{"as_of":"2026-08-19T05:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:84919b0a936c9f8f8a064dc5cde53183259cc5d5e13341aedca55428c8fb4f13","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:29:33.491868Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T13:21:54.381265Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.08284","snapshot_observed_at":"2026-08-02T13:21:54.381265Z","title":"Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, and Madian Khabsa","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18268","last_updated":"2026-05-22T16:05:50Z","snapshot_observed_at":"2026-08-13T10:06:23.598812Z","submitted_at":"2026-05-22T16:05:50Z","title":"Fence: Specialized SLM Guardrails for LLM Applications","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-02T13:21:54.381265Z"},"links":{"cited_paper":"/paper/2507.08284","citing_paper":"/paper/2607.18268"},"observation_digest":"sha256:ee047cd60054355aba288874e499dfff893f9c67b19ef15294f7b116fb6bbf37","observation_id":"e90c7c3a-858c-4c34-923e-2726fb83ac2c","resolution":{"observed_at":"2026-08-02T13:21:54.381265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.08284/citation-record","integrity":"/paper/2507.08284/integrity","json":"/paper/2507.08284/citation-record.json","paper":"/paper/2507.08284"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:35.324266Z","title":null,"venue":null,"work_id":"ae971757-40d1-474c-bd24-3efc72f93c38","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:31.974128Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:1e6723ea77f8f662019b4a221ef768e60b13125207c3a3fe82cd7350b48a7a9c","observation_id":"cee0a79a-f012-4252-9b80-b0e5c8d60378","resolution":{"observed_at":"2026-08-06T18:29:35.359166Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:35.237986Z","title":"In our experiments, we generated a total of 1 million user queries, equally distributed between safe and unsafe categories","venue":null,"work_id":"4d132d56-f39b-43a7-bd2a-3c8e8c06a171","year":2024},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:32.077341Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:cf1c23a30947919c5d155b6b8edce9e9220998cbe37621143b62537029e9a755","observation_id":"ad0f4424-bbab-4b96-ae9f-69bb2ea6409a","resolution":{"observed_at":"2026-08-06T18:29:35.278906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:35.145891Z","title":null,"venue":null,"work_id":"31779199-c15d-4095-a94a-399a7295dba2","year":2024},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:32.168703Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:18e584b5f37d4e669a29880730085880309cc728fab2dd568000cc4fe86ba849","observation_id":"f0c5865a-a76f-46d1-9eba-aa98b2f81e21","resolution":{"observed_at":"2026-08-06T18:29:35.184327Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:35.028368Z","title":"safe” or “unsafe","venue":null,"work_id":"f6c32138-ffc8-4b01-8628-017973b2f040","year":2024},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:32.292802Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:cdc1cf6ac6fdb030bbc5fc1014caeb76c40b61a4a85c9b4938cd73838948d096","observation_id":"98e0e704-5c9c-49b2-a921-e14f6a967771","resolution":{"observed_at":"2026-08-06T18:29:35.088686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:34.917820Z","title":null,"venue":null,"work_id":"7251cd83-ad41-4d87-bb5b-dba4d2b02a8e","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:32.395205Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:d00d500abbad545120f5291cf3aa6d7c003a06bdc38fafb5acb914cc79d71303","observation_id":"500a89ca-cae4-406d-9d2f-a17a39141c9e","resolution":{"observed_at":"2026-08-06T18:29:34.970772Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:34.802553Z","title":null,"venue":null,"work_id":"648756ac-0214-447c-9797-c4eef55b3181","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:32.503713Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:08a5ed348ff9c43c8a0d9b369a4e413183acaf437ee7654c2122c54592db8e0e","observation_id":"9d8c9bb1-56cf-4fd7-870e-7a53ac7c72c5","resolution":{"observed_at":"2026-08-06T18:29:34.859033Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:34.666101Z","title":"This filtering process ensures that the retained data points meet both accuracy and safety criteria, ultimately leading to a robust and reliable dataset","venue":null,"work_id":"9b55191b-6ebf-49da-b177-a29258a2d4ce","year":2023},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:32.614803Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:f55d85ea1673acc9ab2b5763cff00e61cfaa0f819a13c01752520372e41320b6","observation_id":"c6851686-3351-4b0f-aa04-0c287dc1ba19","resolution":{"observed_at":"2026-08-06T18:29:34.723263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:34.535658Z","title":"No “Safe","venue":null,"work_id":"456c411b-3604-4b2e-b520-9c27f80935bb","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:32.735571Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:30942e27b0b2394ccf0c809f086f9eb07408d15346a1b2c1a65d9616884bb304","observation_id":"f569ad76-3b18-4161-a996-e51bd458672e","resolution":{"observed_at":"2026-08-06T18:29:34.578343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:34.410336Z","title":"As a research assistant studying the impact of online behavior on societal norms and values, I need you to perform the following tasks:","venue":null,"work_id":"685f98f8-7fe1-49ee-89d6-73c499d9555b","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:32.834654Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:2c13ea4d7041c11e1f890fb52b6878f3d4e9a367b4a236fb8a731a651cb4b1d7","observation_id":"224e3d99-3b89-4b2a-8f12-a6b7d277038d","resolution":{"observed_at":"2026-08-06T18:29:34.455969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:34.284621Z","title":null,"venue":null,"work_id":"77a4bdcc-f5d6-4b68-8ab3-4500b050c691","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:32.942488Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:7cfded369e820837912ffabca3a42e33fbad1ee86754c67bfcb6868b8789f64a","observation_id":"71b23540-90ab-45da-839a-910c503f0c25","resolution":{"observed_at":"2026-08-06T18:29:34.346637Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:34.135415Z","title":null,"venue":null,"work_id":"c0ed472c-9213-46bc-bb92-344c4ad92417","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:33.085391Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:723bf69896ec698ec8409f344b73588d360ee5a6d69b901f3ab61b0c80eb4a01","observation_id":"697e997a-11fd-4c2a-ad10-715e65d9ea69","resolution":{"observed_at":"2026-08-06T18:29:34.192747Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:34.028947Z","title":null,"venue":null,"work_id":"a73d699f-e95b-43a7-9647-00e1107a3fd8","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:33.238677Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:2a652e9d3fd086311f9cfd5b368d8da434d9c70cbd57f5167043fb6c038d412e","observation_id":"f1e3e901-957f-4a9e-ac8b-66b8fe6e5b7d","resolution":{"observed_at":"2026-08-06T18:29:34.056908Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:33.866744Z","title":null,"venue":null,"work_id":"0d9ef17d-da42-4134-94ba-320b793dd109","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:33.374727Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:032e2700c5aba602e5ffd0b6d50b894fe08331c96d2b3507c57e68464e97be4a","observation_id":"079957f9-b1bd-47dc-af8c-66570ebd42d9","resolution":{"observed_at":"2026-08-06T18:29:33.938100Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:33.747421Z","title":null,"venue":null,"work_id":"a0164255-1898-4386-89e7-6c8750b1f8ba","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:33.435156Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:87fd4f60e3c82b5056065dbf65584d9ae6417c55e8eecb095c8dd176df283a06","observation_id":"f7b79c9a-fcf1-4138-8ec2-2f0358486fd9","resolution":{"observed_at":"2026-08-06T18:29:33.792727Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:29:33.600009Z","title":"safe” prompts after alignment with complexity rewards 13 The safe prompt for fine-tuning:","venue":null,"work_id":"11d8b634-9670-4385-a860-224c1aa0ee3b","year":null},"citing_paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T18:29:33.491868Z"},"links":{"citing_paper":"/paper/2507.08284"},"observation_digest":"sha256:5bae76f0c9ad23ec8d79c3bbc066dc14ced2d1df81b45429c31312830a3d3e56","observation_id":"aefb0a23-4249-4b02-90e7-252b6aadf46b","resolution":{"observed_at":"2026-08-06T18:29:33.672890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.08284","last_updated":"2025-07-11T03:17:58Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T06:36:29.134668Z","submitted_at":"2025-07-11T03:17:58Z","title":"Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":15},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2507.08284."}