{"as_of":"2026-08-18T14:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d65a463e17c92387f4118c45823afebb13688230d92aaf19c8d94552396a6930","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:19:08.434886Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:11:55.325064Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T13:26:04.470618Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.20922","snapshot_observed_at":"2026-08-15T21:11:55.325064Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.10457","last_updated":"2026-06-23T08:14:28Z","snapshot_observed_at":"2026-08-17T12:18:08.501082Z","submitted_at":"2025-05-15T16:14:18Z","title":"SEAL: Searching Expandable Architectures for Incremental Learning","version":3},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T21:11:55.325064Z"},"links":{"cited_paper":"/paper/2504.20922","citing_paper":"/paper/2505.10457"},"observation_digest":"sha256:ab70fb9c0b5cf17774c4cd1d3f32359820402a98103dcaeff9c9a512694dc625","observation_id":"8dea86c3-65f4-445b-a845-adaba0e2a2cd","resolution":{"observed_at":"2026-08-15T21:11:55.325064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"cited_work":{"arxiv_id":"2504.20922","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.20922","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dynamic Computing for Transformers","venue":null,"work_id":"c5ff7ac3-1025-469b-9d39-01b9e95e2a97","year":2025},"citing_paper":{"arxiv_id":"2604.20682","last_updated":"2026-04-22T15:31:46Z","snapshot_observed_at":"2026-08-15T13:47:52.484402Z","submitted_at":"2026-04-22T15:31:46Z","title":"Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T01:44:42.989053Z"},"links":{"cited_paper":"/paper/2504.20922","citing_paper":"/paper/2604.20682"},"observation_digest":"sha256:cb0abb7ef32a04351448ca5d7ee58a921112cbdfafee18fabecf6ce36f6aca39","observation_id":"c3bd16ff-45aa-469d-9104-82357ae88316","resolution":{"observed_at":"2026-05-11T13:26:04.474010Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.20922/citation-record","integrity":"/paper/2504.20922/integrity","json":"/paper/2504.20922/citation-record.json","paper":"/paper/2504.20922"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:19:08.902690Z","title":"Scaling Autoregressive Multi- Modal Models: Pretraining and Instruction Tuning,","venue":null,"work_id":"59441875-f970-42ff-acc2-9b3375a94e1d","year":2023},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.279687Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:d1a534678ee2270bdf0c3967b46678ca9d911446393cdaf013e6e7c8b68e667f","observation_id":"66af68b4-619b-4a71-9b63-b5de370fb4cb","resolution":{"observed_at":"2026-08-16T05:19:08.906677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.892017Z","title":"Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study,","venue":null,"work_id":"9f342b84-7b38-452c-a0f5-3b600328eee0","year":2023},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.284347Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:57dcb81238a8374f478813181fe2544d31da1379539016a282ba62aa8d761502","observation_id":"036f2e92-fa58-4b94-9a56-570ce4836140","resolution":{"observed_at":"2026-08-16T05:19:08.895799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.879555Z","title":"Attention is All you Need,","venue":null,"work_id":"59a0fc89-b8f0-49e7-987c-5f04b7349302","year":2017},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.288554Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:8d1ad8db0386f21b281d026f5b8879a56e1e57f3115a3054e6031f221f536a5a","observation_id":"053ce007-934b-46d7-a930-e424b0c3ee98","resolution":{"observed_at":"2026-08-16T05:19:08.883571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.867757Z","title":"LLaMA: Open and Efficient Foundation Language Models,","venue":null,"work_id":"2ab492b4-c980-45ad-8a9c-fce6f4317372","year":2023},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.292723Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:ed13190fab30c7e5172bedefd5150439e5c3cd4ff617a1c3eaf1cc4aaafd863c","observation_id":"31287879-6c77-47ca-b8b5-7b341f2268ed","resolution":{"observed_at":"2026-08-16T05:19:08.872340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.855767Z","title":"Mistral 7B,","venue":null,"work_id":"33b127d5-748b-4833-ac2f-009c9777c776","year":2023},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.296733Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:db206a911e6637e677a9402f47e398f960f71089a79940fa2deee5e12457cd0a","observation_id":"6b3b2330-628f-4fc2-bf50-d50e2b12d60e","resolution":{"observed_at":"2026-08-16T05:19:08.860636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.300954Z","title":"Language models are unsupervised multitask learners,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.300954Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:9bda5842de3494d1713a79e8846298633ecd9851f1f7e1a1574484194b440e26","observation_id":"418d4cea-fece-437c-a9ab-6f7431552dee","resolution":{"observed_at":"2026-08-16T05:19:08.300954Z","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":"2026-08-16T05:19:08.838032Z","title":"Claude 3 model card,","venue":null,"work_id":"4d181c52-1e6f-4400-8f9d-32b15ea9a972","year":2023},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.304552Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:3cf90d0aab2afd7fa6fe229166e7fae929e97b61f8bd81a4dbf0449099eaaddb","observation_id":"3f3dff9b-9cd9-4135-a8bb-ce7b97aec503","resolution":{"observed_at":"2026-08-16T05:19:08.841654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.827044Z","title":"Scaling LLM Test-Time Com- pute Optimally can be More Effective than Scaling Model Parameters,","venue":null,"work_id":"f42ab915-f16e-4852-a4a7-80151bdfb213","year":2024},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.307991Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:8ff650df3e1f3448ae90350860e1740f00be3c9d64af1249b85020597521378b","observation_id":"3ce85e03-c17a-4894-b6dd-ee340e7f1927","resolution":{"observed_at":"2026-08-16T05:19:08.831183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.816850Z","title":"Learning to reason with LLMs,","venue":null,"work_id":"4f417ba4-e37b-4a82-a69e-6b7741459cf5","year":2024},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.311327Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:3dac9aae1435a36b0d58475a2fff2cc516f528dbc49af68c6de8c3b45eaee544","observation_id":"c6a98eda-a311-43cc-9c82-4f0e367cc389","resolution":{"observed_at":"2026-08-16T05:19:08.820626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.806692Z","title":"DeepSeek-R1: Incentiviz- ing Reasoning Capability in LLMs via Reinforcement Learning,","venue":null,"work_id":"d2a84196-f77a-47c9-8acc-34d22f2fd5af","year":2025},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.314764Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:145ccc1e0bea7419a4ce3704b3d7e730a7485c91416ebd1e46b9bfcf25a9550b","observation_id":"0f63b66d-940b-4a33-9c11-ee18785d82b0","resolution":{"observed_at":"2026-08-16T05:19:08.810719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.797127Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces,","venue":null,"work_id":"19027c84-b141-4513-948f-f597003dc62e","year":2023},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.318189Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:a05aa82594545543313d4531444d570e547d47323e832ef6fb02308bbba90f90","observation_id":"770dcc2b-1db8-4545-8518-7129f1ad02a9","resolution":{"observed_at":"2026-08-16T05:19:08.800593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.787849Z","title":"Early exit optimizations for additive machine learned ranking systems,","venue":null,"work_id":"8637c55a-f19b-44cc-a9a2-897496d69e96","year":2010},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.321468Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:05f0b1d87cbb5bdc687b806049f8bdcfbe397d6a58be0014fa4274bba27c0fa7","observation_id":"e8584f30-7a55-4121-97ba-62ca7984b3c5","resolution":{"observed_at":"2026-08-16T05:19:08.791309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.776749Z","title":"Branchynet: Fast inference via early exiting from deep neural networks,","venue":null,"work_id":"f1a17e14-6944-4f44-8187-78680779d97e","year":2016},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.325510Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:0f9002b3086c504ca51f9605d431a653a588b2e75452fb87f30c5a1e74ffcd0c","observation_id":"bf0232a2-4326-43a5-aa0a-75141a4f66cf","resolution":{"observed_at":"2026-08-16T05:19:08.781002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.766866Z","title":"SkipNet: Learning Dynamic Routing in Convolutional Networks,","venue":null,"work_id":"def699aa-ed94-4f16-94ac-c193f43c46fa","year":2017},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.329108Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:6ea9a046bf6e615e2f3a909e62fc9d02c64f9936cce778e242a1eda998d91ace","observation_id":"74f20bf4-7766-4de9-af94-8d36ecd0a1ce","resolution":{"observed_at":"2026-08-16T05:19:08.770364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.756186Z","title":"Dynabert: Dynamic bert with adaptive width and depth,","venue":null,"work_id":"33dd8880-d4fd-4aaf-812c-9cdbd6b98d7d","year":2020},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.332655Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:af0f1c529d36d2b78258aac661f0597aae18462792b96043e96041f4c6ce0cd4","observation_id":"23c2fe5a-8d63-4a96-bf3f-f4fed8323995","resolution":{"observed_at":"2026-08-16T05:19:08.759658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.743923Z","title":"The Unreasonable Ineffectiveness of the Deeper Layers,","venue":null,"work_id":"d899596b-da97-4294-b36c-38b10a715969","year":2024},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.336505Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:76e22191bca13b283b7b9f306d7ba12eaf4e8cff172764d126f2b90aa1d9e081","observation_id":"29e423ae-c2a5-43e9-a7e1-b2076ebf01cc","resolution":{"observed_at":"2026-08-16T05:19:08.748200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.733368Z","title":"BERT: Pre- training of Deep Bidirectional Transformers for Language Understand- ing,","venue":null,"work_id":"2c24b677-c56a-4ed7-b81d-23bae9d5e9b7","year":2018},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.339895Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:217bdc7d199c922e65f83aebfadfa07667f9726e967e084d4479248ee0a03cf6","observation_id":"c55b1e60-e3a0-4383-8c73-49bd53719d6e","resolution":{"observed_at":"2026-08-16T05:19:08.737373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.722630Z","title":"AdaViT: Adaptive Tokens for Efficient Vision Transformer,","venue":null,"work_id":"b7edee1e-29f9-4951-ae42-7e6fb012524b","year":2021},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.343561Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:73a8f55bc0708cc62720c1242280276984dd6daf06ca38f093d43eed7c911490","observation_id":"401de29b-e747-46ed-8967-a65c4c25e73a","resolution":{"observed_at":"2026-08-16T05:19:08.726327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.712064Z","title":"Lgvit: Dy- namic early exiting for accelerating vision transformer,","venue":null,"work_id":"98a9bc86-9728-412c-88d0-218d0d6c0f26","year":2023},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.346913Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:a4254eb11ce7dc471d15e72a94e12cfbc438797c7938a736b5eb43e4012ab38f","observation_id":"78a758db-2d13-41d1-9bae-4a13fc12c240","resolution":{"observed_at":"2026-08-16T05:19:08.715591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.701871Z","title":"Nodeformer: A scalable graph structure learning transformer for node classification,","venue":null,"work_id":"21792c9a-87e6-4075-b278-ca56b7d026de","year":2022},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.350369Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:8ba2049daa477e3d5891b61101b50084ae05dd10d840b9a6f81ccf0f8825c7d4","observation_id":"2af31bf9-2c5d-4feb-8331-f7fce399a7d5","resolution":{"observed_at":"2026-08-16T05:19:08.705508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.690403Z","title":"Cas- cadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade,","venue":null,"work_id":"91b49d2b-d861-4d78-b5fc-24f5ef30bdb2","year":2020},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.353629Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:af0d38b9da455220447da4fccf09a65203090741b1a93f544867b7711968e289","observation_id":"6aa2facc-74be-4827-880a-c60f16beff54","resolution":{"observed_at":"2026-08-16T05:19:08.694570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.679721Z","title":"FastBERT: a Self-distilling BERT with Adaptive Inference Time,","venue":null,"work_id":"3c408ab2-e53b-4dd3-9544-1b4669cd77c1","year":2020},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.357555Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:d1af90e04223cf492d0d0273df7464e74808b7b3ac505c091ef845e2e88c31f4","observation_id":"97aae59f-40aa-4acc-aff9-acf29727f179","resolution":{"observed_at":"2026-08-16T05:19:08.683788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.670025Z","title":"Depth-Adaptive Trans- former,","venue":null,"work_id":"20cca8da-de65-44c1-a03b-10e5f985d7dc","year":2019},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.361417Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:0af33d77e433e907baa5a8cb4a0a73ae8813a6a638f9d27e7ae85948155c976f","observation_id":"94781e21-9d70-48c8-84db-43763c123ce2","resolution":{"observed_at":"2026-08-16T05:19:08.673469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.365648Z","title":"Confident adaptive language modeling,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.365648Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:8df3183c1d7d247044ff63956c8b7400d55147c8fa6b8e2f984a25936dd10884","observation_id":"2978b015-5263-4165-ab7b-129b27914706","resolution":{"observed_at":"2026-08-16T05:19:08.365648Z","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":"2026-08-16T05:19:08.653380Z","title":"Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decodingt5,","venue":null,"work_id":"90b3877a-c598-4bff-8d96-95e9ae9327fd","year":2023},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.369508Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:4ecc28e37ef05b34acee8d025d2c1a69405422c7e43ae09b1c19ea194aef3e02","observation_id":"a6ff465a-da59-4b63-b178-4a3645dc7ffd","resolution":{"observed_at":"2026-08-16T05:19:08.657254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.642848Z","title":"EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism,","venue":null,"work_id":"ef58c141-a678-40d0-b165-098961eb4058","year":2023},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.372964Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:04bdc56504005b1fdffbeef22bab323a1d7397d1cab6d578c8247d70df8508d6","observation_id":"a84aa94f-cef8-4044-9871-340885f5ace2","resolution":{"observed_at":"2026-08-16T05:19:08.646723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.376644Z","title":"Exploring the limits of transfer learning with a unified text-to-text transformer,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.376644Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:7fa0ecf2c15290f8f6af18b523bcaee1604a35b6549e2bebda8af4a784c13aae","observation_id":"90053d09-2dc0-49f0-b7a9-e829d49820d5","resolution":{"observed_at":"2026-08-16T05:19:08.376644Z","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":"2026-08-16T05:19:08.623440Z","title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey,","venue":null,"work_id":"8b0f0226-6d94-4288-b3ec-09db5d297b55","year":2024},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.379956Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:2c4f095eec3b811bc761c6f47a5c3fbd611c59154da5668affe20997a599344c","observation_id":"6c88648c-60e8-4fbf-a12b-f0f5c6778d55","resolution":{"observed_at":"2026-08-16T05:19:08.628035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.611462Z","title":"LoRA: Low-Rank Adaptation of Large Language Models,","venue":null,"work_id":"f34dfcee-1982-4376-afdd-7279b2424621","year":2021},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.383196Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:b140ffdfa40139bed0adec81f9f04ed94f88f7c70d80fd86b6b5a1d33e69fd70","observation_id":"9212d49b-2551-4dae-9f39-0ed3803c980c","resolution":{"observed_at":"2026-08-16T05:19:08.616174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.386708Z","title":"Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.386708Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:aa9633a04dfe0933c51c4f24165b5efa5f342a81759c81f1ba5111aa02cfa7a7","observation_id":"a3bbab7f-9410-4368-84e7-9464b18e08b4","resolution":{"observed_at":"2026-08-16T05:19:08.386708Z","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":"2026-08-16T05:19:08.595742Z","title":"Edanas: Adaptive neural architecture search for early exit neural networks,","venue":null,"work_id":"1ff8192a-0c50-4712-aee4-f73c6d16adb0","year":2023},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.390723Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:efec60d8140838b6e59a45788207972538aae17052fd2ba0cc12eac03a573abc","observation_id":"f9a396e3-c489-4c0f-b2e6-9f7dbe7cdc05","resolution":{"observed_at":"2026-08-16T05:19:08.599434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.584723Z","title":"Greedy layer- wise training of deep networks,","venue":null,"work_id":"b192d325-08a5-438d-a1b2-47d235f495ea","year":2006},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.394113Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:4ecb46b0740f58e5ab3ef8afe26c95cec95a5ac2b8c76a9d90d6fffe49083c9b","observation_id":"bcae24a2-8f91-437f-b89a-e33f4159497e","resolution":{"observed_at":"2026-08-16T05:19:08.588688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.574459Z","title":"Distilling the Knowledge in a Neural Network,","venue":null,"work_id":"dc8da750-051a-4c16-b013-7091fbfce7bf","year":2015},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.397326Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:a9de39212eb415e4356bf0ba203730da3360706c44ffce52f6dc348ad24edb00","observation_id":"02edd933-81e1-4b18-b648-1d21750080bc","resolution":{"observed_at":"2026-08-16T05:19:08.577911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.400705Z","title":"A survey on deep neural network pruning: Taxonomy, comparison, analysis, and recommendations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.400705Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:0a5b4fe1e9aca2bed96c9fe77934de0cf400f28c7cc7d4f708e08e5f32b565cb","observation_id":"967ecd1b-78df-4c31-bcf6-430fe86c182e","resolution":{"observed_at":"2026-08-16T05:19:08.400705Z","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":"2026-08-16T05:19:08.557832Z","title":"The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits,","venue":null,"work_id":"6cd685a1-ebcb-42ee-bc54-02ba9ccd8d45","year":2024},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.403956Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:3862b88f70809103a5bc6254724db50d32af70a7a30ffaaf7b17c20487ea25f6","observation_id":"db953620-4be8-4d7c-88d7-4edd6dea0c7d","resolution":{"observed_at":"2026-08-16T05:19:08.561341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.546260Z","title":"Linformer: Self- Attention with Linear Complexity,","venue":null,"work_id":"4ea05b94-7ea7-4ec5-8dd2-70c61907ab67","year":2020},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.407444Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:43b4efe0a2d8e4ede2824f741f5ed3164a26ff449ebf60f63ca1e510d5c0ade8","observation_id":"63ac9cb1-d1c4-446a-aac5-4a2bbae414b9","resolution":{"observed_at":"2026-08-16T05:19:08.551069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.534152Z","title":"Longformer: The Long- Document Transformer,","venue":null,"work_id":"58f32eed-9791-479b-ba5b-c21c47663413","year":2020},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.410726Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:fb52d0e11e532721d629d32f2c0e0fcffe9e922b9bc5b483876e4c2a557ee9ca","observation_id":"c78daf1d-611c-4247-ac06-1de7003e2f8b","resolution":{"observed_at":"2026-08-16T05:19:08.539049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.523542Z","title":"Codestral mamba,","venue":null,"work_id":"36b2c0a7-b826-45c6-b4d5-f141dc5aa7cb","year":2024},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.414071Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:b528706e22ee4817f0e29b1224b866596779816bf28ae3b6389becb45af813c4","observation_id":"e66c4f51-16b3-40a7-abfb-f7a63446175d","resolution":{"observed_at":"2026-08-16T05:19:08.527178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.512642Z","title":"HuggingFace’s Transformers: State-of-the-art Natural Language Processing,","venue":null,"work_id":"b32b7a92-2bca-473a-9d46-1e28d838598d","year":2019},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.417480Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:3966fe929baa718fb71c08c0fd142ff7dd86e145688e5b3b4fdd1a089b01bd28","observation_id":"832541d4-d684-4f2e-8f33-387a11322c1c","resolution":{"observed_at":"2026-08-16T05:19:08.516407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.501791Z","title":"Fineweb-edu,","venue":null,"work_id":"b75a014d-ee12-4146-940e-2b9ee168fd4a","year":2024},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.420896Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:8b020f70d194b5e9b363aaac44ab347f4af56f1fb586500ffc658e61d2dd4106","observation_id":"0e30cf29-6636-41fc-ac62-aafcc9079ebe","resolution":{"observed_at":"2026-08-16T05:19:08.505429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.490427Z","title":"TruthfulQA: Measuring How Models Mimic Human Falsehoods,","venue":null,"work_id":"942b3061-8c79-4128-a13a-f8399af427f0","year":2021},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.424657Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:8014206bbee95572c3ca0941b2a349747b75c9a4b08da7157d8f54d91db5ac6f","observation_id":"4d749746-b4ff-4d44-94af-994808ce1dc7","resolution":{"observed_at":"2026-08-16T05:19:08.494079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.428339Z","title":"Coqa: A conversational question answering challenge,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.428339Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:65b38a67c75da4fc86432eb96e4f3d555af1ecad1460cbfc95b0a57915d30d57","observation_id":"f3f5c84b-5b4c-4883-8b56-c510f31db792","resolution":{"observed_at":"2026-08-16T05:19:08.428339Z","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":"2026-08-16T05:19:08.472698Z","title":"TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehen- sion,","venue":null,"work_id":"0ead7b76-1125-4db4-a908-58ee06021294","year":2017},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.431639Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:718924c67d82c17c9e86ae9b2cb08e68d0b93ffa8794e8d061028bbe2a26e476","observation_id":"7868364a-2296-4942-8085-6af13d11f12e","resolution":{"observed_at":"2026-08-16T05:19:08.476264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T05:19:08.460263Z","title":"A framework for few-shot language model evaluation,","venue":null,"work_id":"79b2fe2c-773f-4d66-aa1a-d8c55409f14c","year":2024},"citing_paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T05:19:08.434886Z"},"links":{"citing_paper":"/paper/2504.20922"},"observation_digest":"sha256:2413302706f10cbdff9644c20904f6c7d8edb9454d0ad7ad83ef00d7f0b91f8b","observation_id":"6d965324-6b7b-4c00-bd2a-2cf30b819e9b","resolution":{"observed_at":"2026-08-16T05:19:08.465704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.20922","last_updated":"2025-04-29T16:38:15Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T09:33:50.475749Z","submitted_at":"2025-04-29T16:38:15Z","title":"DYNAMAX: Dynamic computing for Transformers and Mamba based architectures"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":38},"total_outbound_references":44},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2504.20922."}