{"as_of":"2026-08-11T06:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:61d7b4f5359011e0ddc3fe6c6b72c98c7646f4ca3bb70d4dfffa734c5208ec98","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T01:05:45.570929Z","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":"2026-05-11T17:21:08.986637Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.11257","last_updated":"2024-06-17T06:47:29Z","snapshot_observed_at":"2026-08-11T03:41:54.038559Z","submitted_at":"2024-06-17T06:47:29Z","title":"ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11257","snapshot_observed_at":"2026-08-07T01:05:45.570929Z","title":"ExCP: Extreme LLM Checkpoint Compression via Weight -Momentum Joint Shrinking","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12000","last_updated":"2025-06-13T17:54:42Z","snapshot_observed_at":"2026-08-07T00:56:09.753494Z","submitted_at":"2025-06-13T17:54:42Z","title":"An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T01:05:45.570929Z"},"links":{"cited_paper":"/paper/2406.11257","citing_paper":"/paper/2506.12000"},"observation_digest":"sha256:872fc68f500a2757723f7713cdf52f7192f4b7461f9d0480e627ae64a993125a","observation_id":"f52bc883-1b97-421e-bc4f-0cf90db7760e","resolution":{"observed_at":"2026-08-07T01:05:45.570929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11257","last_updated":"2024-06-17T06:47:29Z","snapshot_observed_at":"2026-08-11T03:41:54.038559Z","submitted_at":"2024-06-17T06:47:29Z","title":"ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking","version":1},"cited_work":{"arxiv_id":"2406.11257","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11257","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CCL-D PPoPP ’26, January 31 – February 4, 2026, Sydney, NSW, Australia","venue":null,"work_id":"2be503f9-6166-465e-8fe4-aea729256135","year":2024},"citing_paper":{"arxiv_id":"2605.04478","last_updated":"2026-05-06T04:07:27Z","snapshot_observed_at":"2026-07-31T21:45:32.739840Z","submitted_at":"2026-05-06T04:07:27Z","title":"CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-08T17:40:21.284730Z"},"links":{"cited_paper":"/paper/2406.11257","citing_paper":"/paper/2605.04478"},"observation_digest":"sha256:3f15e5aace712cb51fa6db42b9502f802cda2524c12433c7b8eda81881cf1bfa","observation_id":"fda106d7-55fa-46df-a666-2d3f6ece4f42","resolution":{"observed_at":"2026-05-11T17:21:08.994222Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.11257/citation-record","integrity":"/paper/2406.11257/integrity","json":"/paper/2406.11257/citation-record.json","paper":"/paper/2406.11257"},"outbound":[],"paper":{"arxiv_id":"2406.11257","last_updated":"2024-06-17T06:47:29Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T03:41:54.038559Z","submitted_at":"2024-06-17T06:47:29Z","title":"ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.11257."}