{"as_of":"2026-08-09T11:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:888ade690462f7b98f37a8a7f4749b6d0f22f32a3690cf13198eb41d83b7a586","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":"2026-08-07T14:22:21.532349Z","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":"2026-07-10T04:16:48.609664Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.14235","last_updated":"2025-04-06T11:46:32Z","snapshot_observed_at":"2026-08-06T13:02:09.613344Z","submitted_at":"2024-06-20T11:57:46Z","title":"Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14235","snapshot_observed_at":"2026-08-07T14:22:21.532349Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19214","last_updated":"2025-08-28T13:09:08Z","snapshot_observed_at":"2026-08-09T00:13:16.184554Z","submitted_at":"2025-05-25T16:21:19Z","title":"Omni-Perception: Omnidirectional Collision Avoidance for Legged Locomotion in Dynamic Environments","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:22:21.532349Z"},"links":{"cited_paper":"/paper/2406.14235","citing_paper":"/paper/2505.19214"},"observation_digest":"sha256:dc668e41c3bc5c3f5410afcea4205e7f5610484c0296e5b1754b9e39aa134a67","observation_id":"0a926140-57eb-48d7-8f7d-ea42996ecc9b","resolution":{"observed_at":"2026-08-07T14:22:21.532349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14235","last_updated":"2025-04-06T11:46:32Z","snapshot_observed_at":"2026-08-06T13:02:09.613344Z","submitted_at":"2024-06-20T11:57:46Z","title":"Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"2406.14235","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.14235","snapshot_observed_at":"2026-07-10T04:16:48.609664Z","title":"Mitigating the human-robot domain discrepancy in visual pre-training for robotic manipulation","venue":"cs.CV","work_id":"d9710353-c9d8-40a3-a146-673285fea96b","year":2024},"citing_paper":{"arxiv_id":"2507.00990","last_updated":"2026-05-13T01:35:48Z","snapshot_observed_at":"2026-07-06T21:50:35.488353Z","submitted_at":"2025-07-01T17:39:59Z","title":"Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations","version":3},"reference_index":137,"source":"pdf_text","source_observed_at":"2026-05-19T06:36:13.144868Z"},"links":{"cited_paper":"/paper/2406.14235","citing_paper":"/paper/2507.00990"},"observation_digest":"sha256:30e3d14ae73d37008afba5bd81a283da2c2b461ba4f1a631f8485406e6d12d77","observation_id":"7fb266b5-3986-4d38-80eb-d97a19dbb3ac","resolution":{"observed_at":"2026-05-19T06:37:07.354213Z","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":"2406.14235","last_updated":"2025-04-06T11:46:32Z","snapshot_observed_at":"2026-08-06T13:02:09.613344Z","submitted_at":"2024-06-20T11:57:46Z","title":"Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"2406.14235","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.14235","snapshot_observed_at":"2026-07-10T04:16:48.609664Z","title":"Mitigating the human-robot domain discrepancy in visual pre-training for robotic manipulation","venue":"cs.CV","work_id":"d9710353-c9d8-40a3-a146-673285fea96b","year":2024},"citing_paper":{"arxiv_id":"2605.01448","last_updated":"2026-05-02T13:55:28Z","snapshot_observed_at":"2026-07-06T23:14:38.379875Z","submitted_at":"2026-05-02T13:55:28Z","title":"Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-09T14:30:00.890117Z"},"links":{"cited_paper":"/paper/2406.14235","citing_paper":"/paper/2605.01448"},"observation_digest":"sha256:700649179aa34361d6f0282e593b8490eecf803ff1aaf6e6e8bcf63e445bcf70","observation_id":"31d43cb6-c249-4058-add2-a8a8983aeb46","resolution":{"observed_at":"2026-05-11T16:56:06.885588Z","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":"2406.14235","last_updated":"2025-04-06T11:46:32Z","snapshot_observed_at":"2026-08-06T13:02:09.613344Z","submitted_at":"2024-06-20T11:57:46Z","title":"Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"2406.14235","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.14235","snapshot_observed_at":"2026-07-10T04:16:48.609664Z","title":"Mitigating the human-robot domain discrepancy in visual pre-training for robotic manipulation","venue":"cs.CV","work_id":"d9710353-c9d8-40a3-a146-673285fea96b","year":2024},"citing_paper":{"arxiv_id":"2607.08639","last_updated":"2026-07-16T15:02:19Z","snapshot_observed_at":"2026-08-07T08:07:21.408216Z","submitted_at":"2026-07-09T16:15:43Z","title":"Native Video-Action Pretraining for Generalizable Robot Control","version":1},"reference_index":128,"source":"pdf_text","source_observed_at":"2026-07-10T04:12:29.153764Z"},"links":{"cited_paper":"/paper/2406.14235","citing_paper":"/paper/2607.08639"},"observation_digest":"sha256:0c0606de14421f6771fb347483fd44efd32f9a52cef587cbdad1db99abd47fed","observation_id":"50c3aa53-088d-45bb-a5b5-2fed7dcd995e","resolution":{"observed_at":"2026-07-10T04:16:48.610895Z","resolver_source":"local_arxiv","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":"2406.14235","last_updated":"2025-04-06T11:46:32Z","snapshot_observed_at":"2026-08-06T13:02:09.613344Z","submitted_at":"2024-06-20T11:57:46Z","title":"Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14235","snapshot_observed_at":"2026-08-02T07:53:46.662056Z","title":"Mitigating the human-robot domain discrepancy in visual pre-training for robotic manipulation.arXiv preprint arXiv:2406.14235, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.08639","last_updated":"2026-07-16T15:02:19Z","snapshot_observed_at":"2026-08-07T08:07:21.408216Z","submitted_at":"2026-07-09T16:15:43Z","title":"Native Video-Action Pretraining for Generalizable Robot Control","version":2},"reference_index":129,"source":"pdf_text","source_observed_at":"2026-08-02T07:53:46.662056Z"},"links":{"cited_paper":"/paper/2406.14235","citing_paper":"/paper/2607.08639"},"observation_digest":"sha256:7ed4197903570212d6b33334dd9c24868ee0bbe9869688c4ba70cc890a86a168","observation_id":"b035e2c3-5749-4510-8a86-82adcba45544","resolution":{"observed_at":"2026-08-02T07:53:46.662056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.14235/citation-record","integrity":"/paper/2406.14235/integrity","json":"/paper/2406.14235/citation-record.json","paper":"/paper/2406.14235"},"outbound":[],"paper":{"arxiv_id":"2406.14235","last_updated":"2025-04-06T11:46:32Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T13:02:09.613344Z","submitted_at":"2024-06-20T11:57:46Z","title":"Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for 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:2406.14235."}