{"as_of":"2026-08-12T22:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8024086ee8be3fde1d799da8c5ff98ac4e47c9487908a1cf324b1229e536ecc","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":"2026-08-12T06:34:41.77262+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":"2026-08-09T04:19:07.911805Z","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":"2026-05-23T00:05:13.443404Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.15512","last_updated":"2021-06-14T18:59:25Z","snapshot_observed_at":"2026-08-12T07:43:46.810692Z","submitted_at":"2020-06-28T05:09:18Z","title":"Parallel Weighted Model Counting with Tensor Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.15512","snapshot_observed_at":"2026-08-09T04:19:07.911805Z","title":"M.; and Vardi, M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.03702","last_updated":"2025-02-06T01:24:32Z","snapshot_observed_at":"2026-08-09T04:01:10.392501Z","submitted_at":"2025-02-06T01:24:32Z","title":"Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-09T04:19:07.911805Z"},"links":{"cited_paper":"/paper/2006.15512","citing_paper":"/paper/2502.03702"},"observation_digest":"sha256:75d403ef417929fcf648ff7c56c426c5708aebe43c84c4c42d8ed90adcdb05a1","observation_id":"1381e6f4-0a5f-42ed-b3a8-ac58d7199471","resolution":{"observed_at":"2026-08-09T04:19:07.911805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.15512","last_updated":"2021-06-14T18:59:25Z","snapshot_observed_at":"2026-08-12T07:43:46.810692Z","submitted_at":"2020-06-28T05:09:18Z","title":"Parallel Weighted Model Counting with Tensor Networks","version":2},"cited_work":{"arxiv_id":"2006.15512","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.15512","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Par- allel Weighted Model Counting with Tensor Networks","venue":null,"work_id":"f20c4ae1-9ff7-4add-8012-b3f905c9e821","year":2021},"citing_paper":{"arxiv_id":"2503.07720","last_updated":"2026-04-14T18:00:04Z","snapshot_observed_at":"2026-07-06T20:50:09.622181Z","submitted_at":"2025-03-10T18:00:02Z","title":"Counting with the quantum alternating operator ansatz","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-23T00:04:44.921863Z"},"links":{"cited_paper":"/paper/2006.15512","citing_paper":"/paper/2503.07720"},"observation_digest":"sha256:8010015697a7aead80b0a46bd1805b792da74b0938c40c6786fafae8c57c3395","observation_id":"a8426125-cf94-4cf4-9df1-bd45c327a6df","resolution":{"observed_at":"2026-05-23T00:05:13.446587Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.15512","last_updated":"2021-06-14T18:59:25Z","snapshot_observed_at":"2026-08-12T07:43:46.810692Z","submitted_at":"2020-06-28T05:09:18Z","title":"Parallel Weighted Model Counting with Tensor Networks","version":2},"cited_work":{"arxiv_id":"2006.15512","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.15512","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Par- allel Weighted Model Counting with Tensor Networks","venue":null,"work_id":"f20c4ae1-9ff7-4add-8012-b3f905c9e821","year":2021},"citing_paper":{"arxiv_id":"2604.25321","last_updated":"2026-04-28T07:36:44Z","snapshot_observed_at":"2026-07-06T23:11:11.827339Z","submitted_at":"2026-04-28T07:36:44Z","title":"Fixed-parameter tractable inference for discrete probabilistic programs, via string diagram algebraisation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-07T15:29:19.489764Z"},"links":{"cited_paper":"/paper/2006.15512","citing_paper":"/paper/2604.25321"},"observation_digest":"sha256:b385b9699be353796a05246654085d1dfac936ff5e13c8d97ca620ea5379e384","observation_id":"2b8f8f04-40e4-4fda-a26b-e2f7d4575841","resolution":{"observed_at":"2026-05-12T00:21:22.684402Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.15512","last_updated":"2021-06-14T18:59:25Z","snapshot_observed_at":"2026-08-12T07:43:46.810692Z","submitted_at":"2020-06-28T05:09:18Z","title":"Parallel Weighted Model Counting with Tensor Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.15512","snapshot_observed_at":"2026-07-11T21:23:45.418655Z","title":"arXiv preprint arXiv:2006.15512 , year =","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.04142","last_updated":"2026-07-05T07:02:03Z","snapshot_observed_at":"2026-08-04T05:24:43.108154Z","submitted_at":"2026-07-05T07:02:03Z","title":"CSB: A Counting and Sampling tool for Bit-vectors","version":1},"reference_index":106,"source":"arxiv_source","source_observed_at":"2026-07-11T21:23:45.418655Z"},"links":{"cited_paper":"/paper/2006.15512","citing_paper":"/paper/2607.04142"},"observation_digest":"sha256:5501863818b0c305c3791dbfc7e4f8ed195a5e4bc3d9f250bd558457dd0b3df3","observation_id":"ed587897-7b1a-470e-95ca-e33a87245b26","resolution":{"observed_at":"2026-07-11T21:23:45.418655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2006.15512/citation-record","integrity":"/paper/2006.15512/integrity","json":"/paper/2006.15512/citation-record.json","paper":"/paper/2006.15512"},"outbound":[],"paper":{"arxiv_id":"2006.15512","last_updated":"2021-06-14T18:59:25Z","latest_version":2,"primary_category":"cs.DS","snapshot_observed_at":"2026-08-12T07:43:46.810692Z","submitted_at":"2020-06-28T05:09:18Z","title":"Parallel Weighted Model Counting with Tensor 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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2006.15512."}