{"as_of":"2026-08-16T07:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:97ad9fdb814441c21f21a7766b408be6705939e4cbba3ef9574d52b085adfc46","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T16:20:02.848229Z","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":"2026-07-04T15:29:54.835575Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2108.12659","last_updated":"2022-02-20T16:47:22Z","snapshot_observed_at":"2026-08-13T18:21:06.217983Z","submitted_at":"2021-08-28T14:35:41Z","title":"DKM: Differentiable K-Means Clustering Layer for Neural Network Compression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.12659","snapshot_observed_at":"2026-08-12T16:20:02.848229Z","title":"A., Adya, S., and Rastegari, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17720","last_updated":"2025-05-16T00:56:30Z","snapshot_observed_at":"2026-08-14T21:38:16.727688Z","submitted_at":"2024-11-20T19:44:26Z","title":"MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-12T16:20:02.848229Z"},"links":{"cited_paper":"/paper/2108.12659","citing_paper":"/paper/2411.17720"},"observation_digest":"sha256:849e30deb7aeb4fa5fa578b2c1838614be6489cbcfb1383a5c5f28f9bc88500a","observation_id":"211ed60a-b480-419d-942b-dcae66d7d2f5","resolution":{"observed_at":"2026-08-12T16:20:02.848229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.12659","last_updated":"2022-02-20T16:47:22Z","snapshot_observed_at":"2026-08-13T18:21:06.217983Z","submitted_at":"2021-08-28T14:35:41Z","title":"DKM: Differentiable K-Means Clustering Layer for Neural Network Compression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.12659","snapshot_observed_at":"2026-08-11T19:32:44.203028Z","title":"Dkm: Differentiable k-means cluster- ing layer for neural network compression","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.06875","last_updated":"2024-12-09T16:17:22Z","snapshot_observed_at":"2026-08-12T09:41:19.134504Z","submitted_at":"2024-12-09T16:17:22Z","title":"VQ4ALL: Efficient Neural Network Representation via a Universal Codebook","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T19:32:44.203028Z"},"links":{"cited_paper":"/paper/2108.12659","citing_paper":"/paper/2412.06875"},"observation_digest":"sha256:ab65c91b479b8b2380d68c4129a4c683d5efe5d630854056ce3125f97b4f9ca2","observation_id":"5ece04c2-c9f9-4e66-84a8-c3498454a5c8","resolution":{"observed_at":"2026-08-11T19:32:44.203028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.12659","last_updated":"2022-02-20T16:47:22Z","snapshot_observed_at":"2026-08-13T18:21:06.217983Z","submitted_at":"2021-08-28T14:35:41Z","title":"DKM: Differentiable K-Means Clustering Layer for Neural Network Compression","version":4},"cited_work":{"arxiv_id":"2108.12659","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.12659","snapshot_observed_at":"2026-07-04T15:29:54.835575Z","title":"DKM: Differentiable K-Means Clustering Layer for Neural Network Compression","venue":null,"work_id":"aecc11be-7788-40d3-a59c-d861e40d7c8e","year":2021},"citing_paper":{"arxiv_id":"2604.23172","last_updated":"2026-04-25T06:55:04Z","snapshot_observed_at":"2026-08-10T21:27:25.265618Z","submitted_at":"2026-04-25T06:55:04Z","title":"Efficient VQ-QAT and Mixed Vector/Linear quantized Neural Networks","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-08T08:25:32.792120Z"},"links":{"cited_paper":"/paper/2108.12659","citing_paper":"/paper/2604.23172"},"observation_digest":"sha256:741a61b9fe894449f8c45cbaf90239880ee684d02f868ec37dece882b85ec35f","observation_id":"59950d40-cc03-475f-9fb8-f8e8dbbcc3b3","resolution":{"observed_at":"2026-05-11T20:36:11.853458Z","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":"2108.12659","last_updated":"2022-02-20T16:47:22Z","snapshot_observed_at":"2026-08-13T18:21:06.217983Z","submitted_at":"2021-08-28T14:35:41Z","title":"DKM: Differentiable K-Means Clustering Layer for Neural Network Compression","version":4},"cited_work":{"arxiv_id":"2108.12659","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.12659","snapshot_observed_at":"2026-07-04T15:29:54.835575Z","title":"DKM: Differentiable K-Means Clustering Layer for Neural Network Compression","venue":null,"work_id":"aecc11be-7788-40d3-a59c-d861e40d7c8e","year":2021},"citing_paper":{"arxiv_id":"2604.23190","last_updated":"2026-06-04T08:08:25Z","snapshot_observed_at":"2026-08-13T07:38:21.225577Z","submitted_at":"2026-04-25T07:45:41Z","title":"RAT: RunAnyThing via Fully Automated Environment Configuration","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-04T15:23:35.258545Z"},"links":{"cited_paper":"/paper/2108.12659","citing_paper":"/paper/2604.23190"},"observation_digest":"sha256:99c30e283b5c446cc3b5d93332b74fe48bdf417146b703bf1e3730b7bce71012","observation_id":"e98574b9-6649-4fb3-aab0-065fbdb20d66","resolution":{"observed_at":"2026-07-04T15:29:54.837652Z","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":"2108.12659","last_updated":"2022-02-20T16:47:22Z","snapshot_observed_at":"2026-08-13T18:21:06.217983Z","submitted_at":"2021-08-28T14:35:41Z","title":"DKM: Differentiable K-Means Clustering Layer for Neural Network Compression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.12659","snapshot_observed_at":"2026-08-01T16:42:35.984424Z","title":"arXiv preprint arXiv:2108.12659 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26404","last_updated":"2026-07-29T02:35:55Z","snapshot_observed_at":"2026-08-12T13:35:25.099947Z","submitted_at":"2026-07-29T02:35:55Z","title":"Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts","version":1},"reference_index":279,"source":"arxiv_source","source_observed_at":"2026-08-01T16:42:35.984424Z"},"links":{"cited_paper":"/paper/2108.12659","citing_paper":"/paper/2607.26404"},"observation_digest":"sha256:354ed5bc265fb782710c235df00a68c7b299d56998f59401f5665bcbfb0805ea","observation_id":"2d78988c-6e18-4557-8ab5-f5ff77ffc3ec","resolution":{"observed_at":"2026-08-01T16:42:35.984424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2108.12659/citation-record","integrity":"/paper/2108.12659/integrity","json":"/paper/2108.12659/citation-record.json","paper":"/paper/2108.12659"},"outbound":[],"paper":{"arxiv_id":"2108.12659","last_updated":"2022-02-20T16:47:22Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T18:21:06.217983Z","submitted_at":"2021-08-28T14:35:41Z","title":"DKM: Differentiable K-Means Clustering Layer for Neural Network Compression"},"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 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2108.12659."}