{"as_of":"2026-08-07T21:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bfcd50366574c2dadc5b5f0103e3bd39677baeffa42127e37bfb7b1f56474df4","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:28:21.670673Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.13569/citation-record","integrity":"/paper/2507.13569/integrity","json":"/paper/2507.13569/citation-record.json","paper":"/paper/2507.13569"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:21.178459Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.178459Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:6f0feb2e883e5d1bf2de2be18840945caef748748d644bb8572373d1a29a54bb","observation_id":"dcf7e5af-cb6a-4ce0-b4a4-5c7c7b5a20f5","resolution":{"observed_at":"2026-08-06T16:28:21.178459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:23.440962Z","title":null,"venue":null,"work_id":"9894c93c-33d9-44ee-9aae-cfafaf8083d0","year":1901},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.191340Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:444ca3d3eae7732430cc568e56890891f6c4ae1d65c15575a24fa3cfc9d0a3f3","observation_id":"1be39a80-ac8e-4560-ab82-2ac350acb428","resolution":{"observed_at":"2026-08-06T16:28:23.490926Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:21.202738Z","title":"Chain-of-thought prompting elicits reasoning in large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.202738Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:c1bd896003b3f961cad32066298c8c299e1cd378c8bfc87b1740c053b13c0a6e","observation_id":"002d176a-770a-44e5-94b2-5a5dffffa7ed","resolution":{"observed_at":"2026-08-06T16:28:21.202738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-06T16:28:21.208244Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.208244Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:fad94146ed1e5572dd1587f050e381af58d95a9e192fe33143c09e7f9bb84521","observation_id":"238154f1-f285-4004-8f57-5da021417da3","resolution":{"observed_at":"2026-08-06T16:28:21.208244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:21.214505Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.214505Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:fd9448ed6aa647cd36357b7aa891484300a6d5d62a3e87fbe171a0d7e610bdc6","observation_id":"d23ea261-d3f2-44fe-98a9-4741cae0624a","resolution":{"observed_at":"2026-08-06T16:28:21.214505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:21.219114Z","title":"Improving language understanding by generative pre-training","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.219114Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:f63572460aab23afbd093fbd146f1ee28a59787c1010530d23ec4b43a661be17","observation_id":"e01d6eed-73a8-49c1-bcde-258b62e6bb2e","resolution":{"observed_at":"2026-08-06T16:28:21.219114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:23.185851Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"1501f2ee-4320-44ef-97cb-c65c3142c92f","year":2021},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.226702Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:e877bffea2d9907e1c8d43f34bf27b8c3de470fe2d3cfbaf59c8fa078308cf9b","observation_id":"88b655f4-e716-4e19-91f4-d258624647b0","resolution":{"observed_at":"2026-08-06T16:28:23.297100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.988917Z","title":"Dynamic neural networks: A survey","venue":null,"work_id":"e514f06a-b217-4452-b1f8-0d6de6a357bd","year":2021},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.240569Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:b447b4917e62b528fb36d8bf49b0d6c9119971907b4f64c7d7e07009a033f2f7","observation_id":"81bf8a3c-de3a-470b-8cc1-3dbcba595ab2","resolution":{"observed_at":"2026-08-06T16:28:23.071766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.851416Z","title":"Nearest neighbor machine translation","venue":null,"work_id":"dc44f37e-db07-46fe-ac4c-a2f21ccc9754","year":2021},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.248505Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:375523de30b16c34a5576562734e8ce139cf0ff3f847add0e725d060c75ca260","observation_id":"5a58364b-72bd-4ad7-a798-60a07bcc9978","resolution":{"observed_at":"2026-08-06T16:28:22.925962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05507","last_updated":"2019-11-13T14:36:01Z","snapshot_observed_at":"2026-07-06T08:36:43.643240Z","submitted_at":"2019-11-13T14:36:01Z","title":"Compressive Transformers for Long-Range Sequence Modelling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05507","snapshot_observed_at":"2026-08-06T16:28:21.260156Z","title":"Compressive transformers for long-range sequence modelling","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.260156Z"},"links":{"cited_paper":"/paper/1911.05507","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:7e58204d392799bf78af3553ccdc693826d0a330c51b84486b4392d950f82541","observation_id":"0ad85e4c-3d8d-47e5-986d-b373938764f4","resolution":{"observed_at":"2026-08-06T16:28:21.260156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.08983","last_updated":"2017-02-21T16:21:21Z","snapshot_observed_at":"2026-08-04T14:24:45.814840Z","submitted_at":"2016-03-29T22:09:00Z","title":"Adaptive Computation Time for Recurrent Neural Networks","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.08983","snapshot_observed_at":"2026-08-06T16:28:21.278876Z","title":"Adaptive computation time for recurrent neural networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.278876Z"},"links":{"cited_paper":"/paper/1603.08983","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:e621663396032b6a34bf55f5b63795ec04889ca973de1da498519d341d9dd0bb","observation_id":"fe6b8d93-f740-4cec-b7f3-9651b08d83d7","resolution":{"observed_at":"2026-08-06T16:28:21.278876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.823270Z","title":"Deep networks with stochastic depth","venue":null,"work_id":"b7f270c7-824e-485d-8314-cf5be5f9d40b","year":2016},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.304822Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:2aa8899fab7da87e9d5a3bec54997584967a89ad7a26ddcd47e9404104ee7f9a","observation_id":"dafbd710-ec10-4e72-b54c-4833124eb80b","resolution":{"observed_at":"2026-08-06T16:28:22.833526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.793316Z","title":"Branchynet: Fast inference via early exiting from deep neural networks","venue":null,"work_id":"5be9a8e7-5477-4593-a76d-ea49907b3195","year":2016},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.322390Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:0118f0a71d7be1798c95295c086aec33dbd86ac8b2c3a17ddaa923c4bb7283e6","observation_id":"a3e9a6b1-c7d9-44a2-a34a-bb4ce886c8de","resolution":{"observed_at":"2026-08-06T16:28:22.808383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.05407","last_updated":"2021-09-02T08:48:41Z","snapshot_observed_at":"2026-07-06T11:28:17.810519Z","submitted_at":"2021-07-12T13:24:03Z","title":"PonderNet: Learning to Ponder","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.05407","snapshot_observed_at":"2026-08-06T16:28:21.342403Z","title":"Pondernet: Learning to ponder","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.342403Z"},"links":{"cited_paper":"/paper/2107.05407","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:28652d977b91573c9099cfb82f12629f5207c58863b81a91e5b24936c59ef653","observation_id":"28faae89-997c-459c-845b-6edb9bfc1cd1","resolution":{"observed_at":"2026-08-06T16:28:21.342403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02258","last_updated":"2024-04-02T19:28:11Z","snapshot_observed_at":"2026-07-06T17:54:47.689340Z","submitted_at":"2024-04-02T19:28:11Z","title":"Mixture-of-Depths: Dynamically allocating compute in transformer-based language models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02258","snapshot_observed_at":"2026-08-06T16:28:21.377947Z","title":"Mixture-of-depths: Dynamically allocating compute in transformer-based language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.377947Z"},"links":{"cited_paper":"/paper/2404.02258","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:7ba442621d8d9fe1f7dc2d0fdfbd6cd6ca5878d7946962afd1c5e13b4d24ae30","observation_id":"bc92f915-b565-4ae4-97b3-be0718d71315","resolution":{"observed_at":"2026-08-06T16:28:21.377947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03456","last_updated":"2024-10-09T01:01:34Z","snapshot_observed_at":"2026-08-03T12:53:03.694919Z","submitted_at":"2024-10-04T14:14:28Z","title":"Dynamic Diffusion Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03456","snapshot_observed_at":"2026-08-06T16:28:21.384422Z","title":"Dynamic diffusion transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.384422Z"},"links":{"cited_paper":"/paper/2410.03456","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:2d67edf1857ff9c5d4c9c2a7acc01528599c5f435dd1df75fd04fe5357874853","observation_id":"dee8e51c-6cfd-474a-b278-9c5b45d57f51","resolution":{"observed_at":"2026-08-06T16:28:21.384422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.752089Z","title":"Forces in molecules","venue":null,"work_id":"d43712fd-4fb0-449c-a391-076e24120732","year":1939},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.394929Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:9e7495adfac9d4778233ae3b753678772868309f2a4807d713543c95da4552c3","observation_id":"a522a94f-8078-426b-9ba5-31a14cf23426","resolution":{"observed_at":"2026-08-06T16:28:22.766517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.714162Z","title":"A Learning Rule for Asynchronous Perceptrons with Feedback in a Combinatorial Environment","venue":null,"work_id":"305fc801-8cec-4cad-aabd-0e5874294c22","year":1987},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.407531Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:7985c809c299441d73908348f33bce5a558431e23557872c561feb6e2d803c64","observation_id":"83ba135c-6d07-4609-adc7-badc3e57f571","resolution":{"observed_at":"2026-08-06T16:28:22.723147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:21.421207Z","title":"Generalization of back propagation to recurrent and higher order neural networks","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.421207Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:9e6fd8a117930c3ca63a62821f478a03f74d7dbf007aafe1929127dcc600bcdb","observation_id":"95ce7498-3b2c-490b-aa61-fbbfa16b1eeb","resolution":{"observed_at":"2026-08-06T16:28:21.421207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.668174Z","title":"Reviving and improving recurrent back-propagation","venue":null,"work_id":"2a82cc0b-c5cb-429c-b7a7-986be3858e59","year":2018},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.428139Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:3b0abbb86211aa0ed80951ad5f375c9713bc0ba00ac5060a1b2b38115aca55e8","observation_id":"09ca0205-d5f0-49d3-82ca-b21df7987978","resolution":{"observed_at":"2026-08-06T16:28:22.679374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.650682Z","title":"Deep equilibrium models","venue":null,"work_id":"6b1836ad-25a5-473d-8c5d-0b4151a513df","year":2019},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.433592Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:4591e0947ab1d093ff35588580375adf6b7ebf3e33d8656483239312a265a6e7","observation_id":"95db737c-3ed9-452a-af92-b1423c014d08","resolution":{"observed_at":"2026-08-06T16:28:22.655569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.630105Z","title":"On training implicit models","venue":null,"work_id":"9954eae1-5b90-462d-ae69-784a2993e091","year":2021},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.442165Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:3cd5ca44521f0e6ebab4cd6a4d44581db60a5f757460c3ac3077bb4dfd5ce313","observation_id":"55fc0c1a-2eb1-4c7b-8b0c-6c07813087ea","resolution":{"observed_at":"2026-08-06T16:28:22.636632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.613378Z","title":"Differentiable forward and backward fixed-point iteration layers","venue":null,"work_id":"dc315de0-e665-4e38-8f22-da6c710e8784","year":2021},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.448122Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:fc74a7253dc5761fb38367baea953e248d300b6314fc7d1b9409a62bd67081d5","observation_id":"20cf4bf7-c504-47f3-a539-b7b1d0847d2c","resolution":{"observed_at":"2026-08-06T16:28:22.618530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.595855Z","title":"Invariant rectification of non-smooth planar curves","venue":null,"work_id":"714f49f9-5b3e-4fb6-a465-b2c52a4d8e70","year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.461079Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:4d79c5c4634d76bd5eb7b0f6e3b91156bf42d93d0323ea9a4979a4c502f01ef7","observation_id":"0f478a8a-56ae-4e89-9109-de8be8c0dbac","resolution":{"observed_at":"2026-08-06T16:28:22.602016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11279","last_updated":"2024-10-15T04:57:02Z","snapshot_observed_at":"2026-07-06T19:33:39.134036Z","submitted_at":"2024-10-15T04:57:02Z","title":"Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.11279","snapshot_observed_at":"2026-08-06T16:28:21.468680Z","title":"Advancing the understand- ing of fixed point iterations in deep neural networks: A detailed analytical study","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.468680Z"},"links":{"cited_paper":"/paper/2410.11279","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:e22ef2416ee406c61c7b4a5b4650838ad0d9e47ab2d20e1d7236a525002040f2","observation_id":"a6e94021-3841-49bf-bcbe-8f468e37f557","resolution":{"observed_at":"2026-08-06T16:28:21.468680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.576793Z","title":"Automatic differentiation of nonsmooth iterative algorithms","venue":null,"work_id":"e77ee5fd-7f66-4478-93f1-ed1c56b8c06c","year":2022},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.475802Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:100f07466afcc9a2984abd227ef32c33ac0c2f457a7b116084666a1a7d0e17ea","observation_id":"f2023a2f-5df3-4b52-97d4-c8ad0f381609","resolution":{"observed_at":"2026-08-06T16:28:22.582728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.554643Z","title":"Spatially adaptive computation time for residual networks","venue":null,"work_id":"97adf612-46b9-4ab4-a83e-145cfd776edb","year":2017},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.486661Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:e853e7ab63f2d0e2b8d6f382255bc73563b2400d87ec0b912cb0277e333d7932","observation_id":"94b99c37-88e8-4550-86b8-3f4c41149566","resolution":{"observed_at":"2026-08-06T16:28:22.562626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.10073","last_updated":"2020-02-14T20:49:40Z","snapshot_observed_at":"2026-07-06T08:31:23.192830Z","submitted_at":"2019-10-22T16:15:58Z","title":"Depth-Adaptive Transformer","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.10073","snapshot_observed_at":"2026-08-06T16:28:21.495470Z","title":"Depth-adaptive transformer.arXiv preprint arXiv:1910.10073, 2019","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.495470Z"},"links":{"cited_paper":"/paper/1910.10073","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:3c5551d2bedbd7cd032ab2b54c9d20070bb7e42d4a9fd0196c781950619a2144","observation_id":"bba254c7-9c75-4049-9fac-1434aea1ca02","resolution":{"observed_at":"2026-08-06T16:28:21.495470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.533440Z","title":"Augmenting language models with long-term memory","venue":null,"work_id":"9d0c5bfc-acd5-4f32-9a3b-4d65ddfb73c0","year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.502445Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:3f663bc000a59672d59144b4ebf9ab7fe5d69de0a5cccddc905e8912b4649c49","observation_id":"d918f508-1385-4051-addf-3e5f855b3999","resolution":{"observed_at":"2026-08-06T16:28:22.541687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18926","last_updated":"2024-05-24T10:14:55Z","snapshot_observed_at":"2026-07-06T17:52:09.743509Z","submitted_at":"2024-02-27T08:18:02Z","title":"XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18926","snapshot_observed_at":"2026-08-06T16:28:21.509348Z","title":"Enhancing efficiency in sparse models with sparser selection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.509348Z"},"links":{"cited_paper":"/paper/2403.18926","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:7117722f2ebc0bd778d413dc41481ea631a77a39d2e1ca0548229713042cf492","observation_id":"64fd83d0-a500-4c59-8149-743d4a76a0db","resolution":{"observed_at":"2026-08-06T16:28:21.509348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.07799","last_updated":"2019-08-08T06:58:31Z","snapshot_observed_at":"2026-07-06T07:54:02.817335Z","submitted_at":"2019-05-19T19:43:14Z","title":"Adaptive Attention Span in Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.07799","snapshot_observed_at":"2026-08-06T16:28:21.514924Z","title":"Adaptive attention span in transformers","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.514924Z"},"links":{"cited_paper":"/paper/1905.07799","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:221435696d1c4044f143b0aa0a5eccba86ccd2141cba66cd9744634bf612fb82","observation_id":"1374c012-f5cb-46d4-af7a-b3a17fa0cd58","resolution":{"observed_at":"2026-08-06T16:28:21.514924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06769","last_updated":"2025-11-03T00:53:34Z","snapshot_observed_at":"2026-08-07T06:05:27.895209Z","submitted_at":"2024-12-09T18:55:56Z","title":"Training Large Language Models to Reason in a Continuous Latent Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06769","snapshot_observed_at":"2026-08-06T16:28:21.522817Z","title":"Training large language models to reason in a continuous latent space","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.522817Z"},"links":{"cited_paper":"/paper/2412.06769","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:16ada4d2c0dd2efbe4c66d00c739ac4612bb94038c6de3c3d40c2cbbef6e7db4","observation_id":"28532898-ca10-4656-bfda-286fbde42d48","resolution":{"observed_at":"2026-08-06T16:28:21.522817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02820","last_updated":"2025-07-14T18:22:53Z","snapshot_observed_at":"2026-07-06T19:45:21.541944Z","submitted_at":"2024-11-05T05:41:41Z","title":"DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02820","snapshot_observed_at":"2026-08-06T16:28:21.528881Z","title":"Droidspeak: Enhancing cross-llm communication","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.528881Z"},"links":{"cited_paper":"/paper/2411.02820","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:fe8e811f1fcffc4e006871a2b70d8a3d0c08f7f6ba9265e7b7ca3569e20a71a6","observation_id":"350f16c8-c83c-4348-88fc-0a2f4aec9325","resolution":{"observed_at":"2026-08-06T16:28:21.528881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.516848Z","title":"A novel convolution transformer-based network for histopathology-image classification using adaptive convolution and dynamic attention","venue":null,"work_id":"8beade6a-aa6d-4af4-9a2a-3b738d05b48e","year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.544739Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:638de528576b7e2797bc3909cfdfc6cb0182e8666a5fdfe792459a79dae68f43","observation_id":"0d9fd1f9-7af7-42d4-82bf-f7fd514bb6d2","resolution":{"observed_at":"2026-08-06T16:28:22.521962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.07843","last_updated":"2016-09-26T04:06:13Z","snapshot_observed_at":"2026-07-06T05:12:10.387914Z","submitted_at":"2016-09-26T04:06:13Z","title":"Pointer Sentinel Mixture Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.07843","snapshot_observed_at":"2026-08-06T16:28:21.552628Z","title":"Pointer sentinel mixture models","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.552628Z"},"links":{"cited_paper":"/paper/1609.07843","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:4e0d67a103c90d3498be2ea2e6e895072899d8f2753421b7d638e685cdc930b2","observation_id":"69b2ade8-4932-4548-a0dc-99e1ad242381","resolution":{"observed_at":"2026-08-06T16:28:21.552628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2402.17512","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.140110Z","title":"Latent attention for linear time transform- ers","venue":null,"work_id":"84d4b424-209a-4c9e-aea0-784c4b88ca39","year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.561634Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:cf8a835efb1ba953ee57b03c9f24f212344b6604138d28b6cf271d4ef2b884fd","observation_id":"e732dc59-9e0c-4526-ac1b-b77a59979b7d","resolution":{"observed_at":"2026-08-06T16:28:22.149365Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.02876","last_updated":"2020-07-20T13:57:49Z","snapshot_observed_at":"2026-07-06T09:35:47.880807Z","submitted_at":"2020-07-06T16:42:24Z","title":"A Mathematical Theory of Attention","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.02876","snapshot_observed_at":"2026-08-06T16:28:21.577536Z","title":"A mathematical theory of attention","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.577536Z"},"links":{"cited_paper":"/paper/2007.02876","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:7fd1f3f243f8660a5358600b34078818438d3531e787f238467f28c84a191435","observation_id":"f44d2fbb-3a5d-40de-8f97-86a03e21f753","resolution":{"observed_at":"2026-08-06T16:28:21.577536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.05250","last_updated":"2016-10-11T02:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-06-16T16:36:00Z","title":"SQuAD: 100,000+ Questions for Machine Comprehension of Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.05250","snapshot_observed_at":"2026-08-06T16:28:21.585685Z","title":"Squad: 100,000+ questions for machine comprehension of text","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.585685Z"},"links":{"cited_paper":"/paper/1606.05250","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:f9b557264d3672a3daba6a4c0718abd426033335b584458c178550fcfb089571","observation_id":"e797db04-de08-4e56-b86c-d9ca80e349e0","resolution":{"observed_at":"2026-08-06T16:28:21.585685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.07461","last_updated":"2019-02-22T23:53:34Z","snapshot_observed_at":"2026-07-06T06:34:26.609892Z","submitted_at":"2018-04-20T06:35:04Z","title":"GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07461","snapshot_observed_at":"2026-08-06T16:28:21.591180Z","title":"Glue: A multi-task benchmark and analysis platform for natural language under- standing","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.591180Z"},"links":{"cited_paper":"/paper/1804.07461","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:579c8161038f8557bda1ad974ebea047e44f2cfd0324f5a4b7856c5f43f0406e","observation_id":"3602f37f-4845-4087-9d12-be48ec6005f1","resolution":{"observed_at":"2026-08-06T16:28:21.591180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:21.597358Z","title":"Efficientnetv2: Smaller models and faster training","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.597358Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:af5f9d5cb578bfae01827eec5ee8f0edd951a8361ea7cb0412a762d8d3f4a777","observation_id":"4d688777-2749-4750-96b1-ffbf817f70a7","resolution":{"observed_at":"2026-08-06T16:28:21.597358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12332","last_updated":"2023-01-29T02:59:14Z","snapshot_observed_at":"2026-08-05T09:08:50.787278Z","submitted_at":"2023-01-29T02:59:14Z","title":"Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration","version":1},"cited_work":{"arxiv_id":"2301.12332","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.12332","snapshot_observed_at":"2026-08-06T16:28:21.988811Z","title":"Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration","venue":"cs.CV","work_id":"2c9b42fc-065b-4a21-ab7e-3411e4156a60","year":2023},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.601879Z"},"links":{"cited_paper":"/paper/2301.12332","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:a76e17c654a9b80f95a56714ad9c98c5641a16dff55493aa5510742b06bd80a9","observation_id":"626e971e-2542-403e-8c9b-e8b9bc47a8ab","resolution":{"observed_at":"2026-08-06T16:28:21.996067Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.484800Z","title":"Pirm challenge on perceptual image enhancement on smartphones: report","venue":null,"work_id":"396b591d-78ab-4ebd-90f2-bd891f0c8fd2","year":2019},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.609609Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:cc5c44f19c48a96f0d58fa7bc2d151651f2bcdbbd2d0963cbcf30d45a0672a29","observation_id":"961d888d-6ac5-4c63-a4c7-1d996ad8ac33","resolution":{"observed_at":"2026-08-06T16:28:22.490092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:21.615214Z","title":"Mimir: Masked image modeling for mutual information-based adversarial robustness","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.615214Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:0073b083f6fd5e28d246dc21b52277d7433bb5b6f3de5f747b6094819ef229b5","observation_id":"17715401-f5e5-4a4f-acf2-101c8c672a72","resolution":{"observed_at":"2026-08-06T16:28:21.615214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.462645Z","title":"Making the v in vqa matter: Elevating the role of image understanding in visual question answering","venue":null,"work_id":"13c5a290-0cf1-469b-9213-d8cb9da89daf","year":2017},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.621237Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:a77840b2caa11f4eb7fd1b9eb71e385287ff9c087d08391efa7955e71195d083","observation_id":"271cd21d-d109-47d7-8331-1b2b6829e9d4","resolution":{"observed_at":"2026-08-06T16:28:22.467331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:21.627271Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.627271Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:26b909385dc7a1ddcf87b05b6ab1e0a96838f37f7246c4c02126f54f45fe2808","observation_id":"00c18a34-1afb-4be9-b4de-baf137b031f4","resolution":{"observed_at":"2026-08-06T16:28:21.627271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:21.633407Z","title":"Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.633407Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:cbc34f221f589e645f18a2832dde4eab3d72bb438d4347850f310ad3b91a8cf7","observation_id":"4bee23a9-0ec0-46e9-8cf2-5462c4efa8ef","resolution":{"observed_at":"2026-08-06T16:28:21.633407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-06T16:28:21.638395Z","title":"Decoupled weight decay regularization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.638395Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:2a6f4017a24157164ac882a9d4a19da75932bb6234d1e53fce1e7a50831e3fdd","observation_id":"4d77a80e-adeb-4240-a52a-89cb3672b9a9","resolution":{"observed_at":"2026-08-06T16:28:21.638395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01590","last_updated":"2024-03-31T14:31:14Z","snapshot_observed_at":"2026-07-06T17:38:51.653737Z","submitted_at":"2024-03-03T18:58:21Z","title":"The Hidden Attention of Mamba Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01590","snapshot_observed_at":"2026-08-06T16:28:21.643795Z","title":"The hidden attention of mamba models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.643795Z"},"links":{"cited_paper":"/paper/2403.01590","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:34a07efa547ac2499ff3172e438a3216ada5b5ba8f63664615ae24cd114dae8b","observation_id":"51cf3fd4-6e8c-4f4f-92e8-b1dfa07b194d","resolution":{"observed_at":"2026-08-06T16:28:21.643795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.04768","last_updated":"2020-06-14T08:15:54Z","snapshot_observed_at":"2026-07-06T09:27:03.809621Z","submitted_at":"2020-06-08T17:37:52Z","title":"Linformer: Self-Attention with Linear Complexity","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.04768","snapshot_observed_at":"2026-08-06T16:28:21.649281Z","title":"Linformer: Self-attention with linear complexity","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.649281Z"},"links":{"cited_paper":"/paper/2006.04768","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:bc96c5f1358e8196393ba7da5f37765ad25a9da4ea22d3c684cf9fd6d4c13dbc","observation_id":"5bff1a1a-f9de-418d-9f25-4fb324f529da","resolution":{"observed_at":"2026-08-06T16:28:21.649281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09283","last_updated":"2024-03-14T08:28:13Z","snapshot_observed_at":"2026-07-06T15:55:21.408850Z","submitted_at":"2023-07-18T14:24:33Z","title":"RepViT: Revisiting Mobile CNN From ViT Perspective","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09283","snapshot_observed_at":"2026-08-06T16:28:21.654095Z","title":"Repvit: Revisiting mobile cnn from vit perspective","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.654095Z"},"links":{"cited_paper":"/paper/2307.09283","citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:0a7edcfcbd7067941fff0564eaf3f0c53078486bba464e437be17d5ed4cffadf","observation_id":"f6d06c7b-9577-4dbf-bdbd-568b55707af1","resolution":{"observed_at":"2026-08-06T16:28:21.654095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.424044Z","title":"The quick brown fox jumps over the lazy dog","venue":null,"work_id":"60225fd0-e853-4635-85c8-b20331e9c26d","year":null},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.662857Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:1b2b9910c329547d62632942f2d2722b052382668f355f5b143a34c68cd9f240","observation_id":"629b03c0-90ab-4bc8-b65c-0520c18a474b","resolution":{"observed_at":"2026-08-06T16:28:22.428360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:28:22.409130Z","title":null,"venue":null,"work_id":"ca76aefe-7cec-455e-bb3f-d62befd7fd75","year":null},"citing_paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T16:28:21.670673Z"},"links":{"citing_paper":"/paper/2507.13569"},"observation_digest":"sha256:72e0c48064d47a79a992481784b0d7bc9460b96ae3c5bef7281385fb2525926e","observation_id":"0edc2e29-2d4a-4baf-924e-2765534a441c","resolution":{"observed_at":"2026-08-06T16:28:22.413984Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.13569","last_updated":"2025-07-17T23:12:57Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T16:19:29.090201Z","submitted_at":"2025-07-17T23:12:57Z","title":"Change of Thought: Adaptive Test-Time Computation"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":2,"verified_fuzzy":19},"total_outbound_references":52},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.13569."}