{"as_of":"2026-08-09T02:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2346ca39e014e68f05ad540a78f56a95418a6b83b7da0a6337e7ecf686a71971","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:01:56.847342Z","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":"2026-05-24T06:29:00.647295Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.14379","last_updated":"2024-08-19T16:37:36Z","snapshot_observed_at":"2026-08-07T03:23:36.892399Z","submitted_at":"2024-03-21T13:12:33Z","title":"Tensor network compressibility of convolutional models","version":2},"cited_work":{"arxiv_id":"2403.14379","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.14379","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Singh, S","venue":null,"work_id":"842f7ec3-af0b-4997-8cc4-44d0498b0964","year":2024},"citing_paper":{"arxiv_id":"2309.06577","last_updated":"2026-05-01T10:56:08Z","snapshot_observed_at":"2026-08-02T16:55:18.223163Z","submitted_at":"2023-09-11T08:05:09Z","title":"Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms","version":5},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-24T06:28:33.255228Z"},"links":{"cited_paper":"/paper/2403.14379","citing_paper":"/paper/2309.06577"},"observation_digest":"sha256:0b128afea8bd45a1edf85d618628bd191499afd8ba6b8613f4243ca4ee5c39c7","observation_id":"b49239e5-4a70-4bf4-99b3-a3b3fdb6046f","resolution":{"observed_at":"2026-05-24T06:29:00.651194Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14379","last_updated":"2024-08-19T16:37:36Z","snapshot_observed_at":"2026-08-07T03:23:36.892399Z","submitted_at":"2024-03-21T13:12:33Z","title":"Tensor network compressibility of convolutional models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14379","snapshot_observed_at":"2026-08-07T14:01:56.847342Z","title":"Tensor network compressibility of convolutional models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20132","last_updated":"2025-05-26T15:32:28Z","snapshot_observed_at":"2026-08-07T13:56:15.578541Z","submitted_at":"2025-05-26T15:32:28Z","title":"Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:56.847342Z"},"links":{"cited_paper":"/paper/2403.14379","citing_paper":"/paper/2505.20132"},"observation_digest":"sha256:ab4f166e9de632d46452114c90acc910dd06ffb7fcab7d3e088ea37d28ba9c19","observation_id":"b90ff0e6-6803-4e5d-8d13-4316a1ce647d","resolution":{"observed_at":"2026-08-07T14:01:56.847342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14379","last_updated":"2024-08-19T16:37:36Z","snapshot_observed_at":"2026-08-07T03:23:36.892399Z","submitted_at":"2024-03-21T13:12:33Z","title":"Tensor network compressibility of convolutional models","version":2},"cited_work":{"arxiv_id":"2403.14379","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.14379","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Singh, S","venue":null,"work_id":"842f7ec3-af0b-4997-8cc4-44d0498b0964","year":2024},"citing_paper":{"arxiv_id":"2605.19842","last_updated":"2026-05-19T13:37:53Z","snapshot_observed_at":"2026-07-06T23:30:30.141040Z","submitted_at":"2026-05-19T13:37:53Z","title":"Fast Tensorization of Neural Networks via Slice-wise Feature Distillation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-20T06:53:09.576838Z"},"links":{"cited_paper":"/paper/2403.14379","citing_paper":"/paper/2605.19842"},"observation_digest":"sha256:5c99d8369dbf42309b17da76220af3b49d174f8e26cdfee85428fe1c06e2aa5a","observation_id":"6dba08cb-0d1f-4755-920a-2607179f7aaf","resolution":{"observed_at":"2026-05-20T06:53:22.944956Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.14379/citation-record","integrity":"/paper/2403.14379/integrity","json":"/paper/2403.14379/citation-record.json","paper":"/paper/2403.14379"},"outbound":[],"paper":{"arxiv_id":"2403.14379","last_updated":"2024-08-19T16:37:36Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T03:23:36.892399Z","submitted_at":"2024-03-21T13:12:33Z","title":"Tensor network compressibility of convolutional models"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.14379."}