{"as_of":"2026-08-07T08:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5653e75144736fec06c966f17c770e0a733167b516b78ecfa244b95d6bac234f","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T17:10:36.209152Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2604.09535/citation-record","integrity":"/paper/2604.09535/integrity","json":"/paper/2604.09535/citation-record.json","paper":"/paper/2604.09535"},"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":"2303.08774","doi":"10.1002/tea.20265","metadata_source":"pith","pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"GPT-4 Technical Report","venue":"cs.CL","work_id":"b928e041-6991-4c08-8c81-0359e4097c7b","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:83bd2540f9ace8f9a6d5f809c445d4db987ac9486edde9751e12b109b63e1d77","observation_id":"657edadc-6fc1-448e-8463-36a7c65d30cc","resolution":{"observed_at":"2026-05-11T07:26:02.883943Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03575","last_updated":"2025-07-09T19:35:31Z","snapshot_observed_at":"2026-08-03T00:21:10.886100Z","submitted_at":"2025-01-07T06:55:50Z","title":"Cosmos World Foundation Model Platform for Physical AI","version":3},"cited_work":{"arxiv_id":"2501.03575","doi":"10.48550/arxiv.2501.03575","metadata_source":"pith","pith_arxiv_id":"2501.03575","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cosmos World Foundation Model Platform for Physical AI","venue":"cs.CV","work_id":"a2dba24c-318d-476a-8b21-4289c265810c","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2501.03575","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:be8075b8d044a6d7b796104fd384f7cbad7201e27bd9a5846a0b66cbe726f22a","observation_id":"27c76cd0-51a2-46de-8642-84d9e97de027","resolution":{"observed_at":"2026-05-11T07:26:02.933827Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-11T15:53:29.560535+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T15:53:29.560535+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16609","last_updated":"2023-09-28T17:07:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-28T17:07:49Z","title":"Qwen Technical Report","version":1},"cited_work":{"arxiv_id":"2309.16609","doi":"10.48550/arxiv.2309.16609","metadata_source":"pith","pith_arxiv_id":"2309.16609","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen Technical Report","venue":"cs.CL","work_id":"bb1fd52f-6b2f-437c-9516-37bdf6eb9be8","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2309.16609","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:b33cd014ba1ba6748ac3c1fcbd9a41e9a6e6103a94971fe6900af3be53c6664f","observation_id":"9feef6f0-a550-4787-b49e-17ca44ddb940","resolution":{"observed_at":"2026-05-11T07:26:02.925394Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-15T23:50:15.620681+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-15T23:50:15.620681+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Whisperx: Time-accurate speech transcription of long-form audio.INTERSPEECH 2023","venue":null,"work_id":"3cd72821-4cc6-48c8-918d-2cd262c5f1de","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:25596bab786cf4b5f8119311ea40938879a0a27fc51cb5cbfb77a06fb9374ecd","observation_id":"f4002010-19db-46a4-96d1-fabc41ae8236","resolution":{"observed_at":"2026-05-17T11:44:33.141688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Hot3d: Hand and object tracking in 3d from egocentric multi-view videos","venue":null,"work_id":"eb511e90-5ff8-4b16-9fbe-5a8750aa696c","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:5b34005fd0dc2911da0710694401be8e0a9f8c87605adc80cc4893d219590c1d","observation_id":"4dee1f03-000f-46bb-b481-7bd14398614a","resolution":{"observed_at":"2026-05-17T11:44:33.104169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.00948","last_updated":"2025-05-19T16:21:18Z","snapshot_observed_at":"2026-07-06T15:21:57.592347Z","submitted_at":"2023-05-01T17:09:33Z","title":"Large Linguistic Models: Investigating LLMs' metalinguistic abilities","version":4},"cited_work":{"arxiv_id":"2305.00948","doi":"10.48550/arxiv.2305.00948","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.00948","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Large linguistic models: Analyzing theoretical linguistic abilities of llms","venue":"arXiv (Cornell University)","work_id":"86965a2c-5156-434f-a4bf-10708c2456f3","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2305.00948","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:1e41175a3dd3881f94ba17520d859a9e0a307e04e36d2914fcee71e806395239","observation_id":"7d6462a6-e2f2-4578-bce0-4e5287644624","resolution":{"observed_at":"2026-05-11T07:26:02.888758Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Language models are few-shot learners.NeurIPS","venue":null,"work_id":"9d4ac41a-b470-4dd4-a3b6-40e8ba6b634c","year":2020},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:153b159440fa43da54e6bfc7661504763fece7cd6791bf1cf714f994033ed2de","observation_id":"8760dccb-3244-41ef-80c9-4c4629c60454","resolution":{"observed_at":"2026-05-17T11:44:33.075339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Spatialbot: Pre- cise spatial understanding with vision language models","venue":null,"work_id":"055d3211-3be6-4948-869f-cfd15165dc6c","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:f0a301af118186be84c1be4f5d7c541a6f78deb2237508dc4baf0e2ac76eb0dd","observation_id":"31033389-1cb3-4e05-92e9-f7ab692ef01c","resolution":{"observed_at":"2026-05-17T11:44:33.080920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16821","last_updated":"2024-04-29T20:24:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-04-25T17:59:19Z","title":"How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites","version":2},"cited_work":{"arxiv_id":"2404.16821","doi":"10.48550/arxiv.2404.16821","metadata_source":"pith","pith_arxiv_id":"2404.16821","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites","venue":"cs.CV","work_id":"3714835e-c5a6-4d7e-950c-be44670ed9e6","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2404.16821","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:90dc14f734f7cb3ad6c741b5d14640b923553ee47412c6663dc9ed9f7b7131a9","observation_id":"e8203a76-b6ce-429d-9044-a1b5f23c3b40","resolution":{"observed_at":"2026-05-12T20:58:59.653229Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06261","last_updated":"2025-12-19T14:25:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:36:04Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","version":6},"cited_work":{"arxiv_id":"2507.06261","doi":"10.48550/arxiv.2503.19","metadata_source":"pith","pith_arxiv_id":"2507.06261","snapshot_observed_at":"2026-07-11T03:17:51.364436Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","venue":"cs.CL","work_id":"008df105-2fdd-45d8-857a-8e35868aecb6","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2507.06261","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:4d8f35842f59fdc7e61f2abc952b59be9c0a9c4d7b73e30430e9632e260855a4","observation_id":"9b5b1975-1459-4109-b04a-5820dfb4fd9d","resolution":{"observed_at":"2026-05-11T07:26:02.848194Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"The epic-kitchens dataset: Collection, chal- lenges and baselines.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)","venue":null,"work_id":"4b032038-2024-47a7-8ce5-12766240361d","year":2020},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:a107198525a9a47e187a9ed037ee21bc72183ef60807d421e5728bc9b87e3bf6","observation_id":"78dc214a-cd31-4014-a7a9-26c87605c62f","resolution":{"observed_at":"2026-05-17T11:44:33.110812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.13561","last_updated":"2023-10-01T20:16:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-08-24T20:42:21Z","title":"Project Aria: A New Tool for Egocentric Multi-Modal AI Research","version":3},"cited_work":{"arxiv_id":"2308.13561","doi":"10.48550/arxiv.2308.13561","metadata_source":"pith","pith_arxiv_id":"2308.13561","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Project Aria: A New Tool for Egocentric Multi-Modal AI Research","venue":"cs.HC","work_id":"31d9f2a7-f783-4294-9a2c-0a033b2b15fa","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2308.13561","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:5ddde1387c60bfb150d84c80e5573ae4f25b4f2bffaac54dfae3c21425dcbf3d","observation_id":"e0e2ed24-1869-4cff-a930-89db0b8c0b15","resolution":{"observed_at":"2026-05-15T08:25:20.976522Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Arctic: A dataset for dexterous bimanual hand- object manipulation","venue":null,"work_id":"d51f2d97-cc51-423b-b3a8-702c07148108","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:fef3ba03ac3d23274813a93c16ee1abb0550a99660a373cb224be2f52be88061","observation_id":"d7889a8f-89f3-4b7f-bc3e-ec3d503801fc","resolution":{"observed_at":"2026-05-17T11:44:33.125454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20279","last_updated":"2026-04-21T02:48:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-26T17:56:30Z","title":"VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction","version":5},"cited_work":{"arxiv_id":"2505.20279","doi":"10.48550/arxiv.2505.20279","metadata_source":"pith","pith_arxiv_id":"2505.20279","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction","venue":"cs.CV","work_id":"1b2c1dfb-9d76-4c59-bcfa-8f23e957c138","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2505.20279","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:0d5f94d7f0cb4d74853361d39890bea59cd5f1cbd1ccbbbd88823df7c8fddcd0","observation_id":"208a0fa6-3e3a-41ec-92d0-ee4dfb2f89f6","resolution":{"observed_at":"2026-05-11T07:26:02.915690Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis","venue":null,"work_id":"d51b8c44-17d6-4b0e-8cd3-f36c79444f11","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:eacab1cef1cc00eca8ca26297bb37d5710551860b7caf9a5583f9e6beb9362ab","observation_id":"b7d457f1-e8c1-4cf8-82f1-5aa04d4bdd83","resolution":{"observed_at":"2026-05-17T11:44:33.162627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives","venue":null,"work_id":"1b47efc1-182a-47fe-9a30-fe479fe018b3","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:c0ab0dc365914ada483c7b57b35554798de1dc647240422b71dd036d3f5a2d7a","observation_id":"7daab52e-29e1-448c-8b59-d9c1ede52ba4","resolution":{"observed_at":"2026-05-17T11:44:33.152292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ec484b3f-eded-4d13-91fb-6482d53a1a77","year":null},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:b131d19f160d06c3006467f00536faba769fe9b59aaea2ebd19351bfb539a124","observation_id":"38f7b7be-0374-4609-9fc7-a45b305ab84b","resolution":{"observed_at":"2026-05-17T11:44:33.136233Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.10122","last_updated":"2018-05-09T09:06:27Z","snapshot_observed_at":"2026-07-31T21:36:45.596575Z","submitted_at":"2018-03-27T15:08:55Z","title":"World Models","version":4},"cited_work":{"arxiv_id":"1803.10122","doi":"10.48550/arxiv.1712.00409","metadata_source":"pith","pith_arxiv_id":"1803.10122","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"World Models","venue":"cs.LG","work_id":"07227eee-8445-4c98-bce4-c6a6fd5ed907","year":2018},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/1803.10122","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:86b3d7d6c1f18be2707dc78f0566169f6b08be05d84876036ed41846c137cb84","observation_id":"414dc31b-2da1-47d8-a52f-558e2eed2159","resolution":{"observed_at":"2026-05-11T07:26:02.906360Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.04104","last_updated":"2024-04-17T17:41:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-01-10T18:12:16Z","title":"Mastering Diverse Domains through World Models","version":2},"cited_work":{"arxiv_id":"2301.04104","doi":"10.1126/sciadv.adu2488","metadata_source":"pith","pith_arxiv_id":"2301.04104","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mastering Diverse Domains through World Models","venue":"cs.AI","work_id":"6aeb260f-8c7c-4f9c-b98b-067cd7c59acd","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2301.04104","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:7ae8af929a58f18151f54802e1c889773ae057b5f11d8de8d17cee698bd04e2c","observation_id":"46a35f2f-54f9-4b6f-96ef-6303457d8282","resolution":{"observed_at":"2026-05-11T09:08:22.800194Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.03300","last_updated":"2021-01-12T18:57:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-09-07T17:59:25Z","title":"Measuring Massive Multitask Language Understanding","version":3},"cited_work":{"arxiv_id":"2009.03300","doi":"10.48550/arxiv.2009.03300","metadata_source":"pith","pith_arxiv_id":"2009.03300","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Measuring Massive Multitask Language Understanding","venue":"cs.CY","work_id":"e87ec49a-544b-4ec8-8991-75298c64ff5e","year":2020},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2009.03300","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:3131ee8c9012ac6ea8cc2871bee444714d0d2809bd7cf3faf1a15f5080f7abb5","observation_id":"1fc839ae-28ab-49e8-9558-31d2f0078eac","resolution":{"observed_at":"2026-05-11T07:26:02.862309Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-04T01:08:06.256034+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-04T01:08:06.256034+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Clipscore: A reference-free evaluation metric for image captioning","venue":null,"work_id":"99fd18f1-9f34-492f-942e-e7d30d9e550f","year":2021},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:d34404cdf18cddd11b6c964bbbec12287ff7703c3f2fce1684958f066e0ff50a","observation_id":"32ede190-b4d7-4196-82a1-611e513ba9f3","resolution":{"observed_at":"2026-05-17T11:44:33.119378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Lora: Low-rank adaptation of large language models.ICLR, 1(2):3","venue":null,"work_id":"87e15f97-43c4-4d4c-a38c-5e9eb0da6a3d","year":null},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:983dcc599966988ec72e056016d7a982839a4bed24bc4cb74244a60a6ea6b9f9","observation_id":"ec3c385f-df5a-4c53-aa96-fc38fdd4deca","resolution":{"observed_at":"2026-05-17T11:44:33.084274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Vbench: Comprehensive benchmark suite for video generative models","venue":null,"work_id":"89ad2752-ee85-4a93-885f-5c67648ff16e","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:22bf007ad313e99b55deeabc01a621e284e7957f9fbbe5233740531e7a7de65f","observation_id":"96943507-bddf-412d-9193-ccd3dd7c8236","resolution":{"observed_at":"2026-05-17T11:44:33.090416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Gpt-4o system card.arXiv","venue":null,"work_id":"fc121cb5-3f6a-4091-80fd-ad3a2c2618ea","year":null},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:0d74cccbc03d98c8aff1ac91d9d214f672bf8f886ef052a270a50ff4547625e5","observation_id":"544db916-8110-486f-95f8-86255eada2d0","resolution":{"observed_at":"2026-05-17T11:44:33.107563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Mmtom-qa","venue":null,"work_id":"dca1e593-c829-4765-adbf-828d7e630678","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:ced9baacdd287c7b41a697161fa842e02535af4660db0f2c7080ea7aa3d8a322","observation_id":"02153752-9efb-4c0a-8ed3-ee7bea1f0ce3","resolution":{"observed_at":"2026-05-17T11:44:33.113631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.13414","last_updated":"2026-01-23T18:59:33Z","snapshot_observed_at":"2026-07-06T22:30:07.020487Z","submitted_at":"2025-09-16T18:00:14Z","title":"MapAnything: Universal Feed-Forward Metric 3D Reconstruction","version":3},"cited_work":{"arxiv_id":"2509.13414","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.13414","snapshot_observed_at":"2026-07-09T18:46:26.573653Z","title":"MapAnything: Universal Feed-Forward Metric 3D Reconstruction","venue":"cs.CV","work_id":"cb742a0f-0648-4cb0-904b-180184987f6b","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2509.13414","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:209426f529cce4dd7296c7a9b0e1a291694bddf16b1a4d97a9b0903a60ace16f","observation_id":"c622afef-b892-41be-b966-a61a924274a1","resolution":{"observed_at":"2026-05-12T11:06:15.374425Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Learning instruction-guided manipulation affordance via large models for embodied robotic tasks","venue":null,"work_id":"7933b7c4-1dd9-4a6c-9a83-81007006a4c0","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:302ec0a7a1d7b97501a5a4bd017dc1de2334d627bdb6272df2b2f88345b972c5","observation_id":"a0d68230-df42-460e-9903-0fc0c8cb19fe","resolution":{"observed_at":"2026-05-17T11:44:33.165406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Vila: On pre-training for visual language models","venue":null,"work_id":"013ed60b-6cfb-4652-b842-4ed6dc81c2e3","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:4d0ef2532db5d4d8a6ded056d1abd742e19d38ccb54d096accce05cbcc98820a","observation_id":"e6dfc35c-78d3-4f53-bed9-a586dd0ad284","resolution":{"observed_at":"2026-05-17T11:44:33.160114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Hoi4d: A 4d egocentric dataset for category-level human- object interaction","venue":null,"work_id":"b3f73e37-0d1c-4d68-9991-de077b511e0b","year":2022},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:b775015e95512ddfbafe73b4de609503479b6e92913f5698730e0c8213440881","observation_id":"32180419-207b-463a-a036-041e0fab6138","resolution":{"observed_at":"2026-05-17T11:44:33.157423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13349","last_updated":"2024-02-22T03:37:36Z","snapshot_observed_at":"2026-08-07T04:03:49.639867Z","submitted_at":"2024-02-20T19:53:15Z","title":"Aria Everyday Activities Dataset","version":2},"cited_work":{"arxiv_id":"2402.13349","doi":"10.48550/arxiv.2402.13349","metadata_source":"pith","pith_arxiv_id":"2402.13349","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Aria Everyday Activities Dataset","venue":"cs.CV","work_id":"62d6e2a2-edc5-4646-bdec-650c3321d5b3","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2402.13349","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:fafc601b4e4ecc5c80808c5acef19ee8f2857d5c06d26597c5dd8afa3c15c9e7","observation_id":"a4075463-2472-4e8f-8a1d-dea5b807c022","resolution":{"observed_at":"2026-05-11T07:26:02.961898Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Nymeria: A massive collection of multimodal egocentric daily motion in the wild","venue":null,"work_id":"d24f613a-84a2-4c50-b8c6-f215fab0238e","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:07dfbdb8816e74e836e7e38aea93642450ea068a6a06e14f0c91b7e8d499b343","observation_id":"930e1d1f-3c28-4bd0-8615-15edd59fb0fe","resolution":{"observed_at":"2026-05-17T11:44:33.139026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06435","last_updated":"2024-10-17T01:10:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-12T20:01:52Z","title":"A Comprehensive Overview of Large Language Models","version":10},"cited_work":{"arxiv_id":"2307.06435","doi":"10.48550/arxiv.2307.06435","metadata_source":"pith","pith_arxiv_id":"2307.06435","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Comprehensive Overview of Large Language Models","venue":"cs.CL","work_id":"8b633537-f91b-4c1f-9f24-809d928bc39c","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2307.06435","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:65fee3f07579da972b20474f232e0d4f1f9a400ccd258826601b295e39db24b3","observation_id":"ee0807f4-ac50-4c26-ad3f-e6cbd74a6823","resolution":{"observed_at":"2026-05-19T20:28:39.632097Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.23569","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T15:08:32.389799Z","title":"Egothinker: Un- veiling egocentric reasoning with spatio-temporal cot","venue":null,"work_id":"da89416c-aabd-4c1a-9f49-a4367c850d44","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:bf60f516dc10625b375f458383d17c0c453fa6373b4c572cf6eab16bcd73824f","observation_id":"f88c004e-fb92-43ce-8d59-a18e30500333","resolution":{"observed_at":"2026-05-11T07:26:03.037088Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4f5ee63c-a439-4636-94f1-e45ceb2f1d2f","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:3e0c4582121d7f09f84d909e13d35ce8550e197c1316518bfdc5b9dfaa39f46b","observation_id":"52c39fbf-30b1-4662-81b4-c1d36c95d834","resolution":{"observed_at":"2026-05-17T11:44:33.116411Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.19061","last_updated":"2025-03-30T02:44:43Z","snapshot_observed_at":"2026-08-06T12:09:24.017980Z","submitted_at":"2025-01-31T11:48:22Z","title":"EgoMe: A New Dataset and Challenge for Following Me via Egocentric View in Real World","version":2},"cited_work":{"arxiv_id":"2501.19061","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.19061","snapshot_observed_at":"2026-07-10T23:27:38.802496Z","title":"EgoMe: A new dataset and challenge for following me via egocentric view in real world","venue":"cs.CV","work_id":"6ee3089d-c861-4972-ad69-b5fa838ae3b3","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2501.19061","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:f61d9a70d4cdc57348322f4820be7db639d4d1778f8ab8887f3ef95205533c24","observation_id":"b87a0ede-6762-4d60-8f6a-193514cec17f","resolution":{"observed_at":"2026-05-11T07:26:02.867274Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Improving language understanding by genera- tive pre-training.OpenAI Blog","venue":null,"work_id":"2814d3f5-5299-49bc-9efa-c70b6e317e31","year":2018},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:5e782529fbcb801f15552b1effe24d68327e49cdcdcdc62b69a4618b95ab2abd","observation_id":"72ad2633-813c-442a-b356-a0d9ac0f1d64","resolution":{"observed_at":"2026-05-17T11:44:33.130910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Language models are unsuper- vised multitask learners.OpenAI blog, 1(8):9","venue":null,"work_id":"6cd8af4d-adf5-4bad-bac8-ec6c94a38351","year":2019},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:4668750b9580e8711d2b1350bb391d41f8701d234f3506090303de107fc381d9","observation_id":"a43b82a5-b2d6-4352-a69d-2bfe796bd90b","resolution":{"observed_at":"2026-05-17T11:44:33.128083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"As- sembly101: A large-scale multi-view video dataset for un- derstanding procedural activities","venue":null,"work_id":"1ce7745b-43b5-4082-a009-49aa57f3483d","year":2022},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:d0773c8949624003128acd8843629dc64f5ad4f24370ab99f00c17da0380bb3f","observation_id":"3b195d00-ae75-4078-96b1-d1848fe1a41e","resolution":{"observed_at":"2026-05-17T11:44:33.093813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Alfred: A benchmark for interpreting grounded instructions for everyday tasks","venue":null,"work_id":"b2fd9969-f3f1-4b40-8ccb-0255e7a6f4f7","year":2020},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:df89c2465d983819ce621e27b4c8de6fbe9aa85d2fbe04dc682991b60e1fbec8","observation_id":"65fe553b-455d-4628-bf07-3f01a64899db","resolution":{"observed_at":"2026-05-17T11:44:33.101190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Efm3d: A benchmark for measuring progress towards 3d egocentric foundation models","venue":null,"work_id":"9e560f58-f882-44c2-8914-20a30d50d95b","year":null},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:4028a891353a9c26abab96d3adfa087ad91aeb0ec4ff4a4435fb44b6bbb50dfc","observation_id":"2e142b49-0894-4b60-a6a8-d17081fe1bef","resolution":{"observed_at":"2026-05-17T11:44:33.154766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":"2312.11805","doi":"10.1038/nrn2888","metadata_source":"pith","pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemini: A Family of Highly Capable Multimodal Models","venue":"cs.CL","work_id":"83f7c85b-3f11-450f-ac0c-64d9745220b2","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:7db6f8b2be8bf56f54d512b5f0f43745d05cb3a4139713bc30bd2d8f7018c810","observation_id":"397e1ecd-05bb-41ec-b676-23766698af3a","resolution":{"observed_at":"2026-05-11T07:26:02.901350Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21809","last_updated":"2025-08-13T09:21:11Z","snapshot_observed_at":"2026-08-06T12:26:01.183840Z","submitted_at":"2025-07-29T13:43:35Z","title":"HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels","version":2},"cited_work":{"arxiv_id":"2507.21809","doi":"10.48550/arxiv.2507.21809","metadata_source":"pith","pith_arxiv_id":"2507.21809","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hunyuanworld 1.0: Generating immersive, explorable, and interactive 3d worlds from words or pixels","venue":"cs.CV","work_id":"c6acc052-25de-49cf-90fc-d23468f99e8d","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2507.21809","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:290d7ab4c24b8e2c4428ac84c2a4fd0315477131caf4b4ff7d6b7a2f7a0b5e03","observation_id":"b13c4a06-7126-4b56-97a8-a4f6181fb2e8","resolution":{"observed_at":"2026-05-11T07:26:03.070430Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-10T21:18:51.924462+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T21:18:51.924462+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Qwen2.5: A party of foundation models","venue":null,"work_id":"a41a4236-0c6d-4a82-9dde-447d0be62da4","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:30a06374e5c4a19905fee5dac0178a8c29b1e870c4e430fc7ed677713dc3b46e","observation_id":"6641e772-2282-4696-a90f-1106b1f0c038","resolution":{"observed_at":"2026-05-17T11:44:33.149761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":"2302.13971","doi":"10.48550/arxiv.2302.13971","metadata_source":"pith","pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLaMA: Open and Efficient Foundation Language Models","venue":"cs.CL","work_id":"c018fc23-6f3f-4035-9d02-28a2173b2b9d","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:d779874cc359f24ed0d6f15efab50aa1bbac48b796edf0ae681970c3cc275e5c","observation_id":"fca732f4-3f72-4293-83c6-c291d285f7d1","resolution":{"observed_at":"2026-05-11T07:26:03.003548Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-01T11:08:05.851253+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T11:08:05.851253+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-02T11:57:18.735747Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":"2307.09288","doi":"10.24963/ijcai.2025/706","metadata_source":"pith","pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","venue":"cs.CL","work_id":"68a5177f-d644-44c1-bd4f-4e5278c22f5d","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:79611b8129bdc63de7a1d982f0a7f8092e94adba7bee4e65f0f88967a2d20e3e","observation_id":"7986250c-84ea-4278-be33-05952f9fdebe","resolution":{"observed_at":"2026-05-11T07:26:02.999343Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-26T08:25:43Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","version":2},"cited_work":{"arxiv_id":"2503.20314","doi":"10.1109/19.492748","metadata_source":"pith","pith_arxiv_id":"2503.20314","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","venue":"cs.CV","work_id":"ad3ebc3b-4224-46c9-b61d-bcf135da0a7c","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2503.20314","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:4aa208617e6099960f3e5436057058c5df574d622792d5cf7a2615d33fa321f0","observation_id":"cc1b678c-c2f3-43e8-900e-d4861c400bb2","resolution":{"observed_at":"2026-05-11T07:26:03.022662Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06843","last_updated":"2025-03-11T16:48:26Z","snapshot_observed_at":"2026-07-06T18:28:33.795339Z","submitted_at":"2024-06-10T23:25:19Z","title":"HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction","version":4},"cited_work":{"arxiv_id":"2406.06843","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.06843","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ho-cap: A capture system and dataset for 3d reconstruction and pose tracking of hand-object interaction","venue":null,"work_id":"5d9bc9d7-655d-45dc-9afb-cad065cfbcd8","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2406.06843","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:1b9f605133b3e65a738a4ae1d3b479cad865bd7f361cefbacd8bec780afa22e6","observation_id":"af5f07d0-8af3-4fac-9a74-ade7a7a10eca","resolution":{"observed_at":"2026-05-11T07:26:02.982744Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.18265","last_updated":"2025-08-27T14:39:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-25T17:58:17Z","title":"InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency","version":2},"cited_work":{"arxiv_id":"2508.18265","doi":"10.48550/arxiv.2508.18265","metadata_source":"pith","pith_arxiv_id":"2508.18265","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency","venue":"cs.CV","work_id":"b8f5e260-fff5-444e-bcf5-2c42cfefd83d","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2508.18265","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:d559631ce36f1e16ffd2a6794de629df1fff8028a224c74f7f5ad110d6e088b1","observation_id":"7eacaf7d-d8a5-4fbf-95f8-f178bb4e633d","resolution":{"observed_at":"2026-05-11T07:26:02.966641Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Holoassist: an egocen- tric human interaction dataset for interactive ai assistants in the real world","venue":null,"work_id":"1d50b629-7404-4ed7-9af7-2c42d5525c07","year":2023},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:5e96ecd79cba956eaee982299fcfecb9f8c5d0baf47e64c5d63760af8495dcc4","observation_id":"3e0d7721-a653-4668-8059-1b4dce19af90","resolution":{"observed_at":"2026-05-17T11:44:33.122272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":"2411.08380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-04T04:09:35.541046Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation","venue":null,"work_id":"9385c471-7a88-43fb-99d9-fd117dabd96d","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:06b59b448e1ae1d84aa2fe1d5686a227488ab56f1bae89ca35327ee36df2fcf8","observation_id":"ff58e91a-20bb-474b-8274-95c618a83ef0","resolution":{"observed_at":"2026-05-11T07:26:02.978634Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Emergent abilities of large language models.TMLR","venue":null,"work_id":"705b1083-986d-4c89-b9a3-33b6de81c70e","year":2022},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:ecba38119c3a9867045092de0b9273657495d333659e9b5685f30ab78a36addc","observation_id":"004652fe-0ca4-43e2-8e47-149983a178ee","resolution":{"observed_at":"2026-05-17T11:44:33.133608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-15T12:35:42Z","title":"Qwen2 Technical Report","version":4},"cited_work":{"arxiv_id":"2407.10671","doi":"10.18653/v1/2024.naacl-long.246","metadata_source":"pith","pith_arxiv_id":"2407.10671","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen2 Technical Report","venue":"cs.CL","work_id":"a1857881-ab9b-4b80-9b5f-9ae4b5c2566d","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:97cc3e974c2a6663db2c33a8d6dbfb402c58f160bbf85e1997c5317ff8e00a76","observation_id":"b994b36b-7019-4dbf-8b54-1d26f87492b8","resolution":{"observed_at":"2026-05-11T07:26:02.954235Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14171","last_updated":"2025-07-02T21:00:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-18T18:59:54Z","title":"Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces","version":2},"cited_work":{"arxiv_id":"2412.14171","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.14171","snapshot_observed_at":"2026-07-04T06:29:37.915954Z","title":"Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces","venue":"cs.CV","work_id":"bbaf0f51-258a-4d79-b5a4-5b1e9120b2c0","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2412.14171","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:9b162d81a1dbd8d3d876b5a0956216604a35e421af901cc211687c43f144c422","observation_id":"56f5bd5e-78a9-4022-9552-32c34ef9e1eb","resolution":{"observed_at":"2026-05-11T07:26:02.950620Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Thinking in space: How multimodal large language models see, remember, and recall spaces","venue":null,"work_id":"0300e097-6e0f-4339-b3af-13fe28f02fa2","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:ab4d3e2a91e4532e4e634d68da9cb5a879c954070411f70aab656043da41ed39","observation_id":"58751abc-d3bf-41ce-abb2-96eb0188ecad","resolution":{"observed_at":"2026-05-17T11:44:33.147117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Spatial mental modeling from limited views","venue":null,"work_id":"63960d5c-61ae-40dc-bacc-5be7bed14bc9","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:abaf5b1aa6603fb88513be036ec475c2030ca483e6ac0fbfd81b70f4fc6075a8","observation_id":"d66c23b2-7f7e-43f5-bad7-5d7ac243fed7","resolution":{"observed_at":"2026-05-17T11:44:33.077969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Mmmu: A massive multi-discipline multi- modal understanding and reasoning benchmark for expert agi","venue":null,"work_id":"657a594c-1d4a-495c-93d6-6a12ca864778","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:10ac353adef670128b6ee370830491e19f5e2c7a784840d12a33a24d64ba8f20","observation_id":"86de0ca1-d7c0-452b-9be0-326dc16bc7bd","resolution":{"observed_at":"2026-05-17T11:44:33.097487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.18135","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T17:56:25.556592Z","title":"World-in-world: World models in a closed-loop world","venue":null,"work_id":"d4fadcbc-8645-49fa-8453-d804810c3428","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:9d311a3f54d46658ae1138e37d6f48911620d19c548659c1062044dc555a8d2b","observation_id":"0172b597-2fcf-43b8-8965-0b3e065b0291","resolution":{"observed_at":"2026-05-11T07:26:02.970620Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Unveiling linguistic regions in large language models","venue":null,"work_id":"c5f402c4-857c-4a44-8fdf-bcdecfae836e","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:546ae4d052c546736b905497779fbf21b4e1ebb53ad01a8b4da2e60b8154a1aa","observation_id":"bb7d7609-cef3-4a10-b99e-f846d142ebbe","resolution":{"observed_at":"2026-05-17T11:44:33.144177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10479","last_updated":"2025-04-19T03:47:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-14T17:59:25Z","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","version":3},"cited_work":{"arxiv_id":"2504.10479","doi":"10.48550/arxiv.2504.10479","metadata_source":"pith","pith_arxiv_id":"2504.10479","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","venue":"cs.CV","work_id":"fe8637aa-12bc-4434-8d36-9f57b5eebcbe","year":2025},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2504.10479","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:9378689ec41cc6d419ba62abd0582c7cb858165a280b237fcd94221f7de2303c","observation_id":"a1a1e1dd-b613-4393-a272-528598d96f63","resolution":{"observed_at":"2026-05-11T07:26:03.027707Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-20T07:54:09.017512+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T07:54:09.017512+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Turn left","venue":null,"work_id":"01cc7ef9-06bc-48c6-a528-dde7375b81db","year":null},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:de960bdee0a77e9c2d3e0011dcb8f0b5a3d02d003bf03b25af417ad02e5ad285","observation_id":"6ab23f31-8a3b-48bb-a6df-aeb71756d70c","resolution":{"observed_at":"2026-05-17T11:44:33.087388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":28,"verified_fuzzy":30},"total_outbound_references":60},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2604.09535."}