{"as_of":"2026-08-20T13:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:514be873d7e9f3f3c9409a8f51f9ddc0ccd4aef8da34ed8efc958344dacb100c","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":"2026-08-20T06:33:59.587034+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":"2026-08-11T11:06:13.672058Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T04:08:52.690795Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1906.03193","last_updated":"2019-06-07T16:00:35Z","snapshot_observed_at":"2026-08-14T16:19:08.012868Z","submitted_at":"2019-06-07T16:00:35Z","title":"Fighting Quantization Bias With Bias","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.03193","snapshot_observed_at":"2026-08-11T11:06:13.672058Z","title":"Fighting quantization bias with bias","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2412.15846","last_updated":"2024-12-20T12:38:18Z","snapshot_observed_at":"2026-08-15T08:04:09.770140Z","submitted_at":"2024-12-20T12:38:18Z","title":"Improving Quantization-aware Training of Low-Precision Network via Block Replacement on Full-Precision Counterpart","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T11:06:13.672058Z"},"links":{"cited_paper":"/paper/1906.03193","citing_paper":"/paper/2412.15846"},"observation_digest":"sha256:999ea39ef5174926f1a3544e87bf796815ec4a4c24c686076dd0484ed89c2acd","observation_id":"00089428-a456-4321-8730-0070f23b8719","resolution":{"observed_at":"2026-08-11T11:06:13.672058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.03193","last_updated":"2019-06-07T16:00:35Z","snapshot_observed_at":"2026-08-14T16:19:08.012868Z","submitted_at":"2019-06-07T16:00:35Z","title":"Fighting Quantization Bias With Bias","version":1},"cited_work":{"arxiv_id":"1906.03193","doi":null,"metadata_source":"pith","pith_arxiv_id":"1906.03193","snapshot_observed_at":"2026-08-07T04:08:52.690795Z","title":"Fighting Quantization Bias With Bias","venue":"cs.LG","work_id":"03de70d6-040d-418a-8f39-52eb2c82eef5","year":2019},"citing_paper":{"arxiv_id":"2506.11728","last_updated":"2025-06-13T12:40:16Z","snapshot_observed_at":"2026-08-17T04:39:10.664058Z","submitted_at":"2025-06-13T12:40:16Z","title":"The Cambrian Explosion of Mixed-Precision Matrix Multiplication for Quantized Deep Learning Inference","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T04:08:51.493476Z"},"links":{"cited_paper":"/paper/1906.03193","citing_paper":"/paper/2506.11728"},"observation_digest":"sha256:ea5d8a7e902d9d5c4d8122e8d4ab37c9be2c6117ac917f8687c3d00b51564263","observation_id":"7cc5e380-f76a-4f41-a07d-b9bbf518af48","resolution":{"observed_at":"2026-08-07T04:08:52.771396Z","resolver_source":"local_arxiv","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":"1906.03193","last_updated":"2019-06-07T16:00:35Z","snapshot_observed_at":"2026-08-14T16:19:08.012868Z","submitted_at":"2019-06-07T16:00:35Z","title":"Fighting Quantization Bias With Bias","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.03193","snapshot_observed_at":"2026-08-01T16:07:54.202817Z","title":"arXiv preprint arXiv:1906.03193 (2019)","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2607.18101","last_updated":"2026-07-20T16:02:58Z","snapshot_observed_at":"2026-08-06T22:42:40.727710Z","submitted_at":"2026-07-20T16:02:58Z","title":"Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T16:07:54.202817Z"},"links":{"cited_paper":"/paper/1906.03193","citing_paper":"/paper/2607.18101"},"observation_digest":"sha256:5a316afd874000b8bb31f6211dd68e14b77f59ed32116ec45bb9b6bdca46a41c","observation_id":"5635df39-5f23-4baa-83a0-03e553d8b4cf","resolution":{"observed_at":"2026-08-01T16:07:54.202817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1906.03193/citation-record","integrity":"/paper/1906.03193/integrity","json":"/paper/1906.03193/citation-record.json","paper":"/paper/1906.03193"},"outbound":[],"paper":{"arxiv_id":"1906.03193","last_updated":"2019-06-07T16:00:35Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T16:19:08.012868Z","submitted_at":"2019-06-07T16:00:35Z","title":"Fighting Quantization Bias With Bias"},"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 3 inbound Pith citation observations for arXiv:1906.03193."}