{"as_of":"2026-08-18T01:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:deb97fa17afc867a62aaebff6f69fed19be41ca73303e5a85b09fde504533b2c","coverage":[{"denominator":102,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-05T11:32:36.356530Z","state":"measured"},{"denominator":106,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":106,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:22:26.670161Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-05-20T20:23:43.267544Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"cited_work":{"arxiv_id":"2604.18543","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.18543","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","venue":"cs.AI","work_id":"bbc513e6-c637-4529-a8ea-bd6d6a71e9f9","year":2026},"citing_paper":{"arxiv_id":"2605.14133","last_updated":"2026-05-18T05:36:27Z","snapshot_observed_at":"2026-07-06T23:25:34.835136Z","submitted_at":"2026-05-13T21:34:08Z","title":"ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-15T05:08:15.750558Z"},"links":{"cited_paper":"/paper/2604.18543","citing_paper":"/paper/2605.14133"},"observation_digest":"sha256:46e4f7f7dce94a08ec98ca896f6ef4e34435d7afcb0eb5ba5e65d1be4aa91e71","observation_id":"3d9fc994-3680-49f0-a8bf-6b98239adb35","resolution":{"observed_at":"2026-05-15T05:09:44.827370Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"cited_work":{"arxiv_id":"2604.18543","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.18543","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","venue":"cs.AI","work_id":"bbc513e6-c637-4529-a8ea-bd6d6a71e9f9","year":2026},"citing_paper":{"arxiv_id":"2605.14133","last_updated":"2026-05-18T05:36:27Z","snapshot_observed_at":"2026-07-06T23:25:34.835136Z","submitted_at":"2026-05-13T21:34:08Z","title":"ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-20T20:19:21.824216Z"},"links":{"cited_paper":"/paper/2604.18543","citing_paper":"/paper/2605.14133"},"observation_digest":"sha256:7bd88d2561187037efc39033f2fee62dd6eb5873f1487a0c09bbcd64f9a65a5c","observation_id":"98b5c3c9-90de-4059-9c5a-926d7ecce04c","resolution":{"observed_at":"2026-05-20T20:23:43.268782Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"cited_work":{"arxiv_id":"2604.18543","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.18543","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","venue":"cs.AI","work_id":"bbc513e6-c637-4529-a8ea-bd6d6a71e9f9","year":2026},"citing_paper":{"arxiv_id":"2605.18583","last_updated":"2026-05-18T16:00:41Z","snapshot_observed_at":"2026-07-06T23:29:29.105126Z","submitted_at":"2026-05-18T16:00:41Z","title":"Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-20T08:59:54.715974Z"},"links":{"cited_paper":"/paper/2604.18543","citing_paper":"/paper/2605.18583"},"observation_digest":"sha256:b50b117963232cdaebfe773fab89a1da53ffdc1957af42d76c31184b0ba27e19","observation_id":"1a9ac0b6-3aa4-4f30-b72c-73caa888225e","resolution":{"observed_at":"2026-05-20T09:03:10.623461Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.18543","snapshot_observed_at":"2026-07-11T13:35:18.900351Z","title":"Clawenvkit: Automatic environment generation for claw-like agents","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.05471","last_updated":"2026-07-06T08:14:02Z","snapshot_observed_at":"2026-08-14T20:52:59.112956Z","submitted_at":"2026-07-06T08:14:02Z","title":"KAT-Coder-V2.5 Technical Report","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-11T13:35:18.900351Z"},"links":{"cited_paper":"/paper/2604.18543","citing_paper":"/paper/2607.05471"},"observation_digest":"sha256:b4614135031a1de5963bd31789306c206cbfe1d87d1b2e7dca4e8d31408566ed","observation_id":"0a12ca37-2869-409f-9ff3-a32a988d8396","resolution":{"observed_at":"2026-07-11T13:35:18.900351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.18543","snapshot_observed_at":"2026-08-11T23:44:24.274786Z","title":"Clawenvkit: Automatic environment generation for claw-like agents.arXiv preprint arXiv:2604.18543,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09096","last_updated":"2026-08-11T02:53:55Z","snapshot_observed_at":"2026-08-18T01:03:38.533207Z","submitted_at":"2026-08-10T03:49:28Z","title":"Evo-Bench: Can Language Models Improve Agent Harness?","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:24.274786Z"},"links":{"cited_paper":"/paper/2604.18543","citing_paper":"/paper/2608.09096"},"observation_digest":"sha256:7deaa55d2236a11783880bf58a753d0cbca580d9999be515aa3789e444e1b127","observation_id":"c0844451-9fff-492a-b04f-81b029573356","resolution":{"observed_at":"2026-08-11T23:44:24.274786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.18543","snapshot_observed_at":"2026-08-14T04:22:26.670161Z","title":"Clawenvkit: Automatic environment generation for claw-like agents.arXiv preprint arXiv:2604.18543,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09096","last_updated":"2026-08-11T02:53:55Z","snapshot_observed_at":"2026-08-18T01:03:38.533207Z","submitted_at":"2026-08-10T03:49:28Z","title":"Evo-Bench: Can Language Models Improve Agent Harness?","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T04:22:26.670161Z"},"links":{"cited_paper":"/paper/2604.18543","citing_paper":"/paper/2608.09096"},"observation_digest":"sha256:94266d7d42fdb02eda03a9c5e951ce7a07c39b2a8238c9e6fec1e29350eeee05","observation_id":"60e17c74-e933-49df-965a-8b850b4db3d5","resolution":{"observed_at":"2026-08-14T04:22:26.670161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.18543/citation-record","integrity":"/paper/2604.18543/integrity","json":"/paper/2604.18543/citation-record.json","paper":"/paper/2604.18543"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.288328Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":"0e3c9ee2-4ed0-4c3c-bb44-a43b749f58d0","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:1c503ba1acfdab03f2ba07ecca12f19c84a9ef538d7ef7570b1d53d2edd4d95e","observation_id":"2c043b1a-6184-47cd-b92a-49e6c7b7c13d","resolution":{"observed_at":"2026-07-05T11:41:03.289871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.290572Z","title":"Uniformer: Unified transformer for efficient spatiotemporal rep- resentation learning","venue":null,"work_id":"848bd88d-e038-4ec3-ac05-7973f9c2bc43","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:2462abe702b21385ad0a0d1bd4daf318744a1c1c9771b801f3c6b5573f3af8ad","observation_id":"6d197c87-4c34-4e70-8d48-c9e86ae5f15a","resolution":{"observed_at":"2026-07-05T11:41:03.291975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.295540Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":"3cd5bf3d-375d-4e8f-ad33-1b9fb85ddbe6","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:ea3415638ee1ca798f6675d3cf2febec08001805f42ea2c9609e3a864c081350","observation_id":"697f2b23-8da1-4f59-8e7a-14e066bcbbad","resolution":{"observed_at":"2026-07-05T11:41:03.296853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.308093Z","title":"Going deeper with image transformers","venue":null,"work_id":"37ac3f9c-b5a9-47ab-8c5b-071009e91cc5","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:665050bf19b69ef3400251acc0fd883aeed9a2869f8defa7b768604575ce484b","observation_id":"c23dd3d2-be1c-494a-8452-96087d6c19f4","resolution":{"observed_at":"2026-07-05T11:41:03.309312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17803","last_updated":"2023-06-01T07:42:15Z","snapshot_observed_at":"2026-08-16T23:33:19.330791Z","submitted_at":"2023-03-31T05:25:32Z","title":"Rethinking Local Perception in Lightweight Vision Transformer","version":5},"cited_work":{"arxiv_id":"2303.17803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17803","snapshot_observed_at":"2026-07-05T11:41:02.802520Z","title":"Rethinking lo- cal perception in lightweight vision transformer","venue":"cs.CV","work_id":"2eea6d09-dfe9-473b-9cff-f89af8222656","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/2303.17803","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:c463061f9e01d489d462257e1eb390b7fd1560b675600261332bae41440f429c","observation_id":"77eb6eba-6a65-4d9b-a024-8f6679877193","resolution":{"observed_at":"2026-07-05T11:41:02.803741Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.15808","last_updated":"2021-03-29T17:58:22Z","snapshot_observed_at":"2026-08-16T18:35:28.619837Z","submitted_at":"2021-03-29T17:58:22Z","title":"CvT: Introducing Convolutions to Vision Transformers","version":1},"cited_work":{"arxiv_id":"2103.15808","doi":null,"metadata_source":"pith","pith_arxiv_id":"2103.15808","snapshot_observed_at":"2026-07-05T11:41:02.785007Z","title":"Cvt: Introducing convolutions to vision transformers","venue":"cs.CV","work_id":"b63e3051-1604-48e7-ad5a-4dda31f3bd80","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/2103.15808","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:30ff5e64b5b434dae2827a66d2cc7deaf8ccd8bd0b70b6561293b7882e0fef37","observation_id":"f0367cbd-7e53-4350-8a75-ec95f82c3a95","resolution":{"observed_at":"2026-07-05T11:41:02.786479Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.439922Z","title":"Cmt: Convolutional neural networks meet vision transformers","venue":null,"work_id":"9115a67a-c1b8-4aaa-b7f1-556ec4e1db5b","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:6b013f58b6488baeeeeab603d19a4db46813abe8a03926e33d49d68ee7306d34","observation_id":"0dbb7ec7-47f4-49f4-808a-f4f20bc79802","resolution":{"observed_at":"2026-07-05T11:41:03.441238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.441893Z","title":"Lite vision transformer with enhanced self-attention","venue":null,"work_id":"81b08b43-e7a0-4207-bfc0-2656b6c220ad","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:58cd74c18ba120b3d84c48b4da5877db0eeb3a365e08eae599ed0e8123298ae1","observation_id":"98497219-ceb1-4cbb-9878-d295ac01a301","resolution":{"observed_at":"2026-07-05T11:41:03.443051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.445305Z","title":"Neighborhood attention transformer","venue":null,"work_id":"208da40e-828c-413e-928e-cbba19a73de6","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:e329fbbf88ac9ac3d9e5d6a957c8c2c40aa8a922fa3ba2183d6db593303aa5e2","observation_id":"73889c52-4af4-4702-847e-c0e1aa2d65c1","resolution":{"observed_at":"2026-07-05T11:41:03.446453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.456971Z","title":"Rmt: Retentive networks meet vision transformers","venue":null,"work_id":"3497ce37-601e-4396-94b4-d9f44833bb18","year":2024},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:0329544c5c44935ac397e666454207d8e029e486420381169053c1030200550e","observation_id":"3760d107-78db-4260-95bf-4588b701f2e9","resolution":{"observed_at":"2026-07-05T11:41:03.458996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.08621","last_updated":"2023-08-09T08:53:08Z","snapshot_observed_at":"2026-08-02T13:21:32.251959Z","submitted_at":"2023-07-17T16:40:01Z","title":"Retentive Network: A Successor to Transformer for Large Language Models","version":4},"cited_work":{"arxiv_id":"2307.08621","doi":"10.48550/arxiv.2307.08621","metadata_source":"pith","pith_arxiv_id":"2307.08621","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Retentive Network: A Successor to Transformer for Large Language Models","venue":"cs.CL","work_id":"5b0449ac-92b0-41f2-8b4f-586c2b5a08b6","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/2307.08621","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:7a0a5b6164e1a6326272d770ccb740cfc6cf72c61ae0703a8af038a739c0cc7d","observation_id":"d1cafb42-483a-4ddd-882b-a5b7cfa83769","resolution":{"observed_at":"2026-07-05T11:41:02.789260Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.386020Z","title":"Train short, test long: At- JOURNAL OF LATEX CLASS FILES","venue":null,"work_id":"795ad306-c266-43d5-8a31-fbdff77fa5b3","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:708dbc986689d8bfc4ff0f7def013de35e36f7c28e7d9bc726d25f6a074d9f6b","observation_id":"ffa27997-15e0-4d98-800b-4b0be8d3c8f8","resolution":{"observed_at":"2026-07-05T11:41:03.387255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.380246Z","title":"Peripheral vision transformer","venue":null,"work_id":"b4e65259-6291-4297-a9c8-74846c2877bf","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:0cca8430a8a479baba7ed1d26f713b5e70f058a67b4c9286557ad45d92b11c67","observation_id":"bd7a6451-bd28-4b7f-83fe-3c85ba725c76","resolution":{"observed_at":"2026-07-05T11:41:03.381372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.451272Z","title":"Cswin transformer: A general vision transformer backbone with cross-shaped windows","venue":null,"work_id":"a70a020c-a8e6-45f0-aa5c-a9192780c921","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:f14e4d4a97b6e9cd81556f9e8638ec2304feffc61aea47de017ef959c1ef8c8d","observation_id":"d0e4ff54-d829-4f72-9daa-0aad12172df5","resolution":{"observed_at":"2026-07-05T11:41:03.452491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.326426Z","title":"Vision trans- former with deformable attention","venue":null,"work_id":"4bab53d0-7959-43fd-b212-060300590c76","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:491dd1f2b3a5a2864dc72740590fad76f7cb6e7c71849fd4a388b51f11adeadd","observation_id":"d35576bb-15f9-4829-94c1-34fa0eb8ada5","resolution":{"observed_at":"2026-07-05T11:41:03.327710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.328365Z","title":"Davit: Dual attention vision transformers","venue":null,"work_id":"8e0152c6-9704-4953-8945-4497cbf1dae3","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:c004a2c59f6f8719f6f4f3bd303e40b9731c6e46c13ab64aef3fd5e3ed0d8140","observation_id":"54f4850d-a641-4c5d-9761-82ba8ebaecc6","resolution":{"observed_at":"2026-07-05T11:41:03.329556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.330412Z","title":"Biformer: Vision transformer with bi-level routing attention","venue":null,"work_id":"2d37cc99-571d-45fd-a156-dc6e16a25b46","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:d3f87a737bf9e0e26a18738f9a950eaac92c3f2246de5e7ed00a3c9eadca962d","observation_id":"050bd3ac-36f0-4570-8e4c-ea9bfc8c3bd9","resolution":{"observed_at":"2026-07-05T11:41:03.331666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.336995Z","title":"A convnet for the 2020s","venue":null,"work_id":"797120e1-732e-438c-bb4d-c127e54c9a94","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:91660753532c40be00be3d5512cf460ffbce774b141955df454965c9e4cae9e2","observation_id":"197d10f1-de03-48de-b179-ae1c5b97312d","resolution":{"observed_at":"2026-07-05T11:41:03.338153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.424325Z","title":"Semantic equitable clustering: A simple, fast and effective strategy for vision trans- former","venue":null,"work_id":"a0dc01b3-9393-4c66-8f4c-6429d21c10a7","year":2025},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:7d194c00d9cf678fffab0b801e190cf5c823bd429a1fa0b0c997512c0e5ce93e","observation_id":"08b68dd2-6af7-420b-81c0-630bb6d8b8d6","resolution":{"observed_at":"2026-07-05T11:41:03.425707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.313798Z","title":"Vision transformer with sparse scan prior","venue":null,"work_id":"f45f7c4d-02fb-47e2-b6be-55cabd32234e","year":2024},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:c53c4c308f6adae07e41dc4b8d2ed887bc2ee244b0a086815f5f0e3d50ef79f5","observation_id":"168d833c-4695-4227-ac9b-b814af665158","resolution":{"observed_at":"2026-07-05T11:41:03.314996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.315738Z","title":"Twins: Revisiting the design of spatial attention in vision transformers","venue":null,"work_id":"b4ad3f7d-44b8-45b8-9af3-8ca43100ae0b","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:6d7e9459547d4f343887b8cdb6aa4ab2ff4f8adeacebfeff1a0fb53eb7b85f54","observation_id":"b17bcad0-209e-427c-9f95-24f71ff97c69","resolution":{"observed_at":"2026-07-05T11:41:03.319391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.320654Z","title":"Pyramid vision transformer: A versatile backbone for dense prediction without convolutions","venue":null,"work_id":"992b2b1d-f8d6-4be0-b753-760c80ed71eb","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:d2748d2afb48b21599f5005254e46627bae085cfafc9269c784b6cb3b680c406","observation_id":"21d52e25-ce72-4b57-afca-b73767811774","resolution":{"observed_at":"2026-07-05T11:41:03.322050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.322745Z","title":"Pvtv2: Improved baselines with pyramid vision trans- former","venue":null,"work_id":"310f9caf-daf0-402b-a7b4-9d8086ba265b","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:fc3baf6f939cf196c5e71c80fb3376122c9f2483858a8ae350310c56473b7178","observation_id":"27b600e3-bc70-40ed-9317-88990604aaa3","resolution":{"observed_at":"2026-07-05T11:41:03.323951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.324526Z","title":"Lightweight vision transformer with bidirectional interaction","venue":null,"work_id":"eec55a4a-57ca-429c-a93f-5fd7fb5fc362","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:0a6e62ac1341e010070aef6dc5063b45d0e5ec98c0901446c95d5574d7c3ac84","observation_id":"6ac2e270-bd52-445f-9833-f55625756817","resolution":{"observed_at":"2026-07-05T11:41:03.325815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.332739Z","title":"Multi-scale vision longformer: A new vision transformer for high-resolution image encoding","venue":null,"work_id":"fa5a62bc-ebd4-4d94-8e97-ef89a9d2c525","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:1dd7e4147adcc286ec49241b45fb498f5c567dd6e8a76b398f3b5aaf541e5a63","observation_id":"8f0d3083-569b-46ca-ae85-0905000cde0e","resolution":{"observed_at":"2026-07-05T11:41:03.333987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.309906Z","title":"RegionViT: Regional-to- Local Attention for Vision Transformers","venue":null,"work_id":"31272ca4-a8fc-4f81-ac33-07aa435b1e9f","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:1721d5a138bec3552a5c4a93f1c5f53be1a323e6e9e1ef99381042ae78fbc586","observation_id":"52998cb1-c1b8-4a84-9cfa-bd63b75bd4e0","resolution":{"observed_at":"2026-07-05T11:41:03.311156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.05790","last_updated":"2022-01-08T16:59:18Z","snapshot_observed_at":"2026-08-16T18:10:30.331272Z","submitted_at":"2021-07-13T00:27:01Z","title":"Visual Parser: Representing Part-whole Hierarchies with Transformers","version":2},"cited_work":{"arxiv_id":"2107.05790","doi":null,"metadata_source":"pith","pith_arxiv_id":"2107.05790","snapshot_observed_at":"2026-07-05T11:41:02.778292Z","title":"Visual parser: Represent- ing part-whole hierarchies with transformers","venue":"cs.CV","work_id":"3d1123fc-579d-48f3-bce6-01b8f06b3673","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/2107.05790","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:16ffba9e35c59606a222e83895ac251d82aec0a72e536e591bbdd8629032c09d","observation_id":"44dc5f71-ea6c-43ed-9258-d60b885bb9d3","resolution":{"observed_at":"2026-07-05T11:41:02.780080Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.300265Z","title":"Perceiver: General perception with iterative atten- tion","venue":null,"work_id":"90fa8362-39ff-4a51-9945-2072f5f9b4f9","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:64f1ade052343f9e93fd58ce443cbbe245c18986bb966adf181a41d8aebfe8dd","observation_id":"5dc4449b-9448-434f-8442-3765bb6613bd","resolution":{"observed_at":"2026-07-05T11:41:03.302078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.293389Z","title":"Msg- transformer: Exchanging local spatial information by manipulat- ing messenger tokens","venue":null,"work_id":"66bb8958-6f0c-42bf-8cec-1e1836b66a6e","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:2d4826df3976feb67f59801aa55398cb0822485b00756c45a42a6b16d31df73d","observation_id":"ac187d8a-560b-4561-9736-b42bbf383674","resolution":{"observed_at":"2026-07-05T11:41:03.294795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.298108Z","title":"Hrformer: High-resolution transformer for dense prediction","venue":null,"work_id":"f1120a22-d834-4d74-b06c-6c573de15b69","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:f4954480008ee4e6092749848100b9de7b9063a0d3c858c1ccef981d5e7431a7","observation_id":"c3938e10-af73-4494-8417-62cfa8f5b12d","resolution":{"observed_at":"2026-07-05T11:41:03.299602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.302907Z","title":"Multi-scale high-resolution vision transformer for semantic segmentation","venue":null,"work_id":"ba59b55c-bd3b-4b75-9e8c-7f882c4fedf1","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:9e1c37a2e6417a92745accefe7b25ff37e609799ffc7f9ad95f69a0f2d36f2a7","observation_id":"41ab42d9-7bfa-4b5a-8017-e3e3994b8f69","resolution":{"observed_at":"2026-07-05T11:41:03.304625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13043","last_updated":"2024-07-18T02:54:35Z","snapshot_observed_at":"2026-08-16T14:08:18.093369Z","submitted_at":"2024-03-19T17:58:39Z","title":"When Do We Not Need Larger Vision Models?","version":2},"cited_work":{"arxiv_id":"2403.13043","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.13043","snapshot_observed_at":"2026-07-05T11:41:02.805036Z","title":"When do we not need larger vision models?","venue":"cs.CV","work_id":"25c7f963-e4b6-4222-8067-46e19a41e66f","year":2024},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/2403.13043","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:90f9dab65e4749c7dad9ac98bb52565bbe284abc948349cffd4345063cbb39d6","observation_id":"928a73ae-3339-4401-9510-5cdd5afe0bbf","resolution":{"observed_at":"2026-07-05T11:41:02.807457Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.311927Z","title":"Hiri-vit: Scaling vision trans- former with high resolution inputs","venue":null,"work_id":"6b695014-66ac-4dfc-98c7-c219040449c9","year":2024},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:89ccde5c632891a8e3400b66cac846bce6f3722711524bdfb89ccf71bed0bb44","observation_id":"fb10d1c7-9d97-4bf4-8603-0ca402249dbc","resolution":{"observed_at":"2026-07-05T11:41:03.313153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.340669Z","title":"Swin transformer v2: Scaling up capacity and resolution","venue":null,"work_id":"68fd2f96-2959-4eee-8465-14f7cac924f5","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:24019b3467d29c1daa47054f742b1c5f73a3bdb66f648cc482c136184cb62813","observation_id":"47d6e429-a79d-4538-aa37-2dafb7d88355","resolution":{"observed_at":"2026-07-05T11:41:03.341950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.469860Z","title":"Internimage: Exploring large-scale vision foundation models with deformable convolutions","venue":null,"work_id":"5483d1ce-9428-4f52-885a-770db501ef87","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:2dd1120a7ff0b34beff98f2e52058f86b50480607ff08debf63c329d5f8b601c","observation_id":"f9123930-3344-4b2c-9721-5610324b4b34","resolution":{"observed_at":"2026-07-05T11:41:03.471589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.426424Z","title":"Not all patches are what you need: Expediting vision transformers via token reorganizations","venue":null,"work_id":"25e5d62d-1bc2-4091-b48e-89107ff1ecfc","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:5f9ff727ea92a925e7aca1790dcca5ca07d33f72a96283debe7155a9fdd80009","observation_id":"27eee32d-c656-4141-8b12-8c4fb700ff09","resolution":{"observed_at":"2026-07-05T11:41:03.427626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.428209Z","title":"Dynam- icvit: Efficient vision transformers with dynamic token sparsifi- cation","venue":null,"work_id":"6373e742-880d-431a-bc05-65b0f01f0788","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:235d81397261189c45c17a10efd83efadbef0a06ff0bff83247a9775f5a2711e","observation_id":"42a0e45a-b350-42c4-bac4-5b74dfed959c","resolution":{"observed_at":"2026-07-05T11:41:03.429634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.430228Z","title":"Token merging: Your ViT but faster","venue":null,"work_id":"a3feec6a-c9f9-42c1-8726-60ed4090763f","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:76591e76e4e6fafc26608f778a758c5a3df5021743f47f75f7afd703430f23c3","observation_id":"552186f7-afb9-4a18-a5a8-eedf456b8c1d","resolution":{"observed_at":"2026-07-05T11:41:03.431745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.416988Z","title":"Vision transformer with super token sampling","venue":null,"work_id":"d4fb521f-2363-45f1-9364-bf751e197bda","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:5b5e18ec48f81513e5874cc5a3bed4ad22c5170b4fabe926715a667b56b4d9d5","observation_id":"12857e86-6037-4949-8a8d-cae5ad520300","resolution":{"observed_at":"2026-07-05T11:41:03.418149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.414965Z","title":"Conformer: Local features coupling global representations for visual recognition","venue":null,"work_id":"a02f3fe3-b7e5-415f-a522-eb2cf0579abe","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:3f094ba725d5a1ad3283c0c5c59c3100a3b9a0099302e306a2af815ecd35e7d6","observation_id":"87d88463-6e85-4e93-9e18-55910b0111af","resolution":{"observed_at":"2026-07-05T11:41:03.416344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.418799Z","title":"Mixformer: Mixing features across windows and dimensions","venue":null,"work_id":"35b161fd-5cc4-4915-bd0d-5487d1a32a70","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:c97906748a0818d58976e3ac02071bc8aa0dc4a889a0d93f7229f8e3937b5689","observation_id":"296bef40-f0d3-45cb-9d95-23d59b316ac3","resolution":{"observed_at":"2026-07-05T11:41:03.419978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.420624Z","title":"Inception transformer","venue":null,"work_id":"9e4153b6-7036-4081-a157-fff71b1b294b","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:2143b42ed699890ef5e05c4ae8a72e56e37b3c431c0b283140638104117b7cf3","observation_id":"73c0892c-c69e-4e10-bc20-31a06c45cdac","resolution":{"observed_at":"2026-07-05T11:41:03.421883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.409434Z","title":"Fast vision transformers with hilo attention","venue":null,"work_id":"6049fbd1-ec82-4cec-8d6a-eccdf9e2ebe6","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:7b3e18538a7e19306fb2291f10f9bd5adb8b661d973792a9c843f964d8e15795","observation_id":"9626f6d4-aa21-41e1-b6d7-5b0a7c22857a","resolution":{"observed_at":"2026-07-05T11:41:03.410595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.04803","last_updated":"2021-09-15T06:05:13Z","snapshot_observed_at":"2026-08-16T18:18:32.351508Z","submitted_at":"2021-06-09T04:35:31Z","title":"CoAtNet: Marrying Convolution and Attention for All Data Sizes","version":2},"cited_work":{"arxiv_id":"2106.04803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.04803","snapshot_observed_at":"2026-07-05T11:41:02.799655Z","title":"Coatnet: Marrying convolution and attention for all data sizes","venue":"cs.CV","work_id":"08de913e-bf2d-4981-af29-094eb833d77d","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/2106.04803","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:f6fb3bcb0583cf98a2ab4458bb3eb850c65d21bc5128f59b29de3383a0574717","observation_id":"3c15361b-e1a1-4a4e-bef6-28156de9a622","resolution":{"observed_at":"2026-07-05T11:41:02.801223Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.411174Z","title":"Orthogonal transformer: An effi- cient vision transformer backbone with token orthogonalization","venue":null,"work_id":"6cc77d79-66e0-4352-b0ee-817ea2b75e71","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:5e3f3e0fd53233ec7eeb5998ae7d80cd11135b17e5a314e01d013c28ab0f2012","observation_id":"f2bc8d91-f755-4d6b-a758-94123a04c4f7","resolution":{"observed_at":"2026-07-05T11:41:03.412410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.407671Z","title":"Attention is all you need","venue":null,"work_id":"6eb91ef8-6372-4200-a577-d5472f770148","year":2017},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:3c8df474e2d6e08ce669adca212c6ec09f582406c79dfcea8f24ec98602c94e5","observation_id":"1250e399-08bd-47fe-aa4d-dbb2a9af2a72","resolution":{"observed_at":"2026-07-05T11:41:03.408851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.405213Z","title":"Conditional positional encodings for vision transformers","venue":null,"work_id":"a97383f4-3665-4810-a2d4-dcb980598848","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:f610222ce5a1cc314918b63e127cb9637cc7afc5576fe8053aa1402b78bdb9b1","observation_id":"d0931e15-4ef8-487b-bca6-378e41b35f83","resolution":{"observed_at":"2026-07-05T11:41:03.406926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11331","last_updated":"2023-03-22T14:10:37Z","snapshot_observed_at":"2026-08-16T15:46:46.482584Z","submitted_at":"2023-03-20T17:59:59Z","title":"EVA-02: A Visual Representation for Neon Genesis","version":2},"cited_work":{"arxiv_id":"2303.11331","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.11331","snapshot_observed_at":"2026-07-05T11:41:02.797019Z","title":"Eva-02: A visual representation for neon genesis","venue":"cs.CV","work_id":"bf537885-a22b-4675-854f-7f42dfb687a7","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/2303.11331","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:26b80510efcc210075335a153ef9ab5ab2f7c993ced226daf6160bb8bc1513fc","observation_id":"15231b6b-8531-45d7-a2a9-9b3fa489a910","resolution":{"observed_at":"2026-07-05T11:41:02.798307Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.413107Z","title":"Flatten trans- former: Vision transformer using focused linear attention","venue":null,"work_id":"15d24641-5e22-423d-b547-434c500c9f42","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:137e5b3efd0d6c77e2272f9b788f2e9da5796271bef7b201bb383212cea8e94a","observation_id":"c298855c-6a62-4e6b-9a1d-672c1667b45b","resolution":{"observed_at":"2026-07-05T11:41:03.414353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.422589Z","title":"Agent attention: On the integration of softmax and linear attention","venue":null,"work_id":"bd9261ad-0045-4788-8bef-37943c38c40f","year":2024},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:89e0f5be569ce0417a4884615bc4fc73c50fe1a1ac4982a82c48ff57874beb23","observation_id":"523c1cc0-286d-4c3f-ae79-fbe1dc40b4b9","resolution":{"observed_at":"2026-07-05T11:41:03.423781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.434084Z","title":"Roformer: Enhanced transformer with rotary position embedding","venue":null,"work_id":"e9b77efe-795a-4e24-b3d6-b84a0344566f","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:e68b69e509d85ace15543673c90a9e0a10d25aec39ce930df06f7f5cb8cba831","observation_id":"acf0cb5a-f067-4f16-a172-94dd9cc81aa8","resolution":{"observed_at":"2026-07-05T11:41:03.435473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.399156Z","title":"Maxvit: Multi-axis vision transformer","venue":null,"work_id":"547c2bf7-195b-47c3-b513-da8b5554242d","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:60bd4446e0d43eaad9736e6eb98dc95d07fadb65fde612c3ae3f9df4a5017327","observation_id":"e91d6072-c446-4de6-8276-47df41515aad","resolution":{"observed_at":"2026-07-05T11:41:03.400283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.400861Z","title":"Multi-scale vmamba: Hierarchy in hierarchy visual state space model","venue":null,"work_id":"5c4dfcd9-eba7-4504-bdad-c2077ac07068","year":2024},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:78081d42e185033bf0fe1bf5855f57f5910ee1f0d9cc837340e0d0210191ac3d","observation_id":"7a1fb4fa-f831-410a-94d0-a832d6f98f86","resolution":{"observed_at":"2026-07-05T11:41:03.402136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.397319Z","title":"Moat: Alternating mobile convolu- tion and attention brings strong vision models","venue":null,"work_id":"f5f795b9-eaeb-4b46-84c1-7c21590ee66e","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:e99a9cdfbfc43732991eba3e9358b232b181f667a3b5cdb69ec9759bf0e9609a","observation_id":"9d58663d-5ed7-476b-805b-481b4ef3e5b1","resolution":{"observed_at":"2026-07-05T11:41:03.398557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.09741","last_updated":"2022-07-11T04:21:37Z","snapshot_observed_at":"2026-08-17T22:44:16.519599Z","submitted_at":"2022-02-20T06:35:18Z","title":"Visual Attention Network","version":5},"cited_work":{"arxiv_id":"2202.09741","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.09741","snapshot_observed_at":"2026-07-05T11:41:02.793591Z","title":"Visual Attention Network","venue":"cs.CV","work_id":"2e58335a-1acd-4c3c-b40d-a09ca022356d","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/2202.09741","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:90e548d826c4792dee4f7682c551066d1ce0901314eb359764b104e53ba5fa69","observation_id":"3306b9a8-fc2e-41d1-9fc1-a9174274fc12","resolution":{"observed_at":"2026-07-05T11:41:02.795305Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.11943","last_updated":"2022-11-22T01:39:45Z","snapshot_observed_at":"2026-08-16T16:14:21.217675Z","submitted_at":"2022-11-22T01:39:45Z","title":"Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition","version":1},"cited_work":{"arxiv_id":"2211.11943","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.11943","snapshot_observed_at":"2026-07-05T11:41:02.790562Z","title":"Conv2former: A simple transformer-style convnet for visual recognition","venue":"cs.CV","work_id":"72c27202-8641-4600-907c-aff72136b0ae","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/2211.11943","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:730e72d993e5e2a81a5428cf44c6ddc10911602b655e96e13e630644fcbf677d","observation_id":"cf89f388-5b05-491f-a965-045ab060b14a","resolution":{"observed_at":"2026-07-05T11:41:02.792059Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.402737Z","title":"Scaling up your kernels: Large kernel design in convnets towards universal representations","venue":null,"work_id":"b1d2fe2f-84d4-4755-b6a0-bd70fdfc3ae8","year":2025},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:ed964f3f8ab908f36ad5d47184537c409b692b94c5d406fba8dc2abf154b22ec","observation_id":"c4522c68-2b51-4bd7-afa8-c3452a38e138","resolution":{"observed_at":"2026-07-05T11:41:03.404102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.436128Z","title":"Learned queries for efficient local attention","venue":null,"work_id":"2b02ece2-98d8-42fe-8b7a-997fbe6ea604","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:ed463f0ac91c2e9e4fb37cc0599420ab44493291acb8bb791bc2095e5233997e","observation_id":"49c98403-fe89-4259-a033-8f4d83ffe7ec","resolution":{"observed_at":"2026-07-05T11:41:03.437561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.463281Z","title":"Global context vision transformers","venue":null,"work_id":"589d98af-33fd-4670-b06f-5acc70cca412","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:db1636a3ed0b9a11122c0335a5643e6e2035c2a2cce3232ac3a731c340ed5fb6","observation_id":"05e75c5d-50dc-413b-a042-82767d6729be","resolution":{"observed_at":"2026-07-05T11:41:03.465087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.374675Z","title":"Scale-aware modulation meet transformer","venue":null,"work_id":"1337950e-c472-4683-be80-07458cb19c3e","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:fb9075a82c4879f835a08375f3b3b3f2345ac681c7e2853c5eb746ce3395b24f","observation_id":"dc60cf59-f389-4320-ac30-f71cb1f3761c","resolution":{"observed_at":"2026-07-05T11:41:03.376017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.372942Z","title":"Transnext: Robust foveal visual perception for vision transformers","venue":null,"work_id":"1a8a6636-145a-4d7a-aaf7-085566594d59","year":2024},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:316b2f2db54a2de465a7733e6290625fbca5d245dba630ca2d13b9279da4eef2","observation_id":"41d78b2c-0a47-409d-9504-92346eb4d814","resolution":{"observed_at":"2026-07-05T11:41:03.374067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.376740Z","title":"Overlock: An overview-first-look-closely-next convnet with context-mixing dynamic kernels","venue":null,"work_id":"a06de7d5-bc42-4172-9818-7b6cb256e532","year":2025},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:fd591f0bce6a24a8a59122e6cc8efa3f71296be2412a7d80cd65485316166704","observation_id":"9cee8df5-d411-4594-b025-bf17c26adfd7","resolution":{"observed_at":"2026-07-05T11:41:03.377956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.378515Z","title":"Training data-efficient image transformers & distillation through attention","venue":null,"work_id":"b54eee19-dd55-4411-98e5-f5651df7f8d6","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:7a6d1b68314129dac54cb43ad2fbe9fca47f4be820e67174d052771a988acdf8","observation_id":"2a54e4fb-0152-4dc4-af4a-1c92a3e9905d","resolution":{"observed_at":"2026-07-05T11:41:03.379630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.381955Z","title":"CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification","venue":null,"work_id":"d65d73d3-11b3-4b54-9911-e3a97ff6ca78","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:3296a6b275ffe8099836dff83c5364fd83b8b800326ebf7fc5e527d69603acba","observation_id":"7b9ef9bd-c29d-44d5-ae2e-90007954353f","resolution":{"observed_at":"2026-07-05T11:41:03.383221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.383793Z","title":"Focal self-attention for local-global interactions in vision transformers","venue":null,"work_id":"f0425277-6152-441a-b325-a7e74d652d75","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:443113d690de429dda604fb5406e0b36f79d11c114bcd8276e329c0c42b8b2c5","observation_id":"55b4dd84-7cf5-4e6d-a621-14db40d93723","resolution":{"observed_at":"2026-07-05T11:41:03.385475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.391794Z","title":"Sucheng ren, xingyi yang, songhua liu, xinchao wang","venue":null,"work_id":"f9c4df9c-7180-4a65-b4ff-bab666ef0f3d","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:961225e3da95f51035a3278174c84113e24333ce7a4ef9b026552e31107e1226","observation_id":"2c2082ff-fbd8-4823-b0f7-125937a7ae32","resolution":{"observed_at":"2026-07-05T11:41:03.393069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.360870Z","title":"Demystify mamba in vision: A linear attention perspective","venue":null,"work_id":"8aad4a34-2917-4336-a5db-ffbe647a4a9d","year":2024},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:e03146c55ff8f3f2d264b37c31a3bd9b28084702fbb3743b63b3a4435bb690a5","observation_id":"fe21ef67-0d6e-4e5a-8ebf-2925f1363dc4","resolution":{"observed_at":"2026-07-05T11:41:03.362214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.362857Z","title":"Vssd: Vision mamba with non-causal state space duality","venue":null,"work_id":"edb8f394-7391-4286-9f04-258d16cbbcf3","year":2025},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:aa58a48fc87671fc3350dffef21085bbd2625d35ca9ba3840cc4cf17dc040f72","observation_id":"047927b1-6c5a-45bd-be28-ab57b507d26c","resolution":{"observed_at":"2026-07-05T11:41:03.364192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.353939Z","title":"Quadtree attention for vision transformers","venue":null,"work_id":"8ab51239-b902-431a-9c15-5ecf1a1ee612","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:3cc308f84963c24c759a9fcb0e6eb7ebd0aec60ea7331c5857a107907520af5b","observation_id":"a7e9fecc-3acc-4725-8adb-8044e629dbb3","resolution":{"observed_at":"2026-07-05T11:41:03.355226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.351967Z","title":"Scalablevit: Rethinking the context-oriented generalization of vision transformer","venue":null,"work_id":"eb101eb0-8cdb-47dd-bb2c-1d9cae6de8c7","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:a9db348913835a187783b3713d4084bdb6622f26f02e7f15ede1292a669bc2e4","observation_id":"5772a48d-8bee-400b-87e9-51ab14f485ab","resolution":{"observed_at":"2026-07-05T11:41:03.353365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.355946Z","title":"Crossformer++: A versatile vision transformer hinging on cross-scale attention","venue":null,"work_id":"d4a682fd-5589-40a5-b4f9-8aa94d3d111f","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:26482430e50b85252ecdc7fd9022f86e7b251cc2aabe28b807c3ef3e388f0da5","observation_id":"efbd12d4-e31b-4d96-9b2b-ad3cb39ed8a4","resolution":{"observed_at":"2026-07-05T11:41:03.360245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.364772Z","title":"Contextual transformer net- works for visual recognition","venue":null,"work_id":"2f9ced48-fc00-4368-833d-f9e20dc9b6f8","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:3cb22371df1fb3a7c76ab4327816a8c18e4d0e4b52a0bdd3e8cf07eecfd7e2ee","observation_id":"e77f42b2-ec4d-453e-9952-182e1c2c7e3f","resolution":{"observed_at":"2026-07-05T11:41:03.365938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.10108","last_updated":"2022-11-27T05:17:34Z","snapshot_observed_at":"2026-08-16T17:19:52.463926Z","submitted_at":"2022-02-21T10:40:05Z","title":"ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond","version":2},"cited_work":{"arxiv_id":"2202.10108","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.10108","snapshot_observed_at":"2026-07-05T11:41:02.781623Z","title":"Vitaev2: Vision trans- former advanced by exploring inductive bias for image recogni- tion and beyond","venue":"cs.CV","work_id":"9d43ab4d-e645-436c-bc04-0688417b4607","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/2202.10108","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:6c456ec36c57fd38e9ad2349a4b02cd94630379bf72c28c37c28d346ae24d96e","observation_id":"0a466a6d-5b8e-4422-86b5-3993ed2822a1","resolution":{"observed_at":"2026-07-05T11:41:02.783565Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.371059Z","title":"Mvitv2: Improved multiscale vision trans- formers for classification and detection","venue":null,"work_id":"be7e86f2-1051-4c16-9890-e6451976a322","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:8e58dbb5a2f62e471774addca212f351a4924873c7fe59ef146be5858141f800","observation_id":"47e97cf6-e638-4568-baac-8f569f162d50","resolution":{"observed_at":"2026-07-05T11:41:03.372341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.366510Z","title":"Crossformer: A versatile vision transformer hinging on cross- scale attention","venue":null,"work_id":"516f88e5-3008-46ed-89b1-0e994aef8fc3","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:6ec807bb5cbd3221e3b005595a9da653abde6a242293d992e29eccd1ffed924b","observation_id":"c4cd5ac5-b7c5-42c5-91f7-ef5396c146fd","resolution":{"observed_at":"2026-07-05T11:41:03.367726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.395526Z","title":"Mpvit: Multi-path vision transformer for dense prediction","venue":null,"work_id":"e371d6d8-6986-4aee-accf-e0381a43189f","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:ddcc5d0da8f58bbc9c10954afdd5bb05e433e003964f25005abea66ac2b6b1cb","observation_id":"bb16417f-3eb9-4676-9dc6-7a69e2cb5edd","resolution":{"observed_at":"2026-07-05T11:41:03.396741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.459595Z","title":"Vision transformer adapter for dense predictions","venue":null,"work_id":"8bb4a110-61b8-4c0b-a118-b9d2ca4e51c8","year":2023},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:48f27fdcecd9a709d23247da020c81b027e67723d32b057a203db2d21a465892","observation_id":"9a33262c-cc04-459c-98d0-f3d55c09ba7f","resolution":{"observed_at":"2026-07-05T11:41:03.460759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.461322Z","title":"Do imagenet classifiers generalize to imagenet?","venue":null,"work_id":"07096d32-84c3-430f-b7ba-dcd2992023e8","year":2019},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:459e1c820e95a6b763f8a57735f9b51bcdf90b8ffbdc4006732b00e0d146c27b","observation_id":"2d0fa37e-5c89-42ab-87ca-86bce4b3852f","resolution":{"observed_at":"2026-07-05T11:41:03.462639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.465952Z","title":"Natural adversarial examples","venue":null,"work_id":"9ebf69a0-3b93-460f-abe2-d023f455d544","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:90693f3fd57bea72dcfae472498b15be1964d8740a05a4e666b6c6359db14cea","observation_id":"e95ffcac-263c-480f-9671-b294968eb51e","resolution":{"observed_at":"2026-07-05T11:41:03.467399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.467944Z","title":"The many faces of robustness: A critical analysis of out-of-distribution generalization","venue":null,"work_id":"a69f8650-749f-4fd7-9aa0-19f527ac2203","year":2021},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:19768980e9e62b95c8d23f5f615272cd4c7c0e90bbdb87327d22dac72f19a432","observation_id":"67266a72-a61d-483e-be6b-363262252531","resolution":{"observed_at":"2026-07-05T11:41:03.469283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.455099Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":"ab69b5c8-cca6-42b4-a7bc-3510b982aa8a","year":2009},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:626cd2f25a1e2475a713f12e87f93ed0b8570184a8879febc5b4e1c2999228ea","observation_id":"cfc3b3a2-0492-4a35-86c7-f6ef8787e5db","resolution":{"observed_at":"2026-07-05T11:41:03.456292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.443602Z","title":"Randaugment: Practical automated data augmentation with a reduced search space","venue":null,"work_id":"18ebeba5-11eb-4c01-8de7-f4ffa575956f","year":2020},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:9607a44714f1535104164208290a87c64f1e1afc5426d4adea44c958b0599c4b","observation_id":"fe3c6a03-8083-43b3-b7dc-e24f6f1ee220","resolution":{"observed_at":"2026-07-05T11:41:03.444704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.447277Z","title":"mixup: Beyond empirical risk minimization","venue":null,"work_id":"47998aaf-94d0-49b6-8a28-9dad128c8375","year":2018},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:8813d3e1cdaac72904f1aaf2c5eeaf2669b06c72496ffc90355df6b1ff6dc788","observation_id":"ce4ec271-2694-4a8f-bf8e-134750a4486b","resolution":{"observed_at":"2026-07-05T11:41:03.448446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.449065Z","title":"Cutmix: Regularization strategy to train strong classifiers with localizable features","venue":null,"work_id":"47adf1b1-8189-4fc4-8466-1660c7316087","year":2019},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:3b4c2ab2599d50549d5b431b5b6eb4443e759f2daa81ff2e27d1714205950f24","observation_id":"a36fd0c6-1b77-4223-885c-a418828044ae","resolution":{"observed_at":"2026-07-05T11:41:03.450694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.438138Z","title":"Deep networks with stochastic depth","venue":null,"work_id":"a00e86ed-7f3e-4b49-9e61-84de67dd8caa","year":2016},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:0f76b57d8a1c4e7fde6dd3d4658b571bf1f5bf9b8dd237f5dbf8baf2f59421d2","observation_id":"18ef743c-4ea2-47bb-89df-34fc01276985","resolution":{"observed_at":"2026-07-05T11:41:03.439330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.453333Z","title":"Edgevits: Competing light-weight cnns on mobile devices with vision transformers","venue":null,"work_id":"d13367e4-233b-4ab7-bf88-17b3d27e36ac","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:3f8c1b7e0ce9f879818bdfdb012441464d0820f76141afeb99f5a31c2de9f009","observation_id":"c9716083-1487-4e0a-840b-f29702008c4c","resolution":{"observed_at":"2026-07-05T11:41:03.454532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.472194Z","title":"Hor- net: Efficient high-order spatial interactions with recursive gated convolutions","venue":null,"work_id":"4bd5240c-8ebb-4f3d-9325-0a7eae77ffc6","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:590001a85eec1f8706d953ba6fda1065afc732671b11ea7ef991bfcef5065f40","observation_id":"8e138a9e-14cb-4657-9ccb-329cbda86e70","resolution":{"observed_at":"2026-07-05T11:41:03.473843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.432382Z","title":"Focal modulation networks","venue":null,"work_id":"0c03e6c5-02f8-4ddc-9e8c-bfb90c1c05fa","year":2022},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:22f3f4bc37326cb7c3b87647b435523ea8bfa92ea9ed88c35fa10fc6601261de","observation_id":"4aea014a-4175-455c-b46e-40cc6023838c","resolution":{"observed_at":"2026-07-05T11:41:03.433495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.387919Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":"82d1d0c9-7fa4-488d-8d2a-ebc0afa338f9","year":2014},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:35c2a9f7e264e5812e1f3714dcf6fed144960504140d758ff904d40d31a4cfd9","observation_id":"67fa9bc6-f33a-4f2a-9037-c3ebe3a2ba1b","resolution":{"observed_at":"2026-07-05T11:41:03.389192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.07155","last_updated":"2019-06-17T17:58:12Z","snapshot_observed_at":"2026-08-16T03:32:25.570081Z","submitted_at":"2019-06-17T17:58:12Z","title":"MMDetection: Open MMLab Detection Toolbox and Benchmark","version":1},"cited_work":{"arxiv_id":"1906.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"1906.07155","snapshot_observed_at":"2026-07-10T10:27:02.355587Z","title":"MMDetection: Open MMLab Detection Toolbox and Benchmark","venue":"cs.CV","work_id":"88b51c19-cd39-43c5-89fe-5c199a74250d","year":2019},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"cited_paper":"/paper/1906.07155","citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:eb6e2450f6d0888d7dbb064505dbe0a27345ed5106de32029f470d4f24ef0a3a","observation_id":"d5ab00f1-3797-4d91-b3ee-9b376d2bbe4d","resolution":{"observed_at":"2026-07-05T11:41:02.810089Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.389979Z","title":"Mask r-cnn","venue":null,"work_id":"028dc77c-4511-4f10-a701-dec2fbc3c191","year":2017},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:050284f1f88f6cba53dc9ea86b218c913e17ad8912dbce3ed2e595fe8127b11d","observation_id":"e88b9be1-18b9-4175-a522-adcaa26ed236","resolution":{"observed_at":"2026-07-05T11:41:03.391204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.350037Z","title":"Cascade r-cnn: Delving into high quality object detection","venue":null,"work_id":"f2872f5c-1ca7-4245-9483-f8d3960597d7","year":2018},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:756d27f2ad272402fb0c781516bc49bbffe43be4338ecaee74870cb8f98a9621","observation_id":"4646a0fa-0b89-4cc6-ac0a-0ea87749dd1b","resolution":{"observed_at":"2026-07-05T11:41:03.351382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.342598Z","title":"Focal loss for dense object detection","venue":null,"work_id":"e0ff46c6-a2a7-4943-9a7b-98103e6704fd","year":2017},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:8034cf70ef7dd94f58540f1da384334c8afb87cc3fdb71d8e269f899d935c796","observation_id":"60e78da7-3562-4993-99d0-a2611e8db4df","resolution":{"observed_at":"2026-07-05T11:41:03.343910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.344480Z","title":"Scene parsing through ade20k dataset","venue":null,"work_id":"551ce8cc-c327-4105-9a36-2a44a9ff5ece","year":2017},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:d4860205b3d5b344dc02a21114579bf1b7ecf6986ea3acb75a35030c172b969c","observation_id":"de2083ad-8417-49e4-9bb1-ec62ef658639","resolution":{"observed_at":"2026-07-05T11:41:03.345702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.346341Z","title":"Panoptic feature pyramid networks","venue":null,"work_id":"18107514-0a93-430e-aac6-7244b7f434fd","year":2019},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:e13e3d9c1239584d13e25f296853c4a743ae2ee53580201642ac5adbc33b9a4b","observation_id":"76885b54-2838-4386-97d4-7f980a71110e","resolution":{"observed_at":"2026-07-05T11:41:03.347542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.348139Z","title":"Unified perceptual parsing for scene understanding","venue":null,"work_id":"f942213c-7bf8-4732-8d28-18dfe5fd70f0","year":2018},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:7f4fa7d0ce67a79c50f11120394ec143b18104bad4e7a0fe233ecffb2c1cbcf3","observation_id":"57250a50-8733-4b2f-95f0-4caf2de99afc","resolution":{"observed_at":"2026-07-05T11:41:03.349479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.368605Z","title":"Mmsegmentation, an open source semantic segmentation toolbox","venue":null,"work_id":"a12b4680-2b2d-4792-8e76-d9731c45942f","year":2020},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:53a20a75d006378ce47b2691ba88f52e568681bb2f4f567b64e7b9407cb9e7fa","observation_id":"3f4e2716-2628-4739-90b0-6fe682443d23","resolution":{"observed_at":"2026-07-05T11:41:03.370304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.393722Z","title":"Benchmarking neural network robustness to common corruptions and perturbations","venue":null,"work_id":"3f42d62b-2dca-4e28-a172-f9fb7987d55e","year":2019},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:ac1adafd22155ea33af01aa77efff57641a77d2674f349f457d3160621365a4b","observation_id":"11dc8ad8-9bd1-4466-b4a6-5d7f920b93a7","resolution":{"observed_at":"2026-07-05T11:41:03.394970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.474459Z","title":"Learning robust global representations by penalizing local predictive power","venue":null,"work_id":"5c392f62-f531-4ec6-bdfc-e284845e0085","year":2019},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:b8c71cca1a7072728142e48d2671e3db8aff728f680369a784298dfea00047c4","observation_id":"e541e936-3c5d-4ecb-a002-8fac49b4b609","resolution":{"observed_at":"2026-07-05T11:41:03.475615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:03.338771Z","title":"Do ImageNet classifiers generalize to ImageNet?","venue":null,"work_id":"c9c36f7e-3286-4fd1-aeeb-0b9797e2fc10","year":2019},"citing_paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","version":4},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-07-05T11:32:36.356530Z"},"links":{"citing_paper":"/paper/2604.18543"},"observation_digest":"sha256:6c926bed02b4d022aa66259500c4c59d467c0b182ab568908769cd8b8e496b8a","observation_id":"86f70881-3411-475d-9d3e-ada791a1354a","resolution":{"observed_at":"2026-07-05T11:41:03.340065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.18543","last_updated":"2026-06-10T02:43:26Z","latest_version":4,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-12T18:47:26.431104Z","submitted_at":"2026-04-20T17:36:49Z","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":11,"verified_fuzzy":89},"total_outbound_references":102},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 6 inbound Pith citation observations for arXiv:2604.18543."}