{"as_of":"2026-08-07T21:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:27d47540d3c012040b8b4f2aaa7bfb21de95a3f0e30c64f291fd26cbfbbd6100","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:07:17.101094Z","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":"2026-05-21T17:05:24.195161Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2108.05542","last_updated":"2021-08-28T05:59:16Z","snapshot_observed_at":"2026-07-06T11:37:42.469163Z","submitted_at":"2021-08-12T05:32:18Z","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing","version":2},"cited_work":{"arxiv_id":"2108.05542","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.05542","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Sangeetha, S","venue":null,"work_id":"283a54b2-a7fb-4b77-885d-0778b21737df","year":2021},"citing_paper":{"arxiv_id":"2211.14730","last_updated":"2023-03-05T22:11:56Z","snapshot_observed_at":"2026-07-31T22:45:35.561492Z","submitted_at":"2022-11-27T05:15:42Z","title":"A Time Series is Worth 64 Words: Long-term Forecasting with Transformers","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-13T19:17:50.682744Z"},"links":{"cited_paper":"/paper/2108.05542","citing_paper":"/paper/2211.14730"},"observation_digest":"sha256:9a6344862218fbe45c37fac1a4c03e94f1e5ed582cf75a394e8b1ae88a7f7b73","observation_id":"ebfdee56-9794-4e77-bb9d-9150aae21f0a","resolution":{"observed_at":"2026-05-13T19:17:50.735514Z","resolver_source":"arxiv_id","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":"2108.05542","last_updated":"2021-08-28T05:59:16Z","snapshot_observed_at":"2026-07-06T11:37:42.469163Z","submitted_at":"2021-08-12T05:32:18Z","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.05542","snapshot_observed_at":"2026-08-07T14:07:17.101094Z","title":"Ammus: A survey of transformer-based pretrained models in natural language processing,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20048","last_updated":"2025-05-26T14:34:05Z","snapshot_observed_at":"2026-08-07T13:58:07.017154Z","submitted_at":"2025-05-26T14:34:05Z","title":"Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:07:17.101094Z"},"links":{"cited_paper":"/paper/2108.05542","citing_paper":"/paper/2505.20048"},"observation_digest":"sha256:c99a523355519ba17aa800be9573ceebd2ae9e18b951282e1c1a2f5144eb77c4","observation_id":"ffc496d2-4286-4a0b-95b9-0620d40ba717","resolution":{"observed_at":"2026-08-07T14:07:17.101094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.05542","last_updated":"2021-08-28T05:59:16Z","snapshot_observed_at":"2026-07-06T11:37:42.469163Z","submitted_at":"2021-08-12T05:32:18Z","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.05542","snapshot_observed_at":"2026-08-07T04:07:47.294186Z","title":"arXiv preprint arXiv:2108.05542 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11671","last_updated":"2025-08-07T03:41:46Z","snapshot_observed_at":"2026-08-07T16:31:10.523426Z","submitted_at":"2025-06-13T11:03:11Z","title":"Brain Network Analysis Based on Fine-tuned Self-supervised Model for Brain Disease Diagnosis","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T04:07:47.294186Z"},"links":{"cited_paper":"/paper/2108.05542","citing_paper":"/paper/2506.11671"},"observation_digest":"sha256:357843d37889eb45079fe6329f12fed000834d48e943bdb8157a523d8fc250dd","observation_id":"bb66e313-a6fb-417f-9d8a-0f8909539080","resolution":{"observed_at":"2026-08-07T04:07:47.294186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.05542","last_updated":"2021-08-28T05:59:16Z","snapshot_observed_at":"2026-07-06T11:37:42.469163Z","submitted_at":"2021-08-12T05:32:18Z","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.05542","snapshot_observed_at":"2026-08-06T19:08:26.581979Z","title":"Ammus: A survey of transformer-based pretrained models in natural language processing,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06538","last_updated":"2025-07-09T04:42:18Z","snapshot_observed_at":"2026-08-06T18:58:32.707668Z","submitted_at":"2025-07-09T04:42:18Z","title":"Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:08:26.581979Z"},"links":{"cited_paper":"/paper/2108.05542","citing_paper":"/paper/2507.06538"},"observation_digest":"sha256:c279b377203fc756f0d6d971c0726a60b9d6e34c727e7cb65112aec090a70e9d","observation_id":"3b4f26f5-2fc9-4b3f-babb-3cb84fa055d9","resolution":{"observed_at":"2026-08-06T19:08:26.581979Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.05542","last_updated":"2021-08-28T05:59:16Z","snapshot_observed_at":"2026-07-06T11:37:42.469163Z","submitted_at":"2021-08-12T05:32:18Z","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.05542","snapshot_observed_at":"2026-08-06T15:55:33.474366Z","title":"Ammus: A survey of transformer- based pretrained models in natural language processing","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.22913","last_updated":"2025-07-19T15:32:46Z","snapshot_observed_at":"2026-08-06T15:48:09.809938Z","submitted_at":"2025-07-19T15:32:46Z","title":"A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T15:55:33.474366Z"},"links":{"cited_paper":"/paper/2108.05542","citing_paper":"/paper/2507.22913"},"observation_digest":"sha256:08a380dfa8c788e3aa78b663b4b03feef772549d26d57329dc7fb131ceef7eaf","observation_id":"98196713-bbf3-4ba7-a1ad-5230991ed614","resolution":{"observed_at":"2026-08-06T15:55:33.474366Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.05542","last_updated":"2021-08-28T05:59:16Z","snapshot_observed_at":"2026-07-06T11:37:42.469163Z","submitted_at":"2021-08-12T05:32:18Z","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing","version":2},"cited_work":{"arxiv_id":"2108.05542","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.05542","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Sangeetha, S","venue":null,"work_id":"283a54b2-a7fb-4b77-885d-0778b21737df","year":2021},"citing_paper":{"arxiv_id":"2508.01486","last_updated":"2026-04-19T08:43:46Z","snapshot_observed_at":"2026-08-02T18:54:29.901751Z","submitted_at":"2025-08-02T20:42:37Z","title":"Human-Centered Supervision for Sentiment Analysis in Telugu: A Systematic Inquiry Beyond Accuracy","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-19T00:55:50.492277Z"},"links":{"cited_paper":"/paper/2108.05542","citing_paper":"/paper/2508.01486"},"observation_digest":"sha256:d35d7244a6baaa8453f88b47cde4e60fb43b3c16a98008ebaf42007a0c604192","observation_id":"e6eaf4dc-263d-4407-b688-20dd31d51257","resolution":{"observed_at":"2026-05-19T00:56:56.239583Z","resolver_source":"arxiv_id","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":"2108.05542","last_updated":"2021-08-28T05:59:16Z","snapshot_observed_at":"2026-07-06T11:37:42.469163Z","submitted_at":"2021-08-12T05:32:18Z","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing","version":2},"cited_work":{"arxiv_id":"2108.05542","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.05542","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Sangeetha, S","venue":null,"work_id":"283a54b2-a7fb-4b77-885d-0778b21737df","year":2021},"citing_paper":{"arxiv_id":"2601.03613","last_updated":"2026-05-20T16:35:35Z","snapshot_observed_at":"2026-08-02T19:27:53.235804Z","submitted_at":"2026-01-07T05:41:50Z","title":"A Simple but Efficient Transformer-Based Physics-Informed Neural Network for Incompressible Navier--Stokes Equations","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-21T17:04:21.164340Z"},"links":{"cited_paper":"/paper/2108.05542","citing_paper":"/paper/2601.03613"},"observation_digest":"sha256:bef496fef81168d8758e4929d1f144276f9dc2469068249cdd8f7a4cbd9d73c0","observation_id":"4cd682ae-1352-45d6-956a-5400cea40706","resolution":{"observed_at":"2026-05-21T17:05:24.198745Z","resolver_source":"arxiv_id","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":"2108.05542","last_updated":"2021-08-28T05:59:16Z","snapshot_observed_at":"2026-07-06T11:37:42.469163Z","submitted_at":"2021-08-12T05:32:18Z","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.05542","snapshot_observed_at":"2026-07-11T12:49:21.657332Z","title":"https://doi","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.04832","last_updated":"2026-07-06T09:07:36Z","snapshot_observed_at":"2026-08-06T21:31:24.942252Z","submitted_at":"2026-07-06T09:07:36Z","title":"Semantic Homogenization in Italian Popular Music: A Diachronic Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-11T12:49:21.657332Z"},"links":{"cited_paper":"/paper/2108.05542","citing_paper":"/paper/2607.04832"},"observation_digest":"sha256:1b18dbec1b4f05a54f010e984981be4e12a3e58ad37dcb3e8b5df674f112aade","observation_id":"32b5c5a2-e2d0-41ff-8c51-1511a2e838ef","resolution":{"observed_at":"2026-07-11T12:49:21.657332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2108.05542/citation-record","integrity":"/paper/2108.05542/integrity","json":"/paper/2108.05542/citation-record.json","paper":"/paper/2108.05542"},"outbound":[],"paper":{"arxiv_id":"2108.05542","last_updated":"2021-08-28T05:59:16Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T11:37:42.469163Z","submitted_at":"2021-08-12T05:32:18Z","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing"},"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":"2026-08-07T06:34:17.273281+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 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2108.05542."}