{"as_of":"2026-08-07T10:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ef4ef6cd9bd4ca6c287ac3fb542019a19fb10cc81009369ab0d5ff145af33693","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:48:30.509741Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2509.00305/citation-record","integrity":"/paper/2509.00305/integrity","json":"/paper/2509.00305/citation-record.json","paper":"/paper/2509.00305"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:48:32.004598Z","title":"Enhancing remote sensing vision-language models for zero-shot scene classification","venue":null,"work_id":"bba89773-25a5-4b77-945f-94bc6f2eddc0","year":2025},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:28.722156Z"},"links":{"citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:3835396b7e8c66cd368673b5f3bd625dd31373c3b4365a488d7604706de50974","observation_id":"2da3b428-e1ac-4f70-ac59-0800e52ba6b1","resolution":{"observed_at":"2026-08-05T13:48:32.206109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1808.06670","last_updated":"2019-02-22T18:38:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-08-20T19:52:51Z","title":"Learning deep representations by mutual information estimation and maximization","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.06670","snapshot_observed_at":"2026-08-05T13:48:28.953578Z","title":"Learning deep representations by mutual information estimation and maximization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:28.953578Z"},"links":{"cited_paper":"/paper/1808.06670","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:41ecfd8e3840e38a9eb54886b1e80af62f68b3e5cc3b7af142cb5ef3181a5f52","observation_id":"24f38bea-f5c5-4c00-b8fc-b0106d60a007","resolution":{"observed_at":"2026-08-05T13:48:28.953578Z","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":"2026-08-05T13:48:31.736613Z","title":"Prototype rectification for few-shot learning","venue":null,"work_id":"9c8e1f73-3ca4-4244-a5b6-dc07a52d53c2","year":2020},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:29.261184Z"},"links":{"citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:e8f9c33b99ab11c374b5a7d730fe5d09e7e7f0da68fa857acd66957ba65fe215","observation_id":"f0c537f6-bf74-470e-991c-490a791f15bd","resolution":{"observed_at":"2026-08-05T13:48:31.869903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1306.5151","last_updated":"2013-06-21T14:31:57Z","snapshot_observed_at":"2026-07-06T03:16:28.287173Z","submitted_at":"2013-06-21T14:31:57Z","title":"Fine-Grained Visual Classification of Aircraft","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1306.5151","snapshot_observed_at":"2026-08-05T13:48:29.592343Z","title":"Fine-grained visual classification of aircraft.arXiv preprint arXiv:1306.5151,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:29.592343Z"},"links":{"cited_paper":"/paper/1306.5151","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:7b9224150eb972d55fc372dcd03138107891479ddac1b9852cf93c88d43133b3","observation_id":"3e44494b-f2d6-4c9e-b0d8-79642299abb9","resolution":{"observed_at":"2026-08-05T13:48:29.592343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1212.0402","last_updated":"2012-12-03T14:45:31Z","snapshot_observed_at":"2026-07-06T03:01:10.229407Z","submitted_at":"2012-12-03T14:45:31Z","title":"UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1212.0402","snapshot_observed_at":"2026-08-05T13:48:29.817814Z","title":"Ucf101: A dataset of 101 human actions classes from videos in the wild","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:29.817814Z"},"links":{"cited_paper":"/paper/1212.0402","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:f99678a24c342054c7535cd286b0aa66d8e52730afec75a7c131db48644c3fff","observation_id":"d1a52e7a-5d28-4c5f-b64c-ded406ef0921","resolution":{"observed_at":"2026-08-05T13:48:29.817814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07558","last_updated":"2023-04-19T04:28:24Z","snapshot_observed_at":"2026-07-06T14:05:06.502938Z","submitted_at":"2022-10-14T06:29:22Z","title":"DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07558","snapshot_observed_at":"2026-08-05T13:48:30.068805Z","title":"Dylora: Parameter efficient tuning of pre-trained models using dynamic search-free low-rank adaptation.arXiv preprint arXiv:2210.07558,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:30.068805Z"},"links":{"cited_paper":"/paper/2210.07558","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:6e4b28638a6cc7a5582d5c0e28b06734d201c41f80a84c3fc8cf6391db5f6dbd","observation_id":"f85716ac-fc1c-4a4b-9f23-b659933e5abe","resolution":{"observed_at":"2026-08-05T13:48:30.068805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10512","last_updated":"2023-12-20T20:56:14Z","snapshot_observed_at":"2026-07-06T15:05:16.471478Z","submitted_at":"2023-03-18T22:36:25Z","title":"AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10512","snapshot_observed_at":"2026-08-05T13:48:30.321841Z","title":"Adalora: Adaptive budget allocation for parameter-efficient fine-tuning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:30.321841Z"},"links":{"cited_paper":"/paper/2303.10512","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:755d49a2dd3b5f849b2808044ec38cc30c4a23bfdfef9a6a4edfa02dccd87df5","observation_id":"eff55632-9910-4faf-876c-ce191620e4d0","resolution":{"observed_at":"2026-08-05T13:48:30.321841Z","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":"2026-08-05T13:48:31.445936Z","title":"Bolded values indicate highest accuracy","venue":null,"work_id":"af1b33b4-455c-4015-8cf6-9e5b5fb8fc3f","year":2019},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:30.509741Z"},"links":{"citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:6a851678f947ca6f87eb7e5becd926a2bcacffbcb58e1fe1f8e37645ba0bcbed","observation_id":"429de730-5aaa-4eff-92dc-b658e5455778","resolution":{"observed_at":"2026-08-05T13:48:31.559256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1907.13625","last_updated":"2020-01-23T09:08:54Z","snapshot_observed_at":"2026-07-06T08:11:34.239342Z","submitted_at":"2019-07-31T17:50:51Z","title":"On Mutual Information Maximization for Representation Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.13625","snapshot_observed_at":"2026-08-05T13:48:29.928805Z","title":"On mutual infor- mation maximization for representation learning.arXiv preprint arXiv:1907.13625,","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:29.928805Z"},"links":{"cited_paper":"/paper/1907.13625","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:b1546e2e97ff6a52fa1971372d45e71693e9d87a15339ec41358fe95360d7b9f","observation_id":"efc3de95-4e55-41f6-83b4-6200ca066d95","resolution":{"observed_at":"2026-08-05T13:48:29.928805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07967","last_updated":"2023-10-16T15:52:20Z","snapshot_observed_at":"2026-07-06T15:42:10.592303Z","submitted_at":"2023-06-13T17:59:32Z","title":"One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07967","snapshot_observed_at":"2026-08-05T13:48:28.331440Z","title":"A unifying mutual information view of metric learning: cross-entropy vs","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:28.331440Z"},"links":{"cited_paper":"/paper/2306.07967","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:111d61a605daac6e941e4728310d87d861a5aacd7cae61fc2d649d7a6a0803f8","observation_id":"e8413698-2395-49eb-9478-abb3fdda1aa3","resolution":{"observed_at":"2026-08-05T13:48:28.331440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-07T07:43:16.294957Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-05T13:48:29.123341Z","title":"Lora: Low-rank adaptation of large language models.arXiv preprint arXiv:2106.09685, 2021a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:29.123341Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:d4b9fe753e275899e1ac99da303a1e59b0a1b28841248cee43fc0e13a623e937","observation_id":"b9d2c2ec-b48e-471d-90a7-b08c95b8cbbc","resolution":{"observed_at":"2026-08-05T13:48:29.123341Z","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":"2026-08-05T13:48:32.352350Z","title":"Food-101–mining discriminative components with random forests","venue":null,"work_id":"ca49fb2d-3c2c-470f-96bd-eaed1a06707f","year":2014},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:28.233550Z"},"links":{"citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:7538a980b75bcd99c790ea00f454c51f7645a314e0b0914c225b5c7c740f7a3e","observation_id":"1c9e6068-0d59-4ef7-a5f0-9581c657323c","resolution":{"observed_at":"2026-08-05T13:48:32.416854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1805.10002","last_updated":"2019-02-08T09:30:53Z","snapshot_observed_at":"2026-07-06T06:41:10.311093Z","submitted_at":"2018-05-25T07:00:31Z","title":"Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning","version":5},"cited_work":{"arxiv_id":"1805.10002","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.10002","snapshot_observed_at":"2026-08-05T13:48:30.849488Z","title":"Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning","venue":"cs.LG","work_id":"19985c8f-fb01-4bbf-9a68-2c5998ee11d4","year":2018},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:29.413699Z"},"links":{"cited_paper":"/paper/1805.10002","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:d06b6f3c257756a4193382cd7c153c754dbf13e8523ee0a1e0687584f4f3b355","observation_id":"b1cdc049-a1a3-42e2-9850-3d1aa123d6e0","resolution":{"observed_at":"2026-08-05T13:48:30.936745Z","resolver_source":"local_arxiv","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":"2402.10462","last_updated":"2024-02-16T05:42:17Z","snapshot_observed_at":"2026-07-06T17:31:00.274878Z","submitted_at":"2024-02-16T05:42:17Z","title":"QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10462","snapshot_observed_at":"2026-08-05T13:48:29.723794Z","title":"Qdylora: Quantized dynamic low-rank adaptation for efficient large language model tuning.arXiv preprint arXiv:2402.10462,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:29.723794Z"},"links":{"cited_paper":"/paper/2402.10462","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:668177f7b7660918888c162029c9dcb75bc92ab2d051c10838332ba8eb64f14e","observation_id":"e84e4784-9d74-4d32-bd86-9299ebb692db","resolution":{"observed_at":"2026-08-05T13:48:29.723794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.04232","last_updated":"2020-01-12T16:25:06Z","snapshot_observed_at":"2026-08-07T01:22:24.475726Z","submitted_at":"2019-04-08T17:59:07Z","title":"A Closer Look at Few-shot Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.04232","snapshot_observed_at":"2026-08-05T13:48:28.459376Z","title":"A closer look at few-shot classification","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:28.459376Z"},"links":{"cited_paper":"/paper/1904.04232","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:71a237466bf8bb6524aa759557c8e0c65fb117a735954af93580a3c7e0cb070f","observation_id":"cc6875b8-71f1-42bf-91d1-9c410de1b8a2","resolution":{"observed_at":"2026-08-05T13:48:28.459376Z","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":"2026-08-05T13:48:30.200758Z","title":"Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.arXiv preprint arXiv:2106.10199,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:30.200758Z"},"links":{"citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:f680342def67ee4305c34cc9d133151bdcbfbc1fbbfe619387e07fc7de30661e","observation_id":"71e0fd8a-503f-4695-a504-7025cb3497fb","resolution":{"observed_at":"2026-08-05T13:48:30.200758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.02729","last_updated":"2020-10-21T21:13:04Z","snapshot_observed_at":"2026-07-06T08:19:36.986334Z","submitted_at":"2019-09-06T06:14:03Z","title":"A Baseline for Few-Shot Image Classification","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.02729","snapshot_observed_at":"2026-08-05T13:48:28.591526Z","title":"A baseline for few-shot image classification","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:28.591526Z"},"links":{"cited_paper":"/paper/1909.02729","citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:fc7404a15924584a55bd526862b4d329c669df114dab09163bcf232039f997b5","observation_id":"d6708676-caa0-4e45-993a-691b091aaeb4","resolution":{"observed_at":"2026-08-05T13:48:28.591526Z","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":"2410.05270","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:48:31.149671Z","title":"Fine-tuning clip’s last visual projector: A few-shot cornucopia.arXiv preprint arXiv:2410.05270,","venue":null,"work_id":"2439d072-9ed8-49a9-81d8-cf6ad671fa63","year":null},"citing_paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:28.839876Z"},"links":{"citing_paper":"/paper/2509.00305"},"observation_digest":"sha256:fc6cad40f7e6be3edeae7aedad2f9663f27f94fe216590e9343aae754203fb35","observation_id":"29b34e47-b7d0-4933-bc09-3cb582559cdc","resolution":{"observed_at":"2026-08-05T13:48:31.271138Z","resolver_source":"raw_fallback","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"}}],"paper":{"arxiv_id":"2509.00305","last_updated":"2025-08-30T01:46:31Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T13:48:27.371330Z","submitted_at":"2025-08-30T01:46:31Z","title":"Language-Aware Information Maximization for Transductive Few-Shot CLIP"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":2,"verified_fuzzy":4},"total_outbound_references":18},"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 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2509.00305."}