{"as_of":"2026-08-08T18:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c38918c88a84ce2a54ca6877547e63114839b992449302e2a200d58c931b825b","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T11:09:08.432049Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T03:24:59.836252Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T16:06:07.459297Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"cited_work":{"arxiv_id":"2507.23083","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.23083","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Context-Aware rotary position embedding","venue":null,"work_id":"95ed7a02-f3fd-4825-8faf-a14fb6337914","year":2025},"citing_paper":{"arxiv_id":"2605.00968","last_updated":"2026-05-01T15:51:10Z","snapshot_observed_at":"2026-07-06T23:14:15.780028Z","submitted_at":"2026-05-01T15:51:10Z","title":"Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-09T18:48:03.437788Z"},"links":{"cited_paper":"/paper/2507.23083","citing_paper":"/paper/2605.00968"},"observation_digest":"sha256:988db39e2deb429e662bc2ee7213561cf739b3d0332e4d6835de98b7880ca689","observation_id":"c9d3f349-2738-4e97-aaf8-d3505cd8cf09","resolution":{"observed_at":"2026-05-11T16:06:07.465038Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.23083","snapshot_observed_at":"2026-08-01T03:24:59.836252Z","title":"Veisi, D","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23194","last_updated":"2026-07-25T13:16:57Z","snapshot_observed_at":"2026-08-07T04:21:48.308394Z","submitted_at":"2026-07-25T13:16:57Z","title":"Out-of-Length Scene Text Recognition: A Two-Axis Diagnosis and a Training-Free Fix","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T03:24:59.836252Z"},"links":{"cited_paper":"/paper/2507.23083","citing_paper":"/paper/2607.23194"},"observation_digest":"sha256:0e7243a385f5de9fb8846f13d0beceae25f64da83458a1242aa584c9e09c5a1b","observation_id":"34e39c4d-7131-4dcb-81f8-09b322129b93","resolution":{"observed_at":"2026-08-01T03:24:59.836252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.23083/citation-record","integrity":"/paper/2507.23083/integrity","json":"/paper/2507.23083/citation-record.json","paper":"/paper/2507.23083"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:09:08.354292Z","title":"URL: \" 'urlintro :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.354292Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:7cd7e843855d1553083f0c2f7356de5ca7fdfeece23db734c081ba27d92bfc2b","observation_id":"d51f869b-edcc-4d65-9e4b-6c49a075f0a1","resolution":{"observed_at":"2026-08-06T11:09:08.354292Z","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":"2026-08-06T11:09:08.359392Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.359392Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:d0445eef36eafccac40050fa5a576b12935395c94f1adffcc741574b77b1c63d","observation_id":"d8edd870-b616-4319-a701-c54eabd01161","resolution":{"observed_at":"2026-08-06T11:09:08.359392Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-06T11:09:08.363230Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.363230Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:3816739ae1e42965e7d1ebb8363646889b3e31693e4cfa750a10428e60d1b592","observation_id":"a8a5fbee-cb02-4ba0-89de-9abafd554443","resolution":{"observed_at":"2026-08-06T11:09:08.363230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.10853","last_updated":"2019-02-22T23:41:46Z","snapshot_observed_at":"2026-07-06T07:04:49.995800Z","submitted_at":"2018-09-28T04:30:11Z","title":"Adaptive Input Representations for Neural Language Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.10853","snapshot_observed_at":"2026-08-06T11:09:08.367477Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.367477Z"},"links":{"cited_paper":"/paper/1809.10853","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:6c3efe69f3d7142ed0dd7563e4d23f7daba1820e0fadd86ee940d9874b4bd4d9","observation_id":"af8c1ee5-a7ea-4fb3-ad79-45c2c622ea52","resolution":{"observed_at":"2026-08-06T11:09:08.367477Z","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":"2026-08-06T11:09:08.371135Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.371135Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:0c3e32528bb18817f80e34a02a30fc2f308f30ad931d3715a274abd04c82b7e0","observation_id":"1ef4170c-0e43-4bef-8f19-5bf2654ce54c","resolution":{"observed_at":"2026-08-06T11:09:08.371135Z","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":"2026-08-06T11:09:08.375164Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.375164Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:9d95b008a0b9bc9980c9811c4c51f191be584a0a587847a0fab28e5f8bd7d2d8","observation_id":"91eef5fb-ca19-4cd7-b467-d410c9030d8d","resolution":{"observed_at":"2026-08-06T11:09:08.375164Z","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":"2026-08-06T11:09:08.378846Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.378846Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:998ed939973c6db3a4a377271ca6371471849312bbb9ae705a735314aafb8156","observation_id":"a8009a6c-b63e-4da3-a7a7-03479672cfdf","resolution":{"observed_at":"2026-08-06T11:09:08.378846Z","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":"2026-08-06T11:09:08.614254Z","title":null,"venue":null,"work_id":"03a63588-b946-4275-8a85-13cdeb2686ee","year":2017},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.382344Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:a60fde8959bd64334120ff95d6996b69b381302609d6e03f48148254367f40fb","observation_id":"43569543-7dc1-4d25-bc87-4a658fbd4455","resolution":{"observed_at":"2026-08-06T11:09:08.617476Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:09:08.605357Z","title":null,"venue":null,"work_id":"657e5c19-9b79-4361-8b97-d4a8c34ba7ab","year":2021},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.385664Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:af3cf9ce13596ad56ee660a0ddcc9e73e65b04f402b430fd9127d761a6c15fc3","observation_id":"b79bae0b-4265-494f-88e8-374f6ed75b42","resolution":{"observed_at":"2026-08-06T11:09:08.608094Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-06T11:09:08.388948Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.388948Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:4e3ef432d87344c31dfb8a1b06f3c4d4024b79be6ddbf89c7d9415ef73777c27","observation_id":"2f559f38-bf02-42b7-bfc9-522f412504e6","resolution":{"observed_at":"2026-08-06T11:09:08.388948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.00187","last_updated":"2018-09-04T23:19:27Z","snapshot_observed_at":"2026-07-06T06:42:25.746932Z","submitted_at":"2018-06-01T04:33:16Z","title":"Scaling Neural Machine Translation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.00187","snapshot_observed_at":"2026-08-06T11:09:08.392613Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.392613Z"},"links":{"cited_paper":"/paper/1806.00187","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:11d08a089f57ae75df7992a4c76a302db044dd2ed5cbf6fd9bba9c4748545e83","observation_id":"4a086c0b-c703-4f0a-b613-61ae2a6b9214","resolution":{"observed_at":"2026-08-06T11:09:08.392613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17557","last_updated":"2024-10-31T11:37:49Z","snapshot_observed_at":"2026-08-02T15:25:02.551919Z","submitted_at":"2024-06-25T13:50:56Z","title":"The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17557","snapshot_observed_at":"2026-08-06T11:09:08.396347Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.396347Z"},"links":{"cited_paper":"/paper/2406.17557","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:47b85719698dc0eb50c84deb42cd84aaa98e5f2ff39b75b6d1262af3e04f74da","observation_id":"04a4209b-3433-4233-8bfb-0df5cf5d5142","resolution":{"observed_at":"2026-08-06T11:09:08.396347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.12409","last_updated":"2022-04-22T18:20:48Z","snapshot_observed_at":"2026-08-07T11:26:24.970964Z","submitted_at":"2021-08-27T17:35:06Z","title":"Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.12409","snapshot_observed_at":"2026-08-06T11:09:08.399592Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.399592Z"},"links":{"cited_paper":"/paper/2108.12409","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:8373f91ae9c5ae282197b1825bcac4e86bc093e1fea6cc540f49e26c7b72bec2","observation_id":"390d348d-179c-4c73-ab09-f2aad1f2d7df","resolution":{"observed_at":"2026-08-06T11:09:08.399592Z","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":"2026-08-06T11:09:08.402848Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.402848Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:73cfc4eb0583e64c6f3504c37f9b684ce6f3d34540f72f87d7b6beb67637fa00","observation_id":"83b98806-007c-451b-beb3-982da0617a4d","resolution":{"observed_at":"2026-08-06T11:09:08.402848Z","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":"2026-08-06T11:09:08.405702Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.405702Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:2418f868fbfc154ab77354767a3a4eff7a1d2ddbff05488cf98702007aef1b2f","observation_id":"9dc4a849-e940-4d7e-9452-ff74c4274626","resolution":{"observed_at":"2026-08-06T11:09:08.405702Z","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":"2026-08-06T11:09:08.582560Z","title":null,"venue":null,"work_id":"6bc7f67b-e4ff-4cb1-b208-7824a25d62bb","year":2020},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.408957Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:df70d6398ce0b196dccda775d895260c50bd44e319ac7c0038038749697b2980","observation_id":"5de5b7bd-a701-4af0-ac8d-934a7b3e72a4","resolution":{"observed_at":"2026-08-06T11:09:08.586362Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:09:08.411754Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.411754Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:3d60c2a9c83f47b9c37c4634728af115a9b8d7e2204dfa53b358f69242ee3b43","observation_id":"d53d95ca-1b1d-4150-b7ef-048311838688","resolution":{"observed_at":"2026-08-06T11:09:08.411754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-06T11:09:08.414425Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.414425Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:88ff0b465d9ee3041c66f699187bb4de69cb2bfc5ac28890c06593b24dea9e17","observation_id":"1a64d1ae-cdda-46c0-87c2-2deb02ec49b4","resolution":{"observed_at":"2026-08-06T11:09:08.414425Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08295","last_updated":"2024-04-16T12:52:47Z","snapshot_observed_at":"2026-08-03T03:29:01.959523Z","submitted_at":"2024-03-13T06:59:16Z","title":"Gemma: Open Models Based on Gemini Research and Technology","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08295","snapshot_observed_at":"2026-08-06T11:09:08.417676Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.417676Z"},"links":{"cited_paper":"/paper/2403.08295","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:e949507597685d31d6827a6c3f2bfe66d4eba5ee5fbdaff2bab396acbf6b3a7e","observation_id":"c145d4eb-00dd-47dc-9eae-ae27bf94fa7d","resolution":{"observed_at":"2026-08-06T11:09:08.417676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00118","last_updated":"2024-10-02T15:22:49Z","snapshot_observed_at":"2026-08-02T16:20:09.773989Z","submitted_at":"2024-07-31T19:13:07Z","title":"Gemma 2: Improving Open Language Models at a Practical Size","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00118","snapshot_observed_at":"2026-08-06T11:09:08.421295Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.421295Z"},"links":{"cited_paper":"/paper/2408.00118","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:7ce8551828928486c3b6721ebd9558701135c683e27c72b0f38e4b13821956e9","observation_id":"ba3de140-0f0c-46da-b826-9c3f4c611961","resolution":{"observed_at":"2026-08-06T11:09:08.421295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-06T11:09:08.425020Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.425020Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:fd3fbc0d75f1e5504d8f67aa283cca4b04c5878d9c839f00c5eba8efd20124d9","observation_id":"e7144c18-87ba-47d8-8c06-2c9ed65a1d5f","resolution":{"observed_at":"2026-08-06T11:09:08.425020Z","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":"2026-08-06T11:09:08.428733Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.428733Z"},"links":{"citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:35a4d35dd82335caa95d4d211eed220a0004c57c213bffa267bed01bb4eb99b7","observation_id":"0e56632e-2648-4e67-91ef-59e9999ce69e","resolution":{"observed_at":"2026-08-06T11:09:08.428733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.10077","last_updated":"2020-02-25T03:12:57Z","snapshot_observed_at":"2026-07-06T08:46:09.705605Z","submitted_at":"2019-12-20T19:49:32Z","title":"Are Transformers universal approximators of sequence-to-sequence functions?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.10077","snapshot_observed_at":"2026-08-06T11:09:08.432049Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T11:09:08.432049Z"},"links":{"cited_paper":"/paper/1912.10077","citing_paper":"/paper/2507.23083"},"observation_digest":"sha256:c7040c4f750281e8e049040ae2c17501f786e660dabed6fd0a1a8f209d4a9d7c","observation_id":"50e79fa4-7a8d-4670-8b8a-57c90e4b4820","resolution":{"observed_at":"2026-08-06T11:09:08.432049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.23083","last_updated":"2025-07-30T20:32:19Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T04:21:12.249989Z","submitted_at":"2025-07-30T20:32:19Z","title":"Context-aware Rotary Position Embedding"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":23},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2507.23083."}