{"as_of":"2026-08-14T12:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:21e1eab0dc4dc987d1f1adcea9dddcf24ff96bf85326e67cc5e826950dde5d50","coverage":[{"denominator":94,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":94,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T21:47:36.615134Z","state":"measured"},{"denominator":95,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":95,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:41:16.683001Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T21:41:17.549043Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"cited_work":{"arxiv_id":"2412.04158","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.04158","snapshot_observed_at":"2026-08-06T21:41:17.549043Z","title":"LossVal: Efficient Data Valuation for Neural Networks","venue":"cs.LG","work_id":"82aba068-27d2-4abe-9fda-c289ec811506","year":2024},"citing_paper":{"arxiv_id":"2506.23799","last_updated":"2025-07-02T22:50:21Z","snapshot_observed_at":"2026-08-09T23:23:21.696488Z","submitted_at":"2025-06-30T12:44:28Z","title":"KAIROS: Scalable Model-Agnostic Data Valuation","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T21:41:16.683001Z"},"links":{"cited_paper":"/paper/2412.04158","citing_paper":"/paper/2506.23799"},"observation_digest":"sha256:e343b95be730bbe3ef840a9c8984a68919a6ad2bd2fb6321ec467d2a6cbe497c","observation_id":"9f732d40-5ea5-4659-a71f-c7350e0a4ea9","resolution":{"observed_at":"2026-08-06T21:41:17.648056Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.04158/citation-record","integrity":"/paper/2412.04158/integrity","json":"/paper/2412.04158/citation-record.json","paper":"/paper/2412.04158"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:47:36.173557Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.173557Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:16ba5cadaf69fad6c42efa9406ee69a44883232036a4f161c2dd12ada1eb66f0","observation_id":"fd3457d1-7c27-4862-ab2b-85eb78f84e0f","resolution":{"observed_at":"2026-08-11T21:47:36.173557Z","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":"2026-08-11T21:47:36.180020Z","title":"A Marketplace for Data : An Algorithmic Solution","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.180020Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:820f4c822933f2c068487a993669dd3c06756397a712c3a74eb481cccbdc3269","observation_id":"c064c84a-e832-43a4-a9c8-9c503bcc31bb","resolution":{"observed_at":"2026-08-11T21:47:36.180020Z","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":"2026-08-11T21:47:36.187083Z","title":"Explaining Recurrent Neural Network Predictions in Sentiment Analysis , 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.187083Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:176619fc149e2edb208670590e06c9b67c296ef41d6b2b278821b1333c439f1b","observation_id":"08bbb639-466c-4715-94b9-544cb3f2ba16","resolution":{"observed_at":"2026-08-11T21:47:36.187083Z","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":"2026-08-11T21:47:36.192106Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.192106Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:94fce9ddec89cf6d21267df2529a17316740dee84634106284d205a31f2556be","observation_id":"469cce85-0ee6-428c-9c52-0ff8f7b1882b","resolution":{"observed_at":"2026-08-11T21:47:36.192106Z","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":"10.1007/978-3-031-62700-2_16","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":null,"venue":"Lecture notes in computer science","work_id":"84321246-9f96-4786-9a02-ec9ebba13c81","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.196973Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:82c96067f1146fcfd5accf910ac2665370279d1338a390abdfd2439e4f9ce2e5","observation_id":"c27db2fa-57a6-4e8b-b394-0aac24e23fd8","resolution":{"observed_at":"2026-08-11T21:47:36.845064Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10618-021-00761-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:47:36.822957Z","title":"K., Rabus, M., and Krestel, R","venue":null,"work_id":"43ce45ef-b28c-4f8c-9814-bb2fa2648587","year":2021},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.201840Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:37687251d6ff43b6a2d129fc457341ccd5f4233b5ecdc113e08ae511bd587acb","observation_id":"07505139-8c9b-4cbb-b6bd-7a23a3f45ffa","resolution":{"observed_at":"2026-08-11T21:47:36.828093Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.206691Z","title":"K., Mekki, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.206691Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:f3e688b039f29e50c5f299f521e7feea8b9d9a700953383bf13da93d7838df25","observation_id":"2fcb97d6-ff39-49c1-80ce-634f32e25713","resolution":{"observed_at":"2026-08-11T21:47:36.206691Z","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":"2026-08-11T21:47:36.211746Z","title":"H., Olshen, R","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.211746Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:a4ba5eeb2058b9aa1da16c5e38c400aaf8dd987aac1f9f073c92771caa471236","observation_id":"b031ad83-1f1b-4786-9dd0-b8757990d852","resolution":{"observed_at":"2026-08-11T21:47:36.211746Z","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":"2026-08-11T21:47:36.216359Z","title":"The Effects of Data Quality on Machine Learning Performance , 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.216359Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:dc7e88585b5533d04e132a93e9e5162e8d738f95ae7e3d04adb76a3a0f141caa","observation_id":"128b16ca-5800-4da2-9f25-e38409a64502","resolution":{"observed_at":"2026-08-11T21:47:36.216359Z","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":"2026-08-11T21:47:36.220925Z","title":"CHG Shapley : Efficient Data Valuation and Selection towards Trustworthy Machine Learning , June 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.220925Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:83a9495660e9eef3af5cc029ddb68970c06a72d3e667483dc77f9382144a0f16","observation_id":"cf08ee94-a959-49cc-8563-10f58a72f556","resolution":{"observed_at":"2026-08-11T21:47:36.220925Z","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":"2026-08-11T21:47:36.225808Z","title":"and Lemaire, V","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.225808Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:6f74f415f8e2e26c3bcb65503cdd041a298f220a83b33eac5c46764ff3d610eb","observation_id":"dc14535b-cfc7-4d83-8f76-36490a529211","resolution":{"observed_at":"2026-08-11T21:47:36.225808Z","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":"2026-08-11T21:47:36.230342Z","title":"Data evaluation and enhancement for quality improvement of machine learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.230342Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:28dd4fcb3fdf737443e86923c7bf7345c71a4bd8d874e04eb5d11bbca2653f8b","observation_id":"fc05c1e6-db37-457a-b69d-78e3a3c0809d","resolution":{"observed_at":"2026-08-11T21:47:36.230342Z","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":"6246.30762","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:47:38.226464Z","title":null,"venue":null,"work_id":"75effd23-5658-4b3d-8486-0c03e39d403e","year":2017},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.234973Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:c0ba6b7df41ba141307b5be0afc982ee5ddcdce07ef0d460ab7d17e987f0b980","observation_id":"8f9c597b-7d48-4f5c-a00c-c654c3b15bc0","resolution":{"observed_at":"2026-08-11T21:47:38.235240Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.239546Z","title":"Towards Model-based Pricing for Machine Learning in a Data Marketplace","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.239546Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:32b07b6ef3570846aa2578fe4cd0bc62f9768ec13f269c4a6770735429421985","observation_id":"46fc5961-d0a1-47fd-a1ee-d773857163dd","resolution":{"observed_at":"2026-08-11T21:47:36.239546Z","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":"2026-08-11T21:47:36.244427Z","title":"Precedence- Constrained Winter Value for Effective Graph Data Valuation , March 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.244427Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:9b5eba3cc48a3ad79b8edc4dd6b20fd9383f29528333ce5049e4f9601b4d5e28","observation_id":"2e3091e5-fef0-4ae2-b3a3-506f2f1b4efc","resolution":{"observed_at":"2026-08-11T21:47:36.244427Z","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":"2026-08-11T21:47:36.248762Z","title":null,"venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.248762Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:4b3d3d20098f95aec7934858435108df5fce0cb4af381a28d172c4825aa6a912","observation_id":"c702270a-648b-4eef-886f-8a49b4efc078","resolution":{"observed_at":"2026-08-11T21:47:36.248762Z","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":"6161.1986","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:47:37.956083Z","title":null,"venue":null,"work_id":"8f34e689-19cd-441f-b890-acdab47e71ed","year":1986},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.253143Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:555fdb8efcd603716d517e9857a6cb274e571bc92b0c9337ff0e4a286abd68fc","observation_id":"e8662e13-17b0-4ca8-ab4a-17b9a4f0ff6f","resolution":{"observed_at":"2026-08-11T21:47:37.963744Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.258029Z","title":null,"venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.258029Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:2c34d3e96b7aec6f614e658483f9c965093a3a43f70ecdedc76c457e070926be","observation_id":"0341bcdc-e74d-4adc-a9da-57fcd1f06cd3","resolution":{"observed_at":"2026-08-11T21:47:36.258029Z","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":"2026-08-11T21:47:36.262809Z","title":"Sinkhorn Distances : Lightspeed Computation of Optimal Transport","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.262809Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:f5440ab42d5594a11de72413a930f4ca79c8c09e3abcf0f7a7b13a1b12ac2792","observation_id":"94bfa155-e605-4084-8940-ef8975fbba46","resolution":{"observed_at":"2026-08-11T21:47:36.262809Z","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":"2026-08-11T21:47:36.267434Z","title":"Euro NCAP database","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.267434Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:3a80867004d96fdb91e73efea30331c3f4156a0c19da9f1c3761f5ce24773992","observation_id":"900a6be1-73cb-4270-8c88-72bd668fa570","resolution":{"observed_at":"2026-08-11T21:47:36.267434Z","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":"2026-08-11T21:47:36.271921Z","title":"J., Mills, G","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.271921Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:4ec46361b98b1004c02046b2e3656f02c3d2f74361ca450175e96da987522d1a","observation_id":"1f560d71-e9c7-44b6-9606-1630b3ce9550","resolution":{"observed_at":"2026-08-11T21:47:36.271921Z","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":"2026-08-11T21:47:36.276392Z","title":"and Zhang, C","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.276392Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:27b276b482eba97bb986b146121a2c20045c5ebe1ffd7ed38c588280a1b2e095","observation_id":"f58bc85b-6efe-40b2-b226-6b3afb653898","resolution":{"observed_at":"2026-08-11T21:47:36.276392Z","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":"2026-08-11T21:47:36.280903Z","title":"Interpolating between Optimal Transport and MMD using Sinkhorn Divergences","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.280903Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:fb5c87cec8cc8fc60630168cc58a433d168d3bb33d36716c14456ff991c86cec","observation_id":"d947e30f-b3f9-4ce4-8815-081a5417a8ec","resolution":{"observed_at":"2026-08-11T21:47:36.280903Z","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":"2026-08-11T21:47:36.285265Z","title":"OpenML-CTR23 -- A curated tabular regression benchmarking suite","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.285265Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:7e0b98875283e047dd3c27074bf1416d189323c3cc37efc66abe31b944e86b1f","observation_id":"4de2ad64-612a-4692-80cd-2a4192f6084c","resolution":{"observed_at":"2026-08-11T21:47:36.285265Z","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":"2026-08-11T21:47:36.289924Z","title":null,"venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.289924Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:12f8576e72a3b26c49a8ec2ca67cc83f38b519626a5daa9208d95221699fc1ec","observation_id":"a5543613-9d63-4450-9c0f-30e865e829b0","resolution":{"observed_at":"2026-08-11T21:47:36.289924Z","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":"2026-08-11T21:47:36.295258Z","title":"Learning with Drift Detection","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.295258Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:527d6f935e9ea1a51aa9ef157e155a4f940e10e73e752e2679dddae3423e8f50","observation_id":"47b41103-1d65-402b-bbf7-b533ef1f9cbe","resolution":{"observed_at":"2026-08-11T21:47:36.295258Z","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":"2026-08-11T21:47:39.177433Z","title":"DU-Shapley : A Shapley Value Proxy for Efficient Dataset Valuation , June 2023","venue":null,"work_id":"8f834398-b265-4fe3-b8da-e6737337900a","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.300096Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:8926bb7277b188cffaf5481f441f81ca9ba3284d3a72600ce556203ea9758b93","observation_id":"d9d4d9eb-3ab1-41cc-830a-7ac43717281d","resolution":{"observed_at":"2026-08-11T21:47:39.182481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:39.160517Z","title":"and Zou, J","venue":null,"work_id":"810f3b99-b47c-49c0-ba02-faa9c305ba66","year":2019},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.304552Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:8974e8a9041642ce8b0656c3d7244980dde81c98de58fcf146192719f2c950d8","observation_id":"236a6b17-79bd-4181-83fa-12f989cd9abb","resolution":{"observed_at":"2026-08-11T21:47:39.165305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:39.144467Z","title":"A Distributional Framework For Data Valuation","venue":null,"work_id":"c9950da3-c3b6-414f-906b-0cbd7fadae95","year":2020},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.309137Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:2c11284e2c646c6159fc591ac588df7412cf5950ca9bd7276772c0fb78b4cf5c","observation_id":"be303252-8fec-48aa-80e9-35fbf52524c7","resolution":{"observed_at":"2026-08-11T21:47:39.149476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:39.128212Z","title":"Structural optimization for crash pulse","venue":null,"work_id":"eb7303b6-c122-4a2e-8920-0e263eaddd44","year":2005},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.313855Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:96a2370b7663fb14fd73183f3b6c34c5709179ac63c07a8a2c3e02c116323f64","observation_id":"ad1b48f6-d4ce-4487-b8e9-a483ef3f9395","resolution":{"observed_at":"2026-08-11T21:47:39.133066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:39.110433Z","title":"F., Hase, P., Bansal, M., and Xiong, C","venue":null,"work_id":"36212a9d-7c88-404a-84b7-d4423fb686fd","year":2021},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.318342Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:249326d133d72102046de7506ae6e53d44fc350433698b45d4c878568a9b3997","observation_id":"0e452c29-28e7-488a-ad08-2da403a7b543","resolution":{"observed_at":"2026-08-11T21:47:39.115551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:39.093541Z","title":"Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs , March 2023","venue":null,"work_id":"c5912839-9ee1-44fc-a692-f4182a7e8616","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.323244Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:1dae4d34ddc3978b3702a346cc3ddd6fddaabc85306f0c671b6bd244fd0936e6","observation_id":"3ef68e73-feac-4b7c-b6fb-521e34ab64fd","resolution":{"observed_at":"2026-08-11T21:47:39.098690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.327711Z","title":"and Lowd, D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.327711Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:1a6bdc99d9f2a9754469b178b3f25ed22b74d08939153a29deaa27511d0c9aee","observation_id":"7f542a0d-9df5-46fe-b747-bfaa8c5f48a7","resolution":{"observed_at":"2026-08-11T21:47:36.327711Z","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":"10.1007/s13347-021-00464-5","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:47:36.773040Z","title":"O., Belin, M.- ., and Lundgren, B","venue":null,"work_id":"36fb6518-a1b1-45eb-9c95-60a9d35cc964","year":2021},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.332397Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:48a9dbec516021e3d6bb4009c0ac6f9c58ebb74d5d2c48d5fa90f97f7613182b","observation_id":"045fa6ce-cfe8-43bc-8bdf-ba37a570b7a9","resolution":{"observed_at":"2026-08-11T21:47:36.778839Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.337415Z","title":null,"venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.337415Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:f6bab7308cdd6c134436372fd6554710582e32969ed6424b4bc90768550545a1","observation_id":"ee7b8cb9-5017-4530-85e0-e26d9f2ee8c1","resolution":{"observed_at":"2026-08-11T21:47:36.337415Z","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":"2026-08-11T21:47:39.076033Z","title":"A study on ride-down efficiency and occupant responses in high speed crash tests","venue":null,"work_id":"f7968b83-75a2-424d-bad5-0b45bc40376a","year":1995},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.341973Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:e91f3d5f6d29a83af7d43fe4520c09adee56eed9705cc6b1a477a96edf299858","observation_id":"7c275562-bd31-4c62-9431-1b2089eb4578","resolution":{"observed_at":"2026-08-11T21:47:39.082029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:39.058707Z","title":"T., and Jia, R","venue":null,"work_id":"b72256e0-e376-4851-8689-11a7eaa0d5c0","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.346387Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:0b692ea3be9cb01ae220a62191b74df6f6a840c906dc94760766529b8a69f247","observation_id":"90d74489-9c9c-43cf-9464-7b551d945790","resolution":{"observed_at":"2026-08-11T21:47:39.064394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:39.041882Z","title":"A., Gurel, N","venue":null,"work_id":"9a64917a-558e-4e22-ba04-d79d86f82d53","year":2020},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.350736Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:c26fd498c24b894ac66440c031b8cbdcf3943ee4615361cdc92b280fcefe08b6","observation_id":"4e51b242-c801-456c-a63a-2feb8975d7c4","resolution":{"observed_at":"2026-08-11T21:47:39.046980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:39.024648Z","title":"Scalability vs","venue":null,"work_id":"badfef04-1082-4161-9f2d-7412d494043d","year":2021},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.355058Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:41389b7863c0c62ab1ee9f29b4e493bc3f59348e9f6dc5b33e16e78a2f5d08b3","observation_id":"aaa23f79-2ced-4ce0-895a-d38bb48c9f68","resolution":{"observed_at":"2026-08-11T21:47:39.029279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:39.008282Z","title":"F., Liang, W., Zou, J., and Kwon, Y","venue":null,"work_id":"9d27e055-03f6-4992-856c-f5efa0ffb288","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.359472Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:1210551891e4cf58453517d1ca3f2f01700c91b63fa1e2d87f893eb43bd20e06","observation_id":"6c227672-a829-4f52-8262-b33e894b59b5","resolution":{"observed_at":"2026-08-11T21:47:39.013566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.992297Z","title":"A., Kang, F., Wang, J","venue":null,"work_id":"fcae5ae4-4bba-44df-84d6-a38e06cbaeed","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.364096Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:1df1a3f52cbc46b399a3896e1c50d6cb3dafe8fb325ea2731b82a120904b5d16","observation_id":"43177e3f-5137-41e6-a515-29f5d6b48cb2","resolution":{"observed_at":"2026-08-11T21:47:38.997722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.974599Z","title":"SAVA : Scalable Learning-Agnostic Data Valuation , June 2024","venue":null,"work_id":"fb456592-c90f-4eaf-a6d1-1d28fe928cb0","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.368670Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:fff8817db97fac4060226f540c4a82ef78eef3e7ef0c339dd7e6d13f2b46a2f4","observation_id":"96fd08b4-389d-48de-981e-8dc642a6093a","resolution":{"observed_at":"2026-08-11T21:47:38.980081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.373467Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.373467Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:a1a5650a4547ff489ec9c1dadf5594130c0e8abf2086b5f6d0c95f764c47e496","observation_id":"b7f919c8-639b-4e69-85cc-74ba496d67ba","resolution":{"observed_at":"2026-08-11T21:47:36.373467Z","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":"10.18653/v1/2020.sustainlp-1.6","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:47:36.747399Z","title":"Efficient Estimation of Influence of a Training Instance","venue":null,"work_id":"d4e85841-bf7f-423c-9648-dc61d6e86025","year":2020},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.377915Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:eb03a9350c33cb3276976222af184558397b3c8774b29aab6f6cf651ac6b18dd","observation_id":"b4bdabe9-5915-4567-b63a-8a21c0efb4a8","resolution":{"observed_at":"2026-08-11T21:47:36.752421Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.948325Z","title":null,"venue":null,"work_id":"75242283-b625-410e-87e6-941d5f137387","year":2017},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.382796Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:6d437440a700100805414f7aebc42b46fe64733fb06c9b9ad19d6c93b96c8238","observation_id":"25e073c2-c683-434d-9c26-5fcb673c1ab3","resolution":{"observed_at":"2026-08-11T21:47:38.953427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.932980Z","title":"W., Ang, K.-S., Teo, H","venue":null,"work_id":"559a6b5d-6305-4bab-b295-01d60bc53903","year":2019},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.387430Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:3fc0f3232348d1611495ad2758fd3dcab2f3e9395f450aa6090631759dfe75c6","observation_id":"b5867b88-aa05-43ae-8e32-4c2a2f3f2be4","resolution":{"observed_at":"2026-08-11T21:47:38.937658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/bf03225076","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:08:50.044864Z","title":"u bler, L., Gargallo, S., and Els \\","venue":"ATZ - Automobiltechnische Zeitschrift","work_id":"d54985e4-2b1c-4f3b-b932-f30de331bc97","year":2009},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.391924Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:ad2aa3b6e8c01679299b2ddbd7ac23c047dc58aa428b60bd26bfd97754dbbe53","observation_id":"9a2491dd-aa29-431d-bc0f-10ee4aa69da2","resolution":{"observed_at":"2026-08-11T21:47:36.736416Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.917419Z","title":"Self- Paced Learning for Latent Variable Models","venue":null,"work_id":"d2ad913b-c11f-429d-bff0-4a9612d27120","year":2010},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.396411Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:10df6aa7db140cd2ba30c57750dd2d7ad37d53ced2c894083ec095da8685078c","observation_id":"8e3eeed4-fc29-4fa2-aef6-8274f9fa0626","resolution":{"observed_at":"2026-08-11T21:47:38.922367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.902688Z","title":"and Zou, J","venue":null,"work_id":"2cfead6f-f831-4204-a500-e6a73721268f","year":2022},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.400893Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:c302e9c3fb01de8f65377a74fc85a1dc0d12845e80b266bec5f995a3ed1c9efa","observation_id":"2b111f81-f382-4b8c-aa80-da5a56bf2006","resolution":{"observed_at":"2026-08-11T21:47:38.907295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.887666Z","title":"and Zou, J","venue":null,"work_id":"c06a984c-559d-42f6-bc7d-b301aaedaa7d","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.405400Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:5ce3ce533a3551a6b4eefa3d15a6f2c5959a565439c1ae11aac65742f7d5fc85","observation_id":"167cfb89-1faa-45a5-8267-c33eed9e6f87","resolution":{"observed_at":"2026-08-11T21:47:38.892252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.410039Z","title":"Y., Miklau, G., and Suciu, D","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.410039Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:231c75576e4f6fd8b2373eb9b7dd2e55deb00da2a9d72050027e2526d8d979ac","observation_id":"219167fd-7762-4c47-8e52-70191d4a3824","resolution":{"observed_at":"2026-08-11T21:47:36.410039Z","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":"2026-08-11T21:47:38.871397Z","title":"Neural Dynamic Data Valuation , June 2024","venue":null,"work_id":"290337a3-999f-48fb-8bcd-41480c8d207c","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.414713Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:63b2df49576eb2b60294b7939156016bcd393b998aaee6bdc0537f110f71bbdb","observation_id":"8247e227-fe72-45c0-8ca6-4b3c0dc16c8b","resolution":{"observed_at":"2026-08-11T21:47:38.876597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.855176Z","title":"Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments , June 2022","venue":null,"work_id":"42c6bc74-a951-45dd-bc0a-13b64a3dcc2a","year":2022},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.419141Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:0c88dd6111c69db721728cbe1bc3415971f213832517f9af963d63ed03d3410d","observation_id":"9ab18978-db4c-487c-896d-968b0c1e55f1","resolution":{"observed_at":"2026-08-11T21:47:38.860646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.837254Z","title":"Focal Loss for Dense Object Detection , February 2018","venue":null,"work_id":"da3472f6-78e3-45e2-af68-f0c9e6082ec9","year":2018},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.423675Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:012550d441dbb3f5a0119e6708ac15febaeaf7fb547818a5b95da88c34ab374c","observation_id":"ec8970e0-c794-4b00-ba07-80d3bcc279cd","resolution":{"observed_at":"2026-08-11T21:47:38.842883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.819977Z","title":null,"venue":null,"work_id":"c6518f67-af75-4c7e-8d5f-87dfcabd5015","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.428311Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:0cd045b02929801a22a7878981844b116790c2991e5009d13ed78cb904508ae3","observation_id":"0d225db4-63e2-4576-8d97-2a0aa8619edd","resolution":{"observed_at":"2026-08-11T21:47:38.825261Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.804030Z","title":"Damage Prediction and Crashworthiness Optimization of FOBEVs in Positive Crashes for Battery Electric Vehicles","venue":null,"work_id":"50a61d09-c8a7-4f30-a936-4ed92cea229c","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.432697Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:4a50507f96b1037e6e239027a212d00a46f4be933b93269f3d34b7580609ec7d","observation_id":"d012b15e-ce65-4806-88be-653d280127b4","resolution":{"observed_at":"2026-08-11T21:47:38.809108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.787916Z","title":null,"venue":null,"work_id":"357ff780-60e2-471c-b1da-da5ad0c18eea","year":1951},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.437501Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:ca9413f1d9396a1fb143e1599570f7991e8087075aae7fd2ea6258ec3444bd37","observation_id":"1f3e0932-f145-47b6-a788-870909314a68","resolution":{"observed_at":"2026-08-11T21:47:38.792685Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/pds.2024.216","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:47:36.714943Z","title":"D., and Vielhaber, M","venue":null,"work_id":"b75e838a-6b53-4b19-9348-4ad2ffeea629","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.442203Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:3d9f8f52dceade65246ddbc5a2d8fc2c35fe8ec5124637f20573aedca40ea784","observation_id":"5cd607c9-18ce-4c7f-ba68-51ad0ced223e","resolution":{"observed_at":"2026-08-11T21:47:36.720204Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.447311Z","title":"M., and Poor, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.447311Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:b0c9085ee5971547f7657e8b7cb2fd9a2f05c79d2879677485fe1945680d6752","observation_id":"b9482912-5768-4f93-943f-b45f26c837ef","resolution":{"observed_at":"2026-08-11T21:47:36.447311Z","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":"2026-08-11T21:47:38.771773Z","title":"Interpretable Machine Learning : A Guide for Making Black Box Models Explainable","venue":null,"work_id":"50e40eda-b155-467f-924d-2ce0a6682a3b","year":2022},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.451847Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:d435910be24652d4b4142a95ff55a02ac8628b099a0606a6a014a77ed4bc641a","observation_id":"9fd57e2f-6242-4c30-91cb-5670d3a8cdef","resolution":{"observed_at":"2026-08-11T21:47:38.776796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.755718Z","title":"Interpreting Machine Learning Models with SHAP : A Guide with Python Examples and Theory on Shapley Values","venue":null,"work_id":"4948d69c-f1ab-4416-b141-d6092171f8ca","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.456297Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:90621bff2d31a9bf32f0b53e8b08b78574402eb3f7a4456cd0060aee0779848e","observation_id":"97026d6b-08f9-453d-8467-5c80f2ed6fa3","resolution":{"observed_at":"2026-08-11T21:47:38.760862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.738584Z","title":"National highway traffic safety administration database","venue":null,"work_id":"28e8acaa-ec53-4603-affe-412bb3222d6b","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.460731Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:541b64654a69918ed57caaea0e17f26b0de6e3214ea8807e0f246a07cb137f09","observation_id":"9a455cc9-83c3-42ca-a74c-3e5e87d5a4ef","resolution":{"observed_at":"2026-08-11T21:47:38.745241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.465342Z","title":"P., Bajardi, P., and Panisson, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.465342Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:7d6cad476123da23c599455474a7abefe41b906cace6a10bf0b73075c35aa835","observation_id":"759876f3-4ba7-4c0d-aafc-474d60ed62c7","resolution":{"observed_at":"2026-08-11T21:47:36.465342Z","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":"2026-08-11T21:47:36.469940Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.469940Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:1f88c966bea4e571603fd31d6976a1aebf71035c20cc4976b34f8e71d1474d8b","observation_id":"93266783-c999-41e5-863e-ff29fc4d56fe","resolution":{"observed_at":"2026-08-11T21:47:36.469940Z","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":"2026-08-11T21:47:38.722297Z","title":"M., Georgiev, K., Ilyas, A., Leclerc, G., and Madry, A","venue":null,"work_id":"345cf4ac-308e-4f5a-b8c8-ec0665cc6d92","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.474828Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:9acf97deceeed1e4639160d04533f3812a3ae21e758ca61d022b31843c5ddbb5","observation_id":"cd8cdd27-49d0-40dc-9ab0-f0b2a39c7b48","resolution":{"observed_at":"2026-08-11T21:47:38.727036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.706987Z","title":null,"venue":null,"work_id":"83d2f7c9-e95c-4ac5-a000-6df0f09618b6","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.479440Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:3ac96913ad689dc9ab640dcf7ebcca2ba35bc78cb05129f80c467f94f0afc805","observation_id":"409c936a-1936-4aa4-8051-f41a8b13d921","resolution":{"observed_at":"2026-08-11T21:47:38.711763Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.691710Z","title":"Estimating Training Data Influence by Tracing Gradient Descent","venue":null,"work_id":"cdfb9bd4-4ecc-4ce6-b897-108330eaf678","year":2020},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.484512Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:1d65c753c609adc6512986a72d725f4951870fcc953320d03a678dfc66498f88","observation_id":"86f029a3-aaa9-4da1-84ce-a7551e91eccc","resolution":{"observed_at":"2026-08-11T21:47:38.696810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.675749Z","title":"Modell zur Prognose von Dummybelastungen f \\\"u r eine effiziente Auslegung der Passiven Sicherheit von Fahrzeugen , 2024","venue":null,"work_id":"0252f6b4-522c-468f-be90-a285d70a5e51","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.489105Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:01ea2071fbc6756942875e993d042408ac50a9d035bf6dbbcb2f65472d7e2057","observation_id":"e491b679-1d85-4eeb-83e1-3b795bdc4013","resolution":{"observed_at":"2026-08-11T21:47:38.680813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s41104-022-00111-x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:47:36.699395Z","title":"K., Maurer, S","venue":null,"work_id":"68089111-27d7-4dd2-a541-65833d52f873","year":2022},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.493925Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:1c3a6246b142b2efb412aef9904e585074cf700201a86b801e17c5f843798f64","observation_id":"467912d6-a43a-444d-b361-00de7981e630","resolution":{"observed_at":"2026-08-11T21:47:36.704190Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.660034Z","title":"Data Markets to support AI for All : Pricing , Valuation and Governance , May 2019","venue":null,"work_id":"5170ee68-8989-4a09-99ff-11182ebce1f4","year":2019},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.498991Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:f863def1b95909ebd6666b66ed85a7b258c106829a8521469fd477ed4f15ee13","observation_id":"02e67727-a210-42bf-a624-216d7fc1990e","resolution":{"observed_at":"2026-08-11T21:47:38.665007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.503559Z","title":"P., Yang, H.-J., Zhu, J., Liu, Y., Stancu, I., and McGregor, G","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.503559Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:5667fe88b9bcbe99b01f4a9d1276edf9cd9f484afa1ffa57c570158ec70a7cda","observation_id":"bcdc7bb7-2b3a-448b-aece-f78cb740f0d0","resolution":{"observed_at":"2026-08-11T21:47:36.503559Z","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":"2026-08-11T21:47:38.643038Z","title":"Gradient Sketches for Training Data Attribution and Studying the Loss Landscape , February 2024","venue":null,"work_id":"62cc7ef2-c1d3-4840-8682-33638dc0f9d5","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.508127Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:fe144b58c114ec1a589258ac06b2b9f55fa213a72a5687c2156c7e22852e890b","observation_id":"815ecf6c-4488-4467-bf91-c8da133d6b48","resolution":{"observed_at":"2026-08-11T21:47:38.648576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.512766Z","title":"Scaling Up Influence Functions","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.512766Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:113f8c3a60075dd34efff46b08905e8a9b53dfdfa1b71460407a4da67dd47b9c","observation_id":"b8d3709d-33ec-4743-9b09-44d089bbd3d2","resolution":{"observed_at":"2026-08-11T21:47:36.512766Z","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":"2026-08-11T21:47:38.627257Z","title":"CS-Shapley : Class-wise Shapley Values for Data Valuation in Classification","venue":null,"work_id":"42065c26-1e8a-4129-b15b-6d6c2ea05917","year":2022},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.517512Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:a9c271a478e7e2126305c615198f5509755b18218232775fb5ad2268fb55ce46","observation_id":"1fc3325d-b78a-41c4-8ebb-16e1ff0052e9","resolution":{"observed_at":"2026-08-11T21:47:38.632213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.02420","last_updated":"2020-09-04T23:31:17Z","snapshot_observed_at":"2026-08-13T21:40:49.164831Z","submitted_at":"2020-09-04T23:31:17Z","title":"New Families of Solutions for the Space Time Fractional Burgers Equation","version":1},"cited_work":{"arxiv_id":"2009.02420","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.02420","snapshot_observed_at":"2026-08-11T21:47:37.328407Z","title":"New Families of Solutions for the Space Time Fractional Burgers Equation","venue":"nlin.SI","work_id":"f3abb4fc-af5a-48a3-840b-dd53ab6c93b8","year":2020},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.522340Z"},"links":{"cited_paper":"/paper/2009.02420","citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:a00b0de385eaeddec595474b958dca04198bf6eceb5df30ec7fe96f387c4f892","observation_id":"1e46e992-251a-46e9-8850-b56013ee2332","resolution":{"observed_at":"2026-08-11T21:47:37.333641Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.527396Z","title":"Adaptive restraint design for a diverse population through machine learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.527396Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:77a25dae41892564dd5188a6f90c3a08ecc6f888cf2a6b7fab9b3fb54d64c979","observation_id":"828553e1-e904-447d-a313-092dcab6a879","resolution":{"observed_at":"2026-08-11T21:47:36.527396Z","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":"2026-08-11T21:47:38.611492Z","title":"2D-OOB : Attributing Data Contribution Through Joint Valuation Framework , October 2024","venue":null,"work_id":"95bcd55b-7f19-4bde-8160-2872192d63c2","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.532002Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:f01136c9d32b8d51066608b653e8cdc957d745c83fbf52ffbc6d2ec8105d3c11","observation_id":"763d2a2a-d5d8-40bd-92a4-9e9564251461","resolution":{"observed_at":"2026-08-11T21:47:38.616654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.536881Z","title":"M., Chen, B., and Kankanhalli, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.536881Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:df2e03a81cca314507fde323e34f112c473be576898a9955a0382ab1940f1296","observation_id":"d90192b5-50e1-4c3a-92e3-5307e66caa5e","resolution":{"observed_at":"2026-08-11T21:47:36.536881Z","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":"2026-08-11T21:47:36.541438Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.541438Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:fff801f4a2175fa75a31eadf3a67e83b0fbccef12831a62f9a2a61db5670bb9c","observation_id":"3e4d32be-cb0d-48ac-a846-d98844967fc2","resolution":{"observed_at":"2026-08-11T21:47:36.541438Z","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":"2026-08-11T21:47:38.593406Z","title":"Private Data Valuation and Fair Payment in Data Marketplaces , February 2023","venue":null,"work_id":"0d6a41af-265f-4c4e-8f3b-c02dad4a75cb","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.546105Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:5234aaa47671e0a111d92da7590dbf82bf34279a3a57b1c25df5f42b06723257","observation_id":"bfdb11d0-85d9-4b02-a831-83fecb94011d","resolution":{"observed_at":"2026-08-11T21:47:38.599220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.577519Z","title":null,"venue":null,"work_id":"e8b3ec15-6cf5-4a29-8c62-05ba9e6a0378","year":1913},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.550671Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:2948a4819d92cab022d23003ce7c4254f9990dc2367c2a8c94ee22bceed33577","observation_id":"f4a3af35-dc4b-43d6-a65f-c976f736524f","resolution":{"observed_at":"2026-08-11T21:47:38.582323Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.561645Z","title":null,"venue":null,"work_id":"d0b746d7-7f5f-411c-8da8-c111614065ff","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.555361Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:a75cb9dcf3e992abf1ddbcedf06e8bd642a24d4e529bafdf902584eb59d2c3ed","observation_id":"59aee53a-efd4-4246-a797-a73468432305","resolution":{"observed_at":"2026-08-11T21:47:38.566750Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.545763Z","title":"T., Mittal, P., Song, D., and Jia, R","venue":null,"work_id":"37cadee5-1149-4f82-a05b-12b506ee42a8","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.560119Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:7fa511654a51f62557cf14e07cc84d536096aaaef82172694459bf44a4b58527","observation_id":"55d001a1-6362-44e3-9993-31518bc4b947","resolution":{"observed_at":"2026-08-11T21:47:38.550924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s40745-020-00253-5","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:47:36.649405Z","title":"A Comprehensive Survey of Loss Functions in Machine Learning","venue":null,"work_id":"1cf23e80-906c-4fa5-8486-68a6737249da","year":2022},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.565096Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:ca736ccd323c3bace1df323c3ad720a4027f303cae4fc72fe17fcaa2757b2392","observation_id":"16ad37b4-6c87-4eab-9532-352896e0d82e","resolution":{"observed_at":"2026-08-11T21:47:36.656619Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.529896Z","title":null,"venue":null,"work_id":"5dd39e87-d443-42b0-a38a-90c841b6ae17","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.570646Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:047b82e58b4111729aac0dc99aeb88fd1a4eee68e13e0487cdb0675cf6846fe6","observation_id":"5b0a6b24-bc96-4db8-b856-3d2a2b15ccd7","resolution":{"observed_at":"2026-08-11T21:47:38.534685Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2002.0226","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:47:37.105120Z","title":"S., and Bilkhu, S","venue":null,"work_id":"14cf0ba2-a13d-48c7-bbf0-281a84fd9d32","year":2002},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.575823Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:50486859f8f5e213a174a24bd1d80a0191c65e4be9dcf6396317afadf8b9abc6","observation_id":"f36c7f50-277b-4a50-a6aa-16f98bb970c0","resolution":{"observed_at":"2026-08-11T21:47:37.113090Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.513646Z","title":null,"venue":null,"work_id":"60299217-d6e5-4208-b30d-6df8494dab0e","year":2022},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.580772Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:6bd80dfb663045fc528060676727f0d05e94eaa3ccd77eb3f0650bbc74d03ead","observation_id":"a5405bb6-0ebc-4dec-be38-841c1c7d5398","resolution":{"observed_at":"2026-08-11T21:47:38.518295Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.495010Z","title":null,"venue":null,"work_id":"695e9762-3656-48ff-abf0-dcbfc857ac52","year":2021},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.585411Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:84201b4f67da528406798c0ee77c05fb9c88b46ce368bbf6107afdd51e7ed950","observation_id":"f14c1fa0-ec03-4a04-b47b-1740a4e037b5","resolution":{"observed_at":"2026-08-11T21:47:38.501590Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.475819Z","title":"S., and Low, B","venue":null,"work_id":"95988b00-49ed-4c6c-a296-a121167ce038","year":2023},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.590568Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:6a40c167ced2880399081fae4f25b36cdfd6263a8f80123cd432b3bed9a0d793","observation_id":"f077d07f-2d32-4374-bf0b-5ebcdfe4f4c5","resolution":{"observed_at":"2026-08-11T21:47:38.481061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.460018Z","title":null,"venue":null,"work_id":"f71284e9-a494-43bd-8e25-e0814c50aed3","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.595351Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:d3a3186c6928f06839ac0fff31f0fce3e0f4e54c48840348bbc2c19f0ddb7434","observation_id":"cfef9d14-c0d2-4592-a8d4-a915bff06ed7","resolution":{"observed_at":"2026-08-11T21:47:38.464841Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.443398Z","title":"E.-H., and Ravikumar, P","venue":null,"work_id":"bd7ec391-dbcb-4add-9007-6a73ec5a25ab","year":2018},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.600113Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:06d17ee17497ccfc0d812f1abe94477aaa85af0fe7b4d4f71a8cd61f26291de0","observation_id":"5d415dc8-a655-4d85-92d7-6c57249f61a5","resolution":{"observed_at":"2026-08-11T21:47:38.448476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:36.605285Z","title":"Who's responsible? Jointly quantifying the contribution of the learning algorithm and data","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.605285Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:5ba837abf13a46ca6f1b4a4752350e3150533f9f0263d0acaa25a99e5bc456bc","observation_id":"ca0d6736-32d9-408d-b01b-d871898c12c8","resolution":{"observed_at":"2026-08-11T21:47:36.605285Z","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":"2026-08-11T21:47:38.426326Z","title":"Data Valuation using Reinforcement Learning","venue":null,"work_id":"7c825c67-770b-4173-8812-c0d778be3f09","year":2020},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.610350Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:9f4c80e595c49b787d1bd32664330d673384188f6c16f8ee4c82d6379f9d2893","observation_id":"12983e67-2544-4ab3-bd24-a873d820b193","resolution":{"observed_at":"2026-08-11T21:47:38.431912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T21:47:38.410040Z","title":"Towards Data Valuation via Asymmetric Data Shapley , November 2024","venue":null,"work_id":"81ff3693-800e-4cf2-aef8-0982123da241","year":2024},"citing_paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks","version":2},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-11T21:47:36.615134Z"},"links":{"citing_paper":"/paper/2412.04158"},"observation_digest":"sha256:b40da6392c1f9b17e62977eb3556eccc5e6f4a0c1258298ff0b333136585e5e8","observation_id":"98b62b0c-5f96-43e3-b4fc-cd10d8bf6f52","resolution":{"observed_at":"2026-08-11T21:47:38.415379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.04158","last_updated":"2024-12-17T16:40:37Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T21:38:58.958621Z","submitted_at":"2024-12-05T13:46:55Z","title":"LossVal: Efficient Data Valuation for Neural Networks"},"reference_resolution":{"displayed":94,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":45,"verified_exact":11,"verified_fuzzy":37},"total_outbound_references":94},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 1 inbound Pith citation observation for arXiv:2412.04158."}