{"as_of":"2026-08-20T13:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0951452ec31709a12901a150091af73918fced97f38d10df8f1e35a4dd74a6ee","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T15:33:45.520294Z","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":"2026-07-01T00:15:09.501190Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.12628","last_updated":"2021-11-24T16:54:10Z","snapshot_observed_at":"2026-08-17T01:18:19.997228Z","submitted_at":"2021-11-24T16:54:10Z","title":"Efficient Decompositional Rule Extraction for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.12628","snapshot_observed_at":"2026-08-10T15:33:45.520294Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.14836","last_updated":"2025-01-23T18:00:05Z","snapshot_observed_at":"2026-08-19T14:14:38.111413Z","submitted_at":"2025-01-23T18:00:05Z","title":"Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-10T15:33:45.520294Z"},"links":{"cited_paper":"/paper/2111.12628","citing_paper":"/paper/2501.14836"},"observation_digest":"sha256:ed6c8fd95600b4596a0aaccd7e4117c9264ffd54d1f516c668daab141625823e","observation_id":"9d0b2707-2373-4e5d-81d7-9a9db7245f7d","resolution":{"observed_at":"2026-08-10T15:33:45.520294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12628","last_updated":"2021-11-24T16:54:10Z","snapshot_observed_at":"2026-08-17T01:18:19.997228Z","submitted_at":"2021-11-24T16:54:10Z","title":"Efficient Decompositional Rule Extraction for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2111.12628","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12628","snapshot_observed_at":"2026-07-01T00:15:09.501190Z","title":null,"venue":null,"work_id":"0fd94c54-4565-4c07-acb2-c5223367893a","year":2021},"citing_paper":{"arxiv_id":"2605.03058","last_updated":"2026-06-06T22:46:37Z","snapshot_observed_at":"2026-08-16T15:30:14.843853Z","submitted_at":"2026-05-04T18:27:37Z","title":"Neuron-Anchored Rule Extraction for Large Language Models via Contrastive Hierarchical Ablation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-08T18:55:24.214794Z"},"links":{"cited_paper":"/paper/2111.12628","citing_paper":"/paper/2605.03058"},"observation_digest":"sha256:63a6717d8fe18e58d0b2294f1ea1d6b80a48ea62349ae15f15442fda4e96df7c","observation_id":"8042bbde-95aa-4ff5-81a9-aceb0bc4e853","resolution":{"observed_at":"2026-05-09T06:05:36.234915Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12628","last_updated":"2021-11-24T16:54:10Z","snapshot_observed_at":"2026-08-17T01:18:19.997228Z","submitted_at":"2021-11-24T16:54:10Z","title":"Efficient Decompositional Rule Extraction for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2111.12628","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12628","snapshot_observed_at":"2026-07-01T00:15:09.501190Z","title":null,"venue":null,"work_id":"0fd94c54-4565-4c07-acb2-c5223367893a","year":2021},"citing_paper":{"arxiv_id":"2605.03058","last_updated":"2026-06-06T22:46:37Z","snapshot_observed_at":"2026-08-16T15:30:14.843853Z","submitted_at":"2026-05-04T18:27:37Z","title":"Neuron-Anchored Rule Extraction for Large Language Models via Contrastive Hierarchical Ablation","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-07-01T00:06:52.820343Z"},"links":{"cited_paper":"/paper/2111.12628","citing_paper":"/paper/2605.03058"},"observation_digest":"sha256:b89b50b0f0514ef5c9cfbbb623efb422e5c2b743c8eb5c46589b9fa888200043","observation_id":"d3fbce4e-709a-40fe-8718-237f70c9571a","resolution":{"observed_at":"2026-07-01T00:15:09.502497Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12628","last_updated":"2021-11-24T16:54:10Z","snapshot_observed_at":"2026-08-17T01:18:19.997228Z","submitted_at":"2021-11-24T16:54:10Z","title":"Efficient Decompositional Rule Extraction for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2111.12628","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12628","snapshot_observed_at":"2026-07-01T00:15:09.501190Z","title":null,"venue":null,"work_id":"0fd94c54-4565-4c07-acb2-c5223367893a","year":2021},"citing_paper":{"arxiv_id":"2605.29478","last_updated":"2026-05-28T07:07:01Z","snapshot_observed_at":"2026-07-06T23:38:56.014434Z","submitted_at":"2026-05-28T07:07:01Z","title":"Evolutionary Rule Extraction from Corporate Default Prediction Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-29T00:04:59.243151Z"},"links":{"cited_paper":"/paper/2111.12628","citing_paper":"/paper/2605.29478"},"observation_digest":"sha256:2cfd851adff159dfec9cc5a7de121e4f7e6679ad47624053f647412eadeaf3f1","observation_id":"9e5bbbaa-e63b-4bad-ae04-cb99d59988ef","resolution":{"observed_at":"2026-06-29T00:12:50.242993Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2111.12628/citation-record","integrity":"/paper/2111.12628/integrity","json":"/paper/2111.12628/citation-record.json","paper":"/paper/2111.12628"},"outbound":[],"paper":{"arxiv_id":"2111.12628","last_updated":"2021-11-24T16:54:10Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T01:18:19.997228Z","submitted_at":"2021-11-24T16:54:10Z","title":"Efficient Decompositional Rule Extraction for Deep Neural Networks"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2111.12628."}