{"as_of":"2026-08-09T13:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4272f4ba8fc3098e0f6095abd591a9bfcd51bc6c08ec72f00e45a44526b701fb","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T04:09:49.515613Z","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":"2026-07-02T16:57:10.026107Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.07470","last_updated":"2024-04-11T04:22:15Z","snapshot_observed_at":"2026-08-07T09:52:49.159319Z","submitted_at":"2024-04-11T04:22:15Z","title":"Scalable Language Model with Generalized Continual Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07470","snapshot_observed_at":"2026-08-09T04:09:49.515613Z","title":"Scalable language model with generalized continual learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04390","last_updated":"2025-06-10T13:44:01Z","snapshot_observed_at":"2026-08-09T04:04:14.484661Z","submitted_at":"2025-02-05T23:49:33Z","title":"In Praise of Stubbornness: An Empirical Case for Cognitive-Dissonance Aware Continual Update of Knowledge in LLMs","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-09T04:09:49.515613Z"},"links":{"cited_paper":"/paper/2404.07470","citing_paper":"/paper/2502.04390"},"observation_digest":"sha256:3ca3a01abad9120db14791110ba5e69f04256b42e2057e37ed0f4e7af945babf","observation_id":"f64274f4-b460-4b21-8ec6-51e32c6e32ff","resolution":{"observed_at":"2026-08-09T04:09:49.515613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07470","last_updated":"2024-04-11T04:22:15Z","snapshot_observed_at":"2026-08-07T09:52:49.159319Z","submitted_at":"2024-04-11T04:22:15Z","title":"Scalable Language Model with Generalized Continual Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07470","snapshot_observed_at":"2026-08-07T12:40:22.174315Z","title":"Scalable language model with generalized continual learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.15702","last_updated":"2025-05-30T01:54:12Z","snapshot_observed_at":"2026-08-08T01:32:10.806688Z","submitted_at":"2025-05-30T01:54:12Z","title":"Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:40:22.174315Z"},"links":{"cited_paper":"/paper/2404.07470","citing_paper":"/paper/2506.15702"},"observation_digest":"sha256:87964ecd915fe0945efac163c9362bff6ced4ae218c4fa71d19526c680a13b72","observation_id":"0136af4c-2c5a-43b4-bca9-15aa968675cf","resolution":{"observed_at":"2026-08-07T12:40:22.174315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07470","last_updated":"2024-04-11T04:22:15Z","snapshot_observed_at":"2026-08-07T09:52:49.159319Z","submitted_at":"2024-04-11T04:22:15Z","title":"Scalable Language Model with Generalized Continual Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07470","snapshot_observed_at":"2026-08-06T21:53:01.348484Z","title":"Scalable language model with generalized contin- ual learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23120","last_updated":"2025-06-29T06:58:08Z","snapshot_observed_at":"2026-08-06T23:48:48.503046Z","submitted_at":"2025-06-29T06:58:08Z","title":"Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T21:53:01.348484Z"},"links":{"cited_paper":"/paper/2404.07470","citing_paper":"/paper/2506.23120"},"observation_digest":"sha256:528c72f7f80dfbce5e5d48cbee3d11b3a2c8f25411d33dbcd3f9f6d64178f732","observation_id":"f7cae70b-0dc2-4b0c-8eb7-ce7ca5f1d669","resolution":{"observed_at":"2026-08-06T21:53:01.348484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07470","last_updated":"2024-04-11T04:22:15Z","snapshot_observed_at":"2026-08-07T09:52:49.159319Z","submitted_at":"2024-04-11T04:22:15Z","title":"Scalable Language Model with Generalized Continual Learning","version":1},"cited_work":{"arxiv_id":"2404.07470","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.07470","snapshot_observed_at":"2026-07-02T16:57:10.026107Z","title":"Scalable lan- guage model with generalized continual learning.arXiv preprint arXiv:2404.07470, 2024a","venue":null,"work_id":"5be70184-d5b2-4d2a-bbbf-368ffdf9071b","year":null},"citing_paper":{"arxiv_id":"2606.07108","last_updated":"2026-06-08T06:45:26Z","snapshot_observed_at":"2026-07-06T23:46:46.925980Z","submitted_at":"2026-06-05T10:02:19Z","title":"DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T22:16:01.457276Z"},"links":{"cited_paper":"/paper/2404.07470","citing_paper":"/paper/2606.07108"},"observation_digest":"sha256:11c49ecd684966e882b04967343fb6e3bc86f78a074a45fbcf1fd94b944a8fec","observation_id":"1489d795-14ca-47c8-bc1f-5f47515d9f86","resolution":{"observed_at":"2026-07-02T16:57:10.027805Z","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":"2404.07470","last_updated":"2024-04-11T04:22:15Z","snapshot_observed_at":"2026-08-07T09:52:49.159319Z","submitted_at":"2024-04-11T04:22:15Z","title":"Scalable Language Model with Generalized Continual Learning","version":1},"cited_work":{"arxiv_id":"2404.07470","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.07470","snapshot_observed_at":"2026-07-02T16:57:10.026107Z","title":"Scalable lan- guage model with generalized continual learning.arXiv preprint arXiv:2404.07470, 2024a","venue":null,"work_id":"5be70184-d5b2-4d2a-bbbf-368ffdf9071b","year":null},"citing_paper":{"arxiv_id":"2606.26120","last_updated":"2026-05-27T02:47:50Z","snapshot_observed_at":"2026-07-07T00:00:31.981360Z","submitted_at":"2026-05-27T02:47:50Z","title":"Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T13:27:45.796650Z"},"links":{"cited_paper":"/paper/2404.07470","citing_paper":"/paper/2606.26120"},"observation_digest":"sha256:21eec87394a88545feb1dacfa16f05e4091876dc06b0f8ef09a756bda9a78f3f","observation_id":"90b9ebce-e4e0-4369-8acb-d680984c86c3","resolution":{"observed_at":"2026-06-29T13:33:28.285426Z","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":"2404.07470","last_updated":"2024-04-11T04:22:15Z","snapshot_observed_at":"2026-08-07T09:52:49.159319Z","submitted_at":"2024-04-11T04:22:15Z","title":"Scalable Language Model with Generalized Continual Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07470","snapshot_observed_at":"2026-08-02T13:42:25.714439Z","title":"Scalable lan- guage model with generalized continual learning.arXiv preprint arXiv:2404.07470, 2024a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20467","last_updated":"2026-05-19T06:27:58Z","snapshot_observed_at":"2026-08-08T06:33:24.325410Z","submitted_at":"2026-05-19T06:27:58Z","title":"DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T13:42:25.714439Z"},"links":{"cited_paper":"/paper/2404.07470","citing_paper":"/paper/2607.20467"},"observation_digest":"sha256:a7873792594f47f6df7064a24a9f6e0ba3a37fa439a92ddaeb5a95df94cd5264","observation_id":"8daa6cea-3707-4c39-a05a-fa3b3ec6e825","resolution":{"observed_at":"2026-08-02T13:42:25.714439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.07470/citation-record","integrity":"/paper/2404.07470/integrity","json":"/paper/2404.07470/citation-record.json","paper":"/paper/2404.07470"},"outbound":[],"paper":{"arxiv_id":"2404.07470","last_updated":"2024-04-11T04:22:15Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T09:52:49.159319Z","submitted_at":"2024-04-11T04:22:15Z","title":"Scalable Language Model with Generalized Continual Learning"},"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 6 inbound Pith citation observations for arXiv:2404.07470."}