{"as_of":"2026-08-09T06:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d41386b57acbbf2052db538c64c83ed4340b2f71b36339b7a07ee243ca72011","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T23:00:44.713058Z","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":"2026-08-05T11:39:24.168521Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.11072","last_updated":"2024-07-12T22:30:35Z","snapshot_observed_at":"2026-08-04T16:02:31.059696Z","submitted_at":"2024-07-12T22:30:35Z","title":"MaPPing Your Model: Assessing the Impact of Adversarial Attacks on LLM-based Programming Assistants","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.11072","snapshot_observed_at":"2026-08-06T23:00:44.713058Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.22063","last_updated":"2026-07-02T17:48:45Z","snapshot_observed_at":"2026-08-06T22:52:58.454957Z","submitted_at":"2025-06-25T06:20:15Z","title":"RedCoder: Automated Multi-Turn Red Teaming for Code LLMs","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T23:00:44.713058Z"},"links":{"cited_paper":"/paper/2407.11072","citing_paper":"/paper/2507.22063"},"observation_digest":"sha256:c414ea68b2519b9209ca06d635f4c8e74a5f7bee68c336246c78513b533658d5","observation_id":"595268c3-8128-4edb-9cf1-ec1a8497761e","resolution":{"observed_at":"2026-08-06T23:00:44.713058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.11072","last_updated":"2024-07-12T22:30:35Z","snapshot_observed_at":"2026-08-04T16:02:31.059696Z","submitted_at":"2024-07-12T22:30:35Z","title":"MaPPing Your Model: Assessing the Impact of Adversarial Attacks on LLM-based Programming Assistants","version":1},"cited_work":{"arxiv_id":"2407.11072","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.11072","snapshot_observed_at":"2026-08-05T11:39:24.168521Z","title":"MaPPing Your Model: Assessing the Impact of Adversarial Attacks on LLM-based Programming Assistants","venue":"cs.CR","work_id":"9df66481-ffdd-418e-9572-620723119923","year":2024},"citing_paper":{"arxiv_id":"2509.02411","last_updated":"2025-09-02T15:19:57Z","snapshot_observed_at":"2026-08-06T21:38:56.067118Z","submitted_at":"2025-09-02T15:19:57Z","title":"A Survey: Towards Privacy and Security in Mobile Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:14.953215Z"},"links":{"cited_paper":"/paper/2407.11072","citing_paper":"/paper/2509.02411"},"observation_digest":"sha256:683960fc5c8915c1aed157f7b968e8f8b9be16f17fa89bcd1005b98c7ebcd3bb","observation_id":"a6b39793-ad89-4b59-9780-311582d6360c","resolution":{"observed_at":"2026-08-05T11:39:24.282854Z","resolver_source":"local_arxiv","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":"2407.11072","last_updated":"2024-07-12T22:30:35Z","snapshot_observed_at":"2026-08-04T16:02:31.059696Z","submitted_at":"2024-07-12T22:30:35Z","title":"MaPPing Your Model: Assessing the Impact of Adversarial Attacks on LLM-based Programming Assistants","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.11072","snapshot_observed_at":"2026-08-01T09:30:48.861189Z","title":"MaPPing your model: Assessing the impact of adversarial attacks on LLM-based programming assistants,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20759","last_updated":"2026-07-22T22:20:02Z","snapshot_observed_at":"2026-08-09T04:22:22.445624Z","submitted_at":"2026-07-22T22:20:02Z","title":"IssueTrojanBench: Benchmarking AI Coding Agents Against Malicious Issue Requests","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T09:30:48.861189Z"},"links":{"cited_paper":"/paper/2407.11072","citing_paper":"/paper/2607.20759"},"observation_digest":"sha256:bc6102f77822d1f8ed7d902f4256b6a81e96381902a4e11c6a1ac3d22d022016","observation_id":"483f0a05-786e-45ff-b2d0-36526cdc475e","resolution":{"observed_at":"2026-08-01T09:30:48.861189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.11072/citation-record","integrity":"/paper/2407.11072/integrity","json":"/paper/2407.11072/citation-record.json","paper":"/paper/2407.11072"},"outbound":[],"paper":{"arxiv_id":"2407.11072","last_updated":"2024-07-12T22:30:35Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-04T16:02:31.059696Z","submitted_at":"2024-07-12T22:30:35Z","title":"MaPPing Your Model: Assessing the Impact of Adversarial Attacks on LLM-based Programming Assistants"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.11072."}