{"as_of":"2026-08-09T03:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f2d69b91811e9568055b380512595694d611ef0a0803d548f999ee3e11a9e195","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T13:23:10.074829Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T15:40:46.345163Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"cited_work":{"arxiv_id":"2510.00809","doi":"10.48550/arxiv.2510.00809","metadata_source":"arxiv_reference","pith_arxiv_id":"2510.00809","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Are Time Series Foundation Models Susceptible to Catastrophic Forgetting? arXiv preprint 2025; arXiv:2510.00809.https://doi.org/10.48550/arXiv.2510.00809","venue":"ArXiv.org","work_id":"7f05093c-7c9a-4909-b8a5-0fad188a8e80","year":2025},"citing_paper":{"arxiv_id":"2604.22328","last_updated":"2026-07-17T22:36:22Z","snapshot_observed_at":"2026-08-02T15:40:43.351054Z","submitted_at":"2026-04-24T08:00:50Z","title":"FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-08T12:16:57.003642Z"},"links":{"cited_paper":"/paper/2510.00809","citing_paper":"/paper/2604.22328"},"observation_digest":"sha256:8827043b74c6a2b4730a20707bba15fd5fb65d8046f54ed98f59d6cd59d075b7","observation_id":"e04cb43c-b8bf-464e-8db0-b6663c7a9660","resolution":{"observed_at":"2026-06-29T02:14:22.118744Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.00809","snapshot_observed_at":"2026-08-02T15:40:46.345163Z","title":"Are Time Series Foundation Models Susceptible to Catastrophic Forgetting? arXiv preprint 2025; arXiv:2510.00809.https://doi.org/10.48550/arXiv.2510.00809","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.22328","last_updated":"2026-07-17T22:36:22Z","snapshot_observed_at":"2026-08-02T15:40:43.351054Z","submitted_at":"2026-04-24T08:00:50Z","title":"FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-02T15:40:46.345163Z"},"links":{"cited_paper":"/paper/2510.00809","citing_paper":"/paper/2604.22328"},"observation_digest":"sha256:91e9abff45516b985e26e4c5efc1e867870711f2d6c97a3e566e1da62ef56cf9","observation_id":"b4f915af-0049-4c4c-9acc-1fb465520282","resolution":{"observed_at":"2026-08-02T15:40:46.345163Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2510.00809/citation-record","integrity":"/paper/2510.00809/integrity","json":"/paper/2510.00809/citation-record.json","paper":"/paper/2510.00809"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:07.693386Z","title":"Language models are unsupervised multitask learners.OpenAI Blog, 1(8):9, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:07.693386Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:ffa32ce15dfd175925f411bcac88c8d56133e7ba5e06f30d520c51abf0e62921","observation_id":"bbe2f3fb-cbd3-4000-9ddf-6785fb67971f","resolution":{"observed_at":"2026-08-04T13:23:07.693386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:07.857794Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:07.857794Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:2ac75789f5e3aa2802b3a8878048a19f568d2f7cd72feee391fda7f4ab84c808","observation_id":"6c228c21-5fa6-4427-ba3d-42ef8adffaba","resolution":{"observed_at":"2026-08-04T13:23:07.857794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:07.920953Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:07.920953Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:017fe6e1a13c6accc8a3f8ab4b5b8cb95ca9e4594c00322f17be744c8a25222d","observation_id":"15d9661d-a337-4fdc-a5b7-02e1e682ca31","resolution":{"observed_at":"2026-08-04T13:23:07.920953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.01917","last_updated":"2022-06-14T00:48:04Z","snapshot_observed_at":"2026-07-06T13:06:27.153765Z","submitted_at":"2022-05-04T07:01:14Z","title":"CoCa: Contrastive Captioners are Image-Text Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.01917","snapshot_observed_at":"2026-08-04T13:23:07.991358Z","title":"Coca: Contrastive captioners are image-text foundation models.arXiv preprint arXiv:2205.01917, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:07.991358Z"},"links":{"cited_paper":"/paper/2205.01917","citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:64235e0f29618cea371c31d9db8e6dbf6b884b9d1756eed7a71da911e305d0d4","observation_id":"467e084e-0e63-4f34-9988-c16dfd54c0c4","resolution":{"observed_at":"2026-08-04T13:23:07.991358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:08.068082Z","title":"Foundation models: A new paradigm for artificial intelligence.Business & Information Systems Engineering, 66(2):221–231, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:08.068082Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:9768f1409dc8d1d553bdc8c6109f2fe1da9bf05ff4b8b912f7e9d830da597a08","observation_id":"eee48fef-49e3-4568-988c-a1b36bd1410d","resolution":{"observed_at":"2026-08-04T13:23:08.068082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:08.178465Z","title":"Effect of model and pretraining scale on catastrophic forgetting in neural networks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:08.178465Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:6074590963926dd8dcd66cd576084048c2ffabab00ae01470fa1f7c193ab1d34","observation_id":"4a68239a-8509-4f66-a8ad-270a8f5e35fc","resolution":{"observed_at":"2026-08-04T13:23:08.178465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08747","snapshot_observed_at":"2026-08-04T13:23:08.291489Z","title":"An empirical study of catastrophic forgetting in large language models during continual fine-tuning.arXiv preprint arXiv:2308.08747v5, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:08.291489Z"},"links":{"cited_paper":"/paper/2308.08747","citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:7a48162f9bd5f3977b453ee058b7f71b4cd69bd895fd7fee2bf9d78fca2d6efc","observation_id":"42806fc2-285b-4d12-9c78-ea6eab8a6046","resolution":{"observed_at":"2026-08-04T13:23:08.291489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01241","last_updated":"2025-04-01T23:06:55Z","snapshot_observed_at":"2026-08-07T16:16:13.020614Z","submitted_at":"2025-04-01T23:06:55Z","title":"Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.01241","snapshot_observed_at":"2026-08-04T13:23:08.408667Z","title":"Catastrophic forgetting in llms: A comparative analysis across language tasks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:08.408667Z"},"links":{"cited_paper":"/paper/2504.01241","citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:7cb38ed90627f1f6c01b4c702b2cf9e6dbf594337aa399ce15215e3c352a7c4a","observation_id":"65f580da-ea13-4c1c-b467-67c3fd8a5494","resolution":{"observed_at":"2026-08-04T13:23:08.408667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:08.489561Z","title":"A decoder-only foundation model for time-series forecasting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:08.489561Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:ba835308fecdcc2d4e92efb276606f35885128d732b0a63b95b5c080fd1b406b","observation_id":"3b773a3f-8a38-45a8-9353-93a35702f1e0","resolution":{"observed_at":"2026-08-04T13:23:08.489561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:08.591059Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:08.591059Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:a47cfe563d339416b45f00583abf7da194dec38cbde593a047ea13250be85d22","observation_id":"bd76e878-42e6-43d7-b768-911abd056197","resolution":{"observed_at":"2026-08-04T13:23:08.591059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:08.683646Z","title":"Large language models are zero-shot time series forecasters","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:08.683646Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:01647dec92e9376ffbf6b8021575d0d97f29bcaebcb51d074a666b608f883497","observation_id":"cab70a6c-a31f-433f-af7a-4ea163687293","resolution":{"observed_at":"2026-08-04T13:23:08.683646Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13504","last_updated":"2022-08-17T17:09:38Z","snapshot_observed_at":"2026-08-06T21:54:51.018912Z","submitted_at":"2022-05-26T17:17:08Z","title":"Are Transformers Effective for Time Series Forecasting?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.13504","snapshot_observed_at":"2026-08-04T13:23:08.856089Z","title":"Are transformers effective for time series forecasting?arXiv preprint, arXiv:2205.13504, August 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:08.856089Z"},"links":{"cited_paper":"/paper/2205.13504","citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:bf702e842103552439596982076412aa865bfa1d9f94c69ce8d66c8ceb5e7f43","observation_id":"ca2e8b85-23f2-4946-af09-821ae791428e","resolution":{"observed_at":"2026-08-04T13:23:08.856089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:08.971594Z","title":"Informer: Beyond efficient transformer for long sequence time-series forecasting","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:08.971594Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:e7f5d25619b61bd9b782135c772ef642e678c4b7ed460da00668db934b51aeec","observation_id":"9e12d2ba-7a71-47fd-b471-d1cf1e23fb40","resolution":{"observed_at":"2026-08-04T13:23:08.971594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:09.068099Z","title":"The stability-plasticity dilemma: in- vestigating the continuum from catastrophic forgetting to age-limited learning effects.Frontiers in Psychology, 4:504, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:09.068099Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:ef16b231fe58306674c58f30451591778925c03575f8e29aa499120409317192","observation_id":"ae700d7c-05ce-4e0e-b819-65f0b7ad7e07","resolution":{"observed_at":"2026-08-04T13:23:09.068099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:09.174913Z","title":"Foundation models for time series analysis: A tutorial and survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:09.174913Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:702677bf6718aff65d55913c8c026908d894c63726541abd42a850ed604d4e30","observation_id":"65126e86-9f28-4e2b-a26e-07b8c213ae71","resolution":{"observed_at":"2026-08-04T13:23:09.174913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.13912","last_updated":"2024-01-25T03:14:07Z","snapshot_observed_at":"2026-08-06T07:42:42.674845Z","submitted_at":"2024-01-25T03:14:07Z","title":"A Survey of Deep Learning and Foundation Models for Time Series Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.13912","snapshot_observed_at":"2026-08-04T13:23:09.226605Z","title":"Miller, Mohammed Aldosari, Farah Saeed, et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:09.226605Z"},"links":{"cited_paper":"/paper/2401.13912","citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:34fba043f6d2a2fa23b8d56af3124fe753a72bd9b9c4b08563d4d62d6d1aed25","observation_id":"86641115-cf77-438b-90dc-1c9934cbcf59","resolution":{"observed_at":"2026-08-04T13:23:09.226605Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03589","last_updated":"2024-05-27T23:34:15Z","snapshot_observed_at":"2026-08-06T07:14:20.138952Z","submitted_at":"2023-10-05T15:14:00Z","title":"TimeGPT-1","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03589","snapshot_observed_at":"2026-08-04T13:23:09.322846Z","title":"Timegpt-1.arXiv preprint arXiv:2310.03589, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:09.322846Z"},"links":{"cited_paper":"/paper/2310.03589","citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:7c81b1384b1b447b605dc3f2e47ba41d14160cd2d68cca798ec2b69c91db0eb1","observation_id":"14ac2c0e-190a-4f0f-a57d-df64a42472f3","resolution":{"observed_at":"2026-08-04T13:23:09.322846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:09.448215Z","title":"A time series is worth 64 words: Long-term forecasting with transformers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:09.448215Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:ec69f2c45dddae68638c744a7f76d07afec94fb11a7de5b41d971d29d4bb5cc5","observation_id":"571db03e-b7cf-4819-ad02-4b8f49552908","resolution":{"observed_at":"2026-08-04T13:23:09.448215Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:09.548083Z","title":"FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:09.548083Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:35e97c42f402c5bcff1ea4edecf3dff96a4866a61c121de57f75f98c64032033","observation_id":"a5854c46-4fd0-49b2-afa7-d3dad78273ab","resolution":{"observed_at":"2026-08-04T13:23:09.548083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:09.660538Z","title":"GIFT-Eval: A Benchmark for General Time Series Forecasting Model Evaluation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:09.660538Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:950c88335d8b93fafa6978e8fd98df30b75cf46f7c4122573fec540d6061ac76","observation_id":"2869438a-4bf0-474f-a6e1-f75fc2c83af3","resolution":{"observed_at":"2026-08-04T13:23:09.660538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:09.802631Z","title":"OpenTS – A Comprehensive and Fair Benchmark for Time Series An- alytics","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:09.802631Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:9629d0281c5d32464bff90219e3378467d9c2223e94322fa06c46d341b7125e3","observation_id":"a28cd21c-849a-4421-8acd-aeac76627858","resolution":{"observed_at":"2026-08-04T13:23:09.802631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:09.959613Z","title":"Foundation time series arena – benchmarking foundation models for time series","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:09.959613Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:cb58ea7bc247a4ae06afc2e8fdcc48ec19f56afeda82437d5cab9581463ca255","observation_id":"a75aa5e0-eb39-4a3d-a271-423d903239df","resolution":{"observed_at":"2026-08-04T13:23:09.959613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T13:23:10.074829Z","title":"Beyond not-forgetting: Continual learning with backward knowledge transfer","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T13:23:10.074829Z"},"links":{"citing_paper":"/paper/2510.00809"},"observation_digest":"sha256:0ed9a63dd32fda56bb1ad35ce173cec0f4e5493ee2c7f4db68338002080cf8b7","observation_id":"b7f82544-23f0-49d2-9820-eef66a99ae5b","resolution":{"observed_at":"2026-08-04T13:23:10.074829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2510.00809","last_updated":"2026-06-26T09:49:32Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T13:23:07.390196Z","submitted_at":"2025-10-01T12:14:34Z","title":"Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":23},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2510.00809."}