{"as_of":"2026-08-09T14:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cff6376eb9c9d0d30347f08e3b6f2931057399cc2c45aaf48bab3327dc2d7a3d","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:57:29.734890Z","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":"2026-05-17T14:08:35.291466Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.10546","last_updated":"2025-03-13T16:59:17Z","snapshot_observed_at":"2026-08-07T17:06:27.434649Z","submitted_at":"2025-03-13T16:59:17Z","title":"KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10546","snapshot_observed_at":"2026-08-07T00:57:29.734890Z","title":"Kuda: Keypoints to unify dynamics learning and visual prompting for open-vocabulary robotic manipulation.arXiv preprint arXiv:2503.10546, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12374","last_updated":"2025-06-24T10:01:18Z","snapshot_observed_at":"2026-08-07T07:38:26.007252Z","submitted_at":"2025-06-14T07:11:44Z","title":"AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:29.734890Z"},"links":{"cited_paper":"/paper/2503.10546","citing_paper":"/paper/2506.12374"},"observation_digest":"sha256:93e95745bcf39348d31d50aa4b7558df45e962045fa17118185b19b93e60da54","observation_id":"3423f687-670e-46b2-9fb0-066bba60553d","resolution":{"observed_at":"2026-08-07T00:57:29.734890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10546","last_updated":"2025-03-13T16:59:17Z","snapshot_observed_at":"2026-08-07T17:06:27.434649Z","submitted_at":"2025-03-13T16:59:17Z","title":"KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10546","snapshot_observed_at":"2026-08-06T23:12:03.801070Z","title":"Kuda: Keypoints to unify dynamics learning and visual prompting for open-vocabulary robotic manipulation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.19498","last_updated":"2025-06-24T10:36:15Z","snapshot_observed_at":"2026-08-08T04:14:25.873050Z","submitted_at":"2025-06-24T10:36:15Z","title":"T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:12:03.801070Z"},"links":{"cited_paper":"/paper/2503.10546","citing_paper":"/paper/2506.19498"},"observation_digest":"sha256:664abf4e9b770e4dc4b5854f1e4ffb27d701c433448ac445800c9ed56a104c35","observation_id":"a4dba97b-2dcf-4f91-b96b-a501ea8e86d5","resolution":{"observed_at":"2026-08-06T23:12:03.801070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10546","last_updated":"2025-03-13T16:59:17Z","snapshot_observed_at":"2026-08-07T17:06:27.434649Z","submitted_at":"2025-03-13T16:59:17Z","title":"KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation","version":1},"cited_work":{"arxiv_id":"2503.10546","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.10546","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kuda: Keypoints to unify dynamics learning and visual prompting for open-vocabulary robotic manipulation","venue":null,"work_id":"03ff5215-4c1c-4f14-b40d-dbddaa8cef80","year":2025},"citing_paper":{"arxiv_id":"2507.01925","last_updated":"2025-07-02T17:34:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-02T17:34:52Z","title":"A Survey on Vision-Language-Action Models: An Action Tokenization Perspective","version":1},"reference_index":177,"source":"pdf_text","source_observed_at":"2026-05-17T14:08:34.893876Z"},"links":{"cited_paper":"/paper/2503.10546","citing_paper":"/paper/2507.01925"},"observation_digest":"sha256:15f215931578952bb58f1cb6b2b7078be20ce7c619550a772ac4823164a7f867","observation_id":"7df1d3d5-ce1f-4b84-8569-5f69da9eae34","resolution":{"observed_at":"2026-05-17T14:08:35.294467Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10546","last_updated":"2025-03-13T16:59:17Z","snapshot_observed_at":"2026-08-07T17:06:27.434649Z","submitted_at":"2025-03-13T16:59:17Z","title":"KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10546","snapshot_observed_at":"2026-08-04T20:10:13.682634Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08820","last_updated":"2025-09-10T17:52:09Z","snapshot_observed_at":"2026-08-08T10:18:47.878914Z","submitted_at":"2025-09-10T17:52:09Z","title":"RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical Experimentation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-04T20:10:13.682634Z"},"links":{"cited_paper":"/paper/2503.10546","citing_paper":"/paper/2509.08820"},"observation_digest":"sha256:b8da75f55d17147473df1f02c51c268b347c1926a927166fe6ce3379ba59a617","observation_id":"364b5139-3c87-4685-a83c-e271a3f75ef6","resolution":{"observed_at":"2026-08-04T20:10:13.682634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10546","last_updated":"2025-03-13T16:59:17Z","snapshot_observed_at":"2026-08-07T17:06:27.434649Z","submitted_at":"2025-03-13T16:59:17Z","title":"KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10546","snapshot_observed_at":"2026-07-14T06:33:12.974578Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.11167","last_updated":"2026-07-13T07:03:29Z","snapshot_observed_at":"2026-08-04T12:27:56.327233Z","submitted_at":"2026-07-13T07:03:29Z","title":"Pix2Act: Image-Space Manipulation Policies with Equivariant Augmentation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-14T06:33:12.974578Z"},"links":{"cited_paper":"/paper/2503.10546","citing_paper":"/paper/2607.11167"},"observation_digest":"sha256:fb8cbb28d66ff61eb4a24ccd63185be95df263b065c7b30175db89e0baa657b8","observation_id":"28c4aa26-919f-4c27-828d-44ec48c75638","resolution":{"observed_at":"2026-07-14T06:33:12.974578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.10546/citation-record","integrity":"/paper/2503.10546/integrity","json":"/paper/2503.10546/citation-record.json","paper":"/paper/2503.10546"},"outbound":[],"paper":{"arxiv_id":"2503.10546","last_updated":"2025-03-13T16:59:17Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T17:06:27.434649Z","submitted_at":"2025-03-13T16:59:17Z","title":"KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.10546."}