{"as_of":"2026-08-08T22:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:63c7a2a806da4b4381ab2580858696f159b3a5fa82f399e4101719e295014f04","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T14:43:20.752391Z","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":"2026-05-20T11:28:14.612875Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.07877","last_updated":"2025-05-10T12:28:47Z","snapshot_observed_at":"2026-08-07T15:48:14.293690Z","submitted_at":"2025-05-10T12:28:47Z","title":"Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.07877","snapshot_observed_at":"2026-08-06T14:43:20.752391Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.18190","last_updated":"2025-07-28T12:33:37Z","snapshot_observed_at":"2026-08-06T14:36:10.211358Z","submitted_at":"2025-07-24T08:40:08Z","title":"TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T14:43:20.752391Z"},"links":{"cited_paper":"/paper/2505.07877","citing_paper":"/paper/2507.18190"},"observation_digest":"sha256:d7d92d90158253a659bfc115a386a161f2683a6bb9bea40fbf55a34263768af3","observation_id":"97324091-8c70-4e81-9808-038dc44d3ef0","resolution":{"observed_at":"2026-08-06T14:43:20.752391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.07877","last_updated":"2025-05-10T12:28:47Z","snapshot_observed_at":"2026-08-07T15:48:14.293690Z","submitted_at":"2025-05-10T12:28:47Z","title":"Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data","version":1},"cited_work":{"arxiv_id":"2505.07877","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.07877","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"085c505c-612d-45c8-bb56-866709affa6b","year":2025},"citing_paper":{"arxiv_id":"2605.18025","last_updated":"2026-05-18T08:14:49Z","snapshot_observed_at":"2026-07-06T23:28:55.079333Z","submitted_at":"2026-05-18T08:14:49Z","title":"TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications?","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-20T11:23:34.256279Z"},"links":{"cited_paper":"/paper/2505.07877","citing_paper":"/paper/2605.18025"},"observation_digest":"sha256:18ee2d1e3bec71c97fadfdba92f0a292cda880c231ac7eb15e3fedaa12dc1a2e","observation_id":"e12d6d06-8ade-4132-bd08-fec8a17d8aa5","resolution":{"observed_at":"2026-05-20T11:28:14.614372Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2505.07877/citation-record","integrity":"/paper/2505.07877/integrity","json":"/paper/2505.07877/citation-record.json","paper":"/paper/2505.07877"},"outbound":[],"paper":{"arxiv_id":"2505.07877","last_updated":"2025-05-10T12:28:47Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-07T15:48:14.293690Z","submitted_at":"2025-05-10T12:28:47Z","title":"Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.07877."}