{"as_of":"2026-08-20T20:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e1384bbcffcecf45da7dc36af5842e8dfae461bac2191c13a01bb94af319899","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:54:23.559316Z","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":"2026-07-03T05:07:39.078039Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.19465","last_updated":"2024-08-31T11:31:02Z","snapshot_observed_at":"2026-08-17T11:06:43.522635Z","submitted_at":"2024-02-29T18:55:06Z","title":"Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19465","snapshot_observed_at":"2026-08-11T23:54:23.559316Z","title":"Towards tracing trustworthiness dynamics: Revisiting pre-training period of large lan- guage models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02104","last_updated":"2024-12-03T02:54:31Z","snapshot_observed_at":"2026-08-16T12:56:12.864592Z","submitted_at":"2024-12-03T02:54:31Z","title":"Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-11T23:54:23.559316Z"},"links":{"cited_paper":"/paper/2402.19465","citing_paper":"/paper/2412.02104"},"observation_digest":"sha256:348553db00ebfae70eb5d097f38f96b9526b3b713a621632a194c2c838569eb4","observation_id":"962de514-9607-414a-a139-18702a0b026e","resolution":{"observed_at":"2026-08-11T23:54:23.559316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19465","last_updated":"2024-08-31T11:31:02Z","snapshot_observed_at":"2026-08-17T11:06:43.522635Z","submitted_at":"2024-02-29T18:55:06Z","title":"Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19465","snapshot_observed_at":"2026-08-11T20:13:07.396643Z","title":"Towards tracing trustworthiness dynamics: Revisiting pre-training period of large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.14186","last_updated":"2024-12-22T08:52:15Z","snapshot_observed_at":"2026-08-19T19:57:23.402734Z","submitted_at":"2024-12-08T14:14:16Z","title":"Towards AI-$45^{\\circ}$ Law: A Roadmap to Trustworthy AGI","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-11T20:13:07.396643Z"},"links":{"cited_paper":"/paper/2402.19465","citing_paper":"/paper/2412.14186"},"observation_digest":"sha256:3c4a0235d64da92e8c5cc8d69060e5a6cf53922d6ab78507bddd26b43b22c261","observation_id":"d15e6ae2-5b79-456d-a11f-6de72e10181c","resolution":{"observed_at":"2026-08-11T20:13:07.396643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19465","last_updated":"2024-08-31T11:31:02Z","snapshot_observed_at":"2026-08-17T11:06:43.522635Z","submitted_at":"2024-02-29T18:55:06Z","title":"Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19465","snapshot_observed_at":"2026-08-07T11:19:47.213266Z","title":"Towards tracing trustworthiness dynamics: Revisiting pre-training period of large language models.arXiv preprint arXiv:2402.19465, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02867","last_updated":"2025-06-04T15:00:58Z","snapshot_observed_at":"2026-08-17T01:41:23.474492Z","submitted_at":"2025-06-03T13:31:10Z","title":"Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:47.213266Z"},"links":{"cited_paper":"/paper/2402.19465","citing_paper":"/paper/2506.02867"},"observation_digest":"sha256:58e42d7845d017cf9531f205c979b66a09665e5808cbc2b2c885812ca1d81a3a","observation_id":"11af6c61-b20e-41c6-938f-4433ea972d12","resolution":{"observed_at":"2026-08-07T11:19:47.213266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19465","last_updated":"2024-08-31T11:31:02Z","snapshot_observed_at":"2026-08-17T11:06:43.522635Z","submitted_at":"2024-02-29T18:55:06Z","title":"Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.19465","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.19465","snapshot_observed_at":"2026-07-03T05:07:39.078039Z","title":"Towards tracing trustworthiness dy- namics: Revisiting pre-training period of large language models.arXiv preprint arXiv:2402.19465","venue":null,"work_id":"cc5e9bc4-5afc-4180-8c85-2eff466c2c6f","year":2024},"citing_paper":{"arxiv_id":"2605.04572","last_updated":"2026-05-06T07:17:33Z","snapshot_observed_at":"2026-08-17T17:01:25.214158Z","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":14,"source":"pdf_text","source_observed_at":"2026-05-08T18:08:11.122577Z"},"links":{"cited_paper":"/paper/2402.19465","citing_paper":"/paper/2605.04572"},"observation_digest":"sha256:16043d77fa9bbd3b277243fb5567afd1a4715d19fbbd6298321c689b16216900","observation_id":"66d74be5-85cb-4edd-b3fc-0082312c4e5e","resolution":{"observed_at":"2026-05-09T06:45:44.161781Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19465","last_updated":"2024-08-31T11:31:02Z","snapshot_observed_at":"2026-08-17T11:06:43.522635Z","submitted_at":"2024-02-29T18:55:06Z","title":"Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.19465","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.19465","snapshot_observed_at":"2026-07-03T05:07:39.078039Z","title":"Towards tracing trustworthiness dy- namics: Revisiting pre-training period of large language models.arXiv preprint arXiv:2402.19465","venue":null,"work_id":"cc5e9bc4-5afc-4180-8c85-2eff466c2c6f","year":2024},"citing_paper":{"arxiv_id":"2606.11375","last_updated":"2026-06-09T19:00:23Z","snapshot_observed_at":"2026-08-13T06:45:19.506134Z","submitted_at":"2026-06-09T19:00:23Z","title":"When Probing Accuracy Saturates, Fragility Resolves: A Complementary Metric for LLM Pre-Training Analysis","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-06-27T13:25:03.893949Z"},"links":{"cited_paper":"/paper/2402.19465","citing_paper":"/paper/2606.11375"},"observation_digest":"sha256:7dde1a8f46d5b3bcd975b404cc8bf7459b690ae73434f91a5f6b074f8926b04b","observation_id":"a805da87-242c-4749-a62f-b00e7b9a664a","resolution":{"observed_at":"2026-07-03T05:07:39.079600Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.19465/citation-record","integrity":"/paper/2402.19465/integrity","json":"/paper/2402.19465/citation-record.json","paper":"/paper/2402.19465"},"outbound":[],"paper":{"arxiv_id":"2402.19465","last_updated":"2024-08-31T11:31:02Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T11:06:43.522635Z","submitted_at":"2024-02-29T18:55:06Z","title":"Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of 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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.19465."}