{"as_of":"2026-08-21T12:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7e8716310d42fc0c2856b6b47120e29ea2de89f1a850b03d5001c6334918f686","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.04711/citation-record","integrity":"/paper/2607.04711/integrity","json":"/paper/2607.04711/citation-record.json","paper":"/paper/2607.04711"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T14:46:33.337742Z","title":"In: CVPR (2009) 4, 5","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:9ff35e2c183e22867538f7e446a761abbaaee79a60fe65d2ea740ef621175834","observation_id":"68a51482-7143-42d2-a9d0-c8b25d60afa4","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: ICLR (2021) 2, 4, 5","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:3d0576bd950404878ad308bbe3c198e3b15e20d33db1b6d43a5dd30072fe3dd8","observation_id":"cfb47de7-409f-47c1-8396-2d66edd882a0","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"arXiv (2023) 9","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:a447090eb2c503b4cf8a41c444982f67378c67b82762b62d5af90c41bf25035d","observation_id":"69cf13bd-f4cc-4742-8fb3-186e667c7470","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: ICCV (2021) 2, 3, 4, 5, 6, 7","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:6d19eafaa5efda45d461c35d850796b6f1cc5b0b36092c6ea46789b6a0c463b6","observation_id":"8c18fba3-f65d-49c0-a4b0-2deb03c450c7","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: ICML (2015) 9","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:2684c605205557ce32728bdd45c3339c797a3b31e55c08106237ce65fd5f277b","observation_id":"1b0d037c-df02-40c6-95a8-6ebcacef1e5d","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: ICLR (2017) 9","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:d5e84b39fcbdef7d4e2a29d0dc1bba22f9256f969b11905a57a95b7ff165f5a1","observation_id":"886300da-7ff6-4b9e-83ed-c6f74c317760","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: NeurIPS (2024) 1, 2, 3, 6","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:b9f3581af61b610436684b8c6f3c51b16878164b2a67570514c42ce71d3fd90d","observation_id":"42811a6d-455f-4a32-b9ec-9c1e17e43b3f","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"NeurIPS (2015) 10","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:24f1566e03a8450605e1bdd0b77bfd631eb1beebf929773fc422073214b7907e","observation_id":"e5470423-08b1-4ec5-a395-84e3a76beffd","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"Technical report (2009) 2","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:2391c152bf5e6401ee2d9d267a927682cba9caab6eca1cb76f15d588482f6775","observation_id":"30ed684d-d608-47e1-9ddc-5266a92f4303","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: CVPR (2023) 7","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:3a80c764bb36fa585116b7bc9560f8e1d48d211fa4a19b99d41c4ea9ee3334dd","observation_id":"8078ea4b-6023-43ec-a97c-14b441533ff8","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: CVPR (2022) 7","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:0c6cb4de5f98612521948a22c5f276182a587109ed87e8a424b5900fefd67d01","observation_id":"21970750-5626-446e-9bf5-b0984ef3df61","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"arXiv (2013) 9","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:793697a56ecd2f570a8fedc93815d7e602d7d6c19afb231cfc3bc2b4d2cb5b6e","observation_id":"2918786b-d299-4592-adfa-5d3706e37be7","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: Signal and Data Processing of Small Targets (1990) 9","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:5cfd9153cc29db3ef34f73f12ff90bb18f27fc5b238b5ff4fb51530457cd9e05","observation_id":"a0a00ca8-44ba-4d06-ab30-850b56398f1e","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: CVPR (2023) 3, 6","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:d5e4e3697cf3e7bd2558cb32f90974f681027a2edc0a41cdfefd7767d2333d4f","observation_id":"98d6058e-e919-4bd6-9b4f-b61c3c4b251c","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:ec0606dbbd9cf4523e23692005960ec6c33395b9de05f230bd91f90490263c34","observation_id":"00e6ff33-1a69-4e7e-8bcc-6a028816d303","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"NeurIPS (2023) 1","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:c162353b5cc8cb64c01cedc6e3f35dbec574769c23ba47faa5feecd163a3d7d9","observation_id":"54ead6d6-fc2c-4e30-9162-42b4e1cbe329","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: ECCV (2022) 1, 3, 6","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:b0d3a9ead324938620dde2dc982afa881dd0e108d8ea742255cfeeea76df105d","observation_id":"ac4b20e8-335f-4e56-ab50-ce174feedb7d","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: CVPR (2022) 3, 6","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:b5477033bcf17e7bce05ce4adf074cc3f3093390aca51129364a0e540780258b","observation_id":"d93bb628-b0c4-4237-a937-fde1543ed3eb","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","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":"2026-07-11T14:46:33.337742Z","title":"In: ICCV (2023) 1","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-11T14:46:33.337742Z"},"links":{"citing_paper":"/paper/2607.04711"},"observation_digest":"sha256:45aefce3501702f81ddfd6351fb6d97892d66328b4c40685cac17526593d0534","observation_id":"b9e7f12e-5f09-4170-9fbf-9daf4eb942a1","resolution":{"observed_at":"2026-07-11T14:46:33.337742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.04711","last_updated":"2026-07-06T06:29:21Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-21T07:56:00.731643Z","submitted_at":"2026-07-06T06:29:21Z","title":"Learning Probabilistic Prompt for Continual Learning"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":19},"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 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.04711."}