{"as_of":"2026-08-11T16:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ee0fb96a13e86f3189554988745cdb6bf19a13b556ca62ace00b547c0178caa8","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T23:35:22.245848Z","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":"2026-08-11T06:34:44.6726+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":"2026-08-02T23:35:21.138302Z","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":"2026-05-10T10:49:56.014420Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.13430","snapshot_observed_at":"2026-08-02T23:35:21.138302Z","title":"Despite this progress, reliable deployment remains challenging because supervision in large scale CXR datasets ∗These authors contributed equally","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.138302Z"},"links":{"cited_paper":"/paper/2602.13430","citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:6a6936aac815c232126dfd8e81208284e0cce0ceddb1e7e1632ab5c0cbbf23ae","observation_id":"38e9bd7d-3421-4a8c-8132-e555eac8b337","resolution":{"observed_at":"2026-08-02T23:35:21.138302Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"cited_work":{"arxiv_id":"2602.13430","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2602.13430","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Handling supervision scarcity in chest x-ray classification: Long-tailed and zero-shot learning","venue":null,"work_id":"d3bc8ee4-e4ff-4500-9601-49f1217226bd","year":2026},"citing_paper":{"arxiv_id":"2604.15555","last_updated":"2026-04-16T22:10:09Z","snapshot_observed_at":"2026-08-11T07:24:32.927821Z","submitted_at":"2026-04-16T22:10:09Z","title":"CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T10:48:31.440624Z"},"links":{"cited_paper":"/paper/2602.13430","citing_paper":"/paper/2604.15555"},"observation_digest":"sha256:898c53e9e34e893db5d95582a927a62b67a80fa0e902a3b9d03ae8833542ea9a","observation_id":"6b321f66-5da8-4419-866c-c5de6b9fb18c","resolution":{"observed_at":"2026-06-02T02:04:14.646145Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2602.13430/citation-record","integrity":"/paper/2602.13430/integrity","json":"/paper/2602.13430/citation-record.json","paper":"/paper/2602.13430"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.13430","snapshot_observed_at":"2026-08-02T23:35:21.138302Z","title":"Despite this progress, reliable deployment remains challenging because supervision in large scale CXR datasets ∗These authors contributed equally","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.138302Z"},"links":{"cited_paper":"/paper/2602.13430","citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:6a6936aac815c232126dfd8e81208284e0cce0ceddb1e7e1632ab5c0cbbf23ae","observation_id":"38e9bd7d-3421-4a8c-8132-e555eac8b337","resolution":{"observed_at":"2026-08-02T23:35:21.138302Z","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":"2026-08-02T23:35:21.204681Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.204681Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:f0a116caed789be2a5256ff0d4a34c65bba3ecfc695a338d5582e34e1028c39f","observation_id":"7f2d00fb-f82c-4ff1-9678-1dbb626938db","resolution":{"observed_at":"2026-08-02T23:35:21.204681Z","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":"2026-08-02T23:35:21.291563Z","title":"Task 1: Long-tailed multi-label classification Task 1 requires multi-label classification over 30 in-distribution findings under a long-tailed label distribution","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.291563Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:8142c53df8b97751b25e1597a5f1fcad6d8beaebda9c0c19cc51578e877c7cf2","observation_id":"7df4fc50-7358-4ddf-8136-6915c7c1e58f","resolution":{"observed_at":"2026-08-02T23:35:21.291563Z","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":"2026-08-02T23:35:21.380947Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.380947Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:aaf98c6c05ea10e2e20e13e861cd1b7cb52e37f627d47956fba4a799edb46066","observation_id":"b45e9f3b-9a6a-4df9-8858-2144a4e0a6ba","resolution":{"observed_at":"2026-08-02T23:35:21.380947Z","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":"2026-08-02T23:35:21.444339Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.444339Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:8ab7a317b469fde6152a22a5ba1aa955ab0a68a1fa43e8b41a6c9973485d245a","observation_id":"1d968836-f82e-4513-9268-e03ae99f430c","resolution":{"observed_at":"2026-08-02T23:35:21.444339Z","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":"2026-08-02T23:35:21.515745Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.515745Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:3c463e12b9e912110162a5f40a0adce12c590709a0afb74c876cbe68f15a38d2","observation_id":"c308454b-8efe-4614-b941-bc954cee4d9b","resolution":{"observed_at":"2026-08-02T23:35:21.515745Z","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":"2026-08-02T23:35:21.547806Z","title":"Deep learning for chest ra- diograph diagnosis: A retrospective comparison of the chexnext algorithm to practicing radiologists,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.547806Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:400548ce4a3552199a09e9480209af002996097a4b171305bbc697f8eeaa5a1d","observation_id":"9c54fc04-8500-4593-af74-91b022a635df","resolution":{"observed_at":"2026-08-02T23:35:21.547806Z","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":"2026-08-02T23:35:21.626194Z","title":"Mimic- cxr-jpg, a large publicly available database of labeled chest radiographs,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.626194Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:3fa46aef78b9dda20e0c97e6b1e4d9adc64585d1b381028d69b76769f9ea2741","observation_id":"b5448b05-e35a-4885-ba9c-7d82c21a0384","resolution":{"observed_at":"2026-08-02T23:35:21.626194Z","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":"2026-08-02T23:35:21.720501Z","title":"Re- visiting the representation learning in long-tailed medi- cal image classification,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.720501Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:5ed6fa53a83ddcc5057d676e2ca45f129c1a704eadd15186e9e09fbdc0eb0b83","observation_id":"bf656043-4bef-477e-8982-0a1655055f03","resolution":{"observed_at":"2026-08-02T23:35:21.720501Z","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":"2026-08-02T23:35:21.855170Z","title":"Towards long-tailed, multi-label disease classification from chest x-ray: Overview of the cxr-lt challenge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.855170Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:3e4c2ba7072d322e8996d7244f4559dbf2ed7880b95d55b850595f339e382505","observation_id":"42e812d4-081b-4cdc-ad03-08c25b52a28a","resolution":{"observed_at":"2026-08-02T23:35:21.855170Z","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":"2026-08-02T23:35:21.940159Z","title":"Cxr-lt 2024: A miccai challenge on long-tailed, multi-label, and zero- shot disease classification from chest x-ray,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:21.940159Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:63ba6630663f6f59790ced35c5d20539b07b2a16919077a3635da8c8985f7814","observation_id":"c868843a-d192-40ef-8e82-4de789cb5f9a","resolution":{"observed_at":"2026-08-02T23:35:21.940159Z","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":"2026-08-02T23:35:22.033341Z","title":"Padchest: A large chest x-ray image dataset with multi-label annotated reports,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:22.033341Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:8912659a301fe556f7e2ba3f967d53c2fc7e526dfee259e3f97e8ef9a63f9706","observation_id":"8b88a712-8e8a-4879-9610-d2f1b2bf68c2","resolution":{"observed_at":"2026-08-02T23:35:22.033341Z","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":"2026-08-02T23:35:22.088431Z","title":"Padchest-gr: A bilingual chest x-ray dataset for grounded radiology report generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:22.088431Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:a280982527a5cd7c1a249b29f8d8cd5c2626f0baa715c28269f27b49892d5bd7","observation_id":"8411561c-0533-4f53-8106-1d8f1f07f416","resolution":{"observed_at":"2026-08-02T23:35:22.088431Z","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":"2026-08-02T23:35:22.138037Z","title":"Convnext v2: Co-designing and scaling con- vnets with masked autoencoders,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:22.138037Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:34c56aa360bf0c97a6ccb3c29c71d9dc5a837ee7628a043f8040f115448f3c88","observation_id":"65613563-6bb5-4404-b1bd-4a83b3d76b19","resolution":{"observed_at":"2026-08-02T23:35:22.138037Z","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":"2026-08-02T23:35:22.188845Z","title":"Residual attention: A simple but ef- fective method for multi-label recognition,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:22.188845Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:88c0837df368771c68268376175cfa9a0594d3e31a7ca03c5232c19eadecc730","observation_id":"3b8286a7-7353-4755-beac-59e5617aadb7","resolution":{"observed_at":"2026-08-02T23:35:22.188845Z","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":"2026-08-02T23:35:22.243847Z","title":"A textbook remedy for domain shifts: Knowledge pri- ors for medical image analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:22.243847Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:c61f563c73e4ecc307f4a05662eeeb52ec77f80b89a194fc5d993a744ca3c8a8","observation_id":"7af5f5e9-7eb7-447a-bb91-12fff887184b","resolution":{"observed_at":"2026-08-02T23:35:22.243847Z","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":"2026-08-02T23:35:22.245848Z","title":"Vindr-cxr-vqa: A visual question answering dataset for explainable chest x- ray analysis with multi-task learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T23:35:22.245848Z"},"links":{"citing_paper":"/paper/2602.13430"},"observation_digest":"sha256:0fd3dda79bbb433b18505dc9e675583804310a9d653071902eb2b63912fbd5cb","observation_id":"8740e8df-92db-4ddf-8139-d6aed6a4c412","resolution":{"observed_at":"2026-08-02T23:35:22.245848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.13430","last_updated":"2026-02-23T08:05:53Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T23:35:20.930315Z","submitted_at":"2026-02-13T20:07:34Z","title":"Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":17},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2602.13430."}