b9c085","resolution":{"observed_at":"2026-08-08T10:23:04.652743Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T10:23:05.069835Z","title":"Panambur, D","venue":null,"work_id":"b2893204-a1f0-4960-9619-baee88cb7c73","year":2022},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.534308Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:7840e76dbffa46d49b4515500952d05f953fb8f3f38aff4a3721f17cbd32633c","observation_id":"33bf7019-3497-400f-8ce4-25b8f40e2709","resolution":{"observed_at":"2026-08-08T10:23:05.075801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.03557","last_updated":"2019-08-09T17:57:13Z","snapshot_observed_at":"2026-08-07T01:39:40.489262Z","submitted_at":"2019-08-09T17:57:13Z","title":"VisualBERT: A Simple and Performant Baseline for Vision and Language","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.03557","snapshot_observed_at":"2026-08-08T10:23:04.516007Z","title":null,"venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.516007Z"},"links":{"cited_paper":"/paper/1908.03557","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:79b640c81f50a25cbac4db6ac43eccaec008aa56dc57a60699b804e0b2e224d7","observation_id":"4f3fc023-6ae2-4daf-85a9-104506da154e","resolution":{"observed_at":"2026-08-08T10:23:04.516007Z","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":"2026-08-08T10:23:05.455092Z","title":"Geography-aware self-supervised learn- ing","venue":null,"work_id":"764ae3fb-ab2a-4b27-8689-7a203c9ffe22","year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.268749Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:499c4e26e64b4006564901307cc05fbd750efa37f914d3bb51094939a18df12b","observation_id":"a4bf7c2d-ad5d-4175-92b1-a6f72fde8371","resolution":{"observed_at":"2026-08-08T10:23:05.460046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.04906","last_updated":"2022-01-28T12:23:37Z","snapshot_observed_at":"2026-07-06T11:08:17.373935Z","submitted_at":"2021-05-11T09:53:21Z","title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.04906","snapshot_observed_at":"2026-08-08T10:23:04.273510Z","title":"Vicreg: Variance-invariance-covariance regu- larization for self-supervised learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.273510Z"},"links":{"cited_paper":"/paper/2105.04906","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:148cac595fd735396e8c4c6cfab486089a45fd916bf8c1f3f16af233f575ef56","observation_id":"de730814-94a5-46db-9453-e0f57dea10da","resolution":{"observed_at":"2026-08-08T10:23:04.273510Z","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":"2026-08-08T10:23:05.470726Z","title":"Self-supervised learning by cross-modal audio- video clustering","venue":null,"work_id":"9e30e35e-fb69-430b-95c5-a56ab8549455","year":2020},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.264198Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:e9065516b6df3bba6bbdf8620ad08792e5f549debd994d0a21d4e883fa875236","observation_id":"a767d824-e7dc-410d-975e-7c112a13e6fa","resolution":{"observed_at":"2026-08-08T10:23:05.475777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17711","last_updated":"2024-06-25T16:52:37Z","snapshot_observed_at":"2026-08-05T02:12:14.689856Z","submitted_at":"2024-06-25T16:52:37Z","title":"Data curation via joint example selection further accelerates multimodal learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17711","snapshot_observed_at":"2026-08-08T10:23:04.427693Z","title":"Data curation via joint example selection further accelerates multimodal learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.427693Z"},"links":{"cited_paper":"/paper/2406.17711","citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:b301f0fefb96623ee36a493a2ec45512f673fb8e691d2e2f5b0cc18212534022","observation_id":"4438d27e-ed02-4fe2-a7fb-c2020c5219f3","resolution":{"observed_at":"2026-08-08T10:23:04.427693Z","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":"2026-08-08T10:23:05.352623Z","title":"Synthetic hard negative samples for contrastive learning","venue":null,"work_id":"ed530ae0-9128-4d75-a3c7-7eeaf83c2cce","year":2024},"citing_paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-08T10:23:04.412997Z"},"links":{"citing_paper":"/paper/2502.08134"},"observation_digest":"sha256:a6321586b53d6669f7e62d834cc9ed85aa5341d81cb84575468e98649ebdbc22","observation_id":"c45e8d76-8606-43ac-8587-e7e03e3e0a96","resolution":{"observed_at":"2026-08-08T10:23:05.356791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.08134","last_updated":"2025-02-12T05:34:48Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T10:16:45.428975Z","submitted_at":"2025-02-12T05:34:48Z","title":"A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":3,"verified_fuzzy":33},"total_outbound_references":53},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2502.08134."}