{"as_of":"2026-08-18T02:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b5ad4905fe18af91f212f45384ffaecac9673766506e0427204073b6743a2be1","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:41:40.614957Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.00075/citation-record","integrity":"/paper/2506.00075/integrity","json":"/paper/2506.00075/citation-record.json","paper":"/paper/2506.00075"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:42.681627Z","title":"Exploring the performance of ros2,","venue":null,"work_id":"9d4cb6ea-afb2-42ef-a1bf-bd849000d739","year":2016},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:39.613851Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:f46c4f6d86c7034692d8725965e5b178a7a945a7c717ab4b7aa6d7f9600b9601","observation_id":"3436ae8d-f8e8-4328-a084-663247debde8","resolution":{"observed_at":"2026-08-07T12:41:42.834611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:42.456939Z","title":"Artificial intelligence, machine learning and deep learning in advanced robotics, a review,","venue":null,"work_id":"4ff4d007-c4b9-4fa8-bf29-821fe489eb9f","year":2023},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:39.662012Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:73b3256b203a038cf07d847e50ff91c6632706c11b00dfa33944e2a7a2fba23a","observation_id":"d942b363-5d0d-42cf-aea4-868aea8ab76b","resolution":{"observed_at":"2026-08-07T12:41:42.516914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:42.324518Z","title":"Soft actor-critic for navigation of mobile robots,","venue":null,"work_id":"6c0bca4d-99ea-409b-946e-a17c4916370a","year":2021},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:39.693956Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:ac93a8aba08777da27ad0d7e56af26193278fd133cb1e203a2aa50261bef1d48","observation_id":"72abcf1f-1e92-4f3d-8d01-a39bbcc31d51","resolution":{"observed_at":"2026-08-07T12:41:42.383183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.07753","last_updated":"2023-05-25T03:50:11Z","snapshot_observed_at":"2026-08-14T13:06:41.783915Z","submitted_at":"2022-09-16T07:17:23Z","title":"Code as Policies: Language Model Programs for Embodied Control","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.07753","snapshot_observed_at":"2026-08-07T12:41:39.811481Z","title":"Code as policies: Language model programs for embodied control,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:39.811481Z"},"links":{"cited_paper":"/paper/2209.07753","citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:1b28bf5f1e656240b3780a76c12bf0efe67bc36d2438058a6ead107323f6772c","observation_id":"174964bd-cc56-4767-842c-0e9ecc5c7569","resolution":{"observed_at":"2026-08-07T12:41:39.811481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12488","last_updated":"2024-12-24T08:58:16Z","snapshot_observed_at":"2026-08-17T09:51:32.374040Z","submitted_at":"2023-08-24T01:17:16Z","title":"GPTEval: A Survey on Assessments of ChatGPT and GPT-4","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12488","snapshot_observed_at":"2026-08-07T12:41:39.869029Z","title":"Gpte- val: A survey on assessments of chatgpt and gpt-4,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:39.869029Z"},"links":{"cited_paper":"/paper/2308.12488","citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:a00dedbeea31b69bc5c689d1617b197c7f6a335b1fae809cf67c3125f3de1116","observation_id":"5820b9ca-88b1-4e0d-9363-771019ced8b2","resolution":{"observed_at":"2026-08-07T12:41:39.869029Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:42.137273Z","title":"V oice based smart robotic arm,","venue":null,"work_id":"96a570f4-6b2d-4c15-9b41-12b096835b70","year":2021},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:39.930866Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:0c6400911a904adc8edbb4cf620eebe66d007dce39a93b3edd8360706e677b44","observation_id":"195126c3-d1a4-4f56-8b28-87a4c97e27c2","resolution":{"observed_at":"2026-08-07T12:41:42.227447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.17979/spudc.9788497497169.360","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Ejemplo de integraci ´on de alexa con un robot ur,","venue":"XL Jornadas de Automática: libro de actas (Ferrol, 4-6 de septiembre de 2019)","work_id":"1e063f8b-cf6f-467b-87fb-935d2ec6efb2","year":2019},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:39.977282Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:3f6846b3efdf3ac99d4b187c80aed1950eab2cf7df001c9267c86553f1bcfece","observation_id":"08a087e5-e7fe-4c6e-a154-3fcb76bb393d","resolution":{"observed_at":"2026-08-07T12:41:40.831543Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.98895","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:41.208177Z","title":"Conversational ai and knowledge graphs for social robot interaction,","venue":null,"work_id":"ffc84e8f-71dd-4274-a029-6c537cc47f65","year":2022},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.029484Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:dab3ff9eb1c15e12d832afeaab733d1c13991767ddc885d274ea4fdbf16cf679","observation_id":"054414a5-bf1d-4540-a9bd-60eaf04b8165","resolution":{"observed_at":"2026-08-07T12:41:41.256137Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:41.975139Z","title":"Usability evaluation of a robotic system for cognitive testing,","venue":null,"work_id":"87d21d3f-7364-4689-b14e-e09802ec8868","year":2019},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.085622Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:4a8b640183aa49f55d1359489bb308f6eda1d01dea6a0ecafd71c730272e3575","observation_id":"70bc65e5-9261-4d03-ad4b-568f3cef72d4","resolution":{"observed_at":"2026-08-07T12:41:42.051935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:41.705209Z","title":"Robotgpt: From chatgpt to robot intelligence,","venue":null,"work_id":"28bb3f80-8ba4-43ee-b1db-ec931cc7edde","year":2023},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.144645Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:2a01a857c916a565ec05976e307d2e912401dc1cbc8c899ff23eecf6ee0302f4","observation_id":"38a47491-35e0-42fa-a5ed-5afbaf7e4feb","resolution":{"observed_at":"2026-08-07T12:41:41.850012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.01691","last_updated":"2022-08-16T16:06:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-04T17:57:11Z","title":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.01691","snapshot_observed_at":"2026-08-07T12:41:40.215017Z","title":"Do as i can, not as i say: Grounding language in robotic affordances,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.215017Z"},"links":{"cited_paper":"/paper/2204.01691","citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:ad6b5d90d23fe64fdfdb7c50beaced1f226340ee19a057a2b1f96484552974c3","observation_id":"052fb765-4852-4631-a7c2-370187f8abe1","resolution":{"observed_at":"2026-08-07T12:41:40.215017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.04721","last_updated":"2023-10-26T01:27:29Z","snapshot_observed_at":"2026-08-16T15:17:23.588429Z","submitted_at":"2023-07-10T17:32:13Z","title":"Large Language Models as General Pattern Machines","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.04721","snapshot_observed_at":"2026-08-07T12:41:40.232622Z","title":"Large language models as general patternmachines,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.232622Z"},"links":{"cited_paper":"/paper/2307.04721","citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:ef04724bfda427a0be7fac056a4a341442e981accfbe4adc69eabb5cc42e7949","observation_id":"813cae08-739f-4857-a6c0-d1ebc9eedb3b","resolution":{"observed_at":"2026-08-07T12:41:40.232622Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:41.583285Z","title":"The rise and potential of large language model based agents: A survey,","venue":null,"work_id":"37587240-13eb-432c-9b84-ac0eb5fd8c9e","year":null},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.273172Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:1fcd500f562e4fcfb3bdbdf3bcb552f09ec0b5b38bb45c54a551704e020cf269","observation_id":"e6a42001-ebc4-4791-b479-0657974abb44","resolution":{"observed_at":"2026-08-07T12:41:41.644521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08782","last_updated":"2024-10-01T08:54:53Z","snapshot_observed_at":"2026-08-17T22:45:34.417683Z","submitted_at":"2023-12-14T10:02:55Z","title":"Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.08782","snapshot_observed_at":"2026-08-07T12:41:40.431905Z","title":"Toward general-purpose robots via foundation models: A survey and meta-analysis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.431905Z"},"links":{"cited_paper":"/paper/2312.08782","citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:9e52255278f331889caa9be93d73167afa9ac67c40e8e597759ed76041cacbe4","observation_id":"980342c9-a8b9-48bc-9433-ecc6154f69e9","resolution":{"observed_at":"2026-08-07T12:41:40.431905Z","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":"2026-08-07T12:41:40.512189Z","title":"Saycanpay: Heuristic planning with large language models using learnable domain knowledge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.512189Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:4bcda86f3b7fbaa43b5211c52d24d0483024b40950e5c1369c0050c23f161eec","observation_id":"1328a0ac-688d-4655-9feb-a679e01e7671","resolution":{"observed_at":"2026-08-07T12:41:40.512189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.19578","last_updated":"2024-10-17T19:31:39Z","snapshot_observed_at":"2026-08-16T22:56:16.354302Z","submitted_at":"2024-03-28T17:04:00Z","title":"Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.19578","snapshot_observed_at":"2026-08-07T12:41:40.573765Z","title":"Keypoint action tokens enable in-context imitation learning in robotics,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.573765Z"},"links":{"cited_paper":"/paper/2403.19578","citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:cf40340ac6159eb69aacb1bceb549424efd3033c8687e1257ca4e28b65a82d16","observation_id":"e045032d-9dc2-4140-b3ae-b288f95f56a3","resolution":{"observed_at":"2026-08-07T12:41:40.573765Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:41.462302Z","title":"Language to rewards for robotic skill synthesis,","venue":null,"work_id":"01940ff5-80af-49f4-8f17-bf0b566772a9","year":null},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.577712Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:ffaa6874d0f16c647ed073107b4cbcf6d426d75886544cac38964b73958cc8df","observation_id":"9af1d8ad-e591-4a6a-9f14-1a837c535185","resolution":{"observed_at":"2026-08-07T12:41:41.528222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2304.0827","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:40.995529Z","title":"Rosgpt: Next-generation human-robot interaction with chatgpt and ros,","venue":null,"work_id":"07dcf4bc-4a66-4578-b469-2775e8c38135","year":2023},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.585413Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:50c340a392304078b50d22763b7db991c5dc066568fdb2dfb40e00cf9c763900","observation_id":"06a072f2-1d5b-4aab-bae3-03037289951e","resolution":{"observed_at":"2026-08-07T12:41:41.086743Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08647","last_updated":"2023-06-16T23:02:21Z","snapshot_observed_at":"2026-08-17T22:16:17.971851Z","submitted_at":"2023-06-14T17:27:10Z","title":"Language to Rewards for Robotic Skill Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.08647","snapshot_observed_at":"2026-08-07T12:41:40.581010Z","title":"Available: https://doi.org/10.48550/arXiv.2306.08647","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.581010Z"},"links":{"cited_paper":"/paper/2306.08647","citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:0f1375866b245f5e2e82e54f001f82e59ba77a64ed50e10c0fe5406e38cb7941","observation_id":"4da63cfb-30ff-4a4d-b92d-d2132704f41c","resolution":{"observed_at":"2026-08-07T12:41:40.581010Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:41:41.315348Z","title":"Rosgpt: Chatgpt interface for ros2 for human-robot interaction,","venue":null,"work_id":"932eae4d-16f8-4516-9e69-6f8e308dbdc1","year":2023},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.614957Z"},"links":{"citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:04bac5de2fdd4c4bc8975877ea6b12013f92c42d07681ec6b2be8b9c6b574d4f","observation_id":"1452bc2c-1052-44da-bf21-0a1bd0f04a41","resolution":{"observed_at":"2026-08-07T12:41:41.373876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07864","last_updated":"2023-09-19T08:29:18Z","snapshot_observed_at":"2026-08-17T06:15:32.510873Z","submitted_at":"2023-09-14T17:12:03Z","title":"The Rise and Potential of Large Language Model Based Agents: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07864","snapshot_observed_at":"2026-08-07T12:41:40.339302Z","title":"Available: https://doi.org/10.48550/arXiv.2309.07864","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:40.339302Z"},"links":{"cited_paper":"/paper/2309.07864","citing_paper":"/paper/2506.00075"},"observation_digest":"sha256:cba42f393722adcff9155ca5dd50ff52727bdb84de79d92c5f6095db745343f2","observation_id":"e49ca7f1-bd83-4f3a-a39b-6bbb77d57ff5","resolution":{"observed_at":"2026-08-07T12:41:40.339302Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.00075","last_updated":"2025-05-29T21:16:14Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-17T16:44:33.592459Z","submitted_at":"2025-05-29T21:16:14Z","title":"Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":9,"verified_exact":2,"verified_fuzzy":9},"total_outbound_references":21},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.00075."}