{"as_of":"2026-08-13T02:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:319435e0a30676a3b1697e7670209b5bcd22694c3e6936316e03d932c291e4c8","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T05:42:04.076359Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2412.17288/citation-record","integrity":"/paper/2412.17288/integrity","json":"/paper/2412.17288/citation-record.json","paper":"/paper/2412.17288"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:42:05.626442Z","title":null,"venue":null,"work_id":"49c407d2-b782-49d4-9e56-8a95cf8112dd","year":2022},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.572801Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:11b39cd2ce5cbc9335dedf433de1330f502e4a84c206332c7e67d5b9b7fb8f3f","observation_id":"cfb0bef8-0dbf-4c90-861f-989e006b4867","resolution":{"observed_at":"2026-08-11T05:42:05.632826Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.599455Z","title":null,"venue":null,"work_id":"0a236c8a-c27f-437b-89d0-9fa88153bb24","year":2018},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.583291Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:d91f5c115e0161e6cee4090db84fb26c605c26c7bfe7a388eb129ce0206cd584","observation_id":"b4f46570-22a9-4108-ac79-eec51888a675","resolution":{"observed_at":"2026-08-11T05:42:05.608438Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.572328Z","title":null,"venue":null,"work_id":"dc35cc90-54a0-4995-ad1a-bd79c8aa14f6","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.598576Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:953b173e707591107f4f06ffd5c722413164c5af461b30fe216a544f9c8399be","observation_id":"e6bdc0a7-4f3a-4131-a07a-a9ae9748a240","resolution":{"observed_at":"2026-08-11T05:42:05.580294Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.543889Z","title":null,"venue":null,"work_id":"98f41f3e-bc65-44c9-b4a0-20f41763e170","year":2021},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.628609Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:3e2cfa4e1e4f5291c92dcf2de772d26e3bd1a39b8b17039223c0e41d950c5c39","observation_id":"f4534534-9b21-4349-9b57-3f5c5a651b06","resolution":{"observed_at":"2026-08-11T05:42:05.551609Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:42:03.636006Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.636006Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:0673fc102ce6b384f0a22bbaa8bdffb3b5511ddc2b6fc4dcbb06d753990d7145","observation_id":"b3f74e76-9e0c-4407-9a6f-e463f198e158","resolution":{"observed_at":"2026-08-11T05:42:03.636006Z","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":"2026-08-11T05:42:05.498404Z","title":null,"venue":null,"work_id":"508863a2-48d5-47d7-bb53-690207e53b97","year":2017},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.641903Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:9b2bf2cc09bdd32aa75eebdf73d88065ba4b3d9611da0db303442afc8a3b19a3","observation_id":"60c0c2b3-69c5-4dd5-af45-bacce8da1c1a","resolution":{"observed_at":"2026-08-11T05:42:05.505260Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.474926Z","title":"S.; Sathyendra, K","venue":null,"work_id":"aeca725f-3677-4326-a8e5-100aa67d6082","year":2017},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.659219Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:29e067416b059db4e4eb715ebf2667a7a3dd75b1eb0ab14524c595ea84b7f7f6","observation_id":"7d2c2094-c71e-4fdf-98ab-e1731d4b312d","resolution":{"observed_at":"2026-08-11T05:42:05.482426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-08T11:58:24.516369Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-11T05:42:03.672257Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.672257Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:cc15ec3d9adb6a20fe335052a53d0f66f43350a42444e9cc1d862c82ac2b28d2","observation_id":"d422be29-cd70-4547-a772-34065aeb41cf","resolution":{"observed_at":"2026-08-11T05:42:03.672257Z","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":"2026-08-11T05:42:05.445230Z","title":null,"venue":null,"work_id":"1e377df1-28f7-4b41-8626-b4a530ed59c6","year":2018},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.681651Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:b7d3e778dc94102be208c07b4f12bad097b9f4a7c76505306e8e5311d88ff9b6","observation_id":"2ea36bda-62d2-40a2-a7a0-027b8d91951f","resolution":{"observed_at":"2026-08-11T05:42:05.452158Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-11T05:42:03.690477Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.690477Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:0571f01c920f0c86160592d6eb5a89f21f80bc85c85b4588d1fbc33ee76a0df1","observation_id":"fecf96a0-f003-417a-8f90-7ee706274d6a","resolution":{"observed_at":"2026-08-11T05:42:03.690477Z","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":"2026-08-11T05:42:05.419089Z","title":null,"venue":null,"work_id":"9906d5ff-6b5c-415c-963c-7b7cef413dea","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.699760Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:ddcfe1c638e37e66e449388c2fe6cfc9e401e2cb729ccbca8ff36247db033dc3","observation_id":"f157ac8a-650c-40b1-a6f7-8553b36b3058","resolution":{"observed_at":"2026-08-11T05:42:05.428719Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.395032Z","title":"P.; Kim, Y.; Han, W.; Herrasti, A.; et al","venue":null,"work_id":"e85cd766-eaad-47d5-871c-1795d252d241","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.706224Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:0e7523f267dc47aaa69e4ba2eca54afa102a3f7b0af4375022296a1927d75fde","observation_id":"952da360-a31e-4d04-b9d1-9abbbf147e80","resolution":{"observed_at":"2026-08-11T05:42:05.405426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.368513Z","title":null,"venue":null,"work_id":"932d840c-28cb-4f01-9804-b92fec90ceb0","year":2022},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.712148Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:67969045b738e41b5e4628ff39bc830f607c6f099fbd20974156cba542029d90","observation_id":"9963869e-d521-4735-8ffa-3ec52e062dbe","resolution":{"observed_at":"2026-08-11T05:42:05.375289Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.340940Z","title":null,"venue":null,"work_id":"f80ac35f-dc55-49b8-884e-ad5b762a01f6","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.717276Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:26d455fce0d8c63dc7f6aa71a8c6b38984ed80646c95a2f7d775849eef738473","observation_id":"8bc62528-05f5-4c95-97e6-5ab20b2444ca","resolution":{"observed_at":"2026-08-11T05:42:05.348488Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.316500Z","title":"J.; Aydin, A.; Anvari, M.; Chakravarthy, A","venue":null,"work_id":"2c8b8d70-10e9-4582-bd45-1d5609ea62ed","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.727850Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:9113a598ba943b14edaa49de810dabba2986fc0d35ebf2d8bc74454ae71c525d","observation_id":"83827ead-6451-4e65-898f-d70d71823fb2","resolution":{"observed_at":"2026-08-11T05:42:05.324391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.282235Z","title":null,"venue":null,"work_id":"401935a3-717a-429b-8777-4f13487c1ac8","year":2018},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.734192Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:508caac94aac8ef8bbed2760a211720421cdefbf4b6102737dfc5efd467d55fe","observation_id":"10b0a7a8-50db-42a7-89fb-8d9c219240bf","resolution":{"observed_at":"2026-08-11T05:42:05.291986Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.246437Z","title":null,"venue":null,"work_id":"13f9ab30-b1e7-43c8-9558-65ad4effe8a1","year":2022},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.742108Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:dd1267704588c3745794af81601bda24ceacf240ec30ecd35ca76a12a7857bca","observation_id":"6b52cd85-54ce-4473-a983-63d805257da2","resolution":{"observed_at":"2026-08-11T05:42:05.253507Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.216273Z","title":null,"venue":null,"work_id":"9f9ef1f8-e79b-46e6-9874-eacd86b19e3e","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.750337Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:a2725250c0addded3833ec786e0cf75cf5227857d6e414b457c6a88ea98f1bb5","observation_id":"538bb3b6-0e07-4be9-9637-3c6c79fcdcbe","resolution":{"observed_at":"2026-08-11T05:42:05.224654Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.03267","last_updated":"2024-03-12T09:01:54Z","snapshot_observed_at":"2026-07-06T14:15:05.596076Z","submitted_at":"2022-11-07T02:24:39Z","title":"Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.03267","snapshot_observed_at":"2026-08-11T05:42:03.756539Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.756539Z"},"links":{"cited_paper":"/paper/2211.03267","citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:ba3029b603c0995f3bec7519ed5bc30b4f3db19ab8c9cbcbd015109d8e6ee2dd","observation_id":"102fb591-67d6-4b2b-bc21-f7c12a2f7b38","resolution":{"observed_at":"2026-08-11T05:42:03.756539Z","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":"2026-08-11T05:42:05.195648Z","title":null,"venue":null,"work_id":"92f99adf-a7b2-471a-a448-1be468d4f9ce","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.764492Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:286ddb215396a62ea97eaec23a2c06fcdbb31db6b7ff8ae02ac1231ed9cc36c2","observation_id":"0bd702d8-0d33-407f-b858-e2871263daa3","resolution":{"observed_at":"2026-08-11T05:42:05.201400Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.174662Z","title":null,"venue":null,"work_id":"e874b32f-8016-4531-b0c9-0de7fe136fa0","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.771430Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:f046e3788c89d288ac5f8d305afaed5454f38556e3d02a7052a18590aad6be26","observation_id":"60d0de8f-5b44-4a2c-9d75-155b92e34205","resolution":{"observed_at":"2026-08-11T05:42:05.180793Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.153970Z","title":null,"venue":null,"work_id":"d5af0a7f-ab27-46a3-a08f-7c1e5d962975","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.778661Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:9532c684cd47779c2caf7d53ec123a7cf4a3a43736d636b7f4b5025f911c0f80","observation_id":"09b7a328-01db-4af3-9c06-dc827465e7cc","resolution":{"observed_at":"2026-08-11T05:42:05.160262Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1712.05474","last_updated":"2022-08-26T17:12:17Z","snapshot_observed_at":"2026-07-06T06:14:28.435222Z","submitted_at":"2017-12-14T23:17:24Z","title":"AI2-THOR: An Interactive 3D Environment for Visual AI","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.05474","snapshot_observed_at":"2026-08-11T05:42:03.784007Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.784007Z"},"links":{"cited_paper":"/paper/1712.05474","citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:992e01f194c9ca6ec02021e55de83c50d9a28eeaa49911cb24b53d4307d52be1","observation_id":"39bbe53f-2065-4bbc-9169-8fa60c692d74","resolution":{"observed_at":"2026-08-11T05:42:03.784007Z","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":"2026-08-11T05:42:05.130086Z","title":null,"venue":null,"work_id":"d5454951-2bfd-48bf-94dc-ba7bbc7ad3fc","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.791400Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:41201cd3e036d618c2aa6fa53885978869d86b9d60a3bbfce406a14b1cf59e48","observation_id":"04c6d1e8-5700-4664-86c1-b23f6295c97f","resolution":{"observed_at":"2026-08-11T05:42:05.138105Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:42:03.801950Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.801950Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:cda92d9d5747fe0beb800c2238c02f406ba2f74e4cc0a877ce7df412afba1417","observation_id":"1f6cca15-c2a5-4b33-b292-176487a2ad91","resolution":{"observed_at":"2026-08-11T05:42:03.801950Z","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":"2026-08-11T05:42:05.083295Z","title":null,"venue":null,"work_id":"addd3aba-88f5-4fdd-90b2-508dfa25d737","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.810358Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:b8d0fed77466909b38cdd63dbafe1f86656933df60e3e4ca9f8aa335f0f374f3","observation_id":"0eb1b094-e347-43cc-a271-205bf9dfa7c4","resolution":{"observed_at":"2026-08-11T05:42:05.090848Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.056884Z","title":"Y.; Chaplot, D","venue":null,"work_id":"6250fd9f-4631-44df-bd46-d87a0198716d","year":2022},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.816603Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:ebe661fbaff435dc47c5fbac9be3a625df4985921d62a0038bbe40c20ef78c15","observation_id":"7ebee993-ab18-41bf-8ec6-50d3a1bb394a","resolution":{"observed_at":"2026-08-11T05:42:05.068472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:05.033998Z","title":null,"venue":null,"work_id":"70add7e8-460d-42bf-b5b9-59ca88aa03b7","year":2022},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.827956Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:62de53bb45de06cdcb8146283f2208fd03a73e5a496c1f8bd8fe371fe3f882df","observation_id":"5f4f4c08-5fc8-4f12-b79e-1cd4e75cabbb","resolution":{"observed_at":"2026-08-11T05:42:05.041009Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.985653Z","title":null,"venue":null,"work_id":"680b1563-e92e-444c-b961-48ebf163f928","year":2021},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.834222Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:a7dc63ef09b7fb47155cc6ae594d9d32334309e4595bd5ba47cee1c97297b917","observation_id":"32b7c905-d290-4ee1-b8ed-f348678fd94e","resolution":{"observed_at":"2026-08-11T05:42:04.994727Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.961567Z","title":null,"venue":null,"work_id":"33baf715-8756-438c-b2e4-6e52a2cd3342","year":2021},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.840861Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:03d6c8e477b2b7890d8d77dd3b00d473cee24906bd18b5bedfb85b855b7416d4","observation_id":"6dca5493-cb5f-497d-959c-82573d501091","resolution":{"observed_at":"2026-08-11T05:42:04.967313Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.931826Z","title":"W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; Krueger, G.; and Sutskever, I","venue":null,"work_id":"397f7f62-b144-4daf-96e7-12e783572afe","year":2021},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.852615Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:b2e3d7260e0a3be362e2acdd5d581a9460703fa177054d1b398ad520c66c320f","observation_id":"d94fdb13-447e-4b48-9b71-e964d347f63e","resolution":{"observed_at":"2026-08-11T05:42:04.942798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:42:03.858277Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.858277Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:ed742bcab49ce04c3cc594609bd500eb411b6923f5c5e42c6b50ad1e2c08a4af","observation_id":"3913dc65-7198-4c1c-bfaf-15f31ca94ab2","resolution":{"observed_at":"2026-08-11T05:42:03.858277Z","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":"2026-08-11T05:42:04.891718Z","title":"S.; Seo, J.; Kim, T.; Choi, J.; and Horowitz, R","venue":null,"work_id":"04a4584d-b683-4444-978e-80bd91feb47a","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.870130Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:d4bf179c9605b6bfc67ca0a76da01531771e24b7fc59be652f0c8091cd027059","observation_id":"b9e87da8-7553-4069-ae5c-081e91383634","resolution":{"observed_at":"2026-08-11T05:42:04.897149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.869234Z","title":null,"venue":null,"work_id":"0ea9362b-0503-4874-8cf3-9abff23da8bd","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.878433Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:6a9a0486fe69a00443f2d5587fdce2b0752cb4ed985c3f1ba0147dc2bb78b55b","observation_id":"6973cfe8-e5f1-48ed-9264-062c8d5663da","resolution":{"observed_at":"2026-08-11T05:42:04.875832Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.835665Z","title":null,"venue":null,"work_id":"e0fbcfeb-2cc2-438d-b8d1-0643784fc48b","year":1996},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.886345Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:87ebbe130282e1df087b27a2ad29db48b4f67b4a85faba36d28e7867b67b09cd","observation_id":"b4fd3db3-3976-4dd0-af32-d8943bafaecf","resolution":{"observed_at":"2026-08-11T05:42:04.845363Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.811448Z","title":null,"venue":null,"work_id":"8781a348-795c-48f6-a097-47e9f552f37f","year":2020},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.901259Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:8bd7ef06d09cf5e513c1d4a8f264809496d6231e343553b3184b5e2b85b78a6e","observation_id":"4f43100e-6860-4c7f-a039-935d0bdded42","resolution":{"observed_at":"2026-08-11T05:42:04.818962Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.774753Z","title":null,"venue":null,"work_id":"daf44c78-0604-43a3-a753-4597bcf19f75","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.908577Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:15ed292a1b4779e9821c2753ad7f153515b66aa12c12f8e174b1c7cf1b9c4c8d","observation_id":"8cc1cfa3-dad5-4b2e-a3ba-08ce4baaf187","resolution":{"observed_at":"2026-08-11T05:42:04.788972Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.752314Z","title":"P.; Bhambri, S.; Kim, B.; Mottaghi, R.; and Choi, J","venue":null,"work_id":"7e79a06b-31af-4fbb-bcf0-4c7d19a3ea5d","year":2021},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.916761Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:659fd2395e0b9b3a27b0f3a4b0a3653f966a03f7444b9843b7b7ab1ab6f9a871","observation_id":"9d204a5f-8cc0-4919-a2ed-b679f776a785","resolution":{"observed_at":"2026-08-11T05:42:04.761504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.715199Z","title":"H.; Kil, J.; Pan, T.-Y.; Sadler, B","venue":null,"work_id":"bdd9f6dd-b689-4346-9f89-823390cb6b22","year":2022},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.927032Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:1e058f4419e0e66b7cd9f3466d1b5e86b8136631393fd8d3a1cd6df02fcc4773","observation_id":"ef2907d7-f9ba-4d14-a634-e59800405beb","resolution":{"observed_at":"2026-08-11T05:42:04.729287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.691742Z","title":"H.; Wu, J.; Washington, C.; Sadler, B","venue":null,"work_id":"6be84d10-d312-4fe4-a4a8-103cc5b1da05","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.934050Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:e1a18e05792ca056f6dec1a6c5b05dbd9a7e88ddd9378944d09c65b4acf6475e","observation_id":"bb9b0ebe-03e7-4b3b-8a7f-7506050effc6","resolution":{"observed_at":"2026-08-11T05:42:04.698175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.671408Z","title":"D.; and Toshev, A","venue":null,"work_id":"11fedc83-4ec6-48c7-829d-9f710b16eedb","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.943263Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:cdfd162e69317029a6ca230cc5538dc0bcf2d1681c8b88a6f3b3d05da1a961d3","observation_id":"df75f345-1d11-4d1c-8b38-11dca52ec45c","resolution":{"observed_at":"2026-08-11T05:42:04.677587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-11T05:42:03.952172Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.952172Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:fff9e7b82d09f4d73410ad408030d540906444ea457ab107183421f1be164d98","observation_id":"8200f63a-3a58-4dcb-87f3-6cc0b2a8b1de","resolution":{"observed_at":"2026-08-11T05:42:03.952172Z","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":"2026-08-11T05:42:04.643610Z","title":null,"venue":null,"work_id":"96cd3b60-f262-4985-8639-ca7d102aebab","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.965086Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:29b7fc7613a66f26f8bd5d52564cce1b757acdc2f599c2473a59a03d86937dc7","observation_id":"102bba23-34f0-4178-b38a-2c4dbe980bd4","resolution":{"observed_at":"2026-08-11T05:42:04.658091Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.613277Z","title":null,"venue":null,"work_id":"80ee9f15-928a-4939-804e-fb40cbaa16cd","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.981984Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:633c79ec09d87b241ad3f2691f32d179361f72c18c6aa9c1ef780e51214d7a5e","observation_id":"23204671-c8e3-4002-abde-ecc7020c35a4","resolution":{"observed_at":"2026-08-11T05:42:04.624416Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.590524Z","title":null,"venue":null,"work_id":"dbed2a87-d3d6-4a60-9e98-a7f6dad3cbbd","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.987943Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:faaa9c65e198ff3ecd04a75e771d590d6ec2712ac48e47b62e31b2b241e0fc06","observation_id":"2108c9ea-b5a5-4eaf-a19e-5bb6e4588db0","resolution":{"observed_at":"2026-08-11T05:42:04.595322Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.566003Z","title":null,"venue":null,"work_id":"03709363-ccff-419c-96e3-49a83026a9a5","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:03.994661Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:0aed3b3312f91adb54e7ef56e06c3bf27b368e4e5f19803cd78973b4bbf874b0","observation_id":"bdf8323b-e8ba-45ec-90ce-ef48c76c7639","resolution":{"observed_at":"2026-08-11T05:42:04.572689Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.535487Z","title":"R.; He, Z.; Sax, A.; Malik, J.; and Savarese, S","venue":null,"work_id":"2c7f38de-7f19-4216-9875-87d183540f9b","year":2018},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:04.002937Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:500f8a3f4919fe315fd5a93d9d51eef508f3291cb0206f25a512e2dc18d874ad","observation_id":"1fd2eb43-9808-4372-8f1d-5ab64e0548aa","resolution":{"observed_at":"2026-08-11T05:42:04.544082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14758","last_updated":"2024-07-20T05:39:28Z","snapshot_observed_at":"2026-08-12T23:18:15.079904Z","submitted_at":"2024-07-20T05:39:28Z","title":"DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control","version":1},"cited_work":{"arxiv_id":"2407.14758","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.14758","snapshot_observed_at":"2026-08-11T05:42:04.186341Z","title":"DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control","venue":"cs.CV","work_id":"2ee7daae-1b5f-4081-8f7a-b4d58fad7fe7","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:04.010550Z"},"links":{"cited_paper":"/paper/2407.14758","citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:f43d74ca4c86a30d974580ce21802a640295311a3e79db1fe590e841815f00d7","observation_id":"9161044b-90ed-45d5-b725-2765472019b7","resolution":{"observed_at":"2026-08-11T05:42:04.201031Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.511007Z","title":null,"venue":null,"work_id":"4bd6b4ed-66c0-4d49-88ef-6c13773022f1","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:04.017869Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:6283b994e786193040b4d17b284c7c9b4b5606c5c57cd52dd3d997129c00c396","observation_id":"2fd5a311-f637-47d3-aa14-701c62c9677d","resolution":{"observed_at":"2026-08-11T05:42:04.516134Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.489927Z","title":null,"venue":null,"work_id":"e8fb2bb9-7134-4794-a961-c9443b662cf0","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:04.024590Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:da977601bc59d95bc0bdd17f178af9636b9aae6fdb51d360d3ba5948d66e1801","observation_id":"0dd35b8e-a1cd-40db-b3af-69d092595da1","resolution":{"observed_at":"2026-08-11T05:42:04.497411Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.01068","last_updated":"2022-06-21T17:04:40Z","snapshot_observed_at":"2026-08-06T03:13:37.403059Z","submitted_at":"2022-05-02T17:49:50Z","title":"OPT: Open Pre-trained Transformer Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.01068","snapshot_observed_at":"2026-08-11T05:42:04.034985Z","title":"V.; et al","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:04.034985Z"},"links":{"cited_paper":"/paper/2205.01068","citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:3dc9ad83f3aec358db8851791303a2c901f1aeacf7c0b3fd3989b9434d462949","observation_id":"68dff726-23c2-41fb-982b-17c2d1e0c951","resolution":{"observed_at":"2026-08-11T05:42:04.034985Z","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":"2026-08-11T05:42:04.467094Z","title":null,"venue":null,"work_id":"aedd7048-c031-42cc-997b-d5b6032052ae","year":2023},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:04.044291Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:8b3fda276593851ac6de9d8c04ed5871e6a533913bb92c504f77fe2dfb8a02fd","observation_id":"3578038b-1eaf-4e87-b637-83fa2c4871be","resolution":{"observed_at":"2026-08-11T05:42:04.473224Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.442175Z","title":null,"venue":null,"work_id":"795831c8-a5da-4208-a85a-9284daccb4f4","year":2024},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:04.050231Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:78f1cfeddcb09ceb48351fdc2f4eb7ba9f9bed9b297be7fbf5df89000524e1e7","observation_id":"de7dde38-c638-4333-aae3-3472769e3b3f","resolution":{"observed_at":"2026-08-11T05:42:04.449833Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T05:42:04.416331Z","title":null,"venue":null,"work_id":"c59e2ffa-2be2-4e33-b128-916f347f3c7e","year":2017},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:04.058473Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:92de29042aed603c2f08c422a69616869d8b7db6973e06dc6d0986fcb81e27a3","observation_id":"9ea09332-90d2-41ac-b14d-fcdbdd87cbee","resolution":{"observed_at":"2026-08-11T05:42:04.426122Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:42:04.063767Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:04.063767Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:88bd2858c49bc378ec03c6e5c575fe272ab9db561aa916f1e6c7007dfb8fc48f","observation_id":"dd93bbc1-3e6d-4c74-80d5-f77f2b7a7c6e","resolution":{"observed_at":"2026-08-11T05:42:04.063767Z","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":"2026-08-11T05:42:04.076359Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-11T05:42:04.076359Z"},"links":{"citing_paper":"/paper/2412.17288"},"observation_digest":"sha256:f610cdbbb8408ca7d9dece6581b6310c7c19898875e538f225a9bc36bec7ea39","observation_id":"99117d26-a286-4c7b-811d-365d01f871bb","resolution":{"observed_at":"2026-08-11T05:42:04.076359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.17288","last_updated":"2024-12-23T05:20:01Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-11T18:51:15.900744Z","submitted_at":"2024-12-23T05:20:01Z","title":"Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":44,"verified_exact":1,"verified_fuzzy":11},"total_outbound_references":56},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2412.17288."}