{"as_of":"2026-08-11T14:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4b708d9af2d5088f6497fbbde925ad27da6ca67ff66e65a1ac3849ae72313239","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:39:24.081554Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.15381/citation-record","integrity":"/paper/2507.15381/integrity","json":"/paper/2507.15381/citation-record.json","paper":"/paper/2507.15381"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.524651Z","title":"Active distance-based clustering using k- medoids","venue":null,"work_id":"9091847c-0ccf-4888-9ddc-6449da6a3ab8","year":2016},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.958296Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:fb40dd641a7df7813ad6364350f16763dabf3b111a2cc1ffa3e8abece798a273","observation_id":"2e8f68d2-b111-46a6-ab91-2540e4f4db7f","resolution":{"observed_at":"2026-08-06T15:39:24.527724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.03671","last_updated":"2020-02-24T02:14:51Z","snapshot_observed_at":"2026-07-06T07:59:03.272339Z","submitted_at":"2019-06-09T16:52:09Z","title":"Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.03671","snapshot_observed_at":"2026-08-06T15:39:23.961870Z","title":"Deep batch active learning by diverse, uncertain gradient lower bounds","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.961870Z"},"links":{"cited_paper":"/paper/1906.03671","citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:e0bc38179b8e65a2a8c343d1fc118f5a8f1ea0b9ca9a0e67bdf0e66fa2705dc1","observation_id":"e51ed2c6-20ea-432d-b831-3ad3fc96fe85","resolution":{"observed_at":"2026-08-06T15:39:23.961870Z","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":"2026-08-06T15:39:24.514971Z","title":"The power of ensembles for active learning in image classification","venue":null,"work_id":"e6f727ad-63de-4ebf-ac00-fddeda1b4b4d","year":2018},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.968739Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:a4dea41011f1c986900cd0ec7740c19acfa457b752c45ec62617846c1a6fd25f","observation_id":"40d70092-e358-47b4-9dd5-81ff9b389a10","resolution":{"observed_at":"2026-08-06T15:39:24.518390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.505656Z","title":"Think twice before selection: Federated evidential active learning for medical image analysis with domain shifts","venue":null,"work_id":"2dddf706-18a1-4645-ad82-042fcfd1fadf","year":2024},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.971985Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:405c8e4f3ba16416a4b63533b3c31eaab371940b3df39bc741a177cfec232488","observation_id":"bc1ce61d-07be-4c9a-9d0e-1f06c2c14a88","resolution":{"observed_at":"2026-08-06T15:39:24.508775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.495956Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":"5df0a91c-e526-4d53-9349-ca49a3daf6c6","year":2020},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.974892Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:bcad0fbfd82843acfb3d08c84749f4801a519be35f4ef05b3c7227db8557e32d","observation_id":"c3a838f0-fb8e-4dcc-8409-cd5bae436995","resolution":{"observed_at":"2026-08-06T15:39:24.499419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.04297","last_updated":"2020-03-09T17:56:49Z","snapshot_observed_at":"2026-07-06T09:03:25.467987Z","submitted_at":"2020-03-09T17:56:49Z","title":"Improved Baselines with Momentum Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.04297","snapshot_observed_at":"2026-08-06T15:39:23.977739Z","title":"Improved baselines with momentum contrastive learning","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.977739Z"},"links":{"cited_paper":"/paper/2003.04297","citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:dbc63aa8e5613ae2b3132aa5a9cc40b4c13932974292f37473c59a62224d9877","observation_id":"61654fe2-3c44-4bde-8a97-3dd1e709427c","resolution":{"observed_at":"2026-08-06T15:39:23.977739Z","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":"2026-08-06T15:39:23.981203Z","title":"An empirical study of training self-supervised vision transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.981203Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:c20a379433bcfbba4af7174d7089c95f5577501e4293d9a46a26f2cbeb2d21d5","observation_id":"300ccae6-d3a4-414a-b7b8-1ffeb053084c","resolution":{"observed_at":"2026-08-06T15:39:23.981203Z","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":"2026-08-06T15:39:24.480791Z","title":"Class-balanced loss based on effective number of samples","venue":null,"work_id":"9d3a7607-3248-4e20-ad13-8adf0848e632","year":null},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.984260Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:aeadf59463c73686dc89f6bea4ef86710d99f053e736f91b6f3fc4145f9a331f","observation_id":"0626ae5b-ef85-4dc4-88a0-ae5b41d1fbaa","resolution":{"observed_at":"2026-08-06T15:39:24.483834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:23.987012Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.987012Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:d1c3859a70672428fb60563cedd75baf17e1db3404cbcde844b268de0a1ce3c3","observation_id":"b5ebf464-0231-4df4-91a4-d4d5b0ffe79a","resolution":{"observed_at":"2026-08-06T15:39:23.987012Z","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":"2026-08-06T15:39:24.465047Z","title":"Deep bayesian active learning with image data","venue":null,"work_id":"29930d14-0bc8-4203-8569-ab8b4eae7757","year":null},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.989934Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:d1a6254f071607ac5f1682ddb0544ceab90ca272b8217f92fdde287123f49703","observation_id":"3443bb0c-a4c6-4b00-88ae-31baafeb62c3","resolution":{"observed_at":"2026-08-06T15:39:24.468301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.06347","last_updated":"2019-07-15T06:47:58Z","snapshot_observed_at":"2026-08-02T08:09:41.894753Z","submitted_at":"2019-07-15T06:47:58Z","title":"Discriminative Active Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.06347","snapshot_observed_at":"2026-08-06T15:39:23.993000Z","title":"Discriminative ac- tive learning","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.993000Z"},"links":{"cited_paper":"/paper/1907.06347","citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:4fd3d0cd473c6c9321d07886942ba86e796c683bf1e857499856c719da4ea0b1","observation_id":"d6bcf64f-9167-442e-85bb-184b7770dba3","resolution":{"observed_at":"2026-08-06T15:39:23.993000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16634","last_updated":"2024-01-30T00:14:13Z","snapshot_observed_at":"2026-08-10T04:41:59.737189Z","submitted_at":"2024-01-30T00:14:13Z","title":"The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16634","snapshot_observed_at":"2026-08-06T15:39:23.995923Z","title":"The why, when, and how to use active learning in large-data-driven 3d object detection for safe autonomous driving: An empirical explo- ration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.995923Z"},"links":{"cited_paper":"/paper/2401.16634","citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:917866b7197b077f8827253a726d8584f42fcaaddf99e8f3a2887ded35c6ed31","observation_id":"c6ff05b2-54ae-4aa6-a9db-e6d185d37c3a","resolution":{"observed_at":"2026-08-06T15:39:23.995923Z","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":"2026-08-06T15:39:24.455715Z","title":"Bootstrap your own latent-a new approach to self-supervised learning","venue":null,"work_id":"210976ef-5564-455c-819d-5b9065928b84","year":2020},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:23.999196Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:04871accf3afb24cc088c90b1e984109c2e667c76ae5ff6938c97a5dbbf146bd","observation_id":"81eaa379-5261-4df1-b0b2-40d22b1043f1","resolution":{"observed_at":"2026-08-06T15:39:24.458727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.02794","last_updated":"2022-06-16T14:36:33Z","snapshot_observed_at":"2026-08-10T14:41:38.442544Z","submitted_at":"2022-02-06T15:09:05Z","title":"Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.02794","snapshot_observed_at":"2026-08-06T15:39:24.002313Z","title":"Active learning on a budget: Opposite strategies suit high and low budgets","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.002313Z"},"links":{"cited_paper":"/paper/2202.02794","citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:49d3d9a0f0f148c7516a1119a58c510d8d41411f258026a460ce0d6e5d15b133","observation_id":"15acf4c6-acac-44e0-adb9-2327dce639b5","resolution":{"observed_at":"2026-08-06T15:39:24.002313Z","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":"2026-08-06T15:39:24.005546Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.005546Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:d652199cf79f3fbfeeeef97de78d28c3ca878870bb1f15416e7abb13efb6c9c5","observation_id":"14977096-ad50-4917-a4a2-4775675d98c0","resolution":{"observed_at":"2026-08-06T15:39:24.005546Z","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":"2026-08-06T15:39:24.440241Z","title":"Off to a good start: Using clustering to select the initial training set in active learning","venue":null,"work_id":"671e4fe1-1936-4c9b-9ee7-5a7331844204","year":2010},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.008525Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:cd1019dcd3bc349c5663b9135064730e652ca99bffce438cf6694badcbb54471","observation_id":"79605fd4-a8bb-4434-a23e-59d9baee1da5","resolution":{"observed_at":"2026-08-06T15:39:24.443636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.431814Z","title":"Random coverings in several dimensions","venue":null,"work_id":"6434d38b-e9a2-40e9-8c81-d4299b0f8df4","year":null},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.011249Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:0a02d258449477abe043401a1491e2932321bcf26466f512b923fe0928d97116","observation_id":"af95286d-7c27-4a2d-a7e2-bd718636778c","resolution":{"observed_at":"2026-08-06T15:39:24.434846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.423279Z","title":"One- shot active learning for image segmentation via contrastive learning and diversity-based sampling","venue":null,"work_id":"bc732852-f48b-4938-a0d0-d3f47a9114ff","year":2022},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.014575Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:a9c7f1954ecb1f138979b149086f58589a0b1993e73748317201587c1db960ea","observation_id":"6108c77f-05dc-4d2d-b2a4-beb13f53e6cb","resolution":{"observed_at":"2026-08-06T15:39:24.426322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.414186Z","title":"Query- by-committee improvement with diversity and density in batch active learning","venue":null,"work_id":"60466863-f0bd-4e2b-be9c-6a3d6367a8b6","year":null},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.017301Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:5b8c11135d146e98bbcfa64b6a3e182067f5a7bf6c6d697a7fe46922d02c8ef4","observation_id":"4d47fad0-fc7c-4a9c-bb65-4b804d233d43","resolution":{"observed_at":"2026-08-06T15:39:24.417356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.404772Z","title":"Learning multiple layers of features from tiny images, 2009","venue":null,"work_id":"5959016a-c4eb-4be9-9392-ad1019188c07","year":2009},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.020236Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:6a4a1dddb32b054a3438efa5dbc406ffacc54b56989aa445516e77b6300dbf73","observation_id":"e13aa215-e0bc-4ccc-a1ce-0bf7631db21c","resolution":{"observed_at":"2026-08-06T15:39:24.407659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.395620Z","title":"A sequential algorithm for training text clas- sifiers: Corrigendum and additional data","venue":null,"work_id":"0d511cb4-bb50-4ce3-81a1-7d3e35b0e7da","year":1995},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.023150Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:e5da76126ae11a9aa7f5f0192cba7540d43257cf64382b92aed1d6ef658e9e6c","observation_id":"cc4ad8c6-b534-400c-af91-00869b2e0b07","resolution":{"observed_at":"2026-08-06T15:39:24.398910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.386721Z","title":"Semantic segmentation active learning with scene coverage coreset","venue":null,"work_id":"292a6e88-0bdc-412b-a70d-14934fe622c0","year":2024},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.026478Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:b0f56328859ae9f8c76bbb93d87dafd0a68d298e4cd1dfda4c57fc8dfe050918","observation_id":"1060f357-d648-4416-b6db-4a760d921999","resolution":{"observed_at":"2026-08-06T15:39:24.389834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.376931Z","title":"Exploring diversity- based active learning for 3d object detection in autonomous driving","venue":null,"work_id":"5596c209-4324-432a-98b9-2df043f3bb7d","year":2024},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.029320Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:481d96147969f11eb99f0d81da5b03460f7ade60e8c827366c50f9515436c9cc","observation_id":"e72bf988-e23b-4b52-a87d-b174897cdc1b","resolution":{"observed_at":"2026-08-06T15:39:24.380771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.367498Z","title":"A unified approach to coreset learning","venue":null,"work_id":"2ee2a7ad-261c-4836-bd19-53e3299694a3","year":2022},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.032283Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:37ce97f21f4966f3aa5cae5f806a8f982a6d958266781e01969f58097b4a27bc","observation_id":"b28853ce-b4f8-4df4-9f98-e7596365f276","resolution":{"observed_at":"2026-08-06T15:39:24.370885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.035053Z","title":"Dcom: Active learning for all learners","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.035053Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:5e0f4bd930057e0aee11ed58e43a7d3a6ec26b367aca55e5d6bb4ffe45ba3e41","observation_id":"f25a1cb5-833e-4b3a-96f7-7b8d430f1877","resolution":{"observed_at":"2026-08-06T15:39:24.035053Z","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":"2026-08-06T15:39:24.358688Z","title":"Realistic evaluation of deep active learn- ing for image classification and semantic segmentation","venue":null,"work_id":"c1625200-ee81-4206-9d31-e74e187d0bfc","year":2025},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.037916Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:be9f0654f8cd4ba3a7786c9f8539dcfada195f9c9d97aa3202be20417e3593e0","observation_id":"5877a40b-8599-4ebd-824f-6005387a42be","resolution":{"observed_at":"2026-08-06T15:39:24.361608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.350072Z","title":"Towards robust and reproducible active learning using neural networks","venue":null,"work_id":"ccb32d88-ead4-409f-a11d-7db673661d60","year":2022},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.041015Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:18ee90ddc7991d9e19a4c8f8aeefc321b24c898f369798b081ae82c03ef9eae0","observation_id":"e7784b7f-08a1-4c73-8139-4e054647dcba","resolution":{"observed_at":"2026-08-06T15:39:24.352954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.341702Z","title":"How to measure uncertainty in uncertainty sampling for active learning","venue":null,"work_id":"4082e60a-7bb7-4a59-8724-8a25bc163f1d","year":2022},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.044310Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:f8a4733ba319d9cd94c59946f9230bef061855279374ecf2cc73557dc3dc1a88","observation_id":"ab5f9b90-8979-43af-a9ff-817db2dd13b2","resolution":{"observed_at":"2026-08-06T15:39:24.344554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.332219Z","title":"Introduction to probability models","venue":null,"work_id":"45c0eef8-d249-4563-a756-2707db09acb2","year":2014},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.046965Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:d826d0ae8fc18813dfbec84c890bce6fbd45dff0944551523744f884aee5e13f","observation_id":"0f73ef77-0f98-4354-9d0d-1d80d53acbcf","resolution":{"observed_at":"2026-08-06T15:39:24.335566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.323529Z","title":"Active hidden markov models for information extraction","venue":null,"work_id":"52e6c9e3-eae9-4469-8e98-893f1a991566","year":2001},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.049566Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:368eef9528477cab86c82abab6014ce7cc20c209ff40d9f0899a8b861389784a","observation_id":"f0bb5030-5ac1-409b-bcbe-fb54a6921b09","resolution":{"observed_at":"2026-08-06T15:39:24.326512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.00489","last_updated":"2018-06-01T10:17:23Z","snapshot_observed_at":"2026-07-06T05:53:39.440274Z","submitted_at":"2017-08-01T19:50:53Z","title":"Active Learning for Convolutional Neural Networks: A Core-Set Approach","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.00489","snapshot_observed_at":"2026-08-06T15:39:24.052621Z","title":"Active learning for convolu- tional neural networks: A core-set approach","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.052621Z"},"links":{"cited_paper":"/paper/1708.00489","citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:11c06087bf1b962c7b3ab9f0a9139e327f84d03686990f473746a662930e6858","observation_id":"d1ed2cb8-9d72-48d8-b345-faa757509b28","resolution":{"observed_at":"2026-08-06T15:39:24.052621Z","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":"2026-08-06T15:39:24.315233Z","title":"Active learning literature survey","venue":null,"work_id":"8a680775-4caf-49e7-b498-6681701bf4f2","year":2009},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.055844Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:52e0834f75f58da74ba3636b6090e15b97a2393f67339c3d73be60e9198cc2a0","observation_id":"eeee9024-d304-4e1a-a2ed-d8920c9122bb","resolution":{"observed_at":"2026-08-06T15:39:24.317929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.306333Z","title":"Scan: Learning to classify images without labels","venue":null,"work_id":"98c88325-18f7-473f-8bb6-0c1247ab5434","year":2020},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.058756Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:6524c41b8c62d13584fca6e99ff82d1430623cdf9f7af2036565994e4dc3f231","observation_id":"c2860db8-f10e-43ba-87c6-a94733cb6c07","resolution":{"observed_at":"2026-08-06T15:39:24.309322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.295867Z","title":"Active clustering of biological sequences","venue":null,"work_id":"24e5af91-96d3-49e6-ab83-af580b8d6d13","year":2012},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.061484Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:231d86e61b587bf719ae1fd62e4df4da3a1fdf67e6301f02caed45a0d3c24871","observation_id":"faa3c9e4-3c68-45fc-873e-f4dfc84ac607","resolution":{"observed_at":"2026-08-06T15:39:24.299185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.286217Z","title":"A comprehensive survey on deep active learning in medical image analysis","venue":null,"work_id":"2e556b2f-6876-4b42-a294-7ec682845903","year":2024},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.064264Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:1e84820e8a9680dc3c265a32b8eec63a3e45091b544311c06b02888acd23f0c7","observation_id":"eb4baaf0-8850-4e8c-b32e-3e35cbbd177e","resolution":{"observed_at":"2026-08-06T15:39:24.289332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.276001Z","title":"Active trans- fer learning for 3d hippocampus segmentation","venue":null,"work_id":"d17f7aa5-d075-4d96-acdc-a70ed29b054b","year":2023},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.067305Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:61d855b0854e09e1f29fb91afa574822e3ab79f0ad461736947adc87ac97bdd4","observation_id":"a9627345-1322-4346-a3fb-9aeec0f7c477","resolution":{"observed_at":"2026-08-06T15:39:24.279403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.265942Z","title":"Representative sampling for text classification using support vector machines","venue":null,"work_id":"81247e29-134e-4ad1-bb55-e9a0cc8bfed3","year":2003},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.070102Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:e84a14caead6f41ffb493b35ae5e50a27824b40d7cab3df3ae13f2d8f0ff5d9b","observation_id":"fb9a899a-a1d5-46ff-91a4-40dac0c2d1b9","resolution":{"observed_at":"2026-08-06T15:39:24.269042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.256327Z","title":"Active learning through a covering lens","venue":null,"work_id":"fb74b628-404b-4bb8-a114-9b7d52959d96","year":2022},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.073030Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:cec825d90dde133719d1d707a5884fb64ebda8ec43528276e32933959f210bb2","observation_id":"89ecb11e-c724-4c21-8ad9-4ec6f216adc9","resolution":{"observed_at":"2026-08-06T15:39:24.259365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:39:24.245981Z","title":"Anomaly detection for iot systems using active learning","venue":null,"work_id":"b643964f-481e-463f-bbc9-e5fc266f6561","year":2023},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.075741Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:132d0e0363703fac7a87a75b806efa511d63ad10e06d01fcfdf6ba159298413b","observation_id":"ad5bf968-0f15-476c-85dd-cb3fbd5efb89","resolution":{"observed_at":"2026-08-06T15:39:24.249475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09910","last_updated":"2024-03-01T22:38:16Z","snapshot_observed_at":"2026-08-11T03:59:11.635385Z","submitted_at":"2023-06-16T15:36:49Z","title":"LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09910","snapshot_observed_at":"2026-08-06T15:39:24.078500Z","title":"Labelbench: A comprehensive framework for bench- marking adaptive label-efficient learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.078500Z"},"links":{"cited_paper":"/paper/2306.09910","citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:2a81ce60dee226d3c3fa85d18489fb15257c4abb78482ab5da219f434c4fcc82","observation_id":"7e5e6f8e-c09b-4df8-909c-eb08c9507f76","resolution":{"observed_at":"2026-08-06T15:39:24.078500Z","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":"2026-08-06T15:39:24.233926Z","title":"BADGE [2] combines un- certainty and diversity by clustering in gradient space us- ing a k-means++ scheme","venue":null,"work_id":"50eaa99a-c34e-4f4d-8757-f85d1ac23e98","year":null},"citing_paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T15:39:24.081554Z"},"links":{"citing_paper":"/paper/2507.15381"},"observation_digest":"sha256:eae719afd76c2bc948b0c2f4622ba675b2a7777fb291596068af50ebb11892d3","observation_id":"0e8a6fe4-a35d-4f57-9787-0871a94d140e","resolution":{"observed_at":"2026-08-06T15:39:24.239222Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.15381","last_updated":"2025-07-21T08:37:44Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T16:57:35.847121Z","submitted_at":"2025-07-21T08:37:44Z","title":"To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":41},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.15381."}