{"as_of":"2026-08-09T19:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9a47f0e05bfdd951b82b839ba0af00fe3506bd579d1c3cdc7fa7e7f931318d3c","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T11:25:23.751649Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2509.04512/citation-record","integrity":"/paper/2509.04512/integrity","json":"/paper/2509.04512/citation-record.json","paper":"/paper/2509.04512"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.159772Z","title":"The digital revolution and its impact on mental health care,","venue":null,"work_id":"dd197e17-5587-4a93-bcf6-64ce3c5d06c0","year":2019},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:22.453078Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:3db54e54a46ed581de4881887c56beaab6f43ae8719f4436811bdf1c6930d04b","observation_id":"8ec59f06-d7c9-49bc-9fcd-ab0e3a37e5ca","resolution":{"observed_at":"2026-08-05T11:25:24.163008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.152892Z","title":"Digitally assisted mindfulness in training self-regulation skills for sustainable mental health: a systematic review,","venue":null,"work_id":"5d407a63-5fd4-4c51-8bf0-fcd05db73bdf","year":2023},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:22.549565Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:0260d9efdb51ca9d5c6bd7ba8e455e8906379b19109b9c479681784503215435","observation_id":"0d9a57e1-e4ef-4be0-93e7-f90fcadf2a18","resolution":{"observed_at":"2026-08-05T11:25:24.155345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.146566Z","title":"The application of artificial intelligence in the field of mental health: a systematic review,","venue":null,"work_id":"eb1f5198-ee5e-471c-8963-982b251f1deb","year":2025},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:22.595628Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:9c520fc62ffe78e72b4f20e4afb6267b8dcd3247dd165af74863cb48a5a503af","observation_id":"f065d17a-0695-42dc-8abf-66948a3f7d1b","resolution":{"observed_at":"2026-08-05T11:25:24.149390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.141369Z","title":"Talking to machines about personal mental health problems,","venue":null,"work_id":"d04a3933-25ed-4f34-9a63-bbbe7f0f1e81","year":2017},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:22.672055Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:13bee2bdeb573328c854f980a9494abdc2e331bfb4dbc1aae740c4a47c517018","observation_id":"d40e5002-eab3-4f51-a4d7-de9762d8e238","resolution":{"observed_at":"2026-08-05T11:25:24.143219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.135532Z","title":"Mentallama: interpretable mental health analysis on social media with large language models,","venue":null,"work_id":"21d412fa-9737-4176-bcf3-ad675f540d83","year":2024},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:22.780508Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:0ae21bc90c3d9f28ab041e7bcddf56b7bc5f951c01e7a63ba1dc4faf23f77b1f","observation_id":"30252ae4-b420-4287-8a2b-5335975462b0","resolution":{"observed_at":"2026-08-05T11:25:24.137409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2307.11991","last_updated":"2023-09-01T04:52:38Z","snapshot_observed_at":"2026-07-06T15:57:12.959103Z","submitted_at":"2023-07-22T06:21:41Z","title":"Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.11991","snapshot_observed_at":"2026-08-05T11:25:22.896167Z","title":"Psy-llm: Scaling up global mental health psychological services with ai-based large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:22.896167Z"},"links":{"cited_paper":"/paper/2307.11991","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:7824b9c6c9d11f90464abe55d9bdc9e15ba58508b0b254c9288f9c099bcc0a90","observation_id":"4e6417bf-cc2d-499c-a07c-98968ec8e958","resolution":{"observed_at":"2026-08-05T11:25:22.896167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.06674","last_updated":"2023-12-07T19:40:50Z","snapshot_observed_at":"2026-07-06T17:00:00.321552Z","submitted_at":"2023-12-07T19:40:50Z","title":"Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.06674","snapshot_observed_at":"2026-08-05T11:25:23.020751Z","title":"Llama guard: Llm-based input-output safeguard for human-ai conversations,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.020751Z"},"links":{"cited_paper":"/paper/2312.06674","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:aa48d887739618f899bad27d4f0c6bba2f1314c3bc0503109c01465f2f7291d7","observation_id":"94554423-d12c-46ec-8c8f-7be52ffd7e57","resolution":{"observed_at":"2026-08-05T11:25:23.020751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2508.07063","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:23.973319Z","title":"Towards safer ai moderation: Evaluating llm moderators through a unified benchmark dataset and advocating a human-first approach,","venue":null,"work_id":"2ab2e0ed-4f8a-412e-a45b-dd70fc098c61","year":2025},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.119645Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:014b456dd07e1eda87fc19913ade822d9c5ddd325c0173402a792c9d8cb0dfbe","observation_id":"523919ac-ba61-4651-9c75-8a31cf005e75","resolution":{"observed_at":"2026-08-05T11:25:23.977851Z","resolver_source":"raw_fallback","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":"2209.07858","last_updated":"2022-11-22T19:12:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-08-23T23:37:14Z","title":"Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.07858","snapshot_observed_at":"2026-08-05T11:25:23.251607Z","title":"Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.251607Z"},"links":{"cited_paper":"/paper/2209.07858","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:88e4a8b1990b5b3be7dc027694582fb5f07ad6b8bb12bfbbffb030326a5f0d4a","observation_id":"471ccf65-e338-495c-a7c6-72a12687a5b8","resolution":{"observed_at":"2026-08-05T11:25:23.251607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08370","last_updated":"2024-02-16T09:42:19Z","snapshot_observed_at":"2026-08-07T06:51:25.278756Z","submitted_at":"2023-11-14T18:33:43Z","title":"SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08370","snapshot_observed_at":"2026-08-05T11:25:23.366764Z","title":"Sim- plesafetytests: a test suite for identifying critical safety risks in large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.366764Z"},"links":{"cited_paper":"/paper/2311.08370","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:c3bd38c3f4109685646c9ea18425c6d83afbb366942535d45b170a4ea8a220f4","observation_id":"dd6466c5-a3a4-419c-afb5-52a2f4965a5b","resolution":{"observed_at":"2026-08-05T11:25:23.366764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:23.437011Z","title":"Persistent instability in llm’s personality measurements: Effects of scale, reasoning, and conversation history,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.437011Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:1f02e72018b0b7fab4bf2e3b8c725ee7571b10c53bdaa0d38259e3784882b4c3","observation_id":"36752c81-8368-4663-95c4-f33b58d84364","resolution":{"observed_at":"2026-08-05T11:25:23.437011Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.130375Z","title":"Gpt-3.5 technical overview,","venue":null,"work_id":"96f4bd30-f0be-4e6b-852d-56b7eddb8fe7","year":2023},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.611770Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:a72862fa8471598839a0e997a51d11fbc122693566cbd6d10c708b0ba1f9fb03","observation_id":"04e66e06-5728-41dd-8837-ed8e16cab793","resolution":{"observed_at":"2026-08-05T11:25:24.132464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-05T11:25:23.694086Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.694086Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:01a4b0ea99838f00d4970ded4f768f220955b3502481435536d41066341cd27e","observation_id":"6291139f-7b28-4112-9c80-df4b62fc82c5","resolution":{"observed_at":"2026-08-05T11:25:23.694086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.124044Z","title":"Biobert: a pre-trained biomedical language representation model for biomedical text mining,","venue":null,"work_id":"b00593c1-82d1-4d82-870f-599cd1d45c16","year":2020},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.696367Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:7f8a0feb350fde1809a82d62feb9aab193ff6e0780fefdcb77e53278280550c6","observation_id":"bc91bfa3-c452-4302-9b96-0375845221cf","resolution":{"observed_at":"2026-08-05T11:25:24.125998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2402.17193","last_updated":"2024-02-27T04:18:49Z","snapshot_observed_at":"2026-08-04T05:29:23.231087Z","submitted_at":"2024-02-27T04:18:49Z","title":"When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17193","snapshot_observed_at":"2026-08-05T11:25:23.698181Z","title":"When scaling meets llm finetuning: The effect of data, model and finetuning method,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.698181Z"},"links":{"cited_paper":"/paper/2402.17193","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:1022f3d1e043f25830a2a7e17822e1e51d4beac263804ec6242d2503b6fc5957","observation_id":"1f2c420c-3731-4453-acf6-e1ad4a8fa0fe","resolution":{"observed_at":"2026-08-05T11:25:23.698181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.115443Z","title":"A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,","venue":null,"work_id":"7414615a-ddba-4b98-8a8d-8e0a910360bf","year":2024},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.700174Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:0ac95b92e21309ed0d0169fb3e3d3dc2b8fb616fa783e84faebc0e86601cd6b7","observation_id":"03cb6bfb-845a-417c-bc48-89566e8907f6","resolution":{"observed_at":"2026-08-05T11:25:24.118328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.109231Z","title":"The llama 3 herd of models,","venue":null,"work_id":"d1a91678-42b6-4f29-bbe9-4d4097ef9831","year":2024},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.701909Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:c157aab911734ad757710eeebdc165182db060a5a6aeb6fc68c89acbbaaefbe3","observation_id":"8bcc55c4-1f3a-4843-ac05-4c992d69a875","resolution":{"observed_at":"2026-08-05T11:25:24.111348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-05T11:25:23.703851Z","title":"Llama: Open and efficient foundation language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.703851Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:02327dd93a3864b6b07f3fcec740b0b78092500f4f0c6b563a89891283925804","observation_id":"c9a6fd5d-1720-4c8e-a4ee-bc02117b5fdb","resolution":{"observed_at":"2026-08-05T11:25:23.703851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-07-06T08:17:05.681370Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-05T11:25:23.705516Z","title":"Sentence-bert: Sentence embeddings using siamese bert-networks,","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.705516Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:f77d8203a80f3129f5ea6145c92317950fb2a71889d88e60f02f6d4c240b3754","observation_id":"318af7b0-68d6-48ab-9945-1d4352a6f40d","resolution":{"observed_at":"2026-08-05T11:25:23.705516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.00133","last_updated":"2019-10-31T22:28:45Z","snapshot_observed_at":"2026-07-06T08:33:58.970043Z","submitted_at":"2019-10-31T22:28:45Z","title":"Dreaddit: A Reddit Dataset for Stress Analysis in Social Media","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.00133","snapshot_observed_at":"2026-08-05T11:25:23.707799Z","title":"Dreaddit: A reddit dataset for stress analysis in social media,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.707799Z"},"links":{"cited_paper":"/paper/1911.00133","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:7f72aa210f5c9c145d7a98f703bef56ae2e0f7e668ed8f1f4a2fb5883bb049c1","observation_id":"2f4be53b-0821-41ab-b868-f6528462e6ea","resolution":{"observed_at":"2026-08-05T11:25:23.707799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.103366Z","title":"Identifying depression on reddit: The effect of training data,","venue":null,"work_id":"b450b6fb-2db8-4859-8bab-4db9b5cd96d1","year":2018},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.709687Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:c46cf2d8d0c3db08b66b0e60f6592b21daeecf508d25aea091a4dad549ccdd7e","observation_id":"43681e8b-7c44-480f-9bfc-bfdd835266be","resolution":{"observed_at":"2026-08-05T11:25:24.105506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.097623Z","title":"Sad: A stress anno- tated dataset for recognizing everyday stressors in sms-like conversational systems,","venue":null,"work_id":"1cb5439d-78c6-4436-8ed4-23e833792002","year":2021},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.711193Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:73b137924d383f75f8e6722770dc390ef28ed0fa484ecd0e7cd7bbda61bf659c","observation_id":"606e584e-80f3-4fca-92fa-dd097ff2711d","resolution":{"observed_at":"2026-08-05T11:25:24.099759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2305.18727","last_updated":"2023-05-30T04:08:40Z","snapshot_observed_at":"2026-07-06T15:35:11.938380Z","submitted_at":"2023-05-30T04:08:40Z","title":"An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts","version":1},"cited_work":{"arxiv_id":"2305.18727","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.18727","snapshot_observed_at":"2026-08-05T11:25:23.795889Z","title":"An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts","venue":"cs.CL","work_id":"9c52fd97-fea3-40b4-9ebe-a240b04b9740","year":2023},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.714024Z"},"links":{"cited_paper":"/paper/2305.18727","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:de64721f7af8113d396ce83b16ec15eb195d7e2e9b205a265f842e4feb9e70c6","observation_id":"55ffe0fd-c6ee-44e5-b3a1-a649201e197b","resolution":{"observed_at":"2026-08-05T11:25:23.798319Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.090897Z","title":"Multiwd: Multiple wellness dimensions in social media posts,","venue":null,"work_id":"04d81e70-ccf0-46ce-9fe5-45f59e333eb8","year":2023},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.717459Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:cb25574405948528e3a17c6f2b5fa99d946e2d6efc791841236b8402e08aedab","observation_id":"f39284ed-e01d-4f00-b89b-9d4c99d4831e","resolution":{"observed_at":"2026-08-05T11:25:24.093459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.083746Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":"ef4f84c7-eb34-44ed-95b7-bf7ffc211402","year":2022},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.719271Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:dc9fcbeed91243c987c87a5ad0981b228270fb5a96c6a7485f26d8b2fb6849fa","observation_id":"2cdacbc9-7bb8-40b9-be5d-a08a12edc5c7","resolution":{"observed_at":"2026-08-05T11:25:24.085854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1910.01108","last_updated":"2020-03-01T02:57:50Z","snapshot_observed_at":"2026-08-07T19:07:36.327251Z","submitted_at":"2019-10-02T17:56:28Z","title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.01108","snapshot_observed_at":"2026-08-05T11:25:23.721115Z","title":"Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter,","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.721115Z"},"links":{"cited_paper":"/paper/1910.01108","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:a8b5a86921b1b2bd07d3032b712465a7e3efdf9c45445f20c96ed352599fc991","observation_id":"6c8b9616-d42e-455a-88c8-56917c0d4bd5","resolution":{"observed_at":"2026-08-05T11:25:23.721115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.078261Z","title":"Fine-tuning ai models with limited resources,","venue":null,"work_id":"96e6eb79-9b24-4517-966b-3a257df9883b","year":2025},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.723209Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:ceecf5f9d04b7824dc995538f1c0dec9bb8dc37b697d64e39dfb27e8da684fe6","observation_id":"7df4ed26-b260-4bd3-8722-ab7391f3c951","resolution":{"observed_at":"2026-08-05T11:25:24.080318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2203.02155","last_updated":"2022-03-04T07:04:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-03-04T07:04:42Z","title":"Training language models to follow instructions with human feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.02155","snapshot_observed_at":"2026-08-05T11:25:23.725460Z","title":"Training language models to follow instructions with human feedback,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.725460Z"},"links":{"cited_paper":"/paper/2203.02155","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:7201dc5a36ac8785b8824c12f5be23df463cc96516c27afe17cf0b1fc8195f9f","observation_id":"d4215a82-bfe9-47ad-b913-465696e84990","resolution":{"observed_at":"2026-08-05T11:25:23.725460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.071284Z","title":"Alpaca: A strong, replicable instruction-following model,","venue":null,"work_id":"8d1ba647-8705-4c4f-9863-3ee5deaefbb1","year":2023},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.728129Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:8ba1a8dcc6115e9a1773d9d7d2e1ca36a5693186df1145cfaea701d004c5707f","observation_id":"adc49220-4819-4c3a-9a7a-daacc70512ea","resolution":{"observed_at":"2026-08-05T11:25:24.074261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.064506Z","title":"Transformers reinforcement learning (trl),","venue":null,"work_id":"129aedb4-ea31-46b5-a8cd-95bfcf3e2fd9","year":2023},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.729903Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:287df8100e634e29cb74ea3898bec3182467135e8ce8d6184248682e9d1547fc","observation_id":"d16d9128-d55d-4df2-950f-92c18549b5a3","resolution":{"observed_at":"2026-08-05T11:25:24.066497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.056714Z","title":"Edge-llm: Enabling efficient large language model adaptation on edge devices via unified compression and adaptive layer voting,","venue":null,"work_id":"89b1c7c0-745b-40cc-ab27-9ea6022ae7f3","year":2024},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.731533Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:6edb472e4ca89138ace545f53868cfcbe28b2575e874b2abee78e8b92e4929f3","observation_id":"a93b4cd0-c36b-4716-a8ba-684000c90a2e","resolution":{"observed_at":"2026-08-05T11:25:24.059211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.050371Z","title":"Affective intelligence—the missing link?","venue":null,"work_id":"4d7f46cb-99b9-4672-a1cb-d9162d370cd4","year":1997},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.733249Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:5738504e6e378a838595c6bac7a935586e2c1195b4de042900498992159982dc","observation_id":"0f734e67-9546-455e-b0d6-613ef156c0cd","resolution":{"observed_at":"2026-08-05T11:25:24.052598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.042705Z","title":"Affect detection: An interdisciplinary review of models, methods, and their applications,","venue":null,"work_id":"de1c1f2b-d2f0-40b8-8cfb-5403a788165e","year":2010},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.734881Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:6298ed3794eee11253e41966f398467de80defc07c13f58aad81854e946645dc","observation_id":"75ec8d00-d94d-4aee-abab-345e6703b699","resolution":{"observed_at":"2026-08-05T11:25:24.045123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.036846Z","title":"Llm-based edge intelligence: A comprehensive survey on architectures, applications, security and trustwor- thiness,","venue":null,"work_id":"3e5e700d-25d3-49f5-b999-e28823a149cc","year":2024},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.736569Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:392729bb02d19c51637974e7a5187512383902bbd1813b2518ef6ca80b9e256d","observation_id":"6873dcc9-d0a2-4963-a859-736644bc200f","resolution":{"observed_at":"2026-08-05T11:25:24.038984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2410.00531","last_updated":"2024-10-01T09:18:56Z","snapshot_observed_at":"2026-08-06T02:16:19.464389Z","submitted_at":"2024-10-01T09:18:56Z","title":"TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices","version":1},"cited_work":{"arxiv_id":"2410.00531","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.00531","snapshot_observed_at":"2026-08-05T11:25:23.771841Z","title":"TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices","venue":"cs.DC","work_id":"66d477d4-6510-4a9b-b4e4-058194fc1d89","year":2024},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.738172Z"},"links":{"cited_paper":"/paper/2410.00531","citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:8b9278e1f233e4a7ea79faf9b4edbe7e3a8ea8084e43764fa898bddd14e03370","observation_id":"5bd50f4e-cde3-448f-b342-3d37da7a703c","resolution":{"observed_at":"2026-08-05T11:25:23.775974Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.030482Z","title":"It should stay grounded in the emotional context of the post and imagine a supportive or healing visual outcome (e.g., recovery, connection, hope)","venue":null,"work_id":"e69d418d-a4df-4f9e-9dc5-2aebaad58a52","year":null},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.740097Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:c64577df0a086f28aefce7246e0f20788a0f81aa06c4105c67a6908041fae91d","observation_id":"02b26f3c-9d3d-4b2a-a2ca-5ffbf1fd4d6b","resolution":{"observed_at":"2026-08-05T11:25:24.033106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.023405Z","title":"me fading into the background","venue":null,"work_id":"11a1c9e0-fba0-49c6-b3d3-cac7cede404a","year":null},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.742065Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:50ff4680f603fda3f512bfb0d27481baa3ee3ad2b7c432e600a64a0719e617eb","observation_id":"476325db-d59f-4a0c-a622-6a40e65d87d6","resolution":{"observed_at":"2026-08-05T11:25:24.025942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.017306Z","title":"session_consistent","venue":null,"work_id":"abbb9c3a-4413-400f-a3c9-6cf3e5c1f18c","year":null},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.744085Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:fd90047e1fef14b78b309fa33fc76c84de81512bb96bf93ecc4a8fd826946ab4","observation_id":"aa41545d-2a9a-4e25-b7fe-e79e09c7bdcf","resolution":{"observed_at":"2026-08-05T11:25:24.019320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.002346Z","title":"\"\" prompt += f'Post:","venue":null,"work_id":"ae076265-fb95-4504-9662-07f71c0d7553","year":null},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.747940Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:6c5d9a0603ea4b5806915e2e6f378a4a59be4a45be5ec2ee1a09d6bbd85d4cac","observation_id":"0bd4b3a1-63cb-44ca-9b0c-8ce9558dd147","resolution":{"observed_at":"2026-08-05T11:25:24.004896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:24.010790Z","title":null,"venue":null,"work_id":"8146c2af-74b3-44a1-92b3-fa2bdf3375b4","year":null},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.749795Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:1a5307a2cd70585e91376299a3f9d308862cf4c4eaa54bd732b083b961c76ccc","observation_id":"12ca61c3-bd83-47e0-b1ab-4ccef55f4a4a","resolution":{"observed_at":"2026-08-05T11:25:24.012890Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:25:23.996115Z","title":"\"\" for example_text, label in few_shot_examples: prompt += f'Post:","venue":null,"work_id":"5ea15f30-c066-48b5-8d28-d33f0902480e","year":null},"citing_paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T11:25:23.751649Z"},"links":{"citing_paper":"/paper/2509.04512"},"observation_digest":"sha256:b7e054fd666f967253e87f1b49b85faa97c1d0c89aaae35b0c42412732081128","observation_id":"9b837baf-5eb2-474f-9925-d7f0cc5ca7cc","resolution":{"observed_at":"2026-08-05T11:25:23.998348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2509.04512","last_updated":"2025-09-02T20:53:03Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T10:36:58.496060Z","submitted_at":"2025-09-02T20:53:03Z","title":"Scaling behavior of large language models in emotional safety classification across sizes and tasks"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":3,"verified_fuzzy":25},"total_outbound_references":41},"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 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2509.04512."}