{"as_of":"2026-08-07T00:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9afa778f24cdaf3ebeee328744dc4f8c24b36a8684e3b9254690dcc2c5837b30","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":"2026-08-06T06:34:29.942622+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":"2026-08-07T00:49:26.075070Z","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":"2026-05-23T20:43:25.233102Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey","version":2},"cited_work":{"arxiv_id":"2211.12701","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2211.12701","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Continual learning of natural language processing tasks: A survey","venue":null,"work_id":"5591b22e-4161-4910-8c7d-6dc8411e36b8","year":2023},"citing_paper":{"arxiv_id":"2308.08747","last_updated":"2025-01-05T04:09:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-08-17T02:53:23Z","title":"An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-18T08:26:41.953873Z"},"links":{"cited_paper":"/paper/2211.12701","citing_paper":"/paper/2308.08747"},"observation_digest":"sha256:b6781d86e8ac50c9c119956f75a26e9e77e1298321e11f4a37c205f1847803b2","observation_id":"ea2e807a-02ea-4930-a67a-f7e46019e981","resolution":{"observed_at":"2026-05-18T08:26:42.030454Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey","version":2},"cited_work":{"arxiv_id":"2211.12701","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2211.12701","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Continual learning of natural language processing tasks: A survey","venue":null,"work_id":"5591b22e-4161-4910-8c7d-6dc8411e36b8","year":2023},"citing_paper":{"arxiv_id":"2309.07864","last_updated":"2023-09-19T08:29:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-14T17:12:03Z","title":"The Rise and Potential of Large Language Model Based Agents: A Survey","version":3},"reference_index":197,"source":"pdf_text","source_observed_at":"2026-05-11T10:47:44.152066Z"},"links":{"cited_paper":"/paper/2211.12701","citing_paper":"/paper/2309.07864"},"observation_digest":"sha256:f2d6458c0a0329f368b44624839064c451aba18ad2e46029a6faade7d2cd48b2","observation_id":"8639cbda-77db-43a8-a5f2-3916c4f84d70","resolution":{"observed_at":"2026-05-11T10:47:46.516554Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey","version":2},"cited_work":{"arxiv_id":"2211.12701","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2211.12701","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Continual learning of natural language processing tasks: A survey","venue":null,"work_id":"5591b22e-4161-4910-8c7d-6dc8411e36b8","year":2023},"citing_paper":{"arxiv_id":"2409.06624","last_updated":"2026-04-29T15:56:44Z","snapshot_observed_at":"2026-07-06T19:13:16.067395Z","submitted_at":"2024-09-10T16:26:43Z","title":"A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-23T20:42:38.782232Z"},"links":{"cited_paper":"/paper/2211.12701","citing_paper":"/paper/2409.06624"},"observation_digest":"sha256:64396ff17c79e70de0df588d7b108dda1a2fcdc5bf253e2bc9947e90930250f5","observation_id":"67cad7a2-72a2-4d5b-a626-d9298a0eb81e","resolution":{"observed_at":"2026-05-23T20:43:25.236651Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.12701","snapshot_observed_at":"2026-08-07T00:49:26.075070Z","title":"Continual learning of natural language processing tasks: A survey, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12666","last_updated":"2025-06-14T23:57:54Z","snapshot_observed_at":"2026-08-07T00:41:55.234196Z","submitted_at":"2025-06-14T23:57:54Z","title":"LIFELONG SOTOPIA: Evaluating Social Intelligence of Language Agents Over Lifelong Social Interactions","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T00:49:26.075070Z"},"links":{"cited_paper":"/paper/2211.12701","citing_paper":"/paper/2506.12666"},"observation_digest":"sha256:c3cec6fca8ef0e22604bb11d81acdaff2da7f1374b8ec6a778504d924b674685","observation_id":"ecd7f171-186a-4596-8399-7be397da269e","resolution":{"observed_at":"2026-08-07T00:49:26.075070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.12701","snapshot_observed_at":"2026-08-06T16:36:24.938083Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.14239","last_updated":"2025-07-17T14:25:24Z","snapshot_observed_at":"2026-08-06T16:26:37.770038Z","submitted_at":"2025-07-17T14:25:24Z","title":"CCL-XCoT: An Efficient Cross-Lingual Knowledge Transfer Method for Mitigating Hallucination Generation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T16:36:24.938083Z"},"links":{"cited_paper":"/paper/2211.12701","citing_paper":"/paper/2507.14239"},"observation_digest":"sha256:0aadd7ac441f96b948c80a2c42da4782114a034abb1c45a639613c63dd62e640","observation_id":"d7505053-bc10-4971-94d2-b2d64afb7dd8","resolution":{"observed_at":"2026-08-06T16:36:24.938083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.12701","snapshot_observed_at":"2026-07-13T22:30:15.744771Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.18639","last_updated":"2026-06-02T15:33:49Z","snapshot_observed_at":"2026-08-02T18:37:09.947008Z","submitted_at":"2026-03-19T09:03:06Z","title":"OrthoPhys: Physically Plausible Video Generation with Orthogonal-View Geometry Guidance","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-13T22:30:15.744771Z"},"links":{"cited_paper":"/paper/2211.12701","citing_paper":"/paper/2603.18639"},"observation_digest":"sha256:ba78c00850ccdb9f4394a0fea39aedbd2fda940c0bcf270f0daa8b2049fd72d9","observation_id":"7a58532b-a032-4cc8-ab71-7b9e5b9bd52e","resolution":{"observed_at":"2026-07-13T22:30:15.744771Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey","version":2},"cited_work":{"arxiv_id":"2211.12701","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2211.12701","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Continual learning of natural language processing tasks: A survey","venue":null,"work_id":"5591b22e-4161-4910-8c7d-6dc8411e36b8","year":2023},"citing_paper":{"arxiv_id":"2604.10590","last_updated":"2026-04-12T11:43:25Z","snapshot_observed_at":"2026-07-06T22:59:09.778842Z","submitted_at":"2026-04-12T11:43:25Z","title":"Bridging Linguistic Gaps: Cross-Lingual Mapping in Pre-Training and Dataset for Enhanced Multilingual LLM Performance","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T15:02:54.374120Z"},"links":{"cited_paper":"/paper/2211.12701","citing_paper":"/paper/2604.10590"},"observation_digest":"sha256:b194ff429f06867adf77105190cd0797d0452b0889af020a26cb584fca029a6e","observation_id":"392c831a-ade2-4298-b688-7df054398a00","resolution":{"observed_at":"2026-05-11T11:16:09.359307Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey","version":2},"cited_work":{"arxiv_id":"2211.12701","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2211.12701","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Continual learning of natural language processing tasks: A survey","venue":null,"work_id":"5591b22e-4161-4910-8c7d-6dc8411e36b8","year":2023},"citing_paper":{"arxiv_id":"2605.05776","last_updated":"2026-05-07T07:09:03Z","snapshot_observed_at":"2026-07-06T23:18:22.301347Z","submitted_at":"2026-05-07T07:09:03Z","title":"HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-08T11:25:01.780099Z"},"links":{"cited_paper":"/paper/2211.12701","citing_paper":"/paper/2605.05776"},"observation_digest":"sha256:94b3bb73e95d46abeb8d83bedca527452959a426ec2e0847b417f58c22d18bb2","observation_id":"0a0b0a5d-4367-4b48-b85f-46580094f62b","resolution":{"observed_at":"2026-05-11T19:36:15.094003Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.12701","snapshot_observed_at":"2026-07-11T23:28:26.009765Z","title":"Continual learning of natural language processing tasks: A survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.07719","last_updated":"2026-07-04T12:58:26Z","snapshot_observed_at":"2026-08-05T05:37:05.148729Z","submitted_at":"2026-07-04T12:58:26Z","title":"ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-11T23:28:26.009765Z"},"links":{"cited_paper":"/paper/2211.12701","citing_paper":"/paper/2607.07719"},"observation_digest":"sha256:da5fae355810553300beb737054332f2d094b5b4d1e321e8cf58eb9b0d571a23","observation_id":"d0ae11b3-d40b-42aa-ac24-b9f7bd1b1586","resolution":{"observed_at":"2026-07-11T23:28:26.009765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.12701","snapshot_observed_at":"2026-08-01T22:58:00.035327Z","title":"Continual learning of natural language processing tasks: A survey.arXiv preprint arXiv:2211.12701,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15587","last_updated":"2026-07-17T03:18:17Z","snapshot_observed_at":"2026-08-03T21:14:30.487558Z","submitted_at":"2026-07-17T03:18:17Z","title":"Rethinking Transfer in Continual Learning: A Replay-Based Realisation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T22:58:00.035327Z"},"links":{"cited_paper":"/paper/2211.12701","citing_paper":"/paper/2607.15587"},"observation_digest":"sha256:c08a6ac4214d7944b745363aceeb855e737a24f0e534a9d0b931f1c6bb29b746","observation_id":"6981ef0e-5247-4df8-ab80-966c17863e8e","resolution":{"observed_at":"2026-08-01T22:58:00.035327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2211.12701/citation-record","integrity":"/paper/2211.12701/integrity","json":"/paper/2211.12701/citation-record.json","paper":"/paper/2211.12701"},"outbound":[],"paper":{"arxiv_id":"2211.12701","last_updated":"2023-05-11T09:48:55Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T14:22:00.790764Z","submitted_at":"2022-11-23T04:46:28Z","title":"Continual Learning of Natural Language Processing Tasks: A Survey"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2211.12701."}