{"as_of":"2026-08-21T17:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b3b02ae9c98c6e865387db17d7b706984c20ea41c8b9a02f9565d0d292049f3","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":"2026-08-21T06:32:19.484+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":"2026-08-15T20:15:17.872249Z","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":"2026-08-07T19:57:46.092792Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.17120","last_updated":"2024-04-29T17:41:51Z","snapshot_observed_at":"2026-08-17T05:55:40.419457Z","submitted_at":"2024-04-26T02:29:26Z","title":"Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17120","snapshot_observed_at":"2026-08-08T15:04:29.664691Z","title":"Talking nonsense: Probing large language models’ understanding of adversarial gibberish inputs,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06604","last_updated":"2025-05-16T03:43:21Z","snapshot_observed_at":"2026-08-16T23:48:47.443593Z","submitted_at":"2025-02-10T16:01:55Z","title":"Do we really have to filter out random noise in pre-training data for language models?","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-08T15:04:29.664691Z"},"links":{"cited_paper":"/paper/2404.17120","citing_paper":"/paper/2502.06604"},"observation_digest":"sha256:304802b6efe1502762ad3afe91ebc8b8dc9cc54de9c47e20115d56f832a39a82","observation_id":"edb1e5e7-3608-478f-8b80-6b770f8fada6","resolution":{"observed_at":"2026-08-08T15:04:29.664691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17120","last_updated":"2024-04-29T17:41:51Z","snapshot_observed_at":"2026-08-17T05:55:40.419457Z","submitted_at":"2024-04-26T02:29:26Z","title":"Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs","version":2},"cited_work":{"arxiv_id":"2404.17120","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.17120","snapshot_observed_at":"2026-08-07T19:57:46.092792Z","title":"Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs","venue":"cs.CL","work_id":"7e7acb66-abe4-4c40-a2c6-1351ed681eed","year":2024},"citing_paper":{"arxiv_id":"2502.09974","last_updated":"2025-02-14T08:00:42Z","snapshot_observed_at":"2026-08-19T02:49:01.736204Z","submitted_at":"2025-02-14T08:00:42Z","title":"Has My System Prompt Been Used? Large Language Model Prompt Membership Inference","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T19:57:45.183239Z"},"links":{"cited_paper":"/paper/2404.17120","citing_paper":"/paper/2502.09974"},"observation_digest":"sha256:4d88d1c1ffc3ff533b05d7858dc7f17186a3f0b271852fe98b66b03f5a0a33f9","observation_id":"9fe14b01-8e3b-469a-bccb-e119f8d9a787","resolution":{"observed_at":"2026-08-07T19:57:46.100489Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17120","last_updated":"2024-04-29T17:41:51Z","snapshot_observed_at":"2026-08-17T05:55:40.419457Z","submitted_at":"2024-04-26T02:29:26Z","title":"Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17120","snapshot_observed_at":"2026-08-15T20:15:17.872249Z","title":"James Chua and Owain Evans","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.13775","last_updated":"2026-05-25T19:08:50Z","snapshot_observed_at":"2026-08-16T15:55:27.615593Z","submitted_at":"2025-05-19T23:29:23Z","title":"Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:15:17.872249Z"},"links":{"cited_paper":"/paper/2404.17120","citing_paper":"/paper/2505.13775"},"observation_digest":"sha256:e59d3d9f8ce86a56aef95c5e04a390c0bf9e7f25da5aa4782129e1953b3d8221","observation_id":"b0a80150-14c7-4709-b5a4-c1c82104d113","resolution":{"observed_at":"2026-08-15T20:15:17.872249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.17120/citation-record","integrity":"/paper/2404.17120/integrity","json":"/paper/2404.17120/citation-record.json","paper":"/paper/2404.17120"},"outbound":[],"paper":{"arxiv_id":"2404.17120","last_updated":"2024-04-29T17:41:51Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T05:55:40.419457Z","submitted_at":"2024-04-26T02:29:26Z","title":"Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.17120."}