{"as_of":"2026-08-07T11:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8f06dc6a31688f77f579e7c221be0a61f702d4f4769bd0e1ed0a328f2a4ef3f0","coverage":[{"denominator":58,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":58,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T15:03:10.890699Z","state":"measured"},{"denominator":58,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":58,"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/2508.20656/citation-record","integrity":"/paper/2508.20656/integrity","json":"/paper/2508.20656/citation-record.json","paper":"/paper/2508.20656"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:20.443049Z","title":"u rek, Afra Feyza Aky \\","venue":null,"work_id":"e9343fb7-f92a-46ee-b900-02bb4887c8e7","year":2021},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:02.233941Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:460d397ceeacfe145a779423215e2c383e2cdf54b866af3d334fb4c48da04e21","observation_id":"8670c24e-2b03-4a5d-b414-db962f254e91","resolution":{"observed_at":"2026-08-05T15:03:20.446895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.acl-main.676","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:13.821574Z","title":"Good-enough compositional data augmentation","venue":null,"work_id":"186b2d99-a879-486e-8329-54b1a52e19a9","year":2020},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:02.378688Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:3cc591fc9efcaf5b94afd043c40fae70a0c308fe3d8c4a27d75077a694f25b9e","observation_id":"43c42947-2da4-4490-95e3-e48a01d5b943","resolution":{"observed_at":"2026-08-05T15:03:13.954765Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:02.564490Z","title":"Bolker, and Steven C","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:02.564490Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:360d8e82387e531cf8ebdfe0964e211bf05cc531fd29b468fca295e2bfaa4d23","observation_id":"b816b543-dc9f-4e0c-a6b2-14b99530cf5b","resolution":{"observed_at":"2026-08-05T15:03:02.564490Z","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":"10.1007/s10472-013-9371-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:13.540873Z","title":"Domain adaptation - can quantity compensate for quality? Annals of Mathematics and Artificial Intelligence, 70: 0 185--202, 2014","venue":null,"work_id":"7f892f10-9c42-40af-a9d1-30d06fb14e3f","year":2014},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:02.746871Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:98ac75f37a67ab1b191ca23f11c3d5dccb8b5e2d02c1c32f701f4975f98c80a4","observation_id":"351d252f-c6e6-4631-acc7-a107a8c40606","resolution":{"observed_at":"2026-08-05T15:03:13.672452Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:20.394824Z","title":"Analysis of representations for domain adaptation","venue":null,"work_id":"4f7e5d1c-6e51-4f4f-bb0a-6f1be9c20097","year":2006},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:02.963893Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:815c859075ea5be5e3d8f13f8807ef74dcb91ca25da36fcd169b09521d7fac2b","observation_id":"6e8ac668-92c0-49e6-92fa-6bad16fa563a","resolution":{"observed_at":"2026-08-05T15:03:20.420002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:03.126306Z","title":"A theory of learning from different domains","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:03.126306Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:4e59f15d3513a0dfd4cbc0139edd15ce29c1dc1c96834127ca4d15319c2e5955","observation_id":"6bdb5d8d-6fec-4b7d-bdfe-0a56464f1508","resolution":{"observed_at":"2026-08-05T15:03:03.126306Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:20.282046Z","title":"Impossibility theorems for domain adaptation","venue":null,"work_id":"5a7ebf09-33e6-4567-9a64-9fffb628836e","year":2010},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:03.281366Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:cbc1a0eba034bb6f5ec896b32df25455449b4a1c571ca1a4848945e285960d74","observation_id":"fb65c002-73f6-41b1-abaf-d1f26357b5e2","resolution":{"observed_at":"2026-08-05T15:03:20.324748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:03.398189Z","title":"Representation learning: A review and new perspectives","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:03.398189Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:fbe63be30f7784a71aa30fc714dc497aaf434d1db7a1e88a3d50f12ab1106b7c","observation_id":"f172cabb-7d4c-41a5-8f18-3c0778aeceaa","resolution":{"observed_at":"2026-08-05T15:03:03.398189Z","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":"2026-08-05T15:03:03.578468Z","title":"A survey of mix-based data augmentation: Taxonomy, methods, applications, and explainability","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:03.578468Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:7ff5312161a5a3b21d12772a207b21181d5ddf6eff9fad5558d3dadcb0a2935e","observation_id":"28893909-b43a-475c-abe0-2c0ea3c00bd4","resolution":{"observed_at":"2026-08-05T15:03:03.578468Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:20.176506Z","title":"Syntactic Structures","venue":null,"work_id":"47b666c6-26ea-41a4-8fed-c9f36574cdfe","year":1957},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:03.717782Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:9724920e424f209d3c3641d81e4cfeeb9df8799ec6780cfefbd19fcc59f144ec","observation_id":"755c80a1-32c5-4d21-ac6f-bba6d65536dc","resolution":{"observed_at":"2026-08-05T15:03:20.194803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:03.843147Z","title":"On certain formal properties of grammars","venue":null,"work_id":null,"year":1959},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:03.843147Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:314f824788fa90014e43ca7c8f0620ceed4f138715e79a412c3d2f6cf45c727d","observation_id":"65a3b722-8652-4dad-8d20-d9383ef46e50","resolution":{"observed_at":"2026-08-05T15:03:03.843147Z","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":"10.1002/0471728438","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:13.195287Z","title":"Mixed Models: Theory and Applications with R","venue":null,"work_id":"e06dc869-5e08-4fa0-9a49-7d73d80a0600","year":2013},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:04.004748Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:cca635b088a75c34b1c96737938f1ea323d9c57a5386b3afb9961f0bc51d2775","observation_id":"4ef611e9-d516-46bb-99c1-bb1aab90f97b","resolution":{"observed_at":"2026-08-05T15:03:13.294755Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02633","last_updated":"2017-12-04T04:31:38Z","snapshot_observed_at":"2026-07-06T05:46:05.328110Z","submitted_at":"2017-06-08T15:19:02Z","title":"Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02633","snapshot_observed_at":"2026-08-05T15:03:04.069836Z","title":"Hyland, and Gunnar Rätsch","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:04.069836Z"},"links":{"cited_paper":"/paper/1706.02633","citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:1031ce41ad951fb31a7e5f87e9d556eae894b0464344a146a9fadb2f7bbecc1a","observation_id":"9a075d36-4905-402c-8f5b-2a782304bc09","resolution":{"observed_at":"2026-08-05T15:03:04.069836Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:20.025924Z","title":null,"venue":null,"work_id":"8f14deaf-baef-4d4a-bca5-2c606a264a1a","year":1930},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:04.184964Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:c5dddb1c7f35ffd50c0cd113dfd3c9525cb77690c5d0702fe3170560c6cef2a3","observation_id":"8c9271aa-5b63-4dab-b885-41ceac60e832","resolution":{"observed_at":"2026-08-05T15:03:20.065734Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.10440","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:15.284741Z","title":"Reddy, and Vignesh Subbian","venue":null,"work_id":"890bbd9c-a8ac-4ce3-bb22-5f8eefc4f88e","year":2023},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:04.308296Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:0b62cf3733a1251ac722a9dc26823e9ae07480b5cadd915b9dac85f04c3b90fe","observation_id":"1c8aa9ce-2ae8-482b-bc10-c1641b92f2c5","resolution":{"observed_at":"2026-08-05T15:03:15.464742Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.09970","last_updated":"2023-09-18T17:51:47Z","snapshot_observed_at":"2026-08-05T10:39:37.307817Z","submitted_at":"2023-09-18T17:51:47Z","title":"Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data","version":1},"cited_work":{"arxiv_id":"2309.09970","doi":"10.48550/arxiv.2309.09970","metadata_source":"pith","pith_arxiv_id":"2309.09970","snapshot_observed_at":"2026-08-05T18:16:11.560912Z","title":"Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data","venue":"cs.LG","work_id":"a03adcc9-eb74-47cf-9723-24aadfad58c1","year":2023},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:04.489698Z"},"links":{"cited_paper":"/paper/2309.09970","citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:2a0e8ba68f0cc5b9d8adcef1300d57bbe84c65244a929d3dbec7e3b1fd914fc0","observation_id":"cc24ec7e-1853-4f94-afe7-879859f179a0","resolution":{"observed_at":"2026-08-05T15:03:13.046577Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:04.601275Z","title":null,"venue":null,"work_id":null,"year":1954},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:04.601275Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:5ff0bd48ac6d1e2365df1f0f86cc7c2c883324a04cbb85c627b5830cd8380c74","observation_id":"772a2f5b-5569-4fd0-862c-8951eea0b7d6","resolution":{"observed_at":"2026-08-05T15:03:04.601275Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:19.944921Z","title":"Higgins, Lo \\\"i c Matthey, A","venue":null,"work_id":"7b3a90e4-8a47-4aee-849b-af335bfb35ca","year":2017},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:04.714740Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:c24951918851ca0ec25601e3570c3e1561c3e59bde2a176c4aa740c1d435acbd","observation_id":"3656fab7-996c-4612-9134-5a5df097aa2a","resolution":{"observed_at":"2026-08-05T15:03:19.981767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:19.801317Z","title":"Set functions for time series","venue":null,"work_id":"9dd85e3e-8263-4c2f-a556-4aea53d68247","year":2020},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:04.830519Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:936a5cdab0f85e96e82f8eae3f955ca29dec1f638d059824ae0135aaf58b716a","observation_id":"07e75379-06f1-4440-8534-84fef4fba3af","resolution":{"observed_at":"2026-08-05T15:03:19.822118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1609/aaai.v38i16.29788","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:12.583866Z","title":"Towards equipping transformer with the ability of systematic compositionality","venue":null,"work_id":"a3c83a54-d23b-485a-950e-6ae92f2b19cc","year":2024},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:05.154738Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:939641b6c5d2b5164650fd6f03ed97a1a77d3a618f025d3d1a9ea8c3e8079b37","observation_id":"afa2de31-8dca-4860-976d-c03d36023de9","resolution":{"observed_at":"2026-08-05T15:03:12.744743Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:19.644742Z","title":null,"venue":null,"work_id":"a6f8832d-2dff-4f72-ad17-9bc9828263e1","year":2012},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:05.414740Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:7753fc510703655540d868af7126c81b8a2c587e3f95da9fcf4c05ffe62535dc","observation_id":"1f1ec4fa-c710-4d1a-bd23-ed36536c1fd1","resolution":{"observed_at":"2026-08-05T15:03:19.745077Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:05.584866Z","title":"Johnson, Tom J","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:05.584866Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:14eb6a0e68ceb3384c66c0c7725e3f7f889003d995e83f5bda367d28156999b1","observation_id":"c6511654-4946-4e25-8fc1-b6dd80d943a7","resolution":{"observed_at":"2026-08-05T15:03:05.584866Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:19.434280Z","title":"Measuring compositional generalization: A comprehensive method on realistic data","venue":null,"work_id":"61635608-5b8a-446d-a2f2-529d0cc715f4","year":2020},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:05.857680Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:5bf96e5f40b89461cd8e1ed3a7b0ae65229c99d29089f66fb17e10e70d60b0be","observation_id":"99941f1d-b62b-48b7-beb8-b6d8a6093675","resolution":{"observed_at":"2026-08-05T15:03:19.460229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:06.025249Z","title":"COGS : A compositional generalization challenge based on semantic interpretation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:06.025249Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:1088a1cde83000b6252b6f5c4c57159fbca815f6109141add8ac5427aa128090","observation_id":"61edf6f8-285a-40ab-844b-03c9db7bdd58","resolution":{"observed_at":"2026-08-05T15:03:06.025249Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:19.271871Z","title":"Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks","venue":null,"work_id":"a74cd03f-da51-47b7-badc-49882e3eb82c","year":2018},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:06.183786Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:95ff8528eaf421f6ac72a6c74dffee54dc0be671fee3bbdf7568af5b44914e96","observation_id":"e4fdd530-9b42-4f21-9343-bcb89b1824e1","resolution":{"observed_at":"2026-08-05T15:03:19.325790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:06.344748Z","title":"Lake, Tomer D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:06.344748Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:e6276b89be665f657823669782151a76cee1af5717bbdd375885fb4135e67d7a","observation_id":"77380603-01bf-4310-875c-0ccd7ef5cf09","resolution":{"observed_at":"2026-08-05T15:03:06.344748Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:19.124756Z","title":"An Introduction to Symbolic Dynamics and Coding","venue":null,"work_id":"6b76c987-de0b-4d57-8a3a-d27cd95c4f20","year":1995},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:06.448305Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:446b24e5d74542bb89748c15a7d17b043dc013c5886b7e52f3ff122f845787af","observation_id":"49d34c9c-8367-4d49-9055-fa4cc4c2c4a7","resolution":{"observed_at":"2026-08-05T15:03:19.198429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:06.531569Z","title":null,"venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:06.531569Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:3a579587707faf80b4cee66116fead4932598c54c5254b8f825216379107e540","observation_id":"e9a93462-09f6-490a-be77-40b129654e5f","resolution":{"observed_at":"2026-08-05T15:03:06.531569Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:18.944274Z","title":"Challenging common assumptions in the unsupervised learning of disentangled representations","venue":null,"work_id":"4973b222-c14e-4344-be1b-f1019b47bd2b","year":2019},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:06.604737Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:becdbae0edcd4a006435b3ebce8a09ff13b20a151d4a9976781698c0ad19923a","observation_id":"8e02ede0-58a7-4ffc-baf4-0660b9f8a055","resolution":{"observed_at":"2026-08-05T15:03:19.007942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:18.807291Z","title":"Learning representations for time series clustering","venue":null,"work_id":"96070502-ee38-4e05-b37b-0819b8f51ebe","year":2019},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:06.694753Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:5a466de44b8646cecea753973cfa0272d3d8e9f4b34f08f210059d1b2cfe95cf","observation_id":"58a79a87-cb68-4a29-b663-557943228fcb","resolution":{"observed_at":"2026-08-05T15:03:18.874818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:18.662093Z","title":"Universal grammar","venue":null,"work_id":"80cb1222-dd46-4cec-8b18-7b8a79c98d1f","year":1970},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:06.824836Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:721626d8b360e4c8eed42c3ba094a9de45eda49c72a884cd9146030a8d4f5896","observation_id":"554f4621-5be7-4085-b134-6515fba084b0","resolution":{"observed_at":"2026-08-05T15:03:18.730171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:18.474752Z","title":"Lost in latent space: Examining failures of disentangled models at combinatorial generalisation","venue":null,"work_id":"777f5525-e072-4b5c-a086-da7071061f19","year":2022},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:07.044750Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:e4a71a3015056856dfbe6a6af1763739d6b0f3d52329a664c8da40c182b8614f","observation_id":"0056ad4b-2e11-468f-9084-d90b5a4ae516","resolution":{"observed_at":"2026-08-05T15:03:18.564832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:18.218338Z","title":"The role of disentanglement in generalisation","venue":null,"work_id":"10ea64f0-df3a-4131-bd43-dabf6fe8cc36","year":2021},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:07.181172Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:32c113e66fad8e14737acae35fcd15bc2bcf960f09669b06db4de069c74a7ef8","observation_id":"65ffe5b9-28c7-404a-b001-f19161cc8e46","resolution":{"observed_at":"2026-08-05T15:03:18.331919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:18.014753Z","title":null,"venue":null,"work_id":"1479dd50-3203-4bdb-b0bc-662f83dcc09c","year":1984},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:07.361119Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:351bde79a38cca774b3be280361fe674092bc0e5f6203e0007f906040b1de0c2","observation_id":"dd4a7c8a-b001-4630-a406-ec616349fc8c","resolution":{"observed_at":"2026-08-05T15:03:18.142612Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:17.780254Z","title":"Revisiting the compositional generalization abilities of neural sequence models","venue":null,"work_id":"5787517f-294c-467f-8cfe-78e7d0d1047d","year":2022},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:07.624749Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:a3ea4fa1bc165d660c588ed70f54f610adfdbb1b7d446b7d1d92412a1406af89","observation_id":"80fd6110-fcbf-4ac7-8553-d2cece73d4fd","resolution":{"observed_at":"2026-08-05T15:03:17.895685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.11839","last_updated":"2020-02-26T23:26:36Z","snapshot_observed_at":"2026-07-06T09:00:26.490403Z","submitted_at":"2020-02-26T23:26:36Z","title":"Two-neutron knockout as a probe of the composition of states in $^{22}$Mg, $^{23}$Al, and $^{24}$Si","version":1},"cited_work":{"arxiv_id":"2002.11839","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.11839","snapshot_observed_at":"2026-08-05T15:03:14.694447Z","title":"Two-neutron knockout as a probe of the composition of states in $^{22}$Mg, $^{23}$Al, and $^{24}$Si","venue":"nucl-ex","work_id":"2b77fa6c-408d-4987-a439-af952c45b4cc","year":2020},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:07.742292Z"},"links":{"cited_paper":"/paper/2002.11839","citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:d611e45148ce570adc0cab80f38c1ab2a360d60408cee30cb576f6bff239a451","observation_id":"cb350c94-0696-4729-a539-b270594c793f","resolution":{"observed_at":"2026-08-05T15:03:14.776451Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:17.585872Z","title":"Scikit-learn: Machine learning in python","venue":null,"work_id":"a546209b-24ac-4772-a6b7-7af9195693e3","year":2011},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:07.874563Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:0a0ba59b4af8ce045de18a364c2dfd5da231d2ae8de10667f7fea82581880842","observation_id":"7263d8c4-a716-4696-82e6-2f93bb366cc2","resolution":{"observed_at":"2026-08-05T15:03:17.714970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:07.950747Z","title":"Towards Generating Real-World Time Series Data","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:07.950747Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:a5d34105b1ddd8839e5cb4b3cd9727f7af925f6837aa7fe675997679ae7d42aa","observation_id":"1be6a5fa-b506-432d-96dc-4bdfe0111508","resolution":{"observed_at":"2026-08-05T15:03:07.950747Z","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":"2026-08-05T15:03:08.074148Z","title":"Pollard, Alistair E","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:08.074148Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:0c60d44e5f1ce5994754764eb8daf2634cabcc9df37c091519539491b276368a","observation_id":"be10c2b7-134d-4401-b3cf-8c537bce6995","resolution":{"observed_at":"2026-08-05T15:03:08.074148Z","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":"10.18653/v1/2022.naacl-main.323","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:12.232572Z","title":"Improving compositional generalization with latent structure and data augmentation","venue":null,"work_id":"2dad0eca-5c63-47c9-bf53-119757a94364","year":2022},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:08.220150Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:634392eccd4ac61e839674767dc0f664ddef17356998662f5a5d94e79cc4ea0c","observation_id":"4f031be3-0635-437c-be7c-b592588633e5","resolution":{"observed_at":"2026-08-05T15:03:12.319882Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-57065-0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:11.934837Z","title":"Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science","venue":null,"work_id":"99c5c84a-be57-4e3d-8e0d-13e0170eb669","year":2024},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:08.414745Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:e46737f137d1fdc7d6c88392fa2683914d7ba1bdb50381349af60647d8f3a17f","observation_id":"605fb487-0cf5-41dd-9490-c3c0dc38cf7d","resolution":{"observed_at":"2026-08-05T15:03:12.074744Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.acl-srw.42","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:11.584854Z","title":"Compositional generalization by factorizing alignment and translation","venue":null,"work_id":"106b553b-5974-4ea7-a0b5-ca60ca84e304","year":2020},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:08.574741Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:fd8030f899fc51283a559a18803acf3a9a95d94fdd7928e80d9d3177336c7764","observation_id":"6dc554b7-8404-4f23-96eb-8db11251b6d8","resolution":{"observed_at":"2026-08-05T15:03:11.762177Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:08.794746Z","title":"Transformer grammars: Augmenting transformer language models with syntactic inductive biases at scale","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:08.794746Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:52cc36a1c06086d2a5c7d89e8b06184af486b508416525aa4a27d7532de2b6d7","observation_id":"c21f1c5f-3515-4243-91f5-5499ec395cca","resolution":{"observed_at":"2026-08-05T15:03:08.794746Z","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":"2026-08-05T15:03:08.973822Z","title":"Motiflets: Simple and accurate detection of motifs in time series","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:08.973822Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:6fad21997d117b989fecf39ed27ea41129aa0adfbc728baea96ad2b70d57dba6","observation_id":"d8a43102-86d3-4472-9f42-0a5b77202094","resolution":{"observed_at":"2026-08-05T15:03:08.973822Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:17.320175Z","title":"u gelgen, Frederik Tr \\","venue":null,"work_id":"22812008-0e36-4d4c-9007-dcaaa0f68f42","year":2022},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:09.126738Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:c06e93c22b66ea691ea0c59c41a1d1ff9f927b84a6721c9b80d70614cfbdb5af","observation_id":"e801a3c7-539e-4bda-8f84-acb552d363ba","resolution":{"observed_at":"2026-08-05T15:03:17.389356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03816","last_updated":"2024-08-26T13:12:45Z","snapshot_observed_at":"2026-08-07T10:56:00.324890Z","submitted_at":"2024-08-07T14:52:06Z","title":"Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting","version":2},"cited_work":{"arxiv_id":"2408.03816","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.03816","snapshot_observed_at":"2026-08-05T15:03:14.237828Z","title":"Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting","venue":"cs.LG","work_id":"0da85855-eede-47c8-b91b-1eec1599de54","year":2024},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:09.314742Z"},"links":{"cited_paper":"/paper/2408.03816","citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:d1648b7f9e995362fee1a880548cd2b4f0b4ddf8ff4e881cf3b22fca9b1aca7d","observation_id":"dce8c465-bd67-4600-8f6d-8759257f6463","resolution":{"observed_at":"2026-08-05T15:03:14.347025Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:17.094747Z","title":"Compositionality","venue":null,"work_id":"71985455-87be-426e-8f40-12f19ff0ddbb","year":2020},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:09.444823Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:55d148ced8ff48ae7be40fec4f00a12ed2db7f67bc58ae85549f1fb056dacc85","observation_id":"806456d7-b2c2-4270-b3f6-98e7ff1bbb67","resolution":{"observed_at":"2026-08-05T15:03:17.183661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:09.544748Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:09.544748Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:0cd9309e1b434bb1454f6471e88a941434c567e23e1a633326579321cf477819","observation_id":"7973d705-924b-4ca6-849e-eea0d6a7a484","resolution":{"observed_at":"2026-08-05T15:03:09.544748Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:16.806408Z","title":"Gomez, Lukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":"0d0dd92b-4fd7-4995-bdac-9c2b4c2a8ce6","year":2017},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:09.674738Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:95fe693efd81ef755b2b74f3512a7bcbd0a615378c226f71ff9617fae8d0f2b2","observation_id":"c35b2259-c44c-40e7-9a6e-09e36b482f6a","resolution":{"observed_at":"2026-08-05T15:03:16.932084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:09.844752Z","title":"Vincent, R","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:09.844752Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:7eaa0466806e77f1f654d5b59e532f4fe6caee2d26a3467ca7399a61e6d70c13","observation_id":"6d4ec145-0d4c-425b-ae7a-2c6ae352ff97","resolution":{"observed_at":"2026-08-05T15:03:09.844752Z","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":"2026-08-05T15:03:09.996406Z","title":"Time series data augmentation for deep learning: A survey","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:09.996406Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:aac008bf382ea99958efb07f7d2c0c817bc24b34123d2123fe2a948c26054c44","observation_id":"8c9fe61c-7629-4f63-9d2f-44381b66d130","resolution":{"observed_at":"2026-08-05T15:03:09.996406Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:16.564280Z","title":"Compositional generalization from first principles","venue":null,"work_id":"a8dbd3c0-de48-4300-aa23-6b6eb84d7c06","year":2023},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:10.083060Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:c1291b6287a6ff3eafe3d8b6653df55a93ef70547b47aba77a1d8b5961f83515","observation_id":"7ed073b8-548f-4c85-af0a-9c865fc9cdab","resolution":{"observed_at":"2026-08-05T15:03:16.662099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:16.238702Z","title":"Introduction to symbolic dynamics","venue":null,"work_id":"62e91d22-f739-4fd4-849f-a1d45a382d83","year":2004},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:10.194815Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:b73f0c49259248991efd82d55a988acc41d3f4c39121ef781b07f5bdb4f372a3","observation_id":"38d51228-43c4-45ce-9ad2-c15d1b417163","resolution":{"observed_at":"2026-08-05T15:03:16.334745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:16.002503Z","title":"Compositional generalization in unsupervised compositional representation learning: a study on disentanglement and emergent language","venue":null,"work_id":"bf8a420c-5af1-47da-8d84-422987ebc9e5","year":2022},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:10.342298Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:5f00e6b5203955b6085b1f40bcf9a4ecf92fdc9ada57937bb83773642570f95b","observation_id":"24eb7107-c752-4438-a95d-201c25486b77","resolution":{"observed_at":"2026-08-05T15:03:16.089469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.11739","last_updated":"2022-01-27T18:57:49Z","snapshot_observed_at":"2026-08-02T21:46:00.182173Z","submitted_at":"2022-01-27T18:57:49Z","title":"Robust Augmentation for Multivariate Time Series Classification","version":1},"cited_work":{"arxiv_id":"2201.11739","doi":"10.48550/arxiv.2201.11739","metadata_source":"pith","pith_arxiv_id":"2201.11739","snapshot_observed_at":"2026-08-05T18:16:11.560912Z","title":"Robust Augmentation for Multivariate Time Series Classification","venue":"cs.LG","work_id":"c9dad548-b229-4197-ab5f-3a2a4b6ba264","year":2022},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:10.524747Z"},"links":{"cited_paper":"/paper/2201.11739","citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:bc5d89860280f29fc71d9994d0b256324d669e3cb5d466179c0315e40861ed0d","observation_id":"c3d135a6-bd8e-41eb-b9e0-28fe00e41a92","resolution":{"observed_at":"2026-08-05T15:03:11.212137Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:15.738257Z","title":"Time-series generative adversarial networks","venue":null,"work_id":"8277f004-f8a4-4030-9b81-cc25dc2e5d9d","year":2019},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:10.621248Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:8c1cbd11415d5f0a20cf2cb9be3e23cde232bb892c7e6668e9cddf377ff06305","observation_id":"f3cabd3f-a1ea-4b2d-a9c8-e0bbede9f962","resolution":{"observed_at":"2026-08-05T15:03:15.810570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:03:10.743835Z","title":"Cutmix: Regularization strategy to train strong classifiers with localizable features","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:10.743835Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:7adc1a37d357610263de5605a5b75e950a5c7a2d75dea0a4eeecb0a4ab569229","observation_id":"786ec63d-d13f-43cd-ac63-0f93bcecc132","resolution":{"observed_at":"2026-08-05T15:03:10.743835Z","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":"2026-08-05T15:03:10.890699Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-05T15:03:10.890699Z"},"links":{"citing_paper":"/paper/2508.20656"},"observation_digest":"sha256:329c31622dd319898efddc46406368bc695e2789aa54b65d629aecc6334f01a9","observation_id":"a4d57b36-e0f0-4f02-93fb-f88cb5b1f5cd","resolution":{"observed_at":"2026-08-05T15:03:10.890699Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.20656","last_updated":"2025-08-28T11:02:21Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T13:10:35.506454Z","submitted_at":"2025-08-28T11:02:21Z","title":"Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation"},"reference_resolution":{"displayed":58,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":23,"verified_exact":11,"verified_fuzzy":23},"total_outbound_references":58},"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 7 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2508.20656."}