{"as_of":"2026-08-11T18:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:44ae4e251d4731ade5ef305b88ab6f7732e1fe895341f90b503ce4d6836a570e","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:27:21.549756Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2412.20297/citation-record","integrity":"/paper/2412.20297/integrity","json":"/paper/2412.20297/citation-record.json","paper":"/paper/2412.20297"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-10T23:27:21.376274Z","title":"Gpt-4 technical report. arxiv. 2023. doi: 10.48550,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.376274Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:61bd1ac7533fb4734ea317679118715601869c4097374e9d7356ba3f06f1fbf8","observation_id":"148e192d-699c-47e6-b7a4-1a9efdc075d2","resolution":{"observed_at":"2026-08-10T23:27:21.376274Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-10T23:27:21.382121Z","title":"Generative agents: Interactive simulacra of human behavior,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.382121Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:a28973f53d3958015254b1e834aec91e1398831f8eb0dfd8a03ccdfbdc921cda","observation_id":"0fc29229-ee27-463f-a21d-851d6a2979cf","resolution":{"observed_at":"2026-08-10T23:27:21.382121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06886","last_updated":"2025-08-25T02:20:09Z","snapshot_observed_at":"2026-08-06T16:04:56.349386Z","submitted_at":"2024-07-09T14:14:47Z","title":"Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.06886","snapshot_observed_at":"2026-08-10T23:27:21.386918Z","title":"Aligning cyber space with physical world: A comprehensive survey on embodied ai,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.386918Z"},"links":{"cited_paper":"/paper/2407.06886","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:906031005868fbf35a9db679708c76fcf9959094673b1253f883202bdc73e6bd","observation_id":"88beed9c-8629-4924-bdd3-8cf9a5fb1e3e","resolution":{"observed_at":"2026-08-10T23:27:21.386918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15818","last_updated":"2023-07-28T21:18:02Z","snapshot_observed_at":"2026-08-02T16:17:50.621617Z","submitted_at":"2023-07-28T21:18:02Z","title":"RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15818","snapshot_observed_at":"2026-08-10T23:27:21.391885Z","title":"Rt-2: Vision-language- action models transfer web knowledge to robotic control,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.391885Z"},"links":{"cited_paper":"/paper/2307.15818","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:1e04ed55c759f18e226e794cbf798f81d1f7901385a262ad3260fbcd7df9d29d","observation_id":"6322b4e8-2a9f-46d4-ad72-c8609b6e963c","resolution":{"observed_at":"2026-08-10T23:27:21.391885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.06817","last_updated":"2023-08-11T17:45:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-12-13T18:55:15Z","title":"RT-1: Robotics Transformer for Real-World Control at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.06817","snapshot_observed_at":"2026-08-10T23:27:21.397512Z","title":"Rt-1: Robotics transformer for real-world control at scale,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.397512Z"},"links":{"cited_paper":"/paper/2212.06817","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:95c2af16f2ad194ff61de0a9d38df8958ee17b3d9b2cd7ac8048231387542410","observation_id":"c5ce3a26-7ae8-4895-862d-b2639b36251f","resolution":{"observed_at":"2026-08-10T23:27:21.397512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01823","last_updated":"2024-06-01T01:54:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-03-04T08:16:11Z","title":"RT-H: Action Hierarchies Using Language","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01823","snapshot_observed_at":"2026-08-10T23:27:21.402418Z","title":"Rt-h: Action hierarchies using language,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.402418Z"},"links":{"cited_paper":"/paper/2403.01823","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:603d156b8a8e9932eaf1687cc0cbd9b3a0e2f5c566ba7235695d90c7285d3af0","observation_id":"4fa205b8-3062-4c71-8b30-f19a0b189c14","resolution":{"observed_at":"2026-08-10T23:27:21.402418Z","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":"2026-08-10T23:27:22.161870Z","title":"Chatgpt for robotics: Design principles and model abilities,","venue":null,"work_id":"71b4d240-6995-4edd-9fd9-2b2e3e421d1d","year":2024},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.407964Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:10d305921901c92df5f6b78671f53c433963a057b0a0f8027307f7c53ba1971a","observation_id":"52938419-1ddf-485e-a969-4d244c6bbd14","resolution":{"observed_at":"2026-08-10T23:27:22.167313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.412494Z","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":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.412494Z"},"links":{"cited_paper":"/paper/2204.01691","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:4f96b11d9ce279f7e1ae416829f15e6f488ab366e7ca11729e3b11f231629dad","observation_id":"2424e80d-7eb7-4ff1-abd2-31b2792002b1","resolution":{"observed_at":"2026-08-10T23:27:21.412494Z","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":"2026-08-10T23:27:22.146601Z","title":"Proagent: Building proactive cooperative ai with large language models,","venue":null,"work_id":"901eee0b-78bb-42a3-aba3-3152786d6984","year":2023},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.417917Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:01ba25daa0c997ceeedfe5f3f8e46584e2fb6eaca6c3071a4d2d070344d76319","observation_id":"1fc5cedd-650e-4818-8060-903bf5406ee7","resolution":{"observed_at":"2026-08-10T23:27:22.151794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05997","last_updated":"2023-11-30T07:39:48Z","snapshot_observed_at":"2026-08-10T13:34:20.187520Z","submitted_at":"2023-11-10T11:17:58Z","title":"JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.05997","snapshot_observed_at":"2026-08-10T23:27:21.422487Z","title":"Jarvis-1: Open-world multi-task agents with memory-augmented multimodal language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.422487Z"},"links":{"cited_paper":"/paper/2311.05997","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:e001a298a1c4ea1d8a3a8fe9f5e2abc3b64bd667b7f272722eaadeaaf60aaf5c","observation_id":"e35f2d17-2504-4a29-bd3d-1928b2a34646","resolution":{"observed_at":"2026-08-10T23:27:21.422487Z","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":"2026-08-10T23:27:22.130083Z","title":"Towards artificial general intelligence via a multimodal foundation model,","venue":null,"work_id":"e758885d-ddf9-4f27-9f11-ed4751a3e576","year":2022},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.427169Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:971d528729baffed66dc4ea74f809a547687df34cda1817e885e9def38cf7205","observation_id":"e077a943-b962-46a8-802c-1365b8e68fd4","resolution":{"observed_at":"2026-08-10T23:27:22.135344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16294","last_updated":"2024-06-24T03:36:29Z","snapshot_observed_at":"2026-08-08T16:23:06.069416Z","submitted_at":"2024-06-24T03:36:29Z","title":"LangSuitE: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16294","snapshot_observed_at":"2026-08-10T23:27:21.431882Z","title":"Langsuite: Planning, controlling and interacting with large language models in embodied text environments,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.431882Z"},"links":{"cited_paper":"/paper/2406.16294","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:fc19ae501b3cdc4f0bb5d4f3980f495403fae0601ad86cd42c84270f7b141259","observation_id":"9e76a889-8f48-4d98-8759-fdd13af31e7d","resolution":{"observed_at":"2026-08-10T23:27:21.431882Z","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":"2026-08-10T23:27:21.437336Z","title":"Training language models to follow instructions with human feedback,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.437336Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:7555d4d9ff93873f9019362bb771f33180f58b7403ebee831eb3abadd9bf9acb","observation_id":"1db077ec-7ba9-496a-89c8-6d4c7d5dfd1f","resolution":{"observed_at":"2026-08-10T23:27:21.437336Z","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":"2026-08-10T23:27:21.441747Z","title":"Direct preference optimization: Your language model is secretly a reward model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.441747Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:c61ab03a87f4dcb0f1d5a153b17b7f4b10c25a72e350d4f75dc81674e870c350","observation_id":"2547a035-92b6-4b21-875d-8b188504159f","resolution":{"observed_at":"2026-08-10T23:27:21.441747Z","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":"2026-08-10T23:27:21.446180Z","title":"Rrhf: Rank responses to align language models with human feedback,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.446180Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:a5955b3d2df63dd170e5791cc3248a8488a4759497e6920bb702b8f6aca2e53f","observation_id":"073890f0-0f10-4ac4-b795-104839ecca64","resolution":{"observed_at":"2026-08-10T23:27:21.446180Z","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":"2026-08-10T23:27:22.081667Z","title":"Fabric computing: concepts, opportunities and challenges,","venue":null,"work_id":"a0444fcb-9224-477b-802a-651484a65df9","year":2022},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.450613Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:1cdf61d4e9203117cdc8d9e74dee66d9ff8e05f25cdc1e497f38b7baedf28f95","observation_id":"78ae0b51-2282-45ef-8f5c-853f737a0bd7","resolution":{"observed_at":"2026-08-10T23:27:22.086873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:22.064413Z","title":"50th anniversary perspective: Solid-state multistimuli, multiresponsive polymeric materi- als,","venue":null,"work_id":"888966e5-a68c-48ec-ab66-8b6eb4ce017e","year":2017},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.455144Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:c257a2728dc7777d94d6a1d52f66c18cc6df44bf39ad7c641fbea9ae252da079","observation_id":"55bb5e00-6b59-462b-aa33-238d17e1cad8","resolution":{"observed_at":"2026-08-10T23:27:22.070905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:22.049008Z","title":"A review of stimuli-responsive polymers for smart textile applications,","venue":null,"work_id":"e42d72c9-997e-4ac7-a87f-0b6527e30127","year":2012},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.459615Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:1d0337f576e32b5a73249ed1f2d7add1f9adf86ab403abe2c4a3401d874d03aa","observation_id":"a3ae38ea-d813-49f7-bd77-656e9cb4919f","resolution":{"observed_at":"2026-08-10T23:27:22.054038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14591","last_updated":"2024-06-06T04:16:54Z","snapshot_observed_at":"2026-08-04T04:22:19.808056Z","submitted_at":"2023-12-22T10:29:43Z","title":"Reasons to Reject? Aligning Language Models with Judgments","version":4},"cited_work":{"arxiv_id":"2312.14591","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.14591","snapshot_observed_at":"2026-08-10T23:27:21.632177Z","title":"Reasons to Reject? Aligning Language Models with Judgments","venue":"cs.CL","work_id":"dad873f8-8a5e-44d9-900c-78727dcf2707","year":2023},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.463975Z"},"links":{"cited_paper":"/paper/2312.14591","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:110cb9945e00fb9b8a002e06a373d3d1a2084a7d5e4b0374ac3855d6810b5202","observation_id":"4bad6546-ffba-45c4-9c28-8e7258736b57","resolution":{"observed_at":"2026-08-10T23:27:21.640087Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:22.032867Z","title":"Simulation of conductivity made by inkjet-printed silver tracks in e-textiles with different weave patterns,","venue":null,"work_id":"0b240639-5c9f-4cca-b2db-77be8a5c8b3a","year":2017},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.468611Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:5f5f3defbdb043f9524868f23cf5d04e4217a01265426880d0cbef1e440d13c9","observation_id":"e44c7201-a391-4644-b9e8-94c66ee530cc","resolution":{"observed_at":"2026-08-10T23:27:22.038451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:22.016286Z","title":"Phase change materials for smart textiles–an overview,","venue":null,"work_id":"79781ae4-2239-4274-9616-6193108a498a","year":2008},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.473453Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:ecd96678f6444221075c2345f60faca5daecaa77a9385514f2858ee4197b7b1a","observation_id":"c2e7a30a-65a7-4d43-aada-55769e905199","resolution":{"observed_at":"2026-08-10T23:27:22.021434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:22.001004Z","title":"Smart textiles for personalized thermoregulation,","venue":null,"work_id":"06eb9f0b-0a20-4f77-9210-529740364bb5","year":2021},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.478048Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:96393650c87ca8ceb45b87d8c0f847570ee33c7adf6f7f9383120c76d4625881","observation_id":"16ba360a-8e93-4e4a-a306-42699aca04ac","resolution":{"observed_at":"2026-08-10T23:27:22.006077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.985198Z","title":"Uv/nir-light-triggered rapid and reversible color switching for rewritable smart fabrics,","venue":null,"work_id":"4153ab73-802a-4799-a699-4ea0cc36c94f","year":2019},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.482720Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:472bd717503d9d8359b53361016488c191b2a2724f9b35ea3df30022335d1e25","observation_id":"7dc9bc72-f7d8-426d-b78b-3e7f5d61c1d2","resolution":{"observed_at":"2026-08-10T23:27:21.990639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.970502Z","title":"Fabrication of visual textile temperature indicators based on reversible thermochromic fibers,","venue":null,"work_id":"0a00c6de-418a-435a-b0a4-e1b44263c929","year":2019},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.487293Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:8e883bd4e65b9b673f9c61f43d057c186d161d9ebab8f405ca22b19d01216259","observation_id":"7b034bb8-e562-4045-af4d-e43ec7b5f9d6","resolution":{"observed_at":"2026-08-10T23:27:21.975263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.953845Z","title":"Smart color- changing textile with high contrast based on a single-sided conductive fabric,","venue":null,"work_id":"132184d9-0c25-428f-a6ee-62b5ee5ecb2a","year":2016},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.492334Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:a91c24dd007f049823eb3f9437b9b81cf06a24e13f30ff02a734f1bf0e04875a","observation_id":"3fa16d69-29b7-4389-95df-26f7ebfafbeb","resolution":{"observed_at":"2026-08-10T23:27:21.959674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.937802Z","title":"Electrochromic textile displays for personal communication,","venue":null,"work_id":"37c3aa1c-8ec8-4bb2-8a52-b6fac41a3cfe","year":2016},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.497705Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:43e759a9d35ed623070a51a9978a4c9dbf6cc2d6b194070ed4f4ea9d07461505","observation_id":"144fa9de-80fb-4204-952a-df02fe4fed82","resolution":{"observed_at":"2026-08-10T23:27:21.943108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.921959Z","title":"Interactively full-color changeable electronic fiber sensor with high stretchability and rapid response,","venue":null,"work_id":"e4e46d50-c850-40c1-8f5a-04e821a3e381","year":2020},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.503404Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:26a6fd13b583eb89c10d29d569c037b1862756ae6418b78ba689d807f5f0b6b6","observation_id":"573aaff6-ae25-4b7b-894c-d58d3eaeac22","resolution":{"observed_at":"2026-08-10T23:27:21.927592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.904992Z","title":"Imperceptible, designable, and scalable braided electronic cord,","venue":null,"work_id":"cbedd627-e0b6-4dd5-9bc5-2759169511de","year":2022},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.508581Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:acdc94308455cfa2e4e574df816e0cfb3d9a99893e918623643cca462acccfea","observation_id":"a00f74a2-485c-46bb-97bb-79019bc56380","resolution":{"observed_at":"2026-08-10T23:27:21.910987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.884193Z","title":"Recent trends in smart textiles: Wearable sensors and drug release systems,","venue":null,"work_id":"e97cfb7a-02a3-4b87-a6ee-c5f14c4ce642","year":2019},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.514301Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:4aec3885b2f273c34d76985a045945891a41c54bb98a4bbe45a97613aa67c209","observation_id":"23fa192d-4c03-4695-92f2-7a95be00a1bb","resolution":{"observed_at":"2026-08-10T23:27:21.891236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.863025Z","title":"Wearables, implants, and internet of things: the technology needs in the evolving landscape,","venue":null,"work_id":"c7b13424-4f1a-4d3c-b7e1-11e06e09b09f","year":2016},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.519416Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:0dce953170f2041480a7c12846a6e1df6f12e8c6d2c4a29c9f161a13a51a9018","observation_id":"bd47e793-4254-4da8-ba09-1ec07b36e4e6","resolution":{"observed_at":"2026-08-10T23:27:21.868648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.19852","last_updated":"2025-04-04T11:14:49Z","snapshot_observed_at":"2026-08-05T20:02:35.087707Z","submitted_at":"2023-10-30T15:52:15Z","title":"AI Alignment: A Comprehensive Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.19852","snapshot_observed_at":"2026-08-10T23:27:21.524339Z","title":"Ai alignment: A comprehensive survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.524339Z"},"links":{"cited_paper":"/paper/2310.19852","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:aeb51e8f3f4465e40f5bc6c4528d084838a50282785ea2fba765f0dc578182ba","observation_id":"0b657534-6aa5-4ec3-8de4-76857f34da53","resolution":{"observed_at":"2026-08-10T23:27:21.524339Z","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":"2026-08-10T23:27:21.844845Z","title":"Fine-grained human feedback gives better rewards for language model training,","venue":null,"work_id":"4e76f47c-4ffa-480a-96be-21f104a6478b","year":2023},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.530531Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:d616d310bb1ead1cbc82667ddf9b00c2ecd9e5c53b1e4af33848151f341fa1dd","observation_id":"d515b4c6-ae5b-4ab5-9e64-9da0350a7df4","resolution":{"observed_at":"2026-08-10T23:27:21.851084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.04319","last_updated":"2019-09-26T23:57:44Z","snapshot_observed_at":"2026-08-05T17:26:35.920382Z","submitted_at":"2019-08-12T18:09:04Z","title":"Neural Text Generation with Unlikelihood Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.04319","snapshot_observed_at":"2026-08-10T23:27:21.535259Z","title":"Neural text generation with unlikelihood training,","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.535259Z"},"links":{"cited_paper":"/paper/1908.04319","citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:8af21668ad842c8b3761baf9920619b36a732a8723c7c0b1550043cf30d3bfe2","observation_id":"c3f9e0ab-e99c-495b-b3ad-cc0fd727efe7","resolution":{"observed_at":"2026-08-10T23:27:21.535259Z","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":"2026-08-10T23:27:21.827634Z","title":"On the utility of learning about humans for human- ai coordination,","venue":null,"work_id":"d5b914e2-d0bc-431a-8875-5576638e0dab","year":2019},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.540236Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:d0b40861797e72bb605c58cbb4295c53fd6db01fd0c9401e64d8220898ffdc14","observation_id":"b5c76ff5-0609-4b25-837b-7687c808f622","resolution":{"observed_at":"2026-08-10T23:27:21.832846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.810815Z","title":"Wearable 2.0: Enabling human-cloud integration in next generation healthcare systems,","venue":null,"work_id":"5259cdd9-3d19-47fe-a2dc-7cd550facdb1","year":2017},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.545153Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:1678284ada934c9da34482eb91875ade6feba99a381401b948704399ecfba627","observation_id":"2d19cc5f-c934-4b16-b5cf-93d3334f2dbb","resolution":{"observed_at":"2026-08-10T23:27:21.816063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T23:27:21.794142Z","title":"Llama 3 model card,","venue":null,"work_id":"2c231f9b-8d49-4a09-8245-0bcbabe2ad4e","year":2024},"citing_paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T23:27:21.549756Z"},"links":{"citing_paper":"/paper/2412.20297"},"observation_digest":"sha256:acd5298099cf75dc6502b8f4b2970e4311080126aa770629fa1bb403c57682e9","observation_id":"8f5282a9-fea4-4dea-8d06-8289d18a7ecb","resolution":{"observed_at":"2026-08-10T23:27:21.799355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.20297","last_updated":"2024-12-28T23:26:52Z","latest_version":1,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-10T23:21:44.203544Z","submitted_at":"2024-12-28T23:26:52Z","title":"FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":1,"verified_fuzzy":21},"total_outbound_references":36},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2412.20297."}