{"as_of":"2026-08-18T18:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ea431db717e051a773f4ea3227b5574648a85638f02a5e78c5fef13f4fc3e0cc","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":"2026-08-18T06:34:40.430872+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":"2026-08-16T10:11:12.889702Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T20:43:11.842118Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.17521","last_updated":"2024-04-26T16:40:17Z","snapshot_observed_at":"2026-08-16T13:57:29.761262Z","submitted_at":"2024-04-26T16:40:17Z","title":"Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17521","snapshot_observed_at":"2026-08-12T06:02:52.626899Z","title":"Ag2manip: Learning novel manipulation skills with agent- agnostic visual and action representations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19626","last_updated":"2025-03-29T03:46:58Z","snapshot_observed_at":"2026-08-18T07:26:22.413980Z","submitted_at":"2024-11-29T11:23:15Z","title":"GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T06:02:52.626899Z"},"links":{"cited_paper":"/paper/2404.17521","citing_paper":"/paper/2411.19626"},"observation_digest":"sha256:5f3316c27cabce856926c11777e7a6b7fd93660dd7b25f9e551343864924976a","observation_id":"6c019249-49b1-4973-b684-958c3590c318","resolution":{"observed_at":"2026-08-12T06:02:52.626899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17521","last_updated":"2024-04-26T16:40:17Z","snapshot_observed_at":"2026-08-16T13:57:29.761262Z","submitted_at":"2024-04-26T16:40:17Z","title":"Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17521","snapshot_observed_at":"2026-08-11T20:57:12.402274Z","title":"Ag2manip: Learning novel manipulation skills with agent-agnostic visual and action representations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05268","last_updated":"2024-12-06T18:55:09Z","snapshot_observed_at":"2026-08-13T09:52:42.403876Z","submitted_at":"2024-12-06T18:55:09Z","title":"DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T20:57:12.402274Z"},"links":{"cited_paper":"/paper/2404.17521","citing_paper":"/paper/2412.05268"},"observation_digest":"sha256:441e2014be7ec636a4a991a6530434de8d383bad934b729abc1c99bedb5a3827","observation_id":"953520f3-f579-4eb5-adc8-0cba37bbf9e3","resolution":{"observed_at":"2026-08-11T20:57:12.402274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17521","last_updated":"2024-04-26T16:40:17Z","snapshot_observed_at":"2026-08-16T13:57:29.761262Z","submitted_at":"2024-04-26T16:40:17Z","title":"Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations","version":1},"cited_work":{"arxiv_id":"2404.17521","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.17521","snapshot_observed_at":"2026-08-10T20:43:11.842118Z","title":"Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations","venue":"cs.RO","work_id":"6ba77a41-826c-4d5e-9836-43f2a7050ab5","year":2024},"citing_paper":{"arxiv_id":"2501.07468","last_updated":"2025-03-02T16:57:11Z","snapshot_observed_at":"2026-08-16T03:54:22.575337Z","submitted_at":"2025-01-13T16:35:52Z","title":"From Screens to Scenes: A Survey of Embodied AI in Healthcare","version":3},"reference_index":231,"source":"pdf_text","source_observed_at":"2026-08-10T20:43:10.683270Z"},"links":{"cited_paper":"/paper/2404.17521","citing_paper":"/paper/2501.07468"},"observation_digest":"sha256:ce236c5335d92f2213a7eb6fd11346454dbc9ae278200d21bcd1a194cc0bf3fe","observation_id":"e6d65b82-073e-4be5-bd73-9b34dddb4900","resolution":{"observed_at":"2026-08-10T20:43:11.847155Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17521","last_updated":"2024-04-26T16:40:17Z","snapshot_observed_at":"2026-08-16T13:57:29.761262Z","submitted_at":"2024-04-26T16:40:17Z","title":"Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17521","snapshot_observed_at":"2026-08-16T10:11:12.889702Z","title":"Ag2manip: Learning novel manipulation skills with agent-agnostic visual and action representa- tions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.18904","last_updated":"2025-04-26T12:31:04Z","snapshot_observed_at":"2026-08-17T22:01:01.027814Z","submitted_at":"2025-04-26T12:31:04Z","title":"RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T10:11:12.889702Z"},"links":{"cited_paper":"/paper/2404.17521","citing_paper":"/paper/2504.18904"},"observation_digest":"sha256:b841c661bbe81429e77b1e9868c64c6aa7f66789e43840a4d6ca9d0528a5f8f1","observation_id":"ab4969ec-348b-4554-a513-a725a4a36135","resolution":{"observed_at":"2026-08-16T10:11:12.889702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17521","last_updated":"2024-04-26T16:40:17Z","snapshot_observed_at":"2026-08-16T13:57:29.761262Z","submitted_at":"2024-04-26T16:40:17Z","title":"Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17521","snapshot_observed_at":"2026-08-16T00:58:28.370337Z","title":"Ag2manip: Learning novel manipulation skills with agent- agnostic visual and action representations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02388","last_updated":"2025-05-05T06:13:25Z","snapshot_observed_at":"2026-08-18T09:59:23.993414Z","submitted_at":"2025-05-05T06:13:25Z","title":"MetaScenes: Towards Automated Replica Creation for Real-world 3D Scans","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T00:58:28.370337Z"},"links":{"cited_paper":"/paper/2404.17521","citing_paper":"/paper/2505.02388"},"observation_digest":"sha256:24f5b1457b2fb984224294cdcfebb9e924a8ddadd8e3c6eba378bf4b7d6906bd","observation_id":"105b5a45-c5ab-47a8-b911-714897f1c9d8","resolution":{"observed_at":"2026-08-16T00:58:28.370337Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.17521/citation-record","integrity":"/paper/2404.17521/integrity","json":"/paper/2404.17521/citation-record.json","paper":"/paper/2404.17521"},"outbound":[],"paper":{"arxiv_id":"2404.17521","last_updated":"2024-04-26T16:40:17Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T13:57:29.761262Z","submitted_at":"2024-04-26T16:40:17Z","title":"Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.17521."}