{"as_of":"2026-08-08T15:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:caac73006f02b4040719d3fc508ee92c9880495797fb9cce3ad14e102d366194","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:27:37.106377Z","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":"2026-07-03T05:57:41.519528Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.01620","last_updated":"2024-06-07T18:13:16Z","snapshot_observed_at":"2026-07-06T17:24:29.001170Z","submitted_at":"2024-02-02T18:35:14Z","title":"MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01620","snapshot_observed_at":"2026-08-07T15:27:37.106377Z","title":"Magdi: Structured distillation of multi-agent interaction graphs improves reasoning in smaller language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15133","last_updated":"2025-05-21T05:38:57Z","snapshot_observed_at":"2026-08-07T15:21:02.215243Z","submitted_at":"2025-05-21T05:38:57Z","title":"DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:27:37.106377Z"},"links":{"cited_paper":"/paper/2402.01620","citing_paper":"/paper/2505.15133"},"observation_digest":"sha256:12a294f74b04f88e02c7d72e2f2d694677217acbd26a853124e2f818b4c18d2b","observation_id":"87b6d3ed-9c3b-4d10-ac30-0637744beb7c","resolution":{"observed_at":"2026-08-07T15:27:37.106377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01620","last_updated":"2024-06-07T18:13:16Z","snapshot_observed_at":"2026-07-06T17:24:29.001170Z","submitted_at":"2024-02-02T18:35:14Z","title":"MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01620","snapshot_observed_at":"2026-08-07T00:13:36.272245Z","title":"Magdi: Structured distillation of multi-agent interaction graphs improves reasoning in smaller language models.arXiv preprint arXiv:2402.01620, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14728","last_updated":"2025-06-17T17:08:32Z","snapshot_observed_at":"2026-08-07T14:16:24.457276Z","submitted_at":"2025-06-17T17:08:32Z","title":"AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:36.272245Z"},"links":{"cited_paper":"/paper/2402.01620","citing_paper":"/paper/2506.14728"},"observation_digest":"sha256:d566300f3f587a6265b69e58928c73d6ccc5f9ebef3237698708745a55d65442","observation_id":"d0281c93-37c8-4c9f-a42f-59d15e3596cf","resolution":{"observed_at":"2026-08-07T00:13:36.272245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01620","last_updated":"2024-06-07T18:13:16Z","snapshot_observed_at":"2026-07-06T17:24:29.001170Z","submitted_at":"2024-02-02T18:35:14Z","title":"MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01620","snapshot_observed_at":"2026-08-03T09:21:33.331072Z","title":"Magdi: Structured distillation of multi-agent interaction graphs improves reasoning in smaller language models.arXiv preprint arXiv:2402.01620, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.14192","last_updated":"2026-07-03T11:26:58Z","snapshot_observed_at":"2026-08-07T15:05:40.772054Z","submitted_at":"2026-01-20T17:51:56Z","title":"Toward Efficient Agents: Memory, Tool learning, and Planning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:33.331072Z"},"links":{"cited_paper":"/paper/2402.01620","citing_paper":"/paper/2601.14192"},"observation_digest":"sha256:63492521185b65166732142d8abda8a21716ae17a250c72757fe33fbd9929112","observation_id":"28b8af0b-69c0-4484-8c04-dcbce2534b42","resolution":{"observed_at":"2026-08-03T09:21:33.331072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01620","last_updated":"2024-06-07T18:13:16Z","snapshot_observed_at":"2026-07-06T17:24:29.001170Z","submitted_at":"2024-02-02T18:35:14Z","title":"MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models","version":2},"cited_work":{"arxiv_id":"2402.01620","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01620","snapshot_observed_at":"2026-07-03T05:57:41.519528Z","title":"Magdi: Structured distillation of multi-agent interaction graphs improves reasoning in smaller language models","venue":null,"work_id":"619e6fee-c8bc-4812-8504-dc72c6fdc807","year":2024},"citing_paper":{"arxiv_id":"2606.11470","last_updated":"2026-06-09T21:59:37Z","snapshot_observed_at":"2026-07-06T23:50:35.052764Z","submitted_at":"2026-06-09T21:59:37Z","title":"The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-27T12:59:51.091008Z"},"links":{"cited_paper":"/paper/2402.01620","citing_paper":"/paper/2606.11470"},"observation_digest":"sha256:c817f0e6775c82da92b327ab9c04c703796da633da84ce30ab1fc4bf4d4b204a","observation_id":"0e2d6e6d-cb26-49c8-8f59-191f1769c306","resolution":{"observed_at":"2026-07-03T05:57:41.522003Z","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":"2402.01620","last_updated":"2024-06-07T18:13:16Z","snapshot_observed_at":"2026-07-06T17:24:29.001170Z","submitted_at":"2024-02-02T18:35:14Z","title":"MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01620","snapshot_observed_at":"2026-08-01T19:47:40.501488Z","title":"Magdi: Structured distillation of multi-agent interaction graphs improves reasoning in smaller language models.arXiv preprint arXiv:2402.01620, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16851","last_updated":"2026-07-18T15:23:45Z","snapshot_observed_at":"2026-08-07T22:19:21.531544Z","submitted_at":"2026-07-18T15:23:45Z","title":"AgentBrew: Lifelong Knowledge Brewing from Strong Teachers to Weak LLM Agents","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T19:47:40.501488Z"},"links":{"cited_paper":"/paper/2402.01620","citing_paper":"/paper/2607.16851"},"observation_digest":"sha256:e893d2b290f17a75943b9968acd310f0e594d05cd7ad292d39b008a0a086a272","observation_id":"bc7d18c2-1cce-4cf2-b093-00d632656045","resolution":{"observed_at":"2026-08-01T19:47:40.501488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01620","last_updated":"2024-06-07T18:13:16Z","snapshot_observed_at":"2026-07-06T17:24:29.001170Z","submitted_at":"2024-02-02T18:35:14Z","title":"MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01620","snapshot_observed_at":"2026-08-01T12:46:26.936562Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26593","last_updated":"2026-07-29T08:14:00Z","snapshot_observed_at":"2026-08-06T07:03:38.346418Z","submitted_at":"2026-07-29T08:14:00Z","title":"ASARL: Autonomous Social-Aware Relevance Learning for QQ Search","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T12:46:26.936562Z"},"links":{"cited_paper":"/paper/2402.01620","citing_paper":"/paper/2607.26593"},"observation_digest":"sha256:bd2d883d86b9b4485a97f22912aeccd9f7f0d93ff38b7ac4bc2650bc3452b60a","observation_id":"da34ec41-6029-47d5-b169-435ca5f35e8b","resolution":{"observed_at":"2026-08-01T12:46:26.936562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.01620/citation-record","integrity":"/paper/2402.01620/integrity","json":"/paper/2402.01620/citation-record.json","paper":"/paper/2402.01620"},"outbound":[],"paper":{"arxiv_id":"2402.01620","last_updated":"2024-06-07T18:13:16Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:24:29.001170Z","submitted_at":"2024-02-02T18:35:14Z","title":"MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language 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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.01620."}