{"as_of":"2026-08-10T06:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:442f38eefcd2bf7d09ede3317e87f999941cd73f17e66b5fd1cd7e1677cd5f21","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T04:37:17.002476Z","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":"2026-07-09T12:46:14.563525Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.16444","last_updated":"2024-11-05T02:13:59Z","snapshot_observed_at":"2026-07-06T17:35:23.161066Z","submitted_at":"2024-02-26T09:43:02Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16444","snapshot_observed_at":"2026-08-10T04:37:17.002476Z","title":"ShieldLM: Empowering LLMs as aligned, customizable and explainable safety detec tors,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.17749","last_updated":"2025-01-29T16:36:53Z","snapshot_observed_at":"2026-08-10T04:50:16.966807Z","submitted_at":"2025-01-29T16:36:53Z","title":"Early External Safety Testing of OpenAI's o3-mini: Insights from the Pre-Deployment Evaluation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T04:37:17.002476Z"},"links":{"cited_paper":"/paper/2402.16444","citing_paper":"/paper/2501.17749"},"observation_digest":"sha256:e603360cf85ab0ba4c33dd9239aadc551d5bdfa70472918ef215b5840b95f37f","observation_id":"5ab876b4-fd61-4419-aeff-ba967d05e0b7","resolution":{"observed_at":"2026-08-10T04:37:17.002476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16444","last_updated":"2024-11-05T02:13:59Z","snapshot_observed_at":"2026-07-06T17:35:23.161066Z","submitted_at":"2024-02-26T09:43:02Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16444","snapshot_observed_at":"2026-08-09T23:32:16.878327Z","title":"ShieldLM: Empowering LLMs as aligned, customizable and explainable safety detectors,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18438","last_updated":"2025-01-31T15:39:00Z","snapshot_observed_at":"2026-08-10T04:49:31.672323Z","submitted_at":"2025-01-30T15:45:56Z","title":"o3-mini vs DeepSeek-R1: Which One is Safer?","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T23:32:16.878327Z"},"links":{"cited_paper":"/paper/2402.16444","citing_paper":"/paper/2501.18438"},"observation_digest":"sha256:a2567934c5b9d5a1b5e8c69bf62da983a1d7e85cbf328dd6eb6b01ca31258f8c","observation_id":"e8638b35-b7af-4931-b120-21dd210e8461","resolution":{"observed_at":"2026-08-09T23:32:16.878327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16444","last_updated":"2024-11-05T02:13:59Z","snapshot_observed_at":"2026-07-06T17:35:23.161066Z","submitted_at":"2024-02-26T09:43:02Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16444","snapshot_observed_at":"2026-08-07T10:17:26.898958Z","title":"Shieldlm: Empowering llms as aligned, customizable and explainable safety detectors,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11094","last_updated":"2025-10-30T06:22:33Z","snapshot_observed_at":"2026-08-07T10:11:06.747781Z","submitted_at":"2025-06-06T05:50:50Z","title":"The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs","version":2},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-08-07T10:17:26.898958Z"},"links":{"cited_paper":"/paper/2402.16444","citing_paper":"/paper/2506.11094"},"observation_digest":"sha256:9eb60fcfec3358574157c11b577b61f57ab389f12ee11294171d09e6f2fac45a","observation_id":"1b461ada-7999-4968-82de-b420cb2809c0","resolution":{"observed_at":"2026-08-07T10:17:26.898958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16444","last_updated":"2024-11-05T02:13:59Z","snapshot_observed_at":"2026-07-06T17:35:23.161066Z","submitted_at":"2024-02-26T09:43:02Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16444","snapshot_observed_at":"2026-08-06T17:16:30.270397Z","title":"Shieldlm: Empowering llms as aligned, customizable and explainable safety detectors,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11292","last_updated":"2025-07-15T13:19:18Z","snapshot_observed_at":"2026-08-09T16:54:21.267200Z","submitted_at":"2025-07-15T13:19:18Z","title":"Fine-Grained Chinese Hate Speech Understanding: Span-Level Resources, Coded Term Lexicon, and Enhanced Detection Frameworks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T17:16:30.270397Z"},"links":{"cited_paper":"/paper/2402.16444","citing_paper":"/paper/2507.11292"},"observation_digest":"sha256:b56bf9da8375286fae454661077b6c8f4c416f55308c0960be4346b9d3300a4e","observation_id":"8b518729-9c04-453f-a515-7e363133db50","resolution":{"observed_at":"2026-08-06T17:16:30.270397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16444","last_updated":"2024-11-05T02:13:59Z","snapshot_observed_at":"2026-07-06T17:35:23.161066Z","submitted_at":"2024-02-26T09:43:02Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16444","snapshot_observed_at":"2026-08-06T12:17:38.729765Z","title":"arXiv preprint arXiv:2402.16444 (2024) 14 Z","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21929","last_updated":"2025-07-29T15:45:50Z","snapshot_observed_at":"2026-08-09T14:01:50.797496Z","submitted_at":"2025-07-29T15:45:50Z","title":"Libra: Large Chinese-based Safeguard for AI Content","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T12:17:38.729765Z"},"links":{"cited_paper":"/paper/2402.16444","citing_paper":"/paper/2507.21929"},"observation_digest":"sha256:2de8b4503f718849bcdc0e7b0505000e824357280c3565aba0513f0e61e9a5fa","observation_id":"1d29e842-6805-42d9-8e58-2f3ecfebcfd5","resolution":{"observed_at":"2026-08-06T12:17:38.729765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16444","last_updated":"2024-11-05T02:13:59Z","snapshot_observed_at":"2026-07-06T17:35:23.161066Z","submitted_at":"2024-02-26T09:43:02Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","version":2},"cited_work":{"arxiv_id":"2402.16444","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.16444","snapshot_observed_at":"2026-07-09T12:46:14.563525Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","venue":"cs.CL","work_id":"8523f75e-3eef-42cf-b50f-654bcf613e0a","year":2024},"citing_paper":{"arxiv_id":"2605.26332","last_updated":"2026-05-25T21:11:59Z","snapshot_observed_at":"2026-08-06T04:03:58.549335Z","submitted_at":"2026-05-25T21:11:59Z","title":"Erased but Exploitable: Black-box Embedding-Aware Prompting Against Unlearned Text-to-Image Diffusion Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-29T22:14:36.290982Z"},"links":{"cited_paper":"/paper/2402.16444","citing_paper":"/paper/2605.26332"},"observation_digest":"sha256:2d9a5adc3570287805214bdaf233089000758f466792c3205d16d8afa0b4cac0","observation_id":"9e395195-df77-4a30-ae87-e53727793310","resolution":{"observed_at":"2026-06-29T22:34:02.831693Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16444","last_updated":"2024-11-05T02:13:59Z","snapshot_observed_at":"2026-07-06T17:35:23.161066Z","submitted_at":"2024-02-26T09:43:02Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","version":2},"cited_work":{"arxiv_id":"2402.16444","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.16444","snapshot_observed_at":"2026-07-09T12:46:14.563525Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","venue":"cs.CL","work_id":"8523f75e-3eef-42cf-b50f-654bcf613e0a","year":2024},"citing_paper":{"arxiv_id":"2606.05679","last_updated":"2026-06-04T04:01:24Z","snapshot_observed_at":"2026-08-03T00:29:19.443809Z","submitted_at":"2026-06-04T04:01:24Z","title":"Data Flow Control: Data Safety Policies for AI Agents","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-27T23:28:47.480408Z"},"links":{"cited_paper":"/paper/2402.16444","citing_paper":"/paper/2606.05679"},"observation_digest":"sha256:038883bafd27ad266fc04a895f2c0c32a0b068f73c9bb68541cca0bd7d549b76","observation_id":"572e91bb-824b-4ece-bb4f-dc882b16cd6a","resolution":{"observed_at":"2026-07-02T15:47:06.358278Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16444","last_updated":"2024-11-05T02:13:59Z","snapshot_observed_at":"2026-07-06T17:35:23.161066Z","submitted_at":"2024-02-26T09:43:02Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","version":2},"cited_work":{"arxiv_id":"2402.16444","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.16444","snapshot_observed_at":"2026-07-09T12:46:14.563525Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors","venue":"cs.CL","work_id":"8523f75e-3eef-42cf-b50f-654bcf613e0a","year":2024},"citing_paper":{"arxiv_id":"2607.07397","last_updated":"2026-07-08T13:32:38Z","snapshot_observed_at":"2026-07-11T23:20:04.104746Z","submitted_at":"2026-07-08T13:32:38Z","title":"Agentic Data Environments","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-09T12:43:21.070615Z"},"links":{"cited_paper":"/paper/2402.16444","citing_paper":"/paper/2607.07397"},"observation_digest":"sha256:7f88d9faf78776818ff9bac3df2bf48bd4a27ea574bd28654320b418a29c76b4","observation_id":"c8ddf27b-4462-4b4a-8725-098976e667ff","resolution":{"observed_at":"2026-07-09T12:46:14.565622Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.16444/citation-record","integrity":"/paper/2402.16444/integrity","json":"/paper/2402.16444/citation-record.json","paper":"/paper/2402.16444"},"outbound":[],"paper":{"arxiv_id":"2402.16444","last_updated":"2024-11-05T02:13:59Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:35:23.161066Z","submitted_at":"2024-02-26T09:43:02Z","title":"ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.16444."}