{"as_of":"2026-08-15T16:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:348a0e59e386f14e0140d2ef1b75596b6e879e8db1c8bdad58f07e4b04771f9e","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":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:39:35.406570Z","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":"2026-07-03T16:48:39.882143Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":"2301.12314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-07-03T16:48:39.882143Z","title":"Razdaibiedina, Y","venue":null,"work_id":"df783af7-7b60-4965-a433-de7d535ec5a3","year":2023},"citing_paper":{"arxiv_id":"2307.06435","last_updated":"2024-10-17T01:10:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-12T20:01:52Z","title":"A Comprehensive Overview of Large Language Models","version":10},"reference_index":252,"source":"pdf_text","source_observed_at":"2026-05-19T20:28:38.900026Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2307.06435"},"observation_digest":"sha256:0fd8bc4ca1ccb3b2201bd5213a6ff897d50b91f2945bfbfcc999cf1d9ab6321a","observation_id":"15ede3ee-ea45-4ed3-b24d-233d0f44e8cf","resolution":{"observed_at":"2026-05-19T20:28:39.135337Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-08-12T13:39:35.406570Z","title":"Razdaibiedina, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16073","last_updated":"2026-07-21T04:37:15Z","snapshot_observed_at":"2026-08-15T10:34:26.810572Z","submitted_at":"2024-11-25T03:52:47Z","title":"Soft-TransFormers for Continual Learning","version":4},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-12T13:39:35.406570Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2411.16073"},"observation_digest":"sha256:82d8581fe8d56c6bf16c03e380aafc311de0712d48a2704dc24a2d9629cbf2bb","observation_id":"7c46c60b-0da2-4622-adc3-87db7cffc75b","resolution":{"observed_at":"2026-08-12T13:39:35.406570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-08-10T23:03:25.619471Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00237","last_updated":"2024-12-31T03:02:20Z","snapshot_observed_at":"2026-08-14T08:09:49.705338Z","submitted_at":"2024-12-31T03:02:20Z","title":"Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T23:03:25.619471Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2501.00237"},"observation_digest":"sha256:103f960b700f97ef45806812128fb2cda1aee49549deb97af99a7633e3966193","observation_id":"f3a5fe5a-b94a-4dd1-a376-8ba9fe9b9893","resolution":{"observed_at":"2026-08-10T23:03:25.619471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-08-10T21:16:35.573536Z","title":"Progressive prompts: Continual learning for language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05495","last_updated":"2025-01-09T15:47:30Z","snapshot_observed_at":"2026-08-13T15:08:42.273737Z","submitted_at":"2025-01-09T15:47:30Z","title":"LSEBMCL: A Latent Space Energy-Based Model for Continual Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T21:16:35.573536Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2501.05495"},"observation_digest":"sha256:a5df6e760efdc61e9465e788fdeb4a43e848e2cf44623e57e535cf9f96556bc9","observation_id":"4f140fc0-7889-4af5-b5c0-0c2866a010cb","resolution":{"observed_at":"2026-08-10T21:16:35.573536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-08-10T16:13:49.368351Z","title":"Progressive prompts: Continual learning for language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13453","last_updated":"2025-01-23T08:09:54Z","snapshot_observed_at":"2026-08-15T15:16:52.326376Z","submitted_at":"2025-01-23T08:09:54Z","title":"Spurious Forgetting in Continual Learning of Language Models","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-10T16:13:49.368351Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2501.13453"},"observation_digest":"sha256:4048da14163406cf422d5e549c50d86dceeca5e1fd3578cb75862bb00451fb29","observation_id":"f3ceb6f7-95ec-4076-9255-0990cd13550e","resolution":{"observed_at":"2026-08-10T16:13:49.368351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-08-07T00:40:30.199849Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13045","last_updated":"2025-08-24T10:01:04Z","snapshot_observed_at":"2026-08-12T19:46:34.783452Z","submitted_at":"2025-06-16T02:27:25Z","title":"Continual Learning for Generative AI: From LLMs to MLLMs and Beyond","version":4},"reference_index":175,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:30.199849Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2506.13045"},"observation_digest":"sha256:edb48aa142b9b70ca2d78f625849fbc56c3eaf7e4f6bd455dcc559036ce35d2b","observation_id":"598b8ad8-56be-4c3a-b46c-cd2646929d6b","resolution":{"observed_at":"2026-08-07T00:40:30.199849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":"2301.12314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-07-03T16:48:39.882143Z","title":"Razdaibiedina, Y","venue":null,"work_id":"df783af7-7b60-4965-a433-de7d535ec5a3","year":2023},"citing_paper":{"arxiv_id":"2506.21035","last_updated":"2026-05-29T11:08:12Z","snapshot_observed_at":"2026-08-13T13:40:45.924133Z","submitted_at":"2025-06-26T06:19:05Z","title":"Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts","version":5},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-22T13:06:03.463520Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2506.21035"},"observation_digest":"sha256:b2b139268fdea4570fc0822bf6de3b3fef39744964bb13ddc8a2047334cc658c","observation_id":"0d6f5198-4250-4ad6-aa22-5eb8516e13eb","resolution":{"observed_at":"2026-05-22T13:06:34.621812Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-08-05T21:04:55.950859Z","title":"Progressive prompts: Con- tinual learning for language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.09510","last_updated":"2025-08-13T05:45:58Z","snapshot_observed_at":"2026-08-10T06:04:38.442066Z","submitted_at":"2025-08-13T05:45:58Z","title":"Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T21:04:55.950859Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2508.09510"},"observation_digest":"sha256:a9f0c19274a45c6d793cbccacc0971204017065eeae15b61ab112ba9a5395619","observation_id":"5ff9763c-8a08-4889-babb-d5ffa06dbcd7","resolution":{"observed_at":"2026-08-05T21:04:55.950859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":"2301.12314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-07-03T16:48:39.882143Z","title":"Razdaibiedina, Y","venue":null,"work_id":"df783af7-7b60-4965-a433-de7d535ec5a3","year":2023},"citing_paper":{"arxiv_id":"2601.03938","last_updated":"2026-04-20T08:59:59Z","snapshot_observed_at":"2026-08-13T13:07:06.448281Z","submitted_at":"2026-01-07T13:55:14Z","title":"FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-16T16:29:58.866059Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2601.03938"},"observation_digest":"sha256:8253af139560ef55fd8acad84f692908a2af20d59eb3679e710edcbd7b7852ab","observation_id":"7cb130a8-b75e-4ce0-a825-5e3a62d0f02d","resolution":{"observed_at":"2026-05-16T16:31:05.722889Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":"2301.12314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-07-03T16:48:39.882143Z","title":"Razdaibiedina, Y","venue":null,"work_id":"df783af7-7b60-4965-a433-de7d535ec5a3","year":2023},"citing_paper":{"arxiv_id":"2605.08949","last_updated":"2026-05-14T22:50:46Z","snapshot_observed_at":"2026-08-13T01:04:16.778241Z","submitted_at":"2026-05-09T13:42:08Z","title":"Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-12T02:12:25.713592Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2605.08949"},"observation_digest":"sha256:fed052bf426c22fb5faf882c3b597d1c54ed7a649f0d42781a78619f49ccd114","observation_id":"3610818e-0ed3-4ae5-bf9e-d9f6e1ac4428","resolution":{"observed_at":"2026-05-12T02:16:16.368256Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":"2301.12314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-07-03T16:48:39.882143Z","title":"Razdaibiedina, Y","venue":null,"work_id":"df783af7-7b60-4965-a433-de7d535ec5a3","year":2023},"citing_paper":{"arxiv_id":"2605.08949","last_updated":"2026-05-14T22:50:46Z","snapshot_observed_at":"2026-08-13T01:04:16.778241Z","submitted_at":"2026-05-09T13:42:08Z","title":"Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-19T15:11:43.827012Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2605.08949"},"observation_digest":"sha256:6d4928248a45e970b5718fe987eb9ed8e7892ab07bb27bf4b017750b3d9b85ef","observation_id":"092c2c10-a780-4429-a55d-18fbeb1d56fc","resolution":{"observed_at":"2026-05-19T15:12:37.492067Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":"2301.12314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-07-03T16:48:39.882143Z","title":"Razdaibiedina, Y","venue":null,"work_id":"df783af7-7b60-4965-a433-de7d535ec5a3","year":2023},"citing_paper":{"arxiv_id":"2606.07500","last_updated":"2026-06-05T17:53:52Z","snapshot_observed_at":"2026-07-06T23:47:10.030985Z","submitted_at":"2026-06-05T17:53:52Z","title":"Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-27T22:15:36.264240Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2606.07500"},"observation_digest":"sha256:4e7254f3381cf72a0504e5feacca41aed8ae15792b6301907c051984068ec842","observation_id":"94914e13-73ab-4418-b91c-3520aee5446d","resolution":{"observed_at":"2026-07-02T16:57:10.216772Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":"2301.12314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-07-03T16:48:39.882143Z","title":"Razdaibiedina, Y","venue":null,"work_id":"df783af7-7b60-4965-a433-de7d535ec5a3","year":2023},"citing_paper":{"arxiv_id":"2606.24901","last_updated":"2026-06-12T13:44:48Z","snapshot_observed_at":"2026-08-03T03:21:51.293576Z","submitted_at":"2026-06-12T13:44:48Z","title":"LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-06-27T05:02:18.347642Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2606.24901"},"observation_digest":"sha256:a3ceab565b82d92912aa62416ca16dedd3ad031d94736dd11be75ba8b2d71440","observation_id":"04b77739-0f6c-43bc-9459-3fdf1ea0c733","resolution":{"observed_at":"2026-07-03T16:48:39.883472Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-08-02T09:51:03.597851Z","title":"arXiv:2301.12314 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16252","last_updated":"2026-06-27T03:25:36Z","snapshot_observed_at":"2026-08-15T11:53:27.818705Z","submitted_at":"2026-06-27T03:25:36Z","title":"SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling","version":1},"reference_index":138,"source":"arxiv_source","source_observed_at":"2026-08-02T09:51:03.597851Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2607.16252"},"observation_digest":"sha256:2a05724e266c7a74f643fc734caa67263e115834d759c14dde1c16b5a2bb8cf8","observation_id":"d859b50c-3fb9-49c5-b911-d4a88b289697","resolution":{"observed_at":"2026-08-02T09:51:03.597851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12314","snapshot_observed_at":"2026-07-30T10:55:15.352717Z","title":"arXiv preprint arXiv:2301.12314 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23837","last_updated":"2026-07-26T20:42:56Z","snapshot_observed_at":"2026-08-14T03:08:32.358952Z","submitted_at":"2026-07-26T20:42:56Z","title":"Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-30T10:55:15.352717Z"},"links":{"cited_paper":"/paper/2301.12314","citing_paper":"/paper/2607.23837"},"observation_digest":"sha256:609de294489129af36c382a26fbfce9ae118292a546c5cfe4f8ff93a2cb1f294","observation_id":"70b810b7-290a-4d82-8edc-9846cdb0d12c","resolution":{"observed_at":"2026-07-30T10:55:15.352717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2301.12314/citation-record","integrity":"/paper/2301.12314/integrity","json":"/paper/2301.12314/citation-record.json","paper":"/paper/2301.12314"},"outbound":[],"paper":{"arxiv_id":"2301.12314","last_updated":"2023-01-29T00:17:38Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T23:05:05.924915Z","submitted_at":"2023-01-29T00:17:38Z","title":"Progressive Prompts: Continual Learning for 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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2301.12314."}