{"as_of":"2026-08-22T06:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:277eac3c3c3363fd554dc36ea9f17b1417fc5b900fd33b287d8c6e78d8844bb5","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:17:30.947440Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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":"2026-08-03T13:22:27.590459Z","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":"2026-06-29T00:22:51.626614Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.06085","snapshot_observed_at":"2026-08-03T13:22:27.590459Z","title":"A survey on prompt tuning.arXiv preprint arXiv:2507.06085, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.24625","last_updated":"2026-07-27T13:21:50Z","snapshot_observed_at":"2026-08-20T15:42:43.621093Z","submitted_at":"2025-12-31T04:52:19Z","title":"AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T13:22:27.590459Z"},"links":{"cited_paper":"/paper/2507.06085","citing_paper":"/paper/2512.24625"},"observation_digest":"sha256:2681de20dc0f9d64dcb9a4c8a31b13eae2e4521b5e6f46f6ca977307d0047937","observation_id":"6212144d-fe9e-4d68-beed-993a2c4de786","resolution":{"observed_at":"2026-08-03T13:22:27.590459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"cited_work":{"arxiv_id":"2507.06085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.06085","snapshot_observed_at":"2026-06-29T00:22:51.626614Z","title":"Bioinformatics, 36(4):1234–1240","venue":null,"work_id":"fcee2231-c0ae-4b60-8393-76e0a8347ad5","year":2020},"citing_paper":{"arxiv_id":"2605.29511","last_updated":"2026-05-29T05:49:24Z","snapshot_observed_at":"2026-08-18T01:30:42.992835Z","submitted_at":"2026-05-28T07:33:29Z","title":"DynaGraph: Lightweight Multi-Model Interaction Framework via Dynamic Topological Reconfiguration","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T00:15:14.137403Z"},"links":{"cited_paper":"/paper/2507.06085","citing_paper":"/paper/2605.29511"},"observation_digest":"sha256:d43d59a64d91db238e097ab53e4bffbe1546051fc9f77faabe15b424da8d4ba5","observation_id":"a98e7cfd-0976-4741-b5a7-734ff8347337","resolution":{"observed_at":"2026-06-29T00:22:51.627938Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.06085/citation-record","integrity":"/paper/2507.06085/integrity","json":"/paper/2507.06085/citation-record.json","paper":"/paper/2507.06085"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-14T10:40:26.323157Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-06T19:17:30.947440Z","title":"Zhao, W., Gupta, A., Chung, T., and Huang, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:30.947440Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:41924774f214a4a9325e90eac27783a2491869dcb8be701e49d539b4eff1e4fe","observation_id":"7d856bd2-7924-40df-b92f-fcda6f85b4ed","resolution":{"observed_at":"2026-08-06T19:17:30.947440Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-06T19:17:30.587626Z","title":"doi: 10.18653/v1/2021.emnlp-main.221","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:30.587626Z"},"links":{"citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:9ff842088fab45574ba67875b8be0e06fc83a5a64d371d4be2d8a4de0b6ae7e2","observation_id":"326075de-e4db-4b19-8bbf-5518ccaa367e","resolution":{"observed_at":"2026-08-06T19:17:30.587626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03094","last_updated":"2024-08-06T10:51:47Z","snapshot_observed_at":"2026-08-18T11:15:02.779200Z","submitted_at":"2024-08-06T10:51:47Z","title":"500xCompressor: Generalized Prompt Compression for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03094","snapshot_observed_at":"2026-08-06T19:17:30.088575Z","title":"acl-long.353","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":353,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:30.088575Z"},"links":{"cited_paper":"/paper/2408.03094","citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:ab4d0dddd012811f8adf7e993e18606eaacdec1866e70940e8d9dffb29bf40da","observation_id":"e0061171-835e-4d88-ac35-9ccfcf50aa5e","resolution":{"observed_at":"2026-08-06T19:17:30.088575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03979","last_updated":"2025-03-06T00:03:55Z","snapshot_observed_at":"2026-08-19T00:36:23.011311Z","submitted_at":"2025-03-06T00:03:55Z","title":"ReasonGraph: Visualisation of Reasoning Paths","version":1},"cited_work":{"arxiv_id":"2503.03979","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.03979","snapshot_observed_at":"2026-08-06T19:17:31.728051Z","title":"ReasonGraph: Visualisation of Reasoning Paths","venue":"cs.CL","work_id":"5c094b62-9957-415a-b3f9-9d59c703edb8","year":2025},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":368,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:30.242644Z"},"links":{"cited_paper":"/paper/2503.03979","citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:7b405ffee4688b6c2560b7544dfbcc067929b2737c5de88b72f8a6a7be990658","observation_id":"dd5b71ec-1ffa-4e83-b9a0-ea8935948ea5","resolution":{"observed_at":"2026-08-06T19:17:31.771013Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06608","last_updated":"2025-02-26T18:59:01Z","snapshot_observed_at":"2026-08-13T23:11:34.204909Z","submitted_at":"2024-06-06T18:10:11Z","title":"The Prompt Report: A Systematic Survey of Prompt Engineering Techniques","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06608","snapshot_observed_at":"2026-08-06T19:17:30.379443Z","title":"findings-acl.421","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":421,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:30.379443Z"},"links":{"cited_paper":"/paper/2406.06608","citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:9bfa2841215244d4d58b9f4e3b828829b4dc1373094e5b66b79c68f372261072","observation_id":"a0fddb58-8949-41ad-8035-6ce0b53472d0","resolution":{"observed_at":"2026-08-06T19:17:30.379443Z","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":"2026-08-06T19:17:29.565191Z","title":"emnlp-main.446","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":446,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:29.565191Z"},"links":{"citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:e234d0d46bfd08305a9fde1761b7af27a324bf13217c20eabd27aa066d918f03","observation_id":"de0be3ba-da6d-4d40-a41d-1283f6b07790","resolution":{"observed_at":"2026-08-06T19:17:29.565191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-16T18:00:58.008096Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-06T19:17:29.801523Z","title":"acl-long.576","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":576,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:29.801523Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:ccef5e6ed73a2ed25859abdf44e1f5ba76026169e57b9f9a2449eda88056397b","observation_id":"6b199e2d-007f-450a-b030-bf11feae1a2c","resolution":{"observed_at":"2026-08-06T19:17:29.801523Z","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":"10.1016/j.aiopen.2024.01","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:17:31.173401Z","title":"findings-emnlp.780","venue":null,"work_id":"34b244b5-ba5a-436a-a762-c142a71e24ca","year":2023},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":780,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:30.840303Z"},"links":{"citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:3b8d93541a5bb5c4a484b4dc51670cb30ec499358e7d69682f77d7d67b60fc76","observation_id":"2c518bb9-ca16-46c8-9f9b-0e302b1060e2","resolution":{"observed_at":"2026-08-06T19:17:31.307747Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T19:17:30.752380Z","title":"findings-emnlp.890","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":890,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:30.752380Z"},"links":{"citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:f8cfa4645ddd700d04600b8d49cf5c52b05b1429c68c6b979c4cb9ab3fe7feca","observation_id":"3c0ab5be-7310-4401-8a82-145ebc822711","resolution":{"observed_at":"2026-08-06T19:17:30.752380Z","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":"2026-08-06T19:17:29.967187Z","title":"doi: 10.18653/v1/2021.emnlp-main.243","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:29.967187Z"},"links":{"citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:36c405a7d87e07250644dd2ad6b1b9d3bbd280a16b0074537ff73f62e51de166","observation_id":"1d85fd7d-9c03-4eaf-86c4-f5e85b0a433e","resolution":{"observed_at":"2026-08-06T19:17:29.967187Z","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":"2026-08-06T19:17:29.686208Z","title":"doi: 10.18653/v1/2023.emnlp-main.884","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:29.686208Z"},"links":{"citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:dea5a47b0c9e1a7102d1779ede0c3dbb743c59389d1bee2d2a02a9896999d1a6","observation_id":"6f6d0a3e-721d-4daf-8505-6efb7b24a9f5","resolution":{"observed_at":"2026-08-06T19:17:29.686208Z","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":"2026-08-06T19:17:30.487994Z","title":"Tay, Y ., Dehghani, M., Bahri, D., and Metzler, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:30.487994Z"},"links":{"citing_paper":"/paper/2507.06085"},"observation_digest":"sha256:22cd4bc8f7452d681b9c7075c99004163f9b612cde8e2e04ea1076aa3f748303","observation_id":"f45d8bdb-71fe-44c6-9671-b4cc993351c2","resolution":{"observed_at":"2026-08-06T19:17:30.487994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.06085","last_updated":"2025-07-09T09:59:12Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T11:16:31.502122Z","submitted_at":"2025-07-08T15:24:27Z","title":"A Survey on Prompt Tuning"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":12},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2507.06085."}