{"as_of":"2026-08-09T23:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bc0bea4ccceb5c985fe0eaae56802ec92981f43c76470bf502483134cc7944be","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:39:02.165360Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T08:25:33.133716Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.20807","last_updated":"2025-03-24T20:41:57Z","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20807","snapshot_observed_at":"2026-08-07T04:39:02.165360Z","title":"Fundamental safety-capability trade-offs in fine-tuning large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10378","last_updated":"2025-06-12T06:07:42Z","snapshot_observed_at":"2026-08-09T14:06:04.643669Z","submitted_at":"2025-06-12T06:07:42Z","title":"Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T04:39:02.165360Z"},"links":{"cited_paper":"/paper/2503.20807","citing_paper":"/paper/2506.10378"},"observation_digest":"sha256:ab9456270453063fdf66c9e946c272f58cc6b8de7d012c2952264bb8928b2db0","observation_id":"39da5403-40f6-4d78-85f8-53acdaf25241","resolution":{"observed_at":"2026-08-07T04:39:02.165360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20807","last_updated":"2025-03-24T20:41:57Z","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20807","snapshot_observed_at":"2026-08-06T20:45:53.256752Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.02057","last_updated":"2025-07-02T18:00:49Z","snapshot_observed_at":"2026-08-09T00:37:18.838001Z","submitted_at":"2025-07-02T18:00:49Z","title":"MGC: A Compiler Framework Exploiting Compositional Blindness in Aligned LLMs for Malware Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:53.256752Z"},"links":{"cited_paper":"/paper/2503.20807","citing_paper":"/paper/2507.02057"},"observation_digest":"sha256:46c5ab35ac954809c0998e818a0b2b4d2f318c7bb52a088c1ad687f0cafed8c1","observation_id":"a94f89f0-6f8a-4e3c-8a54-48347b233e42","resolution":{"observed_at":"2026-08-06T20:45:53.256752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20807","last_updated":"2025-03-24T20:41:57Z","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20807","snapshot_observed_at":"2026-08-06T20:43:17.054377Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.02097","last_updated":"2026-06-28T08:31:01Z","snapshot_observed_at":"2026-08-09T11:24:16.930814Z","submitted_at":"2025-07-02T19:25:44Z","title":"The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:43:17.054377Z"},"links":{"cited_paper":"/paper/2503.20807","citing_paper":"/paper/2507.02097"},"observation_digest":"sha256:5c531c03104c75ba7df980949e9a829586276e1a1017c2fc1641877639c3ba42","observation_id":"bd4afc7b-fa79-48ba-8e05-a5e2111d8659","resolution":{"observed_at":"2026-08-06T20:43:17.054377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20807","last_updated":"2025-03-24T20:41:57Z","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20807","snapshot_observed_at":"2026-08-06T18:28:42.095587Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.08898","last_updated":"2025-07-17T08:01:44Z","snapshot_observed_at":"2026-08-08T14:51:56.908190Z","submitted_at":"2025-07-11T05:15:35Z","title":"SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:28:42.095587Z"},"links":{"cited_paper":"/paper/2503.20807","citing_paper":"/paper/2507.08898"},"observation_digest":"sha256:e29e5ce49bb5ad9148d253b6f5af8d88580db67fb32e7525dc8cf80fdfafe73d","observation_id":"94c9e1d4-5c84-47b2-b681-6432ad745347","resolution":{"observed_at":"2026-08-06T18:28:42.095587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20807","last_updated":"2025-03-24T20:41:57Z","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20807","snapshot_observed_at":"2026-08-05T17:26:48.603348Z","title":"Fundamental safety-capability trade-offs in fine-tuning large language models.arXiv preprint arXiv:2503.20807, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.16318","last_updated":"2025-09-01T08:35:27Z","snapshot_observed_at":"2026-08-07T01:49:06.395378Z","submitted_at":"2025-08-22T11:57:55Z","title":"SATORI: Static Test Oracle Generation for REST APIs","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T17:26:48.603348Z"},"links":{"cited_paper":"/paper/2503.20807","citing_paper":"/paper/2508.16318"},"observation_digest":"sha256:0aa2282f3d0068450b713fb040e1c8b61dcf11386842390a1353143bf2ceb8a2","observation_id":"7c230880-3385-43e3-8533-e11278fc4f3f","resolution":{"observed_at":"2026-08-05T17:26:48.603348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20807","last_updated":"2025-03-24T20:41:57Z","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.20807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.20807","snapshot_observed_at":"2026-07-01T08:25:33.133716Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","venue":null,"work_id":"5159d302-e48f-43dc-b9d0-bdb1d594511d","year":2025},"citing_paper":{"arxiv_id":"2602.17546","last_updated":"2026-05-11T17:06:52Z","snapshot_observed_at":"2026-07-06T22:46:26.082843Z","submitted_at":"2026-02-19T16:59:54Z","title":"Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-15T20:51:57.399260Z"},"links":{"cited_paper":"/paper/2503.20807","citing_paper":"/paper/2602.17546"},"observation_digest":"sha256:a55e4e327dfcffb880f8ac260e5783166108baf07432db27696515a16cfcf1af","observation_id":"3107c52a-dcc4-49bd-bf8e-ffbe921079db","resolution":{"observed_at":"2026-05-15T20:56:37.297488Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2503.20807","last_updated":"2025-03-24T20:41:57Z","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.20807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.20807","snapshot_observed_at":"2026-07-01T08:25:33.133716Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","venue":null,"work_id":"5159d302-e48f-43dc-b9d0-bdb1d594511d","year":2025},"citing_paper":{"arxiv_id":"2605.04572","last_updated":"2026-05-06T07:17:33Z","snapshot_observed_at":"2026-08-01T20:51:20.997015Z","submitted_at":"2026-05-06T07:17:33Z","title":"From Parameter Dynamics to Risk Scoring : Quantifying Sample-Level Safety Degradation in LLM Fine-tuning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-08T18:08:11.122577Z"},"links":{"cited_paper":"/paper/2503.20807","citing_paper":"/paper/2605.04572"},"observation_digest":"sha256:bc1631bdbe26ed7067bde03c68bf95ee56f979954304299a38ea5cd72bf7d9da","observation_id":"00d9cc25-c853-451b-84e9-ad4052653782","resolution":{"observed_at":"2026-05-09T06:45:44.182263Z","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":"2503.20807","last_updated":"2025-03-24T20:41:57Z","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.20807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.20807","snapshot_observed_at":"2026-07-01T08:25:33.133716Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","venue":null,"work_id":"5159d302-e48f-43dc-b9d0-bdb1d594511d","year":2025},"citing_paper":{"arxiv_id":"2605.23024","last_updated":"2026-05-21T20:48:35Z","snapshot_observed_at":"2026-07-06T23:33:19.375527Z","submitted_at":"2026-05-21T20:48:35Z","title":"The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems","version":1},"reference_index":128,"source":"pdf_text","source_observed_at":"2026-05-25T05:29:39.640753Z"},"links":{"cited_paper":"/paper/2503.20807","citing_paper":"/paper/2605.23024"},"observation_digest":"sha256:6c3cba78c29feca42729e59b613e0304835bafeb20dad4b6f887886263faa7fd","observation_id":"7b53cd25-bba3-46a8-aa58-7d927f3c01ed","resolution":{"observed_at":"2026-05-25T05:30:22.757248Z","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":"2503.20807","last_updated":"2025-03-24T20:41:57Z","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.20807","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.20807","snapshot_observed_at":"2026-07-01T08:25:33.133716Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","venue":null,"work_id":"5159d302-e48f-43dc-b9d0-bdb1d594511d","year":2025},"citing_paper":{"arxiv_id":"2606.26102","last_updated":"2026-07-12T17:21:56Z","snapshot_observed_at":"2026-07-16T23:18:45.986624Z","submitted_at":"2026-04-30T17:55:22Z","title":"Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-01T08:21:41.008505Z"},"links":{"cited_paper":"/paper/2503.20807","citing_paper":"/paper/2606.26102"},"observation_digest":"sha256:c3d621d4d94853cac09590e7950bdbd7647573d171087c625ac91cca5cc9df44","observation_id":"8d9c324b-6d11-41f9-9b30-8f284c9a2d0b","resolution":{"observed_at":"2026-07-01T08:25:33.136615Z","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":"2503.20807","last_updated":"2025-03-24T20:41:57Z","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20807","snapshot_observed_at":"2026-07-14T19:20:54.974570Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.26102","last_updated":"2026-07-12T17:21:56Z","snapshot_observed_at":"2026-07-16T23:18:45.986624Z","submitted_at":"2026-04-30T17:55:22Z","title":"Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-14T19:20:54.974570Z"},"links":{"cited_paper":"/paper/2503.20807","citing_paper":"/paper/2606.26102"},"observation_digest":"sha256:475fda1b6e818ab65e74eb57a2aba6e91fa5140473a3c83410ef621d4a28458f","observation_id":"0041fc41-573d-4f99-b5e7-10a2dcf71261","resolution":{"observed_at":"2026-07-14T19:20:54.974570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.20807/citation-record","integrity":"/paper/2503.20807/integrity","json":"/paper/2503.20807/citation-record.json","paper":"/paper/2503.20807"},"outbound":[],"paper":{"arxiv_id":"2503.20807","last_updated":"2025-03-24T20:41:57Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-07T16:40:01.450194Z","submitted_at":"2025-03-24T20:41:57Z","title":"Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2503.20807."}