{"as_of":"2026-08-09T18:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7b7362a3c0d2d47198186b408752674cd8050e60e9c49613af937715a0ce36c3","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":19,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:08:12.883259Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":5,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2302.14045","last_updated":"2023-03-01T11:04:51Z","snapshot_observed_at":"2026-08-08T05:52:17.343895Z","submitted_at":"2023-02-27T18:55:27Z","title":"Language Is Not All You Need: Aligning Perception with Language Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-15T18:32:22.813668Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2302.14045"},"observation_digest":"sha256:0c9731faaca809313fd6e9434cd3e23d319f34d75117188383d67ac46042515e","observation_id":"39635a41-d8d0-4bed-acea-90be2473a319","resolution":{"observed_at":"2026-05-15T18:32:22.981599Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2307.08621","last_updated":"2023-08-09T08:53:08Z","snapshot_observed_at":"2026-08-02T13:21:32.251959Z","submitted_at":"2023-07-17T16:40:01Z","title":"Retentive Network: A Successor to Transformer for Large Language Models","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-11T20:29:59.633357Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2307.08621"},"observation_digest":"sha256:f70707f480dbe7dcbc1cf04263bdb2384f9039bb6a1a6fd68de1e8f7ed69e806","observation_id":"1efb938f-e789-4ab5-8a17-70655b120d01","resolution":{"observed_at":"2026-05-11T20:29:59.957701Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2308.14508","last_updated":"2024-06-19T04:00:32Z","snapshot_observed_at":"2026-08-08T03:49:18.086396Z","submitted_at":"2023-08-28T11:53:40Z","title":"LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding","version":2},"reference_index":118,"source":"arxiv_source","source_observed_at":"2026-05-12T20:22:10.482509Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2308.14508"},"observation_digest":"sha256:58baab7a68c7165eca5c189c6cdfb34bf8e2c9769220e2f5bc1502e9fef924bc","observation_id":"410804a5-897d-48b0-82a9-a0144713fcea","resolution":{"observed_at":"2026-05-12T20:22:10.599018Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2309.00071","last_updated":"2026-02-06T19:40:50Z","snapshot_observed_at":"2026-08-01T02:15:47.181936Z","submitted_at":"2023-08-31T18:18:07Z","title":"YaRN: Efficient Context Window Extension of Large Language Models","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-12T06:46:50.042423Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2309.00071"},"observation_digest":"sha256:0551ae84e72aed4fabf80db15d4918d55775500b0e84fc6885c6a575f9b1d54c","observation_id":"f1a83ea9-b18a-4073-b399-2f02b668c861","resolution":{"observed_at":"2026-05-12T06:46:51.283373Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2403.07815","last_updated":"2024-11-04T17:42:45Z","snapshot_observed_at":"2026-07-06T17:43:27.034067Z","submitted_at":"2024-03-12T16:53:54Z","title":"Chronos: Learning the Language of Time Series","version":3},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-05-13T08:27:23.298009Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2403.07815"},"observation_digest":"sha256:06a4915a21d7428093830b2c2b20e20f90650b4dbeabfc75f175a959d67dcfe9","observation_id":"9488393e-a861-433a-b082-620203dfdb64","resolution":{"observed_at":"2026-05-13T08:27:23.380420Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-07T14:08:12.883259Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.19959","last_updated":"2025-07-30T16:46:12Z","snapshot_observed_at":"2026-08-09T01:20:29.114355Z","submitted_at":"2025-05-26T13:21:18Z","title":"MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models","version":2},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-07T14:08:12.883259Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2505.19959"},"observation_digest":"sha256:b22f1a3d36f67fcbde9b8c2f4e9642cdf721f0359594223bae71869867dba916","observation_id":"613f2a18-8206-4807-8b1f-bcc3779a936f","resolution":{"observed_at":"2026-08-07T14:08:12.883259Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-07T05:56:23.811097Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06708","last_updated":"2025-06-07T08:09:26Z","snapshot_observed_at":"2026-08-07T07:53:12.260231Z","submitted_at":"2025-06-07T08:09:26Z","title":"A Survey of Retentive Network","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-07T05:56:23.811097Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2506.06708"},"observation_digest":"sha256:20bb664a2123d5b48b08953c23c73dd35abf95c80d6fd843f8722739aebf1e4a","observation_id":"826c5d85-8e6f-4567-a46c-f3b2a36bbc4d","resolution":{"observed_at":"2026-08-07T05:56:23.811097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-07T04:13:17.767285Z","title":"A length-extrapolatable transformer, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.11440","last_updated":"2025-06-13T03:38:29Z","snapshot_observed_at":"2026-08-07T04:06:34.003190Z","submitted_at":"2025-06-13T03:38:29Z","title":"AbsenceBench: Language Models Can't Tell What's Missing","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T04:13:17.767285Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2506.11440"},"observation_digest":"sha256:41f1e8d8f502f1e581de78d8c7f36e68a70f02393cec1bda5e7d0f5672f98f39","observation_id":"779560ff-d125-4b76-a476-ab4d55c1d77c","resolution":{"observed_at":"2026-08-07T04:13:17.767285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-06T15:57:04.574406Z","title":"A length-extrapolatable transformer","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.14675","last_updated":"2025-07-19T16:03:34Z","snapshot_observed_at":"2026-08-09T00:51:52.133273Z","submitted_at":"2025-07-19T16:03:34Z","title":"Docopilot: Improving Multimodal Models for Document-Level Understanding","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T15:57:04.574406Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2507.14675"},"observation_digest":"sha256:200cb0394150c4402aa278d0767967d01d44f7f2baba6630e241fbb11ba5790e","observation_id":"89c87ff9-80a8-430b-89a3-ffa96216daa0","resolution":{"observed_at":"2026-08-06T15:57:04.574406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T10:36:59.836850Z","title":"A length-extrapolatable transformer","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.03973","last_updated":"2025-09-04T07:58:52Z","snapshot_observed_at":"2026-08-09T07:46:17.545398Z","submitted_at":"2025-09-04T07:58:52Z","title":"SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:59.836850Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2509.03973"},"observation_digest":"sha256:f239ff6dcb1b03fa7efa1867d5db1ec9c1c787356ed8650007494118f97a8d5e","observation_id":"b458e626-8b96-40bc-ba08-f11a4ef333fb","resolution":{"observed_at":"2026-08-05T10:36:59.836850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2509.04154","last_updated":"2026-07-16T05:43:33Z","snapshot_observed_at":"2026-08-09T16:38:33.302007Z","submitted_at":"2025-09-04T12:29:14Z","title":"Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation","version":5},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-05-18T18:56:48.722344Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2509.04154"},"observation_digest":"sha256:74a056ae8ef6ebc25b30a0e99e812c99486ef0127484c6ee7cf42577a50e33e8","observation_id":"4308ad5f-fd13-4173-9029-23e6ab987f58","resolution":{"observed_at":"2026-05-18T19:01:46.268329Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T10:25:17.241344Z","title":"A length-extrapolatable Transformer , 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04154","last_updated":"2026-07-16T05:43:33Z","snapshot_observed_at":"2026-08-09T16:38:33.302007Z","submitted_at":"2025-09-04T12:29:14Z","title":"Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation","version":9},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-05T10:25:17.241344Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2509.04154"},"observation_digest":"sha256:9335d5568a96e027058c9c01566b4952a7425a591f49d2f37a8a51e77a67b9c8","observation_id":"acf8181c-9bfc-4482-af0c-e4a24493ff85","resolution":{"observed_at":"2026-08-05T10:25:17.241344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T05:36:56.171123Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.05218","last_updated":"2025-09-08T03:13:38Z","snapshot_observed_at":"2026-08-09T17:41:45.675571Z","submitted_at":"2025-09-05T16:20:48Z","title":"HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T05:36:56.171123Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2509.05218"},"observation_digest":"sha256:7a0cd2439fcd67ac3f7e3b004aa64d645426e87c85530ff7b6df55cd6bea918b","observation_id":"565244ea-9b11-4dcb-b7e2-e2a8abdca9d7","resolution":{"observed_at":"2026-08-05T05:36:56.171123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2512.07805","last_updated":"2026-05-13T18:33:36Z","snapshot_observed_at":"2026-07-06T22:38:08.821098Z","submitted_at":"2025-12-08T18:39:13Z","title":"Group Representational Position Encoding","version":6},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-17T00:04:13.707931Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2512.07805"},"observation_digest":"sha256:3fbfb60fe7ab900280e586c5e8d8054fc5a43417e8177826a7ec99f5a7fc6188","observation_id":"174b3d68-0088-4826-bbd1-ee90047ed7f7","resolution":{"observed_at":"2026-05-17T00:08:43.781278Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2604.18603","last_updated":"2026-04-09T19:32:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-09T19:32:11Z","title":"Dual Triangle Attention: Effective Bidirectional Attention Without Positional Embeddings","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T16:50:43.716813Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2604.18603"},"observation_digest":"sha256:103c0ffedccf73cbb521acce51bd226364db24eb25d15570d2e57c21320a7166","observation_id":"2e5e91bd-ebf0-4ee8-8999-630735cdcb99","resolution":{"observed_at":"2026-05-10T21:20:51.614396Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2605.04217","last_updated":"2026-05-21T13:27:26Z","snapshot_observed_at":"2026-08-07T11:03:27.831093Z","submitted_at":"2026-05-05T18:59:31Z","title":"Jordan-RoPE: Non-Semisimple Relative Positional Encoding via Complex Jordan Blocks","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-08T17:10:23.896291Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2605.04217"},"observation_digest":"sha256:ca3a3bb58e7235e777c915e9e5c3564f18736849ef54be8565bdd1fd0bc27158","observation_id":"bbdbe577-7c5e-4b5d-bd43-75775af4c4c0","resolution":{"observed_at":"2026-05-11T17:46:10.094735Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2605.04217","last_updated":"2026-05-21T13:27:26Z","snapshot_observed_at":"2026-08-07T11:03:27.831093Z","submitted_at":"2026-05-05T18:59:31Z","title":"Jordan-RoPE: Non-Semisimple Relative Positional Encoding via Complex Jordan Blocks","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-05-22T10:38:40.497451Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2605.04217"},"observation_digest":"sha256:a213c56854ecad7d3ff0be640b80084513c528df63130c1182d1e198c2dfeb16","observation_id":"d7835ec3-b4ae-404b-be5d-7721461b03bb","resolution":{"observed_at":"2026-05-22T10:41:25.291856Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2605.11007","last_updated":"2026-08-02T03:28:25Z","snapshot_observed_at":"2026-08-09T05:29:36.920797Z","submitted_at":"2026-05-10T08:14:14Z","title":"The Transformer as a Polar State Estimator","version":1},"reference_index":191,"source":"arxiv_source","source_observed_at":"2026-05-13T00:58:28.483037Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2605.11007"},"observation_digest":"sha256:da0fa148f1009ebe7a6056fc90b05ffc3663c65a765ab5c5f58265f364af6366","observation_id":"89c45231-a6cf-42b8-bfd2-c89ea4c4022a","resolution":{"observed_at":"2026-05-13T02:17:07.654848Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer","version":1},"cited_work":{"arxiv_id":"2212.10554","doi":"10.48550/arxiv.2212.10554","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.10554","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A length-extrapolatable transformer","venue":"arXiv (Cornell University)","work_id":"6c4a9e39-1f99-42ab-8c9a-efdd45ae8351","year":2022},"citing_paper":{"arxiv_id":"2606.21300","last_updated":"2026-06-19T10:23:25Z","snapshot_observed_at":"2026-07-06T23:56:21.824303Z","submitted_at":"2026-06-19T10:23:25Z","title":"SCOPE: Scale-Consistent One-Pass Estimation of 3D Geometry","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-06-26T14:47:27.025259Z"},"links":{"cited_paper":"/paper/2212.10554","citing_paper":"/paper/2606.21300"},"observation_digest":"sha256:ae5b59e996a5c3ae985d1553f0a70c3ee0760bcc0f7239f0a8ab40c26a5f585c","observation_id":"0c422d46-92cc-4233-a4c9-44314a211bce","resolution":{"observed_at":"2026-07-04T06:09:37.608142Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2212.10554/citation-record","integrity":"/paper/2212.10554/integrity","json":"/paper/2212.10554/citation-record.json","paper":"/paper/2212.10554"},"outbound":[],"paper":{"arxiv_id":"2212.10554","last_updated":"2022-12-20T18:56:20Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T00:51:36.452647Z","submitted_at":"2022-12-20T18:56:20Z","title":"A Length-Extrapolatable Transformer"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2212.10554."}