{"as_of":"2026-08-07T18:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bc7f9a44b59f91e0489986572848e19b93307274195b7f1e13dc1c01b1d6cf6e","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T15:09:13.647248Z","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":"2026-08-06T17:30:15.223380Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.02047","last_updated":"2023-08-07T06:21:31Z","snapshot_observed_at":"2026-07-06T15:50:26.113234Z","submitted_at":"2023-07-05T06:05:36Z","title":"CAME: Confidence-guided Adaptive Memory Efficient Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02047","snapshot_observed_at":"2026-08-07T15:09:13.647248Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.16363","last_updated":"2025-05-22T08:16:48Z","snapshot_observed_at":"2026-08-07T15:00:34.424850Z","submitted_at":"2025-05-22T08:16:48Z","title":"AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T15:09:13.647248Z"},"links":{"cited_paper":"/paper/2307.02047","citing_paper":"/paper/2505.16363"},"observation_digest":"sha256:5f767a0ea2c705410db73740f205f4f8801601f79d8d236f737f5aaaa325aa66","observation_id":"3f831b73-1e7d-4621-95c5-bdbe9eb64700","resolution":{"observed_at":"2026-08-07T15:09:13.647248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02047","last_updated":"2023-08-07T06:21:31Z","snapshot_observed_at":"2026-07-06T15:50:26.113234Z","submitted_at":"2023-07-05T06:05:36Z","title":"CAME: Confidence-guided Adaptive Memory Efficient Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02047","snapshot_observed_at":"2026-08-07T11:57:29.152833Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01049","last_updated":"2025-06-01T15:30:37Z","snapshot_observed_at":"2026-08-07T11:49:53.737012Z","submitted_at":"2025-06-01T15:30:37Z","title":"Taming LLMs by Scaling Learning Rates with Gradient Grouping","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T11:57:29.152833Z"},"links":{"cited_paper":"/paper/2307.02047","citing_paper":"/paper/2506.01049"},"observation_digest":"sha256:2766d658cc10a79afa48f085654edcb067ab4c87502d830ebd20318dc6ffc134","observation_id":"dfa9f3e3-acae-45c6-8047-415b0567a2ef","resolution":{"observed_at":"2026-08-07T11:57:29.152833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02047","last_updated":"2023-08-07T06:21:31Z","snapshot_observed_at":"2026-07-06T15:50:26.113234Z","submitted_at":"2023-07-05T06:05:36Z","title":"CAME: Confidence-guided Adaptive Memory Efficient Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02047","snapshot_observed_at":"2026-08-06T18:35:40.188746Z","title":"Came: Confidence-guided adaptive memory efficient optimization","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08091","last_updated":"2025-07-10T18:04:52Z","snapshot_observed_at":"2026-08-06T18:25:24.570454Z","submitted_at":"2025-07-10T18:04:52Z","title":"Low-rank Momentum Factorization for Memory Efficient Training","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T18:35:40.188746Z"},"links":{"cited_paper":"/paper/2307.02047","citing_paper":"/paper/2507.08091"},"observation_digest":"sha256:bc8b620eb20949f1d0906f48ce98243953abb85523c130b85e3eae64c4971cc1","observation_id":"bbe63c38-2c25-47b1-a48b-e8cd765c3073","resolution":{"observed_at":"2026-08-06T18:35:40.188746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02047","last_updated":"2023-08-07T06:21:31Z","snapshot_observed_at":"2026-07-06T15:50:26.113234Z","submitted_at":"2023-07-05T06:05:36Z","title":"CAME: Confidence-guided Adaptive Memory Efficient Optimization","version":2},"cited_work":{"arxiv_id":"2307.02047","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.02047","snapshot_observed_at":"2026-08-06T17:30:15.223380Z","title":"CAME: Confidence-guided Adaptive Memory Efficient Optimization","venue":"cs.CL","work_id":"c58d72e4-e2d5-44d3-90d5-2666c94c3dc6","year":2023},"citing_paper":{"arxiv_id":"2507.10855","last_updated":"2025-07-14T23:03:24Z","snapshot_observed_at":"2026-08-07T04:20:33.932082Z","submitted_at":"2025-07-14T23:03:24Z","title":"Sparse Fine-Tuning of Transformers for Generative Tasks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T17:30:14.868394Z"},"links":{"cited_paper":"/paper/2307.02047","citing_paper":"/paper/2507.10855"},"observation_digest":"sha256:b37d6954d7db3e8c185060414bd32c656bf0560065c3c9c4d0ae22b5f2891463","observation_id":"73856219-331c-496e-bcdb-fb41f05e0c1f","resolution":{"observed_at":"2026-08-06T17:30:15.228311Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.02047/citation-record","integrity":"/paper/2307.02047/integrity","json":"/paper/2307.02047/citation-record.json","paper":"/paper/2307.02047"},"outbound":[],"paper":{"arxiv_id":"2307.02047","last_updated":"2023-08-07T06:21:31Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T15:50:26.113234Z","submitted_at":"2023-07-05T06:05:36Z","title":"CAME: Confidence-guided Adaptive Memory Efficient Optimization"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.02047."}