{"as_of":"2026-08-10T05:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83b20400d84b87c2735c26d2b5ea44ba9a6e922700827b4cc9fbafa326749c57","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":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":14,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:17:20.429643Z","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":"2026-07-01T08:55:35.848576Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":"2406.20095","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-07-01T08:55:35.848576Z","title":"Llara: Supercharging robot learning data for vision- language policy","venue":null,"work_id":"43cfbab9-c300-4c4b-b779-5d9fe11bca1a","year":2024},"citing_paper":{"arxiv_id":"2412.10345","last_updated":"2025-06-05T21:26:08Z","snapshot_observed_at":"2026-08-02T17:44:41.340688Z","submitted_at":"2024-12-13T18:40:51Z","title":"TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies","version":3},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-05-15T18:27:22.760982Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2412.10345"},"observation_digest":"sha256:bf8f618779dc6392a975e7a4b9b39ec2e8b11c06307ff6e27c0b50379e2f3c80","observation_id":"3e0679f6-fe2e-46cf-811d-578cd346f1f0","resolution":{"observed_at":"2026-05-15T18:27:22.961511Z","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":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":"2406.20095","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-07-01T08:55:35.848576Z","title":"Llara: Supercharging robot learning data for vision- language policy","venue":null,"work_id":"43cfbab9-c300-4c4b-b779-5d9fe11bca1a","year":2024},"citing_paper":{"arxiv_id":"2504.16054","last_updated":"2025-04-22T17:31:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-22T17:31:29Z","title":"$\\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-22T18:02:23.305313Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2504.16054"},"observation_digest":"sha256:0d8eeed6b32e6ea03853a9790454d79994829007de60f7a13dea86c89deb7266","observation_id":"729510c9-4d9a-4b2f-adcf-1e77007432be","resolution":{"observed_at":"2026-05-22T18:05:00.942249Z","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":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":"2406.20095","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-07-01T08:55:35.848576Z","title":"Llara: Supercharging robot learning data for vision- language policy","venue":null,"work_id":"43cfbab9-c300-4c4b-b779-5d9fe11bca1a","year":2024},"citing_paper":{"arxiv_id":"2505.03233","last_updated":"2025-08-27T03:43:58Z","snapshot_observed_at":"2026-08-07T00:53:01.614001Z","submitted_at":"2025-05-06T06:59:28Z","title":"GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-17T20:55:52.109166Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2505.03233"},"observation_digest":"sha256:63e33dad227872575f1076448541d61627cfe4310ee25b9910c382dafc6d882d","observation_id":"4397c5d7-e6be-4a5c-be4c-5cea1876cd69","resolution":{"observed_at":"2026-05-17T20:55:52.308698Z","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":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-08-07T04:17:20.429643Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11261","last_updated":"2025-06-12T20:04:31Z","snapshot_observed_at":"2026-08-07T12:49:19.052077Z","submitted_at":"2025-06-12T20:04:31Z","title":"Gondola: Grounded Vision Language Planning for Generalizable Robotic Manipulation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T04:17:20.429643Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2506.11261"},"observation_digest":"sha256:605b194608ea59f40b3dbe6c0717c3a7e9490adeb6ac08fe733d8519ffd8dcf7","observation_id":"75f983ac-1b50-4cba-a53f-e394bf2ae2e4","resolution":{"observed_at":"2026-08-07T04:17:20.429643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-08-07T00:31:31.810526Z","title":"Llara: Supercharging robot learning data for vision-language policy.arXiv preprint arXiv:2406.20095, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13679","last_updated":"2025-06-16T16:34:20Z","snapshot_observed_at":"2026-08-07T13:45:40.850146Z","submitted_at":"2025-06-16T16:34:20Z","title":"ROSA: Harnessing Robot States for Vision-Language and Action Alignment","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:31.810526Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2506.13679"},"observation_digest":"sha256:03883c5ed32a8c8d6c9717f5a3deb156006ef131ed7cc3051faa27842eeaac8d","observation_id":"a53aae7b-3c62-416e-9a3a-fc5a03f3ecc1","resolution":{"observed_at":"2026-08-07T00:31:31.810526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":"2406.20095","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-07-01T08:55:35.848576Z","title":"Llara: Supercharging robot learning data for vision- language policy","venue":null,"work_id":"43cfbab9-c300-4c4b-b779-5d9fe11bca1a","year":2024},"citing_paper":{"arxiv_id":"2507.16815","last_updated":"2025-09-18T16:26:53Z","snapshot_observed_at":"2026-08-03T17:16:24.219569Z","submitted_at":"2025-07-22T17:59:46Z","title":"ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-19T03:18:14.655384Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2507.16815"},"observation_digest":"sha256:1d794bdacb22b0e340a014bb5cc1efb0d713b01e7e121e3c2dbe3a0fae0a1ee6","observation_id":"a9b8c9db-7b49-4d3f-9596-8cbfc9cd56f6","resolution":{"observed_at":"2026-05-19T03:22:00.993224Z","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":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-08-05T20:35:45.229247Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10257","last_updated":"2025-08-14T00:51:36Z","snapshot_observed_at":"2026-08-09T19:01:56.593721Z","submitted_at":"2025-08-14T00:51:36Z","title":"Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T20:35:45.229247Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2508.10257"},"observation_digest":"sha256:31be810f9a9ce69846ad6e501f40b733e30dbafe0ffff1d3c82b91bd11551de7","observation_id":"ba8f0adb-a275-4338-97da-3f5b21f15c60","resolution":{"observed_at":"2026-08-05T20:35:45.229247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-08-05T20:38:42.017846Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10259","last_updated":"2025-08-14T00:57:58Z","snapshot_observed_at":"2026-08-08T01:00:17.824912Z","submitted_at":"2025-08-14T00:57:58Z","title":"Leveraging OS-Level Primitives for Robotic Action Management","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T20:38:42.017846Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2508.10259"},"observation_digest":"sha256:d61d75cce564b798103f7564e69607abf2400bd529d65c96cd23b0ff3d7570c6","observation_id":"820bb12e-1f65-4484-be89-d4cdcccc75e4","resolution":{"observed_at":"2026-08-05T20:38:42.017846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-08-04T08:14:36.362519Z","title":"Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.22067","last_updated":"2026-05-29T17:43:25Z","snapshot_observed_at":"2026-08-06T06:21:50.480419Z","submitted_at":"2025-10-24T23:04:26Z","title":"Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T08:14:36.362519Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2510.22067"},"observation_digest":"sha256:3ede1961ef1bd8827272148c2ff68b7378a1f4f5e0f309976bb41f6200cce973","observation_id":"f7c9ead3-b030-400f-8aee-7eb155274e66","resolution":{"observed_at":"2026-08-04T08:14:36.362519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":"2406.20095","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-07-01T08:55:35.848576Z","title":"Llara: Supercharging robot learning data for vision- language policy","venue":null,"work_id":"43cfbab9-c300-4c4b-b779-5d9fe11bca1a","year":2024},"citing_paper":{"arxiv_id":"2601.07060","last_updated":"2026-04-04T05:08:38Z","snapshot_observed_at":"2026-08-08T17:47:58.330839Z","submitted_at":"2026-01-11T21:00:58Z","title":"PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-16T15:05:21.907878Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2601.07060"},"observation_digest":"sha256:a7fceeb6520d684366cf736acf08b48c0615cacfe626029af95be2621598bdb9","observation_id":"71892b4f-5d44-4bbd-8b10-3e9442d87add","resolution":{"observed_at":"2026-05-16T15:08:01.899949Z","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":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":"2406.20095","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-07-01T08:55:35.848576Z","title":"Llara: Supercharging robot learning data for vision- language policy","venue":null,"work_id":"43cfbab9-c300-4c4b-b779-5d9fe11bca1a","year":2024},"citing_paper":{"arxiv_id":"2602.20231","last_updated":"2026-04-09T04:26:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-02-23T18:41:41Z","title":"UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-15T20:18:31.988002Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2602.20231"},"observation_digest":"sha256:e4e6922dd5d2946ada8a66e21684a451de1b320595bc601e767b031a4c2010fa","observation_id":"cadb8f72-5be7-4eb7-adef-8cb59a76fab2","resolution":{"observed_at":"2026-05-15T20:20:17.570990Z","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":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-08-02T21:12:11.543924Z","title":"Llara: Su- percharging robot learning data for vision-language policy,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.543924Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:5a46227d713587b108d59c718ea21eea00493a8178380fd66febf0d2cc319aee","observation_id":"ebb8ebe2-0691-4b39-87ec-73ad9f9ad08c","resolution":{"observed_at":"2026-08-02T21:12:11.543924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":"2406.20095","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-07-01T08:55:35.848576Z","title":"Llara: Supercharging robot learning data for vision- language policy","venue":null,"work_id":"43cfbab9-c300-4c4b-b779-5d9fe11bca1a","year":2024},"citing_paper":{"arxiv_id":"2606.30686","last_updated":"2026-06-28T14:03:57Z","snapshot_observed_at":"2026-08-02T00:28:44.079969Z","submitted_at":"2026-06-28T14:03:57Z","title":"Position: Vision-Language-Action Models Cannot Be Verified to Perform Physical Reasoning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-01T06:56:45.197407Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2606.30686"},"observation_digest":"sha256:442b7dbeec8c1fe214c7dd5a9f0cb8fca386250592f5568b69d9352c0e2157c6","observation_id":"ce5cd47a-2a7d-4675-8bcd-d2334895f69a","resolution":{"observed_at":"2026-07-01T08:55:35.850102Z","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":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-08-04T19:45:34.906408Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01851","last_updated":"2026-08-03T07:58:35Z","snapshot_observed_at":"2026-08-07T23:22:57.641630Z","submitted_at":"2026-08-03T07:58:35Z","title":"Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills","version":1},"reference_index":140,"source":"pdf_text","source_observed_at":"2026-08-04T19:45:34.906408Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2608.01851"},"observation_digest":"sha256:e27a140bf88925c1f62fa58c3ac9f4d10c2689ea62b6e719a477a27b369c4198","observation_id":"36f4c4ad-b2f7-4f5e-bc6e-7bbb2afe7bcf","resolution":{"observed_at":"2026-08-04T19:45:34.906408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.20095/citation-record","integrity":"/paper/2406.20095/integrity","json":"/paper/2406.20095/citation-record.json","paper":"/paper/2406.20095"},"outbound":[],"paper":{"arxiv_id":"2406.20095","last_updated":"2025-01-30T17:34:37Z","latest_version":3,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2406.20095."}