{"as_of":"2026-08-08T00:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:54face21aa2c2c5a6aa8d7cba1b2eaa38251ae5cc7bb8ebe31101bfbc25e45ef","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T12:40:57.252268Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2601.02094/citation-record","integrity":"/paper/2601.02094/integrity","json":"/paper/2601.02094/citation-record.json","paper":"/paper/2601.02094"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:40:55.766964Z","title":"In: CCCG (2000)","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:55.766964Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:47273986c4366cad5d7bacedfe2f8e16ace87fe54165b4b12e5f2a5a71a933f8","observation_id":"d29bdf23-5398-4a0d-844f-cc36960e7467","resolution":{"observed_at":"2026-08-03T12:40:55.766964Z","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":"2026-08-03T12:40:55.826293Z","title":"Hans and V.A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:55.826293Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:6f7b1a369f647afadccb21e8347062a9698b68742433b41e13b1aeb17c6b2c09","observation_id":"97d596db-1196-441a-8182-a708b65020d9","resolution":{"observed_at":"2026-08-03T12:40:55.826293Z","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":"2026-08-03T12:40:55.891764Z","title":"In: 1st ICML Workshop on Foundation Models for Structured Data (2025), https: //openreview.net/forum?id=eVGS73kXEu","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:55.891764Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:590cc32802f6dba5ff250c4d9940167782bc801e3f10209241a9cc98d2171b2d","observation_id":"41fa8cb0-3b0e-4243-972d-c39458c6659b","resolution":{"observed_at":"2026-08-03T12:40:55.891764Z","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":"2026-08-03T12:40:55.975368Z","title":null,"venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:55.975368Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:3c27885cd7cd602b52ce46ff285eed713df4f32edf8ead6442563eaf7e37b8b3","observation_id":"741b982b-9f2e-4264-b264-e65e426638dc","resolution":{"observed_at":"2026-08-03T12:40:55.975368Z","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":"2026-08-03T12:40:56.033802Z","title":"In: Forty-first International Conference on Machine Learning (2024), https://openreview.net/forum?id=jn2iTJas6h","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:56.033802Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:7a13293c8f46582e62d59ae4ffeebe40014481fc06e7ab1d6efeda7f9dc56c46","observation_id":"86ca1b42-de66-4f95-8279-a54f3b3dbfe1","resolution":{"observed_at":"2026-08-03T12:40:56.033802Z","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":"2026-08-03T12:40:56.119673Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:56.119673Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:8a01ec6a6c595347d405e40348b8369dc8719fc01705ad2c9c329549b60f0094","observation_id":"5ca92a5c-c514-4a1c-9cfa-96dc95959420","resolution":{"observed_at":"2026-08-03T12:40:56.119673Z","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":"2026-08-03T12:40:56.207088Z","title":"Advances in Neural Infor- mation Processing Systems37, 106315–106345 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:56.207088Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:04aceed9a109bc53da58c1b4f781dff73d77ec1c460890d42075a92dd7cd897c","observation_id":"bd4a262b-ab68-4560-a0cc-361119c9a8a5","resolution":{"observed_at":"2026-08-03T12:40:56.207088Z","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":"2026-08-03T12:40:56.291298Z","title":"In: International conference on learning representations (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:56.291298Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:8c8a126bbf30381eba97d190e8e2b908a1d1a568daca6cbadd85f8511fe5f653","observation_id":"6d258dbf-24ca-4616-9f71-3069c930db47","resolution":{"observed_at":"2026-08-03T12:40:56.291298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.12953","last_updated":"2024-12-17T14:34:51Z","snapshot_observed_at":"2026-07-06T20:08:38.939649Z","submitted_at":"2024-12-17T14:34:51Z","title":"Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.12953","snapshot_observed_at":"2026-08-03T12:40:56.446985Z","title":"arXiv preprint arXiv:2412.12953 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:56.446985Z"},"links":{"cited_paper":"/paper/2412.12953","citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:61faebc4948a415aa69fd7a8c34dbb761d520f45b08415ab696ffe04aef12fef","observation_id":"4f2dddce-b16a-48a5-9f3e-938ab45d7746","resolution":{"observed_at":"2026-08-03T12:40:56.446985Z","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":"2026-08-03T12:40:56.561532Z","title":"In: Proceedings of the IEEE international conference on computer vision","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:56.561532Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:de9904580b671e447193a2b1ec5a3ea0476a41cee15f204bd95406e5cb57fcb1","observation_id":"0a1a8a5a-7f96-4877-bd05-3b54a3ae0cb8","resolution":{"observed_at":"2026-08-03T12:40:56.561532Z","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":"2026-08-03T12:40:56.712213Z","title":"In: The Twelfth International Conference on Learning Representations (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:56.712213Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:905f0640fafb6d407e241799f04cf733fc27617920ac53d376cff26701b2a600","observation_id":"31f9321b-7b85-4fc5-be68-ba1ef78a5e24","resolution":{"observed_at":"2026-08-03T12:40:56.712213Z","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":"2026-08-03T12:40:56.806820Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:56.806820Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:2db4ea77f9dc8f7b9d8a726abc97eb7d2db8496d400171ecb237323bb8418ecc","observation_id":"ca4f6f44-b61a-4635-be08-bbb3f0c414e4","resolution":{"observed_at":"2026-08-03T12:40:56.806820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09489","last_updated":"2023-03-16T17:08:21Z","snapshot_observed_at":"2026-08-07T00:13:25.718771Z","submitted_at":"2023-03-16T17:08:21Z","title":"Effectively Modeling Time Series with Simple Discrete State Spaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09489","snapshot_observed_at":"2026-08-03T12:40:56.856008Z","title":"arXiv preprint arXiv:2303.09489 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:56.856008Z"},"links":{"cited_paper":"/paper/2303.09489","citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:0e1e8f4d3b032abaaa6a46f873fea316eb7a79b9c0164a4b8caa3ef7450a4651","observation_id":"eee75808-ce5f-439f-b781-ee6049cf1ed9","resolution":{"observed_at":"2026-08-03T12:40:56.856008Z","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":"2026-08-03T12:40:57.017531Z","title":"net/forum?id=kQDzqIkXLO","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:57.017531Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:e7c95b3ddd8bc48ffeffa0912d65578a1f4a3fd65c8b664ff434370243951327","observation_id":"1c56e494-55e1-4bcb-b64e-113fd6b83c31","resolution":{"observed_at":"2026-08-03T12:40:57.017531Z","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":"2026-08-03T12:40:57.121049Z","title":"In: Proceed- ings of the AAAI conference on artificial intelligence","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:57.121049Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:8d5eb7e743bc64013048ffdddf19ff1c2872900423074bf572bb3c909521bd92","observation_id":"8e64c37f-7791-431d-bb33-ea44e117d20a","resolution":{"observed_at":"2026-08-03T12:40:57.121049Z","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":"2026-08-03T12:40:57.252268Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T12:40:57.252268Z"},"links":{"citing_paper":"/paper/2601.02094"},"observation_digest":"sha256:65e64447a6e99f804b4fca2a7276e559fbe9eb0e27fec2e35c6b81dc899483fc","observation_id":"b2a669cb-f1de-4e44-b74a-bacb1e7fd766","resolution":{"observed_at":"2026-08-03T12:40:57.252268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.02094","last_updated":"2026-05-28T01:30:48Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T23:32:57.741452Z","submitted_at":"2026-01-05T13:21:30Z","title":"Horizon Activation Mapping for Neural Networks in Time Series Forecasting"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":16},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2601.02094."}