{"as_of":"2026-08-17T01:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b83d734773dd718311a9d2c62fd40a52cd640a5d236841d5fa0808d8b6824e12","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:40:01.479454Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T03:35:21.063039Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.07253","last_updated":"2020-06-12T15:07:08Z","snapshot_observed_at":"2026-08-05T10:40:41.198153Z","submitted_at":"2020-06-12T15:07:08Z","title":"Dynamic Model Pruning with Feedback","version":1},"cited_work":{"arxiv_id":"2006.07253","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.07253","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U., Barba, L., Dmitriev, D., and Jaggi, M","venue":null,"work_id":"50110d74-65ed-40c7-b3e1-a790304e10bb","year":2020},"citing_paper":{"arxiv_id":"2502.07189","last_updated":"2026-04-29T23:02:03Z","snapshot_observed_at":"2026-08-15T03:17:02.292673Z","submitted_at":"2025-02-11T02:31:04Z","title":"Exploring Vision Neural Network Pruning via Screening Methodology","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-23T03:33:15.015365Z"},"links":{"cited_paper":"/paper/2006.07253","citing_paper":"/paper/2502.07189"},"observation_digest":"sha256:732d12ba1d7a9a8660ae015f48c088203f88079c2ac5b6b177f7cb41a7b4584c","observation_id":"bce40895-0488-482b-acbd-aee01177f8df","resolution":{"observed_at":"2026-05-23T03:35:21.065410Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07253","last_updated":"2020-06-12T15:07:08Z","snapshot_observed_at":"2026-08-05T10:40:41.198153Z","submitted_at":"2020-06-12T15:07:08Z","title":"Dynamic Model Pruning with Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07253","snapshot_observed_at":"2026-08-16T12:40:01.479454Z","title":"Dynamic model pruning with feedback,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2504.12471","last_updated":"2025-04-16T20:18:15Z","snapshot_observed_at":"2026-08-16T12:28:41.569237Z","submitted_at":"2025-04-16T20:18:15Z","title":"You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:01.479454Z"},"links":{"cited_paper":"/paper/2006.07253","citing_paper":"/paper/2504.12471"},"observation_digest":"sha256:1753d4a2ce6ac62f16c463aa94e261093d65e01f78038e50ad018235b58104d5","observation_id":"eeb14255-c24c-408c-8437-a2b1da53971e","resolution":{"observed_at":"2026-08-16T12:40:01.479454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07253","last_updated":"2020-06-12T15:07:08Z","snapshot_observed_at":"2026-08-05T10:40:41.198153Z","submitted_at":"2020-06-12T15:07:08Z","title":"Dynamic Model Pruning with Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07253","snapshot_observed_at":"2026-08-07T05:27:08.079959Z","title":"arXiv preprint arXiv:2006.07253 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.07975","last_updated":"2025-06-09T17:49:29Z","snapshot_observed_at":"2026-08-13T08:47:24.921059Z","submitted_at":"2025-06-09T17:49:29Z","title":"Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:27:08.079959Z"},"links":{"cited_paper":"/paper/2006.07253","citing_paper":"/paper/2506.07975"},"observation_digest":"sha256:f1159167c35523c58a1e8ebe2ecdc09bf685643726d192075d04d927daea7875","observation_id":"a0153aa3-4d9d-4222-9c95-bc05c720369a","resolution":{"observed_at":"2026-08-07T05:27:08.079959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07253","last_updated":"2020-06-12T15:07:08Z","snapshot_observed_at":"2026-08-05T10:40:41.198153Z","submitted_at":"2020-06-12T15:07:08Z","title":"Dynamic Model Pruning with Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07253","snapshot_observed_at":"2026-08-06T17:48:04.859430Z","title":"Stich, Luis Barba, Daniil Dmitriev, and Martin Jaggi","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2507.09940","last_updated":"2025-07-14T05:29:16Z","snapshot_observed_at":"2026-08-06T17:41:15.392943Z","submitted_at":"2025-07-14T05:29:16Z","title":"Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:48:04.859430Z"},"links":{"cited_paper":"/paper/2006.07253","citing_paper":"/paper/2507.09940"},"observation_digest":"sha256:bc662c610bf3980c3f8c6194b9c5d3f5f3b6698e341554ab81d60ad629663861","observation_id":"317a45d5-0056-4dcd-ae9a-69be752dac3e","resolution":{"observed_at":"2026-08-06T17:48:04.859430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07253","last_updated":"2020-06-12T15:07:08Z","snapshot_observed_at":"2026-08-05T10:40:41.198153Z","submitted_at":"2020-06-12T15:07:08Z","title":"Dynamic Model Pruning with Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07253","snapshot_observed_at":"2026-08-06T11:27:32.145656Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.02840","last_updated":"2025-08-08T02:51:44Z","snapshot_observed_at":"2026-08-08T14:33:53.469238Z","submitted_at":"2025-07-30T13:55:28Z","title":"Resource-Efficient Automatic Software Vulnerability Assessment via Knowledge Distillation and Particle Swarm Optimization","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T11:27:32.145656Z"},"links":{"cited_paper":"/paper/2006.07253","citing_paper":"/paper/2508.02840"},"observation_digest":"sha256:ce5dc62ce078a6a589dd14719334eacdccc021f9a467f48b0919dab4f0cc1027","observation_id":"657713f1-a30a-412c-9774-82892e18e2a5","resolution":{"observed_at":"2026-08-06T11:27:32.145656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07253","last_updated":"2020-06-12T15:07:08Z","snapshot_observed_at":"2026-08-05T10:40:41.198153Z","submitted_at":"2020-06-12T15:07:08Z","title":"Dynamic Model Pruning with Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07253","snapshot_observed_at":"2026-08-05T17:14:00.364260Z","title":"arXiv preprint arXiv:2006.07253 (2020)","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2508.16863","last_updated":"2025-08-23T01:21:46Z","snapshot_observed_at":"2026-08-11T22:19:14.343987Z","submitted_at":"2025-08-23T01:21:46Z","title":"Delta-SVD: Efficient Compression for Personalized Text-to-Image Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T17:14:00.364260Z"},"links":{"cited_paper":"/paper/2006.07253","citing_paper":"/paper/2508.16863"},"observation_digest":"sha256:7fc252996a05e96cbba4cc630e3e8960abe36ab1e85320abb14f27d0ad1c12bb","observation_id":"bad9b1ae-20a6-40f8-bad8-c0b9c8a53981","resolution":{"observed_at":"2026-08-05T17:14:00.364260Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07253","last_updated":"2020-06-12T15:07:08Z","snapshot_observed_at":"2026-08-05T10:40:41.198153Z","submitted_at":"2020-06-12T15:07:08Z","title":"Dynamic Model Pruning with Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07253","snapshot_observed_at":"2026-08-04T08:50:46.729246Z","title":"Liu, L., Dong, C., Liu, X., Yu, B., and Gao, J","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2510.18784","last_updated":"2026-06-18T13:37:57Z","snapshot_observed_at":"2026-08-15T19:52:35.598376Z","submitted_at":"2025-10-21T16:33:57Z","title":"CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T08:50:46.729246Z"},"links":{"cited_paper":"/paper/2006.07253","citing_paper":"/paper/2510.18784"},"observation_digest":"sha256:c943e53a3a502d19909424501de12c46833e1eb57c7cb1b12c7fdb21cf183af4","observation_id":"cc3a75a6-2cab-4d53-a16e-f1d7a3c49565","resolution":{"observed_at":"2026-08-04T08:50:46.729246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07253","last_updated":"2020-06-12T15:07:08Z","snapshot_observed_at":"2026-08-05T10:40:41.198153Z","submitted_at":"2020-06-12T15:07:08Z","title":"Dynamic Model Pruning with Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07253","snapshot_observed_at":"2026-08-02T05:10:53.893242Z","title":"Dynamic model pruning with feedback,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.13463","last_updated":"2026-07-15T05:52:13Z","snapshot_observed_at":"2026-08-16T06:19:11.842983Z","submitted_at":"2026-07-15T05:52:13Z","title":"Compositional Zero-Shot Recognition based on Tangent Space Disentanglement for Composite Modulation Signals","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-02T05:10:53.893242Z"},"links":{"cited_paper":"/paper/2006.07253","citing_paper":"/paper/2607.13463"},"observation_digest":"sha256:d8c1032bceacd80d60f95b7b3effb0de2f84d4fc9825a4bab8543c40b525f8f6","observation_id":"25eb551e-97e2-458b-acbb-547225225f2b","resolution":{"observed_at":"2026-08-02T05:10:53.893242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2006.07253/citation-record","integrity":"/paper/2006.07253/integrity","json":"/paper/2006.07253/citation-record.json","paper":"/paper/2006.07253"},"outbound":[],"paper":{"arxiv_id":"2006.07253","last_updated":"2020-06-12T15:07:08Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T10:40:41.198153Z","submitted_at":"2020-06-12T15:07:08Z","title":"Dynamic Model Pruning with Feedback"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2006.07253."}